* ci: run the unit_selection.sh shard files on every event instead of only fork pull requests
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* ci: rename fork-flag to unit-flag now that it applies on every event
* test: move tests/test_litellm root and small trees into tests/unit
Pure renames, no content changes. Follow-up commits in this PR fix
references, merge the three files that already existed in tests/unit,
keep live-provider tests in tests/test_litellm and wire CI.
* test: carry tests/test_litellm conftest isolation into tests/unit
Callback lists, routing fallbacks, cached HTTP clients, logger state, AWS,
proxy-URL and keychain env, and session-end client cleanup now reset for
unit tests too. The environment isolation owns its MonkeyPatch so a test's
own monkeypatch is undone before the model-cost teardown runs.
* test: merge, split and prune the moved root and small-tree tests
Merge batches/test_batch_utils.py and the chat_completions and messages
dispatch tests into the files that already existed in tests/unit. Keep
the live Gemini interactions tests, the async image-fetch format test and
the OpenAI embedding scorer test in tests/test_litellm since they need
real network or keys. Put test_router.py under tests/unit/test_router so
the existing package no longer shadows it. Delete eight tests the audit
found superseded by stronger ones kept in this move.
* ci: run the moved root and small-tree tests under their legacy flags
Add the misc and responses-caching-types flags to unit_selection.sh and
CircleCI, extend enterprise-routing and mcp-integration, and point the
legacy GHA shards, Makefile, redis-compat workflow, merge smoke manifest
and change classifier at the new paths.
* test: make the new tests/unit directories packages
tests/unit/test_package_layout.py requires every directory to carry an
__init__.py, and without one the moved and retained
test_litellm_responses_bridge.py modules collide on import.
* test: scope the unit socket block to tests/unit in shared sessions
The GHA shards collect the legacy test-path and the unit selection in one
pytest session. The unit conftest's loopback-only block leaked into legacy
modules that reach the network at import. The legacy conftest now lifts the
restriction at collect and setup time, and the unit conftest re-applies it
when collecting its own modules.
* test: move tests/test_litellm/llms into tests/unit/llms
Rename-only. Moves the provider tests and the fine-tuning fixtures they
load, mirroring the old paths. Follow-up commits merge, split and wire them.
* test: merge, split and prune the moved llms tests
Merges the Databricks chat transformation tests into the existing unit
file, keeps the tests that need real keys or the network in
tests/test_litellm, deletes the audited tests a stronger unit test
already covers, and points imports at tests.unit.llms.
* ci: run the moved llms tests under their legacy flags
The Vertex AI and All Other Providers shards keep their legacy test-path
for the retained files and add the llm-vertex-ai and llm-other-providers
unit selections. CircleCI gets matching unit jobs.
* test: make the tests/unit/llms directories packages
Adds __init__.py to the moved dirs and drops the legacy ones whose
directories no longer hold tests.
* test: drop script runners and path hacks the llms split left dangling
The __main__ runners in the split openai_like files and the Databricks e2e
runner called tests that now live in the other half of the split or were
deleted. The retained legacy halves also no longer need sys.path edits.
* test: give the shard-script tests their own GITHUB_OUTPUT
They only passed where the runner set it. The CircleCI unit job's env
allowlist drops it, so the script's redirect failed there.
* test: point the router and module-deletion checks at tests/unit
router_code_coverage and code_qa_check_tests only searched tests/test_litellm,
so the moved router tests no longer counted. The two silent-experiment tests
the audit deleted were the only direct callers of those methods; they are
replaced with tests that assert the forwarded shadow request and the
recursion guard.
* test: keep the Databricks manual e2e runner and fix the SageMaker Nova run path
The Databricks e2e file is a manual script whose main() calls the tests
that were pruned, so pruning them broke the documented run. It is back to
its main version. The SageMaker Nova docstring now points at the file's
real location in tests/local_testing.
