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Demonstrates the LangSmithPlugin for automatic LangSmith tracing in Temporal workflows. Includes two examples: - basic/: one-shot LLM workflow (prompt → OpenAI → result) - chatbot/: conversational loop with save_note/read_note tools, signals, queries, and dynamic trace names Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Add @Traceable with metadata, tags, and run_type variety to workflows - Add client-side @Traceable on starters for end-to-end trace linking - Add --temporal-runs flag to workers and starters for add_temporal_runs toggle - Use run_type="llm" for OpenAI calls, "tool" for save_note, "chain" for orchestration - Add trace tree diagrams to README showing both add_temporal_runs modes - Add "Three Layers of Tracing" section to README (wrap_openai, @Traceable, Temporal plugin) - Skip all tests when temporalio.contrib.langsmith is unavailable (pending SDK release) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Summary
langsmith_tracing/sample demonstratingtemporalio.contrib.langsmith.LangSmithPluginsave_note/read_notetools, signals, queries, and dynamic LangSmith trace nameslangsmith-tracingdependency grouplangchainandlangsmith-tracingas conflicting groups in[tool.uv]to avoid version conflictsTest plan
poe format— passesmypyonlangsmith_tracing/andtests/langsmith_tracing/— passespytest tests/langsmith_tracing/— basic test passes, chatbot tests skip (pending SDK plugin release)🤖 Generated with Claude Code