* feat(realtime): support latest OpenAI audio models * fix(transcription): type SDK stream duration metadata explicitly * fix(realtime): preserve transport settings and translation duration * refactor(realtime): reuse SDK client initialization * fix(audio): bill finalized streams and authorize transcription models * refactor(audio): keep transcription pricing selection together * fix(realtime): reconcile model metadata and test contracts * fix(realtime): preserve provider duration and model capabilities * fix(realtime): keep transcription validation compatible with cost map guard * fix(realtime): address transcription and billing review findings * fix(realtime): preserve input usage and provider routing * fix(realtime): bill retained output and route Azure aliases * fix(realtime): reject malformed provider durations * fix(realtime): preserve batch cache rates and Azure v1 routes * fix(transcription): reject nonfinite provider durations * refactor(realtime): align annotations with current lint rules * fix(realtime): preserve translation deployment pricing and input usage * test(transcription): verify synchronous stream finalization * fix(realtime): retain missing translation input usage at close * fix(transcription): reject streams that bypass output guardrails * fix(realtime): reconcile audio protocols billing and current CI * fix(realtime): trust confirmed formats and authorize default models * fix(realtime): preserve absent models and reject unsupported guardrails * fix(realtime): reject translation policy pipelines * chore(ci): rerun transient infrastructure timing failure * fix(realtime): reconcile audio protocols with current upstream * fix(audio): validate provider responses at SDK boundaries * fix(realtime): preserve minimum OpenAI SDK compatibility * fix(realtime): preserve deferred Live session authorization * fix(realtime): preserve upstream authentication and transcription behavior * fix(audio): scope provider duration precedence to configured models * fix(typing): avoid Final declarations inside transcription cost loop * refactor(audio): reuse transcription mapping and duration resolution * fix(realtime): enforce model budgets and preserve translation routing * fix(audio): log streamed transcripts whose done event reports detected languages * fix(audio): pass stream, languages and keywords through unchecked for non-OpenAI transcription providers Providers without a streaming transcription handler got UnsupportedParamsError for stream=True, languages and keywords, where the merge base forwarded them as provider-specific params. Only openai and azure validate them now. * fix(audio): bill streamed gpt-transcribe from the provider's reported duration The stream path computed cost after logging had replaced the transcription's duration usage, so it fell back to the measured file length while the unstreamed call billed the provider's seconds. * fix(transcription): log streamed transcription usage from the provider response The stream logging path built the spend payload from the response after its duration usage was transformed away, so whisper-1 with stream=true and streamed gpt-transcribe logged an empty usage object. Bill and log from the provider's TranscriptionResponse in both the sync and async paths. * fix(realtime): keep main's routing, protocol and transport behavior around the new translation routes - Send OpenAI realtime and translation client_secrets and calls through litellm's httpx client again, so ssl_verify and custom CA settings apply and upstream errors keep main's shape - Use the input transcription model as the session model only for transcription sessions - Drop the new /openai/v1 translation aliases and record each lazy feature's own routes, so the /openai pass-through and the MCP routes resolve as on main - Let a configured Azure realtime_protocol win for every model, with GA as the default only when none is set - Return x-litellm headers on streamed transcriptions and mark the request done - Refuse translation sessions before connecting upstream when realtime guardrails apply or the provider is not OpenAI or Azure - Accept json and text for gpt-transcribe, and drop other formats under drop_params instead of failing - Bill translation sessions on output audio seconds only, at the single published rate - Document the 201 SDP answer on the translation calls routes and the transcription 200 response * fix(realtime): restore main behavior for guardrails, Azure transcription, and realtime clients Streamed transcription runs unstreamed when a deployment post_call guardrail applies, so the guardrail still sees the transcript. Azure transcription maps v1, latest and preview to the default dated version on the deployments route for every model. The SDK client secret keeps session.model ahead of model, realtime WebSockets connect to api_base again, realtime metadata keeps only guardrails, and managed agents need an explicit transcription model. Reverts the two unrelated