* test: keep the job's UNIT_FLAG out of the shard-script tests
---------
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* feat(langfuse): migrate the sdk callback to langfuse v4
Replace the v2 trace()/generation()/span() calls with SDK v4 observations exported over OpenTelemetry, with one isolated tracer provider per Langfuse credential set, a discarding exporter for mock mode, and v4 trace and observation id normalization. Keeps the session-header trace provenance logic from main so each call under a session alias still gets its own trace
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): drop the always-true prompt client check now that v4 get_prompt is non-optional
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(langfuse): isolate the e2e sync test from cached clients and log the real sdk major
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(langfuse): type the slack trace-url lookup and drop dead v2 test shims
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(slack): cover the langfuse trace url built from the logger host
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* build(docker): pin langfuse to the locked 4.15.2 in the pip image
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): hash all-zero trace and observation ids instead of passing them through
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* feat(langfuse): honour caller generation ids and assert v4 OTLP exports in legacy tests
v2 accepted generation(id=...). v4 derives the observation id from the OTel
span id, so the isolated tracer provider now carries an id generator that
hands out the id start_generation asked for through a context variable, and
the callback passes the resolved generation_id metadata into it.
The legacy e2e suite patched httpx.Client.post and compared v2 ingestion
batches; it now patches requests.Session.post, decodes the OTLP protobuf
and compares the exported generation against regenerated fixtures. The
local readback test replaces the removed get_generations() with
api.observations.get_many() and polls Langfuse Cloud instead of sleeping.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(langfuse): read the sdk version header from package metadata
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): propagate trace_metadata as trace-level attributes in v4
v2 wrote trace(metadata=...) onto the trace object. In v4 the trace only
carries what the observations propagate, so a continuation request with
update_trace_keys=["trace_metadata"] updated the generation's metadata
while the trace kept its stale values. Coerce each entry to the SDK's
string limit and hand it to propagate_attributes(metadata=...).
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): propagate interrupts raised during deferred client teardown
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): honor ssl_verify=False and SSL_VERIFY on the v4 OTLP exporter
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): fall back to the default CA when the configured bundle path is missing
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): renew the client when eviction lands before the callback lease
The cache can evict a logger between handing it to the callback and the callback taking its
lease. Such a lease now hands back a fresh client acquired through the same parameters, so that
callback exports through a live tracer provider instead of one teardown already shut down.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): emit litellm_call_id and response_id as generation metadata
v2 put the provider response id inside the generation id. v4 observation ids are 16 hex chars derived from that string, so the ids move to generation metadata to keep generations searchable by response id
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(langfuse): read the response id through a typed protocol
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): do not claim trace root when continuing an existing trace
Langfuse derives a trace's name and I/O from any observation flagged
langfuse.internal.as_root, so a request carrying existing_trace_id
renamed the trace to the generation name and replaced the trace input
and output on every continuation. v2 only updated the keys listed in
update_trace_keys. Continuations now export as plain children of the
remote parent and keep the explicit langfuse.trace.* attributes for the
fields they do want changed.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): iterate lease renewal instead of recursing, monkeypatch update_trace_keys flag in tests
The recursive lease fallback tripped tests/code_coverage_tests/recursive_detector.py; the renewal
candidates are now walked with itertools.chain. The six update_trace_keys tests set the litellm
global through pytest monkeypatch so the TQ008 budget stays within its ceiling
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): retry raised OTLP exports and honor LANGFUSE_TIMEOUT
The OTLP http exporter only retries 429 and 5xx; a connect or read timeout
propagates and BatchSpanProcessor drops the batch. Wrap the exporter in
RetryingSpanExporter (three backoff retries, as the v2 consumer did) and
build it on every path so the default and private-CA deployments share the
same channel, timeout and retry behaviour
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): sample on a hash of the full trace id and tolerate bad LANGFUSE_SAMPLE_RATE
TraceIdRatioBased reads the low 64 bits of the trace id. litellm trace ids are
UUIDs, whose variant bits sit at the top of that word, so every fractional rate
up to 0.5 dropped all traces. A SHA-256 of the full id gives an unbiased,
deterministic decision. Values outside [0, 1] or non numeric now warn and export
everything instead of raising during callback construction, which surfaced as a
500 on the first request of each worker
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): put the Langfuse trace link back into Slack alerts
