* fix(bedrock): bill the regional row for inference-profile ARNs that embed a cross-region prefix
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(bedrock): keep the ARN regional-row regression tests to the touched lines
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(databricks): accept service_tier on requests and carry the served tier on responses
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(databricks): mark the in-place service_tier store as rebind-ok
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* style(databricks): wrap the service_tier store to the line limit
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(databricks): keep the rebind-ok suppression on the service_tier line
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(databricks): only set service_tier on responses when the upstream returned one
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(databricks): name the B010 suppression on the service_tier setattr
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(databricks): shorten the service_tier suppression to the line limit
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(responses): read service_tier from the Responses request only
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* feat(edenai): settle native Messages reported cost
* test(rust): add live EdenAI Messages contract cases
* refactor(rust): settle call cost once as an ExecutionFacts variant
The route now decides Cost (Reported, CacheHit or Deferred) from the
result source and the provider's reported figure. The legacy callback
adapter only projects a Reported amount onto provider_reported_cost and
no longer writes response_cost, which the Python calculator derives
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
* refactor(rust): keep EdenAI wire shaping independent of Invoke
* style(rust): format cost settlement imports
* fix(rust): trust provider costs without bypassing configured pricing
* fix(rust): clear untrusted response costs before spend settlement
---------
Co-authored-by: Claude Fable 5.1 <noreply@anthropic.com>
* fix(cost_calculator): apply the anthropic fast multiplier to cache cost breakdown
Anthropic fast mode billed totals at provider_specific_entry.fast while the
spend log cost_breakdown kept cache_read_cost and cache_creation_cost at 1x.
Move the speed lookup into a shared helper, multiply it into the billed token
rates used by get_token_type_cost_breakdown, and have the Anthropic calculator
read the same helper so totals and breakdown cannot drift apart.
Production change carried from #44074.
Co-authored-by: kerry <kerry@berri.ai>
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(cost_calculator): narrow the provider entry instead of defaulting to a dict literal
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: kerry <kerry@berri.ai>
* test(responses): pin bridged commentary plus final answer as one chat choice
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(responses): pin reasoning, two-message and two-tool-call bridge shapes
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(responses): number bridged chat tool calls 0, 1 instead of all 0
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(gemini): tool-use prompt tokens must be priced as input
Signed-off-by: Delweng <delweng@gmail.com>
* fix(gemini): price tool-use prompt tokens as input
toolUsePromptTokenCount was folded into usage.prompt_tokens but left out
of prompt_tokens_details.text_tokens, and generic_cost_per_token bills
input from text_tokens, so URL context / code execution / File Search
tool tokens were counted but never charged. Search-grounded responses
keep adding zero via the grounding-aware billable count, and
promptTokensDetails absent still leaves text_tokens None so billing
falls back to the full prompt_tokens
Signed-off-by: Delweng <delweng@gmail.com>
---------
Signed-off-by: Delweng <delweng@gmail.com>
* fix(responses): fold bridged Responses output into one chat choice
A Chat Completions request bridged to /responses got one choice per
Responses message item, so a reply shaped [message, message,
function_call] put the tool call on choices[1] and clients reading
only choices[0] never saw it. Fold every message text, annotation,
reasoning item and tool call into choices[0]
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(responses): drop mutable annotations and the extra cast in the choice fold
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(responses): remove a cast-ok marker that suppressed nothing
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(responses): join folded message texts with a newline
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* revert(responses): join folded message texts with no separator so stream and non-stream match
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* feat(otel): let a team or key excluded_services override the global setting for its OTel v2 destination
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* style: ruff format otel excluded_services changes
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test: use raw regex for excluded_services match
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(otel): reject non-string destination callback vars
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(otel): harden destination callback var validation
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(otel): compare parsed values in callback var conflict check
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>
* Add user field to AI Guard execute-policy payload for dashboard attribution
Send the top-level OpenAI request `user` field in the execute-policy
JSON payload so AI Guard can surface usernames on its dashboard. This is
independent of the existing user_api_key_* headers which remain unchanged.
