* test: add a manually dispatched integration trial on larger runners
Runs the providers, database and management integration groups on 16-core GitHub-hosted runners with Postgres and Redis as service containers, to measure wall time and how far each group scales with more workers
run_integration.sh now keeps a preset INTEGRATION_WORKERS, takes the service container names from the environment, and seeds test order from the GitHub run when there is no CircleCI one
* test: run the integration trial on push to this branch
* test: give integration trial workers a local redis-server
* test: run the providers trial on a 64-core runner with 32 workers
The 16-core run reached 53% of providers in 45 minutes with 16 workers, which points at CPU. Postgres gets max_connections=1000 and a 1 GB shm because one server now backs 32 worker proxies, where each CircleCI machine backs 4
* test: run every integration group in the trial on sized runners
* test: add a scan that refuses to upload integration results holding the license
* test: drop the member-name pass the archive byte scan already covers
* test: use a secret whose base64 and base64url encodings differ
* ci: run integration groups on run-ci pull requests and scheduled main runs
* ci: scope the integration license to a protected environment
Backport note: tests/integration/AGENTS.md keeps rc/1.108.0's text, since main's copy of that paragraph also carries later changes rc does not have
(cherry picked from commit 62b8ee78de)
Backport note: rc/1.108.0 also needs graceful_stop_seconds imported in test_logging_only_scope_chaos.py, which main already imported
(cherry picked from commit c8c0248ac7)
Neither chart bundles Lens anymore. The Lens subchart, its lock entry,
the vendored chart archive, the templates/lens resources and the
bundled-Lens install smoke are gone. A connection-only lens block wires
the gateway and backend to a Lens deployed from its own chart, and an
enabled lensWorker value fails the render instead of being ignored.
Supersedes #47869, which made the same change for helm/litellm only.
(cherry picked from commit 25b4a24fdd)
The mirrored map carries extraction mode rows, explicit_cache_read_input_token_cost and supports_bedrock_native_structured_output, and openinfer rows for a provider this line has no model set for. stable/1.106.x widened the same checks in ebf92c9a45 and f44d4a70c0
* fix(proxy): build proxy-only failure logs from an allowlist and ignore request-time GCS credentials
* fix(proxy): drop caller metadata from proxy-only failure logs
metadata and litellm_metadata leave the proxy-only failure-log allowlist, so a rejected request can no longer point its failure log at its own Langsmith or Langfuse host through nested metadata.
* fix(proxy): keep allowlisted metadata in proxy-only failure logs
* test(proxy): isolate proxy-only failure log metadata tests
* fix(logging): ignore non-list request tags when building the logging payload
A guardrail-rejected request with metadata tags set to a non-list value crashed
the standard logging payload, so its spend row lost model attribution.
* fix(proxy): keep router attribution and drop unauthenticated tags in proxy-only failure logs
A request rejected before routing now logs the configured deployment and model group even when its metadata or litellm_metadata carries its own values. Requests rejected at auth no longer write caller tags into failure logs and tag spend.
* fix(proxy): always strip client guardrail info and mirror failure attribution into litellm_metadata
allow_client_pricing_override no longer keeps a caller-supplied standard_logging_guardrail_information on the chat or pass-through paths, since its guardrail_cost is billed. Proxy-only failure logs now also carry key and team attribution in litellm_metadata.
* refactor(proxy): keep the proxy-only failure-log fixes inside the type gates
Types the picked helpers so basedpyright and the type-discipline gate stay at main's counts. No runtime change.
* fix(proxy): keep the WS frame guardrail-info strip and string interaction tags as sent
The guardrail-info key left the pricing strip list, so the Responses WS frame guard now drops it by name. get_request_tags no longer raises on string tags, so background interaction polling checks for them before keeping them as sent.
