* ci: add dashboard and core smoke checks across supported Python versions
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* ci: tighten merge smoke harness and keep mapped test diffs additive
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* ci: terminate proxy on readiness timeout and use contextlib.suppress in teardown
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: yuneng <yuneng@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(bedrock): send json_schema as a forced tool on Claude Opus 4.7 and 4.8 Converse
Bedrock rejects outputConfig.textFormat on Opus 4.7 and 4.8 with
"output_config.format: Extra inputs are not permitted", and the AWS
model cards list structured outputs as not supported for both, so
their cost-map entries no longer claim supports_native_structured_output
and json_schema requests fall back to the json_tool_call tool.
Fixes#27846
* test(bedrock): assert Opus 4.7 and 4.8 inline the schema on Invoke, move the native case to Sonnet 4.6
---------
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
* fix(bedrock): stream /v1/messages Invoke bytes through instead of holding them in a 1024-byte chunker
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* style(bedrock): apply ruff format to invoke messages stream passthrough
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* style(bedrock): drop drive-by reformat of existing invoke messages tests
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(bedrock): collect streamed chunks into a tuple in passthrough regression test
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(bedrock): give the passthrough regression test a 10s first-chunk budget
* test(bedrock): type the eventstream frame helper's payload as Mapping[str, object]
* test(bedrock): take the gated byte stream's chunks as an immutable Sequence
---------
Co-authored-by: mateo <mateo@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>
* fix: repair seven regressions caught by CircleCI on main
- vertex_ai: stop treating fine-tuned endpoint ids (numeric or
vertex_ai/gemini/<id>) and gemma models as Gemini 3+, which injected
temperature=1.0 and Gemini 3 thinking config into their requests (#42465)
- cost: price Azure DALL-E 3 from its azure/<quality>/<size>/dall-e-3 rows;
it only worked through the OpenAI rows that #42435 removed
- bedrock: stream bedrock/invoke/moonshot through an OpenAI-shaped chunk
decoder; the generic decoder dropped every chunk, which the
supports_response_schema flag from #42338 un-skipped in CI
- proxy: keep the public model_group on pre-routing rejections so the Usage
page groups them under the model name, not the deployment (#41077)
- cost map: mirror the base rows' capability flags onto Bedrock regional and
cross-region copies (#42254 and later syncs)
- whitelist the new regional Bedrock rows from #42543 and #42588 for the
converse routing check, following the existing regional-row convention
* fix(model-prices): mirror capability flags onto ap-southeast-3 bedrock rows
* refactor(bedrock): tighten types on the moonshot stream decoder and its tests
* test(e2e): pin bedrock batch create with blank S3 env vars
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(bedrock): treat blank S3 env vars as unset for batch jobs
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(e2e): trim blank S3 env gateway config
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(e2e): register blank_s3_env capability and clean gateway tempdir
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(e2e): move blank S3 env batch test to its own module
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: yucheng <yucheng@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
The two redaction tests raised the deprecated InvalidStatusCode, which the
websockets 15 asyncio client never raises, and asserted the raw 403 close
code that the handshake refusal path replaced with 1008. The refusal path
builds its close reason from the status code alone, so there is no secret
to redact there, and the handshake refusal tests already cover the error
event and the 1008 close.
Those refusal tests only passed when run after a sibling test had imported
websockets.asyncio.client, since websockets lazy-loads its exceptions
submodule. Importing InvalidStatus, Response, and Headers from their own
submodules makes them pass in any order.