streamed Responses error codes and the duplicate cached_tokens_details field, and the gpt-transcribe format check only reads the request provider's cost map entry. * fix(realtime): keep main's transcription, client secret and route behavior where the PR changed it Transcription reaches every provider as on main again, sends stream only when asked, forwards language and languages together, keeps form key order, bills provider seconds only when above zero, honors base_model for the new flags, keeps main's Azure api_version on the proxy path, and streams carry chat's headers, an error event on a mid-stream failure, and a spend row when the stream ends early. Translation cost reads both per-second rates from one source and spend rows carry the billed seconds. Realtime transcription WebSockets keep model in the upstream URL outside OpenAI's hosts, client secrets forward explicit nulls, accept conversation and delay, and answer 400 on a malformed body, the /openai translation paths are back to main, translation refuses only for guardrails realtime sessions run, nested aliases resolve and later session.update models are authorized, translation client secrets run per-model auth, beta clients bridged to GA get beta-shaped session events, and transcription sessions send the deployment model in both shapes. * fix(realtime): address review findings on transcription billing, streaming and realtime auth Per-second pricing replaces token billing only when the priced entry sets no token rates, translation rates fall back per key to the cost map, transcription cache keys include languages and keywords, a stream request a post_call guardrail forces unstreamed comes back as redacted SSE, Azure beta clients are bridged only for GA-only deployments, nested transcription models on the realtime WebSocket are checked against the key, and translation spend carries key and team metadata * fix(azure): pick the GA realtime protocol for deployments whose model_info.base_model is GA-only * fix(realtime): preserve prior merge resolutions after rebase * fix(realtime): enforce translation policies and normalize Azure transcription URLs * fix(cookbook): stop translation once output idles after the upload ends * fix(realtime): bill translation on input audio and drop pre-read stream cost headers Translation spend now uses the input audio seconds the session sent, priced through input_cost_per_second, instead of the translated output duration. A streamed transcription no longer returns cost headers before the stream is read, since the cost is only known after the last event. Also removes an unused realtime guardrail helper. * fix(realtime): drop top-level session nulls, bill dropped transcription streams, and bridge beta response fields Client secret, translation and transcription session bodies drop top-level nulls again, as main did, while nested nulls such as turn_detection still pass through. Transcription client secrets send the deployment model as session.model. A streamed transcription the client drops still runs its success callbacks, and the stream ends with data: [DONE] like OpenAI's. The beta to GA bridge maps max_response_output_tokens, speed and noise reduction, remaps response.create, and drops temperature under drop_params. The Entra token for realtime HTTP routes is fetched off the event loop * test(e2e): cover realtime translation, live transcription, client secrets, and streamed transcription * fix(realtime): close review gaps in translation billing, transcription streams, and Azure GA Bill translation sessions from the deployment's own per-second rates, add per-second prices for Azure gpt-4o transcribe models, keep stream-scoped guardrails seeing the caller's stream flag, map mid-stream transcription errors to LiteLLM exceptions with a [DONE] frame, map GA responses back to the beta shape for bridged beta clients, honor the minting key's guardrail opt-out on translation calls, restore the Azure transcription session URL, and flag GA-only Azure realtime models * fix(realtime): bill a translation rate the deployment omits from the session model * test(e2e): check translated speech is not English instead of exact French wording * fix(realtime): keep main's behavior for non-bridged backends, stream error frames, gateway URLs and Azure transcribe prices Remap beta events to GA only for bridged beta clients and translation sessions, bridge beta clients on GA-pinned Azure deployments, log error-only upstream sessions as failures, flag dated Azure GA realtime models, drop the unpublished Azure per-second transcribe rates, log a mid-stream transcription failure once, keep main's SSE error frame outside transcription, drop unsupported transcription params under drop_params, keep the caller's Azure auth headers, keep a gateway /v1 path, let key opt-outs release string-callback guardrails on translation, and keep the cookbook waiting while a long upload is still sending * fix(realtime): keep the proxy's realtime session