---------
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
(cherry picked from commit 788868a52f)
* fix(deps): upgrade vulnerable Python dependencies
* fix(deps): lock patched Python dependency versions
* fix(otel): preserve JSON export with the updated SDK
* test(otel): cover JSON export with the updated SDK
* test(otel): update SDK log records and worker discovery
* fix(ui): align Lens peer dependency with patched Next.js
* fix(otel): hand the AgentOps exporter a session it owns for the JWT header
OpenTelemetry 1.45 moved the OTLP HTTP exporter's requests.Session behind a
transport, so writing the minted JWT to the exporter's private _session raised,
was swallowed, and every AgentOps batch went out unauthenticated. The exporter
now creates the session, passes it through the public session= argument and
sets the Authorization header on it
The tests now drive a real export, serving the token endpoint with respx and
capturing the OTLP POST with requests_mock, instead of reading SDK internals
* fix(otel): skip FastAPI instrumentation once the app has started
opentelemetry-instrumentation-fastapi 0.66b1 wraps build_middleware_stack instead
of calling add_middleware, so instrumenting an app whose middleware stack is
already built no longer raises. The call silently did nothing while we still
registered the global response propagator. Check the built stack up front and
skip both, which is what the existing test expects
* test(otel): assert exported requests and span flags instead of SDK internals
OpenTelemetry 1.45 dropped the exporter's private _headers and sets the W3C
random-trace-id flag on new traces, so traceresponse ends in -03. The Langtrace
and Langfuse tests now export through requests_mock and check the URL and headers
the collector receives, and the traceresponse tests expect the server span's own
trace flags
* fix(deps): bump dashboard zod to 4.6.6 and make the vendored Lens use it
zod 4.6.5 is flagged by the dependency scan and blocks osv-scan on every PR. A
root bump alone leaves the vendored Lens tarball, which pins zod 4.6.5 exactly,
on its own nested copy, so a top-level zod override points every consumer at the
root version and the lock carries a single zod 4.6.6
* test(ui): stub the tag summary fetch the client panel retry refreshes
Retrying the model breakdown refetches /tag/summary, which this integration test
left on the real network. When that request failed before the assertion, the
panel switched to its summary error and unmounted the model row, so the test
passed or failed by timing
* fix(deps): drop the duplicated Lens override from the dashboard package.json
* style(ui): format the client panel fetch stub
---------
Co-authored-by: Yuneng Jiang <yuneng@berri.ai>
(cherry picked from commit 8f9894fbd6)
Update certifi, Rust trust roots, and the Docker CA bundle to remove emSign ECC Root CA - G3
Require the fixed certifi release in litellm-core and retain libssl3 in Docker runtimes for Prisma compatibility
Co-authored-by: shin-berri <shin-laptop@berri.ai>
(cherry picked from commit f2118fc767)
* fix(proxy): attribute retry attempt spend rows to their own deployment and keep them out of daily request counts
Each <request_id>-attempt-<n> row now carries the model, provider, api_base and model group of the deployment that billed it (looked up by model_info.id through the proxy router, injected as deployment_lookup) instead of copying the final row's, and is stamped internal_call_origin=billed_retry_attempt so the daily spend tables keep its spend and tokens while counting zero api_requests and failed_requests for it
* fix(proxy): declare DeploymentLookup as a TypeAlias and leave the test file's untouched lines as they were
* fix(proxy): mark attempt rows with billed_retry_attempt instead of internal_call_origin so model usage keeps their spend
Bugbot: an internal_call_origin stamp made build_model_usage_transaction drop the attempt rows from LiteLLM_DailyModelUsage. The rows now carry their own SpendLogsMetadata flag, which only the daily request counters read
* fix(proxy): read the billed_retry_attempt flag through a typed helper so the basedpyright gate holds
* fix(proxy): keep the typed litellm_params local in _deployment_provider so the basedpyright gate holds
* fix(proxy): annotate the validated litellm_params as LiteLLM_Params in _deployment_provider
* fix(proxy): keep billed retry attempts out of daily request errors and strip the flag from caller metadata
Bugbot: _record_request_error counted every attempt row as a caller failure in LiteLLM_DailyRequestErrors. Veria: a caller could send metadata.billed_retry_attempt to zero its own request counts, so the key joins the untrusted metadata fields the proxy strips on the way in
* fix(proxy): stamp billed_retry_attempt explicitly in the spend log metadata so the basedpyright gate holds
