diff --git a/docs/docs/providers/img/parallel-tool-calls-false.png b/docs/docs/providers/img/parallel-tool-calls-false.png new file mode 100644 index 0000000000..77dc4b76e9 Binary files /dev/null and b/docs/docs/providers/img/parallel-tool-calls-false.png differ diff --git a/docs/docs/providers/img/parallel-tool-calls-true.png b/docs/docs/providers/img/parallel-tool-calls-true.png new file mode 100644 index 0000000000..c45ba74bc4 Binary files /dev/null and b/docs/docs/providers/img/parallel-tool-calls-true.png differ diff --git a/docs/docs/providers/openai_responses_limitations.mdx b/docs/docs/providers/openai_responses_limitations.mdx index 6aaf07b8b4..347cc103ee 100644 --- a/docs/docs/providers/openai_responses_limitations.mdx +++ b/docs/docs/providers/openai_responses_limitations.mdx @@ -262,14 +262,6 @@ OpenAI provides a [prompt caching](https://platform.openai.com/docs/guides/promp --- -### Parallel Tool Calls - -**Status:** Rumored Issue - -There are reports that `parallel_tool_calls` may not work correctly. This needs verification and a ticket should be opened if confirmed. - ---- - ## Resolved Issues The following limitations have been addressed in recent releases: @@ -297,3 +289,19 @@ The `require_approval` parameter for MCP tools in the Responses API now works co **Fixed in:** [#3003](https://github.com/llamastack/llama-stack/pull/3003) (Agent API), [#3602](https://github.com/llamastack/llama-stack/pull/3602) (Responses API) MCP tools now correctly handle array-type arguments in both the Agent API and Responses API. + +--- + +### Parallel tool calls + +**Status:** ✅ Resolved + +The [`parallel_tool_calls` parameter](https://platform.openai.com/docs/api-reference/responses/create#responses_create-parallel_tool_calls) controls turn-based function calling workflows, _not_ parallelism or concurrency. See the [related function calling documentation](https://platform.openai.com/docs/guides/function-calling#parallel-function-calling). + +If `parallel_tool_calls=false`, the intended behavior is that multiple generated functional calls will be executed once per turn until done; the client is responsible for executing them one at a time and returning the result, in the expected format, in order to proceed. + +For example, with a custom tool generation request with a `get_weather` function definition, the input of "What is the weather in Tokyo and New York?" will, by default, cause two function calls to be generated - a `get_weather` function call definition for each of `Paris` and `New York`. With `parallel_tool_calls = false`, however, only one of these will be generated initially; the client is then responsible for executing that function call and appending the results to the message history, after which the conversation will proceed with the model-generated second function tool call definition. + +| parallel_tool_calls=true | parallel_tool_calls=false | +|------|-------| +| Image | Image | diff --git a/src/llama_stack/providers/inline/agents/meta_reference/responses/streaming.py b/src/llama_stack/providers/inline/agents/meta_reference/responses/streaming.py index 6761514129..5dc0577eaf 100644 --- a/src/llama_stack/providers/inline/agents/meta_reference/responses/streaming.py +++ b/src/llama_stack/providers/inline/agents/meta_reference/responses/streaming.py @@ -315,6 +315,7 @@ async def create_response(self) -> AsyncIterator[OpenAIResponseObjectStream]: model=self.ctx.model, messages=messages, # Pydantic models are dict-compatible but mypy treats them as distinct types + 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