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142 Commits

Author SHA1 Message Date
Owen 9369e60695 Merge branch 'dev' into aig 2026-08-12 09:19:12 -04:00
Owen 295e38d2af Remove arbitrary max 50 limit from email whitelist
Fix #3568
2026-08-12 09:11:10 -04:00
Owen 11595f5f96 use title case and fix colors 2026-08-11 18:02:17 -04:00
Owen b08e875b37 basic ai analytics created 2026-08-11 17:52:27 -04:00
Owen 0016b8fce7 show other tokens on the expanded row 2026-08-11 16:40:24 -04:00
Owen f5b10df7cf fix non-https crypto issue 2026-08-11 16:40:24 -04:00
miloschwartz 1782f31075 show link to provider settings 2026-08-11 16:38:22 -04:00
Owen f7aca85417 link the usage with the session to display together 2026-08-11 16:15:01 -04:00
miloschwartz c42df737b0 improve model provider selection algorithm 2026-08-11 16:10:46 -04:00
Owen 75c6af3b11 Merge branch 'aig' of github.com:fosrl/pangolin into aig 2026-08-11 15:58:12 -04:00
Owen e734cc93a1 small visual adjustments and chat button 2026-08-11 15:57:57 -04:00
Owen e3ccc4f8d4 show the sessions in the ui 2026-08-11 15:50:51 -04:00
miloschwartz 896c362dce only support sso on inference resource auth policy 2026-08-11 15:35:28 -04:00
miloschwartz 864ab97293 hide expire column 2026-08-11 14:59:03 -04:00
Owen bc2f291352 normalize the requests to also store in the log for viewing later 2026-08-11 14:45:25 -04:00
miloschwartz 98f5e39a7f show ai gateway resource details in launcher 2026-08-11 14:42:07 -04:00
Owen e0a66e79bb Continue to quiet log messages 2026-08-11 14:07:33 -04:00
Owen c781be4e70 quiet up some more logs 2026-08-11 14:05:58 -04:00
Owen 48c4b44f72 log chat sessions to database 2026-08-11 12:19:28 -04:00
Owen 68a84181d9 remove excess logging 2026-08-11 12:19:27 -04:00
Owen b60390d805 batch up usage records for insert 2026-08-11 12:19:27 -04:00
miloschwartz b33e776072 add virtual keys link in header on launcher 2026-08-11 12:09:11 -04:00
miloschwartz 2187f23588 add page to retrieve user virtual api keys 2026-08-11 11:53:39 -04:00
miloschwartz 732fd4eba1 allow retrieving api key secret 2026-08-11 10:47:04 -04:00
Owen 495c772d6b Merge branch 'dev' into aig 2026-08-11 09:42:10 -04:00
Owen 02e4fe8b48 Show the provided domains when changing properly 2026-08-11 09:40:55 -04:00
miloschwartz 6d45486bb5 add manual virtual api key create ui 2026-08-10 21:44:38 -04:00
Owen 4c1f7f6243 add caching to budget check 2026-08-10 17:39:00 -04:00
miloschwartz 1e3a9fb921 add virtual api key schema and crud endpoints 2026-08-10 17:20:06 -04:00
Owen 8b8e7913dc budget enforcement logic 2026-08-10 17:17:24 -04:00
Owen 88515a7dad remove duplicate save buttons 2026-08-10 15:31:45 -04:00
Owen e012063f5b add the budget to the models on the provider 2026-08-10 15:09:39 -04:00
Owen e76377d3c7 Match the pg query logging 2026-08-10 14:55:44 -04:00
Owen a357f42c48 allow creating role with budgets 2026-08-10 14:55:44 -04:00
Owen 2becb15916 put the budget on the role form 2026-08-10 14:55:44 -04:00
miloschwartz 186eeed784 add richer model editor on provider 2026-08-10 14:54:58 -04:00
Owen 216c932cb9 order by budget id 2026-08-10 14:12:34 -04:00
Owen 52de5eb539 add the budget config to the resources 2026-08-10 14:08:17 -04:00
Owen eec3119297 Merge branch 'aig' of github.com:fosrl/pangolin into aig 2026-08-10 13:55:10 -04:00
Owen f2e7f83b3d match the budget picker to the rules picker 2026-08-10 13:55:05 -04:00
miloschwartz 93dea0525e basic provider model selector 2026-08-10 12:32:17 -04:00
Owen 7e6e0a8a9c make the budget match the rules 2026-08-10 12:20:47 -04:00
Owen 211d3a53f5 initial budget ui on the provider 2026-08-10 12:03:51 -04:00
miloschwartz 187936e5dd use class with helper methods for model catelog 2026-08-10 11:54:57 -04:00
Owen b180d064d1 adjust conflict to be on unit<>period and add list endpoints for providers 2026-08-10 11:39:34 -04:00
Owen ed46afd81a add subscription override column 2026-08-10 11:15:48 -04:00
Owen 0050fad70d add basic crud for ai budgets 2026-08-10 11:05:10 -04:00
miloschwartz 3dc9c100e9 better form feedback when saving roles 2026-08-10 11:02:44 -04:00
Owen 969e7c9296 add crud endpoint skill 2026-08-10 10:58:11 -04:00
Owen 591caab45a Add documentation for creating new crud endpoints 2026-08-10 10:47:18 -04:00
miloschwartz 02e97d6ae4 add copy button to org id 2026-08-10 10:44:25 -04:00
miloschwartz 996160fadc add missing resource policy actions to api key closes #3542 2026-08-10 10:38:40 -04:00
Owen dc1923ab1f Remove budget periods 2026-08-10 09:57:01 -04:00
Owen fe5831eb48 pull the models from the upstream server 2026-08-10 09:57:00 -04:00
Owen ca79abc9d4 Update structure 2026-08-10 09:57:00 -04:00
miloschwartz 9eafa067b9 improved provider picker ui on resource 2026-08-07 16:13:51 -04:00
miloschwartz 5e5e172d39 add streaming function to capability 2026-08-07 14:36:15 -04:00
miloschwartz bc7a883f6c add some parallelization to ai gateway pipeline 2026-08-07 14:36:11 -04:00
Owen 12056aebc6 Add basic cost calculations for testing 2026-08-07 13:54:32 -04:00
miloschwartz 297cb9c8f2 set provider default capabilities 2026-08-07 12:25:29 -04:00
miloschwartz d699455b38 support changing capabilities on provider integrations 2026-08-07 11:23:07 -04:00
miloschwartz 9e7b4afaec support allow list and blocklist 2026-08-07 10:59:50 -04:00
Owen e91c344e64 Update link to be correct 2026-08-07 10:21:15 -04:00
Owen 07f628b928 add the pangolin header information 2026-08-06 17:53:51 -04:00
Owen 184e1425a4 Private connection working with traefik 2026-08-06 17:22:01 -04:00
Owen 22f2990f56 support streaming and closes properly on site targets 2026-08-06 17:15:11 -04:00
Owen 6c28c5f383 Basic target routing 2026-08-06 15:48:13 -04:00
Owen e9f9cf54f4 Include the sheme in the routing header 2026-08-06 15:18:11 -04:00
Owen 751d1b083d Add back port restrictions 2026-08-06 14:55:07 -04:00
Owen a4d77a4fd3 Fix info box ui 2026-08-06 14:45:25 -04:00
Owen f72252552f Fix saving 2026-08-06 14:28:14 -04:00
miloschwartz c5d68675c9 support patterns in model key 2026-08-06 14:27:08 -04:00
miloschwartz 36b8ef5fba Merge branch 'dev' into aig 2026-08-06 13:59:07 -04:00
Owen 6cca5e0472 Use fulldoman instead of the alias for the site resources 2026-08-06 13:45:51 -04:00
Owen b4d2974e19 Properly configure ssl and domain when creating and editing 2026-08-06 12:20:56 -04:00
Owen fb896d6c0f Add domain to the resource selection 2026-08-06 12:03:40 -04:00
Owen 6564bfe8ae disabled advanced mode on the providers 2026-08-06 11:00:34 -04:00
Owen 75ce7e91d7 Restrict the ai site resource router to exit node subnet 2026-08-06 11:00:34 -04:00
Owen 656eea5bb1 add a target routing provider for custom target resources 2026-08-06 11:00:34 -04:00
miloschwartz aba27a7bbf support skip tls per request 2026-08-05 17:53:28 -04:00
miloschwartz 3d7e322bf9 add headers to provider 2026-08-05 17:42:58 -04:00
miloschwartz 1f3fff4a9d Merge branch 'aig' of https://github.com/fosrl/pangolin into aig 2026-08-05 16:55:58 -04:00
miloschwartz 39e06f2b6d add api capabilities 2026-08-05 16:55:48 -04:00
Owen b775c5b674 include clients in the peer config 2026-08-05 16:24:09 -04:00
Owen 796bf37141 ai gateway override only required sometimes 2026-08-05 16:24:01 -04:00
Owen c5b0e1e876 add QUERY_LOGGING env to sqlite driver for verbose logging 2026-08-05 16:17:28 -04:00
miloschwartz 2e8bd7a8c7 improve form error codes 2026-08-05 15:56:12 -04:00
miloschwartz 790daba796 allow no provider on a resource 2026-08-05 15:43:42 -04:00
miloschwartz bcf6b86b84 add no auth and passthrough auth 2026-08-05 15:39:08 -04:00
miloschwartz 2e9bd50172 add provider specific auth modes 2026-08-05 15:17:50 -04:00
miloschwartz c673dce484 pin docker base image 2026-08-05 13:34:45 -04:00
Owen e1dd8965dc Remove extra checks 2026-08-05 11:31:12 -04:00
Owen 346a0bdc98 Resolve syntax issue 2026-08-05 10:31:14 -04:00
Owen 8c1169738e Merge branch 'aig' of github.com:fosrl/pangolin into aig 2026-08-05 10:24:42 -04:00
miloschwartz bc80f91a45 gateway endpoint mvp 2026-08-05 10:24:37 -04:00
Owen 3d062389e9 update oss with gateway traefik routers 2026-08-05 10:14:40 -04:00
Owen 7afddb5eb5 Clean logging 2026-08-05 10:00:36 -04:00
Owen 425a99e5ee Show the auth settings for testing 2026-08-05 09:59:41 -04:00
Owen a5e9339af9 Merge branch 'dev' into aig 2026-08-05 09:32:03 -04:00
miloschwartz 83e20c2dfa adjust placeholder ui for rules and targets 2026-08-04 17:36:00 -04:00
miloschwartz f85d41945a Merge branch 'aig' of https://github.com/fosrl/pangolin into aig 2026-08-04 17:27:10 -04:00
miloschwartz 149eb17b27 create basic public inference resource 2026-08-04 17:26:57 -04:00
Owen 72d469b19c Revert changes to traefik config to pull site resources 2026-08-04 17:17:51 -04:00
Owen 6526d7f225 Remove completions endpoints 2026-08-04 17:09:44 -04:00
Owen 36c0edc62e Use p host to pass the host header 2026-08-04 17:08:59 -04:00
Owen aad26b9ae4 move the ai gateway to its own server 2026-08-04 17:08:59 -04:00
Owen 80dcdfe251 change override to work for bother badger and ai gateway 2026-08-04 17:08:59 -04:00
miloschwartz 1696fc37a8 dont set port restrictions for inference 2026-08-04 17:04:29 -04:00
miloschwartz 7759d87835 add basic ui for private inference resource 2026-08-04 16:54:23 -04:00
miloschwartz c085de1e9e Merge branch 'aig' of https://github.com/fosrl/pangolin into aig
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-08-04 15:56:27 -04:00
miloschwartz e38359c74f add crud for adding providers and models to resources 2026-08-04 15:54:24 -04:00
Owen 2cfd7e867b delete the client peers from the exit nodes properly 2026-08-04 15:46:22 -04:00
Owen ec5a2b0cbe add peers to exit node 2026-08-04 15:46:22 -04:00
Owen 2bf426bc22 dont restrict to enterprise and dont link with providers yet 2026-08-04 15:46:21 -04:00
miloschwartz ed8545f8a2 update schema to support models and provider access on inferences resources and add budgets 2026-08-04 14:50:07 -04:00
Owen 9811492a0b send the aliases when connecting for the first time 2026-08-04 14:23:25 -04:00
Owen 973925b35d allow creating basic inference resource 2026-08-04 14:22:36 -04:00
Owen 0b30cfc341 Working on inference resource management 2026-08-04 11:48:36 -04:00
Owen a7e44944fb Use ip to find user 2026-08-04 10:43:49 -04:00
Owen 9b25ebd6cd remove token fallback 2026-08-04 10:19:22 -04:00
miloschwartz 33b775e263 clean up providers ui 2026-08-04 10:15:49 -04:00
miloschwartz b0edc6302e providers table, create, and edit first pass 2026-08-04 10:15:49 -04:00
Owen 1a644b131d Pull the session cookie properly 2026-08-04 10:15:49 -04:00
Owen f7689b7a5a Endpoints to update models on the resource 2026-08-04 10:15:49 -04:00
Owen 1073011a2a first pass of traefik -> basic gateway 2026-08-04 10:15:49 -04:00
miloschwartz 6fa0009ebf add targets and refactor endpoints 2026-08-04 10:15:49 -04:00
Owen 42c0abedb7 Add basic page to configure the alias 2026-08-04 10:15:48 -04:00
Owen 56e59a93f3 Handle the alias create and update special case exit nodes 2026-08-04 10:15:48 -04:00
Owen 9d581f3897 Fix types 2026-08-04 10:15:48 -04:00
miloschwartz e5ac6ec7cd add default providers and support overrides 2026-08-04 10:15:48 -04:00
miloschwartz 694fe98131 add crud for providers and models 2026-08-04 10:15:48 -04:00
miloschwartz 730078597e add basic schema 2026-08-04 10:15:48 -04:00
Owen 32ac8db803 Handle aliases when registering 2026-08-04 10:15:48 -04:00
Owen aad2ed2719 Get exit node every time 2026-08-04 10:15:48 -04:00
Owen a790fed297 sync the exit node connection 2026-08-04 10:15:48 -04:00
Owen deb2d5ce2a Update site resources to handle new inference 2026-08-04 10:15:48 -04:00
Owen 093097c619 send if we need to connect to the gerbil or not 2026-08-04 10:15:48 -04:00
Owen 2cdeb7c104 Add inference resource type 2026-08-04 10:15:47 -04:00
Owen 4dbb04bfb8 Handle the ping exit node request backward mode for olm and install handler 2026-08-04 10:15:47 -04:00
Owen fa8b921635 Fix postgres schema exit node subnet 2026-08-04 10:15:47 -04:00
Owen 33dd10c670 Rename subnet for clarity, pick subnet on client 2026-08-04 10:15:47 -04:00
Owen ba24e1c4f5 Add exit node selection to the clients 2026-08-04 10:15:47 -04:00
284 changed files with 41178 additions and 1337 deletions
+31
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@@ -0,0 +1,31 @@
---
name: crud-endpoints
description: Use whenever asked to add, create, or scaffold a CRUD endpoint, router, or entity in this repo's server (create/list/get/update/delete handlers, new `server/routers/<entity>/` or `server/private/routers/<entity>/` folder). Points to the established file layout, middleware, ActionsEnum, and route-registration conventions before writing any code.
---
Before writing any router/handler/middleware code for a new entity, read
`docs/crud-endpoints.md` in full. It documents, with real examples from
`server/routers/aiProvider/` (public) and `server/private/routers/alertRule/`
(enterprise-only), how this repo structures CRUD endpoints:
- Directory/file layout per entity (`index.ts`, `types.ts`, `validation.ts`,
one file per operation).
- The standard handler anatomy (zod parsing, OpenAPI registry, response
envelope, error handling).
- Where access-control middleware (`verify<Entity>Access`) lives and when
it's needed vs. plain `verifyOrgAccess`.
- How to wire up `ActionsEnum` entries, `verifyUserHasAction`, and
`logActionAudit`.
- Which of the four router files (`server/routers/external.ts`,
`server/routers/internal.ts`, `server/private/routers/external.ts`,
`server/private/routers/internal.ts`) to register routes in, and the
middleware chain template per HTTP verb.
- The repo's non-standard verb convention: **`PUT` = create, `POST` =
update** (backwards from typical REST) — don't "fix" this to standard
REST verbs, match the existing convention.
- The `#dynamic` import alias, for the rare case of a hook needing different
implementations in OSS vs. enterprise builds.
Follow that doc's checklist (§8) step by step rather than improvising a
structure. If the doc and the actual code in `aiProvider`/`alertRule` ever
disagree, trust the code and flag the doc as stale.
+4 -4
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@@ -1,5 +1,5 @@
# FROM node:24-slim AS base
FROM public.ecr.aws/docker/library/node:24-slim AS base
# FROM node:24.18.1-slim AS base
FROM public.ecr.aws/docker/library/node:24.18.1-slim AS base
WORKDIR /app
@@ -32,8 +32,8 @@ FROM base AS builder
RUN npm ci --omit=dev
# FROM node:24-slim AS runner
FROM public.ecr.aws/docker/library/node:24-slim AS runner
# FROM node:24.18.1-slim AS runner
FROM public.ecr.aws/docker/library/node:24.18.1-slim AS runner
WORKDIR /app
+1 -1
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@@ -1,4 +1,4 @@
FROM node:24-alpine
FROM node:24.18.1-alpine
WORKDIR /app
+101 -1
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@@ -1,5 +1,5 @@
import { CommandModule } from "yargs";
import { db, idpOidcConfig, licenseKey, certificates, eventStreamingDestinations, alertWebhookActions } from "@server/db";
import { db, idpOidcConfig, licenseKey, certificates, eventStreamingDestinations, alertWebhookActions, aiProviders, virtualApiKeys } from "@server/db";
import { encrypt, decrypt } from "@server/lib/crypto";
import { configFilePath1, configFilePath2 } from "@server/lib/consts";
import { eq } from "drizzle-orm";
@@ -132,12 +132,16 @@ export const rotateServerSecret: CommandModule<
const certs = await db.select().from(certificates);
const streamingDestinations = await db.select().from(eventStreamingDestinations);
const webhookActions = await db.select().from(alertWebhookActions);
const providers = await db.select().from(aiProviders);
const virtualKeys = await db.select().from(virtualApiKeys);
console.log(`Found ${idpConfigs.length} OIDC IdP configuration(s)`);
console.log(`Found ${licenseKeys.length} license key(s)`);
console.log(`Found ${certs.length} certificate(s)`);
console.log(`Found ${streamingDestinations.length} event streaming destination(s)`);
console.log(`Found ${webhookActions.length} alert webhook action(s)`);
console.log(`Found ${providers.length} AI provider(s)`);
console.log(`Found ${virtualKeys.length} virtual API key(s)`);
// Prepare all decrypted and re-encrypted values
console.log("\nDecrypting and re-encrypting values...");
@@ -171,11 +175,24 @@ export const rotateServerSecret: CommandModule<
encryptedConfig: string;
};
type AiProviderUpdate = {
providerId: number;
encryptedApiKey: string | null;
encryptedHeaders: string | null;
};
type VirtualApiKeyUpdate = {
virtualApiKeyId: string;
encryptedToken: string;
};
const idpUpdates: IdpUpdate[] = [];
const licenseKeyUpdates: LicenseKeyUpdate[] = [];
const certUpdates: CertUpdate[] = [];
const streamingDestinationUpdates: StreamingDestinationUpdate[] = [];
const webhookActionUpdates: WebhookActionUpdate[] = [];
const aiProviderUpdates: AiProviderUpdate[] = [];
const virtualApiKeyUpdates: VirtualApiKeyUpdate[] = [];
// Process idpOidcConfig entries
for (const idpConfig of idpConfigs) {
@@ -306,6 +323,60 @@ export const rotateServerSecret: CommandModule<
}
}
// Process aiProviders entries (apiKey + headers)
for (const provider of providers) {
try {
if (!provider.apiKey && !provider.headers) {
continue;
}
const encryptedApiKey = provider.apiKey
? encrypt(decrypt(provider.apiKey, oldSecret), newSecret)
: null;
const encryptedHeaders = provider.headers
? encrypt(
decrypt(provider.headers, oldSecret),
newSecret
)
: null;
aiProviderUpdates.push({
providerId: provider.providerId,
encryptedApiKey,
encryptedHeaders
});
} catch (error) {
console.error(
`Error processing AI provider ${provider.providerId}:`,
error
);
throw error;
}
}
// Process virtualApiKeys entries (token)
for (const key of virtualKeys) {
try {
if (!key.token) {
continue;
}
virtualApiKeyUpdates.push({
virtualApiKeyId: key.virtualApiKeyId,
encryptedToken: encrypt(
decrypt(key.token, oldSecret),
newSecret
)
});
} catch (error) {
console.error(
`Error processing virtual API key ${key.virtualApiKeyId}:`,
error
);
throw error;
}
}
// Perform all database updates in a single transaction
console.log("\nUpdating database in transaction...");
await db.transaction(async (trx) => {
@@ -376,6 +447,32 @@ export const rotateServerSecret: CommandModule<
)
);
}
// Update AI provider entries
for (const update of aiProviderUpdates) {
await trx
.update(aiProviders)
.set({
apiKey: update.encryptedApiKey,
headers: update.encryptedHeaders
})
.where(eq(aiProviders.providerId, update.providerId));
}
// Update virtual API key entries
for (const update of virtualApiKeyUpdates) {
await trx
.update(virtualApiKeys)
.set({
token: update.encryptedToken
})
.where(
eq(
virtualApiKeys.virtualApiKeyId,
update.virtualApiKeyId
)
);
}
});
console.log(`Rotated ${idpUpdates.length} OIDC IdP configuration(s)`);
@@ -383,6 +480,8 @@ export const rotateServerSecret: CommandModule<
console.log(`Rotated ${certUpdates.length} certificate(s)`);
console.log(`Rotated ${streamingDestinationUpdates.length} event streaming destination(s)`);
console.log(`Rotated ${webhookActionUpdates.length} alert webhook action(s)`);
console.log(`Rotated ${aiProviderUpdates.length} AI provider(s)`);
console.log(`Rotated ${virtualApiKeyUpdates.length} virtual API key(s)`);
// Update config file with new secret
console.log("\nUpdating config file...");
@@ -402,6 +501,7 @@ export const rotateServerSecret: CommandModule<
console.log(` - Certificates: ${certUpdates.length}`);
console.log(` - Event streaming destinations: ${streamingDestinationUpdates.length}`);
console.log(` - Alert webhook actions: ${webhookActionUpdates.length}`);
console.log(` - AI providers: ${aiProviderUpdates.length}`);
console.log(
`\n IMPORTANT: Restart the server for the new secret to take effect.`
);
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# AI Gateway Provider Selection
How the AI gateway picks which attached provider handles a request when an
inference resource has more than one AI provider.
**Code:**
- Route → capability binding: `server/routers/aiGateway/createAiGatewayRouter.ts`
- Request pipeline: `server/routers/aiGateway/pipeline.ts` (`selectProvider`)
- Tie-break scoring: `server/lib/aiProviderSelection.ts`
- Allow/block matching: `server/lib/aiModelKeyMatch.ts`
- Model catalog: `server/lib/aiModelCatalog.ts`
- Default capabilities per provider type: `server/lib/aiProviderDefaults.ts`
Overlapping model allows are permitted at save time. Selection happens at
request time. If the algorithm cannot confidently pick one provider, the
gateway returns `403` with an ambiguous-provider error.
## Selection Pipeline
Every gateway request runs through these steps in order. Each step narrows
the candidate set. Later steps only run when more than one provider remains.
```
1. Capability filter
2. Allow / block lists
3. Most specific allow pattern
4. Catalog ownership
5. Provider class preference
6. Ambiguous → error
```
### 1. Capability Filter
The incoming path selects a capability before any provider logic runs.
| Path | Capability |
|------|------------|
| `POST /v1/chat/completions` | `openai_chat` |
| `POST /v1/responses` | `openai_responses` |
| `POST /v1/messages` | `anthropic_messages` |
| Gemini / Vertex / Bedrock routes | their respective capability ids |
Only attached providers that advertise that capability stay in the candidate
set. Default capabilities do not overlap for native OpenAI vs Anthropic:
| Provider type | Default capabilities |
|---------------|----------------------|
| `openai` | `openai_chat`, `openai_responses` |
| `anthropic` | `anthropic_messages` |
| `openRouter` | `openai_chat` |
| `vercelAiGateway` | `openai_chat`, `openai_responses` |
| `microsoftFoundry` | `openai_chat`, `openai_responses`, `anthropic_messages` |
| `custom` | whatever was configured |
### 2. Allow / Block Lists
For each remaining provider, the gateway resolves the effective allow and
block patterns:
- **`inherit`**: use the provider's own model lists
- **`select`**: use the resource-selected subset of those lists
A candidate is kept only if `isAllowedByLists(requestedModel, allows, blocks)`
passes:
1. At least one allow pattern must match
2. No block pattern may match
Patterns support `*` and `?` globs (`gpt-*`, `claude-3-5-sonnet-?`).
### 3. Most Specific Allow Pattern
Among providers that allow the model, keep those whose matching allow
pattern is most specific:
1. Exact keys beat patterns
2. Fewer wildcard characters win
3. Longer literal length wins
Example: `gpt-4o` beats `gpt-*` beats `*`.
### 4. Catalog Ownership
When specificity is tied (common with multiple `*` allows), score each
provider against the known model catalog:
| Score | Meaning |
|------:|---------|
| 2 | Typed provider whose catalog contains the model (`openai` → openai catalog, `anthropic` → anthropic, etc.) |
| 1 | Aggregator or custom (`openRouter`, `vercelAiGateway`, `custom`) and the model exists somewhere in the catalog |
| 0 | No ownership signal (typed catalog miss, or unknown model on aggregator/custom) |
Model id lookup tries the raw id, then a stripped `vendor/model` form
(e.g. `openai/gpt-4o` → also try `gpt-4o`).
Typed providers map to catalog providers as:
| Provider type | Catalog |
|---------------|---------|
| `openai` | `openai` |
| `anthropic` | `anthropic` |
| `googleGemini` | `gemini` |
| `vertexAi` | `vertex` |
| `bedrock` | `bedrock` |
| `microsoftFoundry` | `azure` |
| `openRouter` / `vercelAiGateway` / `custom` | none (aggregator/custom path) |
### 5. Provider Class Preference
If catalog ownership is still tied, prefer:
| Rank | Class |
|-----:|-------|
| 2 | Native typed provider (`openai`, `anthropic`, `googleGemini`, …) |
| 1 | Aggregator (`openRouter`, `vercelAiGateway`) |
| 0 | `custom` |
### 6. Ambiguous Error
If more than one distinct provider remains after all steps, the gateway
rejects the request:
```
Model "<id>" is ambiguous across multiple AI providers on this resource
```
Typical remaining ties: two OpenAI-type providers both with `*`, or two
customs advertising the same capability for an unknown model.
## Examples
Assume each provider below is attached and enabled on the same inference
resource.
### Example A: OpenAI + Anthropic, Both `*`
| Provider | Allow | Capabilities |
|----------|-------|--------------|
| OpenAI | `*` | `openai_chat`, `openai_responses` |
| Anthropic | `*` | `anthropic_messages` |
**Request:** `POST /v1/chat/completions` with `model: "gpt-4o"`
1. Capability → only OpenAI remains
2. Allow → OpenAI matches `*`
3. Result → **OpenAI**
Anthropic never reaches pattern or catalog scoring. Capability alone decides.
**Request:** `POST /v1/messages` with `model: "claude-3-5-sonnet-latest"`
1. Capability → only Anthropic remains
2. Result → **Anthropic**
### Example B: OpenAI + OpenRouter, Both `*`
| Provider | Allow | Capabilities |
|----------|-------|--------------|
| OpenAI | `*` | `openai_chat`, … |
| OpenRouter | `*` | `openai_chat` |
**Request:** `POST /v1/chat/completions` with `model: "gpt-4o"`
1. Capability → both remain (`openai_chat`)
2. Allow → both match `*`
3. Specificity → tie (`*` vs `*`)
4. Catalog → OpenAI scores `2` (owns `gpt-4o`); OpenRouter scores `1`
5. Result → **OpenAI**
### Example C: OpenRouter Only Serving a Claude Model Over OpenAI Chat
| Provider | Allow | Capabilities |
|----------|-------|--------------|
| OpenRouter | `*` | `openai_chat` |
**Request:** `POST /v1/chat/completions` with `model: "anthropic/claude-3.5-sonnet"`
1. Capability → OpenRouter remains
2. Only one candidate → **OpenRouter**
No tie-breaking needed.
### Example D: OpenAI (`gpt-*`) + OpenRouter (`*`)
| Provider | Allow |
|----------|-------|
| OpenAI | `gpt-*` |
| OpenRouter | `*` |
**Request:** `model: "gpt-4o"` on `openai_chat`
1. Capability → both
2. Allow → both match
3. Specificity → OpenAI's `gpt-*` beats OpenRouter's `*`
4. Result → **OpenAI**
Catalog scoring is not needed because specificity already unique'd the set.
### Example E: OpenAI + Anthropic With Overlapping Custom Capabilities
Someone grants Anthropic `openai_chat` as well (non-default).
| Provider | Allow | Capabilities |
|----------|-------|--------------|
| OpenAI | `*` | `openai_chat`, … |
| Anthropic | `*` | `anthropic_messages`, `openai_chat` |
**Request:** `POST /v1/chat/completions` with `model: "gpt-4o"`
1. Capability → both remain
2. Allow → both match `*`
3. Specificity → tie
4. Catalog → OpenAI `2`, Anthropic `0` (`gpt-4o` is not in the anthropic catalog)
5. Result → **OpenAI**
### Example F: Two Aggregators, Known Model
| Provider | Allow |
|----------|-------|
| OpenRouter | `*` |
| Vercel AI Gateway | `*` |
**Request:** `model: "gpt-4o"` on `openai_chat`
1. Capability → both
2. Allow / specificity → tie
3. Catalog → both score `1` (known model, no typed owner in the set)
4. Class → both aggregators (rank `1`) → still tied
5. Result → **ambiguous error**
Attach a native OpenAI provider (or narrow one aggregator's allow list) to
make this determinable.
### Example G: Two OpenAI Providers, Both `*`
| Provider | Type | Allow |
|----------|------|-------|
| OpenAI Prod | `openai` | `*` |
| OpenAI Staging | `openai` | `*` |
**Request:** `model: "gpt-4o"`
15 all leave both candidates (same capability, same specificity, same
catalog ownership, same class).
Result → **ambiguous error**
Disambiguate with different allow patterns, disable one attachment, or
split across resources.
### Example H: Unknown Model Across Native + Aggregator
| Provider | Allow |
|----------|-------|
| OpenAI | `*` |
| OpenRouter | `*` |
**Request:** `model: "my-fine-tune-v3"` (not in catalog)
1. Capability → both
2. Allow / specificity → tie
3. Catalog → both score `0` (typed miss + unknown aggregator model)
4. Class → OpenAI (`2`) beats OpenRouter (`1`)
5. Result → **OpenAI**
## Practical Guidance
- Native OpenAI + Anthropic with `*` is safe. Different default APIs never
collide.
- OpenAI + OpenRouter with `*` is usually fine for catalog-known OpenAI
models. Native wins.
- Prefer specific allow patterns (`gpt-4o`, `gpt-*`) when two providers share
a capability.
- Two providers of the same type both using `*` will stay ambiguous. Narrow
at least one allow list.
- Custom providers only win ties when no stronger native/aggregator signal
remains.
## Related Behavior
- **Saving providers on a resource does not reject overlapping allows.**
Collisions are resolved (or rejected) per request.
- Budgets, auth, and upstream URL / target routing run after a single
provider has been selected.
+347
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@@ -0,0 +1,347 @@
# How to build a CRUD endpoint in this repo
Reference for adding a new CRUD entity to the server. Based on two real
examples already in the codebase — read them side by side with this doc:
- **Public / open-source (Community Edition) pattern**: `server/routers/aiProvider/`
- **Enterprise-only pattern**: `server/private/routers/alertRule/`
The two are structurally identical. The only difference is *where the files
live* and *which router they get wired into*.
## 1. Decide: public or private?
- `server/routers/<entity>/` — ships in the open-source Community Edition.
Anyone running Pangolin gets this.
- `server/private/routers/<entity>/` — Enterprise/SaaS only. Gated behind
`verifyValidLicense` (and often `verifyValidSubscription(tierMatrix.x)`).
Every file here starts with the Fossorial Commercial License header block
(copy it verbatim from an existing private file).
Everything below applies to both — swap `@server/...` for `#private/...`
import paths and add license headers when building the private version.
## 2. Directory layout
One folder per entity, one file per operation, a barrel `index.ts`:
```
server/routers/<entity>/
index.ts # export * from each operation file + ./types
types.ts # response payload types + row->public mapper
validation.ts # zod schemas/refinements shared by create + update (optional)
create<Entity>.ts
list<Entities>.ts
get<Entity>.ts
update<Entity>.ts
delete<Entity>.ts
```
`index.ts` is a flat barrel:
```ts
export * from "./createAiProvider";
export * from "./listAiProviders";
export * from "./getAiProvider";
export * from "./updateAiProvider";
export * from "./deleteAiProvider";
export * from "./types";
```
## 3. Anatomy of a single handler
Every handler file (`create<Entity>.ts`, etc.) follows the same shape:
```ts
import { Request, Response, NextFunction } from "express";
import { z } from "zod";
import { <table>, db } from "@server/db";
import response from "@server/lib/response";
import HttpCode from "@server/types/HttpCode";
import createHttpError from "http-errors";
import logger from "@server/logger";
import { fromError } from "zod-validation-error";
import { OpenAPITags, registry } from "@server/openApi";
import { eq } from "drizzle-orm";
import type { GetXResponse } from "@server/routers/<entity>/types";
const paramsSchema = z.strictObject({
orgId: z.string().nonempty() // or entityId: z.coerce.number().int().positive()
});
const bodySchema = z.strictObject({ /* ... */ }); // create/update only
registry.registerPath({
method: "get", // put | post | delete
path: "/org/{orgId}/x",
description: "...",
tags: [OpenAPITags.<Entity>],
request: { params: paramsSchema, /* body: {...} for write ops, query: for list */ },
responses: { 200: { description: "Successful response" } }
});
export async function getX(req: Request, res: Response, next: NextFunction): Promise<any> {
try {
const parsedParams = paramsSchema.safeParse(req.params);
if (!parsedParams.success) {
return next(createHttpError(HttpCode.BAD_REQUEST, fromError(parsedParams.error).toString()));
}
// parse body too, if present, same pattern
// ...business logic against db...
if (!row) {
return next(createHttpError(HttpCode.NOT_FOUND, `X with ID ${id} not found`));
}
return response<GetXResponse>(res, {
data: { /* ... */ },
success: true,
error: false,
message: "X retrieved successfully",
status: HttpCode.OK
});
} catch (error) {
logger.error(error);
return next(createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred"));
}
}
```
Rules to keep consistent with the rest of the codebase:
- `z.strictObject` for params/body — rejects unknown keys.
- Params parsed first, then body; each on its own `safeParse` + early
`next(createHttpError(...))` — never throw raw errors.
- Every handler registers itself with the OpenAPI `registry` even if nobody
reads the spec directly — it's how `/api/v1/docs` stays accurate.
- Catch-all `try/catch` at the bottom: `logger.error(error)` +
generic `500` message. Never leak internal error details to the client.
- Use `response<T>(res, { data, success, error, message, status })` from
`@server/lib/response` for every response, success or otherwise (errors go
through `next(createHttpError(...))` instead, not through `response`).
- If the route already ran an access-control middleware that fetched the row
(see §5), reuse it instead of re-querying:
`req.aiProvider && req.aiProvider.providerId === providerId ? [req.aiProvider] : await db.select()...`
### List handler specifics
Pagination is a fixed shape (`page`, `pageSize`, optional `query` for
search). See `listAiProviders.ts`:
```ts
const listSchema = z.object({
pageSize: z.coerce.number<string>().int().positive().optional().catch(20).default(20),
page: z.coerce.number<string>().int().min(0).optional().catch(1).default(1),
query: z.string().optional()
});
```
Run the count query and the page query in `Promise.all`, and return
`PaginatedResponse<{ items: T[] }>` (`@server/types/Pagination`) with
`{ total, pageSize, page }`.
### types.ts specifics
- Define one response type per operation: `List<Entities>Response`,
`Get<Entity>Response`, `CreateOrEdit<Entity>Response` (create and update
commonly share a response shape).
- If the raw DB row needs to be shaped for clients (decrypting secrets,
parsing a serialized column, hiding a column), put a `toPublic<Entity>()`
mapper here — see `toPublicAiProvider` for the pattern of stripping
`apiKey`/serialized columns and re-adding decrypted/parsed versions.
### validation.ts specifics
Only needed when create and update share non-trivial zod pieces (enums,
`superRefine` cross-field rules). Export the raw schemas (`z.enum([...])`)
and refinement functions, and import them into both `createX.ts` and
`updateX.ts` — see `aiProvider/validation.ts`'s
`refineProviderUpstreamFields`.
## 4. Wire up an access-control middleware (for id-scoped routes)
For routes scoped to a single row (`/x/:xId`, as opposed to
`/org/:orgId/x` create/list), add a `verify<Entity>Access` middleware in
`server/middlewares/` (or `server/private/middlewares/` for enterprise-only
entities) and export it from that directory's `index.ts`.
Pattern (`verifyAiProviderAccess.ts`):
1. Read the id param, `Number.parseInt`/validate it.
2. Load the row by id.
3. `404` if it doesn't exist.
4. Resolve the row's `orgId`, then check/attach `req.userOrg` (query
`userOrgs` if not already on the request), `403` if the user isn't in
that org.
5. Run `checkOrgAccessPolicy` if `req.orgPolicyAllowed` hasn't been resolved
yet.
6. Set `req.userOrgId`, `req.userOrgRoleIds`, and stash the row on the
request (e.g. `req.aiProvider = provider`) so downstream handlers and
`verifyUserHasAction` don't have to refetch it.
Org-scoped create/list routes (`/org/:orgId/x`) don't need a bespoke
middleware — they use the existing generic `verifyOrgAccess` from
`@server/middlewares`.
## 5. Register an action + permission check
Add one `ActionsEnum` entry per operation in `server/auth/actions.ts`,
grouped near the entity's other actions, named `create<Entity>`,
`get<Entity>`, `update<Entity>`, `delete<Entity>`, `list<Entities>`:
```ts
createAiProvider = "createAiProvider",
deleteAiProvider = "deleteAiProvider",
getAiProvider = "getAiProvider",
listAiProviders = "listAiProviders",
updateAiProvider = "updateAiProvider",
```
Every route uses `verifyUserHasAction(ActionsEnum.x)` to check the caller's
role/permissions for that action, and mutating routes (create/update/delete)
follow it with `logActionAudit(ActionsEnum.x)` to record the action in the
audit log.
## 6. Register the routes
There are four router files; which one(s) you touch depends on public vs.
private and user-facing vs. service-to-service:
| File | Purpose |
|---|---|
| `server/routers/external.ts` | Public, user-facing API. Exports `authenticated`, `unauthenticated`, `authRouter` Express routers. |
| `server/routers/internal.ts` | Public, internal service-to-service API (gerbil, badger, traefik-config) — no user auth, exports `internalRouter`. |
| `server/private/routers/external.ts` | Enterprise-only, user-facing. Imports `authenticated`/`unauthenticated`/`authRouter` **from the public `external.ts`** and re-exports them, then adds more routes on top. |
| `server/private/routers/internal.ts` | Enterprise-only, service-to-service. Same re-export trick with `internalRouter`. |
Private router files always start:
```ts
import {
unauthenticated as ua,
authenticated as a,
authRouter as aa
} from "@server/routers/external";
export const authenticated = a;
export const unauthenticated = ua;
export const authRouter = aa;
```
...and then call `authenticated.get/put/post/delete(...)` to bolt on
additional, enterprise-only routes on the *same* router instances the public
build uses. This is why the private build has strictly more routes than the
public build, not a divergent copy.
### Route registration order (mutating vs read)
Standard middleware chain per verb, using `alertRule`'s registrations as the
template:
```ts
// Create — org-scoped, no row exists yet
authenticated.put(
"/org/:orgId/x",
verifyValidLicense, // private/enterprise routes only
verifyOrgAccess,
verifyLimits, // if the entity counts against a plan limit
verifyUserHasAction(ActionsEnum.createX),
logActionAudit(ActionsEnum.createX),
x.createX
);
// Update — row-scoped
authenticated.post(
"/org/:orgId/x/:xId", // or "/x/:xId" if id is globally unique
verifyValidLicense,
verifyOrgAccess, // or verifyXAccess if globally-keyed
verifyUserHasAction(ActionsEnum.updateX),
logActionAudit(ActionsEnum.updateX),
x.updateX
);
// Delete — row-scoped
authenticated.delete(
"/org/:orgId/x/:xId",
verifyValidLicense,
verifyOrgAccess,
verifyUserHasAction(ActionsEnum.deleteX),
logActionAudit(ActionsEnum.deleteX),
x.deleteX
);
// List — org-scoped, read-only, no audit log
authenticated.get(
"/org/:orgId/xs",
verifyValidLicense,
verifyOrgAccess,
verifyUserHasAction(ActionsEnum.listXs),
x.listXs
);
// Get one — row-scoped, read-only, no audit log
authenticated.get(
"/org/:orgId/x/:xId",
verifyValidLicense,
verifyOrgAccess,
verifyUserHasAction(ActionsEnum.getX),
x.getX
);
```
Notes:
- HTTP verbs: `PUT` = create, `POST` = update, `GET` = read, `DELETE` =
delete. This repo does not use `PATCH` for entity updates (site
provisioning keys are the one exception, using `PATCH`).
- `verifyValidLicense` is only needed on private/enterprise routes; public
OSS routes skip it.
- Use `verifyValidSubscription(tierMatrix.someFeature)` right after
`verifyValidLicense` when a feature is gated to specific SaaS tiers (see
`tierMatrix` usages in `server/private/routers/external.ts`).
- `verifyLimits` goes on create routes for entities that count against a
plan/seat limit.
- For entities keyed by a globally-unique id (not nested under `/org/:orgId`),
use the dedicated `verify<Entity>Access` middleware from §4 instead of
`verifyOrgAccess` on the row-scoped routes (see how `/ai-provider/:providerId`
uses `verifyAiProviderAccess`, while `/org/:orgId/ai-provider` create/list
use plain `verifyOrgAccess`).
- Read-only routes (`get`, `list`) skip `logActionAudit` — only mutations are
audited.
- `internal*.ts` routes are for trusted internal callers (gerbil/badger
sidecars) and generally skip user-facing auth entirely, using
`verifySessionUserMiddleware` / `verifyUserFromResourceSessionMiddleware`
instead of `verifyOrgAccess`/`verifyUserHasAction`. CRUD entities almost
never need internal router entries — only add one if a sidecar process
needs direct access to the resource.
## 7. The `#dynamic` alias (advanced — most CRUD work can ignore this)
Some middleware (e.g. `logActionAudit`) needs a real implementation in the
enterprise/SaaS build but a no-op stub in the open-source build, while
being imported by identical code in `server/routers/external.ts` in both
builds. That's done via the `#dynamic/*` import alias, which
`tsconfig.oss.json` points at `./server/*` and `tsconfig.enterprise.json` /
`tsconfig.saas.json` point at `./server/private/*`. You only need this
pattern if you're adding a genuinely dual-implementation hook; a normal
private-only CRUD entity (like `alertRule`) never touches `#dynamic` — it
just lives entirely under `server/private/` and is imported with `#private/*`
directly from `server/private/routers/external.ts`.
## 8. Checklist for a new entity
1. Add the DB table to `server/db/pg/schema/schema.ts` (and sqlite schema if
applicable).
2. Add `ActionsEnum` entries in `server/auth/actions.ts`.
3. Create `server/routers/<entity>/` (or `server/private/routers/<entity>/`):
`types.ts`, optional `validation.ts`, one file per operation, `index.ts`
barrel.
4. If routes are row-scoped by a global id, add
`verify<Entity>Access.ts` to `server/middlewares/` or
`server/private/middlewares/`, and export it from that directory's
`index.ts`.
5. Wire routes into `external.ts` (public or private) following the verb/
middleware table in §6. Add to `internal.ts` only if a sidecar needs
direct access.