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
(cherry picked from commit 5dce13d2c2)
* fix(logging): report pay-as-you-go rates for spilled over PTU requests without base_model
* fix(logging): keep the provider response model so spilled over PTU payloads price the served model
* fix(logging): keep a provider_response_model the response already carries
* fix(logging): read the carried provider_response_model through a typed adapter
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
(cherry picked from commit 6b1f4ed46f)
* fix(proxy): bill every earlier timed-out retry attempt at its own deployment's model rate
* fix(router): read the retry record's base_model through the typed metadata helper
* fix(router): keep the four-record retry breadcrumb cap
* fix(router): carry a deployment's litellm_params base_model on its retry record
* chore(router): place the cast-ok reason on the cast line and list the base_model helper as covered through log_retry
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
(cherry picked from commit 27efc387f7)
* fix(router): price cost-based routing through model_info.base_model
* fix(router): keep cost-based routing pricing helpers fully typed
* fix(router): drop typing.cast from cost-based routing pricing helpers
* fix(router): read the cost map through a typed accessor in cost-based routing
* fix(router): avoid a Final rebind inside the cost-based routing loop
* refactor(router): share deployment_pricing_models across spend, listing and cost-based routing
* refactor(router): keep the /v1/models listing key inline, share pricing models for spend and routing
* refactor(router): inline the deployment pricing-model wrapper in cost-based routing
* refactor(router): read deployment pricing models through one shared helper
deployment_pricing_models(deployment) now owns the model_info.base_model / litellm_params.base_model /
litellm_params.model unpacking, used by cost-based routing and the /v1/models listing. pricing_models(base_model, model)
stays for the failure-row spend estimate, which already holds the two names
* refactor(router): share the str-keyed mapping validator with cost-based routing
* ci: re-run after flaky test_aiohttp_transport read timeout in llms-providers
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
(cherry picked from commit 0c6731eb5c)
* fix(proxy): price a 499 spend row only for the proxy's own disconnect, and never after the call already completed
* fix(proxy): gate the zero-cost 499 row on the success log being enqueued, not merely claimed
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
(cherry picked from commit ffb7133d32)
* fix(proxy): scope the search free-tier counter to the request's provider
* fix(proxy): read the provider with get so partial spend payloads still get the free tier
* test(proxy): give the grounded spend payload fixture its provider
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
(cherry picked from commit 640f2d865b)
* fix(proxy): strip caller base_model from spend pricing and reject lone surrogates in multipart metadata
* fix(proxy): type the parsed multipart metadata so basedpyright does not grow reportArgumentType
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
(cherry picked from commit 2a268951c4)
* fix(proxy): bill partial Responses API streams when the client disconnects
Streamed /v1/responses requests and the default-route OpenAI and Azure /v1/messages requests behind them logged a 499 with zero spend when the client went away mid-stream, while /v1/chat/completions already billed the chunks it had sent. The Responses API iterator now keeps the response.created payload and can hand the disconnect cleanup a response.incomplete event with counted usage and the served service_tier, and the messages-route byte stream and router wrappers delegate to it.
* fix(proxy): satisfy lint gates for partial Responses API disconnect billing
Make the disconnect helper public so the proxy, router and messages adapter can import it without reportPrivateUsage, type the SSE byte stream as an AsyncGenerator so aclose is known, read litellm_call_id off the logging object, and keep the new tests on Final locals with the recorder injected through dynamic_async_success_callbacks instead of litellm.callbacks.
* fix(router): bill the primary stream's tokens after a mid-stream hop and chat-bridge Responses streams on disconnect
The router's fallback wrapper now folds the primary Responses stream's relayed tokens into the fallback's disconnect event the way _combine_responses_fallback_usage does for a natural end of stream, and LiteLLMCompletionStreamingIterator (chat-only providers served through /v1/responses) builds its disconnect event from the chat completion chunks it collected. stamp_responses_usage_cost is now public so the bridge module can price that event.
