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17 commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
yucheng-berri
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e319bf270c
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feat(langfuse): migrate the sdk callback to langfuse v4 (#36741)
* 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>
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Yuneng Jiang
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feffb62266
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test: refresh the suites that drifted from langfuse and OpenAI's retired Assistants API
Two unrelated causes, both leaving staging red with tests that no longer describe anything true. #38264 gave LangFuseLogger a langfuse_environment argument and started carrying it in the credentials dict. The handler test's fake logger did not accept the new keyword, so constructing it raised TypeError, and four cases in test_langfuse_unit_tests rebuilt the cache key by hand from three fields and missed on the four-field key production now writes. Caching itself was never broken: the handler sets and gets with the same dict. The fake now takes the argument and asserts it is forwarded, and the cache assertion issues a second identical request and expects the same logger back, which is the behaviour that matters and cannot rot the next time a credential field is added. OpenAI has retired the Assistants API. /v1/assistants and /v1/threads both answer 404 with a valid key, where every live route answers 401, so nothing calling them can pass again. test_custom_logger_passthrough covered generic passthrough logging and only used assistants because it is a route with no provider-specific handler; it moves to /v1/moderations, which is still unclaimed by _is_supported_openai_endpoint, so the same generic branch is exercised. The two tests there asserted the same thing against different dead routes, so they collapse into one. The Ruby suite existed solely to drive assistants, threads, messages and runs, so it goes along with the RVM and bundler steps that were installed only to run it, and the two dead OpenAI assistants cases leave test_openai_assistants_passthrough. The Azure assistants case in that file stays. Azure runs its own lifecycle and I could not reach the CI deployment to check whether that API is still there. |
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yuneng-jiang
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6a0d03914c
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test: drop the cwd-relative sys.path.insert calls from the test suite (#37802)
* test: drop the cwd-relative sys.path.insert calls from the test suite
TQ003 stands at 1,077 across 1,058 files, and 1,015 of them are the same shape:
sys.path.insert(0, os.path.abspath("../..")) and its deeper siblings. The
argument resolves against the working directory rather than the file, so from
the repo root, where every job runs pytest, it inserts the directory two levels
above the checkout. It has never pointed at litellm. The package is installed
into the environment anyway, which is what actually makes the import work, and
what the rule's message has said all along.
Removing them leaves 1,634 imports of sys and os with no remaining reference,
and those go too, except where another test module imports the name back out of
the file. The rest of TQ003 is 62 call sites that resolve against __file__ or a
variable, which are a different question and are left alone.
Collection is identical either way: 45,871 tests and the same 51 pre-existing
collection errors before and after, and ruff reports no new undefined name.
* test: drop the duplicate imports the sys.path sweep exposed to F811
* test(pre-call-utils): restore the os import the new bedrock tests need
|
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Mateo Wang
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2c733c00f5
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chore(ci): modernize model references in tests and configs (#27856)
* test: modernize models used in CircleCI e2e test suites
Replaces obsolete models (gpt-4o, gpt-4o-mini, gpt-3.5-turbo,
claude-3-5-sonnet-20240620, claude-sonnet-4-20250514) with current
equivalents across the e2e_openai_endpoints and
proxy_e2e_anthropic_messages_tests CircleCI jobs.
- gpt-4o -> gpt-5.5 (responses API e2e tests)
- gpt-4o-mini -> gpt-5-mini (websocket responses, oai_misc_config)
- gpt-4o-mini-2024-07-18 -> gpt-4.1-mini-2025-04-14 (fine-tuning,
still actively fine-tunable)
- gpt-4 / gpt-3.5-turbo target_model_names example -> gpt-5.5 /
gpt-5-mini
- bedrock claude-3-5-sonnet-20240620 batch entry -> haiku-4-5-20251001
(also aligning oai_misc_config model_name with what
test_bedrock_batches_api.py actually requests)
- bedrock claude-sonnet-4-20250514 (deprecated, retires 2026-06-15)
-> claude-sonnet-4-5-20250929
* test: point bedrock-claude-sonnet-4 alias at Sonnet 4.6, not 4.5
Greptile/Cursor flagged that after the previous commit, the
bedrock-claude-sonnet-4 alias collided with bedrock-claude-sonnet-4.5
(both pointed to claude-sonnet-4-5-20250929). Rename to
bedrock-claude-sonnet-4.6 and point it at the Sonnet 4.6 Bedrock ID
(us.anthropic.claude-sonnet-4-6, already in the litellm model
registry) so the alias name matches the underlying model version.
