feat(openai): pass through code_interpreter tool in Responses API - #1
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| defp extract_code_interpreter_items(_), do: [] | ||
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| defp code_interpreter_item?(%{"type" => type}) when is_binary(type) do |
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couldn't these this be a match clause with %{"type" => "code_interpreter" <> _}
maybe add it as a module attribute instead of literal
| String.starts_with?(type, "code_interpreter") | ||
| end | ||
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| defp code_interpreter_item?(%{type: type}) when is_binary(type) do |
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Description
Adds minimal Code Interpreter passthrough support to ReqLLM's OpenAI Responses API provider.
Callers can now pass
%{"type" => "code_interpreter", "container" => ...}intools:and ReqLLM will forward the tool map unchanged to OpenAI.Raw
code_interpreter_*output items (code_interpreter_call,code_interpreter_logs,code_interpreter_interpretation, etc.) can be accessed inresponse.provider_meta["code_interpreter"]["items"]and are excluded from normal text/function tool-call extraction.Both object containers (
%{"type" => "auto", "memory_limit" => "4g"}) and explicit string container IDs ("cntr_abc123") are supported.Notes:
ChatCompletionFunctionToolParam) only supportstype: "function", so code_interpreter is not supported there.ReqLLM.Providers.OpenAI.ResponsesAPI, so this change will passcode_interpreterthrough automatically. However, Azure OpenAI's Responses API may not expose Code Interpreter; I am unable to confirm this through the docs though. I am working on trying to test it.Type of Change
Breaking Changes
Testing
mix test)mix quality)lib/req_llm/streaming/http2_duplex_session.ex:83, it's unrelated to my changes though, fixing it is straightforward but not within the scope of this pr, if it's ignored mix quality passesLive verification:
Screen.Recording.2026-06-23.at.3.16.58.PM.mov
Checklist
CHANGELOG.md(it is auto-generated by git_ops)Related Issues
Closes #