df23f11e9b
* feat(lens): carry lens.source attributes on trace span rows * feat(lens): read lens.source attributes in trace_spans query * feat(lens): read lens.source attributes in trace_page_spans query * feat(lens): read lens.source attributes in trace_span_batch query * feat(lens): read lens.source attributes in trace_list_span_batch query * feat(lens): decode lens.source columns from clickhouse span rows * feat(lens): add run source to the trace summary contract * feat(lens): export RunSource from litellm-traces * feat(lens): resolve the https run source from the root span * test(lens): cover run source resolution and https guard * test(lens): add source fields to capture fixture rows * test(lens): round-trip source fields on span row contract * test(lens): add source fields to trace cache test rows * test(lens): add source fields to trace cache read fixtures * test(lens): add source fields to trace cache snapshot fixtures * chore(lens): regenerate python trace types with run source * chore(lens): regenerate trace json schema with run source * chore(lens): regenerate trace page json schema with run source * chore(ui): regenerate api types with trace run source * feat(lens): add run source link with hover card * test(lens): cover run source app detection and url guard * feat(lens): show the run source next to the trace name * feat(lens): label the run source link, e.g. Slack thread * test(lens): assert run source link labels * feat(lens): move the run source link into the trace stats row * feat(lens): add a typed run source, e.g. slack or teams * feat(lens): export RunSourceType * feat(lens): carry the source type on trace span rows * feat(lens): resolve the run source type, defaulting to custom * feat(lens): read agent.source attributes in trace_spans query * feat(lens): read agent.source attributes in trace_page_spans query * feat(lens): read agent.source attributes in trace_span_batch query * feat(lens): read agent.source attributes in trace_list_span_batch query * feat(lens): decode the source type from clickhouse span rows * test(lens): cover run source type parsing * test(lens): add source type to capture fixture rows * test(lens): round-trip source type on span row contract * test(lens): add source type to trace cache test rows * test(lens): add source type to trace cache read fixtures * test(lens): add source type to trace cache snapshot fixtures * chore(lens): regenerate python trace types with source type * chore(lens): regenerate trace json schema with source type * chore(lens): regenerate trace page json schema with source type * chore(ui): regenerate api types with run source type * feat(lens): pick the run source logo and label from its type * test(lens): cover run source labels by type and slack logo * feat(lens): show the run source as a Source stat with the app name * test(lens): assert run source app names * feat(lens): place the Source stat before Duration |
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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