* test: modernize models across remaining CI-mounted configs & tests
Expands the modernization sweep to all CircleCI-mounted proxy configs
and to test directories where the model literal is a fixture/route key
(not the test's subject).
Config changes:
- proxy_server_config.yaml: bump gpt-3.5-turbo / gpt-3.5-turbo-1106 /
gpt-4o / gemini-1.5-flash / dall-e-3 underlying models; rename
gpt-3.5-turbo-end-user-test alias to gpt-5-mini-end-user-test; bump
text-embedding-ada-002 underlying to text-embedding-3-small. User-
facing aliases (gpt-3.5-turbo, gpt-4, text-embedding-ada-002, etc.)
preserved for backward compatibility with tests.
- simple_config.yaml, otel_test_config.yaml, spend_tracking_config.yaml:
bump gpt-3.5-turbo underlying to gpt-5-mini.
- pass_through_config.yaml: claude-3-5-sonnet / claude-3-7-sonnet /
claude-3-haiku entries replaced with claude-sonnet-4-5 / claude-
haiku-4-5 / claude-opus-4-7.
- oai_misc_config.yaml: align alias name with the gpt-5-mini rename.
Test changes (proactive: claude-sonnet-4-20250514 / claude-opus-4-
20250514 retire 2026-06-15):
- tests/llm_translation/test_anthropic_completion.py: bump 3 references
+ paired Vertex AI ID to claude-sonnet-4-5.
- tests/llm_translation/test_optional_params.py: bump 2 references.
- tests/pass_through_unit_tests/test_anthropic_messages_passthrough.py
and test_bedrock_anthropic_messages_test.py: bump router fixtures
using the deprecated model IDs.
- tests/pass_through_unit_tests/base_anthropic_messages_tool_search_test.py:
modernize docstring examples.
- tests/test_end_users.py: update references to renamed alias.
* test: modernize placeholder model literals in router_unit_tests
Mass replace_all on fixture/placeholder model literals across the
router_unit_tests/ suite (model name is a routing key / label, not the
test subject). Sub-agent sweep so far — additional commits will follow
for logging_callback_tests/, enterprise/, top-level tests/test_*.py,
and other CI-mounted dirs.
Mappings applied:
- gpt-3.5-turbo -> gpt-5-mini
- gpt-4 (bare) -> gpt-5.5
- gpt-4o (bare) -> gpt-5
- text-embedding-ada-002 -> text-embedding-3-small
- claude-3-sonnet-20240229 / claude-3-opus-20240229 /
claude-3-haiku-20240307 / claude-3-5-sonnet-20240620 ->
claude-sonnet-4-5-20250929 / claude-opus-4-7 /
claude-haiku-4-5-20251001 as appropriate
Explicitly preserved:
- gpt-4o-mini-* variants (transcribe, tts, etc.) where they're current
- gpt-4-turbo / gpt-4-vision-preview / gpt-4-0613 (subject literals)
- JSONL batch body literals
- Mock LLM response model fields (must match upstream)
- Fake/mock identifiers
* test: modernize placeholder model literals across remaining CI suites
Sub-agent sweep across logging_callback_tests/, guardrails_tests/,
enterprise/, pass_through_unit_tests/, otel_tests/,
llm_responses_api_testing/, batches_tests/, spend_tracking_tests/,
litellm_utils_tests/, unified_google_tests/, and a few top-level
tests/test_*.py files where the model literal is a fixture or
placeholder (router model_list, mock standard logging payload, mock
callback data) rather than the test's subject.