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
* fix(ollama): send PNG and JPEG images without requiring Pillow
The ollama/ completion transport imported Pillow before it looked at the image, so every image request failed with a 500 on installs without Pillow. That includes the Docker image, where Pillow is only a CI dependency
Detect PNG and JPEG from their leading bytes and pass them through untouched. Pillow is now imported only when another format has to be re-encoded as JPEG, and that case still raises the same install hint
* fix(ollama): address Greptile findings on image conversion
Catch all exceptions on Pillow import, not just ImportError, so the helpful
install hint always appears. Break a line that exceeded 120 characters
* fix(anthropic): skip non-dict content items in beta-header and file-id helpers so malformed content lists return 400 instead of 500
Fixes#42094
Supersedes #42101
Co-authored-by: Pawan-Shahane <shahanepawan511@gmail.com>
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(e2e): spawn the DB-less regression proxy with -P so the cwd cannot shadow the pinned checkout
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(e2e): launch the DB-less proxy via -I -c with an explicit sys.path so python 3.10 works, drop DIRECT_URL, remove restating docstrings
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(e2e): gate the self-booted DB-less proxy behind the owned_gateway opt-in the Buildkite container cannot satisfy
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(anthropic): move the bare string content item repro to tests/integration
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* style(tests): wrap the anthropic bare string wire test to the 120 column limit
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* style(tests): wrap anthropic common_utils test literals to the 120 column limit
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* style: fix ruff findings in touched test files
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: kerry <kerry@berri.ai>
Co-authored-by: Pawan-Shahane <shahanepawan511@gmail.com>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* chore(cost-map): remove models past their deprecation date
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(cost-calc): drop the empty parametrize left behind by the gemini web search removal
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(cost-map): drop merge base block left by conflict resolution
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(cost-calc): drop gemini image cost tests pinned on removed model
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: kerry <kerry@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(fal_ai): honour global api_base for image generation and reject non-string reasoning_effort with 400
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(fal_ai): add return annotations to reasoning_effort regression tests
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(fal_ai): move the LIT-8340 repro from tests/e2e to tests/integration
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: kerry <kerry@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(fal_ai): reuse the status client and headers on the video result probe
The Fal result GET issued after a COMPLETED status poll built its own default
client and only carried Authorization and Content-Type, so an injected client,
a request-level ssl_verify and extra_headers were honored on the status GET but
not on the result GET, and a transport failure on that probe escaped as a 500.
The handler now hands the selected sync or async client to the provider status
transform, Fal reuses it with the full validated header set, and a probe
transport error stays non-terminal like the existing 429 and 5xx handling
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(fal_ai): mark the result probe header dict as mutable-ok for the type discipline gate
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(fal_ai): move the result probe repro to tests/integration
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(e2e): restore the shared e2e helpers to the merge base
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: kerry <kerry@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(fal_ai): align /fal_ai queue gate with the pricer and normalise resolution type
The /fal_ai gate admitted catalog keys the Fal pricer cannot price, so
those jobs were forwarded and logged at 0.0 spend. The gate now reuses
the pricer as its eligibility predicate. Resolution is normalised to a
string before the keyed price lookup so int and str spellings bill the
same.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(fal_ai): assert passthrough pricing invariants on synthetic catalog entries
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(fal_ai): price the submitted body in the /fal_ai queue gate so keyed-only entries are admitted
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(fal_ai): move the queue gate repro to tests/integration
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: kerry <kerry@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(langsmith): json.dumps with default=str so non-serializable metadata does not crash batch flush
Serialize the runs/batch payload with json.dumps(default=str, allow_nan=False) and send it as content= with an explicit Content-Type, so datetime, Decimal and similar metadata values no longer raise TypeError and drop the batch. Forward content= on the AsyncHTTPHandler retry path so a retried batch re-sends the identical body
Replaces #39133, which was cut from the retired staging branch and conflicts with main
Co-authored-by: Damien Smrt <dsmrt@users.noreply.github.com>
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(langsmith): drop test docstrings and replace monkeypatch with a client-injecting handler
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(langsmith): add live e2e for non-native metadata reaching LangSmith
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(langsmith): scope the e2e docstring to the values the test injects
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(http_handler): close injected retry clients
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(e2e): deselect the LangSmith live e2e on the stage-mirror stack
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: yucheng <yucheng@berri.ai>
