[pull] develop from baserow:develop #94
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) * Add PostHog telemetry tracing for LLM assistant operations This commit adds comprehensive PostHog telemetry integration to track and analyze LLM assistant operations including: - uDSPy module execution (ChainOfThought, ReAct, Predict) - LLM API calls with automatic generation tracking - Tool invocations - Performance metrics (latency, token usage) - Error tracking with exception messages The telemetry system: - Captures hierarchical span relationships for nested operations - Patches OpenAI client for automatic generation event tracking - Handles errors gracefully without breaking assistant execution - Respects POSTHOG_ENABLED setting - Adds workspace and user context to all events Run the telemetry test suite: ```bash just pytest -k test_telemetry ``` All 8 tests should pass, covering: - Trace context manager (success and exception paths) - Module execution tracing (ChainOfThought, ReAct, Predict) - LM callback enrichment - Tool execution tracing - Exception handling (module and tool failures) - Telemetry disabled state To test manually: 1. Ensure POSTHOG_ENABLED=True in settings 2. Set up PostHog project credentials 3. Use the assistant and verify events appear in PostHog 4. Check for $ai_trace, $ai_span, and $ai_generation events 5. Verify span hierarchy and context propagation * Fix issue when POSTHOG_PROJECT_API_KEY is not set * Fix tests; capture all spans; add trace input and output * Bump udspy version
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