Mappings applied (see scope notes below):
- gpt-3.5-turbo -> gpt-5-mini
- gpt-4 (bare) -> gpt-5.5
- gpt-4o (bare) -> gpt-5.5 (corrected from initial gpt-5 — bare gpt-5
is not a valid OpenAI alias; only gpt-5.5 / gpt-5.4 / gpt-5.2-codex
/ gpt-5-mini exist)
- gpt-4o-mini (bare) -> gpt-5-mini
- text-embedding-ada-002 -> text-embedding-3-small
- claude-3-sonnet-20240229 -> claude-sonnet-4-5-20250929
- claude-3-opus-20240229 -> claude-opus-4-7
- claude-3-haiku-20240307 -> claude-haiku-4-5-20251001
- claude-3-5-sonnet-20240620/20241022 -> claude-sonnet-4-5-20250929
- claude-3-7-sonnet-20250219 -> claude-sonnet-4-6
- gemini-1.5-flash -> gemini-2.5-flash
- gemini-1.5-pro -> gemini-2.5-pro
Explicitly preserved (not modernized):
- llm_translation/ tests where model is the SUBJECT (provider-specific
translation/transformation logic). Only the deprecated 20250514
references were already bumped in a prior commit.
- Cost-calc / tokenizer subject tests in test_utils.py (skip-ranges
documented by the sub-agent).
- Bedrock model IDs in test_health_check.py path-stripping tests.
- JSONL batch request bodies and mock LLM response bodies (must match
upstream literal).
- Langfuse expected-request-body JSON fixtures (cost values are exact-
match-asserted; changing the model would shift response_cost).
- gpt-3.5-turbo-instruct (text-completion endpoint; no modern OpenAI
equivalent).
- Top-level tests calling the proxy through user-facing aliases
(gpt-3.5-turbo, gpt-4, text-embedding-ada-002, dall-e-3) — aliases
in proxy_server_config.yaml stay; only the underlying model was
bumped.
- tests/test_gpt5_azure_temperature_support.py (the test's whole point
is model-name handling).
- Fake / mock / openai/fake identifiers.
Notable side fixes:
- test_spend_accuracy_tests.py: UPSTREAM_MODEL now matches what
spend_tracking_config.yaml's proxy actually routes to (gpt-5-mini),
resolving a latent inconsistency.
- proxy_server_config.yaml: bare `gpt-5` alias renamed to `gpt-5.5`
(bare gpt-5 is not a valid OpenAI alias).
- test_batches_logging_unit_tests.py: explicit_models list entries
kept distinct (gpt-5-mini + gpt-5.5) after bulk rename.
* test: fix CI failures from model modernization sweep
CI surfaced 4 categories of regression from the bulk modernization:
1. Azure deployment names are customer-specific. Reverted:
- tests/litellm_utils_tests/test_health_check.py: azure/text-
embedding-3-small -> azure/text-embedding-ada-002 (the CI Azure
account does not have a text-embedding-3-small deployment).
- tests/logging_callback_tests/test_custom_callback_router.py:
same revert for two router fixtures driving aembedding.
2. gpt-5 family does not accept temperature != 1. Tests that pass a
custom temperature swapped from gpt-5-mini to gpt-4.1-mini (modern
non-reasoning OpenAI mini that still accepts temperature/logprobs):
- tests/logging_callback_tests/test_datadog.py
- tests/logging_callback_tests/test_langsmith_unit_test.py
- tests/logging_callback_tests/test_otel_logging.py
3. proxy_server_config.yaml's gpt-3.5-turbo-large alias was routing to
gpt-5.5 (a reasoning model that rejects logprobs). The proxy test
tests/test_openai_endpoints.py::test_chat_completion_streaming
exercises logprobs/top_logprobs through that alias. Bumped the
underlying model to gpt-4.1 (non-reasoning, still modern).
4. tests/logging_callback_tests/test_gcs_pub_sub.py asserts against a
pinned JSON fixture (gcs_pub_sub_body/spend_logs_payload.json) with
hardcoded model="gpt-4o" and a model-specific spend value. Reverted
the litellm.acompletion calls in the test to model="gpt-4o" so the
fixture's exact-match assertions still hold.
5. tests/pass_through_unit_tests/test_anthropic_messages_passthrough.py:
anthropic.messages.create routing to openai/gpt-5-mini returned an
empty content[0] with max_tokens=100 (reasoning-token consumption).
Swapped to openai/gpt-4.1-mini.