The proxy registers LangfusePromptManagement for callbacks: ["langfuse"], so the alert helper never saw the literal "langfuse" string and returned before looking up the trace id, and the prompt management logger never stored the trace id it got back from log_event_on_langfuse. Recognize LangFuseLogger instances in the callback list, record the returned trace id in the shared service trace id cache, and skip the link when no trace id arrives
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* chore(deps): relock langfuse 4.15.2 and opentelemetry 1.33.1 on current main
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* chore(langfuse): mark the deliberate blind except in client teardown for the strict ruff gate
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(langfuse): pass the resource attributes mapping straight to Resource.create
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): warn about ignored UPSTREAM_LANGFUSE_* on the shared client init path too
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): normalise the OTLP export path so a trailing host slash never yields a double slash
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): nest guardrail and grounding spans under the generation
Langfuse v4 derives the trace name and I/O from every observation marked as_root, and the one with the latest start time wins. Guardrail and grounding spans used to claim root next to the generation, so a post_call guardrail could replace the model's request and response on the trace with its own. Only the generation claims root now; the sibling spans become its children
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): rebuild the cached bundle when mock mode or sample rate changes
The SDK keys resource bundles on the public key alone, so a bundle built with the discarding exporter for LANGFUSE_MOCK, or with an earlier LANGFUSE_SAMPLE_RATE, was handed back to a client that asked for a live exporter or a different rate. Compare both when deciding whether the cached bundle is still valid
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): keep trace_public true when a guardrail span is exported
Langfuse folds langfuse.trace.public across every observation in the trace and reads a missing attribute as false, so a guardrail child span without the flag turned a trace_public: true request private on Langfuse Cloud. Child spans now repeat the generation's value
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(langfuse): emit observations as plain OTel spans, keep the SDK for prompts and auth
The callback now owns an isolated TracerProvider and OTLP exporter and builds generation and child spans with public OpenTelemetry APIs plus the LangfuseOtelSpanAttributes constants. Caller trace ids, generation ids, parent observation ids and historical start and end times are honoured through the OTel id generator, remote SpanContext and explicit span timestamps, so no private Langfuse SDK tracing handle is used any more. The Langfuse client stays only for get_prompt and auth_check
This also resolves the gauntlet findings on the previous draft: fresh traces start from an empty context so caller application spans are never stamped, the Slack trace link is read from the request logging state instead of constructing a logger per alert, a truthy non-mapping trace_metadata is serialized instead of raising, trace_input and trace_output land on the root generation, discarding a cached client is done under the lock, and the prompt cache no longer leaks a task manager because the client cache no longer tears down shared providers
Fixtures under tests/logging_callback_tests lose the SDK-private langfuse.internal.as_root marker; every other exported attribute is unchanged
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): hand the SDK client a validated sample rate so an unusable LANGFUSE_SAMPLE_RATE no longer breaks the callback
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): gate the SDK version before importing the OTel module in prompt management
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): flush every export channel on proxy shutdown and use the callback's host in Slack trace links
The shutdown hook imported litellm.utils.langFuseLogger, a global the callback registry never assigns, so a graceful restart dropped the spans still queued in the batch processors. Shutdown now calls flush_langfuse_tracing, which force-flushes every acquired channel. The Slack alert link falls back to the registered LangFuseLogger's langfuse_host when the request carries no dynamic host, and the export endpoint tests pin that scheme-relative or absolute LANGFUSE_OTEL_TRACES_EXPORT_PATH values stay on the configured host
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): store resolved credentials on LangfusePromptManagement
The Slack alert trace link reads langfuse_host from every registered LangFuseLogger. Prompt management subclasses it without calling the parent constructor, so it never set the attribute and the alerting handler crashed before posting
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): flush every export channel concurrently under one shutdown deadline
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): flush export channels on daemon threads so a stuck channel cannot hold up interpreter exit
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): own the tracer config and drop the SDK client for prompts and auth
The callback's TracerProvider now sets its sampler, span limits and id generator explicitly so unrelated OTEL_* variables no longer change what Langfuse receives, and trace metadata is written once on the trace instead of folded into the generation, which kept input and output under the attribute cap. Spans are emitted under the langfuse-sdk scope so Langfuse renders them natively, the batch processor queues 100k spans and honors LANGFUSE_FLUSH_AT, and the proxy shutdown flush runs off the event loop with a 10s deadline and logs a miss.