6. Add license header block to every new file if it's under `server/private/`.
+365 -1
View File
@@ -855,12 +855,16 @@
"authMethodsSave": "Save Settings",
"policyAuthStackTitle": "Authentication",
"policyAuthStackDescription": "Control which authentication methods are required to access this resource",
"policyAuthInferenceStackDescription": "Choose which users and roles can authenticate to this AI gateway",
"policyAuthOrLogicTitle": "Multiple authentication methods active",
"policyAuthOrLogicBanner": "Visitors may authenticate using any one of the active methods below. They do not need to complete all of them.",
"policyAuthMethodActive": "Active",
"policyAuthMethodOff": "Off",
"policyAuthSsoTitle": "Platform SSO",
"policyAuthSsoDescription": "Require sign-in through your organization's identity provider",
"policyAuthInferenceSsoDescription": "Selected users and roles can authenticate to the gateway using their identity API key",
"policyAuthInferenceIdentityKeyHelp": "Every user already has an identity API key, so you only need to create virtual API keys for non-user clients or shared access. Users can retrieve their key by signing in with their identity provider at <resourceLink></resourceLink>, where it will be shown after login.",
"policyAuthInferenceIdentityKeyHelpNoUrl": "Every user already has an identity API key, so you only need to create virtual API keys for non-user clients or shared access. Users can retrieve their key by signing in with their identity provider at this resource's URL, where it will be shown after login.",
"policyAuthSsoSummary": "{idp} · {users} users, {roles} roles",
"policyAuthSsoDefaultIdp": "Default provider",
"policyAuthAddDefaultIdentityProvider": "Add Default Identity Provider",
@@ -1079,6 +1083,8 @@
"accessRoleErrorNewRequired": "New role is required",
"accessRoleErrorRemove": "Failed to remove role",
"accessRoleErrorRemoveDescription": "An error occurred while removing the role.",
"accessRoleInferenceBudget": "Inference Budget",
"accessRoleInferenceBudgetDescription": "Configure how members of this role restrict AI usage based on spending or token limits",
"accessRoleName": "Role Name",
"accessRoleQuestionRemove": "You're about to delete the `{name}` role. You cannot undo this action.",
"accessRoleRemove": "Remove Role",
@@ -1424,6 +1430,21 @@
"actionDeleteSite": "Delete Site",
"actionGetSite": "Get Site",
"actionListSites": "List Sites",
"actionCreateAiProvider": "Create AI Provider",
"actionDeleteAiProvider": "Delete AI Provider",
"actionGetAiProvider": "Get AI Provider",
"actionListAiProviders": "List AI Providers",
"actionUpdateAiProvider": "Update AI Provider",
"actionCreateAiModel": "Create AI Model",
"actionDeleteAiModel": "Delete AI Model",
"actionGetAiModel": "Get AI Model",
"actionListAiModels": "List AI Models",
"actionUpdateAiModel": "Update AI Model",
"actionCreateVirtualApiKey": "Create Virtual API Key",
"actionDeleteVirtualApiKey": "Delete Virtual API Key",
"actionGetVirtualApiKey": "Get Virtual API Key",
"actionListVirtualApiKeys": "List Virtual API Keys",
"actionUpdateVirtualApiKey": "Update Virtual API Key",
"actionApplyBlueprint": "Apply Blueprint",
"actionListBlueprints": "List Blueprints",
"actionGetBlueprint": "Get Blueprint",
@@ -1449,8 +1470,11 @@
"actionSetResourcePincode": "Set Resource Pincode",
"actionSetResourceEmailWhitelist": "Set Resource Email Whitelist",
"actionGetResourceEmailWhitelist": "Get Resource Email Whitelist",
"actionListResourcePolicies": "List Resource Policies",
"actionCreateResourcePolicy": "Create Resource Policy",
"actionGetResourcePolicy": "Get Resource Policy",
"actionUpdateResourcePolicy": "Update Resource Policy",
"actionDeleteResourcePolicy": "Delete Resource Policy",
"actionSetResourcePolicyUsers": "Set Resource Policy Users",
"actionSetResourcePolicyRoles": "Set Resource Policy Roles",
"actionSetResourcePolicyPassword": "Set Resource Policy Password",
@@ -1622,6 +1646,298 @@
"sidebarInvitations": "Invitations",
"sidebarRoles": "Roles",
"sidebarShareableLinks": "Shareable Links",
"sidebarAiGateway": "AI Gateway",
"sidebarAiProviders": "Providers",
"commandAiProviders": "AI Providers",
"sidebarVirtualApiKeys": "Virtual API Keys",
"sidebarMyApiKeys": "Your API Keys",
"sidebarAccount": "Launcher",
"commandVirtualApiKeys": "Virtual API Keys",
"virtualApiKeysTitle": "Manage Virtual API Keys",
"virtualApiKeysDescription": "Create and manage manual API keys for AI Gateway access to public inference resources",
"virtualApiKeys": "Virtual API Keys",
"virtualApiKeysSearch": "Search keys...",
"virtualApiKeysCreate": "Create Virtual API Key",
"virtualApiKeysCreateDescription": "Mint a manual key that can call public inference resources in this organization",
"virtualApiKeysCreateButton": "Create Key",
"virtualApiKeysEmpty": "No virtual API keys yet",
"virtualApiKeysName": "Name",
"virtualApiKeysDescriptionOptional": "Description (optional)",
"virtualApiKeysAssociateUserOptional": "Associate User (optional)",
"virtualApiKeysAssociateUserDescription": "Associate this key with a user to track usage.",
"virtualApiKeysAllResources": "All public inference resources",
"virtualApiKeysAllResourcesDescription": "Allow this key to access every public inference resource in the organization",
"virtualApiKeysSelectResources": "Public Inference Resources",
"virtualApiKeysSelectResourcesPlaceholder": "Select resources",
"virtualApiKeysSelectResourcesDescription": "Choose which public inference resources this key can access",
"virtualApiKeysNoResources": "No resources",
"virtualApiKeysSecret": "Key",
"virtualApiKeysCopyKey": "Copy this key. You can view it again later from the table or when editing.",
"virtualApiKeysViewSecret": "View Secret",
"virtualApiKeysViewSecretTitle": "Virtual API Key Secret",
"virtualApiKeysViewSecretDescription": "This secret grants access to the public inference resources assigned to this key",
"virtualApiKeysEdit": "Edit Virtual API Key",
"virtualApiKeysEditDescription": "Update the associated user and public inference resource access for this key",
"virtualApiKeysSaveButton": "Save Changes",
"virtualApiKeysSelectResourcesRequired": "Select at least one public inference resource, or enable all public inference resources",
"virtualApiKeysUpdated": "Virtual API key updated",
"virtualApiKeysUpdatedDescription": "The virtual API key has been updated",
"virtualApiKeysErrorUpdate": "Error updating virtual API key",
"virtualApiKeysErrorUpdateDescription": "Failed to update virtual API key",
"virtualApiKeysErrorCreate": "Error creating virtual API key",
"virtualApiKeysErrorCreateDescription": "Failed to create virtual API key",
"virtualApiKeysErrorDelete": "Error deleting virtual API key",
"virtualApiKeysErrorDeleteMessage": "Failed to delete virtual API key",
"virtualApiKeysDeleted": "Virtual API key deleted",
"virtualApiKeysDeletedDescription": "The virtual API key has been deleted",
"virtualApiKeysDelete": "Delete Virtual API Key",
"virtualApiKeysDeleteConfirm": "Delete Key",
"virtualApiKeysQuestionRemove": "Are you sure you want to delete this virtual API key?",
"virtualApiKeysMessageRemove": "Clients using this key will lose access immediately.",
"virtualApiKeysErrorFetchSecret": "Error loading secret",
"virtualApiKeysErrorFetchSecretDescription": "Failed to load the virtual API key secret",
"virtualApiKeysFilterUnassigned": "Unassigned",
"myVirtualApiKeysTitle": "Your API Keys",
"myVirtualApiKeysDescription": "View your identity key and any virtual API keys attributed to you in this organization",
"myVirtualApiKeysResourceTitle": "Your API Keys for This Resource",
"myVirtualApiKeysResourceDescription": "View your identity key and virtual API keys attributed to you that can access this resource",
"myVirtualApiKeysIdentityTitle": "Identity Key",
"myVirtualApiKeysIdentityHeadline": "Your Personal API Key",
"myVirtualApiKeysIdentityDescription": "Your personal key for this organization. It is unique to your account and used to identify you when calling AI Gateway resources.",
"myVirtualApiKeysIdentityResourceHeadline": "Your Personal API Key for This Resource",
"myVirtualApiKeysIdentityResourceDescription": "Your personal key for this organization. Use it to call this AI Gateway resource.",
"myVirtualApiKeysManualTitle": "Attributed Keys",
"myVirtualApiKeysManualDescription": "Manual virtual API keys an admin associated with your account",
"myVirtualApiKeysManualResourceDescription": "Manual virtual API keys associated with your account that can access this resource",
"myVirtualApiKeysManualEmpty": "No attributed keys yet",
"myVirtualApiKeysKindUser": "Identity",
"myVirtualApiKeysKindManual": "Manual",
"myVirtualApiKeysUnnamed": "Unnamed key",
"myVirtualApiKeysRevealSecret": "Reveal Secret",
"myVirtualApiKeysViewSecretDescription": "This secret authenticates you to AI Gateway resources",
"aiProvidersTitle": "AI Providers",
"aiProvidersDescription": "Connect model providers for AI workloads in this organization",
"aiProvidersAdd": "Add Provider",
"aiProvidersSearch": "Search providers...",
"aiProvidersEmpty": "No AI providers yet",
"aiProviderCreate": "Create AI Provider",
"aiProviderCreateDescription": "Add a model provider for this organization",
"aiProviderSeeAll": "See All Providers",
"aiProviderSetting": "Provider Settings for {providerName}",
"aiProviderSettingDescription": "Configure this AI provider",
"aiProviderGeneral": "General",
"aiProviderGeneralDescription": "Basic settings for this provider",
"aiProviderConfiguration": "Configuration",
"aiProviderConfigurationDescription": "Network routing and authentication for this provider",
"aiProviderNetworkSettings": "Network Settings",
"aiProviderNetworkSettingsDescription": "Choose how traffic reaches this provider",
"aiProviderAuthSettings": "Authentication",
"aiProviderAuthSettingsDescription": "Configure how this provider authenticates requests to its upstream URL",
"aiProviderBudgetSettings": "Budget",
"aiProviderBudgetSettingsDescription": "Configure how this provider restricts usage based on spending or token limits",
"aiBudgetAdd": "Add Budget",
"aiBudgetEmpty": "No budgets configured yet. Click Add Budget to set a spending or token limit.",
"aiBudgetUnit": "Spend Type",
"aiBudgetPeriod": "Reset Period",
"aiBudgetAmount": "Maximum Spend",
"aiBudgetAmountPlaceholder": "Maximum spend",
"aiBudgetPeriodHourly": "Hourly",
"aiBudgetPeriodDaily": "Daily",
"aiBudgetPeriodWeekly": "Weekly",
"aiBudgetPeriodMonthly": "Monthly",
"aiBudgetPeriodYearly": "Yearly",
"aiBudgetPeriodLifetime": "Lifetime",
"aiBudgetUnitUsd": "USD",
"aiBudgetUnitTokens": "Tokens",
"aiBudgetConflictError": "A budget for this reset period and spend type already exists",
"aiBudgetInvalidAmountError": "Enter a maximum spend greater than 0",
"aiBudgetUpdated": "Budgets updated",
"aiBudgetErrorSave": "Failed to update budgets",
"aiProviderType": "Provider Type",
"aiProviderTypeSearch": "Search providers...",
"aiProviderTypeNotFound": "No provider type found",
"aiProviderTypeOpenai": "OpenAI",
"aiProviderTypeAnthropic": "Anthropic",
"aiProviderTypeGoogleGemini": "Google Gemini",
"aiProviderTypeVertexAi": "Vertex AI",
"aiProviderTypeBedrock": "Amazon Bedrock",
"aiProviderTypeMicrosoftFoundry": "Microsoft Foundry",
"aiProviderTypeOpenRouter": "OpenRouter",
"aiProviderTypeVercelAiGateway": "Vercel AI Gateway",
"aiProviderTypeCustom": "Custom",
"aiProviderTypeOpenaiDescription": "OpenAI API with default upstream URL",
"aiProviderTypeAnthropicDescription": "Anthropic API with default upstream URL",
"aiProviderTypeGoogleGeminiDescription": "Google Gemini generateContent API",
"aiProviderTypeVertexAiDescription": "Google Vertex AI; upstream URL required",
"aiProviderTypeBedrockDescription": "Amazon Bedrock Runtime",
"aiProviderTypeMicrosoftFoundryDescription": "Microsoft Foundry; upstream URL required",
"aiProviderTypeOpenRouterDescription": "OpenRouter API",
"aiProviderTypeVercelAiGatewayDescription": "Vercel AI Gateway",
"aiProviderTypeCustomDescription": "Bring your own OpenAI-compatible endpoint or route via Pangolin targets",
"aiProviderUpstreamUrl": "Upstream URL",
"aiProviderUpstreamUrlDescription": "Base URL for the provider API",
"aiProviderUpstreamUrlOptionalDescription": "Leave blank to use the default upstream URL for this provider",
"aiProviderEffectiveUpstreamUrl": "Effective Upstream URL",
"aiProviderApiKey": "API Key",
"aiProviderApiKeyDescription": "API key used to authenticate requests to this provider",
"aiProviderCustomHeadersDescription": "Headers sent on every request to this provider. Newline separated: Header-Name: value",
"aiProviderApiKeyLastChars": "API Key",
"aiProviderAuthType": "Auth Type",
"aiProviderAuthTypeSearch": "Search auth types...",
"aiProviderAuthTypeNotFound": "No auth type found",
"aiProviderAuthTypeBearer": "Bearer",
"aiProviderAuthTypeBearerDescription": "Authorization: Bearer key. Used by OpenAI and most providers",
"aiProviderAuthTypeXApiKey": "x-api-key",
"aiProviderAuthTypeXApiKeyDescription": "x-api-key header. Used by Anthropic",
"aiProviderAuthTypeXGoogApiKey": "x-goog-api-key",
"aiProviderAuthTypeXGoogApiKeyDescription": "x-goog-api-key header. Used by Google Gemini",
"aiProviderAuthTypeHec": "Splunk HEC",
"aiProviderAuthTypeHecDescription": "Authorization: Splunk key. Used by Splunk HTTP Event Collector",
"aiProviderAuthTypeCfAigAuthorization": "Cloudflare AI Gateway",
"aiProviderAuthTypeCfAigAuthorizationDescription": "cf-aig-authorization: Bearer key. Used by Cloudflare AI Gateway",
"aiProviderAuthTypeNone": "No Auth",
"aiProviderAuthTypePassthrough": "Passthrough",
"aiProviderAuthTypeDescription": "How the upstream API authenticates requests",
"aiProviderAuthTypePassthroughDescription": "Forward the caller's API key headers to the upstream",
"aiProviderAuthTypeNoneDescription": "Do not send authentication headers to the upstream",
"aiProviderRoutingMode": "Routing Mode",
"aiProviderRoutingModeDescription": "Send traffic to an upstream URL or to HTTP targets on your sites",
"aiProviderRoutingModeUrl": "Upstream URL",
"aiProviderRoutingModeUrlDescription": "Call a public or private API base URL",
"aiProviderRoutingModeTarget": "Site Targets",
"aiProviderRoutingModeTargetDescription": "Route through targets on your sites",
"aiProviderRoutingModeTargetNote": "After creating this provider, configure site targets on the Network Settings tab.",
"aiProviderTargetNoOne": "This provider doesn't have any targets. Add a target to route requests through your sites.",
"aiProviderSkipTlsVerification": "Skip TLS Verification",
"aiProviderSkipTlsVerificationDescription": "Disable TLS certificate verification for the upstream connection",
"aiProviderBudget": "Budget",
"aiProviderBudgetDescription": "Optional spending or token budget for this provider",
"aiProviderBudgetAmount": "Budget Amount",
"aiProviderBudgetUnit": "Budget Unit",
"aiProviderBudgetUnitUsd": "USD",
"aiProviderBudgetUnitTokens": "Tokens",
"aiProviderEnabled": "Enabled",
"aiProviderEnabledDescription": "Disable to stop using this provider without deleting it",
"aiProviderErrorCreate": "Failed to create AI provider",
"aiProviderErrorUpdate": "Failed to update AI provider",
"aiProviderErrorDelete": "Failed to delete AI provider",
"aiProviderErrorLoad": "Failed to load AI provider",
"aiProviderErrorUpstreamUrlInvalid": "Enter a valid upstream URL",
"aiProviderErrorUpstreamUrlRequired": "Upstream URL is required for this provider",
"aiProviderErrorAuthTypeRequired": "Auth type is required",
"aiProviderErrorApiKeyRequired": "API key is required",
"aiProviderErrorRoutingModeTarget": "Site targets routing is only available for custom providers",
"aiProviderErrorCapabilitiesRequired": "Select at least one API capability",
"aiProviderCapabilities": "API Capabilities",
"aiProviderCapabilitiesDescription": "Select which API formats this provider can handle. Known providers start with recommended defaults.",
"aiProviderCapabilitiesCustomDescription": "Select which API formats this custom provider can handle",
"aiProviderCapabilitiesSelect": "Select capabilities",
"aiProviderCapabilitiesEmpty": "No capabilities found",
"aiProviderCapabilitiesSearch": "Search capabilities...",
"aiCapabilityOpenaiChat": "OpenAI Chat Completions",
"aiCapabilityOpenaiChatDescription": "Supports /v1/chat/completions",
"aiCapabilityOpenaiResponses": "OpenAI Responses",
"aiCapabilityOpenaiResponsesDescription": "Supports /v1/responses",
"aiCapabilityAnthropicMessages": "Anthropic Messages",
"aiCapabilityAnthropicMessagesDescription": "Supports /v1/messages",
"aiCapabilityGeminiGenerateContent": "Gemini Generate Content",
"aiCapabilityGeminiGenerateContentDescription": "Supports the direct Gemini API",
"aiCapabilityBedrockModelInvoke": "Bedrock Model Invoke",
"aiCapabilityBedrockModelInvokeDescription": "Supports Amazon Bedrock InvokeModel",
"aiCapabilityGoogleGenerateContent": "Vertex Generate Content",
"aiCapabilityGoogleGenerateContentDescription": "Supports Vertex AI Gemini format",
"aiCapabilityGoogleRawPredict": "Vertex Raw Predict",
"aiCapabilityGoogleRawPredictDescription": "Supports Vertex AI rawPredict for Anthropic models",
"aiCapabilityBedrockConverse": "Bedrock Converse",
"aiCapabilityBedrockConverseDescription": "Supports Amazon Bedrock Converse API",
"aiProviderCreated": "AI provider created",
"aiProviderUpdated": "AI provider updated",
"aiProviderDeleted": "AI provider deleted",
"aiProviderDelete": "Delete Provider",
"aiProviderDeleteConfirm": "Delete Provider",
"aiProviderQuestionRemove": "Are you sure you want to delete this AI provider?",
"aiProviderMessageRemove": "This will permanently delete the provider and its models and targets. This cannot be undone.",
"aiProviderErrorNoUpdate": "AI provider is not available to update",
"aiProviderModels": "Models",
"aiProviderModelsDescription": "Define allow and block lists for this provider. Requests must match an allow entry and must not match a block entry.",
"aiProviderModelsPlaceholder": "Search models or type a custom key",
"aiProviderModelsAllow": "Allow List",
"aiProviderModelsAllowDescription": "Models that may be used through this provider. Empty means deny all.",
"aiProviderModelsAllowPlaceholder": "Enter model key",
"aiProviderModelsAllowEmpty": "No models allowed. All requests will be denied.",
"aiProviderModelsBlock": "Block List",
"aiProviderModelsBlockDescription": "Models to deny even if they match an allow entry.",
"aiProviderModelsBlockPlaceholder": "Enter model key",
"aiProviderModelsBlockEmpty": "No blocked models.",
"aiProviderModelsAdd": "Add Models",
"aiProviderModelsClearAll": "Clear All",
"aiProviderModelsAddCustom": "Add \"{key}\"",
"aiProviderModelsAddCustomHint": "Press Enter to add this custom model key.",
"aiProviderModelsAddBulk": "Add {count} custom keys",
"aiProviderModelsAddBulkHint": "Press Enter to add {count} custom keys.",
"aiProviderModelsAddOne": "Add {key} now",
"aiProviderModelsAddSelected": "Add Selected",
"aiProviderModelsSelectedCount": "{count} selected",
"aiProviderModelsSelectAll": "Select all",
"aiProviderModelsClearSelected": "Clear",
"aiProviderModelsBulkHint": "Select known models or type a custom key.",
"aiProviderModelsCatalogEmpty": "No matching catalog models.",
"aiProviderModelsCatalogHeading": "Known Models",
"aiProviderModelsAllLabel": "All models",
"aiProviderModelsAllPatternHint": "Wildcard: *",
"aiProviderModelsAddAllAllow": "Allow all models",
"aiProviderModelsAddAllBlock": "Block all models",
"aiProviderModelsAddAllDescription": "Uses the * wildcard so every model key matches.",
"aiProviderModelsViewMore": "View more ({count})",
"aiProviderModelsViewLess": "View less",
"aiProviderModelsRemove": "Remove model",
"aiProviderModelsEditHint": "Click to edit model settings",
"aiProviderModelsSourceCatalog": "Known catalog model",
"aiProviderModelsSourceCustom": "Custom model key",
"aiProviderModelsSourcePattern": "Wildcard pattern",
"aiProviderModelsSourceAll": "Matches every model key",
"aiProviderModelsBudgetConfigured": "Budget configured",
"aiProviderModelsEditTitle": "Edit Model",
"aiProviderModelsEditDescription": "Update the model key or configure its inference budget.",
"aiProviderModelsBudgetTab": "Inference Budget",
"aiProviderModelsBudgetDescription": "Configure how this model restricts usage based on spending or token limits",
"aiProviderModelsBudgetUnsaved": "Save this model first to configure its inference budget.",
"aiProviderModelsKeyLabel": "Model Key",
"aiProviderModelsKeyRequired": "Enter a model key",
"aiProviderModelsKeyDuplicate": "This model key is already on a list",
"aiProviderModelsOverlapError": "These patterns cannot be on both lists: {keys}",
"aiProviderModelsUpdated": "Models updated",
"aiProviderModelsErrorUpdate": "Failed to update models",
"aiResourceProviders": "Providers",
"aiResourceProvidersDescription": "Choose which AI providers this inference resource can use",
"aiResourceProvidersHelp": "Attach providers and choose inherit (use each provider's lists) or select (pick an allow list for this resource). Allow patterns that conflict across attached providers are not allowed.",
"aiResourceProvidersSelect": "Select providers",
"aiResourceProvidersEmpty": "No AI providers found",
"aiResourceProvidersNoneAttached": "No providers attached yet.",
"aiResourceProvidersAdd": "Add provider",
"aiResourceProvidersRemove": "Remove provider",
"aiResourceProviderToggleEnabled": "Enable or disable this provider on the resource",
"aiResourceProviderDisabled": "Disabled",
"aiResourceProvidersUpdated": "Providers updated",
"aiResourceProvidersErrorUpdate": "Failed to update providers",
"aiResourceProviderEditDescription": "Choose how this provider's models are exposed on this resource.",
"viewProviderSettings": "View Provider Settings",
"aiResourceProviderMode": "Access mode",
"aiResourceProviderModeInherit": "Inherit",
"aiResourceProviderModeSelect": "Select",
"aiResourceProviderModeSelectSummary": "Select · {count} models",
"aiResourceProviderModeInheritHelp": "Use this provider's allow and block lists as configured on the provider.",
"aiResourceProviderModeSelectHelp": "Choose a subset of this provider's allow-list models for this resource.",
"aiResourceProviderAllowModels": "Allow list",
"aiResourceProviderAllowModelsSelect": "Select models",
"aiResourceProviderAllowModelsSearch": "Search models...",
"aiResourceProviderAllowModelsEmpty": "No models found",
"aiResourceProviderAllowModelsHelp": "Only models from this provider's allow list can be selected.",
"aiResourceAliasRequired": "Alias is required for inference resources",
"aiResourceDomainConfiguration": "Domain configuration",
"aiResourceDomainConfigurationDescription": "Choose the domain clients will use to reach this inference resource.",
"resourceBudgetSettings": "Budget",
"resourceBudgetSettingsDescription": "Configure how this inference resource restricts usage based on spending or token limits",
"sidebarApiKeys": "API Keys",
"sidebarProvisioning": "Provisioning",
"sidebarSettings": "Settings",
@@ -2193,6 +2509,8 @@
"subnetPlaceholder": "Subnet",
"addressDescription": "The internal address of the client. Must fall within the organization's subnet.",
"selectSites": "Select sites",
"selectResources": "Select resources",
"multiResourcesSelectorResourcesCount": "{count, plural, one {# resource} other {# resources}}",
"selectLabels": "Select labels",
"sitesDescription": "The client will have connectivity to the selected sites",
"clientInstallOlm": "Install Machine Client",
@@ -2246,6 +2564,7 @@
"requireDeviceApproval": "Require Device Approvals",
"requireDeviceApprovalDescription": "Users with this role need new devices approved by an admin before they can connect and access resources.",
"sshSettings": "SSH Settings",
"inferenceSettings": "Inference Settings",
"sshAccess": "SSH Access",
"rdpSettings": "RDP Settings",
"vncSettings": "VNC Settings",
@@ -2401,6 +2720,7 @@
"editInternalResourceDialogModeCidr": "CIDR",
"editInternalResourceDialogModeHttp": "HTTP",
"editInternalResourceDialogModeHttps": "HTTPS",
"editInternalResourceDialogModeInference": "Inference",
"editInternalResourceDialogModeSsh": "SSH",
"editInternalResourceDialogScheme": "Scheme",
"editInternalResourceDialogEnableSsl": "Enable TLS",
@@ -2460,6 +2780,7 @@
"createInternalResourceDialogModeHttp": "HTTP",
"createInternalResourceDialogModeHttps": "HTTPS",
"createInternalResourceDialogModeSsh": "SSH",
"createInternalResourceDialogModeInference": "Inference",
"scheme": "Scheme",
"createInternalResourceDialogScheme": "Scheme",
"createInternalResourceDialogEnableSsl": "Enable TLS",
@@ -3072,6 +3393,36 @@
"logRetention": "Log Retention",
"logRetentionDescription": "Manage how long different types of logs are retained for this organization or disable them",
"requestLogsDescription": "View detailed request logs for HTTPS resources in this organization",
"aiSessionLogs": "AI Gateway Session Logs",
"aiSessionLogsDescription": "View prompt and response transcripts for AI gateway requests in this organization",
"sidebarLogsAi": "AI Session Logs",
"commandLogsAi": "AI Session Logs",
"sidebarLogsAiUsage": "AI Usage Analytics",
"commandLogsAiUsage": "AI Usage Analytics",
"provider": "Provider",
"capability": "Capability",
"model": "Model",
"stream": "Stream",
"streaming": "Streaming",
"nonStreaming": "Non-streaming",
"statusCode": "Status Code",
"aiSessionId": "Session ID",
"aiSessionRequest": "Request",
"aiSessionResponse": "Response",
"aiSessionNoData": "No data captured",
"aiSessionCouldNotParse": "(raw, could not parse transcript)",
"aiSessionLogTruncated": "This session was truncated before storage and may be incomplete.",
"aiSessionViewRaw": "View Raw JSON",
"aiSessionViewChat": "View Chat",
"cost": "Cost",
"estimated": "Estimated",
"tokenUsage": "Token Usage",
"promptTokens": "Prompt Tokens",
"cacheReadTokens": "Cache Read Tokens",
"cacheWriteTokens": "Cache Write Tokens",
"completionTokens": "Completion Tokens",
"reasoningTokens": "Reasoning Tokens",
"totalTokens": "Total Tokens",
"requestAnalyticsDescription": "View detailed request analytics for resources in this organization",
"logRetentionRequestLabel": "HTTP Request Log Retention",
"logRetentionRequestDescription": "How long to retain request logs",
@@ -3081,6 +3432,8 @@
"logRetentionActionDescription": "How long to retain action logs",
"logRetentionConnectionLabel": "Network Log Retention",
"logRetentionConnectionDescription": "How long to retain connection logs",
"logRetentionAISessionsLabel": "AI Gateway Session Log Retention",
"logRetentionAISessionsDescription": "How long to retain AI gateway prompt/response session logs",
"logRetentionDisabled": "Disabled",
"logRetention3Days": "3 days",
"logRetention7Days": "7 days",
@@ -3735,7 +4088,18 @@
"resourceLauncherTcp": "TCP",
"resourceLauncherUdp": "UDP",
"resourceLauncherUnlabeled": "Unlabeled",
"resourceLauncherAiGateway": "AI Gateway",
"resourceLauncherNoSite": "No Site",
"resourceLauncherAvailableModels": "Available Models",
"resourceLauncherAvailableModelsDescription": "Models you can use with this inference resource.",
"resourceLauncherAvailableModelsEmpty": "No models are available for this resource.",
"resourceLauncherAvailableModelsError": "Could not load available models.",
"resourceLauncherApiKeys": "API Keys",
"resourceLauncherApiKeysDescription": "Use your identity key or an attributed key to authenticate with this resource.",
"resourceLauncherApiKeysIdentity": "Identity Key",
"resourceLauncherApiKeysManual": "Attributed Keys",
"resourceLauncherApiKeysEmpty": "No API keys are available for this resource.",
"resourceLauncherApiKeysError": "Could not load API keys.",
"resourceLauncherNoResourcesInGroup": "No resources in this group",
"resourceLauncherEmptyStateTitle": "No Resources Available",
"resourceLauncherEmptyStateDescription": "You don't have access to any resources yet. Contact your administrator to request access.",
@@ -3826,4 +4190,4 @@
"sessionToolbarShow": "Show toolbar",
"sessionToolbarHide": "Hide toolbar",
"actionUpdateSiteApprovals": "Update Site Approvals"
}
}
+10 -3
View File
@@ -65,6 +65,7 @@
"express": "5.2.1",
"express-rate-limit": "8.5.2",
"glob": "13.0.6",
"gpt-tokenizer": "^3.4.0",
"helmet": "8.2.0",
"http-errors": "2.0.1",
"input-otp": "1.4.2",
@@ -12760,6 +12761,12 @@
"url": "https://github.com/sponsors/ljharb"
}
},
"node_modules/gpt-tokenizer": {
"version": "3.4.0",
"resolved": "https://registry.npmjs.org/gpt-tokenizer/-/gpt-tokenizer-3.4.0.tgz",
"integrity": "sha512-wxFLnhIXTDjYebd9A9pGl3e31ZpSypbpIJSOswbgop5jLte/AsZVDvjlbEuVFlsqZixVKqbcoNmRlFDf6pz/UQ==",
"license": "MIT"
},
"node_modules/graceful-fs": {
"version": "4.2.11",
"resolved": "https://registry.npmjs.org/graceful-fs/-/graceful-fs-4.2.11.tgz",
@@ -14537,9 +14544,9 @@
}
},
"node_modules/nanoid": {
"version": "3.3.18",
"resolved": "https://registry.npmjs.org/nanoid/-/nanoid-3.3.18.tgz",
"integrity": "sha512-DTg4MJbGMWkfi6VZFdNt2/caMbQy4Ou+Op/hJQvGEWcnVfoA1QA+xzRKAzw9jD6+GVOOeYr/mIcuDSdug6F6+w==",
"version": "3.3.12",
"resolved": "https://registry.npmjs.org/nanoid/-/nanoid-3.3.12.tgz",
"integrity": "sha512-ZB9RH/39qpq5Vu6Y+NmUaFhQR6pp+M2Xt76XBnEwDaGcVAqhlvxrl3B2bKS5D3NH3QR76v3aSrKaF/Kiy7lEtQ==",
"funding": [
{
"type": "github",
+2 -1
View File
@@ -33,9 +33,9 @@
},
"dependencies": {
"@asteasolutions/zod-to-openapi": "8.5.0",
"@aws-sdk/client-s3": "3.1056.0",
"@devolutions/iron-remote-desktop": "https://static.pangolin.net/packages/devolutions-iron-remote-desktop-0.0.0.tgz",
"@devolutions/iron-remote-desktop-rdp": "https://static.pangolin.net/packages/devolutions-iron-remote-desktop-rdp-0.0.1.tgz",
"@aws-sdk/client-s3": "3.1056.0",
"@headlessui/react": "2.2.10",
"@hookform/resolvers": "5.4.0",
"@monaco-editor/react": "4.7.0",
@@ -88,6 +88,7 @@
"express": "5.2.1",
"express-rate-limit": "8.5.2",
"glob": "13.0.6",
"gpt-tokenizer": "^3.4.0",
"helmet": "8.2.0",
"http-errors": "2.0.1",
"input-otp": "1.4.2",
+39
View File
@@ -0,0 +1,39 @@
import express from "express";
import helmet from "helmet";
import cors from "cors";
import config from "@server/lib/config";
import logger from "@server/logger";
import {
errorHandlerMiddleware,
notFoundMiddleware
} from "@server/middlewares";
import { createAiGatewayRouter } from "@server/routers/aiGateway";
const aiGatewayPort = config.getRawConfig().server.ai_gateway_port;
export function createAiGatewayServer() {
const aiGatewayServer = express();
const trustProxy = config.getRawConfig().server.trust_proxy;
if (trustProxy) {
aiGatewayServer.set("trust proxy", trustProxy);
}
aiGatewayServer.use(helmet());
aiGatewayServer.use(cors());
aiGatewayServer.use(express.json());
aiGatewayServer.use(createAiGatewayRouter());
aiGatewayServer.use(notFoundMiddleware);
aiGatewayServer.use(errorHandlerMiddleware);
aiGatewayServer.listen(aiGatewayPort, (err?: any) => {
if (err) throw err;
logger.info(
`AI gateway server is running on http://localhost:${aiGatewayPort}`
);
});
return aiGatewayServer;
}
+23 -1
View File
@@ -50,6 +50,8 @@ export enum ActionsEnum {
setResourceUsers = "setResourceUsers",
setResourceRoles = "setResourceRoles",
listResourceUsers = "listResourceUsers",
listResourceAiModels = "listResourceAiModels",
setResourceAiModels = "setResourceAiModels",
// removeRoleSite = "removeRoleSite",
// addRoleAction = "addRoleAction",
// removeRoleAction = "removeRoleAction",
@@ -182,7 +184,27 @@ export enum ActionsEnum {
setResourcePolicyHeaderAuth = "setResourcePolicyHeaderAuth",
setResourcePolicyWhitelist = "setResourcePolicyWhitelist",
setResourcePolicyRules = "setResourcePolicyRules",
createOrgWideLauncherView = "createOrgWideLauncherView"
createOrgWideLauncherView = "createOrgWideLauncherView",
createAiProvider = "createAiProvider",
deleteAiProvider = "deleteAiProvider",
getAiProvider = "getAiProvider",
listAiProviders = "listAiProviders",
updateAiProvider = "updateAiProvider",
createAiModel = "createAiModel",
deleteAiModel = "deleteAiModel",
getAiModel = "getAiModel",
listAiModels = "listAiModels",
updateAiModel = "updateAiModel",
createAiBudget = "createAiBudget",
deleteAiBudget = "deleteAiBudget",
getAiBudget = "getAiBudget",
listAiBudgets = "listAiBudgets",
updateAiBudget = "updateAiBudget",
createVirtualApiKey = "createVirtualApiKey",
deleteVirtualApiKey = "deleteVirtualApiKey",
getVirtualApiKey = "getVirtualApiKey",
listVirtualApiKeys = "listVirtualApiKeys",
updateVirtualApiKey = "updateVirtualApiKey"
}
export async function checkUserActionPermission(
+4
View File
@@ -3,12 +3,16 @@ import { flushConnectionLogToDb } from "#dynamic/routers/newt";
import { flushSiteBandwidthToDb } from "@server/routers/gerbil/receiveBandwidth";
import { stopPingAccumulator } from "@server/routers/newt/pingAccumulator";
import { cleanup as wsCleanup } from "#dynamic/routers/ws";
import { shutdownUsageRecorder } from "@server/lib/aiBudgetEnforcement";
import { shutdownAiSessionLogger } from "@server/routers/aiGateway/logAiSession";
async function cleanup() {
await stopPingAccumulator();
await flushBandwidthToDb();
await flushConnectionLogToDb();
await flushSiteBandwidthToDb();
await shutdownUsageRecorder();
await shutdownAiSessionLogger();
await wsCleanup();
process.exit(0);
+2 -1
View File
@@ -95,7 +95,8 @@ export const subscriptions = pgTable("subscriptions", {
billingCycleAnchor: bigint("billingCycleAnchor", { mode: "number" }),
expiresAt: bigint("expiresAt", { mode: "number" }),
trial: boolean("trial").default(false),
type: varchar("type", { length: 50 }) // tier1, tier2, tier3, or license
type: varchar("type", { length: 50 }), // tier1, tier2, tier3, or license
override: boolean("override").default(false)
});
export const subscriptionItems = pgTable("subscriptionItems", {
+466 -7
View File
@@ -3,6 +3,7 @@ import { InferSelectModel, sql } from "drizzle-orm";
import {
bigint,
boolean,
check,
index,
integer,
pgTable,
@@ -11,6 +12,7 @@ import {
serial,
text,
unique,
uniqueIndex,
varchar
} from "drizzle-orm/pg-core";
@@ -63,6 +65,11 @@ export const orgs = pgTable("orgs", {
) // where 0 = dont keep logs and -1 = keep forever and 9001 = end of the following year
.notNull()
.default(0),
settingsLogRetentionDaysAISessions: integer(
"settingsLogRetentionDaysAISessions"
) // where 0 = dont keep logs and -1 = keep forever and 9001 = end of the following year
.notNull()
.default(7),
sshCaPrivateKey: text("sshCaPrivateKey"), // Encrypted SSH CA private key (PEM format)
sshCaPublicKey: text("sshCaPublicKey"), // SSH CA public key (OpenSSH format)
isBillingOrg: boolean("isBillingOrg"),
@@ -99,6 +106,7 @@ export const sites = pgTable(
name: varchar("name").notNull(),
pubKey: varchar("pubKey"),
subnet: varchar("subnet"),
exitNodeSubnet: text("exitNodeSubnet"), // this is the subnet when connecting to an exit node and INCLUDES THE CIDR
megabytesIn: real("bytesIn").default(0),
megabytesOut: real("bytesOut").default(0),
lastBandwidthUpdate: varchar("lastBandwidthUpdate"),
@@ -194,7 +202,12 @@ export const resources = pgTable(
postAuthPath: text("postAuthPath"),
health: varchar("health").default("unknown"), // "healthy", "unhealthy", "unknown"
wildcard: boolean("wildcard").notNull().default(false),
mode: text("mode").default("http").notNull(), // rdp, ssh, http, vnc
mode: text("mode")
.default("http")
.$type<
"rdp" | "ssh" | "http" | "vnc" | "inference" | "tcp" | "udp"
>()
.notNull(),
pamMode: varchar("pamMode", { length: 32 })
.$type<"passthrough" | "push">()
.default("passthrough"),
@@ -215,6 +228,41 @@ export const resources = pgTable(
]
);
export const resourceAiProviders = pgTable(
"resourceAiProviders",
{
resourceId: integer("resourceId")
.notNull()
.references(() => resources.resourceId, { onDelete: "cascade" }),
providerId: integer("providerId")
.notNull()
.references(() => aiProviders.providerId, { onDelete: "cascade" }),
accessMode: varchar("accessMode")
.$type<"inherit" | "select">()
.notNull()
.default("inherit"),
enabled: boolean("enabled").notNull().default(true)
},
(t) => [primaryKey({ columns: [t.resourceId, t.providerId] })]
);
export const resourceAiModels = pgTable(
"resourceAiModels",
{
resourceId: integer("resourceId")
.notNull()
.references(() => resources.resourceId, { onDelete: "cascade" }),
modelId: integer("modelId")
.notNull()
.references(() => aiModels.modelId, { onDelete: "cascade" }),
listType: varchar("listType")
.$type<"allow" | "block">()
.notNull()
.default("allow")
},
(t) => [primaryKey({ columns: [t.resourceId, t.modelId] })]
);
export const labels = pgTable("labels", {
labelId: serial("labelId").primaryKey(),
name: varchar("name").notNull(),
@@ -317,11 +365,18 @@ export const targets = pgTable(
"targets",
{
targetId: serial("targetId").primaryKey(),
resourceId: integer("resourceId")
.references(() => resources.resourceId, {
resourceId: integer("resourceId").references(
() => resources.resourceId,
{
onDelete: "cascade"
})
.notNull(),
}
),
providerId: integer("providerId").references(
() => aiProviders.providerId,
{
onDelete: "cascade"
}
),
siteId: integer("siteId")
.references(() => sites.siteId, {
onDelete: "cascade"
@@ -345,6 +400,7 @@ export const targets = pgTable(
},
(t) => [
index("idx_targets_resourceid_siteid").on(t.resourceId, t.siteId),
index("idx_targets_providerid_siteid").on(t.providerId, t.siteId),
index("idx_targets_site_enabled_priority_target_resource")
.on(t.siteId, t.priority.desc(), t.targetId, t.resourceId)
.where(sql`${t.enabled} = true`)
@@ -424,11 +480,14 @@ export const siteResources = pgTable(
onDelete: "restrict"
}
),
requiresExitNodeConnection: boolean("requiresExitNodeConnection")
.notNull()
.default(false),
niceId: varchar("niceId").notNull(),
name: varchar("name").notNull(),
ssl: boolean("ssl").notNull().default(false),
mode: varchar("mode")
.$type<"host" | "cidr" | "http" | "ssh">()
.$type<"host" | "cidr" | "http" | "ssh" | "inference">()
.notNull(), // "host" | "cidr" | "http"
scheme: varchar("scheme").$type<"http" | "https">(), // only for when we are doing https or http mode
proxyPort: integer("proxyPort"), // only for port mode
@@ -463,6 +522,45 @@ export const siteResources = pgTable(
(t) => [index("idx_siteresources_orgid_niceid").on(t.orgId, t.niceId)]
);
export const siteResourceAiProviders = pgTable(
"siteResourceAiProviders",
{
siteResourceId: integer("siteResourceId")
.notNull()
.references(() => siteResources.siteResourceId, {
onDelete: "cascade"
}),
providerId: integer("providerId")
.notNull()
.references(() => aiProviders.providerId, { onDelete: "cascade" }),
accessMode: varchar("accessMode")
.$type<"inherit" | "select">()
.notNull()
.default("inherit"),
enabled: boolean("enabled").notNull().default(true)
},
(t) => [primaryKey({ columns: [t.siteResourceId, t.providerId] })]
);
export const siteResourceAiModels = pgTable(
"siteResourceAiModels",
{
siteResourceId: integer("siteResourceId")
.notNull()
.references(() => siteResources.siteResourceId, {
onDelete: "cascade"
}),
modelId: integer("modelId")
.notNull()
.references(() => aiModels.modelId, { onDelete: "cascade" }),
listType: varchar("listType")
.$type<"allow" | "block">()
.notNull()
.default("allow")
},
(t) => [primaryKey({ columns: [t.siteResourceId, t.modelId] })]
);
export const networks = pgTable(
"networks",
{
@@ -1150,6 +1248,52 @@ export const apiKeyOrg = pgTable("apiKeyOrg", {
.notNull()
});
export const virtualApiKeys = pgTable(
"virtualApiKeys",
{
virtualApiKeyId: varchar("virtualApiKeyId").primaryKey(),
orgId: varchar("orgId")
.notNull()
.references(() => orgs.orgId, { onDelete: "cascade" }),
kind: varchar("kind").$type<"user" | "manual">().notNull(),
userId: varchar("userId").references(() => users.userId, {
onDelete: "cascade"
}),
name: varchar("name"),
description: varchar("description"),
token: varchar("token").notNull(),
lastChars: varchar("lastChars").notNull(),
allResources: boolean("allResources").notNull().default(false),
expiresAt: bigint("expiresAt", { mode: "number" }),
lastUsedAt: bigint("lastUsedAt", { mode: "number" }),
createdAt: bigint("createdAt", { mode: "number" }).notNull(),
createdByUserId: varchar("createdByUserId").references(
() => users.userId,
{ onDelete: "set null" }
)
},
(t) => [
uniqueIndex("virtual_api_key_user_identity_uniq")
.on(t.orgId, t.userId)
.where(sql`${t.kind} = 'user'`)
]
);
export const virtualApiKeyResources = pgTable(
"virtualApiKeyResources",
{
virtualApiKeyId: varchar("virtualApiKeyId")
.notNull()
.references(() => virtualApiKeys.virtualApiKeyId, {
onDelete: "cascade"
}),
resourceId: integer("resourceId")
.notNull()
.references(() => resources.resourceId, { onDelete: "cascade" })
},
(t) => [primaryKey({ columns: [t.virtualApiKeyId, t.resourceId] })]
);
export const idpOrg = pgTable("idpOrg", {
idpId: integer("idpId")
.notNull()
@@ -1181,7 +1325,7 @@ export const clients = pgTable(
olmId: text("olmId"), // to lock it to a specific olm optionally
name: varchar("name").notNull(),
pubKey: varchar("pubKey"),
subnet: varchar("subnet").notNull(),
exitNodeSubnet: varchar("exitNodeSubnet").notNull(), // INCLUDES THE CIDR
megabytesIn: real("bytesIn"),
megabytesOut: real("bytesOut"),
lastBandwidthUpdate: varchar("lastBandwidthUpdate"),
@@ -1540,6 +1684,305 @@ export const statusHistory = pgTable(
]
);
export const aiProviders = pgTable("aiProviders", {
providerId: serial("providerId").primaryKey(),
orgId: varchar("orgId")
.notNull()
.references(() => orgs.orgId, { onDelete: "cascade" }),
name: varchar("name").notNull(),
type: varchar("type")
.$type<
| "openai"
| "anthropic"
| "googleGemini"
| "vertexAi"
| "bedrock"
| "microsoftFoundry"
| "openRouter"
| "vercelAiGateway"
| "custom"
>()
.notNull(),
upstreamUrl: text("upstreamUrl"),
apiKey: text("apiKey"),
apiKeyLastChars: varchar("apiKeyLastChars"),
authType: varchar("authType")
.$type<
| "bearer"
| "x-api-key"
| "x-goog-api-key"
| "hec"
| "cf-aig-authorization"
| "none"
| "passthrough"
>()
.notNull(),
routingMode: varchar("routingMode")
.$type<"url" | "target">()
.notNull()
.default("url"),
capabilities: text("capabilities").notNull().default("[]"),
headers: text("headers"), // JSON array of { name, value }
skipTlsVerification: boolean("skipTlsVerification")
.notNull()
.default(false),
enabled: boolean("enabled").notNull().default(true),
createdAt: bigint("createdAt", { mode: "number" }).notNull(),
updatedAt: bigint("updatedAt", { mode: "number" }).notNull()
});
export const aiModels = pgTable(
"aiModels",
{
modelId: serial("modelId").primaryKey(),
providerId: integer("providerId")
.notNull()
.references(() => aiProviders.providerId, { onDelete: "cascade" }),
modelKey: varchar("modelKey").notNull(),
name: varchar("name").notNull(),
listType: varchar("listType")
.$type<"allow" | "block">()
.notNull()
.default("allow"),
enabled: boolean("enabled").notNull().default(true),
createdAt: bigint("createdAt", { mode: "number" }).notNull(),
updatedAt: bigint("updatedAt", { mode: "number" }).notNull()
},
(t) => [unique("ai_model_provider_key_uniq").on(t.providerId, t.modelKey)]
);
export const aiBudgets = pgTable(
"aiBudgets",
{
budgetId: serial("budgetId").primaryKey(),
orgId: varchar("orgId")
.notNull()
.references(() => orgs.orgId, { onDelete: "cascade" }),
providerId: integer("providerId").references(
() => aiProviders.providerId,
{ onDelete: "cascade" }
),
modelId: integer("modelId").references(() => aiModels.modelId, {
onDelete: "cascade"
}),
resourceId: integer("resourceId").references(
() => resources.resourceId,
{ onDelete: "cascade" }
),
siteResourceId: integer("siteResourceId").references(
() => siteResources.siteResourceId,
{ onDelete: "cascade" }
),
roleId: integer("roleId").references(() => roles.roleId, {
onDelete: "cascade"
}),
amount: real("amount").notNull(),
unit: varchar("unit").$type<"usd" | "tokens">().notNull(),
period: varchar("period")
.$type<
| "monthly"
| "yearly"
| "lifetime"
| "daily"
| "hourly"
| "weekly"
>()
.notNull()
.default("monthly"),
enforcement: varchar("enforcement")
.$type<"hard" | "soft">()
.notNull()
.default("hard"),
enabled: boolean("enabled").notNull().default(true),
createdAt: bigint("createdAt", { mode: "number" }).notNull(),
updatedAt: bigint("updatedAt", { mode: "number" }).notNull()
},
(t) => [
unique("ai_budget_provider_uniq").on(t.providerId, t.unit, t.period),
unique("ai_budget_model_uniq").on(t.modelId, t.unit, t.period),
unique("ai_budget_resource_uniq").on(t.resourceId, t.unit, t.period),
unique("ai_budget_site_resource_uniq").on(
t.siteResourceId,
t.unit,
t.period
),
unique("ai_budget_role_uniq").on(t.roleId, t.unit, t.period)
]
);
export const aiUsageRecords = pgTable(
"aiUsageRecords",
{
id: serial("id").primaryKey(),
orgId: varchar("orgId")
.notNull()
.references(() => orgs.orgId, { onDelete: "cascade" }),
providerId: integer("providerId")
.notNull()
.references(() => aiProviders.providerId, { onDelete: "cascade" }),
resourceId: integer("resourceId").references(
() => resources.resourceId,
{ onDelete: "cascade" }
),
siteResourceId: integer("siteResourceId").references(
() => siteResources.siteResourceId,
{ onDelete: "cascade" }
),
userId: varchar("userId").references(() => users.userId, {
onDelete: "set null"
}),
// Links this usage record back to the aiSessionLog row for the same
// request (aiSessionLog.sessionId), so token/cost usage can be shown
// alongside the session transcript. Not a DB-level FK - aiSessionLog
// lives in the separate logs database. Nullable because the session
// log may be disabled (retention set to 0) while usage tracking
// stays on.
sessionId: varchar("sessionId"),
requestedModel: varchar("requestedModel").notNull(),
promptTokens: integer("promptTokens").notNull().default(0),
cacheReadTokens: integer("cacheReadTokens").notNull().default(0),
cacheWriteTokens: integer("cacheWriteTokens").notNull().default(0),
completionTokens: integer("completionTokens").notNull().default(0),
reasoningTokens: integer("reasoningTokens").notNull().default(0),
totalTokens: integer("totalTokens").notNull().default(0),
costUsd: real("costUsd"),
estimated: boolean("estimated").notNull().default(false),
createdAt: bigint("createdAt", { mode: "number" }).notNull()
},
(t) => [
index("idx_ai_usage_records_org_provider_created").on(
t.orgId,
t.providerId,
t.createdAt
),
index("idx_ai_usage_records_org_resource_created").on(
t.orgId,
t.resourceId,
t.createdAt
),
index("idx_ai_usage_records_org_site_resource_created").on(
t.orgId,
t.siteResourceId,
t.createdAt
),
index("idx_ai_usage_records_org_user_created").on(
t.orgId,
t.userId,
t.createdAt
),
index("idx_ai_usage_records_session").on(t.sessionId)
]
);
export const aiBudgetBreachEvents = pgTable(
"aiBudgetBreachEvents",
{
id: serial("id").primaryKey(),
orgId: varchar("orgId")
.notNull()
.references(() => orgs.orgId, { onDelete: "cascade" }),
budgetId: integer("budgetId")
.notNull()
.references(() => aiBudgets.budgetId, { onDelete: "cascade" }),
enforcement: varchar("enforcement").$type<"hard" | "soft">().notNull(),
unit: varchar("unit").$type<"usd" | "tokens">().notNull(),
period: varchar("period")
.$type<
| "monthly"
| "yearly"
| "lifetime"
| "daily"
| "hourly"
| "weekly"
>()
.notNull(),
amount: real("amount").notNull(),
usageAmount: real("usageAmount").notNull(),
blocked: boolean("blocked").notNull(),
requestUserId: varchar("requestUserId").references(() => users.userId, {
onDelete: "set null"
}),
createdAt: bigint("createdAt", { mode: "number" }).notNull()
},
(t) => [
index("idx_ai_budget_breach_events_budget_created").on(
t.budgetId,
t.createdAt
)
]
);
// Logs the aggregated prompt + response for a single AI gateway request, for
// session replay. One row per request (not per streaming chunk). `sessionId`
// is a fresh random id per row for now - no cross-request correlation yet,
// but the column exists so a future pass can link multiple rows into a real
// multi-turn session.
export const aiSessionLog = pgTable(
"aiSessionLog",
{
id: serial("id").primaryKey(),
sessionId: varchar("sessionId").notNull(),
orgId: varchar("orgId").references(() => orgs.orgId, {
onDelete: "cascade"
}),
providerId: integer("providerId")
.notNull()
.references(() => aiProviders.providerId, { onDelete: "cascade" }),
capability: varchar("capability").notNull(),
resourceId: integer("resourceId").references(
() => resources.resourceId,
{ onDelete: "cascade" }
),
siteResourceId: integer("siteResourceId").references(
() => siteResources.siteResourceId,
{ onDelete: "cascade" }
),
userId: varchar("userId").references(() => users.userId, {
onDelete: "set null"
}),
requestedModel: varchar("requestedModel"),
isStream: boolean("isStream").notNull().default(false),
requestBody: text("requestBody"),
responseBody: text("responseBody"),
// Capability-agnostic message transcript (JSON-encoded
// NormalizedAiMessage[] from server/lib/aiMessageNormalization.ts),
// computed at write time so search/display never need per-capability
// parsing logic. Null when normalization couldn't recognize the
// shape - callers fall back to requestBody/responseBody.
normalizedRequest: text("normalizedRequest"),
normalizedResponse: text("normalizedResponse"),
// True if any of the request/response (raw or normalized) fields
// were cut short at AI_SESSION_LOG_MAX_BODY_CHARS before storage.
