pangolin/docs/ai-gateway-provider-selection.md

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)
• Model discovery: server/routers/aiGateway/anthropicModels.ts and server/lib/aiModelDiscovery.ts
• 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
GET /v1/models, GET /v1/models/{id}	anthropic_models
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, anthropic_models
openRouter	openai_chat
vercelAiGateway	openai_chat, openai_responses
microsoftFoundry	openai_chat, openai_responses, anthropic_messages, anthropic_models
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.

Model Discovery Is Not Selection

GET /v1/models and GET /v1/models/{id} (anthropic_models) skip steps 3-6 entirely. There is no requested model to disambiguate on, so the gateway does not pick one provider - it returns the union of what every attached provider advertising anthropic_models would accept, deduplicated by model id (lowest providerId wins a collision).

Discovery is answered from the gateway's own view of the allow/block lists, never proxied upstream. Providers that expose no /v1/models endpoint of their own still get a working listing, and a model an allow/block list forbids is never advertised.

Each provider's candidate ids come from two places:

Source	Contributes
Exact (non-wildcard) allow entries	the model key itself
The model catalog for the provider's type	every catalog id matching an allow pattern

Both sources are then filtered through the same isAllowedByLists(id, allows, blocks) check step 2 applies, so a block pattern hides a model from discovery exactly as it would reject it at request time.

The catalog source is what makes a wildcard allow such as claude-* enumerable. Provider types with no catalog mapping (openRouter, vercelAiGateway, custom) have nothing to expand against, so a wildcard allow on those types lists nothing - add exact allow entries to make their models discoverable.

Fields the API declares nullable and an allow/block list cannot supply (max_input_tokens, max_tokens, capabilities) are returned as null. display_name and created_at come from the configured model row when the id matches one; otherwise the id doubles as the display name and created_at is the epoch, which the Models API permits when the release date is unknown. Results are ordered newest-first with the id as tie-break, and paginated with Anthropic's limit / after_id / before_id semantics (default 20, max 1000).

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"

1–5 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.