Files
pangolin/server/lib/aiCapabilities.ts
T
2026-08-05 16:55:48 -04:00

258 lines
7.9 KiB
TypeScript

import type { Request } from "express";
import type { AiProviderType } from "@server/lib/aiProviderDefaults";
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;
};
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;
}
/**
* Join base URL with a path, avoiding double slashes and a duplicated trailing
* /v1 when the inbound path already starts with /v1 and the base ends with /v1.
*/
export function joinUpstreamUrl(baseUrl: string, path: string): string {
const base = baseUrl.replace(/\/+$/, "");
let suffix = path.startsWith("/") ? path : `/${path}`;
if (
base.endsWith("/v1") &&
(suffix === "/v1" || suffix.startsWith("/v1/"))
) {
suffix = suffix.slice("/v1".length) || "/";
}
if (suffix === "/") {
return base;
}
return `${base}${suffix}`;
}
function pathFromRequest(req: Request): string {
// Prefer originalUrl path (includes mounted path) over req.path when available.
const raw =
req.originalUrl?.split("?")[0] || req.url?.split("?")[0] || req.path;
return raw.startsWith("/") ? raw : `/${raw}`;
}
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))
},
openai_responses: {
id: "openai_responses",
routes: [{ method: "POST", path: "/v1/responses" }],
extractModel: bodyModel,
resolveUpstreamUrl: (base, req) =>
joinUpstreamUrl(base, pathFromRequest(req))
},
anthropic_messages: {
id: "anthropic_messages",
routes: [{ method: "POST", path: "/v1/messages" }],
extractModel: bodyModel,
resolveUpstreamUrl: (base, req) =>
joinUpstreamUrl(base, pathFromRequest(req))
},
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))
},
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))
},
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))
},
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))
},
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))
}
};
export const AI_PROVIDER_CAPABILITY_DEFAULTS: Record<
Exclude<AiProviderType, "custom">,
readonly AiCapability[]
> = {
openai: ["openai_chat"],
anthropic: ["anthropic_messages"],
googleGemini: ["openai_chat"],
vertexAi: ["google_generate_content"],
bedrock: ["bedrock_converse"],
microsoftFoundry: ["openai_chat"],
openRouter: ["openai_chat"],
vercelAiGateway: ["openai_chat"]
};
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);
}
export function resolveCapabilitiesForCreate(input: {
type: AiProviderType;
capabilities?: AiCapability[] | null;
}): AiCapability[] {
if (input.type === "custom") {
return parseCapabilities(input.capabilities ?? []);
}
return [...AI_PROVIDER_CAPABILITY_DEFAULTS[input.type]];
}
export function defaultsForProviderType(
type: AiProviderType
): readonly AiCapability[] {
if (type === "custom") {
return [];
}
return AI_PROVIDER_CAPABILITY_DEFAULTS[type];
}