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OpenAIResponsesToolResponseAdapter is the default ToolResponseAdapter used whenever you pair an agent with the OpenAI Responses adapter. It converts tool outputs into the payloads the OpenAI Responses API expects and exposes a plain-text summary that hosts can display or log.

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Behavior summary

  • Plain-text rendering: to_plain_text generates concise strings for common response types (LinkChunk, JsonChunk, TextChunk, FileChunk, EmptyChunk). Hosts decide whether to show or log that text.
  • Chat context updates: create_messages returns OpenAI Responses function_call_output objects so the model receives the tool result on the next turn.
  • Developer logging: Emits events via room.developer.log_nowait to aid debugging when tools are called.

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Response handling

Response typePlain text exampleNotes
TextChunkThe returned textInjected as-is into the chat transcript.
JsonChunkJSON string dumpUseful when the LLM expects structured output.
FileChunkfilename.extImages become input_image payloads; PDFs use input_file; text/JSON are inlined; other formats return a “not supported” message.
LinkChunk{ "name": ..., "url": ... }Links become JSON strings so the user can follow the URL.
EmptyChunk"ok"Signals successful execution without additional data.
RawOutputsChunkn/aPassed through directly as OpenAI Responses outputs, bypassing plain-text conversion.

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Extending or replacing

You can subclass OpenAIResponsesToolResponseAdapter to tweak the plain-text summary or adjust logging, provided the emitted messages continue to match the OpenAI Responses schema. Alternatively, supply your own adapter instance when constructing the agent (for example, ChatBot(..., tool_adapter=...)).

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Where it is used

  • Automatically when you construct OpenAIResponsesAdapter without specifying a custom tool_adapter.
  • In the CLI chatbot and MeshAgent Studio when interacting with OpenAI models.
  • Any agent that wants to reuse the same formatting logic can import and instantiate it directly.