truncated: boolean("truncated").notNull().default(false),
statusCode: integer("statusCode"),
createdAt: bigint("createdAt", { mode: "number" }).notNull() // epoch ms
},
(t) => [
index("idx_ai_session_log_org_created").on(t.orgId, t.createdAt),
index("idx_ai_session_log_org_provider_created").on(
t.orgId,
t.providerId,
t.createdAt
),
index("idx_ai_session_log_org_resource_created").on(
t.orgId,
t.resourceId,
t.createdAt
),
index("idx_ai_session_log_org_site_resource_created").on(
t.orgId,
t.siteResourceId,
t.createdAt
),
index("idx_ai_session_log_org_user_created").on(
t.orgId,
t.userId,
t.createdAt
),
index("idx_ai_session_log_session").on(t.sessionId)
]
);
export type Org = InferSelectModel<typeof orgs>;
export type User = InferSelectModel<typeof users>;
export type Site = InferSelectModel<typeof sites>;
@@ -1595,6 +2038,10 @@ export type Idp = InferSelectModel<typeof idp>;
export type ApiKey = InferSelectModel<typeof apiKeys>;
export type ApiKeyAction = InferSelectModel<typeof apiKeyActions>;
export type ApiKeyOrg = InferSelectModel<typeof apiKeyOrg>;
export type VirtualApiKey = InferSelectModel<typeof virtualApiKeys>;
export type VirtualApiKeyResource = InferSelectModel<
typeof virtualApiKeyResources
>;
export type Client = InferSelectModel<typeof clients>;
export type ClientSite = InferSelectModel<typeof clientSitesAssociationsCache>;
export type Olm = InferSelectModel<typeof olms>;
@@ -1624,3 +2071,15 @@ export type ResourcePolicy = InferSelectModel<typeof resourcePolicies>;
export type RolePolicy = InferSelectModel<typeof rolePolicies>;
export type UserPolicy = InferSelectModel<typeof userPolicies>;
export type ResourcePolicyRule = InferSelectModel<typeof resourcePolicyRules>;
export type AiProvider = InferSelectModel<typeof aiProviders>;
export type AiModel = InferSelectModel<typeof aiModels>;
export type AiBudget = InferSelectModel<typeof aiBudgets>;
export type AiUsageRecord = InferSelectModel<typeof aiUsageRecords>;
export type AiBudgetBreachEvent = InferSelectModel<typeof aiBudgetBreachEvents>;
export type AiSessionLog = InferSelectModel<typeof aiSessionLog>;
export type ResourceAiProvider = InferSelectModel<typeof resourceAiProviders>;
export type SiteResourceAiProvider = InferSelectModel<
typeof siteResourceAiProviders
>;
export type ResourceAiModel = InferSelectModel<typeof resourceAiModels>;
export type SiteResourceAiModel = InferSelectModel<typeof siteResourceAiModels>;
+6 -1
View File
@@ -5,6 +5,7 @@ import path from "path";
import fs from "fs";
import { APP_PATH } from "@server/lib/consts";
import { existsSync, mkdirSync } from "fs";
import logger from "@server/logger";
export const location = path.join(APP_PATH, "db", "db.sqlite");
export const exists = checkFileExists(location);
@@ -12,7 +13,11 @@ export const exists = checkFileExists(location);
bootstrapVolume();
function createDb() {
const sqlite = new Database(location);
const verbose =
process.env.QUERY_LOGGING == "true"
? (message: unknown) => logger.debug(String(message))
: undefined;
const sqlite = new Database(location, { verbose });
if (process.env.ENABLE_SQLITE_WAL_MODE == "true") {
// Enable WAL mode — allows concurrent readers + single writer, preventing
+2 -1
View File
@@ -89,7 +89,8 @@ export const subscriptions = sqliteTable("subscriptions", {
expiresAt: integer("expiresAt"),
trial: integer("trial", { mode: "boolean" }).default(false),
billingCycleAnchor: integer("billingCycleAnchor"),
type: text("type") // tier1, tier2, tier3, or license
type: text("type"), // tier1, tier2, tier3, or license
override: integer("override", { mode: "boolean" }).default(false)
});
export const subscriptionItems = sqliteTable("subscriptionItems", {
+477 -10
View File
@@ -1,12 +1,15 @@
import { randomUUID } from "crypto";
import { InferSelectModel } from "drizzle-orm";
import { InferSelectModel, sql } from "drizzle-orm";
import {
check,
index,
integer,
primaryKey,
real,
sqliteTable,
text,
unique
unique,
uniqueIndex
} from "drizzle-orm/sqlite-core";
export const domains = sqliteTable("domains", {
@@ -61,6 +64,11 @@ export const orgs = sqliteTable("orgs", {
) // where 0 = dont keep logs and -1 = keep forever and 9001 = end of the following year
.notNull()
.default(0),
settingsLogRetentionDaysAISessions: integer(
"settingsLogRetentionDaysAISessions"
) // where 0 = dont keep logs and -1 = keep forever and 9001 = end of the following year
.notNull()
.default(7),
sshCaPrivateKey: text("sshCaPrivateKey"), // Encrypted SSH CA private key (PEM format)
sshCaPublicKey: text("sshCaPublicKey"), // SSH CA public key (OpenSSH format)
isBillingOrg: integer("isBillingOrg", { mode: "boolean" }),
@@ -107,7 +115,7 @@ export const sites = sqliteTable("sites", {
}),
name: text("name").notNull(),
pubKey: text("pubKey"),
subnet: text("subnet"),
exitNodeSubnet: text("exitNodeSubnet"),
megabytesIn: integer("bytesIn").default(0),
megabytesOut: integer("bytesOut").default(0),
lastBandwidthUpdate: text("lastBandwidthUpdate"),
@@ -203,7 +211,10 @@ export const resources = sqliteTable("resources", {
postAuthPath: text("postAuthPath"),
health: text("health").default("unknown"), // "healthy", "unhealthy", "unknown"
wildcard: integer("wildcard", { mode: "boolean" }).notNull().default(false),
mode: text("mode").default("http").notNull(), // rdp, ssh, http, vnc
mode: text("mode")
.default("http")
.$type<"rdp" | "ssh" | "http" | "vnc" | "inference" | "tcp" | "udp">()
.notNull(), // rdp, ssh, http, vnc, inference
pamMode: text("pamMode")
.$type<"passthrough" | "push">()
.default("passthrough"),
@@ -214,6 +225,41 @@ export const resources = sqliteTable("resources", {
status: text("status").$type<"pending" | "approved">().default("approved")
});
export const resourceAiProviders = sqliteTable(
"resourceAiProviders",
{
resourceId: integer("resourceId")
.notNull()
.references(() => resources.resourceId, { onDelete: "cascade" }),
providerId: integer("providerId")
.notNull()
.references(() => aiProviders.providerId, { onDelete: "cascade" }),
accessMode: text("accessMode")
.$type<"inherit" | "select">()
.notNull()
.default("inherit"),
enabled: integer("enabled", { mode: "boolean" }).notNull().default(true)
},
(t) => [primaryKey({ columns: [t.resourceId, t.providerId] })]
);
export const resourceAiModels = sqliteTable(
"resourceAiModels",
{
resourceId: integer("resourceId")
.notNull()
.references(() => resources.resourceId, { onDelete: "cascade" }),
modelId: integer("modelId")
.notNull()
.references(() => aiModels.modelId, { onDelete: "cascade" }),
listType: text("listType")
.$type<"allow" | "block">()
.notNull()
.default("allow")
},
(t) => [primaryKey({ columns: [t.resourceId, t.modelId] })]
);
export const labels = sqliteTable("labels", {
labelId: integer("labelId").primaryKey({ autoIncrement: true }),
name: text("name").notNull(),
@@ -322,11 +368,12 @@ export const clientLabels = sqliteTable(
export const targets = sqliteTable("targets", {
targetId: integer("targetId").primaryKey({ autoIncrement: true }),
resourceId: integer("resourceId")
.references(() => resources.resourceId, {
onDelete: "cascade"
})
.notNull(),
resourceId: integer("resourceId").references(() => resources.resourceId, {
onDelete: "cascade"
}),
providerId: integer("providerId").references(() => aiProviders.providerId, {
onDelete: "cascade"
}),
siteId: integer("siteId")
.references(() => sites.siteId, {
onDelete: "cascade"
@@ -422,10 +469,17 @@ export const siteResources = sqliteTable("siteResources", {
() => networks.networkId,
{ onDelete: "restrict" }
),
requiresExitNodeConnection: integer("requiresExitNodeConnection", {
mode: "boolean"
})
.notNull()
.default(false),
niceId: text("niceId").notNull(),
name: text("name").notNull(),
ssl: integer("ssl", { mode: "boolean" }).notNull().default(false),
mode: text("mode").$type<"host" | "cidr" | "http" | "ssh">().notNull(), // "host" | "cidr" | "http"
mode: text("mode")
.$type<"host" | "cidr" | "http" | "ssh" | "inference">()
.notNull(), // "host" | "cidr" | "http"
scheme: text("scheme").$type<"http" | "https">(), // only for when we are doing https or http mode
proxyPort: integer("proxyPort"), // only for port mode
destinationPort: integer("destinationPort"), // only for port mode
@@ -453,6 +507,45 @@ export const siteResources = sqliteTable("siteResources", {
status: text("status").$type<"pending" | "approved">().default("approved")
});
export const siteResourceAiProviders = sqliteTable(
"siteResourceAiProviders",
{
siteResourceId: integer("siteResourceId")
.notNull()
.references(() => siteResources.siteResourceId, {
onDelete: "cascade"
}),
providerId: integer("providerId")
.notNull()
.references(() => aiProviders.providerId, { onDelete: "cascade" }),
accessMode: text("accessMode")
.$type<"inherit" | "select">()
.notNull()
.default("inherit"),
enabled: integer("enabled", { mode: "boolean" }).notNull().default(true)
},
(t) => [primaryKey({ columns: [t.siteResourceId, t.providerId] })]
);
export const siteResourceAiModels = sqliteTable(
"siteResourceAiModels",
{
siteResourceId: integer("siteResourceId")
.notNull()
.references(() => siteResources.siteResourceId, {
onDelete: "cascade"
}),
modelId: integer("modelId")
.notNull()
.references(() => aiModels.modelId, { onDelete: "cascade" }),
listType: text("listType")
.$type<"allow" | "block">()
.notNull()
.default("allow")
},
(t) => [primaryKey({ columns: [t.siteResourceId, t.modelId] })]
);
export const networks = sqliteTable("networks", {
networkId: integer("networkId").primaryKey({ autoIncrement: true }),
niceId: text("niceId"),
@@ -599,6 +692,7 @@ export const clients = sqliteTable("clients", {
pubKey: text("pubKey"),
olmId: text("olmId"), // to lock it to a specific olm optionally
subnet: text("subnet").notNull(),
exitNodeSubnet: text("exitNodeSubnet"), // this is the subnet when connecting to an exit node
megabytesIn: integer("bytesIn"),
megabytesOut: integer("bytesOut"),
lastBandwidthUpdate: text("lastBandwidthUpdate"),
@@ -1411,6 +1505,54 @@ export const apiKeyOrg = sqliteTable("apiKeyOrg", {
.notNull()
});
export const virtualApiKeys = sqliteTable(
"virtualApiKeys",
{
virtualApiKeyId: text("virtualApiKeyId").primaryKey(),
orgId: text("orgId")
.notNull()
.references(() => orgs.orgId, { onDelete: "cascade" }),
kind: text("kind").$type<"user" | "manual">().notNull(),
userId: text("userId").references(() => users.userId, {
onDelete: "cascade"
}),
name: text("name"),
description: text("description"),
token: text("token").notNull(),
lastChars: text("lastChars").notNull(),
allResources: integer("allResources", { mode: "boolean" })
.notNull()
.default(false),
expiresAt: integer("expiresAt"),
lastUsedAt: integer("lastUsedAt"),
createdAt: integer("createdAt").notNull(),
createdByUserId: text("createdByUserId").references(
() => users.userId,
{ onDelete: "set null" }
)
},
(t) => [
uniqueIndex("virtual_api_key_user_identity_uniq")
.on(t.orgId, t.userId)
.where(sql`${t.kind} = 'user'`)
]
);
export const virtualApiKeyResources = sqliteTable(
"virtualApiKeyResources",
{
virtualApiKeyId: text("virtualApiKeyId")
.notNull()
.references(() => virtualApiKeys.virtualApiKeyId, {
onDelete: "cascade"
}),
resourceId: integer("resourceId")
.notNull()
.references(() => resources.resourceId, { onDelete: "cascade" })
},
(t) => [primaryKey({ columns: [t.virtualApiKeyId, t.resourceId] })]
);
export const idpOrg = sqliteTable("idpOrg", {
idpId: integer("idpId")
.notNull()
@@ -1526,6 +1668,315 @@ export const statusHistory = sqliteTable(
]
);
export const aiProviders = sqliteTable("aiProviders", {
providerId: integer("providerId").primaryKey({ autoIncrement: true }),
orgId: text("orgId")
.notNull()
.references(() => orgs.orgId, { onDelete: "cascade" }),
name: text("name").notNull(),
type: text("type")
.$type<
| "openai"
| "anthropic"
| "googleGemini"
| "vertexAi"
| "bedrock"
| "microsoftFoundry"
| "openRouter"
| "vercelAiGateway"
| "custom"
>()
.notNull(),
upstreamUrl: text("upstreamUrl"),
apiKey: text("apiKey"),
apiKeyLastChars: text("apiKeyLastChars"),
authType: text("authType")
.$type<
| "bearer"
| "x-api-key"
| "x-goog-api-key"
| "hec"
| "cf-aig-authorization"
| "none"
| "passthrough"
>()
.notNull(),
routingMode: text("routingMode")
.$type<"url" | "target">()
.notNull()
.default("url"),
capabilities: text("capabilities").notNull().default("[]"),
headers: text("headers"), // JSON array of { name, value }
skipTlsVerification: integer("skipTlsVerification", { mode: "boolean" })
.notNull()
.default(false),
enabled: integer("enabled", { mode: "boolean" }).notNull().default(true),
createdAt: integer("createdAt").notNull(),
updatedAt: integer("updatedAt").notNull()
});
export const aiModels = sqliteTable(
"aiModels",
{
modelId: integer("modelId").primaryKey({ autoIncrement: true }),
providerId: integer("providerId")
.notNull()
.references(() => aiProviders.providerId, { onDelete: "cascade" }),
modelKey: text("modelKey").notNull(),
name: text("name").notNull(),
listType: text("listType")
.$type<"allow" | "block">()
.notNull()
.default("allow"),
enabled: integer("enabled", { mode: "boolean" })
.notNull()
.default(true),
createdAt: integer("createdAt").notNull(),
updatedAt: integer("updatedAt").notNull()
},
(t) => [unique("ai_model_provider_key_uniq").on(t.providerId, t.modelKey)]
);
export const aiBudgets = sqliteTable(
"aiBudgets",
{
budgetId: integer("budgetId").primaryKey({ autoIncrement: true }),
orgId: text("orgId")
.notNull()
.references(() => orgs.orgId, { onDelete: "cascade" }),
providerId: integer("providerId").references(
() => aiProviders.providerId,
{ onDelete: "cascade" }
),
modelId: integer("modelId").references(() => aiModels.modelId, {
onDelete: "cascade"
}),
resourceId: integer("resourceId").references(
() => resources.resourceId,
{ onDelete: "cascade" }
),
siteResourceId: integer("siteResourceId").references(
() => siteResources.siteResourceId,
{ onDelete: "cascade" }
),
roleId: integer("roleId").references(() => roles.roleId, {
onDelete: "cascade"
}),
amount: real("amount").notNull(),
unit: text("unit").$type<"usd" | "tokens">().notNull(),
period: text("period")
.$type<
| "monthly"
| "yearly"
| "lifetime"
| "daily"
| "hourly"
| "weekly"
>()
.notNull()
.default("monthly"),
enforcement: text("enforcement")
.$type<"hard" | "soft">()
.notNull()
.default("hard"),
enabled: integer("enabled", { mode: "boolean" })
.notNull()
.default(true),
createdAt: integer("createdAt").notNull(),
updatedAt: integer("updatedAt").notNull()
},
(t) => [
unique("ai_budget_provider_uniq").on(t.providerId, t.unit, t.period),
unique("ai_budget_model_uniq").on(t.modelId, t.unit, t.period),
unique("ai_budget_resource_uniq").on(t.resourceId, t.unit, t.period),
unique("ai_budget_site_resource_uniq").on(
t.siteResourceId,
t.unit,
t.period
),
unique("ai_budget_role_uniq").on(t.roleId, t.unit, t.period)
]
);
export const aiUsageRecords = sqliteTable(
"aiUsageRecords",
{
id: integer("id").primaryKey({ autoIncrement: true }),
orgId: text("orgId")
.notNull()
.references(() => orgs.orgId, { onDelete: "cascade" }),
providerId: integer("providerId")
.notNull()
.references(() => aiProviders.providerId, { onDelete: "cascade" }),
resourceId: integer("resourceId").references(
() => resources.resourceId,
{ onDelete: "cascade" }
),
siteResourceId: integer("siteResourceId").references(
() => siteResources.siteResourceId,
{ onDelete: "cascade" }
),
userId: text("userId").references(() => users.userId, {
onDelete: "set null"
}),
// Links this usage record back to the aiSessionLog row for the same
// request (aiSessionLog.sessionId), so token/cost usage can be shown
// alongside the session transcript. Not a DB-level FK - aiSessionLog
// lives in the separate logs database. Nullable because the session
// log may be disabled (retention set to 0) while usage tracking
// stays on.
sessionId: text("sessionId"),
requestedModel: text("requestedModel").notNull(),
promptTokens: integer("promptTokens").notNull().default(0),
cacheReadTokens: integer("cacheReadTokens").notNull().default(0),
cacheWriteTokens: integer("cacheWriteTokens").notNull().default(0),
completionTokens: integer("completionTokens").notNull().default(0),
reasoningTokens: integer("reasoningTokens").notNull().default(0),
totalTokens: integer("totalTokens").notNull().default(0),
costUsd: real("costUsd"),
estimated: integer("estimated", { mode: "boolean" })
.notNull()
.default(false),
createdAt: integer("createdAt").notNull()
},
(t) => [
index("idx_ai_usage_records_org_provider_created").on(
t.orgId,
t.providerId,
t.createdAt
),
index("idx_ai_usage_records_org_resource_created").on(
t.orgId,
t.resourceId,
t.createdAt
),
index("idx_ai_usage_records_org_site_resource_created").on(
t.orgId,
t.siteResourceId,
t.createdAt
),
index("idx_ai_usage_records_org_user_created").on(
t.orgId,
t.userId,
t.createdAt
),
index("idx_ai_usage_records_session").on(t.sessionId)
]
);
export const aiBudgetBreachEvents = sqliteTable(
"aiBudgetBreachEvents",
{
id: integer("id").primaryKey({ autoIncrement: true }),
orgId: text("orgId")
.notNull()
.references(() => orgs.orgId, { onDelete: "cascade" }),
budgetId: integer("budgetId")
.notNull()
.references(() => aiBudgets.budgetId, { onDelete: "cascade" }),
enforcement: text("enforcement").$type<"hard" | "soft">().notNull(),
unit: text("unit").$type<"usd" | "tokens">().notNull(),
period: text("period")
.$type<
| "monthly"
| "yearly"
| "lifetime"
| "daily"
| "hourly"
| "weekly"
>()
.notNull(),
amount: real("amount").notNull(),
usageAmount: real("usageAmount").notNull(),
blocked: integer("blocked", { mode: "boolean" }).notNull(),
requestUserId: text("requestUserId").references(() => users.userId, {
onDelete: "set null"
}),
createdAt: integer("createdAt").notNull()
},
(t) => [
index("idx_ai_budget_breach_events_budget_created").on(
t.budgetId,
t.createdAt
)
]
);
// Logs the aggregated prompt + response for a single AI gateway request, for
// session replay. One row per request (not per streaming chunk). `sessionId`
// is a fresh random id per row for now - no cross-request correlation yet,
// but the column exists so a future pass can link multiple rows into a real
// multi-turn session.
export const aiSessionLog = sqliteTable(
"aiSessionLog",
{
id: integer("id").primaryKey({ autoIncrement: true }),
sessionId: text("sessionId").notNull(),
orgId: text("orgId").references(() => orgs.orgId, {
onDelete: "cascade"
}),
providerId: integer("providerId")
.notNull()
.references(() => aiProviders.providerId, { onDelete: "cascade" }),
capability: text("capability").notNull(),
resourceId: integer("resourceId").references(
() => resources.resourceId,
{ onDelete: "cascade" }
),
siteResourceId: integer("siteResourceId").references(
() => siteResources.siteResourceId,
{ onDelete: "cascade" }
),
userId: text("userId").references(() => users.userId, {
onDelete: "set null"
}),
requestedModel: text("requestedModel"),
isStream: integer("isStream", { mode: "boolean" })
.notNull()
.default(false),
requestBody: text("requestBody"),
responseBody: text("responseBody"),
// Capability-agnostic message transcript (JSON-encoded
// NormalizedAiMessage[] from server/lib/aiMessageNormalization.ts),
// computed at write time so search/display never need per-capability
// parsing logic. Null when normalization couldn't recognize the
// shape - callers fall back to requestBody/responseBody.
normalizedRequest: text("normalizedRequest"),
normalizedResponse: text("normalizedResponse"),
// True if any of the request/response (raw or normalized) fields
// were cut short at AI_SESSION_LOG_MAX_BODY_CHARS before storage.
truncated: integer("truncated", { mode: "boolean" })
.notNull()
.default(false),
statusCode: integer("statusCode"),
createdAt: integer("createdAt").notNull() // epoch ms
},
(t) => [
index("idx_ai_session_log_org_created").on(t.orgId, t.createdAt),
index("idx_ai_session_log_org_provider_created").on(
t.orgId,
t.providerId,
t.createdAt
),
index("idx_ai_session_log_org_resource_created").on(
t.orgId,
t.resourceId,
t.createdAt
),
index("idx_ai_session_log_org_site_resource_created").on(
t.orgId,
t.siteResourceId,
t.createdAt
),
index("idx_ai_session_log_org_user_created").on(
t.orgId,
t.userId,
t.createdAt
),
index("idx_ai_session_log_session").on(t.sessionId)
]
);
export type Org = InferSelectModel<typeof orgs>;
export type User = InferSelectModel<typeof users>;
export type Site = InferSelectModel<typeof sites>;
@@ -1577,6 +2028,10 @@ export type Idp = InferSelectModel<typeof idp>;
export type ApiKey = InferSelectModel<typeof apiKeys>;
export type ApiKeyAction = InferSelectModel<typeof apiKeyActions>;
export type ApiKeyOrg = InferSelectModel<typeof apiKeyOrg>;
export type VirtualApiKey = InferSelectModel<typeof virtualApiKeys>;
export type VirtualApiKeyResource = InferSelectModel<
typeof virtualApiKeyResources
>;
export type SiteResource = InferSelectModel<typeof siteResources>;
export type Network = InferSelectModel<typeof networks>;
export type OrgDomains = InferSelectModel<typeof orgDomains>;
@@ -1608,3 +2063,15 @@ export type ResourcePolicyHeaderAuth = InferSelectModel<
>;
export type RolePolicy = InferSelectModel<typeof rolePolicies>;
export type UserPolicy = InferSelectModel<typeof userPolicies>;
export type AiProvider = InferSelectModel<typeof aiProviders>;
export type AiModel = InferSelectModel<typeof aiModels>;
export type AiBudget = InferSelectModel<typeof aiBudgets>;
export type AiUsageRecord = InferSelectModel<typeof aiUsageRecords>;
export type AiBudgetBreachEvent = InferSelectModel<typeof aiBudgetBreachEvents>;
export type AiSessionLog = InferSelectModel<typeof aiSessionLog>;
export type ResourceAiProvider = InferSelectModel<typeof resourceAiProviders>;
export type SiteResourceAiProvider = InferSelectModel<
typeof siteResourceAiProviders
>;
export type ResourceAiModel = InferSelectModel<typeof resourceAiModels>;
export type SiteResourceAiModel = InferSelectModel<typeof siteResourceAiModels>;
+14 -1
View File
@@ -5,15 +5,20 @@ import { runSetupFunctions } from "./setup";
import { createApiServer } from "./apiServer";
import { createNextServer } from "./nextServer";
import { createInternalServer } from "./internalServer";
import { createAiGatewayServer } from "./aiGatewayServer";
import { createIntegrationApiServer } from "./integrationApiServer";
import {
ApiKey,
ApiKeyOrg,
AiBudget,
AiModel,
AiProvider,
RemoteExitNode,
Session,
SiteResource,
User,
UserOrg
UserOrg,
VirtualApiKey
} from "@server/db";
import config from "@server/lib/config";
import { setHostMeta } from "@server/lib/hostMeta";
@@ -25,6 +30,7 @@ import { initLogCleanupInterval } from "@server/lib/cleanupLogs";
import { initAcmeCertSync } from "#dynamic/lib/acmeCertSync";
import { fetchServerIp } from "@server/lib/serverIpService";
import { startRebuildQueueProcessor } from "@server/lib/rebuildClientAssociations";
import { initAiModelCatalog } from "@server/lib/aiModelCatalog";
async function startServers() {
await setHostMeta();
@@ -43,10 +49,12 @@ async function startServers() {
initLogCleanupInterval();
initAcmeCertSync();
startRebuildQueueProcessor();
await initAiModelCatalog();
// Start all servers
const apiServer = createApiServer();
const internalServer = createInternalServer();
const aiGatewayServer = createAiGatewayServer();
const nextServer = await createNextServer();
if (config.getRawConfig().traefik.file_mode) {
@@ -65,6 +73,7 @@ async function startServers() {
apiServer,
nextServer,
internalServer,
aiGatewayServer,
integrationServer
};
}
@@ -83,6 +92,10 @@ declare global {
userOrgIds?: string[];
remoteExitNode?: RemoteExitNode;
siteResource?: SiteResource;
aiProvider?: AiProvider;
aiModel?: AiModel;
aiBudget?: AiBudget;
virtualApiKey?: VirtualApiKey;
orgPolicyAllowed?: boolean;
}
}
+571
View File
@@ -0,0 +1,571 @@
import { and, eq, gte, inArray, isNull, or, sql, SQL, type InferInsertModel } from "drizzle-orm";
import {
AiBudget,
aiBudgetBreachEvents,
aiBudgets,
aiModels,
aiUsageRecords,
db,
userOrgRoles
} from "@server/db";
import { modelKeyMatches } from "@server/lib/aiModelKeyMatch";
import type { AiUsage } from "@server/lib/aiUsageExtraction";
import { regionalCache as cache } from "#dynamic/lib/cache";
import logger from "@server/logger";
type BudgetPeriod = AiBudget["period"];
const PERIOD_DURATIONS_MS: Record<Exclude<BudgetPeriod, "lifetime">, number> = {
hourly: 60 * 60 * 1000,
daily: 24 * 60 * 60 * 1000,
weekly: 7 * 24 * 60 * 60 * 1000,
monthly: 30 * 24 * 60 * 60 * 1000,
yearly: 365 * 24 * 60 * 60 * 1000
};
// Budgets are cheap to be a little stale about (enforcement is already
// check-then-act, not transactional). Re-derive each budget's usage sum
// from aiUsageRecords at most this often; in between, completed requests
// just add their own contribution onto the cached sum instead of
// re-querying/re-aggregating from scratch.
const BUDGET_CACHE_REFRESH_MS = 8_000;
// Redis-level TTL is only a safety net for eviction if a budget stops
// seeing traffic - the actual staleness check is the computedAt timestamp
// stored in the cached value, compared against BUDGET_CACHE_REFRESH_MS.
const BUDGET_CACHE_SAFETY_TTL_SEC = 60;
function applicableBudgetsCacheKey(ctx: BudgetScopeContext): string {
const roleKey = [...ctx.roleIds].sort((a, b) => a - b).join(",");
return [
"aiBudget:applicable",
ctx.orgId,
ctx.providerId,
ctx.requestedModel,
ctx.resourceId ?? "",
ctx.siteResourceId ?? "",
roleKey
].join(":");
}
function budgetUsageCacheKey(budgetId: number): string {
return `aiBudget:usage:${budgetId}`;
}
type CachedBudgetUsage = {
sum: number;
computedAt: number;
};
// Budget periods are trailing windows from "now", not calendar-aligned
// (e.g. "daily" = last 24h). "lifetime" has no lower bound.
function windowStart(period: BudgetPeriod, now: number): number {
if (period === "lifetime") {
return 0;
}
return now - PERIOD_DURATIONS_MS[period];
}
export type BudgetScopeContext = {
orgId: string;
providerId: number;
requestedModel: string;
resourceId: number | null;
siteResourceId: number | null;
roleIds: number[];
requestUserId: string | null;
};
/**
* Every budget that could apply to this request: the provider itself, any
* model on that provider whose (possibly wildcarded) modelKey matches the
* requested model, the target resource/site-resource, and any role the
* requesting user holds in the org. Cached for BUDGET_CACHE_REFRESH_MS since
* budget/model config changes are rare and a request-scoped org/provider/
* model/resource/role combination repeats constantly under real traffic.
*/
export async function resolveApplicableBudgets(
ctx: BudgetScopeContext
): Promise<AiBudget[]> {
const cacheKey = applicableBudgetsCacheKey(ctx);
const cached = await cache.get<AiBudget[]>(cacheKey);
if (cached !== undefined) {
return cached;
}
const budgets = await fetchApplicableBudgets(ctx);
await cache.set(cacheKey, budgets, BUDGET_CACHE_REFRESH_MS / 1000);
return budgets;
}
async function fetchApplicableBudgets(
ctx: BudgetScopeContext
): Promise<AiBudget[]> {
const providerModels = await db
.select({ modelId: aiModels.modelId, modelKey: aiModels.modelKey })
.from(aiModels)
.where(
and(
eq(aiModels.providerId, ctx.providerId),
eq(aiModels.enabled, true)
)
);
const matchingModelIds = providerModels
.filter((m) => modelKeyMatches(m.modelKey, ctx.requestedModel))
.map((m) => m.modelId);
const scopeConditions: SQL[] = [
and(
eq(aiBudgets.providerId, ctx.providerId),
isNull(aiBudgets.modelId)
)!
];
if (matchingModelIds.length > 0) {
scopeConditions.push(inArray(aiBudgets.modelId, matchingModelIds));
}
if (ctx.resourceId != null) {
scopeConditions.push(eq(aiBudgets.resourceId, ctx.resourceId));
}
if (ctx.siteResourceId != null) {
scopeConditions.push(eq(aiBudgets.siteResourceId, ctx.siteResourceId));
}
if (ctx.roleIds.length > 0) {
scopeConditions.push(inArray(aiBudgets.roleId, ctx.roleIds));
}
return db
.select()
.from(aiBudgets)
.where(
and(
eq(aiBudgets.orgId, ctx.orgId),
eq(aiBudgets.enabled, true),
or(...scopeConditions)
)
);
}
async function sumUsageAmount(
where: SQL,
unit: AiBudget["unit"]
): Promise<number> {
const column =
unit === "usd" ? aiUsageRecords.costUsd : aiUsageRecords.totalTokens;
const [row] = await db
.select({ total: sql<number>`coalesce(sum(${column}), 0)` })
.from(aiUsageRecords)
.where(where);
return Number(row?.total ?? 0);
}
/**
* Sums recorded usage for a single budget's scope + rolling window. Model
* budgets can't be pushed down to SQL because the model's key may itself be
* a glob, so those rows are fetched for the provider+window and matched in
* JS the same way access-control matching does.
*/
export async function sumUsageForBudget(
budget: AiBudget,
ctx: BudgetScopeContext,
now: number
): Promise<number> {
const start = windowStart(budget.period, now);
if (budget.modelId != null) {
const [model] = await db
.select({
providerId: aiModels.providerId,
modelKey: aiModels.modelKey
})
.from(aiModels)
.where(eq(aiModels.modelId, budget.modelId))
.limit(1);
if (!model) {
return 0;
}
const rows = await db
.select({
requestedModel: aiUsageRecords.requestedModel,
costUsd: aiUsageRecords.costUsd,
totalTokens: aiUsageRecords.totalTokens
})
.from(aiUsageRecords)
.where(
and(
eq(aiUsageRecords.orgId, ctx.orgId),
eq(aiUsageRecords.providerId, model.providerId),
gte(aiUsageRecords.createdAt, start)
)
);
return rows
.filter((r) => modelKeyMatches(model.modelKey, r.requestedModel))
.reduce(
(sum, r) =>
sum +
(budget.unit === "usd" ? (r.costUsd ?? 0) : r.totalTokens),
0
);
}
if (budget.providerId != null) {
return sumUsageAmount(
and(
eq(aiUsageRecords.orgId, ctx.orgId),
eq(aiUsageRecords.providerId, budget.providerId),
gte(aiUsageRecords.createdAt, start)
)!,
budget.unit
);
}
if (budget.resourceId != null) {
return sumUsageAmount(
and(
eq(aiUsageRecords.orgId, ctx.orgId),
eq(aiUsageRecords.resourceId, budget.resourceId),
gte(aiUsageRecords.createdAt, start)
)!,
budget.unit
);
}
if (budget.siteResourceId != null) {
return sumUsageAmount(
and(
eq(aiUsageRecords.orgId, ctx.orgId),
eq(aiUsageRecords.siteResourceId, budget.siteResourceId),
gte(aiUsageRecords.createdAt, start)
)!,
budget.unit
);
}
if (budget.roleId != null) {
const members = await db
.select({ userId: userOrgRoles.userId })
.from(userOrgRoles)
.where(
and(
eq(userOrgRoles.roleId, budget.roleId),
eq(userOrgRoles.orgId, ctx.orgId)
)
);
const userIds = members.map((m) => m.userId);
if (userIds.length === 0) {
return 0;
}
return sumUsageAmount(
and(
eq(aiUsageRecords.orgId, ctx.orgId),
inArray(aiUsageRecords.userId, userIds),
gte(aiUsageRecords.createdAt, start)
)!,
budget.unit
);
}
return 0;
}
/**
* Cached wrapper around sumUsageForBudget. Reuses a per-budget cached sum
* for up to BUDGET_CACHE_REFRESH_MS, and otherwise falls through to the DB
* aggregation and reseeds the cache. Completed requests within that window
* top the cached sum up via applyUsageToBudgetCache below rather than
* forcing a re-aggregation on every request.
*/
async function getBudgetUsage(
budget: AiBudget,
ctx: BudgetScopeContext,
now: number
): Promise<number> {
const cacheKey = budgetUsageCacheKey(budget.budgetId);
const cached = await cache.get<CachedBudgetUsage>(cacheKey);
if (cached && now - cached.computedAt < BUDGET_CACHE_REFRESH_MS) {
return cached.sum;
}
const sum = await sumUsageForBudget(budget, ctx, now);
await cache.set(
cacheKey,
{ sum, computedAt: now } satisfies CachedBudgetUsage,
BUDGET_CACHE_SAFETY_TTL_SEC
);
return sum;
}
/**
* Called once a request's actual usage is known, for every budget that was
* resolved as applicable to it (i.e. checkBudgets' returned `budgets`).
* Adds this request's contribution directly onto each budget's cached sum
* so the next request in the same refresh window doesn't need to re-query
* or re-aggregate. If there's no warm cache entry, or it's already due for
* a refresh, this is a no-op - the next reader re-derives from the DB,
* which by then already includes this request's row via recordUsage.
*/
export async function applyUsageToBudgetCache(
budgets: AiBudget[],
usage: { usd: number; tokens: number }
): Promise<void> {
await Promise.all(
budgets.map(async (budget) => {
const delta = budget.unit === "usd" ? usage.usd : usage.tokens;
if (!delta) {
return;
}
const cacheKey = budgetUsageCacheKey(budget.budgetId);
const cached = await cache.get<CachedBudgetUsage>(cacheKey);
if (
!cached ||
Date.now() - cached.computedAt >= BUDGET_CACHE_REFRESH_MS
) {
return;
}
await cache.set(
cacheKey,
{
sum: cached.sum + delta,
computedAt: cached.computedAt
} satisfies CachedBudgetUsage,
BUDGET_CACHE_SAFETY_TTL_SEC
);
})
);
}
// Throttled to one durable event per budget per breach window, so a soft
// budget being exceeded doesn't write a row on every subsequent request
// while it stays over.
async function recordBreachEventIfNew(
budget: AiBudget,
ctx: BudgetScopeContext,
usageAmount: number,
now: number
): Promise<void> {
try {
const start = windowStart(budget.period, now);
const [existing] = await db
.select({ id: aiBudgetBreachEvents.id })
.from(aiBudgetBreachEvents)
.where(
and(
eq(aiBudgetBreachEvents.budgetId, budget.budgetId),
gte(aiBudgetBreachEvents.createdAt, start)
)
)
.limit(1);
if (existing) {
return;
}
await db.insert(aiBudgetBreachEvents).values({
orgId: ctx.orgId,
budgetId: budget.budgetId,
enforcement: budget.enforcement,
unit: budget.unit,
period: budget.period,
amount: budget.amount,
usageAmount,
blocked: budget.enforcement === "hard",
requestUserId: ctx.requestUserId,
createdAt: now
});
} catch (error) {
logger.error("Failed to record AI budget breach event", {
error,
budgetId: budget.budgetId
});
}
}
export type BudgetCheckResult = {
blocked: boolean;
blockingBudget?: AiBudget;
// Every budget resolved as applicable to this request, regardless of
// whether it was breached - pass to applyUsageToBudgetCache once this
// request's actual usage is known.
budgets: AiBudget[];
};
export async function checkBudgets(
ctx: BudgetScopeContext
): Promise<BudgetCheckResult> {
const budgets = await resolveApplicableBudgets(ctx);
if (budgets.length === 0) {
return { blocked: false, budgets: [] };
}
const now = Date.now();
let blockingBudget: AiBudget | undefined;
for (const budget of budgets) {
const usage = await getBudgetUsage(budget, ctx, now);
if (usage < budget.amount) {
continue;
}
await recordBreachEventIfNew(budget, ctx, usage, now);
if (budget.enforcement === "hard" && !blockingBudget) {
blockingBudget = budget;
}
}
return blockingBudget
? { blocked: true, blockingBudget, budgets }
: { blocked: false, budgets };
}
export type UsageRecordInput = {
orgId: string;
providerId: number;
resourceId: number | null;
siteResourceId: number | null;
userId: string | null;
requestedModel: string;
usage: AiUsage;
costUsd: number | null;
createdAt?: number;
// Same id as the aiSessionLog row logged for this request, so the two
// can be joined to show token/cost usage alongside the session
// transcript. Undefined when the session wasn't logged (e.g. session
// log retention disabled for the org).
sessionId?: string;
};
type AiUsageRecordInsert = InferInsertModel<typeof aiUsageRecords>;
// In-memory buffer for batching AI usage record inserts, mirroring the
// approach in server/routers/badger/logRequestAudit.ts. Usage rows are read
// back on every budget-cache miss (see getBudgetUsage above), which happens
// at least every BUDGET_CACHE_REFRESH_MS, so this buffer is flushed much
// more aggressively than the request audit log to keep the table from
// lagging behind what budget enforcement needs. Unlike the audit log, there
// is no retention/cleanup job for this table - usage history is kept
// indefinitely for billing and historical reporting.
const usageRecordBuffer: AiUsageRecordInsert[] = [];
const USAGE_BATCH_SIZE = 20; // Write to DB every 20 records
const USAGE_BATCH_INTERVAL_MS = 1000; // Or every 1 second, whichever comes first
const USAGE_MAX_BUFFER_SIZE = 5000; // Prevent unbounded memory growth
let usageFlushTimer: NodeJS.Timeout | null = null;
let isUsageFlushInProgress = false;
async function flushUsageRecords() {
if (usageRecordBuffer.length === 0 || isUsageFlushInProgress) {
return;
}
isUsageFlushInProgress = true;
const recordsToWrite = usageRecordBuffer.splice(0, usageRecordBuffer.length);
try {
// Use a transaction to ensure all inserts succeed or fail together
await db.transaction(async (tx) => {
// Batch insert in groups to avoid overwhelming the database
const DB_BATCH_SIZE = 25;
for (let i = 0; i < recordsToWrite.length; i += DB_BATCH_SIZE) {
const batch = recordsToWrite.slice(i, i + DB_BATCH_SIZE);
await tx.insert(aiUsageRecords).values(batch);
}
});
logger.debug(`Flushed ${recordsToWrite.length} AI usage records to database`);
} catch (error) {
logger.error("Error flushing AI usage records:", error);
// On transaction error, put records back at the front of the buffer
// to retry, but only if the buffer isn't too large
if (usageRecordBuffer.length < USAGE_MAX_BUFFER_SIZE - recordsToWrite.length) {
usageRecordBuffer.unshift(...recordsToWrite);
logger.info(`Re-queued ${recordsToWrite.length} AI usage records for retry`);
} else {
logger.error(`Buffer full, dropped ${recordsToWrite.length} AI usage records`);
}
} finally {
isUsageFlushInProgress = false;
// If buffer filled up while we were flushing, flush again
if (usageRecordBuffer.length >= USAGE_BATCH_SIZE) {
flushUsageRecords().catch((err) =>
logger.error("Error in follow-up AI usage flush:", err)
);
}
}
}
function scheduleUsageFlush() {
if (usageFlushTimer === null) {
usageFlushTimer = setTimeout(() => {
usageFlushTimer = null;
flushUsageRecords().catch((err) =>
logger.error("Error in scheduled AI usage flush:", err)
);
}, USAGE_BATCH_INTERVAL_MS);
}
}
/**
* Gracefully flush all pending AI usage records (call this on shutdown).
*/
export async function shutdownUsageRecorder() {
if (usageFlushTimer) {
clearTimeout(usageFlushTimer);
usageFlushTimer = null;
}
// Force flush even if one is in progress by waiting and retrying
while (isUsageFlushInProgress) {
await new Promise((resolve) => setTimeout(resolve, 100));
}
await flushUsageRecords();
}
export async function recordUsage(input: UsageRecordInput): Promise<void> {
try {
const { usage } = input;
const totalTokens =
usage.promptTokens +
usage.cacheReadTokens +
usage.cacheWriteTokens +
usage.completionTokens +
usage.reasoningTokens;
// Prevent unbounded buffer growth - drop oldest entries if buffer is too large
if (usageRecordBuffer.length >= USAGE_MAX_BUFFER_SIZE) {
const dropped = usageRecordBuffer.splice(0, USAGE_BATCH_SIZE);
logger.warn(
`AI usage record buffer exceeded max size (${USAGE_MAX_BUFFER_SIZE}), dropped ${dropped.length} oldest entries`
);
}
usageRecordBuffer.push({
orgId: input.orgId,
providerId: input.providerId,
resourceId: input.resourceId,
siteResourceId: input.siteResourceId,
userId: input.userId,
sessionId: input.sessionId,
requestedModel: input.requestedModel,
promptTokens: usage.promptTokens,
cacheReadTokens: usage.cacheReadTokens,
cacheWriteTokens: usage.cacheWriteTokens,
completionTokens: usage.completionTokens,
reasoningTokens: usage.reasoningTokens,
totalTokens,
costUsd: input.costUsd,
estimated: usage.estimated,
createdAt: input.createdAt ?? Date.now()
});
// Flush immediately if buffer is full, otherwise schedule a flush
if (usageRecordBuffer.length >= USAGE_BATCH_SIZE) {
flushUsageRecords().catch((err) =>
logger.error("Error flushing AI usage records:", err)
);
} else {
scheduleUsageFlush();
}
} catch (error) {
logger.error("Failed to record AI usage", { error });
}
}
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import type { Request } from "express";
export const AI_CAPABILITIES = [
"openai_chat",
"openai_responses",
"anthropic_messages",
"gemini_generate_content",
"bedrock_model_invoke",
"google_generate_content",
"google_raw_predict",
"bedrock_converse"
] as const;
export type AiCapability = (typeof AI_CAPABILITIES)[number];
export type AiCapabilityRoute = {
method: "POST";
path: string;
};
export type AiCapabilityDefinition = {
id: AiCapability;
routes: AiCapabilityRoute[];
extractModel: (req: Request) => string | undefined;
resolveUpstreamUrl: (
baseUrl: string,
req: Request,
model: string
) => string;
isStreaming: (req: Request, contentType: string) => boolean;
};
function bodyModel(req: Request): string | undefined {
return typeof req.body?.model === "string" ? req.body.model : undefined;
}
function paramModel(req: Request): string | undefined {
const model = req.params?.model;
return typeof model === "string" && model.length > 0 ? model : undefined;
}
export function joinUpstreamUrl(baseUrl: string, path: string): string {
const base = baseUrl.replace(/\/+$/, "");
let suffix = path.startsWith("/") ? path : `/${path}`;
let basePathname = "/";
try {
basePathname = new URL(base).pathname.replace(/\/+$/, "") || "/";
} catch {
// Fall through with "/" non-absolute bases are not expected in
// production, but keep joining usable for malformed input.
}
if (basePathname !== "/") {
const baseSegs = basePathname.split("/").filter(Boolean);
const pathSegs = suffix.split("/").filter(Boolean);
const max = Math.min(baseSegs.length, pathSegs.length);
let overlap = 0;
for (let n = max; n >= 1; n--) {
const baseSuffix = baseSegs.slice(-n);
const pathPrefix = pathSegs.slice(0, n);
if (baseSuffix.every((seg, i) => seg === pathPrefix[i])) {
overlap = n;
break;
}
}
if (overlap > 0) {
const remaining = pathSegs.slice(overlap);
suffix = remaining.length > 0 ? `/${remaining.join("/")}` : "/";
}
}
if (suffix === "/") {
return base;
}
return `${base}${suffix}`;
}
function pathFromRequest(req: Request): string {
const raw = req.originalUrl || req.url || req.path;
return raw.startsWith("/") ? raw : `/${raw}`;
}
function bodyRequestsStream(req: Request): boolean {
return req.body?.stream === true;
}
function contentTypeIsSse(contentType: string): boolean {
return contentType.includes("text/event-stream");
}
function contentTypeIsAmazonEventStream(contentType: string): boolean {
return contentType.includes("application/vnd.amazon.eventstream");
}
function pathIncludes(req: Request, fragment: string): boolean {
return pathFromRequest(req).includes(fragment);
}
function isBodyOrSseStreaming(req: Request, contentType: string): boolean {
return bodyRequestsStream(req) || contentTypeIsSse(contentType);
}
function isGeminiStyleStreaming(req: Request, contentType: string): boolean {
return (
pathIncludes(req, "streamGenerateContent") ||
pathIncludes(req, "alt=sse") ||
contentTypeIsSse(contentType)
);
}
export const AI_CAPABILITY_DEFS: Record<AiCapability, AiCapabilityDefinition> =
{
openai_chat: {
id: "openai_chat",
routes: [
{ method: "POST", path: "/v1/chat/completions" },
{ method: "POST", path: "/chat/completions" }
],
extractModel: bodyModel,
resolveUpstreamUrl: (base, req) =>
joinUpstreamUrl(base, pathFromRequest(req)),
isStreaming: isBodyOrSseStreaming
},
openai_responses: {
id: "openai_responses",
routes: [{ method: "POST", path: "/v1/responses" }],
extractModel: bodyModel,
resolveUpstreamUrl: (base, req) =>
joinUpstreamUrl(base, pathFromRequest(req)),
isStreaming: isBodyOrSseStreaming
},
anthropic_messages: {
id: "anthropic_messages",
routes: [{ method: "POST", path: "/v1/messages" }],
extractModel: bodyModel,
resolveUpstreamUrl: (base, req) =>
joinUpstreamUrl(base, pathFromRequest(req)),
isStreaming: isBodyOrSseStreaming
},
gemini_generate_content: {
id: "gemini_generate_content",
routes: [
{
method: "POST",
path: "/v1beta/models/:model\\:generateContent"
},
{
method: "POST",
path: "/v1beta/models/:model\\:streamGenerateContent"
}
],
extractModel: paramModel,
resolveUpstreamUrl: (base, req) =>
joinUpstreamUrl(base, pathFromRequest(req)),
isStreaming: isGeminiStyleStreaming
},
google_generate_content: {
id: "google_generate_content",
routes: [
{
method: "POST",
// Vertex publisher model generateContent
path: "/v1/projects/:project/locations/:location/publishers/:publisher/models/:model\\:generateContent"
},
{
method: "POST",
path: "/v1/projects/:project/locations/:location/publishers/:publisher/models/:model\\:streamGenerateContent"
}
],
extractModel: paramModel,
resolveUpstreamUrl: (base, req) =>
joinUpstreamUrl(base, pathFromRequest(req)),
isStreaming: isGeminiStyleStreaming
},
google_raw_predict: {
id: "google_raw_predict",
routes: [
{
method: "POST",
path: "/v1/projects/:project/locations/:location/publishers/:publisher/models/:model\\:rawPredict"
},
{
method: "POST",
path: "/v1/projects/:project/locations/:location/publishers/:publisher/models/:model\\:streamRawPredict"
}
],
extractModel: paramModel,
resolveUpstreamUrl: (base, req) =>
joinUpstreamUrl(base, pathFromRequest(req)),
isStreaming: (req, contentType) =>
pathIncludes(req, "streamRawPredict") ||
pathIncludes(req, "alt=sse") ||
contentTypeIsSse(contentType)
},
bedrock_model_invoke: {
id: "bedrock_model_invoke",
routes: [
{ method: "POST", path: "/model/:model/invoke" },
{
method: "POST",
path: "/model/:model/invoke-with-response-stream"
}
],
extractModel: paramModel,
resolveUpstreamUrl: (base, req) =>
joinUpstreamUrl(base, pathFromRequest(req)),
isStreaming: (req, contentType) =>
pathIncludes(req, "invoke-with-response-stream") ||
contentTypeIsAmazonEventStream(contentType) ||
contentTypeIsSse(contentType)
},
bedrock_converse: {
id: "bedrock_converse",
routes: [
{ method: "POST", path: "/model/:model/converse" },
{ method: "POST", path: "/model/:model/converse-stream" }
],
extractModel: paramModel,
resolveUpstreamUrl: (base, req) =>
joinUpstreamUrl(base, pathFromRequest(req)),
isStreaming: (req, contentType) =>
pathIncludes(req, "converse-stream") ||
contentTypeIsAmazonEventStream(contentType) ||
contentTypeIsSse(contentType)
}
};
export function isAiCapability(value: unknown): value is AiCapability {
return (
typeof value === "string" &&
(AI_CAPABILITIES as readonly string[]).includes(value)
);
}
export function parseCapabilities(raw: unknown): AiCapability[] {
if (raw == null) {
return [];
}
let parsed: unknown = raw;
if (typeof raw === "string") {
const trimmed = raw.trim();
if (!trimmed) {
return [];
}
try {
parsed = JSON.parse(trimmed);
} catch {
return [];
}
}
if (!Array.isArray(parsed)) {
return [];
}
const out: AiCapability[] = [];
const seen = new Set<AiCapability>();
for (const item of parsed) {
if (isAiCapability(item) && !seen.has(item)) {
seen.add(item);
out.push(item);
}
}
return out;
}
export function serializeCapabilities(capabilities: AiCapability[]): string {
return JSON.stringify(capabilities);
}
export function providerHasCapability(
capabilities: AiCapability[] | string | null | undefined,
capability: AiCapability
): boolean {
const list =
typeof capabilities === "string" || capabilities == null
? parseCapabilities(capabilities)
: capabilities;
return list.includes(capability);
}
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import http from "node:http";
import https from "node:https";
import { Readable } from "node:stream";
type UpstreamFetchInit = {
method: string;
headers: Record<string, string>;
body?: string;
skipTlsVerification?: boolean;
signal?: AbortSignal;
};
const insecureHttpsAgent = new https.Agent({
rejectUnauthorized: false,
keepAlive: true
});
export function aiGatewayUpstreamFetch(
url: string,
init: UpstreamFetchInit
): Promise<Response> {
const parsed = new URL(url);
const isHttps = parsed.protocol === "https:";
const lib = isHttps ? https : http;
const agent =
isHttps && init.skipTlsVerification ? insecureHttpsAgent : undefined;
return new Promise((resolve, reject) => {
if (init.signal?.aborted) {
reject(init.signal.reason ?? new Error("Request aborted"));
return;
}
const req = lib.request(
url,
{
method: init.method,
headers: init.headers,
agent
},
(res) => {
const headers = new Headers();
for (const [key, value] of Object.entries(res.headers)) {
if (value === undefined) {
continue;
}
if (Array.isArray(value)) {
for (const entry of value) {
headers.append(key, entry);
}
} else {
headers.set(key, value);
}
}
const body = Readable.toWeb(res) as ReadableStream<Uint8Array>;
resolve(
new Response(body, {
status: res.statusCode ?? 502,
statusText: res.statusMessage,
headers
})
);
}
);
req.on("error", reject);
if (init.signal) {
const onAbort = () => req.destroy(init.signal!.reason);
init.signal.addEventListener("abort", onAbort, { once: true });
req.on("close", () =>
init.signal!.removeEventListener("abort", onAbort)
);
}
if (init.body !== undefined) {
req.write(init.body);
}
req.end();
});
}
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import { and, eq, inArray } from "drizzle-orm";
import {
aiModels,
aiProviders,
db,
resourceAiModels,
resourceAiProviders,
siteResourceAiModels,
siteResourceAiProviders,
type Transaction
} from "@server/db";
import { z } from "zod";
type DbOrTrx = Transaction | typeof db;
export const modelListTypeSchema = z.enum(["allow", "block"]);
export type ModelListType = z.infer<typeof modelListTypeSchema>;
export const accessModeSchema = z.enum(["inherit", "select"]);
export type AccessMode = z.infer<typeof accessModeSchema>;
export const resourceAiProviderAttachmentSchema = z.strictObject({
providerId: z.number().int().positive(),
accessMode: accessModeSchema.optional().default("inherit"),
enabled: z.boolean().optional().default(true)
});
export type ResourceAiProviderInput = z.infer<
typeof resourceAiProviderAttachmentSchema
>;
export type ResourceAiProviderAttachment = {
providerId: number;
accessMode: AccessMode;
enabled: boolean;
};
export const resourceAiModelEntrySchema = z.strictObject({
modelId: z.number().int().positive(),
listType: modelListTypeSchema
});
export type ResourceAiModelEntry = z.infer<typeof resourceAiModelEntrySchema>;
export type InferenceFieldsError = {
error: string;
};
export function isInferenceFieldsError(
value: { error: string } | object
): value is InferenceFieldsError {
return "error" in value;
}
/**
* Resolve which allow/block patterns apply for an attachment.
* inherit provider lists; select resource-selected lists (replace).
*/
export function resolveEffectiveLists(input: {
accessMode: AccessMode;
providerAllows: string[];
providerBlocks: string[];
resourceAllows: string[];
resourceBlocks: string[];
}): { allows: string[]; blocks: string[] } {
if (input.accessMode === "select") {
return {
allows: input.resourceAllows,
blocks: input.resourceBlocks
};
}
return {
allows: input.providerAllows,
blocks: input.providerBlocks
};
}
function normalizeAttachments(
inputs: ResourceAiProviderInput[]
): ResourceAiProviderAttachment[] {
const byProviderId = new Map<
number,
{ accessMode: AccessMode; enabled: boolean }
>();
for (const input of inputs) {
byProviderId.set(input.providerId, {
accessMode: input.accessMode ?? "inherit",
enabled: input.enabled ?? true
});
}
return [...byProviderId.entries()].map(
([providerId, { accessMode, enabled }]) => ({
providerId,
accessMode,
enabled
})
);
}
/**
* Validate provider attachments for an org.
*/
export async function resolveProviderAttachments(input: {
orgId: string;
attachments: ResourceAiProviderInput[];
requireAtLeastOne: boolean;
}): Promise<ResourceAiProviderAttachment[] | InferenceFieldsError> {
const attachments = normalizeAttachments(input.attachments);
if (input.requireAtLeastOne && attachments.length === 0) {
return {
error: "At least one AI provider is required for inference-mode resources"
};
}
if (attachments.length === 0) {
return [];
}
const providerIds = attachments.map((a) => a.providerId);
const providers = await db
.select({
providerId: aiProviders.providerId,
orgId: aiProviders.orgId,
enabled: aiProviders.enabled
})
.from(aiProviders)
.where(
and(
inArray(aiProviders.providerId, providerIds),
eq(aiProviders.orgId, input.orgId)
)
);
if (providers.length !== providerIds.length) {
return {
error: "One or more AI providers were not found in this organization"
};
}
const disabled = providers.find((p) => !p.enabled);
if (disabled) {
return {
error: `AI provider with ID ${disabled.providerId} is disabled`
};
}
return attachments;
}
export async function assertInferenceModeAllowsProviderFields(input: {
mode: string;
hasProviderAttachments: boolean;
}): Promise<InferenceFieldsError | null> {
if (input.mode === "inference") {
return null;
}
if (input.hasProviderAttachments) {
return {
error: "AI providers can only be attached to inference-mode resources"
};
}
return null;
}
/**
* Attach providers to a resource. Inherit attachments use the provider lists
* as-is (resource model rows for those providers are pruned). Select
* attachments keep resource-selected allow/block subsets.
