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1be54cc0e1
Fixes #37912 `ChatPerplexity._convert_message_to_dict` raises `TypeError` on `ToolMessage` and drops `AIMessage.tool_calls`, which breaks tool-message round-trips through `ChatPerplexity` — a client-side tool-calling loop, or a shared message history across providers via `RunnableWithFallbacks`. Repro: ```python from langchain_perplexity import ChatPerplexity from langchain_core.messages import ToolMessage ChatPerplexity(model="sonar")._convert_message_to_dict( ToolMessage(content="result", tool_call_id="call_1") ) # TypeError: Got unknown type content='result' tool_call_id='call_1' ``` An `AIMessage` carrying `tool_calls` also serializes to `{"role": "assistant", "content": ...}` with the `tool_calls` silently dropped. This brings the converter to parity with `langchain-openai`: serialize `tool_calls` / `invalid_tool_calls`, send `content` as `null` when tool_calls are present, and add a `tool`-role branch for `ToolMessage`. How I verified: added unit tests for the `ToolMessage` and `AIMessage.tool_calls` / `invalid_tool_calls` cases; the perplexity package unit tests, lint, and format all pass. Scope: translating these to the Responses (Agent) API's `function_call` / `function_call_output` input items is a separate follow-up; this PR is the Chat Completions serialization parity fix. --------- Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com> Co-authored-by: Mason Daugherty <mason@langchain.dev> Co-authored-by: Mason Daugherty <github@mdrxy.com>
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