* test: fix Assistants API model + 2 cursor[bot] review nits
1. pass_through_unit_tests/test_custom_logger_passthrough.py: gpt-5.5
isn't accepted by the /v1/assistants endpoint
("unsupported_model"). Switch to gpt-4.1-mini (modern, Assistants-
API-supported, non-reasoning).
2. example_config_yaml/pass_through_config.yaml: the previous sweep
bumped the claude-3-7-sonnet alias to claude-opus-4-7, which is a
tier change (Sonnet -> Opus). Map to claude-sonnet-4-6 to keep the
Sonnet tier intact. (Cursor bugbot review.)
3. example_config_yaml/simple_config.yaml: model_name was left as
gpt-3.5-turbo while the underlying was bumped to gpt-5-mini, which
muddles the "simple" example. Make both sides gpt-5-mini so the
most basic example is a straight 1:1 mapping again. (Cursor bugbot
review.)
* fix: revert gpt-4/gpt-3.5-turbo alias underlying to non-reasoning models
tests/test_openai_endpoints.py::test_completion calls the proxy alias
"gpt-4" with temperature=0, and other tests call gpt-3.5-turbo with
custom temperature / logprobs / the legacy /v1/completions endpoint.
The earlier modernization mapped both aliases to gpt-5.5 / gpt-5-mini,
which are reasoning models that reject temperature != 1 and don't
expose /v1/completions. Map the aliases to gpt-4.1 / gpt-4.1-mini
(modern non-reasoning OpenAI models) instead — keeps user-facing
aliases preserved while picking a current underlying that still
supports the parameters/endpoints the tests exercise.
|
||
|
Harshit28j
|
d7c9ec6276 | add tests for fix | ||
|
Cesar Garcia
|
d693596e87
|
feat(langfuse): Add support for custom masking function (#17826)
* feat(langfuse): Add support for custom masking function
Allow users to pass a custom masking function via metadata to selectively
redact sensitive data (credit cards, emails, PII) before sending to Langfuse.
Usage:
```python
def mask_pii(data):
if isinstance(data, str):
data = re.sub(r'\b\d{4}[\s-]?\d{4}[\s-]?\d{4}[\s-]?\d{4}\b', '[CARD]', data)
return data
litellm.completion(
model="gpt-4",
messages=[...],
metadata={"langfuse_masking_function": mask_pii}
)
```
* fix(langfuse): Isolate masking function from other logging integrations
Extract langfuse_masking_function from metadata early in the flow and store
it in a dedicated key (_langfuse_masking_function) that only the Langfuse
logger knows to look for. This prevents the callable from leaking to other
logging integrations (Datadog, S3, etc.) which would serialize it as
"<function at 0x...>".
Changes:
- scrub_sensitive_keys_in_metadata() now extracts and stores the function
- Langfuse logger looks in the dedicated key first, falls back to metadata
- Added tests to verify isolation works correctly
|
||
|
Ishaan Jaff
|
7d47417906 | test: fixes | ||
|
Ishaan Jaff
|
86cdb8382b
|
[Feat] Use aiohttp transport by default - 97% lower median latency (#11097)
* fix: add flag for disabling use_aiohttp_transport * feat: add _create_async_transport * feat: fixes for transport * add httpx-aiohttp * feat: fixes for transport * refactor: fixes for transport * build: fix deps * fixes: test fixes * fix: ensure aiohttp does not auto set content type * test: test fixes * feat: add LiteLLMAiohttpTransport * fix: fixes for responses API handling * test: fixes for responses API handling * test: fixes for responses API handling * feat: fixes for transport * fix: base embedding handler * test: test_async_http_handler_force_ipv4 * test: fix failing deepeval test * fix: add YARL for bedrock urls * fix: issues with transport * fix: comment out linting issues * test fix * test: XAI is unstable * test: fixes for using respx * test: XAI fixes * test: XAI fixes * test: infinity testing fixes * docs(config_settings.md): document param * test: test_openai_image_edit_litellm_sdk * test: remove deprecated test * bump respx==0.22.0 * test: test_xai_message_name_filtering * test: fix anthropic test after bumping httpx * use n 4 for mapped tests (#11109) * fix: use 1 session per event loop * test: test_client_session_helper * fix: linting error * fix: resolving GET requests on httpx 0.28.1 * test fixes proxy unit tests * fix: add ssl verify settings * fix: proxy unit tests * fix: refactor * tests: basic unit tests for aiohttp transports * tests: fixes xai --------- Co-authored-by: Krrish Dholakia <krrishdholakia@gmail.com> |
||
|
Krish Dholakia
|
ab7c4d1a0e
|
Litellm dev bedrock anthropic 3 7 v2 (#8843)