*/
export async function setPublicResourceAiProviders(
resourceId: number,
attachments: ResourceAiProviderAttachment[],
trx: DbOrTrx = db
): Promise<void> {
await trx
.delete(resourceAiProviders)
.where(eq(resourceAiProviders.resourceId, resourceId));
if (attachments.length > 0) {
await trx.insert(resourceAiProviders).values(
attachments.map((a) => ({
resourceId,
providerId: a.providerId,
accessMode: a.accessMode,
enabled: a.enabled
}))
);
}
await prunePublicResourceModelsToSelectProviders(
resourceId,
attachments,
trx
);
}
export async function setSiteResourceAiProviders(
siteResourceId: number,
attachments: ResourceAiProviderAttachment[],
trx: DbOrTrx = db
): Promise<void> {
await trx
.delete(siteResourceAiProviders)
.where(eq(siteResourceAiProviders.siteResourceId, siteResourceId));
if (attachments.length > 0) {
await trx.insert(siteResourceAiProviders).values(
attachments.map((a) => ({
siteResourceId,
providerId: a.providerId,
accessMode: a.accessMode,
enabled: a.enabled
}))
);
}
await pruneSiteResourceModelsToSelectProviders(
siteResourceId,
attachments,
trx
);
}
/**
* Keep resource model rows only for providers in select mode.
*/
async function prunePublicResourceModelsToSelectProviders(
resourceId: number,
attachments: ResourceAiProviderAttachment[],
trx: DbOrTrx
): Promise<void> {
const selectProviderIds = attachments
.filter((a) => a.accessMode === "select")
.map((a) => a.providerId);
if (selectProviderIds.length === 0) {
await trx
.delete(resourceAiModels)
.where(eq(resourceAiModels.resourceId, resourceId));
return;
}
const existing = await trx
.select({
modelId: resourceAiModels.modelId,
providerId: aiModels.providerId
})
.from(resourceAiModels)
.innerJoin(aiModels, eq(resourceAiModels.modelId, aiModels.modelId))
.where(eq(resourceAiModels.resourceId, resourceId));
const allowed = new Set(selectProviderIds);
const toRemove = existing
.filter((row) => !allowed.has(row.providerId))
.map((row) => row.modelId);
if (toRemove.length > 0) {
await trx
.delete(resourceAiModels)
.where(
and(
eq(resourceAiModels.resourceId, resourceId),
inArray(resourceAiModels.modelId, toRemove)
)
);
}
}
async function pruneSiteResourceModelsToSelectProviders(
siteResourceId: number,
attachments: ResourceAiProviderAttachment[],
trx: DbOrTrx
): Promise<void> {
const selectProviderIds = attachments
.filter((a) => a.accessMode === "select")
.map((a) => a.providerId);
if (selectProviderIds.length === 0) {
await trx
.delete(siteResourceAiModels)
.where(eq(siteResourceAiModels.siteResourceId, siteResourceId));
return;
}
const existing = await trx
.select({
modelId: siteResourceAiModels.modelId,
providerId: aiModels.providerId
})
.from(siteResourceAiModels)
.innerJoin(aiModels, eq(siteResourceAiModels.modelId, aiModels.modelId))
.where(eq(siteResourceAiModels.siteResourceId, siteResourceId));
const allowed = new Set(selectProviderIds);
const toRemove = existing
.filter((row) => !allowed.has(row.providerId))
.map((row) => row.modelId);
if (toRemove.length > 0) {
await trx
.delete(siteResourceAiModels)
.where(
and(
eq(siteResourceAiModels.siteResourceId, siteResourceId),
inArray(siteResourceAiModels.modelId, toRemove)
)
);
}
}
export async function clearPublicResourceAiConfig(
resourceId: number,
trx: DbOrTrx = db
): Promise<void> {
await trx
.delete(resourceAiModels)
.where(eq(resourceAiModels.resourceId, resourceId));
await trx
.delete(resourceAiProviders)
.where(eq(resourceAiProviders.resourceId, resourceId));
}
export async function clearSiteResourceAiConfig(
siteResourceId: number,
trx: DbOrTrx = db
): Promise<void> {
await trx
.delete(siteResourceAiModels)
.where(eq(siteResourceAiModels.siteResourceId, siteResourceId));
await trx
.delete(siteResourceAiProviders)
.where(eq(siteResourceAiProviders.siteResourceId, siteResourceId));
}
export async function listPublicResourceAiProviders(resourceId: number) {
return db
.select({
providerId: resourceAiProviders.providerId,
name: aiProviders.name,
type: aiProviders.type,
enabled: resourceAiProviders.enabled,
providerEnabled: aiProviders.enabled,
accessMode: resourceAiProviders.accessMode
})
.from(resourceAiProviders)
.innerJoin(
aiProviders,
eq(resourceAiProviders.providerId, aiProviders.providerId)
)
.where(eq(resourceAiProviders.resourceId, resourceId));
}
export async function listSiteResourceAiProviders(siteResourceId: number) {
return db
.select({
providerId: siteResourceAiProviders.providerId,
name: aiProviders.name,
type: aiProviders.type,
enabled: siteResourceAiProviders.enabled,
providerEnabled: aiProviders.enabled,
accessMode: siteResourceAiProviders.accessMode
})
.from(siteResourceAiProviders)
.innerJoin(
aiProviders,
eq(siteResourceAiProviders.providerId, aiProviders.providerId)
)
.where(eq(siteResourceAiProviders.siteResourceId, siteResourceId));
}
export type EffectiveAllowModel = {
modelId: number;
modelKey: string;
name: string;
providerId: number;
providerName: string;
};
export async function listEffectiveAllowModels(options: {
resourceId?: number;
siteResourceId?: number;
}): Promise<EffectiveAllowModel[]> {
if (
options.resourceId === undefined &&
options.siteResourceId === undefined
) {
return [];
}
const attachments =
options.resourceId !== undefined
? await listPublicResourceAiProviders(options.resourceId)
: await listSiteResourceAiProviders(options.siteResourceId!);
const activeAttachments = attachments.filter(
(a) => a.enabled && a.providerEnabled
);
if (activeAttachments.length === 0) {
return [];
}
const inheritProviderIds = activeAttachments
.filter((a) => a.accessMode === "inherit")
.map((a) => a.providerId);
const selectProviderIds = activeAttachments
.filter((a) => a.accessMode === "select")
.map((a) => a.providerId);
const providerNameById = new Map(
activeAttachments.map((a) => [a.providerId, a.name] as const)
);
const models: EffectiveAllowModel[] = [];
if (inheritProviderIds.length > 0) {
const rows = await db
.select({
modelId: aiModels.modelId,
modelKey: aiModels.modelKey,
name: aiModels.name,
providerId: aiModels.providerId
})
.from(aiModels)
.where(
and(
inArray(aiModels.providerId, inheritProviderIds),
eq(aiModels.enabled, true),
eq(aiModels.listType, "allow")
)
);
for (const row of rows) {
models.push({
...row,
providerName: providerNameById.get(row.providerId) ?? ""
});
}
}
if (selectProviderIds.length > 0) {
if (options.resourceId !== undefined) {
const rows = await db
.select({
modelId: aiModels.modelId,
modelKey: aiModels.modelKey,
name: aiModels.name,
providerId: aiModels.providerId
})
.from(resourceAiModels)
.innerJoin(
aiModels,
eq(resourceAiModels.modelId, aiModels.modelId)
)
.where(
and(
eq(resourceAiModels.resourceId, options.resourceId),
inArray(aiModels.providerId, selectProviderIds),
eq(resourceAiModels.listType, "allow"),
eq(aiModels.enabled, true)
)
);
for (const row of rows) {
models.push({
...row,
providerName: providerNameById.get(row.providerId) ?? ""
});
}
} else if (options.siteResourceId !== undefined) {
const rows = await db
.select({
modelId: aiModels.modelId,
modelKey: aiModels.modelKey,
name: aiModels.name,
providerId: aiModels.providerId
})
.from(siteResourceAiModels)
.innerJoin(
aiModels,
eq(siteResourceAiModels.modelId, aiModels.modelId)
)
.where(
and(
eq(
siteResourceAiModels.siteResourceId,
options.siteResourceId
),
inArray(aiModels.providerId, selectProviderIds),
eq(siteResourceAiModels.listType, "allow"),
eq(aiModels.enabled, true)
)
);
for (const row of rows) {
models.push({
...row,
providerName: providerNameById.get(row.providerId) ?? ""
});
}
}
}
models.sort((a, b) => {
const byProvider = a.providerName.localeCompare(
b.providerName,
undefined,
{
sensitivity: "base"
}
);
if (byProvider !== 0) {
return byProvider;
}
return a.name.localeCompare(b.name, undefined, { sensitivity: "base" });
});
return models;
}
/**
* Model list APIs require an inference resource with at least one select-mode
* attached provider.
*/
export async function assertPublicModelListApiEligible(resource: {
resourceId: number;
mode: string;
}): Promise<string | null> {
if (resource.mode !== "inference") {
return "AI model lists are only supported on inference-mode resources";
}
const [row] = await db
.select({ providerId: resourceAiProviders.providerId })
.from(resourceAiProviders)
.where(
and(
eq(resourceAiProviders.resourceId, resource.resourceId),
eq(resourceAiProviders.accessMode, "select")
)
)
.limit(1);
if (!row) {
return "Set at least one attached AI provider to select mode before managing model lists";
}
return null;
}
export async function assertSiteModelListApiEligible(siteResource: {
siteResourceId: number;
mode: string;
}): Promise<string | null> {
if (siteResource.mode !== "inference") {
return "AI model lists are only supported on inference-mode resources";
}
const [row] = await db
.select({ providerId: siteResourceAiProviders.providerId })
.from(siteResourceAiProviders)
.where(
and(
eq(
siteResourceAiProviders.siteResourceId,
siteResource.siteResourceId
),
eq(siteResourceAiProviders.accessMode, "select")
)
)
.limit(1);
if (!row) {
return "Set at least one attached AI provider to select mode before managing model lists";
}
return null;
}
/**
* Resource model entries must belong to select-mode attached providers, and
* listType must match the provider catalog entry (allowallow, blockblock).
*/
export async function assertPublicResourceModelEntriesValid(input: {
orgId: string;
resourceId: number;
models: ResourceAiModelEntry[];
}): Promise<string | null> {
const uniqueModels = dedupeModelEntries(input.models);
if (uniqueModels.length === 0) {
return null;
}
const attachments = await db
.select({
providerId: resourceAiProviders.providerId,
accessMode: resourceAiProviders.accessMode,
enabled: resourceAiProviders.enabled
})
.from(resourceAiProviders)
.innerJoin(
aiProviders,
eq(resourceAiProviders.providerId, aiProviders.providerId)
)
.where(
and(
eq(resourceAiProviders.resourceId, input.resourceId),
eq(aiProviders.orgId, input.orgId)
)
);
return assertModelEntriesValid({
orgId: input.orgId,
modelEntries: uniqueModels,
attachments,
resourceLabel: "resource"
});
}
export async function assertSiteResourceModelEntriesValid(input: {
orgId: string;
siteResourceId: number;
models: ResourceAiModelEntry[];
}): Promise<string | null> {
const uniqueModels = dedupeModelEntries(input.models);
if (uniqueModels.length === 0) {
return null;
}
const attachments = await db
.select({
providerId: siteResourceAiProviders.providerId,
accessMode: siteResourceAiProviders.accessMode,
enabled: siteResourceAiProviders.enabled
})
.from(siteResourceAiProviders)
.innerJoin(
aiProviders,
eq(siteResourceAiProviders.providerId, aiProviders.providerId)
)
.where(
and(
eq(
siteResourceAiProviders.siteResourceId,
input.siteResourceId
),
eq(aiProviders.orgId, input.orgId)
)
);
return assertModelEntriesValid({
orgId: input.orgId,
modelEntries: uniqueModels,
attachments,
resourceLabel: "site resource"
});
}
function dedupeModelEntries(
models: ResourceAiModelEntry[]
): ResourceAiModelEntry[] {
const byModelId = new Map(
models.map((m) => [m.modelId, m.listType] as const)
);
return [...byModelId.entries()].map(([modelId, listType]) => ({
modelId,
listType
}));
}
async function assertModelEntriesValid(input: {
orgId: string;
modelEntries: ResourceAiModelEntry[];
attachments: ResourceAiProviderAttachment[];
resourceLabel: string;
}): Promise<string | null> {
const selectProviderIds = input.attachments
.filter((a) => a.accessMode === "select")
.map((a) => a.providerId);
if (selectProviderIds.length === 0) {
return "Set at least one attached AI provider to select mode before managing model lists";
}
const modelIds = input.modelEntries.map((m) => m.modelId);
const catalogRows = await db
.select({
modelId: aiModels.modelId,
listType: aiModels.listType,
providerId: aiModels.providerId,
enabled: aiModels.enabled
})
.from(aiModels)
.innerJoin(aiProviders, eq(aiModels.providerId, aiProviders.providerId))
.where(
and(
inArray(aiModels.modelId, modelIds),
inArray(aiModels.providerId, selectProviderIds),
eq(aiProviders.orgId, input.orgId)
)
);
if (catalogRows.length !== modelIds.length) {
return `One or more model IDs do not exist or do not belong to a select-mode provider on this ${input.resourceLabel}`;
}
const catalogById = new Map(catalogRows.map((row) => [row.modelId, row]));
for (const entry of input.modelEntries) {
const catalog = catalogById.get(entry.modelId);
if (!catalog) {
return `One or more model IDs do not exist or do not belong to a select-mode provider on this ${input.resourceLabel}`;
}
if (catalog.listType !== entry.listType) {
return `Model ${entry.modelId} must use listType "${catalog.listType}" to match the provider catalog entry`;
}
if (!catalog.enabled) {
return `Model ${entry.modelId} is disabled on its provider`;
}
}
return null;
}
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@@ -0,0 +1,538 @@
import type { AiCapability } from "@server/lib/aiCapabilities";
import { sseDataFrames, tryParseJson } from "@server/lib/aiUsageExtraction";
import logger from "@server/logger";
// Uniform, capability-agnostic representation of a chat message, used so
// the AI session log can be searched/displayed the same way regardless of
// which provider/capability produced it. Content is flattened to plain text
// - non-text parts (images, tool calls/results) are rendered as readable
// placeholders rather than preserved as structured data, which is enough for
// a transcript-style replay view without a per-capability renderer.
export type NormalizedRole = "system" | "user" | "assistant" | "tool";
export type NormalizedAiMessage = {
role: NormalizedRole;
content: string;
};
function normalizeRole(role: unknown): NormalizedRole {
if (
role === "system" ||
role === "user" ||
role === "assistant" ||
role === "tool"
) {
return role;
}
if (role === "model") return "assistant"; // Gemini
if (role === "function") return "tool"; // OpenAI legacy function role
return "user";
}
function safeJsonStringify(value: unknown): string {
try {
return JSON.stringify(value ?? {});
} catch {
return "";
}
}
/**
* Flattens one message "part"/"block" (OpenAI content parts, Anthropic
* content blocks, Gemini parts, Bedrock converse content blocks - they all
* follow the same rough shape) into readable text.
*/
function flattenContentPart(part: unknown): string {
if (typeof part === "string") return part;
if (part == null || typeof part !== "object") return "";
const p = part as Record<string, unknown>;
if (typeof p.text === "string") return p.text;
if (
p.type === "image_url" ||
p.type === "image" ||
p.type === "input_image" ||
p.type === "output_image" ||
"inlineData" in p
) {
return "[image]";
}
// Anthropic-style tool_use / tool_result blocks
if (p.type === "tool_use") {
const name = typeof p.name === "string" ? p.name : "tool";
return `[tool_call: ${name}(${safeJsonStringify(p.input)})]`;
}
if (p.type === "tool_result") {
const content = p.content;
const text =
typeof content === "string"
? content
: Array.isArray(content)
? flattenContentParts(content)
: "";
return `[tool_result: ${text}]`;
}
// Gemini-style functionCall / functionResponse parts
if (p.functionCall && typeof p.functionCall === "object") {
const fc = p.functionCall as Record<string, unknown>;
return `[tool_call: ${fc.name}(${safeJsonStringify(fc.args)})]`;
}
if (p.functionResponse && typeof p.functionResponse === "object") {
const fr = p.functionResponse as Record<string, unknown>;
return `[tool_result: ${fr.name}(${safeJsonStringify(fr.response)})]`;
}
// Bedrock converse-style toolUse / toolResult content blocks
if (p.toolUse && typeof p.toolUse === "object") {
const tu = p.toolUse as Record<string, unknown>;
return `[tool_call: ${tu.name}(${safeJsonStringify(tu.input)})]`;
}
if (p.toolResult && typeof p.toolResult === "object") {
const tr = p.toolResult as Record<string, unknown>;
const content = tr.content;
const text = Array.isArray(content) ? flattenContentParts(content) : "";
return `[tool_result: ${text}]`;
}
return "";
}
function flattenContentParts(parts: unknown[]): string {
return parts.map(flattenContentPart).join("");
}
function flattenContent(content: unknown): string {
if (typeof content === "string") return content;
if (Array.isArray(content)) return flattenContentParts(content);
return "";
}
/**
* Best-effort scan for every `"text":"..."` JSON string value in raw text,
* concatenated in order. Fallback for streaming formats we can't fully parse
* as JSON/SSE (Gemini's array-JSON stream, Bedrock's binary event-stream
* framing) - same spirit as aiUsageExtraction's scanNumericFields.
*/
function scanTextFragments(text: string): string {
const out: string[] = [];
const re = /"text"\s*:\s*"((?:[^"\\]|\\.)*)"/g;
let match: RegExpExecArray | null;
while ((match = re.exec(text)) !== null) {
try {
out.push(JSON.parse(`"${match[1]}"`));
} catch {
out.push(match[1]);
}
}
return out.join("");
}
// ---------------------------------------------------------------------------
// Request (input) normalizers - operate on the already-parsed outbound body.
// ---------------------------------------------------------------------------
function normalizeOpenAiChatRequest(body: any): NormalizedAiMessage[] {
const messages = Array.isArray(body?.messages) ? body.messages : [];
return messages.map((m: any) => ({
role: normalizeRole(m?.role),
content: flattenContent(m?.content)
}));
}
function normalizeOpenAiResponsesRequest(body: any): NormalizedAiMessage[] {
const out: NormalizedAiMessage[] = [];
if (typeof body?.instructions === "string" && body.instructions) {
out.push({ role: "system", content: body.instructions });
}
const input = body?.input;
if (typeof input === "string") {
out.push({ role: "user", content: input });
} else if (Array.isArray(input)) {
for (const item of input) {
if (item?.role) {
out.push({
role: normalizeRole(item.role),
content: flattenContent(item.content)
});
} else if (typeof item?.type === "string") {
out.push({ role: "tool", content: `[${item.type}]` });
}
}
}
return out;
}
function normalizeAnthropicRequest(body: any): NormalizedAiMessage[] {
const out: NormalizedAiMessage[] = [];
if (body?.system) {
const sys = flattenContent(body.system);
if (sys) out.push({ role: "system", content: sys });
}
const messages = Array.isArray(body?.messages) ? body.messages : [];
for (const m of messages) {
out.push({
role: normalizeRole(m?.role),
content: flattenContent(m?.content)
});
}
return out;
}
function normalizeGeminiRequest(body: any): NormalizedAiMessage[] {
const out: NormalizedAiMessage[] = [];
const sysParts = body?.systemInstruction?.parts;
if (Array.isArray(sysParts)) {
const text = flattenContentParts(sysParts);
if (text) out.push({ role: "system", content: text });
}
const contents = Array.isArray(body?.contents) ? body.contents : [];
for (const c of contents) {
out.push({
role: normalizeRole(c?.role),
content: Array.isArray(c?.parts) ? flattenContentParts(c.parts) : ""
});
}
return out;
}
function normalizeBedrockConverseRequest(body: any): NormalizedAiMessage[] {
const out: NormalizedAiMessage[] = [];
if (Array.isArray(body?.system)) {
const text = flattenContentParts(body.system);
if (text) out.push({ role: "system", content: text });
}
const messages = Array.isArray(body?.messages) ? body.messages : [];
for (const m of messages) {
out.push({
role: normalizeRole(m?.role),
content: Array.isArray(m?.content)
? flattenContentParts(m.content)
: ""
});
}
return out;
}
/**
* bedrock_model_invoke and google_raw_predict are passthroughs - the body
* shape depends entirely on the underlying model, not the capability. Try
* the two shapes we're most likely to see (Anthropic Claude, then plain
* OpenAI-style) and give up otherwise, same fallback spirit
* aiUsageExtraction.ts uses for these two capabilities' usage extraction.
*/
function normalizeBestEffortRequest(body: any): NormalizedAiMessage[] | null {
if (!Array.isArray(body?.messages)) return null;
const looksAnthropicShaped = body.messages.some((m: any) =>
Array.isArray(m?.content)
);
return looksAnthropicShaped
? normalizeAnthropicRequest(body)
: normalizeOpenAiChatRequest(body);
}
// ---------------------------------------------------------------------------
// Response (output) normalizers - operate on the raw response text, which
// may be a single JSON document (non-streaming) or provider-framed streaming
// text (SSE `data:` frames, a JSON-array stream, or binary event-stream
// framing with JSON payloads embedded in it).
// ---------------------------------------------------------------------------
function normalizeOpenAiChatResponse(
text: string,
isStream: boolean
): NormalizedAiMessage[] | null {
if (isStream) {
let role: unknown = "assistant";
let content = "";
let found = false;
for (const frame of sseDataFrames(text)) {
const delta = tryParseJson(frame)?.choices?.[0]?.delta;
if (!delta) continue;
found = true;
if (typeof delta.role === "string") role = delta.role;
if (typeof delta.content === "string") content += delta.content;
}
return found ? [{ role: normalizeRole(role), content }] : null;
}
const message = tryParseJson(text)?.choices?.[0]?.message;
if (!message) return null;
return [
{
role: normalizeRole(message.role),
content: flattenContent(message.content)
}
];
}
function extractOpenAiResponsesOutputText(response: any): string | null {
if (typeof response?.output_text === "string") return response.output_text;
const output = Array.isArray(response?.output) ? response.output : [];
const pieces: string[] = [];
for (const item of output) {
if (item?.type === "message" && Array.isArray(item.content)) {
pieces.push(flattenContentParts(item.content));
}
}
return pieces.length > 0 ? pieces.join("") : null;
}
function normalizeOpenAiResponsesResponse(
text: string,
isStream: boolean
): NormalizedAiMessage[] | null {
if (isStream) {
let content = "";
let found = false;
for (const frame of sseDataFrames(text)) {
const parsed = tryParseJson(frame);
if (!parsed) continue;
if (
parsed.type === "response.output_text.delta" &&
typeof parsed.delta === "string"
) {
content += parsed.delta;
found = true;
} else if (
parsed.type === "response.completed" &&
parsed.response
) {
const outputText = extractOpenAiResponsesOutputText(
parsed.response
);
if (outputText != null) {
content = outputText;
found = true;
}
}
}
return found ? [{ role: "assistant", content }] : null;
}
const parsed = tryParseJson(text);
const outputText = extractOpenAiResponsesOutputText(
parsed?.response ?? parsed
);
return outputText != null
? [{ role: "assistant", content: outputText }]
: null;
}
function normalizeAnthropicResponse(
text: string,
isStream: boolean
): NormalizedAiMessage[] | null {
if (isStream) {
let role: unknown = "assistant";
let content = "";
let found = false;
for (const frame of sseDataFrames(text)) {
const parsed = tryParseJson(frame);
if (!parsed) continue;
if (parsed.type === "message_start" && parsed.message?.role) {
role = parsed.message.role;
}
if (
parsed.type === "content_block_start" &&
parsed.content_block?.type === "tool_use"
) {
const name = parsed.content_block.name ?? "tool";
content += `[tool_call: ${name}]`;
found = true;
}
if (
parsed.type === "content_block_delta" &&
typeof parsed.delta?.text === "string"
) {
content += parsed.delta.text;
found = true;
}
}
return found ? [{ role: normalizeRole(role), content }] : null;
}
const parsed = tryParseJson(text);
if (!parsed || !Array.isArray(parsed.content)) return null;
return [
{
role: normalizeRole(parsed.role ?? "assistant"),
content: flattenContentParts(parsed.content)
}
];
}
function geminiCandidateParts(node: any): string {
const parts = node?.candidates?.[0]?.content?.parts;
return Array.isArray(parts) ? flattenContentParts(parts) : "";
}
function normalizeGeminiResponse(
text: string,
_isStream: boolean
): NormalizedAiMessage[] | null {
const frames = sseDataFrames(text);
let content = "";
let role: unknown = "model";
let found = false;
if (frames.length > 0) {
for (const frame of frames) {
const parsed = tryParseJson(frame);
const piece = geminiCandidateParts(parsed);
if (piece) {
content += piece;
found = true;
}
const r = parsed?.candidates?.[0]?.content?.role;
if (r) role = r;
}
} else {
const parsed = tryParseJson(text);
if (Array.isArray(parsed)) {
for (const chunk of parsed) {
const piece = geminiCandidateParts(chunk);
if (piece) {
content += piece;
found = true;
}
const r = chunk?.candidates?.[0]?.content?.role;
if (r) role = r;
}
} else if (parsed) {
const piece = geminiCandidateParts(parsed);
if (piece) {
content = piece;
found = true;
}
const r = parsed?.candidates?.[0]?.content?.role;
if (r) role = r;
}
}
if (!found) {
const scanned = scanTextFragments(text);
return scanned
? [{ role: normalizeRole(role), content: scanned }]
: null;
}
return [{ role: normalizeRole(role), content }];
}
function normalizeBedrockConverseResponse(
text: string,
isStream: boolean
): NormalizedAiMessage[] | null {
if (!isStream) {
const message = tryParseJson(text)?.output?.message;
if (!message) return null;
return [
{
role: normalizeRole(message.role ?? "assistant"),
content: Array.isArray(message.content)
? flattenContentParts(message.content)
: ""
}
];
}
// converse-stream uses AWS's binary event-stream framing, but the JSON
// payload of each event survives intact inside it (same assumption
// aiUsageExtraction.ts makes for usage) - scan for the text pieces.
const scanned = scanTextFragments(text);
return scanned ? [{ role: "assistant", content: scanned }] : null;
}
function normalizeBedrockModelInvokeResponse(
text: string,
isStream: boolean
): NormalizedAiMessage[] | null {
const anthropicStyle = normalizeAnthropicResponse(text, isStream);
if (anthropicStyle) return anthropicStyle;
const scanned = scanTextFragments(text);
return scanned ? [{ role: "assistant", content: scanned }] : null;
}
function normalizeGoogleRawPredictResponse(
text: string,
isStream: boolean
): NormalizedAiMessage[] | null {
const anthropicStyle = normalizeAnthropicResponse(text, isStream);
if (anthropicStyle) return anthropicStyle;
const scanned = scanTextFragments(text);
return scanned ? [{ role: "assistant", content: scanned }] : null;
}
const REQUEST_NORMALIZERS: Record<
AiCapability,
(body: any) => NormalizedAiMessage[] | null
> = {
openai_chat: normalizeOpenAiChatRequest,
openai_responses: normalizeOpenAiResponsesRequest,
anthropic_messages: normalizeAnthropicRequest,
gemini_generate_content: normalizeGeminiRequest,
google_generate_content: normalizeGeminiRequest,
google_raw_predict: normalizeBestEffortRequest,
bedrock_model_invoke: normalizeBestEffortRequest,
bedrock_converse: normalizeBedrockConverseRequest
};
const RESPONSE_NORMALIZERS: Record<
AiCapability,
(text: string, isStream: boolean) => NormalizedAiMessage[] | null
> = {
openai_chat: normalizeOpenAiChatResponse,
openai_responses: normalizeOpenAiResponsesResponse,
anthropic_messages: normalizeAnthropicResponse,
gemini_generate_content: normalizeGeminiResponse,
google_generate_content: normalizeGeminiResponse,
google_raw_predict: normalizeGoogleRawPredictResponse,
bedrock_model_invoke: normalizeBedrockModelInvokeResponse,
bedrock_converse: normalizeBedrockConverseResponse
};
/**
* Normalizes an outbound AI gateway request body into a uniform message
* transcript, regardless of capability/provider. Returns null if the body
* doesn't contain any recognizable messages (or parsing failed) - callers
* should fall back to showing the raw request body.
*/
export function normalizeAiRequest(
capability: AiCapability,
body: unknown
): NormalizedAiMessage[] | null {
try {
const result = REQUEST_NORMALIZERS[capability](body);
return result && result.length > 0 ? result : null;
} catch (error) {
logger.debug("Failed to normalize AI request messages", {
capability,
error
});
return null;
}
}
/**
* Normalizes a completed (non-streaming or fully-accumulated streaming) AI
* gateway response into a uniform message transcript. Returns null if
* nothing recognizable could be extracted - callers should fall back to
* showing the raw response body.
*/
export function normalizeAiResponse(
capability: AiCapability,
responseText: string,
isStream: boolean
): NormalizedAiMessage[] | null {
try {
const result = RESPONSE_NORMALIZERS[capability](responseText, isStream);
return result && result.length > 0 ? result : null;
} catch (error) {
logger.debug("Failed to normalize AI response messages", {
capability,
error
});
return null;
}
}
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import fs from "node:fs";
import axios from "axios";
import config from "@server/lib/config";
import logger from "@server/logger";
import type { AiProviderType } from "@server/lib/aiProviderDefaults";
export const CATALOG_PROVIDERS = [
"openai",
"anthropic",
"gemini",
"vertex",
"azure",
"bedrock"
] as const;
export type CatalogProvider = (typeof CATALOG_PROVIDERS)[number];
const CATALOG_PROVIDER_SET = new Set<string>(CATALOG_PROVIDERS);
// Each of our provider types maps to at most one catalog provider. Provider
// types that proxy arbitrary underlying models (openRouter, vercelAiGateway,
// custom) have no mapping.
const PROVIDER_CATALOG_MAP: Record<
Exclude<AiProviderType, "custom">,
CatalogProvider | null
> = {
openai: "openai",
anthropic: "anthropic",
googleGemini: "gemini",
vertexAi: "vertex",
bedrock: "bedrock",
microsoftFoundry: "azure",
openRouter: null,
vercelAiGateway: null
};
export function getCatalogProviderForType(
type: AiProviderType
): CatalogProvider | null {
if (type === "custom") {
return null;
}
return PROVIDER_CATALOG_MAP[type];
}
export type AiModelCatalogEntry = {
provider: CatalogProvider;
model: string;
pricing: {
input: number | null;
output: number | null;
cacheRead: number | null;
reasoningOutput: number | null;
};
};
type RawCatalogEntry = {
id?: string;
name?: string;
model?: string;
provider: string;
input_cost_per_token?: number | null;
output_cost_per_token?: number | null;
cache_read_input_token_cost?: number | null;
output_cost_per_reasoning_token?: number | null;
pricing?: {
input?: number | null;
output?: number | null;
cacheRead?: number | null;
reasoningOutput?: number | null;
};
};
function normalizeCatalogProvider(raw: string): CatalogProvider | null {
if (CATALOG_PROVIDER_SET.has(raw)) {
return raw as CatalogProvider;
}
if (raw.startsWith("bedrock")) {
return "bedrock";
}
if (raw.startsWith("vertex")) {
return "vertex";
}
if (raw.startsWith("azure")) {
return "azure";
}
return null;
}
function normalizeEntry(raw: RawCatalogEntry): AiModelCatalogEntry | null {
const provider = normalizeCatalogProvider(raw.provider);
if (!provider) {
return null;
}
const model = raw.model ?? raw.name ?? raw.id;
if (!model) {
return null;
}
return {
provider,
model,
pricing: {
input: raw.pricing?.input ?? raw.input_cost_per_token ?? null,
output: raw.pricing?.output ?? raw.output_cost_per_token ?? null,
cacheRead:
raw.pricing?.cacheRead ??
raw.cache_read_input_token_cost ??
null,
reasoningOutput:
raw.pricing?.reasoningOutput ??
raw.output_cost_per_reasoning_token ??
null
}
};
}
function providerKey(provider: CatalogProvider, key: string): string {
return `${provider}\0${key}`;
}
export class AiModelCatalog {
private entries: AiModelCatalogEntry[] = [];
private byProvider = new Map<CatalogProvider, AiModelCatalogEntry[]>();
private byProviderAndKey = new Map<string, AiModelCatalogEntry>();
private byKey = new Map<string, AiModelCatalogEntry[]>();
private refreshTimer: NodeJS.Timeout | null = null;
/**
* Loads the catalog into memory and schedules periodic background refreshes.
* Call once at server startup.
*/
async init(): Promise<void> {
await this.refresh();
this.scheduleNextRefresh();
}
/** Exact lookup by catalog provider and model key. */
get(
provider: CatalogProvider,
key: string
): AiModelCatalogEntry | undefined {
return this.byProviderAndKey.get(providerKey(provider, key));
}
/** All models for a catalog provider. */
list(provider: CatalogProvider): AiModelCatalogEntry[] {
return this.byProvider.get(provider) ?? [];
}
/** All catalog entries that share a model key, across providers. */
listByKey(key: string): AiModelCatalogEntry[] {
return this.byKey.get(key) ?? [];
}
/** Full in-memory catalog. */
getAll(): AiModelCatalogEntry[] {
return this.entries;
}
private setEntries(entries: AiModelCatalogEntry[]): void {
const byProvider = new Map<CatalogProvider, AiModelCatalogEntry[]>();
const byProviderAndKey = new Map<string, AiModelCatalogEntry>();
const byKey = new Map<string, AiModelCatalogEntry[]>();
for (const entry of entries) {
const list = byProvider.get(entry.provider) ?? [];
list.push(entry);
byProvider.set(entry.provider, list);
const mapKey = providerKey(entry.provider, entry.model);
if (!byProviderAndKey.has(mapKey)) {
byProviderAndKey.set(mapKey, entry);
}
const keyList = byKey.get(entry.model) ?? [];
keyList.push(entry);
byKey.set(entry.model, keyList);
}
this.entries = entries;
this.byProvider = byProvider;
this.byProviderAndKey = byProviderAndKey;
this.byKey = byKey;
}
private async fetchFromFile(
filePath: string
): Promise<AiModelCatalogEntry[] | null> {
try {
if (!fs.existsSync(filePath)) {
logger.warn(
`AI model catalog file not found at ${filePath}; cost calculation will fall back to unknown pricing`
);
return null;
}
const raw = fs.readFileSync(filePath, "utf-8");
const parsed = JSON.parse(raw) as { data: RawCatalogEntry[] };
return (parsed.data ?? [])
.map(normalizeEntry)
.filter((e): e is AiModelCatalogEntry => e != null);
} catch (error) {
logger.warn("Failed to read AI model catalog file", { error });
return null;
}
}
private async fetchFromUpstream(
upstreamUrl: string
): Promise<AiModelCatalogEntry[] | null> {
try {
const res = await axios.get<{ data: RawCatalogEntry[] }>(
upstreamUrl,
{ timeout: 15_000 }
);
return (res.data?.data ?? [])
.map(normalizeEntry)
.filter((e): e is AiModelCatalogEntry => e != null);
} catch (error: any) {
logger.warn(
`Failed to fetch AI model catalog from ${upstreamUrl}: ${error.message || error}`
);
return null;
}
}
private async refresh(): Promise<void> {
const { file, upstream_url } = config.getRawConfig().ai.model_catalog;
const fetched = file
? await this.fetchFromFile(file)
: await this.fetchFromUpstream(upstream_url);
if (fetched) {
this.setEntries(fetched);
logger.debug(
`AI model catalog refreshed: ${this.entries.length} models loaded`
);
} else {
logger.debug(
"AI model catalog refresh failed; keeping previously loaded catalog in memory"
);
}
}
private scheduleNextRefresh(): void {
const { refresh_interval_min_hours, refresh_interval_max_hours } =
config.getRawConfig().ai.model_catalog;
// Jittered rather than fixed so that many self-hosted instances don't
// all hit the upstream catalog endpoint at the same moment.
const minMs = refresh_interval_min_hours * 60 * 60 * 1000;
const maxMs = refresh_interval_max_hours * 60 * 60 * 1000;
const delayMs = minMs + Math.random() * Math.max(0, maxMs - minMs);
if (this.refreshTimer) {
clearTimeout(this.refreshTimer);
}
this.refreshTimer = setTimeout(async () => {
await this.refresh();
this.scheduleNextRefresh();
}, delayMs);
}
}
export const aiModelCatalog = new AiModelCatalog();
/**
* Loads the AI model pricing catalog into memory and schedules periodic
* background refreshes. Call once at server startup.
*/
export async function initAiModelCatalog(): Promise<void> {
await aiModelCatalog.init();
}
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const modelKeyRegexCache = new Map<string, RegExp>();
export function isModelKeyPattern(key: string): boolean {
return key.includes("*") || key.includes("?");
}
function getModelKeyRegex(pattern: string): RegExp {
let regex = modelKeyRegexCache.get(pattern);
if (!regex) {
const escaped = pattern.replace(/[.+^${}()|[\]\\]/g, "\\$&");
regex = new RegExp(
`^${escaped.replace(/\*/g, ".*").replace(/\?/g, ".")}$`
);
modelKeyRegexCache.set(pattern, regex);
}
return regex;
}
export function modelKeyMatches(
pattern: string,
requestedModel: string
): boolean {
return getModelKeyRegex(pattern).test(requestedModel);
}
function wildcardCharCount(key: string): number {
let count = 0;
for (const char of key) {
if (char === "*" || char === "?") {
count += 1;
}
}
return count;
}
function literalLength(key: string): number {
return key.replace(/[*?]/g, "").length;
}
/**
* Sort comparator: more specific patterns sort before less specific ones
* (negative when `a` is more specific than `b`).
*
* 1. Exact keys beat patterns
* 2. Fewer wildcard characters win
* 3. Longer literal length wins
*/
export function compareModelKeySpecificity(a: string, b: string): number {
const aIsPattern = isModelKeyPattern(a);
const bIsPattern = isModelKeyPattern(b);
if (aIsPattern !== bIsPattern) {
return aIsPattern ? 1 : -1;
}
const wildcardDiff = wildcardCharCount(a) - wildcardCharCount(b);
if (wildcardDiff !== 0) {
return wildcardDiff;
}
return literalLength(b) - literalLength(a);
}
/**
* Provider-layer policy: empty allowlist denies all. Blocklist only applies
* after an allow match.
*/
export function isAllowedByLists(
requested: string,
allows: string[],
blocks: string[]
): boolean {
if (allows.length === 0) {
return false;
}
if (!allows.some((pattern) => modelKeyMatches(pattern, requested))) {
return false;
}
if (blocks.some((pattern) => modelKeyMatches(pattern, requested))) {
return false;
}
return true;
}
/**
* Among allow patterns that match `requested`, return the most specific one,
* or null if none match.
*/
export function mostSpecificMatchingAllow(
requested: string,
allows: string[]
): string | null {
const matching = allows.filter((pattern) =>
modelKeyMatches(pattern, requested)
);
if (matching.length === 0) {
return null;
}
matching.sort(compareModelKeySpecificity);
return matching[0];
}
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import type { AiProviderType } from "@server/lib/aiProviderDefaults";
import type { AiUsage } from "@server/lib/aiUsageExtraction";
import {
aiModelCatalog,
getCatalogProviderForType,
type AiModelCatalogEntry,
type CatalogProvider
} from "@server/lib/aiModelCatalog";
export type AiModelPricing = {
inputCostPerToken: number | null;
outputCostPerToken: number | null;
cacheReadInputTokenCost: number | null;
outputCostPerReasoningToken: number | null;
// True when the match came from a different catalog provider than the
// one mapped to this provider's type (e.g. an openRouter/custom model
// id that only matched a global search across every provider). Costs
// found this way are a best-effort approximation, not a guarantee the
// upstream provider bills at the same rate.
approximate: boolean;
};
function stripVendorPrefix(modelId: string): string | null {
const idx = modelId.indexOf("/");
if (idx === -1 || idx === modelId.length - 1) {
return null;
}
return modelId.slice(idx + 1);
}
function toPricing(
entry: AiModelCatalogEntry,
approximate: boolean
): AiModelPricing {
return {
inputCostPerToken: entry.pricing.input,
outputCostPerToken: entry.pricing.output,
cacheReadInputTokenCost: entry.pricing.cacheRead,
outputCostPerReasoningToken: entry.pricing.reasoningOutput,
approximate
};
}
function findEntry(
modelId: string,
provider: CatalogProvider | null
): AiModelCatalogEntry | null {
const candidates = [modelId, stripVendorPrefix(modelId)].filter(
(v): v is string => v != null
);
for (const key of candidates) {
if (provider) {
const match = aiModelCatalog.get(provider, key);
if (match) {
return match;
}
continue;
}
const match = aiModelCatalog.listByKey(key)[0];
if (match) {
return match;
}
}
return null;
}
/**
* Looks up per-token pricing for a model, scoped first to the catalog
* provider that corresponds to our provider type, then falling back to a
* global search across every provider (marked `approximate`) for provider
* types that proxy arbitrary underlying models.
*/
export function getModelPricing(
providerType: AiProviderType,
modelId: string | undefined
): AiModelPricing | null {
if (!modelId) {
return null;
}
const catalogProvider = getCatalogProviderForType(providerType);
if (catalogProvider) {
const scoped = findEntry(modelId, catalogProvider);
if (scoped) {
return toPricing(scoped, false);
}
}
const fallback = findEntry(modelId, null);
if (fallback) {
return toPricing(fallback, true);
}
return null;
}
export type AiCostBreakdown = {
promptCost: number;
cacheReadCost: number;
cacheWriteCost: number;
completionCost: number;
reasoningCost: number;
totalCost: number;
};
/**
* Computes a $ cost breakdown for a usage record given a model's pricing.
* Cache writes and reasoning tokens fall back to the normal input/output
* rate respectively when the catalog has no dedicated rate for them (the
* catalog has no cache-write field at all, and only some models report a
* distinct reasoning rate).
*/
export function calculateAiCost(
pricing: AiModelPricing | null,
usage: AiUsage
): AiCostBreakdown | null {
if (!pricing) {
return null;
}
const inputRate = pricing.inputCostPerToken ?? 0;
const outputRate = pricing.outputCostPerToken ?? 0;
const cacheReadRate = pricing.cacheReadInputTokenCost ?? inputRate;
const reasoningRate = pricing.outputCostPerReasoningToken ?? outputRate;
const promptCost = usage.promptTokens * inputRate;
const cacheReadCost = usage.cacheReadTokens * cacheReadRate;
const cacheWriteCost = usage.cacheWriteTokens * inputRate;
const completionCost = usage.completionTokens * outputRate;
const reasoningCost = usage.reasoningTokens * reasoningRate;
return {
promptCost,
cacheReadCost,
cacheWriteCost,
completionCost,
reasoningCost,
totalCost:
promptCost +
cacheReadCost +
cacheWriteCost +
completionCost +
reasoningCost
};
}
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import { decrypt, encrypt } from "@server/lib/crypto";
import {
parseCapabilities,
type AiCapability
} from "@server/lib/aiCapabilities";
export type AiProviderType =
| "openai"
| "anthropic"
| "googleGemini"
| "vertexAi"
| "bedrock"
| "microsoftFoundry"
| "openRouter"
| "vercelAiGateway"
| "custom";
export const AI_PROVIDER_AUTH_TYPES = [
"bearer",
"x-api-key",
"x-goog-api-key",
"hec",
"cf-aig-authorization",
"none",
"passthrough"
] as const;
export type AiProviderAuthType = (typeof AI_PROVIDER_AUTH_TYPES)[number];
export type AiBudgetUnit = "usd" | "tokens";
export type AiProviderRoutingMode = "url" | "target";
type AiProviderDefaults = {
upstreamUrl: string | null;
authType: AiProviderAuthType;
capabilities: readonly AiCapability[];
};
export const AI_PROVIDER_DEFAULTS: Record<
Exclude<AiProviderType, "custom">,
AiProviderDefaults
> = {
openai: {
upstreamUrl: "https://api.openai.com/v1",
authType: "bearer",
capabilities: ["openai_chat", "openai_responses"]
},
anthropic: {
upstreamUrl: "https://api.anthropic.com",
authType: "x-api-key",
capabilities: ["anthropic_messages"]
},
googleGemini: {
upstreamUrl: "https://generativelanguage.googleapis.com",
authType: "x-goog-api-key",
capabilities: ["gemini_generate_content"]
},
vertexAi: {
upstreamUrl: null,
authType: "bearer",
capabilities: ["google_generate_content", "google_raw_predict"]
},
bedrock: {
upstreamUrl: "https://bedrock-runtime.us-east-1.amazonaws.com",
authType: "bearer",
capabilities: ["bedrock_converse"]
},
microsoftFoundry: {
upstreamUrl: null,
authType: "bearer",
capabilities: ["openai_chat", "openai_responses", "anthropic_messages"]
},
openRouter: {
upstreamUrl: "https://openrouter.ai/api/v1",
authType: "bearer",
capabilities: ["openai_chat"]
},
vercelAiGateway: {
upstreamUrl: "https://ai-gateway.vercel.sh/v1",
authType: "bearer",
capabilities: ["openai_chat", "openai_responses"]
}
};
const CONFLICTING_AUTH_HEADERS = [
"authorization",
"x-api-key",
"x-goog-api-key",
"cf-aig-authorization"
] as const;
export function authTypeRequiresApiKey(authType: AiProviderAuthType): boolean {
return authType !== "none" && authType !== "passthrough";
}
export function providerRequiresUpstreamUrl(
type: AiProviderType,
routingMode: AiProviderRoutingMode = "url"
): boolean {
if (routingMode === "target") {
return false;
}
if (type === "custom") {
return true;
}
return AI_PROVIDER_DEFAULTS[type].upstreamUrl === null;
}
export function resolveAiProviderCreateFields(input: {
type: AiProviderType;
upstreamUrl?: string | null;
authType?: AiProviderAuthType | null;
routingMode?: AiProviderRoutingMode | null;
}): {
upstreamUrl: string | null;
authType: AiProviderAuthType;
routingMode: AiProviderRoutingMode;
} {
const routingMode =
input.type === "custom" ? (input.routingMode ?? "url") : "url";
if (routingMode === "target") {
return {
upstreamUrl: null,
authType: input.authType ?? "bearer",
routingMode
};
}
if (input.type === "custom") {
return {
upstreamUrl: input.upstreamUrl ?? null,
authType: input.authType ?? "bearer",
routingMode
};
}
const defaults = AI_PROVIDER_DEFAULTS[input.type];
return {
upstreamUrl: input.upstreamUrl ?? defaults.upstreamUrl,
authType: input.authType ?? defaults.authType,
routingMode
};
}
export type AiProviderHeader = { name: string; value: string };
export function serializeAiProviderHeaders(
headers: AiProviderHeader[] | null | undefined,
secret: string
): string | null {
if (!headers || headers.length === 0) {
return null;
}
return encrypt(JSON.stringify(headers), secret);
}
export function parseAiProviderHeaders(
raw: string | null | undefined,
secret: string
): AiProviderHeader[] {
if (!raw) {
return [];
}
try {
const decrypted = decrypt(raw, secret);
const parsed = JSON.parse(decrypted);
if (!Array.isArray(parsed)) {
return [];
}
return parsed.filter(
(h): h is AiProviderHeader =>
h != null &&
typeof h === "object" &&
typeof h.name === "string" &&
typeof h.value === "string"
);
} catch {
return [];
}
}
export function applyAiProviderCustomHeaders(
headers: Record<string, string>,
raw: string | null | undefined,
secret: string
): void {
for (const { name, value } of parseAiProviderHeaders(raw, secret)) {
headers[name] = value;
}
}
/**
* Apply provider auth to upstream headers.
* - Injected modes: strip client auth headers, then set the provider key.
* - none: strip client auth headers, send no auth.
* - passthrough: leave client auth headers as-is.
*/
export function applyAiProviderAuthHeaders(
headers: Record<string, string>,
authType: AiProviderAuthType,
apiKey: string | null
): void {
if (authType === "passthrough") {
return;
}
for (const name of CONFLICTING_AUTH_HEADERS) {
for (const key of Object.keys(headers)) {
if (key.toLowerCase() === name) {
delete headers[key];
}
}
}
if (authType === "none") {
return;
}
if (!apiKey) {
throw new Error(`API key required for authType ${authType}`);
}
switch (authType) {
case "bearer":
headers["Authorization"] = `Bearer ${apiKey}`;
break;
case "x-api-key":
headers["x-api-key"] = apiKey;
break;
case "x-goog-api-key":
headers["x-goog-api-key"] = apiKey;
break;
case "hec":
headers["Authorization"] = `Splunk ${apiKey}`;
break;
case "cf-aig-authorization":
headers["cf-aig-authorization"] = `Bearer ${apiKey}`;
break;
}
}
export function resolveCapabilitiesForCreate(input: {
type: AiProviderType;
capabilities?: AiCapability[] | null;
}): AiCapability[] {
if (input.capabilities != null) {
return parseCapabilities(input.capabilities);
}
if (input.type === "custom") {
return [];
}
return [...AI_PROVIDER_DEFAULTS[input.type].capabilities];
}
export function defaultsForProviderType(
type: AiProviderType
): readonly AiCapability[] {
if (type === "custom") {
return [];
}
return AI_PROVIDER_DEFAULTS[type].capabilities;
}
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import {
aiModelCatalog,
getCatalogProviderForType,
type CatalogProvider
} from "@server/lib/aiModelCatalog";
import type { AiProviderType } from "@server/lib/aiProviderDefaults";
function stripVendorPrefix(modelId: string): string | null {
const idx = modelId.indexOf("/");
if (idx === -1 || idx === modelId.length - 1) {
return null;
}
return modelId.slice(idx + 1);
}
function modelKeysToTry(modelId: string): string[] {
const keys = [modelId];
const stripped = stripVendorPrefix(modelId);
if (stripped) {
keys.push(stripped);
}
return keys;
}
function catalogOwnsModel(
catalogProvider: CatalogProvider,
modelId: string
): boolean {
for (const key of modelKeysToTry(modelId)) {
if (aiModelCatalog.get(catalogProvider, key)) {
return true;
}
}
return false;
}
function modelKnownInAnyCatalog(modelId: string): boolean {
for (const key of modelKeysToTry(modelId)) {
if (aiModelCatalog.listByKey(key).length > 0) {
return true;
}
}
return false;
}
/**
* How strongly a provider "owns" a requested model id via the known catalog.
*
* 2 - Typed provider whose catalog contains the model
* 1 - Aggregator/custom that can proxy a catalog-known model
* 0 - No ownership signal (typed miss, or unknown model on aggregator/custom)
*/
export function catalogOwnershipScore(
type: AiProviderType,
modelId: string
): number {
const catalogProvider = getCatalogProviderForType(type);
if (catalogProvider != null) {
return catalogOwnsModel(catalogProvider, modelId) ? 2 : 0;
}
return modelKnownInAnyCatalog(modelId) ? 1 : 0;
}
/**
* Prefer native vendor providers over aggregators over custom when catalog
* ownership is tied.
*
* 2 - Native typed provider (openai, anthropic, gemini, ...)