* Potential fix for pull request finding 'CodeQL / Log Injection'
Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
(cherry picked from commit f0ae445cc4)
Every /v1/responses spend log asked its worker to flush the queue right away so a
chained previous_response_id could find the row. Only the chat-completions bridge
reads that row. Native Responses providers hold the conversation upstream, so their
rows now wait for the batch write like chat rows do
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
(cherry picked from commit 423362bab2)
* feat(proxy): opt-in free-tier allowance for Google Search grounding spend
* fix(proxy): declare the search free tier counter's service target
* test(cost_map): allow search_free_requests in the cost map schema
* fix(proxy): skip cache hits and never free more than the billed cost in the search free tier
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
(cherry picked from commit e63aec029a)
_failure_spend_rows yields the final row plus one re-keyed row per lifted billed_failed_attempts entry (<request_id>-attempt-<position>, the attempt's usage, cost, retry count and deployment id), each written through DBSpendUpdateWriter.update_database so it also deducts from key, team and user spend
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
(cherry picked from commit ad8ca533ca)
* feat(proxy): lift every earlier billed timed-out retry attempt onto the failed request
_billed_earlier_attempts reads the router's previous_models records, keeps the Timeout ones other than the final attempt (matched on deployment_id plus attempted_retries, since the count restarts after a fallback hop and the fallback handler re-logs the exhausting attempt) and prices each at the deployment that served it. post_call_failure_hook lifts the tuple as billed_failed_attempts; nothing writes it yet. previous_models joins the router-reserved metadata fields so a client-planted record never reaches it
* fix(proxy): price earlier timed-out attempts from the prompt estimate only
The final row may lift a mid-stream recovered usage (prompt plus delivered chunks) or a failed_attempts_usage sum; earlier attempts never produced output, so they are priced from _estimated_prompt_usage, and when failed_attempts_usage already bills them into the final row none is lifted again
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
(cherry picked from commit 7a4a255d1d)
PR #47394 withheld cache_control_injection_points from the OpenAI SDK extra_body for
every provider on that path, which also covers litellm_proxy. The downstream LiteLLM
proxy applies the point itself, so litellm_proxy keeps forwarding it while OpenAI and the
other OpenAI-compatible providers still never receive it
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
(cherry picked from commit 04e9ed4c52)
get_standard_logging_object_payload decided custom_pricing from
litellm_params alone, so on an Azure PTU spillover response
model_map_information kept the deployment's zeroed PTU entry while
response_cost already used the standard model rate. Reuse the billing
side LitellmLogging._custom_pricing_for so both read the same decision
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
(cherry picked from commit 4222523261)
* fix(register_model): keep bedrock geo deployments priced across price data reloads
A request-time pricing registration inserting into litellm.model_cost while a
price data reload walked it could abort the reload (dictionary changed size
during iteration in add_known_models), or trip the lookup map rebuild inside
get_model_info so the deployment replay fell through to the unmapped path and
wrote a raw bedrock/au.anthropic.<model> entry with no token pricing, a $0
shadow re-rolled on every later reload. Walk snapshots of the map, bind the
case-insensitive lookup map locally, and let the unmapped path inherit the
whole built-in entry of a provider get_model_info would accept.
* fix(register_model): keep synthesized zero costs out of inherited built-in pricing
An unmapped alias that inherits its built-in entry now takes only the token
prices the catalogue really carries, so a synthesized zero never lands next to
the caller's custom price. The router regression test reports the writer's
failures instead of swallowing them, and the local names carry Final.
* fix(register_model): match inherited built-ins by the key provider prefix when the value names none
* fix(utils): resolve a tripped lookup from the key's own catalog row before its region sibling
* fix(register_model): keep custom flat prices above inherited tier rates
* fix(register_model): keep the other direction's tier rates when a custom flat price covers one
* fix(register_model): keep a catalog row's tiers when its lookup trips, and snapshot request-path cost map walks
A tripped get_model_info on a key that is itself a catalog row now inherits that row whole, so a custom flat price bills a long prompt at the row's above-threshold rate on both lookup paths instead of flipping until the next reload. The fal_ai, fireworks, ollama and gpt-5 request-path walks over litellm.model_cost iterate a snapshot so a concurrent reload cannot raise mid-request.
* fix(register_model): price route-prefixed geo keys on a tripped lookup and replace cost map entries atomically
* fix(register_model): move every alias of a cost map entry to its registered price
* perf(register_model): read alias names from the shared entry instead of scanning the cost map
Each registration scanned every cost map entry to find the names sharing it,
about 1 ms on the 4,189-entry map, and a proxy request to a custom-priced
deployment registers twice. Aliased entries now carry the names they are
served under, so a registration reads them directly, and an alias the caller
pointed at its own entry keeps that entry. The tests this PR added lose their
docstrings
* fix(utils): keep capability flags and write through on a tripped lookup in register_model
A key the lookup cannot map now seeds its registered entry from the capability
rules its unregistered lookup resolves to, so registering a region alias no
longer turns off supports_system_messages and similar flags. A lookup that
trips mid-walk on a key naming a catalog row writes into that row instead of
leaving a shadow key that goes stale. Adds regression tests for both and for
the request-path snapshot walks.