Prompts, auth_check and the project id now go through LangfuseAPI directly with a litellm-owned TTL cache, so no Langfuse() client is built and a host application's client on the same public key is left alone. Dead attributes, the unreachable exporter branch and the export list are cleaned up, and the client-budget eviction behavior is documented.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(langfuse): export OTLP spans and fetch prompts through litellm's HTTPHandler instead of a private requests session
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): gate the SDK version before importing the tracing module and retire unheld export channels
An installed v2 SDK used to fail inside the langfuse_sdk import and surface as "Langfuse not installed"; the version check now runs first so v2 users get the upgrade message, and only PackageNotFoundError means the package is missing
Export channels are now leased per credential set: acquire adds a holder, LangFuseLogger.stop (called by DynamicLoggingCache on expiry) releases one, and a channel with no holders is flushed and shut down after a 60 s grace, so rotating key or team credentials no longer grows one batch thread per credential set for the life of the process
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): end the generation when a child span fails, take the client slot last, keep prompt cache keys structured
Generation spans now end in a finally block so a bad guardrail or provider entry cannot strand the trace. The logger acquires its export channel and REST client before counting a client slot and releases the channel synchronously if the REST client fails to build, so retries after a bad config do not exhaust the budget. LANGFUSE_TIMEOUT accepts decimals for the REST client like it already did for OTLP export. The prompt cache keys on (name, version, label) so a missing label and the literal label None stay apart
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): claim the cache entry before releasing its slot and channel hold on eviction
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): coerce generation names, keep v2 release, timeout and retry defaults, refresh stale prompts off the loop
A non-string metadata generation_name reached the OTLP encoder and took the whole batch down; it is now exported as its text and the exporter drops only the span the encoder rejects. LANGFUSE_RELEASE falls back to the deploy platform's commit variable again, the export deadline is back to the v2 default of 20 s and LANGFUSE_MAX_RETRIES sizes the retry ladder. An expired prompt is served at once while one background thread refreshes it, a re-acquired export channel cancels the pending retire timer, and flush reports delivery rather than a drained queue
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(proxy): assert the current Langfuse shutdown flush warning
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): keep host OTel resource out, carry big metadata ints, tolerate bad flush and TTL env, stamp trace I/O under a parent
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): name a malformed prompt cache TTL before the SDK import, keep metadata ints JSON safe, retry every 5xx export
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): name the auth check failure, split a 413 export, wire LANGFUSE_DEBUG, stamp error output under a parent, send the ingestion version header
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): honor LANGFUSE_DEBUG on the callbacks path, cap retry backoff, name the auth failure status and body
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): cap LANGFUSE_MAX_RETRIES at 1000 so an absurd value cannot stall callback init
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(langfuse): fold 413 halving into bounded rounds instead of recursion
The code-quality recursive-function gate flagged LangfuseSpanExporter.export. A batch of n spans settles within n.bit_length() halving rounds, so the split is a reduce over a frozen round state with the same posts, logs and results. The TTL gate test now asserts the gate returns without raising
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): truncate a single oversized span like v2 instead of dropping it, no retries on REST auth and project lookups
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): write the metadata truncation marker under a flattened key so Langfuse keeps it
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(langfuse): patch the HTTPHandler export path and sync the metadata fixture and lease registry with the v4 callback
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(langfuse): give the 413 split helpers a single explicit return path
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): url-encode prompt names and fetch cold prompts without client retries
A cold get_prompt runs inline on the event loop; the generated v4 client's default two retries slept through
Retry-After (up to 60 s per attempt) and held the loop. The wrapper also passed the raw name into
api/public/v2/prompts/{name}, so 'what?' fetched prompt 'what' and folder names left the route. Quote the
name with safe='' like the v4 SDK's own get_prompt and pass max_retries=0 like the projects.get calls
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langfuse): retry a cold prompt miss once and drop upstream headers from prompt errors
A cold prompt fetch makes one immediate second attempt after a 5xx or a
transport failure, as the v2 client did, still with the generated client's
sleeping retries and Retry-After handling off so the event loop never stalls.