* 1 - Aggregator gateway (openRouter, vercelAiGateway)
* 0 - Custom
*/
export function providerClassRank(type: AiProviderType): number {
if (type === "custom") {
return 0;
}
if (type === "openRouter" || type === "vercelAiGateway") {
return 1;
}
return 2;
}
export function keepBestScored<T>(
items: T[],
scoreFn: (item: T) => number
): T[] {
if (items.length <= 1) {
return items;
}
let best = Number.NEGATIVE_INFINITY;
for (const item of items) {
const score = scoreFn(item);
if (score > best) {
best = score;
}
}
return items.filter((item) => scoreFn(item) === best);
}
+482
View File
@@ -0,0 +1,482 @@
import { encode } from "gpt-tokenizer";
import type { AiCapability } from "@server/lib/aiCapabilities";
import logger from "@server/logger";
export type AiUsage = {
// Input tokens billed at the normal input rate (i.e. NOT already
// covered by cacheReadTokens/cacheWriteTokens below).
promptTokens: number;
cacheReadTokens: number;
cacheWriteTokens: number;
// Output tokens billed at the normal output rate (i.e. NOT already
// covered by reasoningTokens below).
completionTokens: number;
reasoningTokens: number;
// True when these numbers are our own best-guess estimate (the upstream
// response didn't report usage), rather than provider-reported figures.
estimated: boolean;
};
function emptyUsage(): AiUsage {
return {
promptTokens: 0,
cacheReadTokens: 0,
cacheWriteTokens: 0,
completionTokens: 0,
reasoningTokens: 0,
estimated: false
};
}
/**
* Scans raw (possibly binary-framed, e.g. Bedrock's vnd.amazon.eventstream)
* text for `"fieldName":123` occurrences and returns the last value seen for
* each field. Used as a best-effort fallback for response shapes we can't
* fully parse as JSON/SSE (streaming Bedrock, raw predict passthroughs).
*/
function scanNumericFields(
text: string,
fields: string[]
): Record<string, number> {
const out: Record<string, number> = {};
for (const field of fields) {
const re = new RegExp(`"${field}"\\s*:\\s*(\\d+)`, "g");
let match: RegExpExecArray | null;
while ((match = re.exec(text)) !== null) {
out[field] = Number(match[1]);
}
}
return out;
}
// Exported for reuse by server/lib/aiMessageNormalization.ts, which needs
// the same SSE-frame/JSON-parsing groundwork to extract message content
// instead of usage numbers.
export function sseDataFrames(text: string): string[] {
const frames: string[] = [];
for (const rawFrame of text.split(/\r?\n\r?\n/)) {
for (const line of rawFrame.split(/\r?\n/)) {
if (!line.startsWith("data:")) continue;
const data = line.slice("data:".length).trim();
if (data && data !== "[DONE]") {
frames.push(data);
}
}
}
return frames;
}
export function tryParseJson(text: string): any | null {
try {
return JSON.parse(text);
} catch {
return null;
}
}
function extractOpenAiChat(text: string, isStream: boolean): AiUsage | null {
let usage: any = null;
if (isStream) {
for (const frame of sseDataFrames(text)) {
const parsed = tryParseJson(frame);
if (parsed?.usage) {
usage = parsed.usage;
}
}
} else {
usage = tryParseJson(text)?.usage ?? null;
}
if (!usage) {
return null;
}
const cacheReadTokens = usage.prompt_tokens_details?.cached_tokens ?? 0;
const reasoningTokens =
usage.completion_tokens_details?.reasoning_tokens ?? 0;
return {
promptTokens: Math.max(0, (usage.prompt_tokens ?? 0) - cacheReadTokens),
cacheReadTokens,
cacheWriteTokens: 0,
completionTokens: Math.max(
0,
(usage.completion_tokens ?? 0) - reasoningTokens
),
reasoningTokens,
estimated: false
};
}
function extractOpenAiResponses(
text: string,
isStream: boolean
): AiUsage | null {
let usage: any = null;
if (isStream) {
for (const frame of sseDataFrames(text)) {
const parsed = tryParseJson(frame);
if (
parsed?.type === "response.completed" &&
parsed?.response?.usage
) {
usage = parsed.response.usage;
} else if (parsed?.usage) {
usage = parsed.usage;
}
}
} else {
const parsed = tryParseJson(text);
usage = parsed?.usage ?? parsed?.response?.usage ?? null;
}
if (!usage) {
return null;
}
const cacheReadTokens = usage.input_tokens_details?.cached_tokens ?? 0;
const reasoningTokens = usage.output_tokens_details?.reasoning_tokens ?? 0;
return {
promptTokens: Math.max(0, (usage.input_tokens ?? 0) - cacheReadTokens),
cacheReadTokens,
cacheWriteTokens: 0,
completionTokens: Math.max(
0,
(usage.output_tokens ?? 0) - reasoningTokens
),
reasoningTokens,
estimated: false
};
}
function extractAnthropicMessages(
text: string,
isStream: boolean
): AiUsage | null {
let inputTokens = 0;
let cacheReadTokens = 0;
let cacheWriteTokens = 0;
let outputTokens = 0;
let found = false;
const applyUsage = (usage: any) => {
if (!usage) return;
found = true;
if (typeof usage.input_tokens === "number") {
inputTokens = usage.input_tokens;
}
if (typeof usage.cache_read_input_tokens === "number") {
cacheReadTokens = usage.cache_read_input_tokens;
}
if (typeof usage.cache_creation_input_tokens === "number") {
cacheWriteTokens = usage.cache_creation_input_tokens;
}
if (typeof usage.output_tokens === "number") {
outputTokens = usage.output_tokens;
}
};
if (isStream) {
for (const frame of sseDataFrames(text)) {
const parsed = tryParseJson(frame);
if (!parsed) continue;
applyUsage(parsed.message?.usage);
applyUsage(parsed.usage);
}
} else {
applyUsage(tryParseJson(text)?.usage);
}
if (!found) {
return null;
}
return {
promptTokens: inputTokens,
cacheReadTokens,
cacheWriteTokens,
completionTokens: outputTokens,
// Anthropic bills extended-thinking output at the normal output
// rate, so there's no separate reasoning bucket to report.
reasoningTokens: 0,
estimated: false
};
}
function extractGoogleGenerateContent(
text: string,
_isStream: boolean
): AiUsage | null {
// Both the plain-JSON-array stream format and the SSE (?alt=sse) format
// repeat a cumulative `usageMetadata` object per chunk; the regex scan
// below naturally picks up the last (most complete) one either way.
const fields = scanNumericFields(text, [
"promptTokenCount",
"candidatesTokenCount",
"cachedContentTokenCount",
"thoughtsTokenCount"
]);
if (fields.promptTokenCount === undefined) {
return null;
}
const cacheReadTokens = fields.cachedContentTokenCount ?? 0;
const reasoningTokens = fields.thoughtsTokenCount ?? 0;
return {
promptTokens: Math.max(0, fields.promptTokenCount - cacheReadTokens),
cacheReadTokens,
cacheWriteTokens: 0,
completionTokens: fields.candidatesTokenCount ?? 0,
reasoningTokens,
estimated: false
};
}
function extractBedrockConverse(
text: string,
_isStream: boolean
): AiUsage | null {
// Non-streaming responses are plain JSON; converse-stream frames the
// final `metadata` event's usage object inside binary event-stream
// framing, but the JSON text survives intact inside that binary
// envelope, so the same field scan works for both.
const parsed = tryParseJson(text);
const usage = parsed?.usage;
if (usage) {
const cacheReadTokens = usage.cacheReadInputTokens ?? 0;
return {
promptTokens: Math.max(
0,
(usage.inputTokens ?? 0) - cacheReadTokens
),
cacheReadTokens,
cacheWriteTokens: usage.cacheWriteInputTokens ?? 0,
completionTokens: usage.outputTokens ?? 0,
reasoningTokens: 0,
estimated: false
};
}
const fields = scanNumericFields(text, [
"inputTokens",
"outputTokens",
"cacheReadInputTokens",
"cacheWriteInputTokens"
]);
if (fields.inputTokens === undefined) {
return null;
}
const cacheReadTokens = fields.cacheReadInputTokens ?? 0;
return {
promptTokens: Math.max(0, fields.inputTokens - cacheReadTokens),
cacheReadTokens,
cacheWriteTokens: fields.cacheWriteInputTokens ?? 0,
completionTokens: fields.outputTokens ?? 0,
reasoningTokens: 0,
estimated: false
};
}
function extractBedrockModelInvoke(
text: string,
_isStream: boolean,
headers: Headers
): AiUsage | null {
// Non-streaming invoke reports counts via response headers regardless
// of the underlying model's payload format.
const headerInput = headers.get("x-amzn-bedrock-input-token-count");
const headerOutput = headers.get("x-amzn-bedrock-output-token-count");
if (headerInput !== null || headerOutput !== null) {
return {
promptTokens: Number(headerInput ?? 0),
cacheReadTokens: 0,
cacheWriteTokens: 0,
completionTokens: Number(headerOutput ?? 0),
reasoningTokens: 0,
estimated: false
};
}
// invoke-with-response-stream has no equivalent headers; the model's
// own usage shape (frequently Anthropic-style on Bedrock) is embedded
// inside binary event-stream framing, so fall back to a couple of
// known field-name shapes via regex.
const anthropicStyle = extractAnthropicMessages(text, true);
if (anthropicStyle) {
return anthropicStyle;
}
const fields = scanNumericFields(text, [
"inputTokenCount",
"outputTokenCount"
]);
if (fields.inputTokenCount === undefined) {
return null;
}
return {
promptTokens: fields.inputTokenCount,
cacheReadTokens: 0,
cacheWriteTokens: 0,
completionTokens: fields.outputTokenCount ?? 0,
reasoningTokens: 0,
estimated: false
};
}
const EXTRACTORS: Record<
AiCapability,
(text: string, isStream: boolean, headers: Headers) => AiUsage | null
> = {
openai_chat: extractOpenAiChat,
openai_responses: extractOpenAiResponses,
anthropic_messages: extractAnthropicMessages,
gemini_generate_content: extractGoogleGenerateContent,
google_generate_content: extractGoogleGenerateContent,
// rawPredict is a passthrough to whatever the underlying publisher
// model speaks (often Anthropic-shaped on Vertex); try that, then give
// up to the token-count estimate.
google_raw_predict: (text, isStream) =>
extractAnthropicMessages(text, isStream),
bedrock_model_invoke: extractBedrockModelInvoke,
bedrock_converse: extractBedrockConverse
};
/**
* Attempts to pull provider-reported token usage out of an upstream AI
* gateway response. Returns null if the response didn't contain (or we
* couldn't find) usage data, in which case callers should fall back to
* `estimateUsage`.
*/
export function extractUsage(
capability: AiCapability,
responseText: string,
isStream: boolean,
headers: Headers
): AiUsage | null {
try {
return EXTRACTORS[capability](responseText, isStream, headers);
} catch (error) {
logger.debug("Failed to extract AI usage from response", {
capability,
error
});
return null;
}
}
/**
* Best-guess token estimate for when the provider doesn't report usage.
* Uses OpenAI's BPE tokenizer as a stand-in for whatever tokenizer the
* actual model uses - close enough for an approximate cost figure, not
* exact for non-OpenAI models.
*/
export function estimateUsage(
promptText: string,
completionText: string
): AiUsage {
const usage = emptyUsage();
usage.estimated = true;
try {
usage.promptTokens = promptText ? encode(promptText).length : 0;
} catch (error) {
logger.debug("Failed to estimate prompt tokens", { error });
}
try {
usage.completionTokens = completionText
? encode(completionText).length
: 0;
} catch (error) {
logger.debug("Failed to estimate completion tokens", { error });
}
return usage;
}
/**
* OpenAI's Chat Completions API only includes a `usage` field in a
* streaming response when the request opts in via `stream_options:
* {include_usage: true}` - unlike the Responses API, Anthropic, Gemini and
* Bedrock, which report usage in a streaming response by default. Returns
* whether we need to inject that option ourselves to be able to track cost.
*/
export function needsStreamUsageInjection(
capability: AiCapability,
body: any
): boolean {
return (
capability === "openai_chat" &&
body?.stream === true &&
body?.stream_options?.include_usage !== true
);
}
/**
* Returns a shallow-cloned body with `stream_options.include_usage`
* injected, for capabilities/requests where `needsStreamUsageInjection`
* is true. Leaves the original body untouched.
*/
export function withStreamUsageOption(body: any): any {
return {
...body,
stream_options: { ...body.stream_options, include_usage: true }
};
}
/**
* When we injected stream_options.include_usage ourselves (the caller
* didn't ask for it), OpenAI appends an extra terminal SSE frame with an
* empty `choices: []` array carrying only the usage data. Callers that
* don't expect that shape (most minimal SSE parsers assume a non-empty
* choices array) shouldn't see it, so it's stripped back out of the bytes
* forwarded to the client.
*/
export function stripInjectedUsageFrame(sseText: string): string {
const parts = sseText.split(/(\r?\n\r?\n)/);
let out = "";
for (let i = 0; i < parts.length; i += 2) {
const frame = parts[i];
const separator = parts[i + 1] ?? "";
const dataLine = frame
.split(/\r?\n/)
.find((line) => line.startsWith("data:"));
if (dataLine) {
const data = dataLine.slice("data:".length).trim();
const parsed = data !== "[DONE]" ? tryParseJson(data) : null;
if (
parsed &&
Array.isArray(parsed.choices) &&
parsed.choices.length === 0 &&
parsed.usage
) {
continue;
}
}
out += frame + separator;
}
return out;
}
/**
* Best-effort extraction of the model the upstream provider actually
* served, which some gateways/routers echo back and which may differ from
* the model the caller requested (e.g. an alias resolving to a dated
* snapshot). Falls back to the caller's requested model when absent.
*/
export function extractResponseModel(responseText: string): string | null {
const match = responseText.match(/"model"\s*:\s*"([^"]+)"/);
return match ? match[1] : null;
}
export function isUsageEmpty(usage: AiUsage): boolean {
return (
usage.promptTokens === 0 &&
usage.cacheReadTokens === 0 &&
usage.cacheWriteTokens === 0 &&
usage.completionTokens === 0 &&
usage.reasoningTokens === 0
);
}
@@ -202,6 +202,10 @@ async function handleResource(
return;
}
if (!target.resourceId) {
return;
}
const [resource] = await trx
.select()
.from(resources)
@@ -227,9 +231,7 @@ async function handleResource(
let health = "healthy";
const allUnknown = monitoredTargets.length === 0;
const allHealthy = monitoredTargets.every(
(t) => t.hcHealth === "healthy"
);
const allHealthy = monitoredTargets.every((t) => t.hcHealth === "healthy");
const allUnhealthy = monitoredTargets.every(
(t) => t.hcHealth === "unhealthy"
);
-1
View File
@@ -632,7 +632,6 @@ export const ResourcePolicySchema = z.object({
})
)
)
.max(50)
.transform((v) => v.map((e) => e.toLowerCase()))
.optional()
.default([]),
+15 -15
View File
@@ -10,12 +10,12 @@ export const localCache = new NodeCache({
});
// Log cache statistics periodically for monitoring
setInterval(() => {
const stats = localCache.getStats();
logger.debug(
`Local cache stats - Keys: ${stats.keys}, Hits: ${stats.hits}, Misses: ${stats.misses}, Hit rate: ${stats.hits > 0 ? ((stats.hits / (stats.hits + stats.misses)) * 100).toFixed(2) : 0}%`
);
}, 300000); // Every 5 minutes
// setInterval(() => {
// const stats = localCache.getStats();
// logger.debug(
// `Local cache stats - Keys: ${stats.keys}, Hits: ${stats.hits}, Misses: ${stats.misses}, Hit rate: ${stats.hits > 0 ? ((stats.hits / (stats.hits + stats.misses)) * 100).toFixed(2) : 0}%`
// );
// }, 300000); // Every 5 minutes
/**
* Adaptive cache that uses Redis when available in multi-node environments,
@@ -34,9 +34,9 @@ class AdaptiveCache {
// Use local cache as fallback or primary
const success = localCache.set(key, value, effectiveTtl || 0);
if (success) {
logger.debug(`Set key in local cache: ${key}`);
}
// if (success) {
// logger.debug(`Set key in local cache: ${key}`);
// }
return success;
}
@@ -48,11 +48,11 @@ class AdaptiveCache {
async get<T = any>(key: string): Promise<T | undefined> {
// Use local cache as fallback or primary
const value = localCache.get<T>(key);
if (value !== undefined) {
logger.debug(`Cache hit in local cache: ${key}`);
} else {
logger.debug(`Cache miss in local cache: ${key}`);
}
// if (value !== undefined) {
// logger.debug(`Cache hit in local cache: ${key}`);
// } else {
// logger.debug(`Cache miss in local cache: ${key}`);
// }
return value;
}
@@ -168,5 +168,5 @@ class AdaptiveCache {
// Export singleton instance
export const cache = new AdaptiveCache();
export const regionalCache = cache; // Alias for compatability with the private version
export const regionalCache = cache; // Alias for compatibility with the private version
export default cache;
-14
View File
@@ -339,19 +339,6 @@ export async function calculateUserClientsForOrgs(
continue;
}
// Get exit nodes for this org
const exitNodesList = await getExitNodes(orgId);
if (exitNodesList.length === 0) {
logger.warn(
`Skipping org ${orgId} for OLM ${olm.olmId} (user ${userId}): no exit nodes found`
);
continue;
}
const randomExitNode =
exitNodesList[Math.floor(Math.random() * exitNodesList.length)];
// Get next available subnet
const { value: newSubnet, release: releaseSubnetLock } =
await getNextAvailableClientSubnet(orgId, trx);
@@ -370,7 +357,6 @@ export async function calculateUserClientsForOrgs(
const newClientData: InferInsertModel<typeof clients> = {
userId,
orgId: userOrg.orgId,
exitNodeId: randomExitNode.exitNodeId,
name: olm.name || "User Client",
subnet: updatedSubnet,
olmId: olm.olmId,
+17 -4
View File
@@ -3,12 +3,14 @@ import { cleanUpOldLogs as cleanUpOldAccessLogs } from "#dynamic/lib/logAccessAu
import { cleanUpOldLogs as cleanUpOldActionLogs } from "#dynamic/middlewares/logActionAudit";
import { cleanUpOldLogs as cleanUpOldRequestLogs } from "@server/routers/badger/logRequestAudit";
import { cleanUpOldLogs as cleanUpOldConnectionLogs } from "#dynamic/routers/newt";
import { cleanUpOldLogs as cleanUpOldAiSessionLogs } from "@server/routers/aiGateway/logAiSession";
import { gt, or } from "drizzle-orm";
import { cleanUpOldFingerprintSnapshots } from "@server/routers/olm/fingerprintingUtils";
import { build } from "@server/build";
export function initLogCleanupInterval() {
if (build == "saas") { // skip log cleanup for saas builds
if (build == "saas") {
// skip log cleanup for saas builds
return null;
}
return setInterval(
@@ -23,7 +25,9 @@ export function initLogCleanupInterval() {
settingsLogRetentionDaysRequest:
orgs.settingsLogRetentionDaysRequest,
settingsLogRetentionDaysConnection:
orgs.settingsLogRetentionDaysConnection
orgs.settingsLogRetentionDaysConnection,
settingsLogRetentionDaysAISessions:
orgs.settingsLogRetentionDaysAISessions
})
.from(orgs)
.where(
@@ -31,7 +35,8 @@ export function initLogCleanupInterval() {
gt(orgs.settingsLogRetentionDaysAction, 0),
gt(orgs.settingsLogRetentionDaysAccess, 0),
gt(orgs.settingsLogRetentionDaysRequest, 0),
gt(orgs.settingsLogRetentionDaysConnection, 0)
gt(orgs.settingsLogRetentionDaysConnection, 0),
gt(orgs.settingsLogRetentionDaysAISessions, 0)
)
);
@@ -42,7 +47,8 @@ export function initLogCleanupInterval() {
settingsLogRetentionDaysAction,
settingsLogRetentionDaysAccess,
settingsLogRetentionDaysRequest,
settingsLogRetentionDaysConnection
settingsLogRetentionDaysConnection,
settingsLogRetentionDaysAISessions
} = org;
if (settingsLogRetentionDaysAction > 0) {
@@ -72,6 +78,13 @@ export function initLogCleanupInterval() {
settingsLogRetentionDaysConnection
);
}
if (settingsLogRetentionDaysAISessions > 0) {
await cleanUpOldAiSessionLogs(
orgId,
settingsLogRetentionDaysAISessions
);
}
}
await cleanUpOldFingerprintSnapshots(365);
+3
View File
@@ -93,6 +93,9 @@ export async function deleteOrgById(
await trx.delete(sites).where(eq(sites.siteId, site.siteId));
}
for (const client of orgClients) {
if (client.exitNodeId && client.pubKey) {
await deletePeer(client.exitNodeId, client.pubKey);
}
const [olm] = await trx
.select()
.from(olms)
+8 -1
View File
@@ -64,13 +64,20 @@ export async function performDeleteResources(
const targetsByResourceId = new Map<number, Target[]>();
for (const target of targetsToBeRemoved) {
if (target.resourceId == null) {
continue;
}
const existing = targetsByResourceId.get(target.resourceId) ?? [];
existing.push(target);
targetsByResourceId.set(target.resourceId, existing);
}
const targetIdToResourceId = new Map(
targetsToBeRemoved.map((target) => [target.targetId, target.resourceId])
targetsToBeRemoved.flatMap((target) =>
target.resourceId == null
? []
: [[target.targetId, target.resourceId] as const]
)
);
const healthChecksByResourceId = new Map<number, TargetHealthCheck[]>();
+5 -3
View File
@@ -1,4 +1,4 @@
import { and, eq, inArray, sql } from "drizzle-orm";
import { and, eq, inArray, isNotNull, sql } from "drizzle-orm";
import {
db,
resources,
@@ -33,9 +33,11 @@ export async function getResourceIdsForSite(
const rows = await trx
.selectDistinct({ resourceId: targets.resourceId })
.from(targets)
.where(eq(targets.siteId, siteId));
.where(and(eq(targets.siteId, siteId), isNotNull(targets.resourceId)));
return rows.map((row) => row.resourceId);
return rows
.map((row) => row.resourceId)
.filter((resourceId): resourceId is number => resourceId != null);
}
export async function getSiteResourceIdsForSite(
@@ -0,0 +1,40 @@
import { db, sites, clients } from "@server/db";
import { and, eq, count } from "drizzle-orm";
// (MAX_CONNECTIONS - current_connections) / MAX_CONNECTIONS)
// higher = more desirable
// like saying, this node has x% of its capacity left
export async function calculateExitNodeWeight(
exitNodeId: number,
maxConnections: number | null | undefined
): Promise<number | null> {
if (maxConnections === null || maxConnections === undefined) {
return 1;
}
const [[siteConnections], [clientConnections]] = await Promise.all([
db
.select({ count: count() })
.from(sites)
.where(
and(eq(sites.exitNodeId, exitNodeId), eq(sites.online, true))
),
db
.select({ count: count() })
.from(clients)
.where(
and(
eq(clients.exitNodeId, exitNodeId),
eq(clients.online, true)
)
)
]);
const currentConnections = siteConnections.count + clientConnections.count;
if (currentConnections >= maxConnections) {
return null;
}
return (maxConnections - currentConnections) / maxConnections;
}
+10 -1
View File
@@ -1,6 +1,5 @@
import { db, exitNodes, Transaction } from "@server/db";
import logger from "@server/logger";
import { ExitNodePingResult } from "@server/routers/newt";
import { eq } from "drizzle-orm";
export async function verifyExitNodeOrgAccess(
@@ -52,6 +51,16 @@ export async function listExitNodes(
return allExitNodes;
}
export type ExitNodePingResult = {
exitNodeId: number;
latencyMs: number;
weight: number;
error?: string;
exitNodeName: string;
endpoint: string;
wasPreviouslyConnected: boolean;
};
export function selectBestExitNode(
pingResults: ExitNodePingResult[]
): ExitNodePingResult | null {
@@ -0,0 +1,41 @@
import { db, ExitNode, Transaction, sites, clients } from "@server/db";
import { eq } from "drizzle-orm";
import config from "@server/lib/config";
import { findNextAvailableCidr } from "@server/lib/ip";
import { lockManager } from "#dynamic/lib/lock";
export async function getUniqueSubnetForExitNode(
exitNode: ExitNode,
trx: Transaction | typeof db = db
): Promise<string | null> {
const lockKey = `subnet-allocation:${exitNode.exitNodeId}`;
return await lockManager.withLock(
lockKey,
async () => {
const [sitesQuery, clientsQuery] = await Promise.all([
trx
.select({ subnet: sites.exitNodeSubnet })
.from(sites)
.where(eq(sites.exitNodeId, exitNode.exitNodeId)),
trx
.select({ subnet: clients.exitNodeSubnet })
.from(clients)
.where(eq(clients.exitNodeId, exitNode.exitNodeId))
]);
const blockSize = config.getRawConfig().gerbil.site_block_size;
const subnets = [...sitesQuery, ...clientsQuery]
.map((row) => row.subnet)
.filter(
(subnet): subnet is string =>
!!subnet &&
/^(\d{1,3}\.){3}\d{1,3}\/\d{1,2}$/.test(subnet)
);
subnets.push(exitNode.address.replace(/\/\d+$/, `/${blockSize}`));
return findNextAvailableCidr(subnets, blockSize, exitNode.address);
},
5000 // 5 second lock TTL - subnet allocation should be quick
);
}
+2
View File
@@ -2,3 +2,5 @@ export * from "./exitNodes";
export * from "./exitNodeComms";
export * from "./subnet";
export * from "./getCurrentExitNodeId";
export * from "./calculateExitNodeWeight";
export * from "./getUniqueSubnetForExitNode";
+21 -8
View File
@@ -528,7 +528,10 @@ export function generateRemoteSubnets(
export type Alias = { alias: string | null; aliasAddress: string | null };
export function generateAliasConfig(allSiteResources: SiteResource[]): Alias[] {
export function generateAliasConfig(
allSiteResources: SiteResource[],
overrideIp?: string
): Alias[] {
return allSiteResources
.filter(
(sr) =>
@@ -539,7 +542,7 @@ export function generateAliasConfig(allSiteResources: SiteResource[]): Alias[] {
)
.map((sr) => ({
alias: sr.alias || sr.fullDomain,
aliasAddress: sr.aliasAddress
aliasAddress: overrideIp || sr.aliasAddress
}));
}
@@ -660,9 +663,10 @@ export type CertRef = { id: string; cert: string; key: string };
* certificate (e.g. a wildcard cert used by thousands of site resources)
* only need that certificate sent once per sync message.
*/
export function dedupeCertsForTargets(
targetsV2: SubnetProxyTargetV2[]
): { targets: SubnetProxyTargetV2[]; certs: CertRef[] } {
export function dedupeCertsForTargets(targetsV2: SubnetProxyTargetV2[]): {
targets: SubnetProxyTargetV2[];
certs: CertRef[];
} {
const idByContent = new Map<string, string>();
const certs: CertRef[] = [];
@@ -674,7 +678,10 @@ export function dedupeCertsForTargets(
const contentKey = `${target.tlsCert}|${target.tlsKey}`;
let id = idByContent.get(contentKey);
if (!id) {
id = createHash("sha1").update(contentKey).digest("hex").slice(0, 16);
id = createHash("sha1")
.update(contentKey)
.digest("hex")
.slice(0, 16);
idByContent.set(contentKey, id);
certs.push({ id, cert: target.tlsCert, key: target.tlsKey });
}
@@ -708,7 +715,9 @@ export async function batchFetchCertsForSiteResources(
): Promise<CertByDomain> {
const domains = new Set(
allSiteResources
.filter((r) => r.enabled && r.mode === "http" && r.ssl && r.fullDomain)
.filter(
(r) => r.enabled && r.mode === "http" && r.ssl && r.fullDomain
)
.map((r) => r.fullDomain as string)
);
@@ -852,7 +861,11 @@ export async function generateSubnetProxyTargetV2(
new Set([siteResource.fullDomain]),
true
);
if (certs.length > 0 && certs[0].certFile && certs[0].keyFile) {
if (
certs.length > 0 &&
certs[0].certFile &&
certs[0].keyFile
) {
tlsCert = certs[0].certFile;
tlsKey = certs[0].keyFile;
} else {
+37
View File
@@ -79,7 +79,13 @@ export const configSchema = z
.default(3001)
.transform(stoi)
.pipe(portSchema),
ai_gateway_port: portSchema
.optional()
.default(3005)
.transform(stoi)
.pipe(portSchema),
badger_override: z.string().optional(),
ai_gateway_override: z.string().optional(),
next_port: portSchema
.optional()
.default(3002)
@@ -139,6 +145,7 @@ export const configSchema = z
integration_port: 3003,
external_port: 3000,
internal_port: 3001,
ai_gateway_port: 3005,
next_port: 3002,
internal_hostname: "pangolin",
session_cookie_name: "p_session_token",
@@ -394,6 +401,36 @@ export const configSchema = z
disable_enterprise_features: z.boolean().optional()
})
.optional(),
ai: z
.object({
model_catalog: z
.object({
upstream_url: z
.url()
.optional()
.default("https://api.fossorial.io/api/v1/models"),
// No default - only used when an operator wants to
// pin the catalog to a local file instead of
// fetching it from upstream_url.
file: z.string().optional(),
refresh_interval_min_hours: z
.number()
.positive()
.gt(0)
.optional()
.default(6),
refresh_interval_max_hours: z
.number()
.positive()
.gt(0)
.optional()
.default(12)
})
.optional()
.prefault({})
})
.optional()
.prefault({}),
dns: z
.object({
nameservers: z
+325 -6
View File
@@ -19,7 +19,7 @@ import {
userOrgRoles,
userSiteResources
} from "@server/db";
import { and, count, eq, inArray, ne } from "drizzle-orm";
import { and, count, eq, inArray, isNotNull, ne } from "drizzle-orm";
import { deletePeersBatch as newtDeletePeersBatch } from "@server/routers/newt/peers";
import {
@@ -27,6 +27,9 @@ import {
deletePeersBatch as olmDeletePeersBatch
} from "@server/routers/olm/peers";
import { sendToExitNode } from "#dynamic/lib/exitNodes";
import { sendToClientsBatch } from "#dynamic/routers/ws";
import { canCompress } from "@server/lib/clientVersionChecks";
import config from "@server/lib/config";
import logger from "@server/logger";
import {
generateAliasConfig,
@@ -187,7 +190,12 @@ export async function getClientSiteResourceAccess(
`rebuildClientAssociations: [getClientSiteResourceAccess] siteResourceId=${siteResource.siteResourceId} networkId=${siteResource.networkId} siteCount=${sitesList.length} siteIds=[${sitesList.map((s) => s.siteId).join(", ")}]`
);
if (sitesList.length === 0) {
if (sitesList.length === 0 && siteResource.networkId !== null) {
// A site resource with a networkId is expected to have at least one
// site attached via siteNetworks. Resources with no networkId (e.g.
// inference-mode resources, which connect clients directly to the
// exit node instead of any site) are expected to have no sites, so
// don't warn for those.
logger.warn(
`No sites found for siteResource ${siteResource.siteResourceId} with networkId ${siteResource.networkId}`
);
@@ -687,6 +695,22 @@ async function rebuildClientAssociationsFromSiteResourceImpl(
clientSiteResourcesToRemove,
trx
);
// If this resource requires clients to be connected to the exit node
// (e.g. an inference resource), re-sync the connect/disconnect state for
// every client whose access to it may have changed - both those who
// currently have access and those who just lost it.
if (siteResource.requiresExitNodeConnection) {
await syncClientExitNodeConnections(
Array.from(
new Set([
...mergedAllClientIds,
...existingClientSiteResourceIds
])
),
trx
);
}
}
async function handleMessagesForSiteClients(
@@ -966,7 +990,7 @@ export async function updateClientSiteDestinations(
.where(eq(clientSitesAssociationsCache.clientId, client.clientId));
for (const site of sitesData) {
if (!site.sites.subnet) {
if (!site.sites.exitNodeSubnet) {
logger.debug(`Site ${site.sites.siteId} has no subnet, skipping`);
continue;
}
@@ -1002,7 +1026,7 @@ export async function updateClientSiteDestinations(
sourcePort: parsedEndpoint.port,
destinations: [
{
destinationIP: site.sites.subnet.split("/")[0],
destinationIP: site.sites.exitNodeSubnet.split("/")[0],
destinationPort: site.sites.listenPort || 1 // this satisfies gerbil for now but should be reevaluated
}
]
@@ -1010,7 +1034,7 @@ export async function updateClientSiteDestinations(
} else {
// add to the existing destinations
destinations.destinations.push({
destinationIP: site.sites.subnet.split("/")[0],
destinationIP: site.sites.exitNodeSubnet.split("/")[0],
destinationPort: site.sites.listenPort || 1 // this satisfies gerbil for now but should be reevaluated
});
}
@@ -1052,6 +1076,265 @@ export async function updateClientSiteDestinations(
}
}
// Determines, for each of the given clients, whether they currently have
// access to any enabled site resource with requiresExitNodeConnection set
// (e.g. an inference-mode resource) and tells the client's olm to connect to
// or disconnect from its assigned exit node accordingly. Site resources with
// requiresExitNodeConnection don't belong to any site/network, so this can't
// be derived from the per-site peer logic above - it has to be recomputed
// from the client's full current resource access every time that access
// changes.
async function syncClientExitNodeConnections(
clientIds: number[],
trx: Transaction | typeof db = db
): Promise<void> {
const uniqueClientIds = Array.from(new Set(clientIds));
if (uniqueClientIds.length === 0) {
return;
}
// Only clients with an exit node assigned can be told to connect/disconnect.
const clientsData = await trx
.select({
clientId: clients.clientId,
exitNodeId: clients.exitNodeId,
exitNodeSubnet: clients.exitNodeSubnet
})
.from(clients)
.where(
and(
inArray(clients.clientId, uniqueClientIds),
isNotNull(clients.exitNodeId)
)
);
if (clientsData.length === 0) {
return;
}
const clientIdsWithExitNode = clientsData.map((c) => c.clientId);
const requiresExitNodeRows = await trx
.select({
clientId: clientSiteResourcesAssociationsCache.clientId,
alias: siteResources.alias,
fullDomain: siteResources.fullDomain
})
.from(clientSiteResourcesAssociationsCache)
.innerJoin(
siteResources,
eq(
clientSiteResourcesAssociationsCache.siteResourceId,
siteResources.siteResourceId
)
)
.where(
and(
inArray(
clientSiteResourcesAssociationsCache.clientId,
clientIdsWithExitNode
),
eq(siteResources.enabled, true),
eq(siteResources.requiresExitNodeConnection, true)
)
);
const needsConnectSet = new Set(
requiresExitNodeRows.map((r) => r.clientId)
);
// Aliases for every exit-node-backed resource this client can reach, so
// the live connect push carries the same alias list the register/reconnect
// path (buildSiteConfigurationForOlmClient) would compute.
const exitNodeAliasesByClientId = new Map<number, (string | null)[]>();
for (const row of requiresExitNodeRows) {
if (row.alias == null && row.fullDomain == null) continue;
const existing = exitNodeAliasesByClientId.get(row.clientId);
if (existing) {
existing.push(row.fullDomain || row.alias); // accept both for now in case we have other resource types that dont use the full domain
} else {
exitNodeAliasesByClientId.set(row.clientId, [
row.fullDomain || row.alias
]);
}
}
const exitNodeIds = Array.from(
new Set(
clientsData
.map((c) => c.exitNodeId)
.filter((id): id is number => id !== null)
)
);
const exitNodeRows =
exitNodeIds.length > 0
? await trx
.select()
.from(exitNodes)
.where(inArray(exitNodes.exitNodeId, exitNodeIds))
: [];
const exitNodeById = new Map(exitNodeRows.map((n) => [n.exitNodeId, n]));
const olmRows = await trx
.select({
clientId: olms.clientId,
olmId: olms.olmId,
version: olms.version
})
.from(olms)
.where(inArray(olms.clientId, clientIdsWithExitNode));
const olmByClientId = new Map(
olmRows
.filter((r) => r.clientId !== null)
.map((r) => [r.clientId as number, r])
);
const relayPort = config.getRawConfig().gerbil.clients_start_port;
const connectPayloads: {
clientId: string;
message: { type: string; data: any };
options: { compress: boolean; incrementConfigVersion: boolean };
}[] = [];
const disconnectPayloads: {
clientId: string;
message: { type: string; data: any };
options: { compress: boolean; incrementConfigVersion: boolean };
}[] = [];
for (const client of clientsData) {
const olm = olmByClientId.get(client.clientId);
if (!olm) {
// No olm registered for this client yet/anymore, nothing to send.
continue;
}
const needsConnect = needsConnectSet.has(client.clientId);
if (needsConnect) {
const exitNode = client.exitNodeId
? exitNodeById.get(client.exitNodeId)
: undefined;
if (!exitNode || !client.exitNodeSubnet) {
logger.warn(
`rebuildClientAssociations: [syncClientExitNodeConnections] client ${client.clientId} needs an exit node connection but has no exit node or subnet assigned`
);
continue;
}
connectPayloads.push({
clientId: olm.olmId,
message: {
type: "olm/wg/exitnode/connect",
data: {
connect: true,
endpoint: `${exitNode.endpoint}:${exitNode.listenPort}`,
relayPort,
publicKey: exitNode.publicKey,
serverIP: exitNode.address.split("/")[0],
tunnelIP: client.exitNodeSubnet.split("/")[0],
aliases:
exitNodeAliasesByClientId.get(client.clientId) ?? []
}
},
options: {
compress: canCompress(olm.version, "olm"),
incrementConfigVersion: true
}
});
} else {
disconnectPayloads.push({
clientId: olm.olmId,
message: {
type: "olm/wg/exitnode/disconnect",
data: {}
},
options: {
compress: canCompress(olm.version, "olm"),
incrementConfigVersion: true
}
});
}
}
if (connectPayloads.length > 0) {
await sendToClientsBatch(connectPayloads).catch((error) => {
logger.error(
`rebuildClientAssociations: Error sending exit node connect messages:`,
error
);
});
}
if (disconnectPayloads.length > 0) {
await sendToClientsBatch(disconnectPayloads).catch((error) => {
logger.error(
`rebuildClientAssociations: Error sending exit node disconnect messages:`,
error
);
});
}
}
// Notifies the olms of every given client that the alias of the site resource
// they're using an exit node connection for has changed, via the dedicated
// exit node data-update message. Unlike syncClientExitNodeConnections, this
// doesn't touch connect/disconnect state - it's purely a rename for clients
// that are (and remain) connected to the exit node for this resource.
async function syncClientExitNodeAliasUpdate(
clientIds: number[],
oldAlias: string | null,
newAlias: string | null,
trx: Transaction | typeof db = db
): Promise<void> {
const uniqueClientIds = Array.from(new Set(clientIds));
if (uniqueClientIds.length === 0) {
return;
}
const oldAliases = oldAlias ? [oldAlias] : [];
const newAliases = newAlias ? [newAlias] : [];
if (oldAliases.length === 0 && newAliases.length === 0) {
return;
}
const olmRows = await trx
.select({
clientId: olms.clientId,
olmId: olms.olmId,
version: olms.version
})
.from(olms)
.where(inArray(olms.clientId, uniqueClientIds));
const updatePayloads = olmRows
.filter((r) => r.clientId !== null)
.map((olm) => ({
clientId: olm.olmId,
message: {
type: "olm/wg/exitnode/data/update",
data: {
oldAliases,
newAliases
}
},
options: {
compress: canCompress(olm.version, "olm"),
incrementConfigVersion: true // this is important information we would need to sync
}
}));
if (updatePayloads.length > 0) {
await sendToClientsBatch(updatePayloads).catch((error) => {
logger.error(
`rebuildClientAssociations: Error sending exit node alias update messages:`,
error
);
});
}
}
async function handleSubnetProxyTargetUpdates(
siteResource: SiteResource,
sitesList: Site[],
@@ -1282,7 +1565,7 @@ export async function handleMessagingForUpdatedSiteResource(
`handleMessagingForUpdatedSiteResource: fetched newts for ${newtsForSites.length}/${allSiteIds.length} site(s)`
);
// WARNING: THIS RELIES ON THE CACHE TABLES BEING UP TO DATE, SO CALL THIS AFTER THE ASSOCIATION CACHE IS UPDATED
// !!!!!!!!!!!!!!!!!! WARNING: THIS RELIES ON THE CACHE TABLES BEING UP TO DATE, SO CALL THIS AFTER THE ASSOCIATION CACHE IS UPDATED !!!!!!!!!!!!!!!!!!
const mergedAllClients = await trx
.select({
clientId: clientSiteResourcesAssociationsCache.clientId,
@@ -1709,6 +1992,38 @@ export async function handleMessagingForUpdatedSiteResource(
);
}
// For a resource that stays on an exit node connection across the update,
// the alias is the only field that affects already-connected clients (the
// exit node itself, its endpoint, etc. are not per-resource). Tell those
// clients' olms about the rename directly via the exit node data-update
// message rather than a full connect/disconnect cycle.
if (
existingSiteResource?.requiresExitNodeConnection &&
updatedSiteResource.requiresExitNodeConnection &&
aliasChanged
) {
await syncClientExitNodeAliasUpdate(
mergedAllClients.map((c) => c.clientId),
existingSiteResource.alias,
updatedSiteResource.alias,
trx
);
}
// If this resource requires (or required) clients to be connected to the
// exit node (e.g. an inference resource), re-sync connect/disconnect
// state for every client currently associated with it - covers toggling
// requiresExitNodeConnection on update as well as enabling/disabling it.
if (
updatedSiteResource.requiresExitNodeConnection ||
existingSiteResource?.requiresExitNodeConnection
) {
await syncClientExitNodeConnections(
mergedAllClients.map((c) => c.clientId),
trx
);
}
logger.debug(
`handleMessagingForUpdatedSiteResource: DONE siteResourceId=${updatedSiteResource.siteResourceId}`
);
@@ -1990,6 +2305,10 @@ async function rebuildClientAssociationsFromClientImpl(
resourcesToRemove,
trx
);
// Re-sync exit node connect/disconnect state based on this client's
// current full set of resource access (e.g. inference resources).
await syncClientExitNodeConnections([client.clientId], trx);
}
async function handleMessagesForClientSites(
+7 -1
View File
@@ -516,6 +516,11 @@ export class TraefikConfigManager {
const maintenanceHost =
config.getRawConfig().server.internal_hostname;
const pangolinUIUrl = `http://${maintenanceHost}:${maintenancePort}`;
const aiGatewayUrl =
config.getRawConfig().server.ai_gateway_override ||
`http://${maintenanceHost}:${
config.getRawConfig().server.ai_gateway_port
}`;
// logger.debug(`Fetching traefik config for exit node: ${currentExitNode}`);
traefikConfig = await getTraefikConfig(
@@ -528,7 +533,8 @@ export class TraefikConfigManager {
? false
: config.getRawConfig().traefik.allow_raw_resources, // dont allow raw resources on saas otherwise use config
pangolinUIUrl, // generate maintenance pages on cloud and hybrid
pangolinUIUrl // generate browser gateway targets on cloud and hybrid
pangolinUIUrl, // generate browser gateway targets on cloud and hybrid
aiGatewayUrl
);
const domains = new Set<string>();
+287 -4
View File
@@ -1,4 +1,12 @@
import { db, targetHealthCheck, domains } from "@server/db";
import {
db,
targetHealthCheck,
domains,
aiProviders,
resourceAiProviders,
siteResources,
exitNodes
} from "@server/db";
import {
and,
eq,
@@ -15,6 +23,7 @@ import config from "@server/lib/config";
import { resources, sites, Target, targets } from "@server/db";
import createPathRewriteMiddleware from "./middleware";
import { sanitize, encodePath, validatePathRewriteConfig } from "./utils";
import regionalCache from "@server/lib/cache";
const redirectHttpsMiddlewareName = "redirect-to-https";
const badgerMiddlewareName = "badger";
@@ -45,8 +54,24 @@ export async function getTraefikConfig(
generateLoginPageRouters = false, // UNUSED BUT USED IN PRIVATE
allowRawResources = true,
maintenancePageUiUrl: string | null = null, // UNUSED BUT USED IN PRIVATE
browserGatewayUiUrl: string | null = null // UNUSED BUT USED IN PRIVATE
browserGatewayUiUrl: string | null = null, // UNUSED BUT USED IN PRIVATE
aiGatewayUrl: string | null = null
): Promise<any> {
// Get the exit node but cache it for 5 minutes to avoid hitting the DB too often
const exitNodeCacheKey = `exitNode:${exitNodeId}`;
let exitNode =
await regionalCache.get<typeof exitNodes.$inferSelect>(
exitNodeCacheKey
);
if (!exitNode) {
[exitNode] = await db
.select()
.from(exitNodes)
.where(eq(exitNodes.exitNodeId, exitNodeId))
.limit(1);
await regionalCache.set(exitNodeCacheKey, exitNode, 300);
}
// Get resources with their targets and sites in a single optimized query
// Start from sites on this exit node, then join to targets and resources
const resourcesWithTargetsAndSites = await db
@@ -87,7 +112,7 @@ export async function getTraefikConfig(
siteId: sites.siteId,
siteType: sites.type,
siteOnline: sites.online,
subnet: sites.subnet,
subnet: sites.exitNodeSubnet,
exitNodeId: sites.exitNodeId,
// Domain cert resolver fields
domainCertResolver: domains.certResolver,
@@ -209,8 +234,42 @@ export async function getTraefikConfig(
});
});
// Inference-mode resources have no targets/sites (their "backend" is the
// central AI gateway), so they can't be reached via the targets->sites
// join above - query them separately and include them on every exit node.
const inferenceResources = await db
.selectDistinct({
resourceId: resources.resourceId,
resourceName: resources.name,
fullDomain: resources.fullDomain,
ssl: resources.ssl,
subdomain: resources.subdomain,
domainId: resources.domainId,
enabled: resources.enabled,
wildcard: resources.wildcard,
domainCertResolver: domains.certResolver,
preferWildcardCert: domains.preferWildcardCert
})
.from(resources)
// .innerJoin(
// resourceAiProviders,
// eq(resources.resourceId, resourceAiProviders.resourceId)
// )
// .innerJoin(
// aiProviders,
// eq(resourceAiProviders.providerId, aiProviders.providerId)
// )
.leftJoin(domains, eq(domains.domainId, resources.domainId))
.where(
and(
eq(resources.mode, "inference"),
eq(resources.enabled, true)
// eq(aiProviders.enabled, true)
)
);
// make sure we have at least one resource
if (resourcesMap.size === 0) {
if (resourcesMap.size === 0 && inferenceResources.length === 0) {
return {};
}
@@ -673,5 +732,229 @@ export async function getTraefikConfig(
};
}
}
if (aiGatewayUrl) {
// The AI gateway may live on a different host than the inference
// resource itself (e.g. a remote exit node forwarding to the
// central dashboard over a tunnel). passHostHeader would forward
// the resource's own Host, which that external host won't
// recognize, so we pin the Host header to the gateway's own host
// and smuggle the original resource host through in "p-host"
// instead.
let aiGatewayHost: string | undefined;
try {
aiGatewayHost = new URL(aiGatewayUrl).host;
} catch {
aiGatewayHost = undefined;
}
// Public inference resources: same TLS/cert-resolver handling as
// plain http-mode resources, but the service points at the AI
// gateway instead of any real backend targets.
for (const ir of inferenceResources) {
if (!ir.enabled) continue;
if (!ir.domainId || !ir.fullDomain) continue;
if (!config_output.http.routers) config_output.http.routers = {};
if (!config_output.http.services) config_output.http.services = {};
const fullDomain = ir.fullDomain;
const irKey = `inference-r${ir.resourceId}`;
const routerName = `${irKey}-router`;
const serviceName = `${irKey}-service`;
let rule: string;
if (ir.wildcard && fullDomain.startsWith("*.")) {
const escaped = fullDomain.slice(2).replace(/\./g, "\\.");
rule = `HostRegexp(\`^[^.]+\\.${escaped}$\`)`;
} else {
rule = `Host(\`${fullDomain}\`)`;
}
const domainParts = fullDomain.split(".");
let wildCard;
if (domainParts.length <= 2) {
wildCard = `*.${domainParts.join(".")}`;
} else {
wildCard = `*.${domainParts.slice(1).join(".")}`;
}
if (!ir.subdomain) {
wildCard = fullDomain;
}
const globalDefaultResolver =
config.getRawConfig().traefik.cert_resolver;
const globalDefaultPreferWildcard =
config.getRawConfig().traefik.prefer_wildcard_cert;
const resolverName = ir.domainCertResolver
? ir.domainCertResolver.trim()
: globalDefaultResolver;
const preferWildcard =
ir.preferWildcardCert !== undefined &&
ir.preferWildcardCert !== null
? ir.preferWildcardCert
: globalDefaultPreferWildcard;
const tls = {
certResolver: resolverName,
...(preferWildcard ? { domains: [{ main: wildCard }] } : {})
};
const irHeadersMiddlewareName = `${irKey}-headers-middleware`;
if (!config_output.http.middlewares) {
config_output.http.middlewares = {};
}
config_output.http.middlewares[irHeadersMiddlewareName] = {
headers: {
customRequestHeaders: {
...(aiGatewayHost ? { Host: aiGatewayHost } : {}),
"p-host": fullDomain
}
}
};
const additionalMiddlewares =
config.getRawConfig().traefik.additional_middlewares || [];
const routerMiddlewares = [
badgerMiddlewareName,
irHeadersMiddlewareName,
...additionalMiddlewares
];
if (ir.ssl) {
config_output.http.routers[routerName + "-redirect"] = {
entryPoints: [
config.getRawConfig().traefik.http_entrypoint
],
middlewares: [redirectHttpsMiddlewareName],
service: serviceName,
rule,
priority: 100
};
}
config_output.http.routers[routerName] = {
entryPoints: [
ir.ssl
? config.getRawConfig().traefik.https_entrypoint
: config.getRawConfig().traefik.http_entrypoint
],
middlewares: routerMiddlewares,
service: serviceName,
rule,
priority: 100,
...(ir.ssl ? { tls } : {})
};
config_output.http.services[serviceName] = {
loadBalancer: {
servers: [{ url: aiGatewayUrl }]
}
};
}
// Private (siteResource) inference resources: routed by their alias
// instead of a public fullDomain, and deliberately WITHOUT the
// badger middleware - no per-user auth/policy stack exists for
// siteResources today, so gating here is reachability-only for now.
