Four registry cells that had no e2e test. The cache_control suite gains a direct
Anthropic case (the same cache_control prefix the Bedrock and Vertex rows send)
and an OpenAI case, where caching is automatic so the prefix goes out as a plain
system string with a prompt_cache_key; both assert the second identical call
reports cache-read tokens. The shared second-call helper now takes the send
callable so the OpenAI shape fits without a second copy of the retry loop.
The embeddings suite gains a cohere/embed-v4.0 deployment that must return a
non-zero vector, and the passthrough suite gains an OpenAI-format chat through
the raw /openai/v1/chat/completions prefix that must relay a real completion and
log a costed pass_through_endpoint row whose token counts match the usage the
caller was served.
The shared proxy wrapper in tests/e2e/e2e_gateway.py was misnamed: Gateway is
not a gateway server, it is the client every suite uses to talk to the proxy
(keys, models, chat/embed/ocr, spend read-backs, poll helpers). Rename the
module to proxy_client.py and the class to ProxyClient, with build_gateway
becoming build_proxy_client and the GatewayProvider protocol becoming
ProxyClientProvider. The .gateway attribute suites held is now .proxy. Only
identifiers changed; prose and string literals that use the word gateway for the
proxy-server concept were left alone.
Each suite previously built its own instance through a per-suite build_client()
that called build_gateway() inside, duplicating the proxy wiring across suites.
There is now one session-scoped proxy fixture in tests/e2e/conftest.py; every
suite's client fixture depends on it and injects it, so the wiring lives in one
place. claude_code keeps building its own client directly since it has its own
harness and does not use the shared fixtures.
Behavior is unchanged: shared transport, data-plane/control-plane split routing,
poll budget, typed request/response models, and resource cleanup all go through
the same object.
azure batch used azure/gpt-4.1-mini-batch; gpt-4.1-mini is deprecating (2026-11-04)
and can no longer be deployed, so point it at gpt-5.4-mini (Global Batch) and bump
the api_version to 2025-04-01-preview. Requires an Azure Global Batch deployment
named gpt-5.4-mini-batch plus AZURE_API_BASE/AZURE_API_KEY on the proxy.
xai/grok-4-1-fast-non-reasoning is deprecated (2026-05-15); update the commented
xai realtime provider and the coverage-matrix doc to xai/grok-4-1-fast.