gate off translation sessions A key that opts out of a legacy callback guardrail now gets a working translation session, since the transcription-guardrail gate no longer sends a realtime session.update the translation upstream rejects * fix(realtime): keep websocket model limits, bill measured transcription length, route transcription sessions on the allowed model A WebSocket opened without a query model now authorizes as an empty model, transcription cost prefers the measured upload length over the provider's reported seconds, transcription sessions overwrite nested models with the authorized top-level model again, and a non-boolean transcription stream value answers 400 or is dropped under drop_params. * fix(ci): copy the rust bridge extension into the openapi docs gate's base worktree * fix(model-catalog): accept the realtime translation endpoints in the cost map * fix(cookbook): close the translation session and read until session.closed * fix(realtime): treat an empty transcription stream as unset and pass the cost-map guard An empty `stream` form value runs the transcription unstreamed again, as OpenAI does, instead of answering 400. The four translate cost-map entries drop the translation routes from supported_endpoints until the main branch's catalog parser accepts them, and the nested transcription model lookup uses the router registry entry point. * test(proxy): drop the mid-stream error frame pin that main's error shape change replaced * fix(transcription): bill uploaded seconds when a stream fails mid-transcript * fix(proxy): bill uploaded seconds when a streamed transcription breaks mid-stream * fix(audio): keep transcription's positional arguments and redact streamed error details - Move the new languages, keywords and stream options to the end of transcription's parameters, so a prompt or format passed by position keeps its meaning - Redact internal hostnames, paths and tracebacks from a streamed transcription's mid-stream error event, as chat streams already do - Move the CA-bundle check for the realtime HTTP routes, which serves real TLS on loopback, from the unit suite to the SDK integration suite * fix(audio): stream the guarded transcript to SDK callers that asked for a stream * fix(logging): keep a streamed transcript out of callbacks that turned off message logging A streamed transcription's assembled response reached success callbacks with its text intact under turn_off_message_logging or a callback's message_logging=False, because the shared streaming redactor had no transcription branch. It now redacts the text, as the unstreamed call already does * fix(proxy): stream a transcription the deployment streamed when the client sent no stream field --------- Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> |
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|---|---|---|
| .. | ||
| _support | ||
| authorization | ||
| caching | ||
| compatibility | ||
| configuration | ||
| cost_calculation | ||
| database | ||
| management | ||
| mcp | ||
| messages_endpoint | ||
| observability | ||
| pricing | ||
| providers | ||
| routing | ||
| sandbox | ||
| sdk | ||
| security | ||
| spend | ||
| streaming | ||
| translation | ||
| __init__.py | ||
| AGENTS.md | ||
| conftest.py | ||
| coordination_redis_proxy_config.yaml | ||
| mcp_coverage.toml | ||
| oci_proxy_test_config.yaml | ||
| proxy_config.yaml | ||
| README.md | ||
| run.py | ||
| test_oci_integration.py | ||
| test_oci_proxy_integration.py | ||
Integration contracts
These tests exercise a running gateway, PostgreSQL and Redis with an owned local upstream. CircleCI owns this suite, and .github/workflows/test-integration.yml runs the same groups through run_integration.sh on GitHub Actions for run-ci pull requests and scheduled main runs. Tests are grouped by behavior, with no automatic test retries or fallback to paid provider calls
The ROI database contracts in database/test_roi_observed.py run as plain pytest outside run_integration.sh in CircleCI's roi-database Postgres job. The job uploads coverage with the roi-postgres flag. These contracts own temporary databases and script only the external provider transport
The Redis cluster IAM contracts in sdk/test_redis_cluster_iam_auth.py start their own redis-server and mock the cloud credential clients, so CircleCI's sdk group installs redis-server before it runs them
The cost group is driven by the CostTrackingTestCase literals under cost_calculation/cases/<provider>.py (gathered by cost_calculation/catalog.py), with the scripted cost map in cost_calculation/cost_map.py. Each case has a name, contract ID, cost-map model, optional deployment overrides, request body, tagged response and exact or recount expectations. Request bodies use $MODEL for the registered proxy model, while responses use $REQUEST_ID for the per-run scenario ID. To add a case, add a cost-map entry when the model is new, add the request body and exact provider response data, and add hand-computed expected values. The upstream serves each stored response for any path under /<scenario_id>, while the test-owned cost map is served over loopback through LITELLM_MODEL_COST_MAP_URL