const siteResourcesInference = await db
.selectDistinct({
siteResourceId: siteResources.siteResourceId,
fullDomain: siteResources.fullDomain,
ssl: siteResources.ssl,
enabled: siteResources.enabled
})
.from(siteResources)
.where(
and(
eq(siteResources.mode, "inference"),
eq(siteResources.enabled, true),
isNotNull(siteResources.fullDomain)
)
);
for (const sr of siteResourcesInference) {
if (!sr.enabled || !sr.fullDomain) continue;
if (!config_output.http.routers) config_output.http.routers = {};
if (!config_output.http.services) config_output.http.services = {};
const fullDomain = sr.fullDomain;
const srKey = `inference-sr${sr.siteResourceId}`;
const routerName = `${srKey}-router`;
const serviceName = `${srKey}-service`;
const rule = `Host(\`${fullDomain}\`) && ClientIP(${exitNode.address})`; // restrict to coming from the exit node ip range that the client is connected to
const domainParts = fullDomain.split(".");
const wildCard =
domainParts.length <= 2
? `*.${domainParts.join(".")}`
: `*.${domainParts.slice(1).join(".")}`;
const globalDefaultResolver =
config.getRawConfig().traefik.cert_resolver;
const globalDefaultPreferWildcard =
config.getRawConfig().traefik.prefer_wildcard_cert;
const tls = {
certResolver: globalDefaultResolver,
...(globalDefaultPreferWildcard
? { domains: [{ main: wildCard }] }
: {})
};
const srHeadersMiddlewareName = `${srKey}-headers-middleware`;
if (!config_output.http.middlewares) {
config_output.http.middlewares = {};
}
config_output.http.middlewares[srHeadersMiddlewareName] = {
headers: {
customRequestHeaders: {
...(aiGatewayHost ? { Host: aiGatewayHost } : {}),
"p-host": fullDomain
}
}
};
const additionalMiddlewares =
config.getRawConfig().traefik.additional_middlewares || [];
const routerMiddlewares = [
srHeadersMiddlewareName,
...additionalMiddlewares
];
if (sr.ssl) {
config_output.http.routers[routerName + "-redirect"] = {
entryPoints: [
config.getRawConfig().traefik.http_entrypoint
],
middlewares: [redirectHttpsMiddlewareName],
service: serviceName,
rule,
priority: 100
};
}
config_output.http.routers[routerName] = {
entryPoints: [
sr.ssl
? config.getRawConfig().traefik.https_entrypoint
: config.getRawConfig().traefik.http_entrypoint
],
middlewares: routerMiddlewares,
service: serviceName,
rule,
priority: 100,
...(sr.ssl ? { tls } : {})
};
config_output.http.services[serviceName] = {
loadBalancer: {
servers: [{ url: aiGatewayUrl }]
}
};
}
}
return config_output;
}
+219
View File
@@ -0,0 +1,219 @@
import {
generateId,
generateIdFromEntropySize
} from "@server/auth/sessions/app";
import {
db,
resources,
virtualApiKeyResources,
virtualApiKeys,
type Transaction,
type VirtualApiKey
} from "@server/db";
import config from "@server/lib/config";
import { decrypt, encrypt } from "@server/lib/crypto";
import { and, eq, inArray } from "drizzle-orm";
export type MintedVirtualApiKeySecret = {
virtualApiKeyId: string;
secret: string;
lastChars: string;
};
export type PublicVirtualApiKey = Omit<VirtualApiKey, "token"> & {
secret?: string;
};
export function mintVirtualApiKeySecret(): MintedVirtualApiKeySecret {
const secret = generateIdFromEntropySize(16);
return {
virtualApiKeyId: generateId(8),
secret,
lastChars: secret.slice(-4)
};
}
export function encryptVirtualApiKeyToken(secret: string): string {
return encrypt(secret, config.getRawConfig().server.secret!);
}
export function decryptVirtualApiKeyToken(ciphertext: string): string {
return decrypt(ciphertext, config.getRawConfig().server.secret!);
}
export function toPublicVirtualApiKey(
row: VirtualApiKey,
options?: { includeSecret?: boolean }
): PublicVirtualApiKey {
const { token, ...rest } = row;
if (!options?.includeSecret) {
return rest;
}
return {
...rest,
secret: decryptVirtualApiKeyToken(token)
};
}
export async function assertManualKeyResourcesInOrg(params: {
allResources: boolean;
resourceIds: number[];
orgId: string;
}): Promise<{ ok: true } | { ok: false; message: string }> {
const { allResources, resourceIds, orgId } = params;
if (allResources) {
return { ok: true };
}
if (resourceIds.length === 0) {
return {
ok: false,
message:
"Select at least one public inference resource, or enable all public inference resources"
};
}
const uniqueIds = [...new Set(resourceIds)];
const rows = await db
.select({ resourceId: resources.resourceId })
.from(resources)
.where(
and(
eq(resources.orgId, orgId),
eq(resources.mode, "inference"),
inArray(resources.resourceId, uniqueIds)
)
);
if (rows.length !== uniqueIds.length) {
return {
ok: false,
message:
"One or more resources are invalid public inference resources for this organization"
};
}
return { ok: true };
}
export async function replaceVirtualApiKeyResources(
trx: Transaction | typeof db,
virtualApiKeyId: string,
resourceIds: number[]
): Promise<void> {
await trx
.delete(virtualApiKeyResources)
.where(eq(virtualApiKeyResources.virtualApiKeyId, virtualApiKeyId));
const uniqueIds = [...new Set(resourceIds)];
if (uniqueIds.length === 0) {
return;
}
await trx.insert(virtualApiKeyResources).values(
uniqueIds.map((resourceId) => ({
virtualApiKeyId,
resourceId
}))
);
}
async function selectUserVirtualApiKey(
orgId: string,
userId: string
): Promise<VirtualApiKey | null> {
const [existing] = await db
.select()
.from(virtualApiKeys)
.where(
and(
eq(virtualApiKeys.orgId, orgId),
eq(virtualApiKeys.userId, userId),
eq(virtualApiKeys.kind, "user")
)
)
.limit(1);
return existing ?? null;
}
export async function getOrCreateUserVirtualApiKey(params: {
orgId: string;
userId: string;
createdByUserId?: string | null;
}): Promise<{ key: VirtualApiKey; secret: string }> {
const { orgId, userId, createdByUserId } = params;
const existing = await selectUserVirtualApiKey(orgId, userId);
if (existing) {
return {
key: existing,
secret: decryptVirtualApiKeyToken(existing.token)
};
}
const minted = mintVirtualApiKeySecret();
const now = Date.now();
try {
const [created] = await db
.insert(virtualApiKeys)
.values({
virtualApiKeyId: minted.virtualApiKeyId,
orgId,
kind: "user",
userId,
name: null,
description: null,
token: encryptVirtualApiKeyToken(minted.secret),
lastChars: minted.lastChars,
allResources: false,
expiresAt: null,
lastUsedAt: null,
createdAt: now,
createdByUserId: createdByUserId ?? null
})
.returning();
return { key: created, secret: minted.secret };
} catch {
const raced = await selectUserVirtualApiKey(orgId, userId);
if (raced) {
return {
key: raced,
secret: decryptVirtualApiKeyToken(raced.token)
};
}
throw new Error("Failed to create user virtual API key");
}
}
export async function rotateUserVirtualApiKey(params: {
orgId: string;
userId: string;
createdByUserId?: string | null;
}): Promise<{ key: VirtualApiKey; secret: string }> {
const { orgId, userId, createdByUserId } = params;
const existing = await selectUserVirtualApiKey(orgId, userId);
if (!existing) {
return getOrCreateUserVirtualApiKey(params);
}
const minted = mintVirtualApiKeySecret();
const [updated] = await db
.update(virtualApiKeys)
.set({
token: encryptVirtualApiKeyToken(minted.secret),
lastChars: minted.lastChars,
createdByUserId:
createdByUserId !== undefined
? createdByUserId
: existing.createdByUserId
})
.where(eq(virtualApiKeys.virtualApiKeyId, existing.virtualApiKeyId))
.returning();
return { key: updated, secret: minted.secret };
}
+4
View File
@@ -27,6 +27,10 @@ export * from "./verifyUserHasAction";
export * from "./verifyApiKeyAccess";
export * from "./verifySiteProvisioningKeyAccess";
export * from "./verifyDomainAccess";
export * from "./verifyAiProviderAccess";
export * from "./verifyAiModelAccess";
export * from "./verifyAiBudgetAccess";
export * from "./verifyVirtualApiKeyAccess";
export * from "./verifyUserIsOrgOwner";
export * from "./verifyUserFromResourceSession";
export * from "./verifySiteResourceAccess";
+3
View File
@@ -16,5 +16,8 @@ export * from "./verifyApiKeyClientAccess";
export * from "./verifyApiKeySiteResourceAccess";
export * from "./verifyApiKeyIdpAccess";
export * from "./verifyApiKeyDomainAccess";
export * from "./verifyApiKeyAiProviderAccess";
export * from "./verifyApiKeyAiModelAccess";
export * from "./verifyApiKeyResourcePolicyAccess";
export * from "./verifyApiKeySiteProvisioningKeyAccess";
export * from "./verifyVirtualApiKeyAccess";
@@ -0,0 +1,94 @@
import { Request, Response, NextFunction } from "express";
import { aiModels, aiProviders, apiKeyOrg, db } from "@server/db";
import { and, eq } from "drizzle-orm";
import createHttpError from "http-errors";
import HttpCode from "@server/types/HttpCode";
import { getFirstString } from "@server/lib/requestParams";
export async function verifyApiKeyAiModelAccess(
req: Request,
res: Response,
next: NextFunction
) {
try {
const apiKey = req.apiKey;
const modelIdRaw = getFirstString(req.params.modelId);
const modelId = Number.parseInt(modelIdRaw ?? "", 10);
if (!apiKey) {
return next(
createHttpError(HttpCode.UNAUTHORIZED, "Key not authenticated")
);
}
if (Number.isNaN(modelId)) {
return next(
createHttpError(HttpCode.BAD_REQUEST, "Invalid model ID")
);
}
const [row] = await db
.select({
model: aiModels,
provider: aiProviders
})
.from(aiModels)
.innerJoin(
aiProviders,
eq(aiModels.providerId, aiProviders.providerId)
)
.where(eq(aiModels.modelId, modelId))
.limit(1);
if (!row) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`AI model with ID ${modelId} not found`
)
);
}
if (apiKey.isRoot) {
req.aiProvider = row.provider;
req.aiModel = row.model;
return next();
}
const orgId = row.provider.orgId;
if (!req.apiKeyOrg || req.apiKeyOrg.orgId !== orgId) {
const apiKeyOrgRes = await db
.select()
.from(apiKeyOrg)
.where(
and(
eq(apiKeyOrg.apiKeyId, apiKey.apiKeyId),
eq(apiKeyOrg.orgId, orgId)
)
)
.limit(1);
req.apiKeyOrg = apiKeyOrgRes[0];
}
if (!req.apiKeyOrg) {
return next(
createHttpError(
HttpCode.FORBIDDEN,
"Key does not have access to this organization"
)
);
}
req.aiProvider = row.provider;
req.aiModel = row.model;
return next();
} catch (error) {
return next(
createHttpError(
HttpCode.INTERNAL_SERVER_ERROR,
"Error verifying AI model access"
)
);
}
}
@@ -0,0 +1,85 @@
import { Request, Response, NextFunction } from "express";
import { aiProviders, apiKeyOrg, db } from "@server/db";
import { and, eq } from "drizzle-orm";
import createHttpError from "http-errors";
import HttpCode from "@server/types/HttpCode";
import { getFirstString } from "@server/lib/requestParams";
export async function verifyApiKeyAiProviderAccess(
req: Request,
res: Response,
next: NextFunction
) {
try {
const apiKey = req.apiKey;
const providerIdRaw = getFirstString(req.params.providerId);
const providerId = Number.parseInt(providerIdRaw ?? "", 10);
if (!apiKey) {
return next(
createHttpError(HttpCode.UNAUTHORIZED, "Key not authenticated")
);
}
if (Number.isNaN(providerId)) {
return next(
createHttpError(HttpCode.BAD_REQUEST, "Invalid provider ID")
);
}
const [provider] = await db
.select()
.from(aiProviders)
.where(eq(aiProviders.providerId, providerId))
.limit(1);
if (!provider) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`AI provider with ID ${providerId} not found`
)
);
}
if (apiKey.isRoot) {
req.aiProvider = provider;
return next();
}
const orgId = provider.orgId;
if (!req.apiKeyOrg || req.apiKeyOrg.orgId !== orgId) {
const apiKeyOrgRes = await db
.select()
.from(apiKeyOrg)
.where(
and(
eq(apiKeyOrg.apiKeyId, apiKey.apiKeyId),
eq(apiKeyOrg.orgId, orgId)
)
)
.limit(1);
req.apiKeyOrg = apiKeyOrgRes[0];
}
if (!req.apiKeyOrg) {
return next(
createHttpError(
HttpCode.FORBIDDEN,
"Key does not have access to this organization"
)
);
}
req.aiProvider = provider;
return next();
} catch (error) {
return next(
createHttpError(
HttpCode.INTERNAL_SERVER_ERROR,
"Error verifying AI provider access"
)
);
}
}
@@ -1,6 +1,6 @@
import { Request, Response, NextFunction } from "express";
import { db } from "@server/db";
import { resources, targets, apiKeyOrg } from "@server/db";
import { aiProviders, resources, targets, apiKeyOrg } from "@server/db";
import { and, eq } from "drizzle-orm";
import createHttpError from "http-errors";
import HttpCode from "@server/types/HttpCode";
@@ -43,43 +43,65 @@ export async function verifyApiKeyTargetAccess(
);
}
const resourceId = target.resourceId;
if (!resourceId) {
const { resourceId, providerId } = target;
if ((!resourceId && !providerId) || (resourceId && providerId)) {
return next(
createHttpError(
HttpCode.INTERNAL_SERVER_ERROR,
`Target with ID ${targetId} does not have a resource ID`
)
);
}
const [resource] = await db
.select()
.from(resources)
.where(eq(resources.resourceId, resourceId))
.limit(1);
if (!resource) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`Resource with ID ${resourceId} not found`
`Target with ID ${targetId} has invalid ownership`
)
);
}
if (apiKey.isRoot) {
// Root keys can access any key in any org
// Root keys can access any target
return next();
}
if (!resource.orgId) {
return next(
createHttpError(
HttpCode.INTERNAL_SERVER_ERROR,
`Resource with ID ${resourceId} does not have an organization ID`
)
);
let orgId: string;
if (resourceId) {
const [resource] = await db
.select()
.from(resources)
.where(eq(resources.resourceId, resourceId))
.limit(1);
if (!resource) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`Resource with ID ${resourceId} not found`
)
);
}
if (!resource.orgId) {
return next(
createHttpError(
HttpCode.INTERNAL_SERVER_ERROR,
`Resource with ID ${resourceId} does not have an organization ID`
)
);
}
orgId = resource.orgId;
} else {
const [provider] = await db
.select()
.from(aiProviders)
.where(eq(aiProviders.providerId, providerId!))
.limit(1);
if (!provider) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`AI provider with ID ${providerId} not found`
)
);
}
orgId = provider.orgId;
}
if (!req.apiKeyOrg) {
@@ -89,7 +111,7 @@ export async function verifyApiKeyTargetAccess(
.where(
and(
eq(apiKeyOrg.apiKeyId, apiKey.apiKeyId),
eq(apiKeyOrg.orgId, resource.orgId)
eq(apiKeyOrg.orgId, orgId)
)
)
.limit(1);
@@ -98,7 +120,7 @@ export async function verifyApiKeyTargetAccess(
}
}
if (!req.apiKeyOrg) {
if (!req.apiKeyOrg || req.apiKeyOrg.orgId !== orgId) {
return next(
createHttpError(
HttpCode.FORBIDDEN,
@@ -0,0 +1,87 @@
import { Request, Response, NextFunction } from "express";
import { apiKeyOrg, db, virtualApiKeys } from "@server/db";
import { and, eq } from "drizzle-orm";
import createHttpError from "http-errors";
import HttpCode from "@server/types/HttpCode";
import { getFirstString } from "@server/lib/requestParams";
export async function verifyApiKeyVirtualApiKeyAccess(
req: Request,
res: Response,
next: NextFunction
) {
try {
const apiKey = req.apiKey;
const virtualApiKeyId = getFirstString(req.params.virtualApiKeyId);
if (!apiKey) {
return next(
createHttpError(HttpCode.UNAUTHORIZED, "Key not authenticated")
);
}
if (!virtualApiKeyId) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
"Invalid virtual API key ID"
)
);
}
const [key] = await db
.select()
.from(virtualApiKeys)
.where(eq(virtualApiKeys.virtualApiKeyId, virtualApiKeyId))
.limit(1);
if (!key || key.kind !== "manual") {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`Virtual API key with ID ${virtualApiKeyId} not found`
)
);
}
if (apiKey.isRoot) {
req.virtualApiKey = key;
return next();
}
const orgId = key.orgId;
if (!req.apiKeyOrg || req.apiKeyOrg.orgId !== orgId) {
const apiKeyOrgRes = await db
.select()
.from(apiKeyOrg)
.where(
and(
eq(apiKeyOrg.apiKeyId, apiKey.apiKeyId),
eq(apiKeyOrg.orgId, orgId)
)
)
.limit(1);
req.apiKeyOrg = apiKeyOrgRes[0];
}
if (!req.apiKeyOrg) {
return next(
createHttpError(
HttpCode.FORBIDDEN,
"Key does not have access to this organization"
)
);
}
req.virtualApiKey = key;
return next();
} catch (error) {
return next(
createHttpError(
HttpCode.INTERNAL_SERVER_ERROR,
"Error verifying virtual API key access"
)
);
}
}
@@ -0,0 +1,99 @@
import { Request, Response, NextFunction } from "express";
import { aiBudgets, db, userOrgs } from "@server/db";
import { and, eq } from "drizzle-orm";
import createHttpError from "http-errors";
import HttpCode from "@server/types/HttpCode";
import { checkOrgAccessPolicy } from "#dynamic/lib/checkOrgAccessPolicy";
import { getUserOrgRoleIds } from "@server/lib/userOrgRoles";
import { getFirstString } from "@server/lib/requestParams";
export async function verifyAiBudgetAccess(
req: Request,
res: Response,
next: NextFunction
) {
try {
const userId = req.user!.userId;
const budgetIdRaw = getFirstString(req.params.budgetId);
const budgetId = Number.parseInt(budgetIdRaw ?? "", 10);
if (!userId) {
return next(
createHttpError(HttpCode.UNAUTHORIZED, "User not authenticated")
);
}
if (Number.isNaN(budgetId)) {
return next(
createHttpError(HttpCode.BAD_REQUEST, "Invalid budget ID")
);
}
const [budget] = await db
.select()
.from(aiBudgets)
.where(eq(aiBudgets.budgetId, budgetId))
.limit(1);
if (!budget) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`AI budget with ID ${budgetId} not found`
)
);
}
const orgId = budget.orgId;
if (!req.userOrg || req.userOrg.orgId !== orgId) {
const userOrgRole = await db
.select()
.from(userOrgs)
.where(
and(eq(userOrgs.userId, userId), eq(userOrgs.orgId, orgId))
)
.limit(1);
req.userOrg = userOrgRole[0];
}
if (!req.userOrg) {
return next(
createHttpError(
HttpCode.FORBIDDEN,
"User does not have access to this organization"
)
);
}
if (req.orgPolicyAllowed === undefined && req.userOrg.orgId) {
const policyCheck = await checkOrgAccessPolicy({
orgId: req.userOrg.orgId,
userId,
session: req.session
});
req.orgPolicyAllowed = policyCheck.allowed;
if (!policyCheck.allowed || policyCheck.error) {
return next(
createHttpError(
HttpCode.FORBIDDEN,
"" + (policyCheck.error || "Unknown error")
)
);
}
}
req.userOrgId = orgId;
req.userOrgRoleIds = await getUserOrgRoleIds(req.userOrg.userId, orgId);
req.aiBudget = budget;
return next();
} catch (error) {
return next(
createHttpError(
HttpCode.INTERNAL_SERVER_ERROR,
"Error verifying AI budget access"
)
);
}
}
+107
View File
@@ -0,0 +1,107 @@
import { Request, Response, NextFunction } from "express";
import { aiModels, aiProviders, db, userOrgs } from "@server/db";
import { and, eq } from "drizzle-orm";
import createHttpError from "http-errors";
import HttpCode from "@server/types/HttpCode";
import { checkOrgAccessPolicy } from "#dynamic/lib/checkOrgAccessPolicy";
import { getUserOrgRoleIds } from "@server/lib/userOrgRoles";
import { getFirstString } from "@server/lib/requestParams";
export async function verifyAiModelAccess(
req: Request,
res: Response,
next: NextFunction
) {
try {
const userId = req.user!.userId;
const modelIdRaw = getFirstString(req.params.modelId);
const modelId = Number.parseInt(modelIdRaw ?? "", 10);
if (!userId) {
return next(
createHttpError(HttpCode.UNAUTHORIZED, "User not authenticated")
);
}
if (Number.isNaN(modelId)) {
return next(
createHttpError(HttpCode.BAD_REQUEST, "Invalid model ID")
);
}
const [row] = await db
.select({
model: aiModels,
provider: aiProviders
})
.from(aiModels)
.innerJoin(
aiProviders,
eq(aiModels.providerId, aiProviders.providerId)
)
.where(eq(aiModels.modelId, modelId))
.limit(1);
if (!row) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`AI model with ID ${modelId} not found`
)
);
}
const orgId = row.provider.orgId;
if (!req.userOrg || req.userOrg.orgId !== orgId) {
const userOrgRole = await db
.select()
.from(userOrgs)
.where(
and(eq(userOrgs.userId, userId), eq(userOrgs.orgId, orgId))
)
.limit(1);
req.userOrg = userOrgRole[0];
}
if (!req.userOrg) {
return next(
createHttpError(
HttpCode.FORBIDDEN,
"User does not have access to this organization"
)
);
}
if (req.orgPolicyAllowed === undefined && req.userOrg.orgId) {
const policyCheck = await checkOrgAccessPolicy({
orgId: req.userOrg.orgId,
userId,
session: req.session
});
req.orgPolicyAllowed = policyCheck.allowed;
if (!policyCheck.allowed || policyCheck.error) {
return next(
createHttpError(
HttpCode.FORBIDDEN,
"" + (policyCheck.error || "Unknown error")
)
);
}
}
req.userOrgId = orgId;
req.userOrgRoleIds = await getUserOrgRoleIds(req.userOrg.userId, orgId);
req.aiProvider = row.provider;
req.aiModel = row.model;
return next();
} catch (error) {
return next(
createHttpError(
HttpCode.INTERNAL_SERVER_ERROR,
"Error verifying AI model access"
)
);
}
}
@@ -0,0 +1,99 @@
import { Request, Response, NextFunction } from "express";
import { aiProviders, db, userOrgs } from "@server/db";
import { and, eq } from "drizzle-orm";
import createHttpError from "http-errors";
import HttpCode from "@server/types/HttpCode";
import { checkOrgAccessPolicy } from "#dynamic/lib/checkOrgAccessPolicy";
import { getUserOrgRoleIds } from "@server/lib/userOrgRoles";
import { getFirstString } from "@server/lib/requestParams";
export async function verifyAiProviderAccess(
req: Request,
res: Response,
next: NextFunction
) {
try {
const userId = req.user!.userId;
const providerIdRaw = getFirstString(req.params.providerId);
const providerId = Number.parseInt(providerIdRaw ?? "", 10);
if (!userId) {
return next(
createHttpError(HttpCode.UNAUTHORIZED, "User not authenticated")
);
}
if (Number.isNaN(providerId)) {
return next(
createHttpError(HttpCode.BAD_REQUEST, "Invalid provider ID")
);
}
const [provider] = await db
.select()
.from(aiProviders)
.where(eq(aiProviders.providerId, providerId))
.limit(1);
if (!provider) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`AI provider with ID ${providerId} not found`
)
);
}
const orgId = provider.orgId;
if (!req.userOrg || req.userOrg.orgId !== orgId) {
const userOrgRole = await db
.select()
.from(userOrgs)
.where(
and(eq(userOrgs.userId, userId), eq(userOrgs.orgId, orgId))
)
.limit(1);
req.userOrg = userOrgRole[0];
}
if (!req.userOrg) {
return next(
createHttpError(
HttpCode.FORBIDDEN,
"User does not have access to this organization"
)
);
}
if (req.orgPolicyAllowed === undefined && req.userOrg.orgId) {
const policyCheck = await checkOrgAccessPolicy({
orgId: req.userOrg.orgId,
userId,
session: req.session
});
req.orgPolicyAllowed = policyCheck.allowed;
if (!policyCheck.allowed || policyCheck.error) {
return next(
createHttpError(
HttpCode.FORBIDDEN,
"" + (policyCheck.error || "Unknown error")
)
);
}
}
req.userOrgId = orgId;
req.userOrgRoleIds = await getUserOrgRoleIds(req.userOrg.userId, orgId);
req.aiProvider = provider;
return next();
} catch (error) {
return next(
createHttpError(
HttpCode.INTERNAL_SERVER_ERROR,
"Error verifying AI provider access"
)
);
}
}
+71 -56
View File
@@ -1,6 +1,6 @@
import { Request, Response, NextFunction } from "express";
import { db } from "@server/db";
import { resources, targets, userOrgs } from "@server/db";
import { aiProviders, resources, targets, userOrgs } from "@server/db";
import { and, eq } from "drizzle-orm";
import createHttpError from "http-errors";
import HttpCode from "@server/types/HttpCode";
@@ -25,9 +25,7 @@ export async function verifyTargetAccess(
}
if (isNaN(targetId)) {
return next(
createHttpError(HttpCode.BAD_REQUEST, "Invalid organization ID")
);
return next(createHttpError(HttpCode.BAD_REQUEST, "Invalid target ID"));
}
const target = await db
@@ -45,73 +43,88 @@ export async function verifyTargetAccess(
);
}
const resourceId = target[0].resourceId;
const { resourceId, providerId } = target[0];
if (!resourceId) {
if ((!resourceId && !providerId) || (resourceId && providerId)) {
return next(
createHttpError(
HttpCode.INTERNAL_SERVER_ERROR,
`Target with ID ${targetId} does not have a resource ID`
`Target with ID ${targetId} has invalid ownership`
)
);
}
try {
const resource = await db
.select()
.from(resources)
.where(eq(resources.resourceId, resourceId!))
.limit(1);
let orgId: string;
if (resource.length === 0) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`Resource with ID ${resourceId} not found`
)
);
}
if (resourceId) {
const [resource] = await db
.select()
.from(resources)
.where(eq(resources.resourceId, resourceId))
.limit(1);
if (!resource[0].orgId) {
return next(
createHttpError(
HttpCode.INTERNAL_SERVER_ERROR,
`resource with ID ${resourceId} does not have an organization ID`
)
);
if (!resource) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`Resource with ID ${resourceId} not found`
)
);
}
if (!resource.orgId) {
return next(
createHttpError(
HttpCode.INTERNAL_SERVER_ERROR,
`Resource with ID ${resourceId} does not have an organization ID`
)
);
}
orgId = resource.orgId;
} else {
const [provider] = await db
.select()
.from(aiProviders)
.where(eq(aiProviders.providerId, providerId!))
.limit(1);
if (!provider) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`AI provider with ID ${providerId} not found`
)
);
}
orgId = provider.orgId;
}
if (!req.userOrg) {
const res = await db
const userOrgResult = await db
.select()
.from(userOrgs)
.where(
and(
eq(userOrgs.userId, userId),
eq(userOrgs.orgId, resource[0].orgId)
)
and(eq(userOrgs.userId, userId), eq(userOrgs.orgId, orgId))
);
req.userOrg = res[0];
req.userOrg = userOrgResult[0];
}
if (!req.userOrg) {
next(
if (!req.userOrg || req.userOrg.orgId !== orgId) {
return next(
createHttpError(
HttpCode.FORBIDDEN,
"User does not have access to this organization"
)
);
} else {
req.userOrgRoleIds = await getUserOrgRoleIds(
req.userOrg.userId,
resource[0].orgId!
);
req.userOrgId = resource[0].orgId!;
}
const orgId = req.userOrg.orgId;
req.userOrgRoleIds = await getUserOrgRoleIds(req.userOrg.userId, orgId);
req.userOrgId = orgId;
if (req.orgPolicyAllowed === undefined && orgId) {
if (req.orgPolicyAllowed === undefined) {
const policyCheck = await checkOrgAccessPolicy({
orgId,
userId,
@@ -128,22 +141,24 @@ export async function verifyTargetAccess(
}
}
const resourceAllowed = await canUserAccessResource({
userId,
resourceId,
roleIds: req.userOrgRoleIds ?? []
});
if (resourceId) {
const resourceAllowed = await canUserAccessResource({
userId,
resourceId,
roleIds: req.userOrgRoleIds ?? []
});
if (!resourceAllowed) {
return next(
createHttpError(
HttpCode.FORBIDDEN,
"User does not have access to this resource"
)
);
if (!resourceAllowed) {
return next(
createHttpError(
HttpCode.FORBIDDEN,
"User does not have access to this resource"
)
);
}
}
next();
return next();
} catch (e) {
return next(
createHttpError(
@@ -0,0 +1,101 @@
import { Request, Response, NextFunction } from "express";
import { db, userOrgs, virtualApiKeys } from "@server/db";
import { and, eq } from "drizzle-orm";
import createHttpError from "http-errors";
import HttpCode from "@server/types/HttpCode";
import { checkOrgAccessPolicy } from "#dynamic/lib/checkOrgAccessPolicy";
import { getUserOrgRoleIds } from "@server/lib/userOrgRoles";
import { getFirstString } from "@server/lib/requestParams";
export async function verifyVirtualApiKeyAccess(
req: Request,
res: Response,
next: NextFunction
) {
try {
const userId = req.user!.userId;
const virtualApiKeyId = getFirstString(req.params.virtualApiKeyId);
if (!userId) {
return next(
createHttpError(HttpCode.UNAUTHORIZED, "User not authenticated")
);
}
if (!virtualApiKeyId) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
"Invalid virtual API key ID"
)
);
}
const [key] = await db
.select()
.from(virtualApiKeys)
.where(eq(virtualApiKeys.virtualApiKeyId, virtualApiKeyId))
.limit(1);
if (!key || key.kind !== "manual") {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`Virtual API key with ID ${virtualApiKeyId} not found`
)
);
}
const orgId = key.orgId;
if (!req.userOrg || req.userOrg.orgId !== orgId) {
const userOrgRole = await db
.select()
.from(userOrgs)
.where(
and(eq(userOrgs.userId, userId), eq(userOrgs.orgId, orgId))
)
.limit(1);
req.userOrg = userOrgRole[0];
}
if (!req.userOrg) {
return next(
createHttpError(
HttpCode.FORBIDDEN,
"User does not have access to this organization"
)
);
}
if (req.orgPolicyAllowed === undefined && req.userOrg.orgId) {
const policyCheck = await checkOrgAccessPolicy({
orgId: req.userOrg.orgId,
userId,
session: req.session
});
req.orgPolicyAllowed = policyCheck.allowed;
if (!policyCheck.allowed || policyCheck.error) {
return next(
createHttpError(
HttpCode.FORBIDDEN,
"" + (policyCheck.error || "Unknown error")
)
);
}
}
req.userOrgId = orgId;
req.userOrgRoleIds = await getUserOrgRoleIds(req.userOrg.userId, orgId);
req.virtualApiKey = key;
return next();
} catch (error) {
return next(
createHttpError(
HttpCode.INTERNAL_SERVER_ERROR,
"Error verifying virtual API key access"
)
);
}
}
+5 -1
View File
@@ -28,7 +28,11 @@ export enum OpenAPITags {
HealthCheck = "Health Check",
PublicResourcePolicyLegacy = "Public Resource Policy (Legacy)",
PublicResourceLegacy = "Public Resource (Legacy)",
PrivateResourceLegacy = "Private Resource (Legacy)"
PrivateResourceLegacy = "Private Resource (Legacy)",
AiProvider = "AI Provider",
AiModel = "AI Model",
AiBudget = "AI Budget",
VirtualApiKey = "Virtual API Key"
}
// Order here controls the order tags are displayed in Swagger UI
+4
View File
@@ -18,12 +18,16 @@ import { flushBandwidthToDb } from "@server/routers/newt/handleReceiveBandwidthM
import { flushConnectionLogToDb } from "#private/routers/newt";
import { flushSiteBandwidthToDb } from "@server/routers/gerbil/receiveBandwidth";
import { stopPingAccumulator } from "@server/routers/newt/pingAccumulator";
import { shutdownUsageRecorder } from "@server/lib/aiBudgetEnforcement";
import { shutdownAiSessionLogger } from "@server/routers/aiGateway/logAiSession";
async function cleanup() {
await stopPingAccumulator();
await flushBandwidthToDb();
await flushConnectionLogToDb();
await flushSiteBandwidthToDb();
await shutdownUsageRecorder();
await shutdownAiSessionLogger();
await rateLimitService.cleanup();
await wsCleanup();
await logStreamingManager.shutdown();
+20 -20
View File
@@ -24,12 +24,12 @@ export const localCache = new NodeCache({
});
// Log cache statistics periodically for monitoring
setInterval(() => {
const stats = localCache.getStats();
logger.debug(
`Local cache stats - Keys: ${stats.keys}, Hits: ${stats.hits}, Misses: ${stats.misses}, Hit rate: ${stats.hits > 0 ? ((stats.hits / (stats.hits + stats.misses)) * 100).toFixed(2) : 0}%`
);
}, 300000); // Every 5 minutes
// setInterval(() => {
// const stats = localCache.getStats();
// logger.debug(
// `Local cache stats - Keys: ${stats.keys}, Hits: ${stats.hits}, Misses: ${stats.misses}, Hit rate: ${stats.hits > 0 ? ((stats.hits / (stats.hits + stats.misses)) * 100).toFixed(2) : 0}%`
// );
// }, 300000); // Every 5 minutes
/**
* Adaptive cache that uses Redis when available in multi-node environments,
@@ -80,9 +80,9 @@ class AdaptiveCache {
// Use local cache as fallback or primary
const success = localCache.set(key, value, effectiveTtl || 0);
if (success) {
logger.debug(`Set key in local cache: ${key}`);
}
// if (success) {
// logger.debug(`Set key in local cache: ${key}`);
// }
return success;
}
@@ -111,11 +111,11 @@ class AdaptiveCache {
// Use local cache as fallback or primary
const value = localCache.get<T>(key);
if (value !== undefined) {
logger.debug(`Cache hit in local cache: ${key}`);
} else {
logger.debug(`Cache miss in local cache: ${key}`);
}
// if (value !== undefined) {
// logger.debug(`Cache hit in local cache: ${key}`);
// } else {
// logger.debug(`Cache miss in local cache: ${key}`);
// }
return value;
}
@@ -344,7 +344,7 @@ class RegionalAdaptiveCache {
}
const success = regionalLocalCache.set(key, value, effectiveTtl || 0);
if (success) logger.debug(`[regional] Set key in local cache: ${key}`);
// if (success) logger.debug(`[regional] Set key in local cache: ${key}`);
return success;
}
@@ -367,11 +367,11 @@ class RegionalAdaptiveCache {
}
const value = regionalLocalCache.get<T>(key);
if (value !== undefined) {
logger.debug(`[regional] Cache hit in local cache: ${key}`);
} else {
logger.debug(`[regional] Cache miss in local cache: ${key}`);
}
// if (value !== undefined) {
// logger.debug(`[regional] Cache hit in local cache: ${key}`);
// } else {
// logger.debug(`[regional] Cache miss in local cache: ${key}`);
// }
return value;
}
+10 -1
View File
@@ -25,7 +25,6 @@ import {
Transaction
} from "@server/db";
import logger from "@server/logger";
import { ExitNodePingResult } from "@server/routers/newt";
import { eq, and, or, ne, isNull, inArray } from "drizzle-orm";
import axios from "axios";
import config from "../config";
@@ -330,6 +329,16 @@ export async function listExitNodes(
return exitNodesList;
}
export type ExitNodePingResult = {
exitNodeId: number;
latencyMs: number;
weight: number;
error?: string;
exitNodeName: string;
endpoint: string;
wasPreviouslyConnected: boolean;
};
/**
* Selects the most suitable exit node from a list of ping results.
*
+325 -5
View File
@@ -18,6 +18,7 @@ import {
domains,
exitNodes,
loginPage,
SiteResource,
targetHealthCheck
} from "@server/db";
import {
@@ -40,7 +41,10 @@ import {
siteNetworks,
siteResources,
Target,
targets
targets,
aiProviders,
resourceAiProviders,
siteResourceAiProviders
} from "@server/db";
import {
sanitize,
@@ -54,6 +58,7 @@ import {
getValidCertificatesForDomains
} from "#private/lib/certificates";
import { build } from "@server/build";
import regionalCache from "#private/lib/cache";
const redirectHttpsMiddlewareName = "redirect-to-https";
const redirectToRootMiddlewareName = "redirect-to-root";
@@ -87,8 +92,24 @@ export async function getTraefikConfig(
generateLoginPageRouters = false,
allowRawResources = true,
maintenancePageUiUrl: string | null = null,
browserGatewayUiUrl: string | null = null
browserGatewayUiUrl: string | null = null,
aiGatewayUrl: string | null = null
): Promise<any> {
// Get the exit node but cache it for 5 minutes to avoid hitting the DB too often
const exitNodeCacheKey = `exitNode:${exitNodeId}`;
let exitNode =
await regionalCache.get<typeof exitNodes.$inferSelect>(
exitNodeCacheKey
);
if (!exitNode) {
[exitNode] = await db
.select()
.from(exitNodes)
.where(eq(exitNodes.exitNodeId, exitNodeId))
.limit(1);
await regionalCache.set(exitNodeCacheKey, exitNode, 300);
}
// Get resources with their targets and sites in a single optimized query
// Start from sites on this exit node, then join to targets and resources
const resourcesWithTargetsAndSites = await db
@@ -136,7 +157,7 @@ export async function getTraefikConfig(
siteId: sites.siteId,
siteType: sites.type,
siteOnline: sites.online,
subnet: sites.subnet,
subnet: sites.exitNodeSubnet,
exitNodeId: sites.exitNodeId,
// Namespace
domainNamespaceId: domainNamespaces.domainNamespaceId,
@@ -361,7 +382,7 @@ export async function getTraefikConfig(
let siteResourcesWithFullDomain: {
siteResourceId: number;
fullDomain: string | null;
mode: "http" | "host" | "cidr" | "ssh";
mode: SiteResource["mode"];
}[] = [];
if (
build == "enterprise" &&
@@ -386,7 +407,7 @@ export async function getTraefikConfig(
and(
eq(siteResources.enabled, true),
isNotNull(siteResources.fullDomain),
eq(siteResources.mode, "http"),
eq(siteResources.mode, "http"), // important so we dont double get the inference siteResources below
eq(siteResources.ssl, true),
eq(sites.exitNodeId, exitNodeId),
inArray(sites.type, siteTypes)
@@ -394,6 +415,56 @@ export async function getTraefikConfig(
);
}
// Inference-mode resources/siteResources have no targets/sites/network
// (their "backend" is the central AI gateway, not something on a site),
// so they can't be reached via the joins above - query them separately
// and include them on every exit node.
const inferenceResources = await db
.selectDistinct({
resourceId: resources.resourceId,
fullDomain: resources.fullDomain,
ssl: resources.ssl,
subdomain: resources.subdomain,
domainId: resources.domainId,
enabled: resources.enabled,
wildcard: resources.wildcard,
domainCertResolver: domains.certResolver,
preferWildcardCert: domains.preferWildcardCert
})
.from(resources)
.innerJoin(
resourceAiProviders,
eq(resources.resourceId, resourceAiProviders.resourceId)
)
.innerJoin(
aiProviders,
eq(resourceAiProviders.providerId, aiProviders.providerId)
)
.leftJoin(domains, eq(domains.domainId, resources.domainId))
.where(
and(
eq(resources.mode, "inference"),
eq(resources.enabled, true),
eq(aiProviders.enabled, true)
)
);
const siteResourcesInference = await db
.selectDistinct({
siteResourceId: siteResources.siteResourceId,
fullDomain: siteResources.fullDomain,
ssl: siteResources.ssl,
enabled: siteResources.enabled
})
.from(siteResources)
.where(
and(
eq(siteResources.mode, "inference"),
eq(siteResources.enabled, true),
isNotNull(siteResources.fullDomain)
)
);
let validCerts: CertificateResult[] = [];
if (privateConfig.getRawPrivateConfig().flags.use_pangolin_dns) {
// create a list of all domains to get certs for
@@ -415,6 +486,17 @@ export async function getTraefikConfig(
domains.add(bgResource.fullDomain);
}
}
// Include inference resource/siteResource domains
for (const ir of inferenceResources) {
if (ir.enabled && ir.ssl && ir.fullDomain) {
domains.add(ir.fullDomain);
}
}
for (const sr of siteResourcesInference) {
if (sr.enabled && sr.ssl && sr.fullDomain) {
domains.add(sr.fullDomain);
}
}
// get the valid certs for these domains
validCerts = await getValidCertificatesForDomains(domains, true); // we are caching here because this is called often
// logger.debug(`Valid certs for domains: ${JSON.stringify(validCerts)}`);
@@ -1461,6 +1543,244 @@ export async function getTraefikConfig(
}
}
if (aiGatewayUrl) {
// The AI gateway may live on a different host than the inference
// resource itself (e.g. a remote exit node forwarding to the
// central dashboard over a tunnel). passHostHeader would forward
// the resource's own Host, which that external host won't
// recognize, so we pin the Host header to the gateway's own host
// and smuggle the original resource host through in "p-host"
// instead (same pattern as the maintenance-page routes above).
let aiGatewayHost: string | undefined;
try {
aiGatewayHost = new URL(aiGatewayUrl).host;
} catch {
aiGatewayHost = undefined;
}
// The p-host smuggling above is only necessary when the AI gateway
// is overridden to a different host than the resource's own. In the
// default case, leave the Host header untouched so it's visible on
// the other end.
const aiGatewayOverride =
config.getRawConfig().server.ai_gateway_override;
// Public inference resources: same TLS/cert-resolver handling as
// plain http-mode resources, but the service points at the AI
// gateway instead of any real backend targets.
for (const ir of inferenceResources) {
if (!ir.enabled) continue;
if (!ir.domainId || !ir.fullDomain) continue;
if (!config_output.http.routers) config_output.http.routers = {};
if (!config_output.http.services) config_output.http.services = {};
const fullDomain = ir.fullDomain;
const irKey = `inference-r${ir.resourceId}`;
const routerName = `${irKey}-router`;
const serviceName = `${irKey}-service`;
let rule: string;
if (ir.wildcard && fullDomain.startsWith("*.")) {
const escaped = fullDomain.slice(2).replace(/\./g, "\\.");
rule = `HostRegexp(\`^[^.]+\\.${escaped}$\`)`;
} else {
rule = `Host(\`${fullDomain}\`)`;
}
let tls: any = {};
if (!privateConfig.getRawPrivateConfig().flags.use_pangolin_dns) {
const domainParts = fullDomain.split(".");
let wildCard;
if (domainParts.length <= 2) {
wildCard = `*.${domainParts.join(".")}`;
} else {
wildCard = `*.${domainParts.slice(1).join(".")}`;
}
if (!ir.subdomain) {
wildCard = fullDomain;
}
const globalDefaultResolver =
config.getRawConfig().traefik.cert_resolver;
const globalDefaultPreferWildcard =
config.getRawConfig().traefik.prefer_wildcard_cert;
const resolverName = ir.domainCertResolver
? ir.domainCertResolver.trim()
: globalDefaultResolver;
const preferWildcard =
ir.preferWildcardCert !== undefined &&
ir.preferWildcardCert !== null
? ir.preferWildcardCert
: globalDefaultPreferWildcard;
tls = {
certResolver: resolverName,
...(preferWildcard ? { domains: [{ main: wildCard }] } : {})
};
} else {
const matchingCert = validCerts.find(
(cert) => cert.queriedDomain === fullDomain
);
if (!matchingCert) {
logger.debug(
`No matching certificate found for inference resource domain: ${fullDomain}`
);
continue;
}
}
const additionalMiddlewares =
config.getRawConfig().traefik.additional_middlewares || [];
const routerMiddlewares = [badgerMiddlewareName];
if (aiGatewayOverride) {
const irHeadersMiddlewareName = `${irKey}-headers-middleware`;
config_output.http.middlewares[irHeadersMiddlewareName] = {
headers: {
customRequestHeaders: {
...(aiGatewayHost ? { Host: aiGatewayHost } : {}),
"p-host": fullDomain
}
}
};
routerMiddlewares.push(irHeadersMiddlewareName);
}
routerMiddlewares.push(...additionalMiddlewares);
if (ir.ssl) {
config_output.http.routers[routerName + "-redirect"] = {
entryPoints: [
config.getRawConfig().traefik.http_entrypoint
],
middlewares: [redirectHttpsMiddlewareName],
service: serviceName,
rule,
priority: 100
};
}
config_output.http.routers[routerName] = {
entryPoints: [
ir.ssl
? config.getRawConfig().traefik.https_entrypoint
: config.getRawConfig().traefik.http_entrypoint
],
middlewares: routerMiddlewares,
service: serviceName,
rule,
priority: 100,
...(ir.ssl ? { tls } : {})
};
config_output.http.services[serviceName] = {
loadBalancer: {
servers: [{ url: aiGatewayUrl }]
}
};
}
// Private (siteResource) inference resources: routed by their alias
// instead of a public fullDomain, and deliberately WITHOUT the
// badger middleware - no per-user auth/policy stack exists for
// siteResources today (see plan doc), so gating here is
// reachability-only for now.
for (const sr of siteResourcesInference) {
if (!sr.enabled || !sr.fullDomain) continue;
if (!config_output.http.routers) config_output.http.routers = {};
if (!config_output.http.services) config_output.http.services = {};
const fullDomain = sr.fullDomain;
const srKey = `inference-sr${sr.siteResourceId}`;
const routerName = `${srKey}-router`;
const serviceName = `${srKey}-service`;
const rule = `Host(\`${fullDomain}\`) && ClientIP(\`${exitNode.address}\`)`; // restrict to coming from the exit node ip range that the client is connected to
let tls: any = {};
if (!privateConfig.getRawPrivateConfig().flags.use_pangolin_dns) {
const domainParts = fullDomain.split(".");
const wildCard =
domainParts.length <= 2
? `*.${domainParts.join(".")}`
: `*.${domainParts.slice(1).join(".")}`;
const globalDefaultResolver =
config.getRawConfig().traefik.cert_resolver;
const globalDefaultPreferWildcard =
config.getRawConfig().traefik.prefer_wildcard_cert;
tls = {
certResolver: globalDefaultResolver,
...(globalDefaultPreferWildcard
? { domains: [{ main: wildCard }] }
: {})
};
} else {
const matchingCert = validCerts.find(
(cert) => cert.queriedDomain === fullDomain
);
if (!matchingCert) {
logger.debug(
`No matching certificate found for inference siteResource fullDomain: ${fullDomain}`
);
continue;
}
}
const additionalMiddlewares =
config.getRawConfig().traefik.additional_middlewares || [];
const routerMiddlewares: string[] = [];
if (aiGatewayOverride) {
const srHeadersMiddlewareName = `${srKey}-headers-middleware`;
config_output.http.middlewares[srHeadersMiddlewareName] = {
headers: {
customRequestHeaders: {
...(aiGatewayHost ? { Host: aiGatewayHost } : {}),
"p-host": fullDomain
}
}
};
routerMiddlewares.push(srHeadersMiddlewareName);
}
routerMiddlewares.push(...additionalMiddlewares);
if (sr.ssl) {
config_output.http.routers[routerName + "-redirect"] = {
entryPoints: [
config.getRawConfig().traefik.http_entrypoint
],
middlewares: [redirectHttpsMiddlewareName],
service: serviceName,
rule,
priority: 100
};
}
config_output.http.routers[routerName] = {
entryPoints: [
sr.ssl
? config.getRawConfig().traefik.https_entrypoint
: config.getRawConfig().traefik.http_entrypoint
],
middlewares: routerMiddlewares,
service: serviceName,
rule,
priority: 100,
...(sr.ssl ? { tls } : {})
};
config_output.http.services[serviceName] = {
loadBalancer: {
servers: [{ url: aiGatewayUrl }]
}
};
}
}
if (generateLoginPageRouters) {
const exitNodeLoginPages = await db
.select({
@@ -134,6 +134,17 @@ async function capRetentionDays(
);
}
if (
org.settingsLogRetentionDaysAISessions !== null &&
org.settingsLogRetentionDaysAISessions > maxRetentionDays
) {
updates.settingsLogRetentionDaysAISessions = maxRetentionDays;
needsUpdate = true;
logger.info(
`Capping AI session log retention from ${org.settingsLogRetentionDaysAISessions} to ${maxRetentionDays} days for org ${orgId}`
);
}
// Apply updates if needed
if (needsUpdate) {
await db.update(orgs).set(updates).where(eq(orgs.orgId, orgId));
@@ -53,6 +53,15 @@ export async function handleSubscriptionDeleted(
return;
}
// If the subscription has been manually overridden, we lock it down
// so Stripe can no longer change (or delete) its status locally.
if (existingSubscription.override === true) {
logger.info(
`Subscription ${subscription.id} is locked (override=true). Ignoring deletion event from Stripe.`
);
return;
}
await db
.delete(subscriptions)
.where(eq(subscriptions.subscriptionId, subscription.id));
@@ -68,13 +68,27 @@ export async function handleSubscriptionUpdated(
const type = getSubType(fullSubscription);
const previousType = existingSubscription.type as SubscriptionType | null;
// If the subscription has been manually overridden, we lock the
// status down so Stripe webhooks can no longer change it.
const isLocked = existingSubscription.override === true;
if (isLocked) {
logger.info(
`Subscription ${subscription.id} is locked (override=true). Ignoring status change from Stripe (would have been ${subscription.status}).`
);
}
const effectiveStatus = isLocked
? existingSubscription.status
: subscription.status;
await db
.update(subscriptions)
.set({
status: subscription.status,
canceledAt: subscription.canceled_at
? subscription.canceled_at
: null,
status: effectiveStatus,
canceledAt: isLocked
? existingSubscription.canceledAt
: subscription.canceled_at
? subscription.canceled_at
: null,
updatedAt: Math.floor(Date.now() / 1000),
billingCycleAnchor: subscription.billing_cycle_anchor,
type: type
@@ -275,23 +289,23 @@ export async function handleSubscriptionUpdated(
// we only need to handle the limit lifecycle for saas subscriptions not for the licenses
await handleSubscriptionLifesycle(
customer.orgId,
subscription.status,
effectiveStatus,
type
);
// Handle feature lifecycle when subscription is canceled or becomes unpaid
if (
subscription.status === "canceled" ||
subscription.status === "unpaid" ||
subscription.status === "incomplete_expired"
effectiveStatus === "canceled" ||
effectiveStatus === "unpaid" ||
effectiveStatus === "incomplete_expired"
) {
logger.info(
`Subscription ${subscription.id} for org ${customer.orgId} is ${subscription.status}, disabling paid features`
`Subscription ${subscription.id} for org ${customer.orgId} is ${effectiveStatus}, disabling paid features`
);
await handleTierChange(customer.orgId, null, previousType ?? undefined);
}
} else if (type === "license") {
if (subscription.status === "canceled" || subscription.status == "unpaid" || subscription.status == "incomplete_expired") {
if (effectiveStatus === "canceled" || effectiveStatus == "unpaid" || effectiveStatus == "incomplete_expired") {
try {
// WARNING:
// this invalidates ALL OF THE ENTERPRISE LICENSES for this orgId
+3 -1
View File
@@ -351,6 +351,7 @@ hybridRouter.get(
}
const pangolinUIUrl = config.getRawConfig().app.dashboard_url; // points to the dashboard to serve from there
const aiGatewayUrl = `${config.getRawConfig().app.dashboard_url}/api/v1/ai-gateway`;
try {
const traefikConfig = await getTraefikConfig(
@@ -360,7 +361,8 @@ hybridRouter.get(
false, // Dont include login pages,
true, // allow raw resources
pangolinUIUrl, // dont generate maintenance page
pangolinUIUrl // generate browser gateway targets
pangolinUIUrl, // generate browser gateway targets
aiGatewayUrl
);
return response(res, {
@@ -107,7 +107,6 @@ const createResourcePolicyBodySchema = z.strictObject({
})
)
)
.max(50)
.transform((v) => v.map((e) => e.toLowerCase()))
.optional()
.default([]),
@@ -178,7 +178,7 @@ export async function reGenerateSiteSecret(
);
}
if (site.exitNodeId && site.subnet) {
if (site.exitNodeId && site.exitNodeSubnet) {
await deletePeer(site.exitNodeId, site.pubKey!); // the old pubkey
await addPeer(site.exitNodeId, {
publicKey: pubKey,
+126
View File
@@ -0,0 +1,126 @@
# AI Budget API
Public/OSS CRUD entity (`server/routers/aiBudget/`, not enterprise-gated).
Table: `aiBudgets` in `server/db/{pg,sqlite}/schema/schema.ts`, type `AiBudget`.