Co-authored-by: Damien Smrt <dsmrt@users.noreply.github.com>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(fal_ai): e2e for minimax h3 auto duration and oversized size
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(fal_ai): keep auto duration literal and make h3 tier lookup total
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(fal_ai): omit duration for h3 when seconds is auto
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(fal_ai): move the minimax h3 auto duration and oversized size repro to tests/integration
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: kerry <kerry@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix image cost: honor deployment pricing
* fix types: coerce fal deployment price, drop private import
* fix: forward every custom pricing field through get_litellm_params
* test: assert optional keys are absent, not merely None, in get_litellm_params
* test: type the deployment image pricing test parameters
* fix: bill deployment per-image and per-pixel prices on unlisted image models
* test: type the remaining image cost test parameters
---------
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
* fix(realtime): surface an upstream handshake refusal as an error event and policy close
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(realtime): tidy the handshake refusal e2e
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(realtime): keep upstream exception text out of the Azure client error
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(realtime): map handshake refusal close codes with a lookup
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>
* fix(bedrock/claude_platform): strip body params the AWS endpoint rejects
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(bedrock/claude_platform): assert exact bodies through a strict fake gateway for every workspace alias and auth mode
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(proxy): block Claude Platform workspace id aliases in request bodies without admin opt-in
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: Venkata Donavalli <vdonavalli@live.com>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: shrey kharbanda <shreshth@berri.ai>
* fix(anthropic_adapter): keep reasoning_effort a string for targets that stay on chat completions
* fix(anthropic_adapter): judge the summary bridge with the deployment's api_base
The adapter's bridge check now resolves the provider and base the same
way completion() does, passing the deployment's api_base and api_key
into get_llm_provider and the resolved base into the bridge check, so a
Foundry deployment lands on the same route in both places and a bare
model name routed by its api_base still gets the plain tier.
A litellm_proxy target keeps the dict, since the upstream gateway makes
its own bridge decision and needs the summary to make it.
* refactor(anthropic_adapter): return the plain effort instead of writing it inside the helper
---------
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
* fix(responses): drop client_metadata before bridging to chat completions
Codex CLI sends client_metadata on every /v1/responses call. For a
provider with no native Responses config the chat-completions bridge
forwarded the raw kwargs, so client_metadata reached the provider as a
chat body field and Databricks rejected the request with an unknown
field 400. The bridge now drops the Responses-only request fields
before calling completion while still passing every other kwarg
through, so deployment-level params such as chat_template_kwargs keep
reaching providers without a native config.
* fix(databricks): merge consecutive system messages for chat-template models
Codex sends instructions plus a leading developer item, which the Responses
bridge and the developer-to-system translation turn into two consecutive
system messages that Databricks chat-template models reject with "System
message must be at the beginning". Each run of consecutive system messages
is now merged into one before the request is built for non-Claude models.
Also keep client_metadata out of the bridged chat request even when
allowed_openai_params names it, so both bridge branches drop the same set.
* fix(databricks): skip empty system messages when merging consecutive ones
Databricks drops empty content before the merge, so a system message in a
run could carry no content key and the merge iterated None. Those messages
are now skipped; a run with no content at all keeps its first message.
---------
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
* refactor(agentic-loop): build follow-up kwargs in one place so no executor can repeat a request param
The Responses and both chat completions follow-up executors each rebuilt the follow-up kwargs by hand and then expanded them next to the request params, so a plan whose kwargs repeated a request param raised a duplicate keyword TypeError. They now share build_agentic_followup_kwargs, which drops any key already sent as a request param (and the explicitly passed model/input/messages) from both the request kwargs and the plan kwargs. Each executor keeps its own internal-key filter unchanged, and the /v1/messages executor is untouched because it merges into a single dict and cannot hit this.
* test(agentic-loop): move follow-up regressions into their mapped test files
Greptile review: the executor regressions belong in test_llm_http_handler.py and test_chat_completion_agentic_loop.py rather than a split-off file, and the builder test helper returned a read-only mapping while promising a dict. The Responses overlap test is dropped because #41560 already added the same one to the mapped file.
---------
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
* fix(proxy): release unclaimed budget reservations at request end
* fix(proxy): release unclaimed budget reservations of websocket sessions too
* test(proxy): drop the structural middleware inheritance check
* fix(proxy): claim the budget reservation on streaming pass-through before its cost callback
The SSE chunk processor hands its success handler to the logging worker
after the response, so the request-end release freed the reservation
first and left the key unguarded until the worker drained. Claim it at
both end-of-stream hand-offs, the immediate enqueue and the coroutine
parked for deferred dispatch.