* fix(utils): retry a tripped registration lookup and rebuild a registration a reload races
A lookup a concurrent write trips is retried instead of writing into the
catalog row its key names, so a per-request price never reprices a shared
row. The inherited entry leaves the matched row's provider behind, so a
provider-less azure_ai key stays priced, and a registration whose map a
reload swapped mid-build is rebuilt from the new map.
* fix(utils): write each registration into the map it was built from and rebuild it when a reload replaced that map
* test(integration): price data reload keeps every registered deployment priced
---------
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
(cherry picked from commit 9e9dccb9d4)
* fix(proxy): price the estimated input tokens on a client-cancelled (499) request's spend row
* fix(proxy): read the provider handoff before the proxy-only error handler stamps it so a pre-handoff 499 is not priced
* fix(proxy): drop the pre-logging handoff read now that pre_call no longer stamps proxy-only failures
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
(cherry picked from commit 0e7c4908bb)
* fix(batches): apply the Vertex regional endpoint uplift to batch cost
batch_cost_calculator takes vertex_location and multiplies by the model's
regional_endpoint_uplift_multiplier through get_vertex_regional_endpoint_uplift,
and every batch cost path (aretrieve_batch pricing, completed-batch logging,
native Vertex batch rows, the proxy batch cost poll and its per-line items)
resolves the deployment's location and passes it down
Co-authored-by: Mrun25 <165297479+Mrun25@users.noreply.github.com>
* test(logging): point the resolver tests at resolve_vertex_location_for_cost
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: Mrun25 <165297479+Mrun25@users.noreply.github.com>
(cherry picked from commit c6c303a618)
Vertex text embedding predict responses report metadata.billableCharacterCount, the
unit Google bills text-embedding-005 and text-multilingual-embedding-002 on. Carry it
into usage.prompt_tokens_details.character_count and, when the model carries
input_cost_per_character, bill that count instead of the token count so the prompt is
charged under one unit. Per-token embeddings (gemini-embedding-001) are unchanged.
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
(cherry picked from commit d29200fa05)
* fix(anthropic): apply tool_config cache-control points on chat and /v1/messages
A cache_control_injection_points entry with location tool_config was spread into
the Anthropic request body on /v1/chat/completions, which Anthropic rejected with
400 Extra inputs are not permitted, and the native /v1/messages path dropped the
point silently. Both paths now put the point's control on the last tool Anthropic
caches and never forward the key.
Co-authored-by: Tan Nguyen <tan@pressingly.net>
* refactor(anthropic): validate tool_config inputs instead of casting them
Keeps the lint gates flat: the helper takes untyped tools and points and
narrows them with the existing object validators, the chat transform builds
the body with the marked tools instead of writing into optional_params, and
the handler reads a typed view of kwargs.
* fix(openai): keep tool_config cache points out of extra_body, add integration test
The cache hook hands a tool_config point on for the provider step, and for
providers that call through the OpenAI SDK every non-OpenAI param rides in
extra_body, so OpenAI answered 400 Unrecognized request argument supplied.
The new integration file drives a live proxy against scripted Anthropic,
Bedrock Converse and OpenAI upstreams for /v1/chat/completions and
/v1/messages.
* test(integration): cover tool_config cache points on bridged /v1/messages
Three new cases on /v1/messages for models without a native Anthropic
messages path: OpenAI through the Responses bridge and Gemini through the
chat bridge never see cache_control_injection_points in the body, and
Bedrock Nova through the chat bridge gets the cachePoint on toolConfig
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: Tan Nguyen <tan@pressingly.net>
(cherry picked from commit 93b79d2587)
* fix(cost): bill Gemini audio/image/video prompt tokens at the resolved input rate when no modality rate exists
Co-authored-by: shivam <shivam@berri.ai>
* style(cost): ruff format the modality cost calls
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: shivam <shivam@berri.ai>
(cherry picked from commit 09e9193514)
* feat(router): let a deployment set a timeout per service_tier
Adds timeout_by_service_tier and stream_timeout_by_service_tier to a deployment's
litellm_params. A request whose service_tier matches a key uses that value in place
of the deployment's timeout or stream_timeout. A timeout the client sends still wins
and requests without a matching tier are unchanged
Co-authored-by: adc77 <amandogra2016@gmail.com>
* style(router): sort the request_timeout_resolver import
* fix(router): read the service tier maps without the untyped params get
* fix(router): look the service tier timeout up through a typed get
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: adc77 <amandogra2016@gmail.com>
(cherry picked from commit 62ce515d15)
* fix(decisions): log every request field the caller sent on /v1/systemone and /v1/decisions
* fix(decisions): serialize the logged request with model_dump_json so no mutable dict is built
* refactor(decisions): drop the state-only messages pick in function_setup, prepare_call logs the request
* fix(decisions): return the single logged message so no mutable list type is annotated
* fix(decisions): log the caller's raw request fields before validation so a rejected request is still recorded
* fix(decisions): serialize the raw request fields with pydantic_core so question objects and mapping proxies log as JSON
* fix(decisions): log the caller request at the SDK entry so requests rejected before prepare_call are recorded too
* test(decisions): assert the exact BadRequestError for the rejected-questions case
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
(cherry picked from commit 53821f6654)
* fix(logging): report the cost-map entry billing used in model_map_information
Billing resolved the deployment's own cost-map entry and logging ran a second,
name-only lookup, so callbacks and spend logs showed the catalog rates for a
custom-priced deployment. completion_cost now stores the entry it billed from on
the logging object and the standard logging payload reads it, falling back to the
old lookup only when billing never ran.