* feat(bedrock/converse/transformation.py): support claude-3-7-sonnet reasoning_Content transformation Closes https://github.com/BerriAI/litellm/issues/8777 * fix(bedrock/): support returning `reasoning_content` on streaming for claude-3-7 Resolves https://github.com/BerriAI/litellm/issues/8777 * feat(bedrock/): unify converse reasoning content blocks for consistency across anthropic and bedrock * fix(anthropic/chat/transformation.py): handle deepseek-style 'reasoning_content' extraction within transformation.py simpler logic * feat(bedrock/): fix streaming to return blocks in consistent format * fix: fix linting error * test: fix test * feat(factory.py): fix bedrock thinking block translation on tool calling allows passing the thinking blocks back to bedrock for tool calling * fix(types/utils.py): don't exclude provider_specific_fields on model dump ensures consistent responses * fix: fix linting errors * fix(convert_dict_to_response.py): pass reasoning_content on root * fix: test * fix(streaming_handler.py): add helper util for setting model id * fix(streaming_handler.py): fix setting model id on model response stream chunk * fix(streaming_handler.py): fix linting error * fix(streaming_handler.py): fix linting error * fix(types/utils.py): add provider_specific_fields to model stream response * fix(streaming_handler.py): copy provider specific fields and add them to the root of the streaming response * fix(streaming_handler.py): fix check * fix: fix test * fix(types/utils.py): ensure messages content is always openai compatible * fix(types/utils.py): fix delta object to always be openai compatible only introduce new params if variable exists * test: fix bedrock nova tests * test: skip flaky test * test: skip flaky test in ci/cd |
||
|
Ishaan Jaff
|
b535c9bdc0
|
(Bug Fix - Langfuse) - fix for when model response has choices=[] (#8339)
* refactor _get_langfuse_input_output_content * test_langfuse_logging_completion_with_malformed_llm_response * fix _get_langfuse_input_output_content * fixes for langfuse linting * unit testing for get chat/text content for langfuse * fix _should_raise_content_policy_error |
||
|
Ishaan Jaff
|
dcc3bbc264
|
(Fix) langfuse - setting LANGFUSE_FLUSH_INTERVAL (#8007)
* fix langfuse flush interval * test_get_langfuse_flush_interval * test_get_langfuse_flush_interval |
||
|
Krish Dholakia
|
08b124aeb6
|
Litellm dev 01 25 2025 p2 (#8003)
* fix(base_utils.py): supported nested json schema passed in for anthropic calls * refactor(base_utils.py): refactor ref parsing to prevent infinite loop * test(test_openai_endpoints.py): refactor anthropic test to use bedrock * fix(langfuse_prompt_management.py): add unit test for sync langfuse calls Resolves https://github.com/BerriAI/litellm/issues/7938#issuecomment-2613293757 |
||
|
Ishaan Jaff
|
53a3ea3d06
|
(Refactor) Langfuse - remove prepare_metadata, langfuse python SDK now handles non-json serializable objects (#7925)
* test_langfuse_logging_completion_with_langfuse_metadata * fix litellm - remove prepare metadata * test_langfuse_logging_with_non_serializable_metadata * detailed e2e langfuse metadata tests * clean up langfuse logging * fix langfuse * remove unused imports * fix code qa checks * fix _prepare_metadata |
||
|
Ishaan Jaff
|
63d7d04232
|
(fix langfuse tags) - read tags from StandardLoggingPayload (#7903)
* fix _get_langfuse_tags * fix _get_langfuse_tags * fix _get_langfuse_tags * _get_langfuse_tags * test_get_langfuse_tags * fix langfuse |
||
|
Krish Dholakia
|
9160d80fa5
|
LiteLLM Minor Fixes & Improvements (11/12/2024) (#6705)
* fix(caching): convert arg to equivalent kwargs in llm caching handler prevent unexpected errors * fix(caching_handler.py): don't pass args to caching * fix(caching): remove all *args from caching.py * fix(caching): consistent function signatures + abc method * test(caching_unit_tests.py): add unit tests for llm caching ensures coverage for common caching scenarios across different implementations * refactor(litellm_logging.py): move to using cache key from hidden params instead of regenerating one * fix(router.py): drop redis password requirement * fix(proxy_server.py): fix faulty slack alerting check * fix(langfuse.py): avoid copying functions/thread lock objects in metadata fixes metadata copy error when parent otel span in metadata * test: update test |
||
|
Krish Dholakia
|
136693cac4
|
LiteLLM Minor Fixes & Improvements (11/05/2024) (#6590)
* fix(pattern_matching_router.py): update model name using correct function
* fix(langfuse.py): metadata deepcopy can cause unhandled error (#6563)
Co-authored-by: seva <seva@inita.com>
* fix(stream_chunk_builder_utils.py): correctly set prompt tokens + log correct streaming usage
Closes https://github.com/BerriAI/litellm/issues/6488
* build(deps): bump cookie and express in /docs/my-website (#6566)
Bumps [cookie](https://github.com/jshttp/cookie) and [express](https://github.com/expressjs/express). These dependencies needed to be updated together.