Give the xai realtime test double the litellm_params attribute every
real Logging object carries, since the wrapper now reads it.
* test(pass-through): give the vertex streaming test doubles a litellm_params dict
The spec'd Logging mocks in test_vertex_ai_anthropic_streaming_cost_injection.py
lacked the instance attribute the chunk processor now reads to claim the budget
reservation. Also restores main's _lazy_openapi_snapshot.json: the branch's copy
had been regenerated under Python 3.14, which dedents one docstring description
that the CI regeneration on Python 3.12 keeps indented, and the PR adds no lazily
loaded route, so main's file is the correct one.
* fix(pass-through): claim the budget reservation only after its cost callback is enqueued
Every pass-through success hand-off stamped callback_bound before handing the
coroutine to the logging worker. When that enqueue raised, the reservation stayed
claimed with no callback left to reconcile it, so the request-end release skipped it
and the reserved cost stayed pinned on the key's counter. Enqueue first, then claim,
so a failed hand-off leaves the reservation for the request-end release.
---------
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
* fix(fal_ai): price non-canonical image sizes from the nearest row and honour dump options
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(fal_ai): drop monkeypatched mixed pricing case
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(fal_ai): use the default dimensions constant directly
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(fal_ai): forward nested include and exclude when dumping image data
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(fal_ai): honour pydantic item selectors in image data serializer
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(fal_ai): match negative item selectors in image data serializer
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: kerry <kerry@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* feat(fal_ai): add flux-lora-depth image edits and moondream3 chat completions
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* chore(fal_ai): retrigger codecov processing
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(fal_ai): reject multi-turn and system messages for moondream3 chat
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(fal_ai): return 400 for invalid moondream3 chat requests
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(fal_ai): reject moondream3 responses missing output or usage
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(fal_ai): reject streaming moondream3 requests before dispatch
stream never reaches optional_params, so the transform_request check could not fire; reject in _complete_fal_ai on ctx.stream
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: kerry <kerry@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(bedrock): sign batch S3 requests with s3_access_key_id and s3_secret_access_key
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(bedrock): keep S3 signer test additions scoped to new cases
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(bedrock): drop e2e suite changes from the S3 signing fix
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(bedrock): build S3 credentials directly from the s3_* pair so ambient AWS_* env never mixes in
Restores the split-identity e2e coverage
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: yucheng <yucheng@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
- fix(bedrock): send every Mantle beta in the anthropic-beta header on the bedrock/mantle route
- refactor(bedrock): type the Mantle header helper and build the header fields in one comprehension
* fix(guardrails): scan video prompts for key-attached guardrails on /v1/videos
/v1/videos dispatches call_type avideo_generation, which CallTypes did not
know and no guardrail translation handler covered, so the unified guardrail
hook returned the request unscanned. Add the video call types and an OpenAI
video guardrail translation package that scans the prompt for create, remix,
edit and extension requests
Resolves LIT-6685
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* chore(ui): regenerate api types for video call types
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test: skip avideo_generation in azure sdk client exhaustive check
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(e2e): retry a leaked video job until the guardrail sync deadline
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(guardrails): satisfy the type-discipline gate in the video handler
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(guardrails): gate the video e2e on a chat probe so a miss starts at most one paid job
Addresses Greptile review: typed RewritingGuardrail override, dropped routine docstrings, and the e2e waits for the key guardrail to sync via /chat/completions before its single /v1/videos call
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
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Co-authored-by: yucheng <yucheng@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
The stream chunk builder started its per-chunk accumulators at 0 and adopted only nonzero counts, then fell back to litellm's tokenizer whenever the accumulated value was falsy, so a provider that reported an explicit 0 for prompt or completion tokens was billed the estimate instead. The accumulators now start at None, a usage chunk that reports a count marks it reported (a later chunk's 0 never replaces a reported nonzero), and the estimate only runs when no chunk reported the count. The Anthropic message_start cursor reset now yields None so the estimate still covers a cancelled stream, and Ollama chat streaming only attaches usage on the done chunk when both counts are present instead of inventing 0/0 on every chunk