A failed fetch raises LangfusePromptError carrying only the status and body,
so the proxy no longer forwards Langfuse's response headers to its client
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(langfuse): stub the logger in the health auth_check test instead of dialing a closed port
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(langfuse): integration test for OTLP v4 delivery and prompt fetch through a real proxy
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* build(docker): keep the pip image's langfuse and otel pins on the v2 line its litellm 1.83.0 wheel expects
The image validates the published PyPI artifact, whose langfuse callback still
reads langfuse.version, so the 4.15.2 pin broke that callback. The pins move
together with the next LITELLM_VERSION bump. Also rewords the trace_version
precedence test docstring: v2 carried two version fields, v4 has one per span
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* ci: fix the litellm-tests unit job with sysmon coverage, an env allowlist and coverage upload on failure
* test: replace key-dependent proxy, enterprise and mcp unit tests with synthetic values and integration and e2e coverage
* test: drop key reads at the legacy proxy, enterprise and mcp paths and wire the gemini pass-through split
* ci: move caching, proxy-extras, gateway and enterprise tests into tests/unit and run them from litellm-tests under their legacy flags
* ci: move caching, proxy-extras, gateway and enterprise tests into tests/unit and run them from litellm-tests under their legacy flags
* ci: fail the unit shard when circleci tests split errors
* test: drop restating comments from the gemini pass-through split
* ci: exit the unit shard cleanly when circleci tests split assigns it no files
---------
Co-authored-by: yuneng <yuneng@berri.ai>
test_ollama_image returned the request's images list as the mocked `response`
field and read it back from message content. Since #42838 the completion
transform validates `response` as a string, so the list is dropped and the test
fails with "string index out of range". Ollama always sends a string there.
The mock now returns a real string reply and the test asserts on the images the
transform actually sent, which is what it was checking all along.
* fix(redis): authenticate sync clusters with IAM credential providers
Signed-off-by: Silu Panda <31051721+SiluPanda@users.noreply.github.com>
* test(redis): exercise IAM cluster authentication over TCP
Run Azure and GCP regressions against a real local cluster with only
cloud token issuance stubbed. Build a checksum-verified Redis server
in the compatibility workflow and report its coverage.
Signed-off-by: Silu Panda <31051721+SiluPanda@users.noreply.github.com>
* test(redis): separate unit and cluster integration coverage
Keep the mapped test tree mock-only. Run the live cluster cases
from the existing local caching integration file, selected by
explicit node IDs in the Redis compatibility workflow.
Signed-off-by: Silu Panda <31051721+SiluPanda@users.noreply.github.com>
* test(ci): isolate workflow coverage audit fixtures
Replace the stale unrun caching-file assumption with isolated workflow
fixtures for file and node-ID selectors. Keep the unnamed-file negative
check and clarify which live caching cases remain outside CI.