Use tests/integration/run.py management, accounting, database, providers, extensions, mcp, sdk or cost to run a selected group. The group to directory mapping is the GROUPS literal at the top of run.py; a new directory needs a GROUPS entry and an OWNED_DIRECTORIES entry in _support/manifest.py. Set INTEGRATION_WORKERS above 1 to run a group under pytest-xdist. Every group run by more than one worker gives each worker a private database, Redis, scripted upstream process, fake provider and proxy, with a peer and read-only database role where required. There is no opt-in list and no shared proxy, upstream, database or Redis in that mode: run_integration.sh does not start them and does not hand their addresses to the run, so a test can only reach its own worker's services. The pytest controller owns these services and closes them after worker failures. Their cases use pytest-xdist load groups inside the files selected by CircleCI timing splits. Module and class fixtures are grouped automatically, so authors do not need scheduling markers. Function fixtures remain independently schedulable. Tests that own an independent mutable sink for every case should use function fixtures, so a shared module fixture does not serialize them or share pending observations. Nested harness probes discard the parent run's shard, worker and result settings, then supply their own selections. MCP keeps its explicit load groups. Automatic group suffixes are removed from JUnit and execution records to preserve case identities. Owned proxy helpers wait for a healthy response from every configured, live worker before yielding. Serial runs keep the supplied deployment, including routing parity runs. Set INTEGRATION_PROXY_URL, INTEGRATION_UPSTREAM_URL, INTEGRATION_MASTER_KEY and DATABASE_URL to an isolated test deployment. When that deployment runs more than one proxy worker, set INTEGRATION_PROXY_WORKERS to the count so a test that writes a model and then calls it waits out the config reload interval, the only cross-worker convergence bound the wire exposes. The runner selects the new domain directories explicitly; the legacy OCI and sandbox selections remain separate
Management, MCP and accounting also require INTEGRATION_PEER_URL, REDIS_HOST and REDIS_PORT. Under several workers each worker gets a second directly addressed proxy sharing only that worker's stores, and a single-worker run uses the two proxies run_integration.sh starts. The test-only CLI wrapper supplies enterprise route entitlement, following the existing behavior suite's convention. It does not qualify license validation; run it with one worker and no reload
The generated lifecycle models use 20 examples, eight steps, generation and shrinking, with isolated resources per example. HTTP operation caps include generation and shrinking and exempt cleanup. Local qualification defaults to seed 4106601 and canonical order; CircleCI derives exploration and ordering seeds from the checked-out revision and workflow ID. The ordering seed shuffles files, scoped fixture configurations and cases within each configuration. Ordering keeps shared module and class configurations together where their dependencies permit it. Dependent fixtures with their own module parameters can still rebuild an outer configuration, with every case retained
CircleCI uses its built-in circleci tests split --split-by=timings --timings-type=filename to assign test files using the uploaded JUnit timings. Each file stays on one node, preserving its module and parametrized fixtures. Jobs default to one node. Parallelism should use the smallest node count that keeps the complete job, including setup and cleanup, within twenty minutes. A group that already finishes within that target on one node stays on one node. Management, accounting, providers and management replica currently use four nodes. Extensions uses eight nodes; database and MCP use two, and fast suites use one. No job is configured above eight nodes. A single slow file can still determine a suite's runtime; split such a file along independent fixture boundaries rather than adding more nodes
Every node collects the same candidate files before applying CircleCI's assigned file list. Its execution record retains the candidate inventory and the selected, passed and skipped cases. An empty assigned file list produces an empty shard, not a full-suite fallback. Every parallel group has a dependent census job that rejects an empty candidate inventory, missing shards, omitted cases and duplicate execution. Standard and replica runs keep separate workspace records
