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d6b55c0b2f* Raise on unhandled content types in sampling handler dispatch chains The Anthropic and OpenAI sampling handlers have isinstance chains that dispatch on MCP content types but silently drop unhandled variants like EmbeddedResource and ResourceLink. This adds explicit else-raise guards to match the Gemini handler's behavior and the single-content dispatch paths that already raise. Raising is the right choice over warn-and-skip: a partial conversion produces a plausible-but-wrong LLM response (the model confidently answers based on incomplete input), which is worse than a clear error that tells the user exactly what isn't supported. 🤖 Generated with Claude Code Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Add tests for unsupported content type raises in sampling handlers Tests the new ValueError raises for unsupported content types (e.g. EmbeddedResource) in the Anthropic and OpenAI message conversion loops. Uses model_construct to bypass Pydantic's union validation since the raise is a defensive guard for future SDK content types. 🤖 Generated with Claude Code Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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| cli | ||
| client | ||
| conformance | ||
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| experimental | ||
| fs | ||
| integration_tests | ||
| prompts | ||
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| server | ||
| telemetry | ||
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| __init__.py | ||
| conftest.py | ||
| test_apps.py | ||
| test_apps_prefab.py | ||
| test_fastmcp_app.py | ||
| test_json_schema_generation.py | ||
| test_mcp_config.py | ||