Signed-off-by: Silu Panda <31051721+SiluPanda@users.noreply.github.com>
---------
Signed-off-by: Silu Panda <31051721+SiluPanda@users.noreply.github.com>
Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix: repair seven regressions caught by CircleCI on main
- vertex_ai: stop treating fine-tuned endpoint ids (numeric or
vertex_ai/gemini/<id>) and gemma models as Gemini 3+, which injected
temperature=1.0 and Gemini 3 thinking config into their requests (#42465)
- cost: price Azure DALL-E 3 from its azure/<quality>/<size>/dall-e-3 rows;
it only worked through the OpenAI rows that #42435 removed
- bedrock: stream bedrock/invoke/moonshot through an OpenAI-shaped chunk
decoder; the generic decoder dropped every chunk, which the
supports_response_schema flag from #42338 un-skipped in CI
- proxy: keep the public model_group on pre-routing rejections so the Usage
page groups them under the model name, not the deployment (#41077)
- cost map: mirror the base rows' capability flags onto Bedrock regional and
cross-region copies (#42254 and later syncs)
- whitelist the new regional Bedrock rows from #42543 and #42588 for the
converse routing check, following the existing regional-row convention
* fix(model-prices): mirror capability flags onto ap-southeast-3 bedrock rows
* refactor(bedrock): tighten types on the moonshot stream decoder and its tests
#42435 removed the OpenAI dall-e-3 cost-map row that
test_dalle_3_azure_cost_tracking pinned, and Azure retired DALL-E 3
inference on 2026-03-04, so the test now mirrors a real Azure
gpt-image-2 response and derives the expected cost from the cost map.
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
* test: point CircleCI-only suites at models still in the cost map
#42435 removed cost map entries past their deprecation date and #42437 added
litellm_uisettings to the config-synced tables, but both only updated
tests/test_litellm. The CircleCI-only suites (local_testing, llm_translation,
logging_callback_tests, litellm_utils_tests, unit) kept using the removed
models or the old table list and went red on main.
Each test keeps its assertions and swaps the removed model for a current one
with the same provider and capabilities. The fireworks tests pick a vision
model from the cost map because #34941 set supports_vision false on
minimax-m3, and the vertex image provider test injects the image model set
because #42435 removed every vertex_ai-image-models entry.
* test(vertex_ai): register the image model through add_known_models in the provider test
#42521 retired the cohere.command-r ids from the cost map, and a bare Bedrock id resolves its provider through that map, so test_model_group_info and the cohere cases in test_bedrock_dynamic_auth_params_unit_tests failed with LLM Provider NOT provided. The completion tests keep the cohere invoke request and URL assertions through the bedrock/ prefix, the bare parametrize entry moves to amazon.nova-2-lite-v1:0 with the mock response shape picked by the real Bedrock route, and the router test builds its group info from bedrock/amazon.nova-2-lite-v1:0.
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
* test(vcr): guard leaked cassette patches and make injected-transport embedding tests immune
* test(vcr): derive the leak guard's patch points from vcrpy's own reset list
* test(vcr): share CapturingTransport and switch the encoding_format embedding test to it
---------
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
The install smoke test starts the proxy on test_config_no_auth.yaml, which has no master key on purpose, and #42019's boot check now refuses that, so the three installing_litellm_on_python jobs have been red on main since 2026-09-20. Pass the documented local-dev override to the proxy child so the test keeps its no-auth config and the boot check stays as it is
The Postgres-backed smoke job previously exercised one resolver. Running
the default and the legacy variants in it covers v2 now that it is the
default, without losing v1's coverage.
The migrations Job entrypoint (migrations/run.py) has defaulted to v2 with
USE_V2_MIGRATION_RESOLVER=false as the opt-out, and the Helm chart documents
that knob. Proxy startup still defaulted to v1, so the two paths disagreed
about which resolver a deployment runs.
Proxy startup now resolves the same way: v2 unless USE_V2_MIGRATION_RESOLVER
is false or --use_legacy_migration_resolver is passed.