Updates `cookie` from 0.6.0 to 0.7.1
- [Release notes](https://github.com/jshttp/cookie/releases)
- [Commits](https://github.com/jshttp/cookie/compare/v0.6.0...v0.7.1)
Updates `express` from 4.20.0 to 4.21.1
- [Release notes](https://github.com/expressjs/express/releases)
- [Changelog](https://github.com/expressjs/express/blob/4.21.1/History.md)
- [Commits](https://github.com/expressjs/express/compare/4.20.0...4.21.1)
---
updated-dependencies:
- dependency-name: cookie
dependency-type: indirect
- dependency-name: express
dependency-type: indirect
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
* docs(virtual_keys.md): update Dockerfile reference (#6554)
Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
* (proxy fix) - call connect on prisma client when running setup (#6534)
* critical fix - call connect on prisma client when running setup
* fix test_proxy_server_prisma_setup
* fix test_proxy_server_prisma_setup
* Add 3.5 haiku (#6588)
* feat: add claude-3-5-haiku-20241022 entries
* feat: add claude-3-5-haiku-20241022 and vertex_ai/claude-3-5-haiku@20241022 models
* add missing entries, remove vision
* remove image token costs
* Litellm perf improvements 3 (#6573)
* perf: move writing key to cache, to background task
* perf(litellm_pre_call_utils.py): add otel tracing for pre-call utils
adds 200ms on calls with pgdb connected
* fix(litellm_pre_call_utils.py'): rename call_type to actual call used
* perf(proxy_server.py): remove db logic from _get_config_from_file
was causing db calls to occur on every llm request, if team_id was set on key
* fix(auth_checks.py): add check for reducing db calls if user/team id does not exist in db
reduces latency/call by ~100ms
* fix(proxy_server.py): minor fix on existing_settings not incl alerting
* fix(exception_mapping_utils.py): map databricks exception string
* fix(auth_checks.py): fix auth check logic
* test: correctly mark flaky test
* fix(utils.py): handle auth token error for tokenizers.from_pretrained
* build: fix map
* build: fix map
* build: fix json for model map
* fix ImageObject conversion (#6584)
* (fix) litellm.text_completion raises a non-blocking error on simple usage (#6546)
* unit test test_huggingface_text_completion_logprobs
* fix return TextCompletionHandler convert_chat_to_text_completion
* fix hf rest api
* fix test_huggingface_text_completion_logprobs
* fix linting errors
* fix importLiteLLMResponseObjectHandler
* fix test for LiteLLMResponseObjectHandler
* fix test text completion
* fix allow using 15 seconds for premium license check
* testing fix bedrock deprecated cohere.command-text-v14
* (feat) add `Predicted Outputs` for OpenAI (#6594)
* bump openai to openai==1.54.0
* add 'prediction' param
* testing fix bedrock deprecated cohere.command-text-v14
* test test_openai_prediction_param.py
* test_openai_prediction_param_with_caching
* doc Predicted Outputs
* doc Predicted Output
* (fix) Vertex Improve Performance when using `image_url` (#6593)
* fix transformation vertex
* test test_process_gemini_image
* test_image_completion_request
* testing fix - bedrock has deprecated cohere.command-text-v14
* fix vertex pdf
* bump: version 1.51.5 → 1.52.0
* fix(lowest_tpm_rpm_routing.py): fix parallel rate limit check (#6577)
* fix(lowest_tpm_rpm_routing.py): fix parallel rate limit check
* fix(lowest_tpm_rpm_v2.py): return headers in correct format
* test: update test
* build(deps): bump cookie and express in /docs/my-website (#6566)
Bumps [cookie](https://github.com/jshttp/cookie) and [express](https://github.com/expressjs/express). These dependencies needed to be updated together.