## What a budget is
A row is a spend/usage cap of `amount` `unit` (`usd` | `tokens`) per `period`
(`hourly` | `daily` | `weekly` | `monthly` | `yearly` | `lifetime`), with
`enforcement` (`hard` | `soft`) and an `enabled` flag.
Every budget belongs to an org (`orgId`, required) and is optionally further
scoped to **exactly one** of:
- `providerId` → an `aiProviders` row
- `modelId` → an `aiModels` row
- `resourceId` → a `resources` row
- `siteResourceId` → a `siteResources` row
- `roleId` → a `roles` row
If none of those five are set, the budget is **org-wide**. Setting more than
one at once is rejected by `validation.ts`'s `refineBudgetScopeFields`
(`400`, "Only one of providerId, modelId, resourceId, siteResourceId, or
roleId may be set on a budget").
## Uniqueness / conflict rule
A given scope (one specific provider, or model, or resource, or site
resource, or role, or "org-wide") may have **multiple** budgets, but at most
**one per `(unit, period)` combination** — e.g. one `weekly`/`usd` budget and
one `hourly`/`usd` budget can coexist on the same provider, but two
`weekly`/`usd` budgets cannot. This is enforced at two levels:
- DB: composite `unique` constraints in both schema files —
`ai_budget_provider_uniq (providerId, unit, period)`,
`ai_budget_model_uniq (modelId, unit, period)`,
`ai_budget_resource_uniq (resourceId, unit, period)`,
`ai_budget_site_resource_uniq (siteResourceId, unit, period)`,
`ai_budget_role_uniq (roleId, unit, period)`. (NULL scope columns never
collide under a plain unique index, so this does *not* cover the org-wide
case — see next bullet.)
- App: `createAiBudget`/`updateAiBudget` both run an explicit pre-check
query keyed on `(scopeCondition, unit, period)` before insert/update,
where `scopeCondition` is `eq(<scopeColumn>, id)` for whichever scope
field is set, or — when none is set — `orgId = X AND` all five scope
columns `IS NULL`, so org-wide budgets get the same one-per-`(unit,
period)` guarantee even though the DB constraint can't express it.
Violating this returns `409` with
`` `A ${period} ${unit} budget already exists for this scope` ``.
Because only one row can ever exist for a given `(scope, unit, period)`,
there is no separate check needed to prevent a `hard` and a `soft` budget
from coexisting on the same `(scope, unit, period)` — the conflict check
above already blocks the second row regardless of its `enforcement` value.
On `updateAiBudget`, the conflict/ownership checks are run against the
**merged** next-state (existing row's scope/unit/period overlaid with
whatever the request body changes), not just the fields present in the
body — so e.g. changing only `unit` on a budget that already has
`providerId` set re-validates against that provider's other budgets at the
new unit.
## Ownership validation
`providerId`/`modelId`/`resourceId`/`siteResourceId`/`roleId` are validated
to belong to the same `orgId` as the budget (`modelId` via an
`aiModels ⋈ aiProviders` join, since `aiModels` has no `orgId` column
directly). A mismatch returns `404`, not `403` — this matches how the
sibling `aiProvider`/`aiModel` routers report cross-org references.
## Routes
All under `server/routers/external.ts`, registered right after the
`aiProvider`/`aiModel` block. `PUT` = create, `POST` = update (repo
convention, not standard REST).
| Method | Path | Middleware | Action | Handler |
|---|---|---|---|---|
| PUT | `/org/:orgId/ai-budget` | `verifyOrgAccess` | `createAiBudget` | `createAiBudget` |
| GET | `/org/:orgId/ai-budgets` | `verifyOrgAccess` | `listAiBudgets` | `listAiBudgets` (paginated) |
| GET | `/ai-budget/:budgetId` | `verifyAiBudgetAccess` | `getAiBudget` | `getAiBudget` |
| POST | `/ai-budget/:budgetId` | `verifyAiBudgetAccess` | `updateAiBudget` | `updateAiBudget` |
| DELETE | `/ai-budget/:budgetId` | `verifyAiBudgetAccess` | `deleteAiBudget` | `deleteAiBudget` |
| GET | `/ai-provider/:providerId/ai-budgets` | `verifyAiProviderAccess` | `listAiBudgets` | `listAiBudgetsForProvider` |
| GET | `/ai-model/:modelId/ai-budgets` | `verifyAiModelAccess` | `listAiBudgets` | `listAiBudgetsForModel` |
| GET | `/resource/:resourceId/ai-budgets` | `verifyResourceAccess` | `listAiBudgets` | `listAiBudgetsForResource` |
| GET | `/site-resource/:siteResourceId/ai-budgets` | `verifySiteResourceAccess` | `listAiBudgets` | `listAiBudgetsForSiteResource` |
| GET | `/role/:roleId/ai-budgets` | `verifyRoleAccess` | `listAiBudgets` | `listAiBudgetsForRole` |
The five scope-filtered `GET .../ai-budgets` routes intentionally reuse the
single `ActionsEnum.listAiBudgets` action rather than getting one action
each — access control is already fully handled by the entity-specific
middleware (a user who can see the provider/resource/etc. can see its
budgets), so per-scope actions would just be enum bloat. They also skip
pagination (unlike the org-wide list) since a single entity realistically
has only a handful of `(unit, period)` budgets — response shape is a flat
`{ budgets: AiBudget[] }` (`ListAiBudgetsByScopeResponse`), not
`PaginatedResponse`.
`verifyAiBudgetAccess` (`server/middlewares/verifyAiBudgetAccess.ts`) loads
the budget by `budgetId`, resolves its `orgId` directly off the row (no
join needed, unlike `verifyAiModelAccess`), and stashes it on
`req.aiBudget` so `getAiBudget`/`updateAiBudget` can skip a re-fetch.
## Request/response shapes
- Create body: `providerId?`, `modelId?`, `resourceId?`, `siteResourceId?`,
`roleId?` (all `number`, mutually exclusive), `amount` (positive
`number`, required), `unit` (required), `period` (default `"monthly"`),
`enforcement` (default `"hard"`), `enabled?` (default `true`).
- Update body: same fields, all optional; the five scope fields are
`nullable().optional()` so a client can explicitly send `null` to clear
a scope (turning a scoped budget into an org-wide one).
- All five CRUD responses wrap a single `budget: AiBudget` (or
`budgets: AiBudget[]` + `pagination` for the org-wide list). No public/
private mapper exists for `AiBudget` — unlike `AiProvider`, there's no
secret field to strip, so the raw DB row is returned as-is.
## Not yet migrated
Schema changes here (composite unique constraints) were made directly in
`schema.ts` without hand-writing a `server/migrations/*.sql` file — this
repo's CI (`.github/workflows/test.yml`) runs `drizzle-kit generate`
against `schema.ts` fresh, and other recent schema-only commits (e.g. "Remove
budget periods") follow the same pattern of not committing a matching
migration by hand.
+265
View File
@@ -0,0 +1,265 @@
import { Request, Response, NextFunction } from "express";
import { z } from "zod";
import {
aiBudgets,
aiModels,
aiProviders,
db,
resources,
roles,
siteResources
} from "@server/db";
import response from "@server/lib/response";
import HttpCode from "@server/types/HttpCode";
import createHttpError from "http-errors";
import logger from "@server/logger";
import { fromError } from "zod-validation-error";
import { OpenAPITags, registry } from "@server/openApi";
import { and, eq, isNull } from "drizzle-orm";
import type { CreateOrEditAiBudgetResponse } from "@server/routers/aiBudget/types";
import {
aiBudgetEnforcementSchema,
aiBudgetPeriodSchema,
aiBudgetUnitSchema,
refineBudgetScopeFields
} from "@server/routers/aiBudget/validation";
const paramsSchema = z.strictObject({
orgId: z.string().nonempty()
});
const bodySchema = z
.strictObject({
providerId: z.coerce.number().int().positive().optional(),
modelId: z.coerce.number().int().positive().optional(),
resourceId: z.coerce.number().int().positive().optional(),
siteResourceId: z.coerce.number().int().positive().optional(),
roleId: z.coerce.number().int().positive().optional(),
amount: z.number().positive(),
unit: aiBudgetUnitSchema,
period: aiBudgetPeriodSchema.optional().default("monthly"),
enforcement: aiBudgetEnforcementSchema.optional().default("hard"),
enabled: z.boolean().optional()
})
.superRefine((data, ctx) => refineBudgetScopeFields(data, ctx));
registry.registerPath({
method: "put",
path: "/org/{orgId}/ai-budget",
description: "Create an AI budget for an organization.",
tags: [OpenAPITags.AiBudget],
request: {
params: paramsSchema,
body: {
content: {
"application/json": {
schema: bodySchema
}
}
}
},
responses: {
201: {
description: "Successful response"
}
}
});
export async function createAiBudget(
req: Request,
res: Response,
next: NextFunction
): Promise<any> {
try {
const parsedParams = paramsSchema.safeParse(req.params);
if (!parsedParams.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedParams.error).toString()
)
);
}
const parsedBody = bodySchema.safeParse(req.body);
if (!parsedBody.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedBody.error).toString()
)
);
}
const { orgId } = parsedParams.data;
const {
providerId,
modelId,
resourceId,
siteResourceId,
roleId,
amount,
unit,
period,
enforcement,
enabled
} = parsedBody.data;
if (providerId !== undefined) {
const [provider] = await db
.select({ orgId: aiProviders.orgId })
.from(aiProviders)
.where(eq(aiProviders.providerId, providerId))
.limit(1);
if (!provider || provider.orgId !== orgId) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`AI provider with ID ${providerId} not found in this organization`
)
);
}
}
if (modelId !== undefined) {
const [model] = await db
.select({ orgId: aiProviders.orgId })
.from(aiModels)
.innerJoin(
aiProviders,
eq(aiModels.providerId, aiProviders.providerId)
)
.where(eq(aiModels.modelId, modelId))
.limit(1);
if (!model || model.orgId !== orgId) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`AI model with ID ${modelId} not found in this organization`
)
);
}
}
if (resourceId !== undefined) {
const [resource] = await db
.select({ orgId: resources.orgId })
.from(resources)
.where(eq(resources.resourceId, resourceId))
.limit(1);
if (!resource || resource.orgId !== orgId) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`Resource with ID ${resourceId} not found in this organization`
)
);
}
}
if (siteResourceId !== undefined) {
const [siteResource] = await db
.select({ orgId: siteResources.orgId })
.from(siteResources)
.where(eq(siteResources.siteResourceId, siteResourceId))
.limit(1);
if (!siteResource || siteResource.orgId !== orgId) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`Site resource with ID ${siteResourceId} not found in this organization`
)
);
}
}
if (roleId !== undefined) {
const [role] = await db
.select({ orgId: roles.orgId })
.from(roles)
.where(eq(roles.roleId, roleId))
.limit(1);
if (!role || role.orgId !== orgId) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`Role with ID ${roleId} not found in this organization`
)
);
}
}
const scopeCondition =
providerId !== undefined
? eq(aiBudgets.providerId, providerId)
: modelId !== undefined
? eq(aiBudgets.modelId, modelId)
: resourceId !== undefined
? eq(aiBudgets.resourceId, resourceId)
: siteResourceId !== undefined
? eq(aiBudgets.siteResourceId, siteResourceId)
: roleId !== undefined
? eq(aiBudgets.roleId, roleId)
: and(
eq(aiBudgets.orgId, orgId),
isNull(aiBudgets.providerId),
isNull(aiBudgets.modelId),
isNull(aiBudgets.resourceId),
isNull(aiBudgets.siteResourceId),
isNull(aiBudgets.roleId)
);
const [existing] = await db
.select({ budgetId: aiBudgets.budgetId })
.from(aiBudgets)
.where(
and(
scopeCondition,
eq(aiBudgets.unit, unit),
eq(aiBudgets.period, period)
)
)
.limit(1);
if (existing) {
return next(
createHttpError(
HttpCode.CONFLICT,
`A ${period} ${unit} budget already exists for this scope`
)
);
}
const now = Date.now();
const [budget] = await db
.insert(aiBudgets)
.values({
orgId,
providerId: providerId ?? null,
modelId: modelId ?? null,
resourceId: resourceId ?? null,
siteResourceId: siteResourceId ?? null,
roleId: roleId ?? null,
amount,
unit,
period,
enforcement,
enabled: enabled ?? true,
createdAt: now,
updatedAt: now
})
.returning();
return response<CreateOrEditAiBudgetResponse>(res, {
data: { budget },
success: true,
error: false,
message: "AI budget created successfully",
status: HttpCode.CREATED
});
} catch (error) {
logger.error(error);
return next(
createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred")
);
}
}
+79
View File
@@ -0,0 +1,79 @@
import { Request, Response, NextFunction } from "express";
import { z } from "zod";
import { aiBudgets, db } from "@server/db";
import response from "@server/lib/response";
import HttpCode from "@server/types/HttpCode";
import createHttpError from "http-errors";
import logger from "@server/logger";
import { fromError } from "zod-validation-error";
import { OpenAPITags, registry } from "@server/openApi";
import { eq } from "drizzle-orm";
const paramsSchema = z.strictObject({
budgetId: z.coerce.number().int().positive()
});
registry.registerPath({
method: "delete",
path: "/ai-budget/{budgetId}",
description: "Delete an AI budget.",
tags: [OpenAPITags.AiBudget],
request: {
params: paramsSchema
},
responses: {
200: {
description: "Successful response"
}
}
});
export async function deleteAiBudget(
req: Request,
res: Response,
next: NextFunction
): Promise<any> {
try {
const parsedParams = paramsSchema.safeParse(req.params);
if (!parsedParams.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedParams.error).toString()
)
);
}
const { budgetId } = parsedParams.data;
const [existing] = await db
.select({ budgetId: aiBudgets.budgetId })
.from(aiBudgets)
.where(eq(aiBudgets.budgetId, budgetId))
.limit(1);
if (!existing) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`AI budget with ID ${budgetId} not found`
)
);
}
await db.delete(aiBudgets).where(eq(aiBudgets.budgetId, budgetId));
return response(res, {
data: null,
success: true,
error: false,
message: "AI budget deleted successfully",
status: HttpCode.OK
});
} catch (error) {
logger.error(error);
return next(
createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred")
);
}
}
+81
View File
@@ -0,0 +1,81 @@
import { Request, Response, NextFunction } from "express";
import { z } from "zod";
import { aiBudgets, db } from "@server/db";
import response from "@server/lib/response";
import HttpCode from "@server/types/HttpCode";
import createHttpError from "http-errors";
import logger from "@server/logger";
import { fromError } from "zod-validation-error";
import { OpenAPITags, registry } from "@server/openApi";
import { eq } from "drizzle-orm";
import type { GetAiBudgetResponse } from "@server/routers/aiBudget/types";
const paramsSchema = z.strictObject({
budgetId: z.coerce.number().int().positive()
});
registry.registerPath({
method: "get",
path: "/ai-budget/{budgetId}",
description: "Get an AI budget by ID.",
tags: [OpenAPITags.AiBudget],
request: {
params: paramsSchema
},
responses: {
200: {
description: "Successful response"
}
}
});
export async function getAiBudget(
req: Request,
res: Response,
next: NextFunction
): Promise<any> {
try {
const parsedParams = paramsSchema.safeParse(req.params);
if (!parsedParams.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedParams.error).toString()
)
);
}
const { budgetId } = parsedParams.data;
const [budget] =
req.aiBudget && req.aiBudget.budgetId === budgetId
? [req.aiBudget]
: await db
.select()
.from(aiBudgets)
.where(eq(aiBudgets.budgetId, budgetId))
.limit(1);
if (!budget) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`AI budget with ID ${budgetId} not found`
)
);
}
return response<GetAiBudgetResponse>(res, {
data: { budget },
success: true,
error: false,
message: "AI budget retrieved successfully",
status: HttpCode.OK
});
} catch (error) {
logger.error(error);
return next(
createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred")
);
}
}
+11
View File
@@ -0,0 +1,11 @@
export * from "./createAiBudget";
export * from "./listAiBudgets";
export * from "./listAiBudgetsForProvider";
export * from "./listAiBudgetsForModel";
export * from "./listAiBudgetsForResource";
export * from "./listAiBudgetsForSiteResource";
export * from "./listAiBudgetsForRole";
export * from "./getAiBudget";
export * from "./updateAiBudget";
export * from "./deleteAiBudget";
export * from "./types";
+130
View File
@@ -0,0 +1,130 @@
import { Request, Response, NextFunction } from "express";
import { z } from "zod";
import { aiBudgets, db } from "@server/db";
import response from "@server/lib/response";
import HttpCode from "@server/types/HttpCode";
import createHttpError from "http-errors";
import logger from "@server/logger";
import { fromError } from "zod-validation-error";
import { OpenAPITags, registry } from "@server/openApi";
import { asc, eq } from "drizzle-orm";
import type { ListAiBudgetsResponse } from "@server/routers/aiBudget/types";
const paramsSchema = z.strictObject({
orgId: z.string().nonempty()
});
const listSchema = z.object({
pageSize: z.coerce
.number<string>()
.int()
.positive()
.optional()
.catch(20)
.default(20)
.openapi({
type: "integer",
default: 20,
description: "Number of items per page"
}),
page: z.coerce
.number<string>()
.int()
.min(0)
.optional()
.catch(1)
.default(1)
.openapi({
type: "integer",
default: 1,
description: "Page number to retrieve"
})
});
registry.registerPath({
method: "get",
path: "/org/{orgId}/ai-budgets",
description: "List AI budgets for an organization.",
tags: [OpenAPITags.AiBudget],
request: {
params: paramsSchema,
query: listSchema
},
responses: {
200: {
description: "Successful response"
}
}
});
export async function listAiBudgets(
req: Request,
res: Response,
next: NextFunction
): Promise<any> {
try {
const parsedQuery = listSchema.safeParse(req.query);
if (!parsedQuery.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedQuery.error).toString()
)
);
}
const parsedParams = paramsSchema.safeParse(req.params);
if (!parsedParams.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedParams.error).toString()
)
);
}
const { orgId } = parsedParams.data;
const { pageSize, page } = parsedQuery.data;
const baseQuery = db
.select()
.from(aiBudgets)
.where(eq(aiBudgets.orgId, orgId));
const countQuery = db.$count(
db
.select()
.from(aiBudgets)
.where(eq(aiBudgets.orgId, orgId))
.as("filtered_ai_budgets")
);
const [totalCount, rows] = await Promise.all([
countQuery,
baseQuery
.limit(pageSize)
.offset(pageSize * (page - 1))
.orderBy(asc(aiBudgets.budgetId))
]);
return response<ListAiBudgetsResponse>(res, {
data: {
budgets: rows,
pagination: {
total: totalCount,
pageSize,
page
}
},
success: true,
error: false,
message: "AI budgets retrieved successfully",
status: HttpCode.OK
});
} catch (error) {
logger.error(error);
return next(
createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred")
);
}
}
@@ -0,0 +1,69 @@
import { Request, Response, NextFunction } from "express";
import { z } from "zod";
import { aiBudgets, db } from "@server/db";
import response from "@server/lib/response";
import HttpCode from "@server/types/HttpCode";
import createHttpError from "http-errors";
import logger from "@server/logger";
import { fromError } from "zod-validation-error";
import { OpenAPITags, registry } from "@server/openApi";
import { asc, eq } from "drizzle-orm";
import type { ListAiBudgetsByScopeResponse } from "@server/routers/aiBudget/types";
const paramsSchema = z.strictObject({
modelId: z.coerce.number().int().positive()
});
registry.registerPath({
method: "get",
path: "/ai-model/{modelId}/ai-budgets",
description: "List AI budgets scoped to an AI model.",
tags: [OpenAPITags.AiBudget],
request: {
params: paramsSchema
},
responses: {
200: {
description: "Successful response"
}
}
});
export async function listAiBudgetsForModel(
req: Request,
res: Response,
next: NextFunction
): Promise<any> {
try {
const parsedParams = paramsSchema.safeParse(req.params);
if (!parsedParams.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedParams.error).toString()
)
);
}
const { modelId } = parsedParams.data;
const budgets = await db
.select()
.from(aiBudgets)
.where(eq(aiBudgets.modelId, modelId))
.orderBy(asc(aiBudgets.budgetId));
return response<ListAiBudgetsByScopeResponse>(res, {
data: { budgets },
success: true,
error: false,
message: "AI budgets retrieved successfully",
status: HttpCode.OK
});
} catch (error) {
logger.error(error);
return next(
createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred")
);
}
}
@@ -0,0 +1,69 @@
import { Request, Response, NextFunction } from "express";
import { z } from "zod";
import { aiBudgets, db } from "@server/db";
import response from "@server/lib/response";
import HttpCode from "@server/types/HttpCode";
import createHttpError from "http-errors";
import logger from "@server/logger";
import { fromError } from "zod-validation-error";
import { OpenAPITags, registry } from "@server/openApi";
import { asc, eq } from "drizzle-orm";
import type { ListAiBudgetsByScopeResponse } from "@server/routers/aiBudget/types";
const paramsSchema = z.strictObject({
providerId: z.coerce.number().int().positive()
});
registry.registerPath({
method: "get",
path: "/ai-provider/{providerId}/ai-budgets",
description: "List AI budgets scoped to an AI provider.",
tags: [OpenAPITags.AiBudget],
request: {
params: paramsSchema
},
responses: {
200: {
description: "Successful response"
}
}
});
export async function listAiBudgetsForProvider(
req: Request,
res: Response,
next: NextFunction
): Promise<any> {
try {
const parsedParams = paramsSchema.safeParse(req.params);
if (!parsedParams.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedParams.error).toString()
)
);
}
const { providerId } = parsedParams.data;
const budgets = await db
.select()
.from(aiBudgets)
.where(eq(aiBudgets.providerId, providerId))
.orderBy(asc(aiBudgets.budgetId));
return response<ListAiBudgetsByScopeResponse>(res, {
data: { budgets },
success: true,
error: false,
message: "AI budgets retrieved successfully",
status: HttpCode.OK
});
} catch (error) {
logger.error(error);
return next(
createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred")
);
}
}
@@ -0,0 +1,69 @@
import { Request, Response, NextFunction } from "express";
import { z } from "zod";
import { aiBudgets, db } from "@server/db";
import response from "@server/lib/response";
import HttpCode from "@server/types/HttpCode";
import createHttpError from "http-errors";
import logger from "@server/logger";
import { fromError } from "zod-validation-error";
import { OpenAPITags, registry } from "@server/openApi";
import { asc, eq } from "drizzle-orm";
import type { ListAiBudgetsByScopeResponse } from "@server/routers/aiBudget/types";
const paramsSchema = z.strictObject({
resourceId: z.coerce.number().int().positive()
});
registry.registerPath({
method: "get",
path: "/resource/{resourceId}/ai-budgets",
description: "List AI budgets scoped to a resource.",
tags: [OpenAPITags.AiBudget],
request: {
params: paramsSchema
},
responses: {
200: {
description: "Successful response"
}
}
});
export async function listAiBudgetsForResource(
req: Request,
res: Response,
next: NextFunction
): Promise<any> {
try {
const parsedParams = paramsSchema.safeParse(req.params);
if (!parsedParams.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedParams.error).toString()
)
);
}
const { resourceId } = parsedParams.data;
const budgets = await db
.select()
.from(aiBudgets)
.where(eq(aiBudgets.resourceId, resourceId))
.orderBy(asc(aiBudgets.budgetId));
return response<ListAiBudgetsByScopeResponse>(res, {
data: { budgets },
success: true,
error: false,
message: "AI budgets retrieved successfully",
status: HttpCode.OK
});
} catch (error) {
logger.error(error);
return next(
createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred")
);
}
}
@@ -0,0 +1,69 @@
import { Request, Response, NextFunction } from "express";
import { z } from "zod";
import { aiBudgets, db } from "@server/db";
import response from "@server/lib/response";
import HttpCode from "@server/types/HttpCode";
import createHttpError from "http-errors";
import logger from "@server/logger";
import { fromError } from "zod-validation-error";
import { OpenAPITags, registry } from "@server/openApi";
import { asc, eq } from "drizzle-orm";
import type { ListAiBudgetsByScopeResponse } from "@server/routers/aiBudget/types";
const paramsSchema = z.strictObject({
roleId: z.coerce.number().int().positive()
});
registry.registerPath({
method: "get",
path: "/role/{roleId}/ai-budgets",
description: "List AI budgets scoped to a role.",
tags: [OpenAPITags.AiBudget],
request: {
params: paramsSchema
},
responses: {
200: {
description: "Successful response"
}
}
});
export async function listAiBudgetsForRole(
req: Request,
res: Response,
next: NextFunction
): Promise<any> {
try {
const parsedParams = paramsSchema.safeParse(req.params);
if (!parsedParams.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedParams.error).toString()
)
);
}
const { roleId } = parsedParams.data;
const budgets = await db
.select()
.from(aiBudgets)
.where(eq(aiBudgets.roleId, roleId))
.orderBy(asc(aiBudgets.budgetId));
return response<ListAiBudgetsByScopeResponse>(res, {
data: { budgets },
success: true,
error: false,
message: "AI budgets retrieved successfully",
status: HttpCode.OK
});
} catch (error) {
logger.error(error);
return next(
createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred")
);
}
}
@@ -0,0 +1,69 @@
import { Request, Response, NextFunction } from "express";
import { z } from "zod";
import { aiBudgets, db } from "@server/db";
import response from "@server/lib/response";
import HttpCode from "@server/types/HttpCode";
import createHttpError from "http-errors";
import logger from "@server/logger";
import { fromError } from "zod-validation-error";
import { OpenAPITags, registry } from "@server/openApi";
import { asc, eq } from "drizzle-orm";
import type { ListAiBudgetsByScopeResponse } from "@server/routers/aiBudget/types";
const paramsSchema = z.strictObject({
siteResourceId: z.coerce.number().int().positive()
});
registry.registerPath({
method: "get",
path: "/site-resource/{siteResourceId}/ai-budgets",
description: "List AI budgets scoped to a site resource.",
tags: [OpenAPITags.AiBudget],
request: {
params: paramsSchema
},
responses: {
200: {
description: "Successful response"
}
}
});
export async function listAiBudgetsForSiteResource(
req: Request,
res: Response,
next: NextFunction
): Promise<any> {
try {
const parsedParams = paramsSchema.safeParse(req.params);
if (!parsedParams.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedParams.error).toString()
)
);
}
const { siteResourceId } = parsedParams.data;
const budgets = await db
.select()
.from(aiBudgets)
.where(eq(aiBudgets.siteResourceId, siteResourceId))
.orderBy(asc(aiBudgets.budgetId));
return response<ListAiBudgetsByScopeResponse>(res, {
data: { budgets },
success: true,
error: false,
message: "AI budgets retrieved successfully",
status: HttpCode.OK
});
} catch (error) {
logger.error(error);
return next(
createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred")
);
}
}
+18
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@@ -0,0 +1,18 @@
import type { AiBudget } from "@server/db";
import type { PaginatedResponse } from "@server/types/Pagination";
export type ListAiBudgetsResponse = PaginatedResponse<{
budgets: AiBudget[];
}>;
export type ListAiBudgetsByScopeResponse = {
budgets: AiBudget[];
};
export type GetAiBudgetResponse = {
budget: AiBudget;
};
export type CreateOrEditAiBudgetResponse = {
budget: AiBudget;
};
+343
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@@ -0,0 +1,343 @@
import { Request, Response, NextFunction } from "express";
import { z } from "zod";
import {
aiBudgets,
aiModels,
aiProviders,
db,
resources,
roles,
siteResources
} from "@server/db";
import response from "@server/lib/response";
import HttpCode from "@server/types/HttpCode";
import createHttpError from "http-errors";
import logger from "@server/logger";
import { fromError } from "zod-validation-error";
import { OpenAPITags, registry } from "@server/openApi";
import { and, eq, isNull, ne } from "drizzle-orm";
import type { CreateOrEditAiBudgetResponse } from "@server/routers/aiBudget/types";
import {
aiBudgetEnforcementSchema,
aiBudgetPeriodSchema,
aiBudgetUnitSchema,
refineBudgetScopeFields
} from "@server/routers/aiBudget/validation";
const paramsSchema = z.strictObject({
budgetId: z.coerce.number().int().positive()
});
const bodySchema = z.strictObject({
providerId: z.coerce.number().int().positive().nullable().optional(),
modelId: z.coerce.number().int().positive().nullable().optional(),
resourceId: z.coerce.number().int().positive().nullable().optional(),
siteResourceId: z.coerce.number().int().positive().nullable().optional(),
roleId: z.coerce.number().int().positive().nullable().optional(),
amount: z.number().positive().optional(),
unit: aiBudgetUnitSchema.optional(),
period: aiBudgetPeriodSchema.optional(),
enforcement: aiBudgetEnforcementSchema.optional(),
enabled: z.boolean().optional()
});
registry.registerPath({
method: "post",
path: "/ai-budget/{budgetId}",
description: "Update an AI budget.",
tags: [OpenAPITags.AiBudget],
request: {
params: paramsSchema,
body: {
content: {
"application/json": {
schema: bodySchema
}
}
}
},
responses: {
200: {
description: "Successful response"
}
}
});
export async function updateAiBudget(
req: Request,
res: Response,
next: NextFunction
): Promise<any> {
try {
const parsedParams = paramsSchema.safeParse(req.params);
if (!parsedParams.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedParams.error).toString()
)
);
}
const parsedBody = bodySchema.safeParse(req.body);
if (!parsedBody.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedBody.error).toString()
)
);
}
const { budgetId } = parsedParams.data;
const body = parsedBody.data;
const [existing] =
req.aiBudget && req.aiBudget.budgetId === budgetId
? [req.aiBudget]
: await db
.select()
.from(aiBudgets)
.where(eq(aiBudgets.budgetId, budgetId))
.limit(1);
if (!existing) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`AI budget with ID ${budgetId} not found`
)
);
}
const orgId = existing.orgId;
const nextProviderId =
body.providerId !== undefined
? body.providerId
: existing.providerId;
const nextModelId =
body.modelId !== undefined ? body.modelId : existing.modelId;
const nextResourceId =
body.resourceId !== undefined
? body.resourceId
: existing.resourceId;
const nextSiteResourceId =
body.siteResourceId !== undefined
? body.siteResourceId
: existing.siteResourceId;
const nextRoleId =
body.roleId !== undefined ? body.roleId : existing.roleId;
const nextUnit = body.unit !== undefined ? body.unit : existing.unit;
const nextPeriod =
body.period !== undefined ? body.period : existing.period;
const scopeValidation = z
.object({
providerId: z.number().nullable().optional(),
modelId: z.number().nullable().optional(),
resourceId: z.number().nullable().optional(),
siteResourceId: z.number().nullable().optional(),
roleId: z.number().nullable().optional()
})
.superRefine((data, ctx) => refineBudgetScopeFields(data, ctx))
.safeParse({
providerId: nextProviderId,
modelId: nextModelId,
resourceId: nextResourceId,
siteResourceId: nextSiteResourceId,
roleId: nextRoleId
});
if (!scopeValidation.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(scopeValidation.error).toString()
)
);
}
if (body.providerId !== undefined && body.providerId !== null) {
const [provider] = await db
.select({ orgId: aiProviders.orgId })
.from(aiProviders)
.where(eq(aiProviders.providerId, body.providerId))
.limit(1);
if (!provider || provider.orgId !== orgId) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`AI provider with ID ${body.providerId} not found in this organization`
)
);
}
}
if (body.modelId !== undefined && body.modelId !== null) {
const [model] = await db
.select({ orgId: aiProviders.orgId })
.from(aiModels)
.innerJoin(
aiProviders,
eq(aiModels.providerId, aiProviders.providerId)
)
.where(eq(aiModels.modelId, body.modelId))
.limit(1);
if (!model || model.orgId !== orgId) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`AI model with ID ${body.modelId} not found in this organization`
)
);
}
}
if (body.resourceId !== undefined && body.resourceId !== null) {
const [resource] = await db
.select({ orgId: resources.orgId })
.from(resources)
.where(eq(resources.resourceId, body.resourceId))
.limit(1);
if (!resource || resource.orgId !== orgId) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`Resource with ID ${body.resourceId} not found in this organization`
)
);
}
}
if (
body.siteResourceId !== undefined &&
body.siteResourceId !== null
) {
const [siteResource] = await db
.select({ orgId: siteResources.orgId })
.from(siteResources)
.where(eq(siteResources.siteResourceId, body.siteResourceId))
.limit(1);
if (!siteResource || siteResource.orgId !== orgId) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`Site resource with ID ${body.siteResourceId} not found in this organization`
)
);
}
}
if (body.roleId !== undefined && body.roleId !== null) {
const [role] = await db
.select({ orgId: roles.orgId })
.from(roles)
.where(eq(roles.roleId, body.roleId))
.limit(1);
if (!role || role.orgId !== orgId) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`Role with ID ${body.roleId} not found in this organization`
)
);
}
}
const scopeCondition =
nextProviderId !== null
? eq(aiBudgets.providerId, nextProviderId)
: nextModelId !== null
? eq(aiBudgets.modelId, nextModelId)
: nextResourceId !== null
? eq(aiBudgets.resourceId, nextResourceId)
: nextSiteResourceId !== null
? eq(aiBudgets.siteResourceId, nextSiteResourceId)
: nextRoleId !== null
? eq(aiBudgets.roleId, nextRoleId)
: and(
eq(aiBudgets.orgId, orgId),
isNull(aiBudgets.providerId),
isNull(aiBudgets.modelId),
isNull(aiBudgets.resourceId),
isNull(aiBudgets.siteResourceId),
isNull(aiBudgets.roleId)
);
const [conflict] = await db
.select({ budgetId: aiBudgets.budgetId })
.from(aiBudgets)
.where(
and(
scopeCondition,
eq(aiBudgets.unit, nextUnit),
eq(aiBudgets.period, nextPeriod),
ne(aiBudgets.budgetId, budgetId)
)
)
.limit(1);
if (conflict) {
return next(
createHttpError(
HttpCode.CONFLICT,
`A ${nextPeriod} ${nextUnit} budget already exists for this scope`
)
);
}
const updateData: Partial<typeof aiBudgets.$inferInsert> = {
updatedAt: Date.now()
};
if (body.providerId !== undefined) {
updateData.providerId = body.providerId;
}
if (body.modelId !== undefined) {
updateData.modelId = body.modelId;
}
if (body.resourceId !== undefined) {
updateData.resourceId = body.resourceId;
}
if (body.siteResourceId !== undefined) {
updateData.siteResourceId = body.siteResourceId;
}
if (body.roleId !== undefined) {
updateData.roleId = body.roleId;
}
if (body.amount !== undefined) {
updateData.amount = body.amount;
}
if (body.unit !== undefined) {
updateData.unit = body.unit;
}
if (body.period !== undefined) {
updateData.period = body.period;
}
if (body.enforcement !== undefined) {
updateData.enforcement = body.enforcement;
}
if (body.enabled !== undefined) {
updateData.enabled = body.enabled;
}
const [budget] = await db
.update(aiBudgets)
.set(updateData)
.where(eq(aiBudgets.budgetId, budgetId))
.returning();
return response<CreateOrEditAiBudgetResponse>(res, {
data: { budget },
success: true,
error: false,
message: "AI budget updated successfully",
status: HttpCode.OK
});
} catch (error) {
logger.error(error);
return next(
createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred")
);
}
}
+46
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@@ -0,0 +1,46 @@
import { z } from "zod";
export const aiBudgetUnitSchema = z.enum(["usd", "tokens"]);
export const aiBudgetPeriodSchema = z.enum([
"monthly",
"yearly",
"lifetime",
"daily",
"hourly",
"weekly"
]);
export const aiBudgetEnforcementSchema = z.enum(["hard", "soft"]);
export function refineBudgetScopeFields(
data: {
providerId?: number | null;
modelId?: number | null;
resourceId?: number | null;
siteResourceId?: number | null;
roleId?: number | null;
},
ctx: z.RefinementCtx
) {
const scopeFields = [
data.providerId,
data.modelId,
data.resourceId,
data.siteResourceId,
data.roleId
];
const setCount = scopeFields.filter(
(value) => value !== null && value !== undefined
).length;
if (setCount > 1) {
ctx.addIssue({
code: "custom",
message:
"Only one of providerId, modelId, resourceId, siteResourceId, or roleId may be set on a budget",
path: ["providerId"]
});
}
}
@@ -0,0 +1,21 @@
import { Router } from "express";
import {
AI_CAPABILITY_DEFS,
type AiCapability
} from "@server/lib/aiCapabilities";
import { handleAiGatewayProxy } from "@server/routers/aiGateway/pipeline";
export function createAiGatewayRouter() {
const router = Router();
for (const def of Object.values(AI_CAPABILITY_DEFS)) {
const capability = def.id as AiCapability;
for (const route of def.routes) {
router.post(route.path, (req, res) =>
handleAiGatewayProxy(req, res, capability)
);
}
}
return router;
}
+2
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@@ -0,0 +1,2 @@
export { handleAiGatewayProxy } from "./pipeline";
export { createAiGatewayRouter } from "./createAiGatewayRouter";
+271
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@@ -0,0 +1,271 @@
import { logsDb, db, orgs, aiSessionLog, type AiProvider } from "@server/db";
import type { InferInsertModel } from "drizzle-orm";
import logger from "@server/logger";
import { and, eq, lt } from "drizzle-orm";
import cache from "#dynamic/lib/cache";
import { calculateCutoffTimestamp } from "@server/lib/cleanupLogs";
import { sanitizeString } from "@server/lib/sanitize";
import type { AiCapability } from "@server/lib/aiCapabilities";
import {
normalizeAiRequest,
normalizeAiResponse
} from "@server/lib/aiMessageNormalization";
// Caps how much of the request/response body we keep per row, so a single
// huge multimodal payload can't blow up buffer memory or storage.
const AI_SESSION_LOG_MAX_BODY_CHARS = 200_000;
type AiSessionLogInsert = InferInsertModel<typeof aiSessionLog>;
// In-memory buffer for batching AI session log inserts, mirroring the
// approach in server/routers/badger/logRequestAudit.ts.
const sessionLogBuffer: AiSessionLogInsert[] = [];
const BATCH_SIZE = 100; // Write to DB every 100 logs
const BATCH_INTERVAL_MS = 5000; // Or every 5 seconds, whichever comes first
const MAX_BUFFER_SIZE = 10000; // Prevent unbounded memory growth
let flushTimer: NodeJS.Timeout | null = null;
let isFlushInProgress = false;
/**
* Flush buffered logs to database
*/
async function flushSessionLogs() {
if (sessionLogBuffer.length === 0 || isFlushInProgress) {
return;
}
isFlushInProgress = true;
// Take all current logs and clear buffer
const logsToWrite = sessionLogBuffer.splice(0, sessionLogBuffer.length);
try {
// Use a transaction to ensure all inserts succeed or fail together
await logsDb.transaction(async (tx) => {
// Batch insert logs in groups of 25 to avoid overwhelming the database
const BATCH_DB_SIZE = 25;
for (let i = 0; i < logsToWrite.length; i += BATCH_DB_SIZE) {
const batch = logsToWrite.slice(i, i + BATCH_DB_SIZE);
await tx.insert(aiSessionLog).values(batch);
}
});
logger.debug(
`Flushed ${logsToWrite.length} AI session logs to database`
);
} catch (error) {
logger.error("Error flushing AI session logs:", error);
// On transaction error, put logs back at the front of the buffer to retry
// but only if buffer isn't too large
if (sessionLogBuffer.length < MAX_BUFFER_SIZE - logsToWrite.length) {
sessionLogBuffer.unshift(...logsToWrite);
logger.info(
`Re-queued ${logsToWrite.length} AI session logs for retry`
);
} else {
logger.error(
`Buffer full, dropped ${logsToWrite.length} AI session logs`
);
}
} finally {
isFlushInProgress = false;
// If buffer filled up while we were flushing, flush again
if (sessionLogBuffer.length >= BATCH_SIZE) {
flushSessionLogs().catch((err) =>
logger.error("Error in follow-up AI session log flush:", err)
);
}
}
}
/**
* Schedule a flush if not already scheduled
*/
function scheduleFlush() {
if (flushTimer === null) {
flushTimer = setTimeout(() => {
flushTimer = null;
flushSessionLogs().catch((err) =>
logger.error("Error in scheduled AI session log flush:", err)
);
}, BATCH_INTERVAL_MS);
}
}
/**
* Gracefully flush all pending logs (call this on shutdown)
*/
export async function shutdownAiSessionLogger() {
if (flushTimer) {
clearTimeout(flushTimer);
flushTimer = null;
}
// Force flush even if one is in progress by waiting and retrying
while (isFlushInProgress) {
await new Promise((resolve) => setTimeout(resolve, 100));
}
await flushSessionLogs();
}
async function getRetentionDays(orgId: string): Promise<number> {
// check cache first
const cached = await cache.get<number>(`org_${orgId}_aiSessionsDays`);
if (cached !== undefined) {
return cached;
}
const [org] = await db
.select({
settingsLogRetentionDaysAISessions:
orgs.settingsLogRetentionDaysAISessions
})
.from(orgs)
.where(eq(orgs.orgId, orgId))
.limit(1);
if (!org) {
return 0;
}
// store the result in cache
await cache.set(
`org_${orgId}_aiSessionsDays`,
org.settingsLogRetentionDaysAISessions,
300
);
return org.settingsLogRetentionDaysAISessions;
}
export async function cleanUpOldLogs(orgId: string, retentionDays: number) {
// calculateCutoffTimestamp returns a seconds-epoch cutoff (built for
// requestAuditLog.timestamp), but aiSessionLog.createdAt is ms-epoch to
// match aiUsageRecords - convert before comparing.
const cutoffTimestampMs = calculateCutoffTimestamp(retentionDays) * 1000;
try {
await logsDb
.delete(aiSessionLog)
.where(
and(
lt(aiSessionLog.createdAt, cutoffTimestampMs),
eq(aiSessionLog.orgId, orgId)
)
);
} catch (error) {
logger.error("Error cleaning up old AI session logs:", error);
}
}
function truncateBody(value: string): { value: string; truncated: boolean } {
if (value.length <= AI_SESSION_LOG_MAX_BODY_CHARS) {
return { value, truncated: false };
}
return {
value: value.slice(0, AI_SESSION_LOG_MAX_BODY_CHARS),
truncated: true
};
}
export function logAiSession(data: {
sessionId: string;
capability: AiCapability;
provider: AiProvider;
requestedModel: string | undefined;
requestBody: unknown;
responseText: string;
isStream: boolean;
statusCode: number;
orgId: string | null;
resourceId: number | null;
siteResourceId: number | null;
requestUserId: string | null;
}): void {
(async () => {
try {
// Check retention before buffering any logs
if (data.orgId) {
const retentionDays = await getRetentionDays(data.orgId);
if (retentionDays === 0) {
// do not log
return;
}
} else {
// No org resolved for this request - nothing to govern
// retention with, so don't log it.
return;
}
const requestBodyText = truncateBody(
JSON.stringify(data.requestBody ?? "")
);
const responseBodyText = truncateBody(data.responseText ?? "");
// Uniform, capability-agnostic transcript for search/display -
// computed from the untruncated originals so normalization sees
// the full content; the normalized result gets its own
// (typically much smaller) truncation pass below.
const normalizedRequestMessages = normalizeAiRequest(
data.capability,
data.requestBody
);
const normalizedResponseMessages = normalizeAiResponse(
data.capability,
data.responseText ?? "",
data.isStream
);
const normalizedRequestText = normalizedRequestMessages
? truncateBody(JSON.stringify(normalizedRequestMessages))
: null;
const normalizedResponseText = normalizedResponseMessages
? truncateBody(JSON.stringify(normalizedResponseMessages))
: null;
// Prevent unbounded buffer growth - drop oldest entries if buffer is too large
if (sessionLogBuffer.length >= MAX_BUFFER_SIZE) {
const dropped = sessionLogBuffer.splice(0, BATCH_SIZE);
logger.warn(
`AI session log buffer exceeded max size (${MAX_BUFFER_SIZE}), dropped ${dropped.length} oldest entries`
);
}
sessionLogBuffer.push({
sessionId: data.sessionId,
orgId: sanitizeString(data.orgId),
providerId: data.provider.providerId,
capability: data.capability,
resourceId: data.resourceId ?? undefined,
siteResourceId: data.siteResourceId ?? undefined,
userId: sanitizeString(data.requestUserId ?? undefined),
requestedModel: sanitizeString(data.requestedModel),
isStream: data.isStream,
requestBody: sanitizeString(requestBodyText.value),
responseBody: sanitizeString(responseBodyText.value),
normalizedRequest: normalizedRequestText
? sanitizeString(normalizedRequestText.value)
: undefined,
normalizedResponse: normalizedResponseText
? sanitizeString(normalizedResponseText.value)
: undefined,
truncated:
requestBodyText.truncated ||
responseBodyText.truncated ||
(normalizedRequestText?.truncated ?? false) ||
(normalizedResponseText?.truncated ?? false),
statusCode: data.statusCode,
createdAt: Date.now()
});
// Flush immediately if buffer is full, otherwise schedule a flush
if (sessionLogBuffer.length >= BATCH_SIZE) {
flushSessionLogs().catch((err) =>
logger.error("Error flushing AI session logs:", err)
);
} else {
scheduleFlush();
}
} catch (error) {
logger.error("Failed to log AI session", { error });
}
})();
}
+939
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import { randomUUID } from "crypto";
import { Request, Response } from "express";
import { and, eq, inArray } from "drizzle-orm";
import {
AiBudget,
AiProvider,
aiModels,
aiProviders,
clients,
db,
exitNodes,
resourceAiModels,
resourceAiProviders,
resources,
siteResourceAiModels,
siteResourceAiProviders,
siteResources,
users
} from "@server/db";
import config from "@server/lib/config";
import { decrypt } from "@server/lib/crypto";
import {
AiProviderAuthType,
AiProviderType,
applyAiProviderAuthHeaders,
applyAiProviderCustomHeaders,
authTypeRequiresApiKey
} from "@server/lib/aiProviderDefaults";
import {
AI_CAPABILITY_DEFS,
providerHasCapability,
type AiCapability
} from "@server/lib/aiCapabilities";
import { proxyAiGatewayToSiteTarget } from "@server/routers/aiGateway/targetRouting";
import {
SESSION_COOKIE_NAME,
validateSessionToken
} from "@server/auth/sessions/app";
import { getUserOrgRoles } from "@server/lib/userOrgRoles";
import { isIpInCidr } from "@server/lib/ip";
import { localCache } from "@server/lib/cache";
import logger from "@server/logger";
import HttpCode from "@server/types/HttpCode";
import {
resolveEffectiveLists,
type AccessMode,
type ModelListType
} from "@server/lib/aiInferenceResource";
import {
compareModelKeySpecificity,
isAllowedByLists,
mostSpecificMatchingAllow
} from "@server/lib/aiModelKeyMatch";
import {
catalogOwnershipScore,
keepBestScored,
providerClassRank
} from "@server/lib/aiProviderSelection";
import { aiGatewayUpstreamFetch } from "@server/lib/aiGatewayUpstreamFetch";
import { getModelPricing, calculateAiCost } from "@server/lib/aiModelPricing";
import {
applyUsageToBudgetCache,
checkBudgets,
recordUsage
} from "@server/lib/aiBudgetEnforcement";
import {
extractUsage,
estimateUsage,
isUsageEmpty,
needsStreamUsageInjection,
withStreamUsageOption,
extractResponseModel,
type AiUsage
} from "@server/lib/aiUsageExtraction";
import { streamAiGatewayResponse } from "@server/routers/aiGateway/streamAiGatewayResponse";
import { logAiSession } from "@server/routers/aiGateway/logAiSession";
const EXIT_NODE_RANGES_CACHE_KEY = "aiGateway:exitNodeRanges";
const EXIT_NODE_RANGES_TTL_SEC = 6000;
const CLIENT_BY_IP_TTL_SEC = 30;
const REQUEST_USER_TTL_SEC = 30;
type CachedClient = { clientId: number; userId: string | null } | null;
async function getExitNodeRanges(): Promise<string[]> {
const cached = localCache.get<string[]>(EXIT_NODE_RANGES_CACHE_KEY);
if (cached) {
return cached;
}
const rows = await db
.select({ address: exitNodes.address })
.from(exitNodes);
const ranges = rows.map((r) => r.address);
localCache.set(
EXIT_NODE_RANGES_CACHE_KEY,
ranges,
EXIT_NODE_RANGES_TTL_SEC
);
return ranges;
}
async function findClientByIp(ip: string): Promise<CachedClient> {
const cacheKey = `aiGateway:clientByIp:${ip}`;
const cached = localCache.get<CachedClient>(cacheKey);
if (cached !== undefined) {
return cached;
}
const [client] = await db
.select({ clientId: clients.clientId, userId: clients.userId })
.from(clients)
.where(eq(clients.exitNodeSubnet, `${ip}/32`))
.limit(1);
const result: CachedClient = client || null;
localCache.set(cacheKey, result, CLIENT_BY_IP_TTL_SEC);
return result;
}
type ProviderAttachment = {
provider: AiProvider;
accessMode: AccessMode;
};
type ResourceModelPattern = {
providerId: number;
modelKey: string;
listType: ModelListType;
enabled: boolean;
};
type ProviderPatternLists = {
allows: string[];
blocks: string[];
};
type ResolvedTarget = {
resourceId: number | null;
siteResourceId: number | null;
orgId: string | null;
attachments: ProviderAttachment[];
resourceListsByProvider: Map<number, ProviderPatternLists>;
};
type ProviderSelection =
| { ok: true; provider: AiProvider }
| { ok: false; status: number; message: string };
export type RequestUser = {
userId: string;
username: string;
email: string | null;
name: string | null;
role: string | null;
roleIds: number[];
};
// Identity headers forwarded to the upstream inference endpoint when the
// requesting user is known. Omitted entirely (not sent empty) when we
// couldn't resolve a user for the request.
export function applyRequestUserHeaders(
headers: Record<string, string>,
requestUser: RequestUser | null
): void {
if (!requestUser) {
return;
}
headers["Remote-User"] = requestUser.username;
if (requestUser.email) {
headers["Remote-Email"] = requestUser.email;
}
if (requestUser.name) {
headers["Remote-Name"] = requestUser.name;
}
if (requestUser.role) {
headers["Remote-Role"] = requestUser.role;
}
}
async function buildRequestUser(
userId: string,
orgId: string | null
): Promise<RequestUser | null> {
const cacheKey = `aiGateway:requestUser:${userId}:${orgId || ""}`;
const cached = localCache.get<RequestUser | null>(cacheKey);
if (cached !== undefined) {
return cached;
}
const [user] = await db
.select()
.from(users)
.where(eq(users.userId, userId))
.limit(1);
if (!user) {
localCache.set(cacheKey, null, REQUEST_USER_TTL_SEC);
return null;
}
const orgRoles = orgId ? await getUserOrgRoles(user.userId, orgId) : [];
const requestUser: RequestUser = {
userId: user.userId,
username: user.username,
email: user.email,
name: user.name,
role: orgRoles.map((r) => r.roleName).join(", ") || null,
roleIds: orgRoles.map((r) => r.roleId)
};
localCache.set(cacheKey, requestUser, REQUEST_USER_TTL_SEC);
return requestUser;
}
async function resolveRequestUser(
req: Request,
_resourceId: number | null,
orgId: string | null
): Promise<RequestUser | null> {
const sessionToken = req.cookies?.[SESSION_COOKIE_NAME];
if (sessionToken) {
const { session, user } = await validateSessionToken(sessionToken);
if (session && user) {
return buildRequestUser(user.userId, orgId);
}
}
// TODO: MAKE SURE THIS CAN NOT BE SPOOFED AND CAN BE TRUSTED AS AN INTERNAL ADDRESS FROM A NODE
const ip = req.ip;
if (!ip) {
return null;
}
const exitNodeRanges = await getExitNodeRanges();
const inExitNodeRange = exitNodeRanges.some((range) =>
isIpInCidr(ip, range)
);
if (!inExitNodeRange) {
return null;
}
const client = await findClientByIp(ip);
if (!client || !client.userId) {
return null;
}
return buildRequestUser(client.userId, orgId);
}
async function resolveTarget(host: string): Promise<ResolvedTarget | null> {
const [[resourceRow], [siteResourceRow]] = await Promise.all([
db
.select({
resourceId: resources.resourceId,
orgId: resources.orgId
})
.from(resources)
.where(
and(
eq(resources.fullDomain, host),
eq(resources.mode, "inference"),
eq(resources.enabled, true)
)
)
.limit(1),
db
.select({
siteResourceId: siteResources.siteResourceId,
orgId: siteResources.orgId
})
.from(siteResources)
.where(
and(
eq(siteResources.fullDomain, host),
eq(siteResources.mode, "inference"),
eq(siteResources.enabled, true)
)
)
.limit(1)
]);
// Prefer public inference resources when both match the same host.