Future change-based selection belongs before timing splitting. Pass the selected group files or node IDs to run.py <group> --list to list their files, then give those filenames to CircleCI. Run the same candidate selection on every node with --shard-files <CircleCI-output-path> --shards <count> --shard-index <index>. The census compares execution with the candidate inventory, while full-suite runs remain the default. CircleCI determines scheduling from timing history; timing data never selects or omits candidates. Use --seed and --order-seed to reproduce test generation and order. The installed Hypothesis version, settings, seeds and collected order are recorded beside the execution manifest
A future selector must explicitly skip a group when no candidates apply; omitting positional candidates means the full group. Keep full runs on the default branch and scheduled workflows, and select the full affected groups when shared fixtures, CI configuration or an unknown dependency changes
Reuse the existing canned provider handlers through _support/upstream.py. It rejects internal request fields and exposes actual received requests for independent assertions. Register every created resource for cleanup immediately, keep expected values independent of production calculations, and assert readback plus the runtime effect of a change
Owned proxies disable .env loading by default. A contract testing dotenv behavior can explicitly set PYTHON_DOTENV_DISABLED=0 in its owned environment. The runner drops inherited *_API_KEY variables, so a contract that needs one sets a synthetic value in its owned environment. An explicit scratch writer database drops an inherited reader with a different database name; pass both database URLs when the contract needs a paired reader. Database relays close listeners, active connections and their event loops on teardown. Upstream startup failures reap the child process before returning the failure. Custom subprocesses, direct SQL and background tasks still need an explicit owner in the test
Owned proxy workers configure a 32-thread executor before application startup, preserving additional worker startup hooks. Held synchronous provider calls must not consume a CPU-dependent executor limit before the rest of a fault burst can start. The proxy entrypoint imports LiteLLM inside main, so spawned workers begin supervision before importing the application. Worker healthchecks have a five-second deadline by default, so uvicorn kills a worker that stays paused longer than that. Tests never signal proxy processes themselves. OwnedProxy.kill_worker SIGKILLs a worker and returns once its replacement answers readiness with its own pid, replacing_worker does the same for a kill that has to land mid-burst, and suspended pauses a worker or the supervisor, which only works on a proxy launched with healthcheck=WorkerHealthcheck.LENIENT. The kill() that replacing_worker yields returns as soon as the worker is dead, so a test can release requests it holds on the surviving worker right away. Uvicorn may take a full worker healthcheck to notice the death, so the block waits for the supervisor to reap the worker and for the replacement only when it exits. Helper processes that are not the proxy stop through stop_child, stop_processes and stop_process_group and pause through paused. scripts/check_test_quality.py rule TQ010 rejects a raw os.kill, SIGKILL / SIGSTOP / SIGCONT, .kill(), .terminate(), .suspend() or .send_signal() anywhere under tests/integration outside _support, and TQ011 rejects an assertion that caps an elapsed time with a fixed number. Bound timings with _support/timing.py instead, relative to a measured control or to the injected delay. run.py measures how long this box takes to import the proxy application before it starts pytest, records it in boot-calibration.json beside the results and exports it as INTEGRATION_IMPORT_SECONDS. Readiness deadlines, graceful stops and the default per-test timeout are multiples of that measurement (_support/budget.py), so a slower box gets longer budgets and a two-worker proxy gets twice the readiness deadline of a one-worker one. Readiness requires responsive worker identities that are still alive and a positively identified owned listener. Unreadable socket records cannot establish ownership. Crash tests own their client tasks with TaskGroup, release held peers in finally and verify that the intended worker dies. A test requiring traffic on both workers prepares that traffic explicitly instead of assuming OS load balancing, for example by sending each half while the other worker is suspended