* fix(logging): pass the deployment id into the logging cost-map lookup
Drop the logging-object plumbing and keep the lookup where it was:
get_standard_logging_object_payload now hands the deployment id to
get_model_cost_information as router_model_id, the same id billing uses, so
the deployment's own cost-map entry is reported instead of the catalog entry.
* test(logging): mirror the proxy metadata in the deployment-price regression test
* fix(logging): keep the catalog model_map_key, report only the deployment's own rates
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
(cherry picked from commit 1212260ab1)
* fix(openai): drop unsupported reasoning effort for gpt-6.1-sol
gpt-6.1-sol accepts low, medium, high, xhigh, and max. none and minimal were still forwarded, because chat completions ignored an explicit supports_none_reasoning_effort=false and the Responses mapper never applied that contract.
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(openai): mark the stripped reasoning object as outgoing JSON
Co-authored-by: Cursor <cursoragent@cursor.com>
* Fix Azure responses reading the OpenAI effort map
gpt-6-astra on Azure accepts reasoning.effort none. The responses gate was checking the OpenAI entry, which rejects it.
Signed-off-by: Paul El Khoury <82139421+pOpO1-9@users.noreply.github.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(openai): gate every reasoning_effort level from the cost map on chat and Responses
One gate reads the model's cost-map row for whatever effort level a request
asks for, on Chat Completions and the Responses API, for OpenAI and Azure.
xhigh stays opt-in on chat (Azure also keeps none opt-in); every other level
is refused only when its supports_<level>_reasoning_effort flag is false. A
refused level is dropped under drop_params or answered with a local 400, and
Responses keeps the rest of the reasoning object when it drops effort. The
guards that follow judge temperature by the level the provider will see.
Tests move into the mapped test files and derive the expected outcome for
each level from the map row, so a new GPT-6 model needs only its row.
* test(openai): pin gpt-6.1-sol's refused effort levels and prove the row flags alone drive the gate
* fix(cost-map): azure gpt-6-astra refuses none and honors max on Responses, as live calls show
* test(reasoning_effort): pin the astra max and none flips through the adapter and Foundry paths
* fix(reasoning_effort): keep max out of the route gates and correct the gpt-5.3-codex rows
The same model honors max on Responses and refuses it on Chat Completions, so one row flag
cannot gate it on either route. The gates now skip max, the Azure gpt-6-astra rows keep max
off so the /v1/messages adapter degrades to xhigh and /model_group/info stops short of it as
on main, and chat still forwards max for the Responses bridge.
The gpt-5.3-codex rows said none and xhigh off and minimal on; the live model answers the
other way round (2026-10-01), and an opt-out gate would have dropped the levels Codex CLI sends.
* fix(reasoning_effort): bridge function tools to Responses when the chat gate drops none
* docs(reasoning_effort): correct the max advertisement note
* fix(azure_ai): read the Foundry row on the Responses effort gate and turn none off for Azure gpt-6.1-sol
* fix(azure): gate a prefixed Foundry deployment's Responses effort off its row
litellm.responses(model="azure_ai/<deployment>", api_base=<Foundry host>) is
re-routed to the azure provider with the azure_ai/ prefix intact, so the Azure
Responses config saw a prefixed name, skipped it as another provider's
pass-through, and forwarded none and minimal to Azure even under drop_params.
