feat(weave): add AG2 (formerly AutoGen) tracing integration

[VasiliyRad]

Add AG2 (formerly AutoGen) tracing integration

Weave traces conversations for several agent frameworks but not AG2. AG2 is the community-driven fork of Microsoft AutoGen, one of the most downloaded multi-agent orchestration frameworks on PyPI. This is a separate integration from the existing autogen integration, which targets Microsoft's autogen-agentchat v0.5+ — the two projects have diverged in API.

This PR patches four AG2 methods to capture nested traces of agent conversations and LLM calls, using the same
SymbolPatcher pattern as the CrewAI integration.

Changes

• weave/integrations/ag2/ — patcher module with input
  sanitizers for chat and LLM inputs
• weave/integrations/patch.py — patch_ag2() function and
  import-based dispatcher that routes to the correct patcher
  depending on whether AG2 or Microsoft AutoGen is installed
• weave/integrations/__init__.py — export patch_ag2
• weave/trace/autopatch.py — ag2 field in
  AutopatchSettings
• tests/integrations/ag2/ — two-agent with tool use,
  three-agent group chat (VCR cassettes needs to be generated
  before merge)

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/approve 98706c2d2f8a17343a2f94d12aa1c6ac778b8f29

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[VasiliyRad]

I have read the CLA Document and I hereby sign the CLA

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Preview this PR with FeatureBee: https://beta.wandb.ai/?betaVersion=0526087fdea46ee54f0c0a60cf4ceff71a40fbae

[andrewtruong]

Hey @VasiliyRad thanks for the PR. This PR seems mostly fine

You'll also need to:

1. Add an extra for this in pyproject.toml;
2. Generate the cassettes for your tests;

[VasiliyRad]

Hey @VasiliyRad thanks for the PR. This PR seems mostly fine

You'll also need to:

1. Add an extra for this in pyproject.toml;
2. Generate the cassettes for your tests;

Done — added ag2 extra and ag2_tests dependency group in pyproject.toml. Cassettes recorded and included