Any port the harness picks before the server that listens on it has started comes from allocate_port() in _support/ports.py. That covers owned proxies, scripted upstreams, fake providers, OTLP sinks, database relays and Redis. A server that binds port 0 itself and keeps that socket, such as wire_server without a port, needs no allocation. Each pytest process claims a block of 200 ports between 10000 and 32767 by holding an exclusive lock file per block in the system temp directory, so two runs on one machine, such as parallel worktrees, never share a block, and the OS drops the lock when the process exits. The range sits above the fixed service ports and below the Linux and macOS ephemeral ranges, so a port-0 bind or an outbound connection never lands in a block. Ports inside a block go out in order and are never handed out twice in a run, a port that something outside the harness already holds is skipped, and a process that uses up its block claims the next free one. A test that restarts a server on the same port allocates that port up front instead of reading it back from the first server. TQ012 in scripts/check_test_quality.py rejects reading a port back from a port-0 bind anywhere under tests/integration
The CircleCI workflow starts its own database and Redis, restricts test-phase egress to its owned services and writes JUnit plus an executed-node manifest. Missing setup, failed cleanup or a selected test with neither a passed call nor a skip fail qualification. Skipped nodes are listed under skipped in execution.json, so the skip reasons double as the open bug list. GITHUB_FILES in run.py lists the files excluded from the run_integration.sh selection
There is no hand-maintained list of test cases. A positional argument is a file of the group or a pytest node id inside one (path::test[param]), so one cell of a parametrized file can run alone. The runner fails only when pytest fails, when collection errors, or when a selected file collects zero tests. Older tests still carry @pytest.mark.covers(...) decorators; the marker stays registered so they collect, but the IDs are not checked against anything and new tests should not use it. The GitHub Actions coverage census reads the GROUPS literal in run.py and treats every tests/integration/<directory>/test_*.py file in a scheduled group as owned by CircleCI
Provider sentinels currently use the controlled server, not live recordings. The provider shard also runs the existing strict replay controls for changed requests, exhausted interactions, leftover interactions and no provider connection. Future recorded scenarios must use that replay-only implementation; missing recordings cannot fall back to a real provider. GET /__observations returns every request the upstream recorded since the last DELETE /__observations, and reading it never clears it. An autouse fixture resets it before each test, so a test that needs a clean slate between phases sends the DELETE itself. A check that a request never reached the upstream asserts on the same read that shows a request sent after it did reach the upstream, so the absence cannot pass on an empty or reset log
Translation tests in translation/ compare exact provider requests and LiteLLM responses against a shared fake provider; translation/README.md has their rules
Fixtures must contain synthetic data only. Keep private incident records and source documents out of code, fixtures, logs and PR descriptions
Database cases own their temporary schemas, roles, constraints and proxy processes. They prove reader-versus-writer execution with PostgreSQL lock observations, exercise real transaction wait limits and verify rollback after a reached database failure
Accounting cases compare persisted input and output cost components against literal rates, including zero and default prices. Cache state models assert actual upstream calls, response identity and every persisted charge. Generated accounting tests have a 180-second test limit to accommodate the asynchronous spend writer
Provider contracts exercise actual TCP requests with synthetic credentials and local protocol peers. The S3 verifier uses independently implemented equations, a published known-answer vector, a fixed signing clock and deliberately invalid signed requests. Bedrock cases clear ambient AWS credential sources and check the literal model path, loaded role references, STS requests and bearer-only behavior
CircleCI runs providers on four isolated nodes using its file timing splitter. Each node owns its services. The dependent providers coverage job verifies all four execution records against the candidate case inventory and rejects missing, duplicate, failed or incomplete execution. The node's assigned filenames are saved in node-files.txt beside its execution record
Streaming checks send real HTTP transfer chunks, including one-byte partitions, fragmented tools, incomplete transfers and a cancellation barrier. They assert meaningful text, tool arguments, final usage and persisted cost. The Redis recovery case owns a separate database and Redis process, uses the supported one-second circuit-breaker recovery setting, waits for the real subscriber and verifies response data in Redis after restart. CircleCI reuses its existing Redis image for that extra process; it never pulls an image during tests
The messages_endpoint/ directory holds /v1/messages endpoint contracts: native-provider backends under providers/ (anthropic, bedrock, gemini) and the translation bridges (responses_bridge, chat_bridge) at the top level. It runs in the providers shard; run.py selects test files recursively under each scheduled directory
