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a43f128a74
Introduce the e2e coverage denominator: 282 behavior cells across the six tracking modules (LLMs, MCPs, Management/UI, Reliability & Performance, Logging & Guardrails, Other), one validated YAML row each, plus a collector that diffs the registry against @pytest.mark.covers markers and reports coverage per module. The registry rows validate against a pydantic discriminated union so a row cannot carry a field from another module. The collector is static: a collect-only pass reads the markers, so it runs no test and needs no live proxy. Register the covers marker suite-wide so that pass works under --strict-markers. This is a draft for review. Tiers are proposed rather than signed off, and a few cells still need a support check or a prune.
25 lines
6 KiB
YAML
25 lines
6 KiB
YAML
# Logging integration delivery (behavior features). Grounded in litellm/integrations/.
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- {id: logging.langfuse.success.logs_spend, module: logging, tier: P0, event: success, assertions: [logs_spend], exercised_on: [chat_completions, messages, embeddings], source: "integrations/langfuse/langfuse.py", rationale: "Primary tracing backend; cost accuracy"}
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- {id: logging.langfuse.failure.logs_spend, module: logging, tier: P0, event: failure, assertions: [logs_spend], exercised_on: [chat_completions, messages], source: "integrations/langfuse/langfuse.py", rationale: "Failure path must still track spend"}
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- {id: logging.langfuse.stream.logs_spend, module: logging, tier: P0, event: stream, assertions: [logs_spend], exercised_on: [chat_completions, messages], source: "integrations/langfuse/langfuse.py", rationale: "Streaming token counts aggregate"}
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- {id: logging.s3.success.writes_object, module: logging, tier: P0, event: success, assertions: [writes_object], exercised_on: [chat_completions, messages, embeddings], source: "integrations/s3_v2.py", rationale: "Primary audit trail; batch flush no-drop"}
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- {id: logging.s3.failure.writes_object, module: logging, tier: P0, event: failure, assertions: [writes_object], exercised_on: [chat_completions, messages], source: "integrations/s3_v2.py", rationale: "Failed calls persisted for compliance"}
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- {id: logging.gcs_bucket.success.writes_object, module: logging, tier: P0, event: success, assertions: [writes_object], exercised_on: [chat_completions, messages, embeddings], source: "integrations/gcs_bucket/gcs_bucket.py", rationale: "GCS parallel to S3"}
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- {id: logging.datadog.success.exports_metric, module: logging, tier: P0, event: success, assertions: [exports_metric], exercised_on: [chat_completions, messages, embeddings], source: "integrations/datadog/datadog.py", rationale: "Powers dashboards/alerts; cardinality regressions common"}
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- {id: logging.datadog.failure.exports_metric, module: logging, tier: P0, event: failure, assertions: [exports_metric], exercised_on: [chat_completions], source: "integrations/datadog/datadog.py", rationale: "Failure metrics for alerting/SLO"}
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- {id: logging.prometheus.success.exports_metric, module: logging, tier: P0, event: success, assertions: [exports_metric], exercised_on: [chat_completions, messages, embeddings], source: "integrations/prometheus.py", rationale: "Standard OSS metrics; per-key cardinality (existing e2e)"}
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- {id: logging.otel.success.exports_metric, module: logging, tier: P0, event: success, assertions: [exports_metric], exercised_on: [chat_completions, messages, embeddings], source: "integrations/otel/logger.py", rationale: "OTEL spans on every call path"}
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- {id: logging.otel.failure.exports_metric, module: logging, tier: P0, event: failure, assertions: [exports_metric], exercised_on: [chat_completions, messages], source: "integrations/otel/logger.py", rationale: "Error spans for observability continuity"}
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- {id: logging.braintrust.success.logs_spend, module: logging, tier: P1, event: success, assertions: [logs_spend], exercised_on: [chat_completions, messages], source: "integrations/braintrust_logging.py", rationale: "Evals platform spend"}
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- {id: logging.langsmith.success.logs_spend, module: logging, tier: P1, event: success, assertions: [logs_spend], exercised_on: [chat_completions, messages], source: "integrations/langsmith.py", rationale: "LangChain ecosystem"}
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- {id: logging.arize.success.logs_spend, module: logging, tier: P1, event: success, assertions: [logs_spend], exercised_on: [chat_completions, embeddings], source: "integrations/arize/arize.py", rationale: "ML-ops observability"}
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- {id: logging.mlflow.success.logs_spend, module: logging, tier: P1, event: success, assertions: [logs_spend], exercised_on: [chat_completions], source: "integrations/mlflow.py", rationale: "Experiment tracking cost/run"}
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- {id: logging.opik.success.logs_spend, module: logging, tier: P1, event: success, assertions: [logs_spend], exercised_on: [chat_completions], source: "integrations/opik/opik.py", rationale: "Eval platform spend/case"}
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- {id: logging.openmeter.success.exports_metric, module: logging, tier: P1, event: success, assertions: [exports_metric], exercised_on: [chat_completions, messages, embeddings], source: "integrations/openmeter.py", rationale: "Usage metering for billing"}
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- {id: logging.literal_ai.success.logs_spend, module: logging, tier: P1, event: success, assertions: [logs_spend], exercised_on: [chat_completions, messages], source: "integrations/literal_ai.py", rationale: "Tracing platform spend"}
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- {id: logging.posthog.success.exports_metric, module: logging, tier: P1, event: success, assertions: [exports_metric], exercised_on: [chat_completions, messages], source: "integrations/posthog.py", rationale: "Product analytics batching"}
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- {id: logging.azure_storage.success.writes_object, module: logging, tier: P1, event: success, assertions: [writes_object], exercised_on: [chat_completions, messages], source: "integrations/azure_storage/azure_storage.py", rationale: "Azure blob for enterprise"}
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- {id: logging.cloudzero.success.logs_spend, module: logging, tier: P1, event: success, assertions: [logs_spend], exercised_on: [chat_completions], source: "integrations/cloudzero/cloudzero.py", rationale: "Cost ops correlation"}
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- {id: logging.focus.success.writes_object, module: logging, tier: P1, event: success, assertions: [writes_object], exercised_on: [chat_completions, messages], source: "integrations/focus/focus_logger.py", rationale: "Cost mgmt multi-destination export"}
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- {id: logging.niche_integrations.success.logs_spend, module: logging, tier: P2, event: success, assertions: [logs_spend], exercised_on: [chat_completions], source: grammar, rationale: "SMOKE cohort: athina/galileo/deepeval/langtrace/weave/lunary/humanloop/traceloop/helicone/argilla/newrelic/sqs/supabase/dynamodb/agentops/lago/etc"}
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- {id: logging.niche_integrations.failure.logs_spend, module: logging, tier: P2, event: failure, assertions: [logs_spend], exercised_on: [chat_completions], source: grammar, rationale: "SMOKE niche failure path"}
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