The Azure gpt-5 resolver also read no row at all for a prefixed name.
The Azure Responses gate now detects the family the way the Azure chat gate
does, and an azure_ai/ name on the Azure OpenAI configs reads its azure_ai/ row
when the map has one, else the azure/ twin, the rule the Foundry chat config
already applies to the same deployment.
* fix(cost-map): turn none off on azure/eu/gpt-6-astra like its sibling rows
* docs(reasoning_effort): say how each gate reads none and shorten the module docstring
* fix(azure_ai): call the public effort-level check from the Foundry Responses gate
* test(reasoning_effort): fold the Foundry Responses tests into the mapped file and type the row helpers
---------
Signed-off-by: Paul El Khoury <82139421+pOpO1-9@users.noreply.github.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Co-authored-by: ryan-crabbe-berri <ryan@berri.ai>
(cherry picked from commit d7620c77a1)
* fix(proxy): authorize the public name of a team-scoped model on batch retrieve/cancel
A unified batch id resolves to the deployment's internal model_name
(model_name_{team_id}_{uuid}), which is in no key or team allowlist, so
authorize_model_for_key always denied and team keys got 403 retrieving or
cancelling their own batches. Authorize against model_info
team_public_model_name when the resolved deployment is team-scoped, falling
back to the resolved name otherwise.
Fixes#46958
* fix(proxy): authorize team-scoped batch models by their public name on both auth paths
* fix(proxy): accept the owning team's public name for its own team deployment on every auth path
Managed batch, file, fine-tuning, vector store, character and video ids resolve to the
team deployment's internal name again, so teams that granted the internal name keep access.
The model access check now also accepts the owning team's public name and its legacy team
aliases for that internal name, and only when the caller's team owns the deployment.
* fix(proxy): match a team deployment's public and alias names against the caller's own grants
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Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
(cherry picked from commit e979bd0ecf)
* fix(rust): add the dangerous-tool-use beta when an anthropic /v1/messages request carries safeguards
* test(rust): check the dangerous-tool-use beta reaches the wire with safeguards
* fix(rust): derive the dangerous-tool-use beta only for hosts with a beta map column
DeepSeek and the other hosts without a column in anthropic_beta_headers_config.json
keep forwarding safeguards and client betas as sent. Adds the wire-level audit tests.
* fix(rust): add the safeguards beta on Azure AI and Claude Platform hosts
Azure AI and Claude Platform Messages transforms now add the
dangerous-tool-use beta for a non-null safeguards field, through the
Azure AI and Anthropic beta-map columns. The safeguards wire and chaos
tests get unique file names so they do not collide with the Python
fix's tests, the Python-route test asserts the fixed behavior behind a
BUG skip, and the DeepSeek test checks that no beta is added
* fix(rust): keep Claude Platform out of the safeguards beta until a route can prove it
Claude Platform has no beta-map column and no QA account, so it goes back to sending
safeguards with no derived beta, like DeepSeek. Also release held chaos-test requests
before the thread pool waits on them, and mark the no-column test as rstest.
* fix(rust): derive the safeguards beta for Claude Platform and keep the null-cell test off Databricks
Claude Platform on AWS answers 400 to safeguards without dangerous-tool-use-2026-09-03 and 200 with it, so its Messages transform derives the beta through the Anthropic column again. The null-cell case now uses only Bedrock Converse, since Databricks support for the beta is changing in a sibling PR.
* fix(rust): drop a null safeguards key instead of sending it without its beta
Anthropic rejects any safeguards key, null included, when the
dangerous-tool-use beta is missing, so an explicit "safeguards": null on the
Rust gateway still answered 400. The shared Messages transform now drops a
null safeguards key on every host, as the proxy already drops None params
before calling Rust, so it answers 200 with no beta.
The scripted peer in the integration wire tests now rejects the key on
presence, matching the real API.
* test: cover Bedrock Mantle in the null safeguards case and match the vendor's non-list wording
The Rust null-safeguards regression test now also runs for bedrock_mantle, whose beta is keyed on the field being present. The scripted Anthropic peer answers a non-list safeguards value with the real API's "valid array" wording.
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Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
(cherry picked from commit 5b042c0db6)