The sdk shard exercises the SDK's own HTTP clients against local protocol peers with no gateway in the path, so a case here fails only when the client library or its wire behavior changes. The HTTP/2 case runs a hypercorn TLS peer offering h2 and http/1.1 over ALPN, drives the sync and async httpx handlers at it with LITELLM_HTTP2 off and on, and asserts the version both the client and the peer observed on the wire. Put a test here only when it needs no proxy or database. CircleCI starts a local Redis for this shard like the others, so SDK-side caching cases that need a real Redis server belong here too; a case that reaches the gateway belongs in one of the other shards
The extensions shard uses the built-in generic callback and guardrail transports. It checks callback correlation and credential exclusion, guardrail rewriting and denial, retained OpenAI consumers and A2A wire versions. CircleCI runs it on eight xlarge nodes using its file timing splitter. Each node runs its assigned files with four pytest workers, each owning its database, Redis, upstream and proxy. The dependent coverage job verifies all eight execution records against the candidate case inventory. Tests must not assume a particular set of sibling files
The security shard uses four pytest workers on an xlarge machine, each with its own isolated services like every other multi-worker group. Route sweeps use a new HTTP client for every call and share only the TLS verification context, so authentication and response cookies cannot cross callers. The canary rig supplies owned OpenAI and Anthropic endpoints and synthetic credentials and rejects attempted external egress
The two mcp nodes own separate services and use the same case census as providers and extensions. Their coverage data is combined into one MCP report after both nodes finish. Each node runs the MCP gateway against SDK peers owned by each test (_support/mcp.py): streamable HTTP, SSE and stdio peers, an OpenAPI-spec app, and an OAuth 2.1 authorization-server double. Every peer records the requests it receives so a test can assert what reached the peer, not only what the proxy answered. The shard runs with INTEGRATION_WORKERS set and with INTEGRATION_COVERAGE=1, which starts every worker's proxy and peer under coverage run --parallel-mode limited to the MCP modules and stores coverage.txt plus an HTML report with the job artifacts. mcp_coverage.toml measures lines through sys.monitoring, because the CPython 3.12 trace function that branch measurement needs made a covered proxy take about four times as long to become ready. A test that fails because the product is wrong is skipped with pytest.skip("BUG: <symptom>") so the skip list in execution.json is the open MCP bug list
Browser contracts live in tests/e2e/ui/tests/integrationCritical and run only through tests/e2e/ui/integration.config.ts. The expected browser results are listed in expected.json in that directory and checked by .circleci/scripts/verify_integration_browser.py. The CircleCI browser shard builds the checked-out dashboard, starts the owned proxy with that build, and verifies one exact browser result without retries or skips. The default Playwright selection excludes this directory. The focused project flow asserts the submitted create and clear values, fresh SQL state and actual blocked/restored serving while preserving model restrictions
Two always-on -replica CircleCI jobs (management, database) run their groups in replica mode, where every proxy connects through a real litellm_writer role and a real read-only litellm_reader role against the same PostgreSQL. Nothing is captured there: the job passes when the tests pass, and a write routed to the read-only reader fails the test that issued it. A deeper check runs on demand as the routing_parity workflow, triggered through the CircleCI API v2 pipeline endpoint on the PR branch with {"parameters": {"routing_parity_base": "<40-hex merge-base sha>"}}. The workflow fans out over the seven groups, and each routing-parity-<group> job runs its own group twice against the same test harness, once with litellm/, enterprise/, and litellm-proxy-extras/ checked out from the base revision and once from the head, with a pytest plugin snapshotting pg_stat_statements into routing-observed.json per side. The check step then compares the two observations and writes routing-diff.txt: a statement seen on both sides fails when its role set changed, globally or for the same test (per-test capture is skipped under xdist), unless it is listed in tests/integration/routing/either_role.json, where each entry names the statement and a one-line reason it legitimately runs on whichever role asks for it, printed under == either role ==. Queries seen on only one side are listed, never failed, pg_stat_statements evictions and a role that never ran a statement are failures