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chore(tests): fix responses and vector_io tests (#3119)

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Some fixes to MCP tests. And a bunch of fixes for Vector providers.

I also enabled a bunch of Vector IO tests to be used with
`LlamaStackLibraryClient`

## Test Plan

Run Responses tests with llama stack library client:
```
pytest -s -v tests/integration/non_ci/responses/ --stack-config=server:starter \
   --text-model openai/gpt-4o \
  --embedding-model=sentence-transformers/all-MiniLM-L6-v2 \
  -k "client_with_models"
```

Do the same with `-k openai_client`

The rest should be taken care of by CI.
This commit is contained in:
Ashwin Bharambe 2025-08-12 16:15:53 -07:00 • committed by GitHub
parent 1721aafc1f
commit 3d90117891
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25 changed files with 175 additions and 112 deletions
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3
llama_stack/providers/remote/inference/fireworks/fireworks.py
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@ -235,6 +235,7 @@ class FireworksInferenceAdapter(ModelRegistryHelper, Inference, NeedsRequestProv
llama_model = self.get_llama_model(request.model)
if isinstance(request, ChatCompletionRequest):
# TODO: tools are never added to the request, so we need to add them here
if media_present or not llama_model:
input_dict["messages"] = [
await convert_message_to_openai_dict(m, download=True) for m in request.messages
@ -378,6 +379,7 @@ class FireworksInferenceAdapter(ModelRegistryHelper, Inference, NeedsRequestProv
# Fireworks chat completions OpenAI-compatible API does not support
# tool calls properly.
llama_model = self.get_llama_model(model_obj.provider_resource_id)
if llama_model:
return await OpenAIChatCompletionToLlamaStackMixin.openai_chat_completion(
self,
@ -431,4 +433,5 @@ class FireworksInferenceAdapter(ModelRegistryHelper, Inference, NeedsRequestProv
user=user,
)
logger.debug(f"fireworks params: {params}")
return await self._get_openai_client().chat.completions.create(model=model_obj.provider_resource_id, **params)