Updates `cookie` from 0.6.0 to 0.7.1
- [Release notes](https://github.com/jshttp/cookie/releases)
- [Commits](https://github.com/jshttp/cookie/compare/v0.6.0...v0.7.1)
Updates `express` from 4.20.0 to 4.21.1
- [Release notes](https://github.com/expressjs/express/releases)
- [Changelog](https://github.com/expressjs/express/blob/4.21.1/History.md)
- [Commits](https://github.com/expressjs/express/compare/4.20.0...4.21.1)
---
updated-dependencies:
- dependency-name: cookie
dependency-type: indirect
- dependency-name: express
dependency-type: indirect
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
* docs(virtual_keys.md): update Dockerfile reference (#6554)
Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
* (proxy fix) - call connect on prisma client when running setup (#6534)
* critical fix - call connect on prisma client when running setup
* fix test_proxy_server_prisma_setup
* fix test_proxy_server_prisma_setup
* Add 3.5 haiku (#6588)
* feat: add claude-3-5-haiku-20241022 entries
* feat: add claude-3-5-haiku-20241022 and vertex_ai/claude-3-5-haiku@20241022 models
* add missing entries, remove vision
* remove image token costs
* Litellm perf improvements 3 (#6573)
* perf: move writing key to cache, to background task
* perf(litellm_pre_call_utils.py): add otel tracing for pre-call utils
adds 200ms on calls with pgdb connected
* fix(litellm_pre_call_utils.py'): rename call_type to actual call used
* perf(proxy_server.py): remove db logic from _get_config_from_file
was causing db calls to occur on every llm request, if team_id was set on key
* fix(auth_checks.py): add check for reducing db calls if user/team id does not exist in db
reduces latency/call by ~100ms
* fix(proxy_server.py): minor fix on existing_settings not incl alerting
* fix(exception_mapping_utils.py): map databricks exception string
* fix(auth_checks.py): fix auth check logic
* test: correctly mark flaky test
* fix(utils.py): handle auth token error for tokenizers.from_pretrained
* build: fix map
* build: fix map
* build: fix json for model map
* test: remove eol model
* fix(proxy_server.py): fix db config loading logic
* fix(proxy_server.py): fix order of config / db updates, to ensure fields not overwritten
* test: skip test if required env var is missing
* test: fix test
---------
Signed-off-by: dependabot[bot] <support@github.com>
Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: paul-gauthier <69695708+paul-gauthier@users.noreply.github.com>
* test: mark flaky test
* test: handle anthropic api instability
* test(test_proxy_utils.py): add testing for db config update logic
* Update setuptools in docker and fastapi to latest verison, in order to upgrade starlette version (#6597)
* build(deps): bump cookie and express in /docs/my-website (#6566)
Bumps [cookie](https://github.com/jshttp/cookie) and [express](https://github.com/expressjs/express). These dependencies needed to be updated together.
