phoenix-oss/llama-stack-mirror
0
0
Fork 1
mirror of https://github.com/meta-llama/llama-stack.git synced 2025-06-28 10:54:19 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

feat: File search tool for Responses API

Browse source 
This is an initial working prototype of wiring up the `file_search` builtin
tool for the Responses API to our existing rag knowledge search tool.

I stubbed in a new test (that uses a hardcoded url hybrid of the OpenAI
and Llama Stack clients for now, only until we finish landing the vector
store APIs and insertion support).

Note that this is currently under tests/verification only because it
sometimes flakes with tool calling of the small Llama-3.2-3B model we run
in CI (and that I use as an example below). We'd want to make the test a
bit more robust in some way if we moved this over to tests/integration and
ran it in CI.

```
ollama run llama3.2:3b

INFERENCE_MODEL="meta-llama/Llama-3.2-3B-Instruct" \
llama stack run ./llama_stack/templates/ollama/run.yaml \
  --image-type venv \
  --env OLLAMA_URL="http://0.0.0.0:11434"

pytest -sv 'tests/verifications/openai_api/test_responses.py::test_response_non_streaming_file_search' \
  --base-url=http://localhost:8321/v1/openai/v1 \
  --model meta-llama/Llama-3.2-3B-Instruct
```

Signed-off-by: Ben Browning <bbrownin@redhat.com>
This commit is contained in:
Ben Browning 2025-06-10 12:42:09 -04:00
parent e2e15ebb6c
commit fa34468308
7 changed files with 234 additions and 11 deletions
Download patch file Download diff file Expand all files Collapse all files

15
llama_stack/apis/agents/openai_responses.py
View file

@ -81,6 +81,15 @@ class OpenAIResponseOutputMessageWebSearchToolCall(BaseModel):
type: Literal["web_search_call"] = "web_search_call"
@json_schema_type
class OpenAIResponseOutputMessageFileSearchToolCall(BaseModel):
id: str
queries: list[str]
status: str
type: Literal["file_search_call"] = "file_search_call"
results: list[dict[str, Any]] | None = None
@json_schema_type
class OpenAIResponseOutputMessageFunctionToolCall(BaseModel):
call_id: str
@ -119,6 +128,7 @@ class OpenAIResponseOutputMessageMCPListTools(BaseModel):
OpenAIResponseOutput = Annotated[
OpenAIResponseMessage
| OpenAIResponseOutputMessageWebSearchToolCall
| OpenAIResponseOutputMessageFileSearchToolCall
| OpenAIResponseOutputMessageFunctionToolCall
| OpenAIResponseOutputMessageMCPCall
| OpenAIResponseOutputMessageMCPListTools,
@ -362,6 +372,7 @@ class OpenAIResponseInputFunctionToolCallOutput(BaseModel):
OpenAIResponseInput = Annotated[
# Responses API allows output messages to be passed in as input
OpenAIResponseOutputMessageWebSearchToolCall
| OpenAIResponseOutputMessageFileSearchToolCall
| OpenAIResponseOutputMessageFunctionToolCall
| OpenAIResponseInputFunctionToolCallOutput
|
@ -397,9 +408,9 @@ class FileSearchRankingOptions(BaseModel):
@json_schema_type
class OpenAIResponseInputToolFileSearch(BaseModel):
type: Literal["file_search"] = "file_search"
vector_store_id: list[str]
vector_store_ids: list[str]
ranking_options: FileSearchRankingOptions | None = None
# TODO: add filters
# TODO: add filters, max_num_results
class ApprovalFilter(BaseModel):