feat(mlflow): one-switch tracing for Claude and Codex#36
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Gemini cli looks broken for auto tracing FYI. Feel free to verify for yourselves by following the directions here and watching your logs not update. I flagged in the mlflow channel https://mlflow.org/docs/latest/genai/tracing/integrations/listing/gemini_cli/#configuration-examples |
mpkrass7
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May 11, 2026
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Adds MLFLOW_TRACING_ENABLED — a single env var that turns on MLflow
tracing for all three CLIs into the same /Users/{owner}/{app} experiment.
- setup_mlflow.py: gates Claude's Stop hook on the new var (default off);
trims docstring and drops redundant tracing_value
- setup_codex.py: installs @mlflow/codex, wires the notify hook, writes
mlflow-tracing.json + MLflow env vars when enabled
- setup_gemini.py: appends Gemini's native OTLP env vars pointed at the
Databricks OTLP collector (/api/2.0/otel) when enabled, then reverted
because Databricks OTLP doesn't accept JSON
- utils.py: resolve_mlflow_experiment_id() helper using databricks-sdk
(codex needs the experiment ID, not name)
- cli_auth.py: rotates the bearer token inside Gemini's OTEL headers so
OTLP ingest survives PAT rotation
- README + app.yaml.template: document the new switch
Co-authored-by: Isaac
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What does this PR do?
Addresses #35
Adds MLFLOW_TRACING_ENABLED: a single env var that turns on MLflow tracing for all three CLIs into the same /Users/{owner}/{app} experiment. It's in the .yaml file now
Co-authored-by: Isaac
Testing
Please test your changes on dogfood before merging.