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* feat(lens): add who started the run to RunSource * feat(lens): carry agent.source.user on trace span rows * feat(lens): resolve the run source user from the span row * feat(lens): read agent.source.user in trace_spans query * feat(lens): read agent.source.user in trace_page_spans query * feat(lens): read agent.source.user in trace_span_batch query * feat(lens): read agent.source.user in trace_list_span_batch query * feat(lens): decode the source user from clickhouse span rows * test(lens): add source user to trace cache test rows * test(lens): add source user to trace cache read fixtures * test(lens): add source user to trace cache snapshot fixtures * test(lens): add source user to capture fixture rows * test(lens): round-trip source user on span row contract * test(lens): cover run source user resolution * chore(lens): regenerate python trace types with source user * chore(lens): regenerate trace json schema with source user * chore(lens): regenerate trace page json schema with source user * chore(ui): add source user to api types * feat(lens): add run user chip and slack thread chip * feat(lens): put agent, user and thread on the first row of the run header * test(lens): cover the run header identity row and compact totals * feat(lens): start demo runs from a slack thread |
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| .. | ||
| schemas | ||
| templates | ||
| config.json | ||
| README.md | ||
Run uv run scripts/generate_trace_types.py from the repository root to export Rust schemas and regenerate the Python trace contracts. Run uv run scripts/generate_trace_types.py --check to compare fresh output with the committed schemas and Python files
The script pins datamodel-code-generator in its inline dependency metadata. Rust uses the workspace's locked Schemars version through each owning crate's optional schema feature. Neither tool is a Python runtime dependency
The litellm-traces Rust request types own the generated request models in litellm/rust_bridge/trace/generated/requests.py. The GET routes bind their query parameters directly to the generated models. GET request types allow unknown fields because existing clients' unknown query parameters are ignored. The SQL body model forbids extra fields
Each crate exports its own roots using JSON Schema 2020-12. Request parameters use Schemars' deserialization contract and carry only explicitly declared constraints. Their schemas skip the integer-bounds transform because it would add i64 bounds to start_ms and end_ms, narrowing what Python accepts, and replace page_size's explicit 1..500 range with 0..65535. Trace views and query help use the serialization contract. Lens rows use their ClickHouse deserialization schemas, including quoted numbers and numeric boolean flags
The templates preserve tuple conversion, immutable tuple defaults, and bounded ReadOnly TypedDict fields. Pydantic models use the generator's frozen-model option and each schema's extra-field policy. ClickHouse numeric schemas select bounded, normalized Python scalar types through schema metadata consumed by the model template
Changing the public request contract requires a separate behavior-change PR
Edit the owning Rust contract, schema annotation, or generation configuration, then regenerate. Never edit litellm/rust_bridge/trace/generated/ manually. responses.py holds the generated SQL response, and queries.py keeps the ClickHouse envelope as an internal validator