Updates `cookie` from 0.6.0 to 0.7.1
- [Release notes](https://github.com/jshttp/cookie/releases)
- [Commits](https://github.com/jshttp/cookie/compare/v0.6.0...v0.7.1)
Updates `express` from 4.20.0 to 4.21.1
- [Release notes](https://github.com/expressjs/express/releases)
- [Changelog](https://github.com/expressjs/express/blob/4.21.1/History.md)
- [Commits](https://github.com/expressjs/express/compare/4.20.0...4.21.1)
---
updated-dependencies:
- dependency-name: cookie
dependency-type: indirect
- dependency-name: express
dependency-type: indirect
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
* docs(virtual_keys.md): update Dockerfile reference (#6554)
Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
* (proxy fix) - call connect on prisma client when running setup (#6534)
* critical fix - call connect on prisma client when running setup
* fix test_proxy_server_prisma_setup
* fix test_proxy_server_prisma_setup
* Add 3.5 haiku (#6588)
* feat: add claude-3-5-haiku-20241022 entries
* feat: add claude-3-5-haiku-20241022 and vertex_ai/claude-3-5-haiku@20241022 models
* add missing entries, remove vision
* remove image token costs
* Litellm perf improvements 3 (#6573)
* perf: move writing key to cache, to background task
* perf(litellm_pre_call_utils.py): add otel tracing for pre-call utils
adds 200ms on calls with pgdb connected
* fix(litellm_pre_call_utils.py'): rename call_type to actual call used
* perf(proxy_server.py): remove db logic from _get_config_from_file
was causing db calls to occur on every llm request, if team_id was set on key
* fix(auth_checks.py): add check for reducing db calls if user/team id does not exist in db
reduces latency/call by ~100ms
* fix(proxy_server.py): minor fix on existing_settings not incl alerting
* fix(exception_mapping_utils.py): map databricks exception string
* fix(auth_checks.py): fix auth check logic
* test: correctly mark flaky test
* fix(utils.py): handle auth token error for tokenizers.from_pretrained
* build: fix map
* build: fix map
* build: fix json for model map
* fix ImageObject conversion (#6584)
* (fix) litellm.text_completion raises a non-blocking error on simple usage (#6546)
* unit test test_huggingface_text_completion_logprobs
* fix return TextCompletionHandler convert_chat_to_text_completion
* fix hf rest api
* fix test_huggingface_text_completion_logprobs
* fix linting errors
* fix importLiteLLMResponseObjectHandler
* fix test for LiteLLMResponseObjectHandler
* fix test text completion
* fix allow using 15 seconds for premium license check
* testing fix bedrock deprecated cohere.command-text-v14
* (feat) add `Predicted Outputs` for OpenAI (#6594)
* bump openai to openai==1.54.0
* add 'prediction' param
* testing fix bedrock deprecated cohere.command-text-v14
* test test_openai_prediction_param.py
* test_openai_prediction_param_with_caching
* doc Predicted Outputs
* doc Predicted Output
* (fix) Vertex Improve Performance when using `image_url` (#6593)
* fix transformation vertex
* test test_process_gemini_image
* test_image_completion_request
* testing fix - bedrock has deprecated cohere.command-text-v14
* fix vertex pdf
* bump: version 1.51.5 → 1.52.0
* Update setuptools in docker and fastapi to latest verison, in order to upgrade starlette version
---------
Signed-off-by: dependabot[bot] <support@github.com>
Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: paul-gauthier <69695708+paul-gauthier@users.noreply.github.com>
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
Co-authored-by: Jacob Hagstedt <wcgs@novonordisk.com>
* fix(langfuse.py): fix linting errors
* fix: fix linting errors
* fix: fix casting error
* fix: fix typing error
* fix: add more tests
* fix(utils.py): fix return_processed_chunk_logic
* Revert "Update setuptools in docker and fastapi to latest verison, in order t…" (#6615)
This reverts commit
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Ishaan Jaff
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72a91ea9dd
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(fix) Langfuse key based logging (#6372)
* langfuse use helper for get_langfuse_logging_config * fix get_langfuse_logger_for_request * fix import * fix get_langfuse_logger_for_request * test_get_langfuse_logger_for_request_with_dynamic_params * unit testing for test_get_langfuse_logger_for_request_with_no_dynamic_params * parameterized langfuse testing * fix langfuse test * fix langfuse logging * fix test_aaalangfuse_logging_metadata * fix langfuse log metadata test * fix langfuse logger * use create_langfuse_logger_from_credentials * fix test_get_langfuse_logger_for_request_with_no_dynamic_params * fix correct langfuse/ folder structure * use static methods for langfuse logger * add commment on langfuse handler * fix linting error * add unit testing for langfuse logging * fix linting * fix failure handler langfuse |