- --use_v2_migration_resolver stays accepted as a no-op that warns, so
existing commands and Helm values do not fail on an unknown option.
- The dedicated Postgres smoke-test job is repointed at the legacy resolver
so v1 keeps real-DB proxy-boot coverage, and the two jobs that deselected
it by name are updated to match the rename.
#39178 reverted an earlier flip because two replicas sharing a database
deadlocked (40P01 / P3018) with neither answering /health/liveliness. That
contention is what #40932 coordinates, which is why this builds on it.
Regenerated every touched file from origin/main applying only the B1 test deletions and the unused import and helper cleanup they leave behind, without running the formatter across untouched code. CI only checks ruff format under litellm/, so the earlier reflows of test files were pure diff noise for reviewers
Also drops the tests/local_testing/test_prompt_caching.py entry from the caching-local shard in test-unit.yml since that file is deleted
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
The repo rule is that a test must only fail when litellm code changes, never when a vendor updates a price, renames a field, or drops a model. These tests asserted shipped catalog entries directly, comparing lookup results to literals copied from model_prices_and_context_window.json or requiring named entries to exist or be absent, so every cost map sync could break them without any litellm code changing
Tests that exercise real litellm behavior with an injected local model_cost, invariants like backup parity, and assertions on non-lookup code paths are untouched
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Replace the per-deployment asyncio.Semaphore with MaxParallelRequestsLimit, which admits a call synchronously or raises the router's RateLimitError (429) right away. Nothing waits for a slot any more, so the max_parallel_requests_queue_size and default_max_parallel_requests_queue_size settings from the earlier commits are dropped along with their proxy validation, dashboard control and generated schema entries. The rpm/tpm derivation of the cap is unchanged. Every router endpoint family now enters the slot through one _deployment_slot context, and the provider coroutine is only created once the slot is held
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
test_router_fallbacks_with_cooldowns_and_dynamic_credentials expected a
caller-supplied credential to register its own deployment and cool it down.
#41289 stopped registering it, so cooldown logic skips that id and the
assertion can never hold. The test now asserts what the router guarantees
today: a 429 to a forwarded credential cools down none of the shared
deployments, the next credential is still served, and a 429 owned by a shared
deployment still cools it down. The final live OpenAI call becomes a mock
The auto-router template spec assumed the Add Auto Router form left room
below the Template select at 1280x900. #41315 added classifier fields above
it, so the options opened upward. The spec now scrolls the trigger to the top
of the dialog and asserts it sits in the upper half before checking placement
Every one of these fails on main's own scheduled CircleCI run with the same
assertion as on any PR, and each traces to a merged behavior change that
never updated the test that pinned the old behavior
- tests/integration/_support/client.py: #41311 made /key/info serve deleted
keys from the archive with status deleted, so the scenario teardown asserts
the live row is gone and the readback reports deleted instead of a 404.
This alone accounts for nine integration-management and one
integration-providers failure
- tests/integration/authorization/test_warmed_policy.py: #39996 made team
admins unable to edit any team field unless a proxy admin allow-lists it,
and tpm_limit is the only field it accepts today. The demotion test now
enables tpm_limit for the scenario and edits that instead of team_alias
- tests/llm_responses_api_testing/test_base_responses_api_streaming_iterator.py:
#41337 reads usage off the terminal response and copies the event when it
is missing, which a Mock(spec=ResponsesAPIResponse) cannot survive. The
four mocks now carry a usage object
- tests/test_openai_endpoints.py: #41310 lengthened the access-denied
message, and the test matched against the ExceptionInfo repr, which
saferepr truncates in the middle. It now matches the exception text
- tests/local_testing/test_text_completion.py: Together no longer serves
Qwen2-1.5B serverless, the cheapest cost-map row. The test mocks the
completions call and asserts the request litellm builds, so a vendor
catalog rotation cannot fail it again
test_router_fallbacks_with_cooldowns_and_dynamic_credentials is deliberately
untouched: it passes and fails on main with identical code, and the failing
path is a product question about whether dynamic-credential 429s cool down
CI runs these lanes as `python -m pytest` from the repo root, so the root is
already on sys.path and `tests._live_test_helpers` imports without help. The
insert only tripped the TQ003 test-quality budget.
