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rbuchmayer-pplx 1be54cc0e1 fix(perplexity): serialize ToolMessage and AIMessage.tool_calls (#37911 )

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>

2026-06-05 15:14:42 -04:00

langchain_perplexity

fix(perplexity): serialize ToolMessage and AIMessage.tool_calls (#37911 )

2026-06-05 15:14:42 -04:00

scripts

ci: avoid unnecessary dep installs in lint targets (#36046 )

2026-03-17 21:23:29 -04:00

tests

fix(perplexity): serialize ToolMessage and AIMessage.tool_calls (#37911 )

2026-06-05 15:14:42 -04:00

.gitignore

…

LICENSE

…

Makefile

feat(perplexity): add PerplexityEmbeddings (#37082 )

2026-04-29 17:51:50 -04:00

pyproject.toml

release(perplexity): 1.3.1 (#37720 )

2026-05-27 16:42:53 -04:00

README.md

chore(docs): update x handle references (#37081 )

2026-04-29 13:56:09 -04:00

uv.lock

fix(perplexity): serialize ToolMessage and AIMessage.tool_calls (#37911 )

2026-06-05 15:14:42 -04:00

README.md

langchain-perplexity

Looking for the JS/TS version? Check out LangChain.js.

Quick Install

pip install langchain-perplexity

🤔 What is this?

This package contains the LangChain integration with Perplexity.

📖 Documentation

For full documentation, see the API reference. For conceptual guides, tutorials, and examples on using these classes, see the LangChain Docs.

📕 Releases & Versioning

See our Releases and Versioning policies.

💁 Contributing

As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.

For detailed information on how to contribute, see the Contributing Guide.