* 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>
* 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
* fix: use fastuuid helper across the codebase
First batch of changes, simple drop in replacement.
* second batch of changes
* fixed: script mistake on helper file
* feat(langfuse.py): log the used prompt when prompt management used
* test: fix test
* docs(self_serve.md): add doc on restricting personal key creation on ui
* feat(s3.py): support s3 logging with team alias prefixes (if available)
New preview feature
* fix(main.py): remove old if block - simplify to just await if coroutine returned
fixes lm_studio async embedding error
* fix(langfuse.py): handle get prompt check
* test(azure_openai_o1.py): initial commit with testing for azure openai o1 preview model
* fix(base_llm_unit_tests.py): handle azure o1 preview response format tests
skip as o1 on azure doesn't support tool calling yet
* fix: initial commit of azure o1 handler using openai caller
simplifies calling + allows fake streaming logic alr. implemented for openai to just work
* feat(azure/o1_handler.py): fake o1 streaming for azure o1 models
azure does not currently support streaming for o1
* feat(o1_transformation.py): support overriding 'should_fake_stream' on azure/o1 via 'supports_native_streaming' param on model info
enables user to toggle on when azure allows o1 streaming without needing to bump versions
* style(router.py): remove 'give feedback/get help' messaging when router is used
Prevents noisy messaging
Closes https://github.com/BerriAI/litellm/issues/5942
* test: fix azure o1 test
* test: fix tests
* fix: fix test
* feat: initial commit for watsonx chat endpoint support
Closes https://github.com/BerriAI/litellm/issues/6562
* feat(watsonx/chat/handler.py): support tool calling for watsonx
Closes https://github.com/BerriAI/litellm/issues/6562
* fix(streaming_utils.py): return empty chunk instead of failing if streaming value is invalid dict
ensures streaming works for ibm watsonx
* fix(openai_like/chat/handler.py): ensure asynchttphandler is passed correctly for openai like calls
* fix: ensure exception mapping works well for watsonx calls
* fix(openai_like/chat/handler.py): handle async streaming correctly
* feat(main.py): Make it clear when a user is passing an invalid message
add validation for user content message
Closes https://github.com/BerriAI/litellm/issues/6565
* fix: cleanup
* fix(utils.py): loosen validation check, to just make sure content types are valid
make litellm robust to future content updates
* fix: fix linting erro
* fix: fix linting errors
* fix(utils.py): make validation check more flexible
* test: handle langfuse list index out of range error
* Litellm dev 11 02 2024 (#6561)
* fix(dual_cache.py): update in-memory check for redis batch get cache
Fixes latency delay for async_batch_redis_cache
* fix(service_logger.py): fix race condition causing otel service logging to be overwritten if service_callbacks set
* feat(user_api_key_auth.py): add parent otel component for auth
allows us to isolate how much latency is added by auth checks
* perf(parallel_request_limiter.py): move async_set_cache_pipeline (from max parallel request limiter) out of execution path (background task)
reduces latency by 200ms
* feat(user_api_key_auth.py): have user api key auth object return user tpm/rpm limits - reduces redis calls in downstream task (parallel_request_limiter)
Reduces latency by 400-800ms
* fix(parallel_request_limiter.py): use batch get cache to reduce user/key/team usage object calls
reduces latency by 50-100ms
* fix: fix linting error
* fix(_service_logger.py): fix import
* fix(user_api_key_auth.py): fix service logging
* fix(dual_cache.py): don't pass 'self'
* fix: fix python3.8 error
* fix: fix init]
* bump: version 1.51.4 → 1.51.5
* 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
* Litellm dev 11 02 2024 (#6561)
* fix(dual_cache.py): update in-memory check for redis batch get cache
Fixes latency delay for async_batch_redis_cache
* fix(service_logger.py): fix race condition causing otel service logging to be overwritten if service_callbacks set
* feat(user_api_key_auth.py): add parent otel component for auth
allows us to isolate how much latency is added by auth checks
* perf(parallel_request_limiter.py): move async_set_cache_pipeline (from max parallel request limiter) out of execution path (background task)
reduces latency by 200ms
* feat(user_api_key_auth.py): have user api key auth object return user tpm/rpm limits - reduces redis calls in downstream task (parallel_request_limiter)
Reduces latency by 400-800ms
* fix(parallel_request_limiter.py): use batch get cache to reduce user/key/team usage object calls
reduces latency by 50-100ms
* fix: fix linting error
* fix(_service_logger.py): fix import
* fix(user_api_key_auth.py): fix service logging
* fix(dual_cache.py): don't pass 'self'
* fix: fix python3.8 error
* fix: fix init]
* 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
* 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: update test
* test: bump num retries on langfuse tests - their api is quite bad
---------
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>
* fix(azure.py): handle /openai/deployment in azure api base
* fix(factory.py): fix faulty anthropic tool result translation check
Fixes https://github.com/BerriAI/litellm/issues/6422
* fix(gpt_transformation.py): add support for parallel_tool_calls to azure
Fixes https://github.com/BerriAI/litellm/issues/6440
* fix(factory.py): support anthropic prompt caching for tool results
* fix(vertex_ai/common_utils): don't pop non-null required field
Fixes https://github.com/BerriAI/litellm/issues/6426
* feat(vertex_ai.py): support code_execution tool call for vertex ai + gemini
Closes https://github.com/BerriAI/litellm/issues/6434
* build(model_prices_and_context_window.json): Add 'supports_assistant_prefill' for bedrock claude-3-5-sonnet v2 models
Closes https://github.com/BerriAI/litellm/issues/6437
* fix(types/utils.py): fix linting
* test: update test to include required fields
* test: fix test
* test: handle flaky test
* test: remove e2e test - hitting gemini rate limits