`together_ai/openai/gpt-oss-20b` was hardcoded in two live tests and is no
longer served, so both failed on a vendor catalog change rather than on
anything litellm did.
Both call sites now resolve the cheapest non-deprecated together_ai chat
entry at runtime, filtered on the capabilities the tests actually exercise,
mirroring what tests/e2e/llm_translation/test_together_ai_e2e.py already
does. The selector lives in tests/_live_test_helpers.py so both lanes share
one implementation.
Together moved openai/gpt-oss-20b off serverless and three tests in
test_completion.py died on a live 400. None of them needed Together to be up:
streaming is already covered live by tests/e2e/llm_translation/test_together_ai_e2e.py,
which picks its model from the cost map instead of pinning one, and the other
two are request-shape questions. Delete all three and assert the two shapes in
the mapped transformation file: the provider prefix is stripped without eating
the rest of a slashed model name, and custom role wrappers never reach the
request.
Together moved openai/gpt-oss-20b off serverless, so three tests started
failing with a 400 model_not_available from the live API. None of them was
really testing Together: they cover provider-prefix parsing, prompt shaping
and streaming, all litellm side. Mock the transport and assert those, so the
tests answer to our code instead of a vendor catalog.
simple_shuffle logs the selected deployment at INFO whenever a weight set
applies, so the fallback group's selection line lands between the fallback
notice and the success notice and pushed the notice out of the tail-3 window.
Filter it the same way the neighbouring get_available_deployment noise is
already filtered.
_handle_clientside_credential registered the per-request Deployment it built for
a client-supplied api_key/api_base via upsert_deployment, which added it to
self.model_list under the shared model_name. That made a request-scoped
credential a permanent, load-balanced deployment that any later caller of the
same model group could be routed onto, reaching the provider with someone
else's forwarded credential.
The per-request Deployment still gets its own stable id for cooldown and
logging identity; it is just never registered with the router.
Resolves LIT-7811
A converted-stream request whose cache entry is a plain (non-stream) object is
replayed as that plain object, so nothing later fires the success callbacks.
Decide deferral from the replayed result's type instead of the request kwargs.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(router): rank streaming latency routing by raw TTFT, not TTFT per token
Latency-based routing divided time-to-first-token by completion_tokens
before storing it, so a deployment that streamed a long answer looked
faster to first token than one that answered briefly. TTFT is now stored
as plain seconds (first token time minus request start) in both the sync
and async success handlers, which is what the routing decision compares.
Non-streaming latency normalization per output token is unchanged.
Claude-Session: https://claude.ai/code/session_01Ttd5Q9ZhRPB4ch5guos3rj
* fix(router): store streaming TTFT under a seconds-only cache key
Workers on the previous release keep writing seconds-per-token samples
under "time_to_first_token" in the shared router cache during a rolling
deploy, so mixing the new raw-seconds samples into the same list averaged
incompatible units. Raw TTFT now lives under "time_to_first_token_seconds"
and routing reads only that key.
Also fix the regression test's token counts: with 50 tokens on the fast
deployment and 500 on the slow one the old per-token formula picks the
slow deployment, so the routing assertion now catches the bug.
Claude-Session: https://claude.ai/code/session_01Ttd5Q9ZhRPB4ch5guos3rj
* test(router): cover the TTFT sliding window from the unit-test shard
Move the TTFT list trimming checks from the CircleCI-only suite into the
mapped unit test file as one sync/async parametrized test, so the changed
lines in lowest_latency.py are exercised by the GitHub unit-test shard
that reports patch coverage.
Claude-Session: https://claude.ai/code/session_01Ttd5Q9ZhRPB4ch5guos3rj