if (resourceRow) {
const [attachmentRows, resourcePatterns] = await Promise.all([
db
.select({
provider: aiProviders,
accessMode: resourceAiProviders.accessMode
})
.from(resourceAiProviders)
.innerJoin(
aiProviders,
eq(resourceAiProviders.providerId, aiProviders.providerId)
)
.where(
and(
eq(
resourceAiProviders.resourceId,
resourceRow.resourceId
),
eq(aiProviders.enabled, true),
eq(resourceAiProviders.enabled, true)
)
),
db
.select({
providerId: aiModels.providerId,
modelKey: aiModels.modelKey,
listType: resourceAiModels.listType,
enabled: aiModels.enabled
})
.from(resourceAiModels)
.innerJoin(
aiModels,
eq(resourceAiModels.modelId, aiModels.modelId)
)
.where(eq(resourceAiModels.resourceId, resourceRow.resourceId))
]);
if (attachmentRows.length === 0) {
return null;
}
return {
resourceId: resourceRow.resourceId,
siteResourceId: null,
orgId: resourceRow.orgId,
attachments: attachmentRows.map((a) => ({
provider: a.provider,
accessMode: a.accessMode
})),
resourceListsByProvider: groupPatternsByProvider(resourcePatterns)
};
}
if (siteResourceRow) {
const [attachmentRows, resourcePatterns] = await Promise.all([
db
.select({
provider: aiProviders,
accessMode: siteResourceAiProviders.accessMode
})
.from(siteResourceAiProviders)
.innerJoin(
aiProviders,
eq(
siteResourceAiProviders.providerId,
aiProviders.providerId
)
)
.where(
and(
eq(
siteResourceAiProviders.siteResourceId,
siteResourceRow.siteResourceId
),
eq(aiProviders.enabled, true),
eq(siteResourceAiProviders.enabled, true)
)
),
db
.select({
providerId: aiModels.providerId,
modelKey: aiModels.modelKey,
listType: siteResourceAiModels.listType,
enabled: aiModels.enabled
})
.from(siteResourceAiModels)
.innerJoin(
aiModels,
eq(siteResourceAiModels.modelId, aiModels.modelId)
)
.where(
eq(
siteResourceAiModels.siteResourceId,
siteResourceRow.siteResourceId
)
)
]);
if (attachmentRows.length === 0) {
return null;
}
return {
resourceId: null,
siteResourceId: siteResourceRow.siteResourceId,
orgId: siteResourceRow.orgId,
attachments: attachmentRows.map((a) => ({
provider: a.provider,
accessMode: a.accessMode
})),
resourceListsByProvider: groupPatternsByProvider(resourcePatterns)
};
}
return null;
}
function groupPatternsByProvider(
patterns: ResourceModelPattern[]
): Map<number, ProviderPatternLists> {
const byProvider = new Map<number, ProviderPatternLists>();
for (const pattern of patterns) {
if (!pattern.enabled) {
continue;
}
let lists = byProvider.get(pattern.providerId);
if (!lists) {
lists = { allows: [], blocks: [] };
byProvider.set(pattern.providerId, lists);
}
if (pattern.listType === "allow") {
lists.allows.push(pattern.modelKey);
} else {
lists.blocks.push(pattern.modelKey);
}
}
return byProvider;
}
async function selectProvider(
attachments: ProviderAttachment[],
resourceListsByProvider: Map<number, ProviderPatternLists>,
requestedModel: string | undefined
): Promise<ProviderSelection> {
if (!requestedModel) {
return {
ok: false,
status: HttpCode.FORBIDDEN,
message: "A model must be specified for this resource"
};
}
const attachmentByProviderId = new Map(
attachments.map((a) => [a.provider.providerId, a])
);
const providerIds = [...attachmentByProviderId.keys()];
if (providerIds.length === 0) {
return {
ok: false,
status: HttpCode.FORBIDDEN,
message: `Model "${requestedModel}" is not permitted on this resource`
};
}
const providerModels = await db
.select({
providerId: aiModels.providerId,
modelKey: aiModels.modelKey,
listType: aiModels.listType,
enabled: aiModels.enabled
})
.from(aiModels)
.where(inArray(aiModels.providerId, providerIds));
const allowsByProvider = new Map<number, string[]>();
const blocksByProvider = new Map<number, string[]>();
for (const model of providerModels) {
if (!model.enabled) {
continue;
}
const targetMap =
model.listType === "allow" ? allowsByProvider : blocksByProvider;
const existing = targetMap.get(model.providerId) ?? [];
existing.push(model.modelKey);
targetMap.set(model.providerId, existing);
}
type ModelCandidate = {
provider: AiProvider;
modelKey: string;
};
const candidates: ModelCandidate[] = [];
for (const [providerId, attachment] of attachmentByProviderId) {
const resourceLists = resourceListsByProvider.get(providerId);
const { allows, blocks } = resolveEffectiveLists({
accessMode: attachment.accessMode,
providerAllows: allowsByProvider.get(providerId) ?? [],
providerBlocks: blocksByProvider.get(providerId) ?? [],
resourceAllows: resourceLists?.allows ?? [],
resourceBlocks: resourceLists?.blocks ?? []
});
if (!isAllowedByLists(requestedModel, allows, blocks)) {
continue;
}
const matchingAllow = mostSpecificMatchingAllow(requestedModel, allows);
if (!matchingAllow) {
continue;
}
candidates.push({
provider: attachment.provider,
modelKey: matchingAllow
});
}
if (candidates.length === 0) {
return {
ok: false,
status: HttpCode.FORBIDDEN,
message: `Model "${requestedModel}" is not permitted on this resource`
};
}
// 1) Prefer the most specific allow pattern that matched the request.
candidates.sort((a, b) =>
compareModelKeySpecificity(a.modelKey, b.modelKey)
);
const bestSpecificity = candidates[0].modelKey;
let remaining = candidates.filter(
(c) => compareModelKeySpecificity(c.modelKey, bestSpecificity) === 0
);
// 2) Prefer providers whose catalog owns this model id. Aggregators only
// score when the model is known somewhere in the catalog.
remaining = keepBestScored(remaining, (c) =>
catalogOwnershipScore(c.provider.type as AiProviderType, requestedModel)
);
// 3) Prefer native typed providers over aggregators over custom.
remaining = keepBestScored(remaining, (c) =>
providerClassRank(c.provider.type as AiProviderType)
);
const uniqueProviders = new Map<number, AiProvider>();
for (const candidate of remaining) {
uniqueProviders.set(candidate.provider.providerId, candidate.provider);
}
if (uniqueProviders.size === 1) {
return { ok: true, provider: [...uniqueProviders.values()][0] };
}
return {
ok: false,
status: HttpCode.FORBIDDEN,
message: `Model "${requestedModel}" is ambiguous across multiple AI providers on this resource. Ask your administrator to configure a more specific allow pattern for this model.`
};
}
// Extracts usage/cost from a completed AI gateway request, records it for
// budget enforcement, and logs the aggregated prompt/response for session
// replay. Shared by both the direct-upstream path (below) and the
// "custom"/target routing-mode path (targetRouting.ts) so both get identical
// usage/cost tracking and session logging instead of only the direct-upstream
// path having it.
export function recordAiGatewayCompletion(args: {
capability: AiCapability;
provider: AiProvider;
requestedModel: string | undefined;
requestBody: unknown;
responseText: string;
isStream: boolean;
statusCode: number;
headers: Headers;
orgId: string | null;
resourceId: number | null;
siteResourceId: number | null;
requestUserId: string | null;
budgets: AiBudget[];
}): void {
const {
capability,
provider,
requestedModel,
requestBody,
responseText,
isStream,
statusCode,
headers,
orgId,
resourceId,
siteResourceId,
requestUserId,
budgets
} = args;
let usage: AiUsage | null = extractUsage(
capability,
responseText,
isStream,
headers
);
if (!usage || isUsageEmpty(usage)) {
usage = estimateUsage(JSON.stringify(requestBody ?? ""), responseText);
}
const model = extractResponseModel(responseText) ?? requestedModel;
const pricing = getModelPricing(provider.type as AiProviderType, model);
const cost = calculateAiCost(pricing, usage);
// Shared by the usage record and the session log so the two can be
// joined later to show token/cost usage alongside the transcript -
// generated up front since neither buffered insert's row id is known
// until its next batch flush.
const sessionId = randomUUID();
logger.info("AI gateway request usage", {
capability,
providerId: provider.providerId,
providerType: provider.type,
model,
estimated: usage.estimated,
promptTokens: usage.promptTokens,
cacheReadTokens: usage.cacheReadTokens,
cacheWriteTokens: usage.cacheWriteTokens,
completionTokens: usage.completionTokens,
reasoningTokens: usage.reasoningTokens,
pricingApproximate: pricing?.approximate ?? null,
totalCostUsd: cost?.totalCost ?? null
});
if (orgId) {
void recordUsage({
orgId,
providerId: provider.providerId,
resourceId,
siteResourceId,
userId: requestUserId,
requestedModel: model ?? "unknown",
usage,
costUsd: cost?.totalCost ?? null,
sessionId
});
if (budgets.length > 0) {
void applyUsageToBudgetCache(budgets, {
usd: cost?.totalCost ?? 0,
tokens:
usage.promptTokens +
usage.cacheReadTokens +
usage.cacheWriteTokens +
usage.completionTokens +
usage.reasoningTokens
});
}
}
logAiSession({
sessionId,
capability,
provider,
requestedModel,
requestBody,
responseText,
isStream,
statusCode,
orgId,
resourceId,
siteResourceId,
requestUserId
});
}
export async function handleAiGatewayProxy(
req: Request,
res: Response,
capability: AiCapability
): Promise<any> {
try {
const def = AI_CAPABILITY_DEFS[capability];
const host = (
(req.headers["p-host"] as string | undefined) || // p-host is only used sometimes when overriding the host header for some middleware proxy
req.headers.host ||
""
).split(":")[0];
if (!host) {
return res
.status(HttpCode.BAD_REQUEST)
.json({ error: { message: "Missing Host header" } });
}
logger.info(`AI gateway ${capability} request for host: ${host}`);
const target = await resolveTarget(host);
if (!target) {
return res.status(HttpCode.NOT_FOUND).json({
error: {
message: "No inference resource found for this host"
}
});
}
const {
attachments,
resourceListsByProvider,
resourceId,
siteResourceId,
orgId
} = target;
const capableAttachments = attachments.filter((a) =>
providerHasCapability(a.provider.capabilities, capability)
);
if (capableAttachments.length === 0) {
return res.status(HttpCode.FORBIDDEN).json({
error: {
message: `No AI provider on this resource supports ${capability}`
}
});
}
const requestedModel = def.extractModel(req);
const [requestUser, selection] = await Promise.all([
resolveRequestUser(req, resourceId, orgId),
selectProvider(
capableAttachments,
resourceListsByProvider,
requestedModel
)
]);
if (requestUser) {
logger.debug(
`AI gateway request from user ${requestUser.userId} (${requestUser.username})`
);
}
if (!selection.ok) {
return res.status(selection.status).json({
error: { message: selection.message }
});
}
const { provider } = selection;
let appliedBudgets: AiBudget[] = [];
if (orgId) {
const budgetCheck = await checkBudgets({
orgId,
providerId: provider.providerId,
requestedModel: requestedModel!,
resourceId,
siteResourceId,
roleIds: requestUser?.roleIds ?? [],
requestUserId: requestUser?.userId ?? null
});
appliedBudgets = budgetCheck.budgets;
if (budgetCheck.blocked) {
logger.warn("AI gateway request blocked by budget", {
budgetId: budgetCheck.blockingBudget?.budgetId,
orgId,
providerId: provider.providerId,
requestedModel,
resourceId,
siteResourceId,
userId: requestUser?.userId ?? null
});
return res.status(HttpCode.TOO_MANY_REQUESTS).json({
error: {
message: "AI usage budget exceeded for this request"
}
});
}
}
if (provider.type === "custom" && provider.routingMode === "target") {
return await proxyAiGatewayToSiteTarget(
req,
res,
provider,
requestUser,
capability,
{
orgId,
resourceId,
siteResourceId,
requestedModel,
budgets: appliedBudgets
}
);
}
const upstreamUrl = provider.upstreamUrl;
const authType = provider.authType as AiProviderAuthType;
if (!upstreamUrl) {
return res.status(HttpCode.INTERNAL_SERVER_ERROR).json({
error: {
message: "AI provider has no upstream URL configured"
}
});
}
let apiKey: string | null = null;
if (authTypeRequiresApiKey(authType)) {
if (!provider.apiKey) {
return res.status(HttpCode.INTERNAL_SERVER_ERROR).json({
error: {
message: "AI provider has no API key configured"
}
});
}
const secret = config.getRawConfig().server.secret!;
apiKey = decrypt(provider.apiKey, secret);
}
const targetUrl = def.resolveUpstreamUrl(
upstreamUrl,
req,
requestedModel!
);
const skipHeaders = new Set([
"p-host",
"host",
"connection",
"keep-alive",
"proxy-authenticate",
"proxy-authorization",
"te",
"trailers",
"transfer-encoding",
"upgrade",
"content-length",
"accept-encoding"
]);
const headers: Record<string, string> = {};
for (const [key, value] of Object.entries(req.headers)) {
if (skipHeaders.has(key.toLowerCase()) || value === undefined) {
continue;
}
headers[key] = Array.isArray(value) ? value.join(", ") : value;
}
applyAiProviderCustomHeaders(
headers,
provider.headers,
config.getRawConfig().server.secret!
);
applyAiProviderAuthHeaders(headers, authType, apiKey);
applyRequestUserHeaders(headers, requestUser);
// OpenAI's Chat Completions API only reports usage in a streaming
// response when asked to via stream_options.include_usage - inject
// it ourselves when the caller didn't, so we can still track cost,
// and strip the extra frame it adds back out of what we forward.
const injectedUsageOurselves = needsStreamUsageInjection(
capability,
req.body
);
const outboundBody = injectedUsageOurselves
? withStreamUsageOption(req.body)
: req.body;
const body = JSON.stringify(outboundBody);
logger.debug("AI gateway upstream request", {
capability,
url: targetUrl,
method: "POST",
headers,
body: outboundBody,
skipTlsVerification: provider.skipTlsVerification
});
const abortController = new AbortController();
const onClientClose = () => {
if (!res.writableEnded) {
abortController.abort();
}
};
res.on("close", onClientClose);
let upstreamRes: globalThis.Response;
try {
upstreamRes = await aiGatewayUpstreamFetch(targetUrl, {
method: "POST",
headers,
body,
skipTlsVerification: provider.skipTlsVerification,
signal: abortController.signal
});
} catch (fetchError) {
res.off("close", onClientClose);
if (abortController.signal.aborted) {
// Client already disconnected; nothing left to respond to.
return;
}
logger.error({
message: "AI gateway upstream fetch failed",
url: targetUrl,
error: fetchError,
cause:
fetchError instanceof Error
? (fetchError as Error & { cause?: unknown }).cause
: undefined
});
throw fetchError;
}
const isStream = def.isStreaming(
req,
upstreamRes.headers.get("content-type") || ""
);
const { fullText, aborted } = await streamAiGatewayResponse({
res,
upstreamRes,
isStream,
injectedUsageOurselves,
abortController,
onClientClose
});
if (!aborted) {
recordAiGatewayCompletion({
capability,
provider,
requestedModel,
requestBody: outboundBody,
responseText: fullText,
isStream,
statusCode: upstreamRes.status,
headers: upstreamRes.headers,
orgId,
resourceId,
siteResourceId,
requestUserId: requestUser?.userId ?? null,
budgets: appliedBudgets
});
}
return;
} catch (error) {
logger.error(error);
return res.status(HttpCode.INTERNAL_SERVER_ERROR).json({
error: { message: "Failed to proxy inference request" }
});
}
}
@@ -0,0 +1,86 @@
import { Response } from "express";
import { stripInjectedUsageFrame } from "@server/lib/aiUsageExtraction";
/**
* Reads an upstream AI provider response, writes it through to the client
* (streaming or buffered), and returns the full response text once done, so
* the caller can extract usage/cost and log the completed session. Shared by
* both the direct-upstream path (pipeline.ts) and the "custom"/target
* routing-mode path (targetRouting.ts) so usage/cost tracking and session
* logging apply identically to both instead of each maintaining its own copy
* of this loop.
*
* Callers own fetching the upstream response and the AbortController/
* `res.on("close", onClientClose)` wiring, since those differ meaningfully
* between the two transports (direct upstream fetch with TLS-skip support vs
* a plain fetch to gerbil) - only the "read the stream, write to the client,
* accumulate the full text" part is actually identical logic between them.
*/
export async function streamAiGatewayResponse(args: {
res: Response;
upstreamRes: globalThis.Response;
isStream: boolean;
// True when we injected stream_options.include_usage ourselves (the
// caller didn't ask for it) and need to strip the extra usage-only frame
// back out of what's forwarded to the client.
injectedUsageOurselves: boolean;
abortController: AbortController;
onClientClose: () => void;
}): Promise<{ fullText: string; aborted: boolean }> {
const {
res,
upstreamRes,
isStream,
injectedUsageOurselves,
abortController,
onClientClose
} = args;
const contentType = upstreamRes.headers.get("content-type") || "";
res.status(upstreamRes.status);
res.setHeader("Content-Type", contentType || "application/json");
if (isStream && upstreamRes.body) {
res.flushHeaders();
const reader = upstreamRes.body.getReader();
const decoder = new TextDecoder();
let fullText = "";
// Frame-boundary buffer, only used when we need to filter the
// usage-only frame we injected out of what reaches the client.
let sseCarry = "";
try {
while (!abortController.signal.aborted) {
const { done, value } = await reader.read();
if (done) break;
const chunkText = decoder.decode(value, { stream: true });
fullText += chunkText;
if (injectedUsageOurselves) {
sseCarry += chunkText;
const lastBoundary = sseCarry.lastIndexOf("\n\n");
if (lastBoundary !== -1) {
const toEmit = sseCarry.slice(0, lastBoundary + 2);
sseCarry = sseCarry.slice(lastBoundary + 2);
res.write(stripInjectedUsageFrame(toEmit));
}
} else {
res.write(value);
}
}
if (injectedUsageOurselves && sseCarry) {
res.write(stripInjectedUsageFrame(sseCarry));
}
} finally {
await reader.cancel().catch(() => {});
res.off("close", onClientClose);
}
if (!res.writableEnded) {
res.end();
}
return { fullText, aborted: abortController.signal.aborted };
}
res.off("close", onClientClose);
const text = await upstreamRes.text();
res.send(text);
return { fullText: text, aborted: abortController.signal.aborted };
}
+323
View File
@@ -0,0 +1,323 @@
import { Request, Response } from "express";
import { and, eq } from "drizzle-orm";
import {
AiBudget,
AiProvider,
db,
exitNodes,
sites,
targets
} from "@server/db";
import config from "@server/lib/config";
import { decrypt } from "@server/lib/crypto";
import { localCache } from "@server/lib/cache";
import {
AiProviderAuthType,
applyAiProviderAuthHeaders,
applyAiProviderCustomHeaders,
authTypeRequiresApiKey
} from "@server/lib/aiProviderDefaults";
import {
AI_CAPABILITY_DEFS,
type AiCapability
} from "@server/lib/aiCapabilities";
import {
needsStreamUsageInjection,
withStreamUsageOption
} from "@server/lib/aiUsageExtraction";
import logger from "@server/logger";
import HttpCode from "@server/types/HttpCode";
import {
applyRequestUserHeaders,
recordAiGatewayCompletion,
type RequestUser
} from "@server/routers/aiGateway/pipeline";
import { streamAiGatewayResponse } from "@server/routers/aiGateway/streamAiGatewayResponse";
// Short TTL: long enough to spare the DB on a burst of requests, short
// enough that target/site changes (added, removed, exit node moved) show up
// almost immediately without needing explicit cache invalidation.
const PROVIDER_TARGETS_TTL_SEC = 7;
// Header gerbil reads to know which scheme://host:port (reachable over the
// WireGuard network) to rewrite an incoming /router/* request to. Must
// match gerbil's `pangolinDestHeader` constant.
const PANGOLIN_DEST_HEADER = "p-dest-header";
// Header gerbil reads for the Host header value to send to the destination,
// when it should differ from PANGOLIN_DEST_HEADER (the target's configured
// ip rather than the WireGuard routing address). Must match gerbil's
// `pangolinHostHeader` constant.
const PANGOLIN_HOST_HEADER = "p-dest-host-header";
const SKIP_HEADERS = new Set([
"p-host",
"host",
"connection",
"keep-alive",
"proxy-authenticate",
"proxy-authorization",
"te",
"trailers",
"transfer-encoding",
"upgrade",
"content-length",
"accept-encoding"
]);
type ResolvedProviderTarget = {
targetId: number;
// "<scheme>://<site exitNodeSubnet host>:<internalPort>", passed to
// gerbil as the destination to proxy the request to over the WireGuard
// tunnel.
destination: string;
// The target's configured ip, passed to gerbil as the Host header to
// send to the destination (which may differ from the WireGuard routing
// address above, e.g. for vhost-based targets).
hostHeader: string;
// The target's site's exit node HTTP API base URL (gerbil's /router/*).
gerbilBaseUrl: string;
};
async function fetchProviderTargets(
providerId: number
): Promise<ResolvedProviderTarget[]> {
const rows = await db
.select({
targetId: targets.targetId,
ip: targets.ip,
internalPort: targets.internalPort,
port: targets.port,
method: targets.method,
exitNodeSubnet: sites.exitNodeSubnet,
reachableAt: exitNodes.reachableAt
})
.from(targets)
.innerJoin(sites, eq(targets.siteId, sites.siteId))
.innerJoin(exitNodes, eq(sites.exitNodeId, exitNodes.exitNodeId))
.where(
and(eq(targets.providerId, providerId), eq(targets.enabled, true))
);
const resolved: ResolvedProviderTarget[] = [];
for (const row of rows) {
// Sites not yet connected to an exit node (no subnet assigned) or
// whose exit node has no known HTTP address can't be routed to.
if (!row.exitNodeSubnet || !row.reachableAt) {
continue;
}
const host = row.exitNodeSubnet.split("/")[0];
const port = row.internalPort ?? row.port;
const scheme = row.method?.toLowerCase() ?? "https";
resolved.push({
targetId: row.targetId,
destination: `${scheme}://${host}:${port}`,
hostHeader: row.ip,
gerbilBaseUrl: row.reachableAt
});
}
return resolved;
}
async function getProviderTargets(
providerId: number
): Promise<ResolvedProviderTarget[]> {
const cacheKey = `aiGateway:providerTargets:${providerId}`;
const cached = localCache.get<ResolvedProviderTarget[]>(cacheKey);
if (cached !== undefined) {
return cached;
}
const resolved = await fetchProviderTargets(providerId);
localCache.set(cacheKey, resolved, PROVIDER_TARGETS_TTL_SEC);
return resolved;
}
// Round-robin cursor per provider. Process-local and unpersisted - fine
// since it only needs to spread load across targets, not guarantee a
// perfectly even distribution across restarts or multiple server instances.
const roundRobinCursors = new Map<number, number>();
function pickTarget(
providerId: number,
providerTargets: ResolvedProviderTarget[]
): ResolvedProviderTarget {
const cursor = roundRobinCursors.get(providerId) ?? 0;
roundRobinCursors.set(providerId, cursor + 1);
return providerTargets[cursor % providerTargets.length];
}
function pathFromRequest(req: Request): string {
// Query string is preserved - some providers use it to select the
// streaming response format (e.g. Gemini's `?alt=sse`), and gerbil's
// /router/* forwards it through untouched.
const raw = req.originalUrl || req.url || req.path;
return raw.startsWith("/") ? raw : `/${raw}`;
}
/**
* Proxies an AI gateway request to one of a "custom" / "target" routing-mode
* provider's site targets, via that site's gerbil sidecar. Gerbil's
* /router/* endpoint forwards the request (untouched body, same path minus
* the /router prefix, and all headers besides PANGOLIN_DEST_HEADER and
* PANGOLIN_HOST_HEADER) over the WireGuard tunnel to the destination named
* in PANGOLIN_DEST_HEADER, sending PANGOLIN_HOST_HEADER as the Host header.
* Always writes a response to `res`, including on failure.
*/
export async function proxyAiGatewayToSiteTarget(
req: Request,
res: Response,
provider: AiProvider,
requestUser: RequestUser | null,
capability: AiCapability,
ctx: {
orgId: string | null;
resourceId: number | null;
siteResourceId: number | null;
requestedModel: string | undefined;
budgets: AiBudget[];
}
): Promise<void> {
const providerTargets = await getProviderTargets(provider.providerId);
if (providerTargets.length === 0) {
res.status(HttpCode.INTERNAL_SERVER_ERROR).json({
error: {
message: "AI provider has no reachable site targets configured"
}
});
return;
}
const target = pickTarget(provider.providerId, providerTargets);
const gerbilUrl = `${target.gerbilBaseUrl.replace(/\/+$/, "")}/router${pathFromRequest(req)}`;
const headers: Record<string, string> = {};
for (const [key, value] of Object.entries(req.headers)) {
if (SKIP_HEADERS.has(key.toLowerCase()) || value === undefined) {
continue;
}
headers[key] = Array.isArray(value) ? value.join(", ") : value;
}
const authType = provider.authType as AiProviderAuthType;
let apiKey: string | null = null;
if (authTypeRequiresApiKey(authType)) {
if (!provider.apiKey) {
res.status(HttpCode.INTERNAL_SERVER_ERROR).json({
error: {
message: "AI provider has no API key configured"
}
});
return;
}
const secret = config.getRawConfig().server.secret!;
apiKey = decrypt(provider.apiKey, secret);
}
applyAiProviderCustomHeaders(
headers,
provider.headers,
config.getRawConfig().server.secret!
);
applyAiProviderAuthHeaders(headers, authType, apiKey);
applyRequestUserHeaders(headers, requestUser);
headers[PANGOLIN_DEST_HEADER] = target.destination;
headers[PANGOLIN_HOST_HEADER] = target.hostHeader;
// Same OpenAI stream_options.include_usage injection direct-upstream
// requests get (pipeline.ts) - needed here too now that target-routed
// requests get usage/cost tracking and session logging as well.
const injectedUsageOurselves = needsStreamUsageInjection(
capability,
req.body
);
const outboundBody = injectedUsageOurselves
? withStreamUsageOption(req.body)
: req.body;
const body = JSON.stringify(outboundBody);
logger.debug("AI gateway target-routed request", {
providerId: provider.providerId,
targetId: target.targetId,
destination: target.destination,
hostHeader: target.hostHeader,
url: gerbilUrl,
headers,
body: outboundBody
});
// Cancel the request to gerbil (which cascades to gerbil cancelling its
// proxied request to the actual site target, since gerbil's reverse
// proxy derives the outbound request's context from the inbound one) if
// the client goes away before we're done.
const abortController = new AbortController();
const onClientClose = () => {
if (!res.writableEnded) {
abortController.abort();
}
};
res.on("close", onClientClose);
let upstreamRes: globalThis.Response;
try {
upstreamRes = await fetch(gerbilUrl, {
method: "POST",
headers,
body,
signal: abortController.signal
});
} catch (fetchError) {
res.off("close", onClientClose);
if (abortController.signal.aborted) {
// Client already disconnected; nothing left to respond to.
return;
}
logger.error({
message: "AI gateway target proxy request failed",
url: gerbilUrl,
targetId: target.targetId,
error: fetchError,
cause:
fetchError instanceof Error
? (fetchError as Error & { cause?: unknown }).cause
: undefined
});
res.status(HttpCode.BAD_GATEWAY).json({
error: { message: "Failed to reach AI provider target" }
});
return;
}
const isStream = AI_CAPABILITY_DEFS[capability].isStreaming(
req,
upstreamRes.headers.get("content-type") || ""
);
const { fullText, aborted } = await streamAiGatewayResponse({
res,
upstreamRes,
isStream,
injectedUsageOurselves,
abortController,
onClientClose
});
if (!aborted) {
recordAiGatewayCompletion({
capability,
provider,
requestedModel: ctx.requestedModel,
requestBody: outboundBody,
responseText: fullText,
isStream,
statusCode: upstreamRes.status,
headers: upstreamRes.headers,
orgId: ctx.orgId,
resourceId: ctx.resourceId,
siteResourceId: ctx.siteResourceId,
requestUserId: requestUser?.userId ?? null,
budgets: ctx.budgets
});
}
}
+141
View File
@@ -0,0 +1,141 @@
import { Request, Response, NextFunction } from "express";
import { z } from "zod";
import { aiModels, aiProviders, db } from "@server/db";
import response from "@server/lib/response";
import HttpCode from "@server/types/HttpCode";
import createHttpError from "http-errors";
import logger from "@server/logger";
import { fromError } from "zod-validation-error";
import { OpenAPITags, registry } from "@server/openApi";
import { and, eq } from "drizzle-orm";
import type { CreateOrEditAiModelResponse } from "@server/routers/aiProvider/types";
import { modelListTypeSchema } from "@server/lib/aiInferenceResource";
const paramsSchema = z.strictObject({
providerId: z.coerce.number().int().positive()
});
const bodySchema = z.strictObject({
modelKey: z.string().nonempty(),
name: z.string().nonempty(),
enabled: z.boolean().optional(),
listType: modelListTypeSchema.optional().default("allow")
});
registry.registerPath({
method: "put",
path: "/ai-provider/{providerId}/model",
description: "Create an AI model under a provider.",
tags: [OpenAPITags.AiModel],
request: {
params: paramsSchema,
body: {
content: {
"application/json": {
schema: bodySchema
}
}
}
},
responses: {
201: {
description: "Successful response"
}
}
});
export async function createAiModel(
req: Request,
res: Response,
next: NextFunction
): Promise<any> {
try {
const parsedParams = paramsSchema.safeParse(req.params);
if (!parsedParams.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedParams.error).toString()
)
);
}
const parsedBody = bodySchema.safeParse(req.body);
if (!parsedBody.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedBody.error).toString()
)
);
}
const { providerId } = parsedParams.data;
const { modelKey, name, enabled, listType } = parsedBody.data;
const [provider] =
req.aiProvider && req.aiProvider.providerId === providerId
? [req.aiProvider]
: await db
.select()
.from(aiProviders)
.where(eq(aiProviders.providerId, providerId))
.limit(1);
if (!provider) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`AI provider with ID ${providerId} not found`
)
);
}
const [existing] = await db
.select({ modelId: aiModels.modelId })
.from(aiModels)
.where(
and(
eq(aiModels.providerId, providerId),
eq(aiModels.modelKey, modelKey)
)
)
.limit(1);
if (existing) {
return next(
createHttpError(
HttpCode.CONFLICT,
`Model with key ${modelKey} already exists for this provider`
)
);
}
const now = Date.now();
const [model] = await db
.insert(aiModels)
.values({
providerId,
modelKey,
name,
listType,
enabled: enabled ?? true,
createdAt: now,
updatedAt: now
})
.returning();
return response<CreateOrEditAiModelResponse>(res, {
data: { model },
success: true,
error: false,
message: "AI model created successfully",
status: HttpCode.CREATED
});
} catch (error) {
logger.error(error);
return next(
createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred")
);
}
}
@@ -0,0 +1,171 @@
import { Request, Response, NextFunction } from "express";
import { z } from "zod";
import { aiProviders, db } from "@server/db";
import response from "@server/lib/response";
import HttpCode from "@server/types/HttpCode";
import createHttpError from "http-errors";
import logger from "@server/logger";
import { fromError } from "zod-validation-error";
import { OpenAPITags, registry } from "@server/openApi";
import { encrypt } from "@server/lib/crypto";
import config from "@server/lib/config";
import {
resolveAiProviderCreateFields,
resolveCapabilitiesForCreate,
serializeAiProviderHeaders
} from "@server/lib/aiProviderDefaults";
import type { CreateOrEditAiProviderResponse } from "@server/routers/aiProvider/types";
import { toPublicAiProvider } from "@server/routers/aiProvider/types";
import {
aiAuthTypeSchema,
aiCapabilitiesSchema,
aiProviderHeadersSchema,
aiProviderTypeSchema,
aiRoutingModeSchema,
refineProviderUpstreamFields
} from "@server/routers/aiProvider/validation";
import { serializeCapabilities } from "@server/lib/aiCapabilities";
const paramsSchema = z.strictObject({
orgId: z.string().nonempty()
});
const bodySchema = z
.strictObject({
name: z.string().nonempty(),
type: aiProviderTypeSchema,
upstreamUrl: z.url().optional().nullable(),
apiKey: z.string().optional(),
authType: aiAuthTypeSchema.optional(),
routingMode: aiRoutingModeSchema.optional(),
capabilities: aiCapabilitiesSchema.optional(),
headers: aiProviderHeadersSchema,
skipTlsVerification: z.boolean().optional(),
enabled: z.boolean().optional()
})
.superRefine((data, ctx) => {
refineProviderUpstreamFields(data, ctx);
});
registry.registerPath({
method: "put",
path: "/org/{orgId}/ai-provider",
description: "Create an AI provider for an organization.",
tags: [OpenAPITags.AiProvider],
request: {
params: paramsSchema,
body: {
content: {
"application/json": {
schema: bodySchema
}
}
}
},
responses: {
201: {
description: "Successful response"
}
}
});
export async function createAiProvider(
req: Request,
res: Response,
next: NextFunction
): Promise<any> {
try {
const parsedParams = paramsSchema.safeParse(req.params);
if (!parsedParams.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedParams.error).toString()
)
);
}
const parsedBody = bodySchema.safeParse(req.body);
if (!parsedBody.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedBody.error).toString()
)
);
}
const { orgId } = parsedParams.data;
const {
name,
type,
upstreamUrl,
apiKey,
authType,
routingMode,
capabilities,
headers,
skipTlsVerification,
enabled
} = parsedBody.data;
const key = config.getRawConfig().server.secret!;
const encryptedApiKey = apiKey ? encrypt(apiKey, key) : null;
const apiKeyLastChars = apiKey ? apiKey.slice(-4) : null;
const now = Date.now();
const resolved = resolveAiProviderCreateFields({
type,
upstreamUrl,
authType,
routingMode
});
const resolvedCapabilities = resolveCapabilitiesForCreate({
type,
capabilities
});
if (resolvedCapabilities.length === 0) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
"At least one capability is required"
)
);
}
const [provider] = await db
.insert(aiProviders)
.values({
orgId,
name,
type,
upstreamUrl: resolved.upstreamUrl,
apiKey: encryptedApiKey,
apiKeyLastChars,
authType: resolved.authType,
routingMode: resolved.routingMode,
capabilities: serializeCapabilities(resolvedCapabilities),
headers: serializeAiProviderHeaders(headers, key),
skipTlsVerification: skipTlsVerification ?? false,
enabled: enabled ?? true,
createdAt: now,
updatedAt: now
})
.returning();
return response<CreateOrEditAiProviderResponse>(res, {
data: {
provider: toPublicAiProvider(provider, { includeApiKey: true })
},
success: true,
error: false,
message: "AI provider created successfully",
status: HttpCode.CREATED
});
} catch (error) {
logger.error(error);
return next(
createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred")
);
}
}
@@ -0,0 +1,79 @@
import { Request, Response, NextFunction } from "express";
import { z } from "zod";
import { aiModels, db } from "@server/db";
import response from "@server/lib/response";
import HttpCode from "@server/types/HttpCode";
import createHttpError from "http-errors";
import logger from "@server/logger";
import { fromError } from "zod-validation-error";
import { OpenAPITags, registry } from "@server/openApi";
import { eq } from "drizzle-orm";
const paramsSchema = z.strictObject({
modelId: z.coerce.number().int().positive()
});
registry.registerPath({
method: "delete",
path: "/ai-model/{modelId}",
description: "Delete an AI model.",
tags: [OpenAPITags.AiModel],
request: {
params: paramsSchema
},
responses: {
200: {
description: "Successful response"
}
}
});
export async function deleteAiModel(
req: Request,
res: Response,
next: NextFunction
): Promise<any> {
try {
const parsedParams = paramsSchema.safeParse(req.params);
if (!parsedParams.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedParams.error).toString()
)
);
}
const { modelId } = parsedParams.data;
const [existing] = await db
.select({ modelId: aiModels.modelId })
.from(aiModels)
.where(eq(aiModels.modelId, modelId))
.limit(1);
if (!existing) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`AI model with ID ${modelId} not found`
)
);
}
await db.delete(aiModels).where(eq(aiModels.modelId, modelId));
return response(res, {
data: null,
success: true,
error: false,
message: "AI model deleted successfully",
status: HttpCode.OK
});
} catch (error) {
logger.error(error);
return next(
createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred")
);
}
}
@@ -0,0 +1,81 @@
import { Request, Response, NextFunction } from "express";
import { z } from "zod";
import { aiProviders, db } from "@server/db";
import response from "@server/lib/response";
import HttpCode from "@server/types/HttpCode";
import createHttpError from "http-errors";
import logger from "@server/logger";
import { fromError } from "zod-validation-error";
import { OpenAPITags, registry } from "@server/openApi";
import { eq } from "drizzle-orm";
const paramsSchema = z.strictObject({
providerId: z.coerce.number().int().positive()
});
registry.registerPath({
method: "delete",
path: "/ai-provider/{providerId}",
description: "Delete an AI provider.",
tags: [OpenAPITags.AiProvider],
request: {
params: paramsSchema
},
responses: {
200: {
description: "Successful response"
}
}
});
export async function deleteAiProvider(
req: Request,
res: Response,
next: NextFunction
): Promise<any> {
try {
const parsedParams = paramsSchema.safeParse(req.params);
if (!parsedParams.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedParams.error).toString()
)
);
}
const { providerId } = parsedParams.data;
const [existing] = await db
.select({ providerId: aiProviders.providerId })
.from(aiProviders)
.where(eq(aiProviders.providerId, providerId))
.limit(1);
if (!existing) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`AI provider with ID ${providerId} not found`
)
);
}
await db
.delete(aiProviders)
.where(eq(aiProviders.providerId, providerId));
return response(res, {
data: null,
success: true,
error: false,
message: "AI provider deleted successfully",
status: HttpCode.OK
});
} catch (error) {
logger.error(error);
return next(
createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred")
);
}
}
+81
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import { Request, Response, NextFunction } from "express";
import { z } from "zod";
import { aiModels, db } from "@server/db";
import response from "@server/lib/response";
import HttpCode from "@server/types/HttpCode";
import createHttpError from "http-errors";
import logger from "@server/logger";
import { fromError } from "zod-validation-error";
import { OpenAPITags, registry } from "@server/openApi";
import { eq } from "drizzle-orm";
import type { GetAiModelResponse } from "@server/routers/aiProvider/types";
const paramsSchema = z.strictObject({
modelId: z.coerce.number().int().positive()
});
registry.registerPath({
method: "get",
path: "/ai-model/{modelId}",
description: "Get an AI model by ID.",
tags: [OpenAPITags.AiModel],
request: {
params: paramsSchema
},
responses: {
200: {
description: "Successful response"
}
}
});
export async function getAiModel(
req: Request,
res: Response,
next: NextFunction
): Promise<any> {
try {
const parsedParams = paramsSchema.safeParse(req.params);
if (!parsedParams.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedParams.error).toString()
)
);
}
const { modelId } = parsedParams.data;
const [model] =
req.aiModel && req.aiModel.modelId === modelId
? [req.aiModel]
: await db
.select()
.from(aiModels)
.where(eq(aiModels.modelId, modelId))
.limit(1);
if (!model) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`AI model with ID ${modelId} not found`
)
);
}
return response<GetAiModelResponse>(res, {
data: { model },
success: true,
error: false,
message: "AI model retrieved successfully",
status: HttpCode.OK
});
} catch (error) {
logger.error(error);
return next(
createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred")
);
}
}
@@ -0,0 +1,84 @@
import { Request, Response, NextFunction } from "express";
import { z } from "zod";
import { aiProviders, db } from "@server/db";
import response from "@server/lib/response";
import HttpCode from "@server/types/HttpCode";
import createHttpError from "http-errors";
import logger from "@server/logger";
import { fromError } from "zod-validation-error";
import { OpenAPITags, registry } from "@server/openApi";
import { eq } from "drizzle-orm";
import type { GetAiProviderResponse } from "@server/routers/aiProvider/types";
import { toPublicAiProvider } from "@server/routers/aiProvider/types";
const paramsSchema = z.strictObject({
providerId: z.coerce.number().int().positive()
});
registry.registerPath({
method: "get",
path: "/ai-provider/{providerId}",
description: "Get an AI provider by ID.",
tags: [OpenAPITags.AiProvider],
request: {
params: paramsSchema
},
responses: {
200: {
description: "Successful response"
}
}
});
export async function getAiProvider(
req: Request,
res: Response,
next: NextFunction
): Promise<any> {
try {
const parsedParams = paramsSchema.safeParse(req.params);
if (!parsedParams.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedParams.error).toString()
)
);
}
const { providerId } = parsedParams.data;
const [provider] =
req.aiProvider && req.aiProvider.providerId === providerId
? [req.aiProvider]
: await db
.select()
.from(aiProviders)
.where(eq(aiProviders.providerId, providerId))
.limit(1);
if (!provider) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`AI provider with ID ${providerId} not found`
)
);
}
return response<GetAiProviderResponse>(res, {
data: {
provider: toPublicAiProvider(provider, { includeApiKey: true })
},
success: true,
error: false,
message: "AI provider retrieved successfully",
status: HttpCode.OK
});
} catch (error) {
logger.error(error);
return next(
createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred")
);
}
}
+12
View File
@@ -0,0 +1,12 @@
export * from "./createAiProvider";
export * from "./listAiProviders";
export * from "./getAiProvider";
export * from "./updateAiProvider";
export * from "./deleteAiProvider";
export * from "./createAiModel";
export * from "./listAiModels";
export * from "./listCatalogModels";
export * from "./getAiModel";
export * from "./updateAiModel";
export * from "./deleteAiModel";
export * from "./types";
+160
View File
@@ -0,0 +1,160 @@
import { Request, Response, NextFunction } from "express";
import { z } from "zod";
import { aiModels, aiProviders, db } from "@server/db";
import response from "@server/lib/response";
import HttpCode from "@server/types/HttpCode";
import createHttpError from "http-errors";
import logger from "@server/logger";
import { fromError } from "zod-validation-error";
import { OpenAPITags, registry } from "@server/openApi";
import { and, asc, eq, like, sql } from "drizzle-orm";
import type { ListAiModelsResponse } from "@server/routers/aiProvider/types";
const paramsSchema = z.strictObject({
providerId: z.coerce.number().int().positive()
});
const listSchema = z.object({
pageSize: z.coerce
.number<string>()
.int()
.positive()
.optional()
.catch(20)
.default(20)
.openapi({
type: "integer",
default: 20,
description: "Number of items per page"
}),
page: z.coerce
.number<string>()
.int()
.min(0)
.optional()
.catch(1)
.default(1)
.openapi({
type: "integer",
default: 1,
description: "Page number to retrieve"
}),
query: z.string().optional()
});
registry.registerPath({
method: "get",
path: "/ai-provider/{providerId}/models",
description: "List AI models for a provider.",
tags: [OpenAPITags.AiModel],
request: {
params: paramsSchema,
query: listSchema
},
responses: {
200: {
description: "Successful response"
}
}
});
export async function listAiModels(
req: Request,
res: Response,
next: NextFunction
): Promise<any> {
try {
const parsedQuery = listSchema.safeParse(req.query);
if (!parsedQuery.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedQuery.error).toString()
)
);
}
const parsedParams = paramsSchema.safeParse(req.params);
if (!parsedParams.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedParams.error).toString()
)
);
}
const { providerId } = parsedParams.data;
const [provider] =
req.aiProvider && req.aiProvider.providerId === providerId
? [req.aiProvider]
: await db
.select({ providerId: aiProviders.providerId })
.from(aiProviders)
.where(eq(aiProviders.providerId, providerId))
.limit(1);
if (!provider) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`AI provider with ID ${providerId} not found`
)
);
}
const { pageSize, page, query } = parsedQuery.data;
const conditions = [eq(aiModels.providerId, providerId)];
if (query) {
conditions.push(
like(
sql`LOWER(${aiModels.name})`,
"%" + query.toLowerCase() + "%"
)
);
}
const baseQuery = db
.select()
.from(aiModels)
.where(and(...conditions));
const countQuery = db.$count(
db
.select()
.from(aiModels)
.where(and(...conditions))
.as("filtered_ai_models")
);
const [totalCount, rows] = await Promise.all([
countQuery,
baseQuery
.limit(pageSize)
.offset(pageSize * (page - 1))
.orderBy(asc(aiModels.name))
]);
return response<ListAiModelsResponse>(res, {
data: {
models: rows,
pagination: {
total: totalCount,
pageSize,
page
}
},
success: true,
error: false,
message: "AI models retrieved successfully",
status: HttpCode.OK
});
} catch (error) {
logger.error(error);
return next(
createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred")
);
}
}
@@ -0,0 +1,152 @@
import { Request, Response, NextFunction } from "express";
import { z } from "zod";
import { aiProviders, db } from "@server/db";
import response from "@server/lib/response";
import HttpCode from "@server/types/HttpCode";
import createHttpError from "http-errors";
import logger from "@server/logger";
import { fromError } from "zod-validation-error";
import { OpenAPITags, registry } from "@server/openApi";
import { and, asc, eq, like, sql } from "drizzle-orm";
import type { ListAiProvidersResponse } from "@server/routers/aiProvider/types";
import { toPublicAiProvider } from "@server/routers/aiProvider/types";
const paramsSchema = z.strictObject({
orgId: z.string().nonempty()
});
const listSchema = z.object({
pageSize: z.coerce
.number<string>()
.int()
.positive()
.optional()
.catch(20)
.default(20)
.openapi({
type: "integer",
default: 20,
description: "Number of items per page"
}),
page: z.coerce
.number<string>()
.int()
.min(0)
.optional()
.catch(1)
.default(1)
.openapi({
type: "integer",
default: 1,
description: "Page number to retrieve"
}),
query: z.string().optional()
});
registry.registerPath({
method: "get",
path: "/org/{orgId}/ai-providers",
description: "List AI providers for an organization.",
tags: [OpenAPITags.AiProvider],
request: {
params: paramsSchema,
query: listSchema
},
responses: {
200: {
description: "Successful response"
}
}
});
export async function listAiProviders(
req: Request,
res: Response,
next: NextFunction
): Promise<any> {
try {
const parsedQuery = listSchema.safeParse(req.query);
if (!parsedQuery.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedQuery.error).toString()
)
);
}
const parsedParams = paramsSchema.safeParse(req.params);
if (!parsedParams.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedParams.error).toString()
)
);
}
const { orgId } = parsedParams.data;
if (req.user && orgId && orgId !== req.userOrgId) {
return next(
createHttpError(
HttpCode.FORBIDDEN,
"User does not have access to this organization"
)
);
}
const { pageSize, page, query } = parsedQuery.data;
const conditions = [eq(aiProviders.orgId, orgId)];
if (query) {
conditions.push(
like(
sql`LOWER(${aiProviders.name})`,
"%" + query.toLowerCase() + "%"
)
);
}
const baseQuery = db
.select()
.from(aiProviders)
.where(and(...conditions));
const countQuery = db.$count(
db
.select()
.from(aiProviders)
.where(and(...conditions))
.as("filtered_ai_providers")
);
const [totalCount, rows] = await Promise.all([
countQuery,
baseQuery
.limit(pageSize)
.offset(pageSize * (page - 1))
.orderBy(asc(aiProviders.name))
]);
return response<ListAiProvidersResponse>(res, {
data: {
providers: rows.map((row) => toPublicAiProvider(row)),
pagination: {
total: totalCount,
pageSize,
page
}
},
success: true,
error: false,
message: "AI providers retrieved successfully",
status: HttpCode.OK
});
} catch (error) {
logger.error(error);
return next(
createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred")
);
}
}
@@ -0,0 +1,131 @@
import { Request, Response, NextFunction } from "express";
import { z } from "zod";
import { aiProviders, db } from "@server/db";
import response from "@server/lib/response";
import HttpCode from "@server/types/HttpCode";
import createHttpError from "http-errors";
import logger from "@server/logger";
import { fromError } from "zod-validation-error";
import { OpenAPITags, registry } from "@server/openApi";
import { eq } from "drizzle-orm";
import {
aiModelCatalog,
getCatalogProviderForType
} from "@server/lib/aiModelCatalog";
import type { AiProviderType } from "@server/lib/aiProviderDefaults";
import type { ListCatalogModelsResponse } from "@server/routers/aiProvider/types";
const paramsSchema = z.strictObject({
providerId: z.coerce.number().int().positive()
});
const listSchema = z.object({
query: z.string().optional()
});
registry.registerPath({
method: "get",
path: "/ai-provider/{providerId}/catalog-models",
description:
"List known catalog models for an AI provider's type. Used for model key suggestions.",
tags: [OpenAPITags.AiModel],
request: {
params: paramsSchema,
query: listSchema
},
responses: {
200: {
description: "Successful response"
}
}
});
export async function listCatalogModels(
req: Request,
res: Response,
next: NextFunction
): Promise<any> {
try {
const parsedQuery = listSchema.safeParse(req.query);
if (!parsedQuery.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedQuery.error).toString()
)
);
}
const parsedParams = paramsSchema.safeParse(req.params);
if (!parsedParams.success) {
return next(
createHttpError(
HttpCode.BAD_REQUEST,
fromError(parsedParams.error).toString()
)
);
}
const { providerId } = parsedParams.data;
const [provider] =
req.aiProvider && req.aiProvider.providerId === providerId
? [req.aiProvider]
: await db
.select()
.from(aiProviders)
.where(eq(aiProviders.providerId, providerId))
.limit(1);
if (!provider) {
return next(
createHttpError(
HttpCode.NOT_FOUND,
`AI provider with ID ${providerId} not found`
)
);
}
const catalogProvider = getCatalogProviderForType(
provider.type as AiProviderType
);
let models = catalogProvider
? aiModelCatalog.list(catalogProvider).map((entry) => ({
model: entry.model
}))
: [];
const { query } = parsedQuery.data;
if (query) {
const q = query.toLowerCase();
models = models.filter((m) => m.model.toLowerCase().includes(q));
}
// Deduplicate model keys (catalog may have duplicates after provider
// normalization, e.g. bedrock + bedrock_converse).
const seen = new Set<string>();
models = models.filter((m) => {
if (seen.has(m.model)) {
return false;
}
seen.add(m.model);
return true;
});
models.sort((a, b) => a.model.localeCompare(b.model));
return response<ListCatalogModelsResponse>(res, {
data: { models },
success: true,
error: false,
message: "Catalog models retrieved successfully",
status: HttpCode.OK
});
} catch (error) {
logger.error(error);
return next(
createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred")
);
}
}

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