* 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
---------
Backport of #47655 to stable/1.104.x
Cherry-picked from 6b1f4ed46f (main)
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* 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
---------
Backport of #47648 to stable/1.104.x
Cherry-picked from 27efc387f7 (main)
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* 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
---------
Backport of #47617 to stable/1.104.x
Cherry-picked from 0c6731eb5c (main)
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* 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
---------
Backport of #47646 to stable/1.104.x
Cherry-picked from 640f2d865b (main)
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* 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
---------
Backport of #47639 to stable/1.104.x
Cherry-picked from 2a268951c4 (main)
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* 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>
---------
Backport of #47611 to stable/1.104.x
Cherry-picked from f0ae445cc4 (main)
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>
* 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
---------
Backport of #47494 to stable/1.104.x
Cherry-picked from e63aec029a (main)
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Backport of #47564 to stable/1.104.x
Cherry-picked from ce63f48ed2 (main)
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
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
Backport of #47570 to stable/1.104.x
Cherry-picked from 04e9ed4c52 (main)
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
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
Backport of #47567 to stable/1.104.x
Cherry-picked from 4222523261 (main)
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* 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
---------
Backport of #47466 to stable/1.104.x
Cherry-picked from c6c303a618 (main)
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>
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.
Backport of #47460 to stable/1.104.x
Cherry-picked from d29200fa05 (main)
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Backport of #47456 to stable/1.104.x
Cherry-picked from 3fa1587f43 (main)
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* 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
---------
Backport of #47394 to stable/1.104.x
Cherry-picked from 93b79d2587 (main)
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: Tan Nguyen <tan@pressingly.net>
* 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
---------
Backport of #47373 to stable/1.104.x
Cherry-picked from 09e9193514 (main)
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: shivam <shivam@berri.ai>
* 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
---------
Backport of #47406 to stable/1.104.x
Cherry-picked from 62ce515d15 (main)
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: adc77 <amandogra2016@gmail.com>
* 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
---------
Backport of #47183 to stable/1.104.x
Cherry-picked from 53821f6654 (main)
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Backport of #46430 to stable/1.104.x.
Cherry-picked from 08a24d391a (main), Bedrock changes only.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Backport of #45317 to stable/1.104.x.
Cherry-picked from 577d74c1ce (main).
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Defer the breaking error policy from #46121. Adapt the #46777 count settings flow to attempt a labelled local estimate for provider failures across providers and configured count models.
Keep provider errors when local counting is disabled or cannot estimate the request, and test the shared behavior across HTTP error statuses.
Keep #43900, #45301, #46121, #46784, #46759, #46767, #46772, #46815, #47057 and #46777. Port only the Gemini prerequisites from #46430.
Remove the deferred Bedrock Mantle behavior and unrelated picks from the final tree. Restore the PDF test provider fixture and deployment, and retain required test imports.
Backport of #47064 to stable/1.104.x.
Cherry-picked from ae6f7f6613 (main).
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>
Backport of #46430 to stable/1.104.x.
Cherry-picked from 08a24d391a (main).
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>
Backport of #46121 to stable/1.104.x.
Cherry-picked from 719c44db3f (main).
Co-authored-by: Krrish Dholakia <krrishdholakia@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: yuneng-jiang <yuneng@berri.ai>
Backport of #45463 to stable/1.104.x.
Cherry-picked from d34ad35281 (main).
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Backport of #45301 to stable/1.104.x.
Cherry-picked from 50ab9a3211 (main).
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Backport of #43900 to stable/1.104.x.
Cherry-picked from 6d73fa6b49 (main).
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: jesus <jesus@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Backport of #43417 to stable/1.104.x.
Cherry-picked from 8e6d99d74a (main).
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>
Ports the pytest_runtest_call hook from tests/unit/conftest.py on main (#44146). Without it the asystemone call type test picks up adecisions callbacks queued by earlier tests in the same worker
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
