* test(e2e): OTEL trace completeness on /v1/messages Extends the LIT-3787 trace-completeness suite to the Anthropic-native route: one successful non-streaming /v1/messages call must land at the destination as ONE connected trace (root SERVER span + auth/db/cost children + gen-AI CLIENT span, no dangling parents). Adds the raw /v1/messages sender to the logging suite client. * test(e2e): reuse the shared AnthropicMessagesBody per review Drops the duplicate /v1/messages request model in favor of the one models.py already provides (budget_client uses the same one), passes max_tokens at the call site to match the sibling chat test, notes in the docstring why the gen-AI span is named chat on this surface, and adopts the hardened read-back signature * test(e2e): author the messages trace test docstring * test(e2e): declare the messages surface on the covers marker * test(e2e): otel trace completeness on /v1/responses (#33134) * test(e2e): OTEL trace completeness on /v1/responses Extends the LIT-3787 trace-completeness suite to the OpenAI Responses API route: one successful non-streaming /v1/responses call must land at the destination as ONE connected trace. Adds the raw /v1/responses sender, a CHEAP_OPENAI_MODEL config constant, and registers responses in the otel registry cell's exercised_on. * test(e2e): author the responses trace test docstring * test(e2e): declare the responses and chat surfaces on the covers markers |
||
|---|---|---|
| .. | ||
| __init__.py | ||
| collector.py | ||
| guardrail.yaml | ||
| llm_conversational.yaml | ||
| llm_nonconversational.yaml | ||
| logging.yaml | ||
| mcp.yaml | ||
| mgmt.yaml | ||
| other.yaml | ||
| quota_management.yaml | ||
| README.md | ||
| registry.py | ||
| reliability.yaml | ||
| schema.py | ||
| test_collector.py | ||
e2e coverage registry
This directory is the denominator for e2e test coverage: the set of behaviors we
want covered, one row per behavior, checked into the repo so coverage is a number we
can track instead of a guess. It implements the plan in the "E2E Coverage Tracking"
note; the naming grammar lives in tests/e2e/CLAUDE.md.
The model
A cell is one customer-noticeable behavior a single e2e test can assert pass/fail
on, for example llm.chat_completions.bedrock_converse.tool_use.stream.works. Cells are
grouped module > feature > test, with LLM cells split into Core LLMs and
Non-Core LLMs for dashboarding. Each cell carries a tier (P0/P1/P2), a source, and a
fail_before_fix flag.
The rows live in per-prefix YAML files (llm_*.yaml, mgmt.yaml, mcp.yaml,
reliability.yaml, quota_management.yaml, logging.yaml, guardrail.yaml,
other.yaml) and validate against
the discriminated union in schema.py, so an LLM row cannot carry a guardrail field and
vice versa. llm rows with subject_endpoint of chat_completions, messages, or
responses roll up to Core LLMs; all other LLM endpoints roll up to Non-Core LLMs.
LLM endpoint, route, and capability values are typed in schema.py, so new taxonomy
values require an explicit schema change. logging and guardrail are two id-prefixes
that roll up into the single Logging & Guardrails dashboard module.
A test declares what it covers with a marker:
@pytest.mark.covers("llm.chat_completions.openai.tool_use.stream.works")
def test_openai_streaming_tool_calls(self) -> None:
...
The number
collector.py diffs the registry against those markers and reports coverage per module.
It is static: a collect-only pass reads the markers, so it runs no test and needs no live
proxy. Whether a covered cell currently passes or fails is a separate, live concern.
cd tests/e2e && PYTHONPATH=. python -m coverage_registry.collector
Use --format loki after the e2e pytest run in the same Kubernetes job/pod to print
structured stdout lines for Loki:
cd tests/e2e && PYTHONPATH=. python -m coverage_registry.collector --format loki --strict
This emits exactly one COVERAGE_TOTAL line and one COVERAGE_MODULE line per module
in MODULE_ORDER, in that order. Loki uses log-safe module= labels from
LOKI_MODULE_LABELS (core_llms, management_ui, etc.) so existing JSON and
Prometheus consumers keep their human-readable module names unchanged.
The headline is overall coverage. The collector also lists markers that point at ids not in the registry, so a typo or an unenumerated behavior surfaces instead of being silently dropped.
Use strict mode in CI once existing draft markers are reconciled:
cd tests/e2e && PYTHONPATH=. python -m coverage_registry.collector --strict
Strict mode exits non-zero on @pytest.mark.covers(...) ids that are not checked into
the registry. Add --fail-on-collection-errors when the job should also fail on pytest
collection errors.
Status: this is a draft for review
The cells were enumerated from the codebase and the tiers are a first proposal. Known things to settle before treating the set as final:
- tiers are proposed, not signed off; 125 P0 is a lot to prove fail-before-fix, so P0 may want tightening
- a few cells need a support check or a prune (for example
llm.embeddings.anthropic.*andreliability.perf.throughput.under_slo) - auth is covered in two places (
other.auth.*and the mgmt authz assertions); the boundary needs a decision, and the auth cluster may deserve promotion to its own module - the P2 "niche" cells each stand in for a large tail of integrations/providers by design, so the denominator is deliberately P0-weighted rather than a full inventory