Feature request: provider-native model listing, required-header validation, and non-chat endpoints (Anthropic / Gemini)
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@jpr5 ya está trabajando en esto.
Desde el 12/10/2026.
Evaluación
- Dificultad
- 5/5
- Tiempo estimado
- Más de una semana
- Aptitud para principiantes
- 14/100
- Tipo de issue
- Nueva funcionalidad
- Claridad
- Bastante claro
- Estado de actividad
- Activo
- Stack tecnológico
- bun, typescript
- Área
- api, testing-qa
Línea de trabajo
The payload names no source files, so start by locating how the existing GET /v1/models route and strict mode are handled in the aimock repository. The request bundles four separate features (provider-native model listings, required-header checks, extra endpoints, and cache usage fields), so the first step is to agree with maintainers on which part to take. Done means one scoped part works under strict mode with a test that fails without the change.
Escrito por el modelo de indexación a partir del texto del issue.
Descripción
Context
We use aimock (1.44.0, strict mode, in a Bun test suite) to test an app that talks to user-configured providers in four formats: OpenAI Chat Completions, OpenAI Responses, Anthropic Messages and Gemini. Generation goes through the Vercel AI SDK and aimock covers it well. The gaps we hit are the calls around generation, which our app makes with plain fetch.
A concrete miss: our model-discovery call to an Anthropic endpoint sent x-api-key but no anthropic-version. The real API answers that with
{"type":"error","error":{"type":"invalid_request_error","message":"anthropic-version: header is required"}}
(HTTP 400), but our aimock-backed tests passed, so we only found it with a real key.
What we would like
-
Provider-native model listing. Today
GET /v1/modelsreturns one OpenAI-shaped list ({object: "list", data: [{id, object: "model", owned_by}]}) to every client, and there is noGET /v1beta/models. It would help to have:- Anthropic
GET /v1/modelsin its own shape (data[{type: "model", id, display_name, created_at}],has_more,first_id,last_id), withlimit/after_idpaging, selected e.g. by the presence ofanthropic-versionorx-api-key. - Gemini
GET /v1beta/models(models[{name: "models/…", displayName, inputTokenLimit, outputTokenLimit, supportedGenerationMethods}],nextPageToken). - Paging that can be forced from fixtures or options (e.g. a small page size), so clients that ignore
has_more/nextPageTokenfail in tests.
- Anthropic
-
Required-header validation under strict mode. On Anthropic routes (
/v1/messages,/v1/models), reject a request withoutanthropic-versionwith the real 400 body above. More generally, strict mode could enforce each provider's documented required headers, since that is exactly the class of rule an SDK-based happy path never exercises. -
Other non-generation endpoints, so they can be tested next to chat:
- Anthropic
GET /v1/models/{model_id}andPOST /v1/messages/count_tokens. - Gemini
GET /v1beta/models/{model}andPOST /v1beta/models/{model}:countTokens.
- Anthropic
-
Anthropic prompt-cache usage in fixtures. As far as we can tell, an Anthropic fixture cannot return
cache_creation_input_tokens,cache_read_input_tokensor thecache_creation.ephemeral_5m_input_tokens/ephemeral_1h_input_tokensbreakdown. Being able to set these (or having replay serve recorded values) would let us test cost and context accounting for cached prompts without a live key.
Happy to provide more detail or test a pre-release. Thanks for aimock.
- Lenguaje dominante
- TypeScript
- Estrellas
- 979
- Forks
- 84
- Merge medio
- 1 d 5 h
- PR fusionados (30 d)
- 58
Preparar el entorno
- Incluye un Dockerfile o un archivo de Docker Compose
- Sin plantilla de pull request
- Sin guía de contribución
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
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