The upstream guardrail framework already passes the original request_data
(containing the `user` field) through to response-path guardrail calls,
so this works for both IN and OUT directions including streaming.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* Apply suggestion from @greptile-apps[bot]
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
* Add type annotations and tests for user field in execute-policy payload
- Add Final annotation to user_for_payload
- Add str | None type to user parameter in make_zscaler_ai_guard_api_call
- Add 3 tests: user included when present, omitted when absent,
and user in/out of JSON body sent to AI Guard
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* test(zscaler_ai_guard): inject the http client in user field tests
Pass an AsyncHTTPHandler into ZscalerAIGuard so the user field tests read the
real execute-policy body off a MockTransport instead of patching class methods,
and drop the comments that restated the lookup
* fix(zscaler_ai_guard): forward only non-empty string users
Read the request user through a typed helper and type the execute-policy call
params so basedpyright stays under the merge-base count, and skip non-string
values the vendor rejects with a 500
* test(zscaler_ai_guard): drop the test-only http_client
Run the user field tests against an in-process aiohttp server through api_base
so the guardrail keeps its original constructor
---------
Co-authored-by: Syamala Keerthana Chegu <schegu@zscaler.com>
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
Co-authored-by: yucheng-berri <293926326+yucheng-berri@users.noreply.github.com>
* fix(proxy): keep the personal budget on a proxy-admin user object
A token carrying the proxy_admin role (JWT admin scope, SSO) replaced the fetched LiteLLM_UserTable row with a bare admin object, so max_budget never reached common_checks and admins spent past their personal budget on /chat/completions. Keep the row and force only user_role.
Co-authored-by: L4XB <lukas.buck@e-mail.de>
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(e2e): budget denial for a proxy-admin JWT is the 422 ExceededBudget response
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(proxy): carry only the personal budget onto a forced proxy-admin user object
Keeping the whole DB row also carried its models list, so a proxy admin
whose row had no-default-models or a restricted list got 403 on personal
requests. Build the admin object as before and copy max_budget and
user_email across. The built-in admin identity (the master key and the UI
username/password login) keeps ignoring its row's budget.
* test(proxy): pin the contrast case in the admin model-list and admin-name budget tests
Each test now also shows the same cached row refusing a non-exempt token, so the
pass case cannot go green on a row the gate never read.
* test(e2e): drive the personal-budget case with a proxy_admin user row and a plain JWT
The Buildkite stack keeps the default admin_allowed_routes, so an admin-scope JWT
gets 403 on /chat/completions before any budget check and the case could never
pass there. A plain token whose sub resolves to a proxy_admin row goes through the
same forced-admin rebuild. Drop the stage-mirror admin_allowed_routes edit, which
the deployed stack never read.
* ci: rerun e2e after an unrelated Gemini streaming spend-row timeout
---------
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: L4XB <lukas.buck@e-mail.de>
Co-authored-by: yucheng-berri <293926326+yucheng-berri@users.noreply.github.com>
* feat(sagemaker): inference components and OpenAI-compatible embeddings
Send model_id on a SageMaker embedding deployment as the invoke call's
InferenceComponentName, sync and async, and keep it out of the request body.
Add the sagemaker/openai/<endpoint> route, which sends the OpenAI embeddings
request shape ({"input": [...]} plus extra_body fields) and reads
data[].embedding and usage from the response for containers that serve the
OpenAI embeddings API. Plain sagemaker/<endpoint> deployments keep the
Hugging Face shape
* refactor(sagemaker): type validate_environment messages and cover base64 embeddings
* fix(sagemaker): name model_id in inference component errors and reject a non-string model_id on embeddings
* fix(sagemaker): fall back to the error text when SageMaker sends a null message
A ClientError whose Error.Message is null (SageMaker's InternalFailure shape) reached the
inference component hint as None and crashed with a TypeError; the message now falls back
to the error's own text on the chat and embedding paths
* test(sagemaker): audit matrix for inference-component embeddings
* fix(sagemaker): read the error status and text through one shape-checked helper
botocore's ConnectionClosedError carries response=None, so the except blocks that
read e.response.get(...) crashed with an AttributeError and the proxy answered 400
"Invalid request format" for a dropped connection. client_error_details validates
the botocore error shape with pydantic and falls back to 500 plus the error's own
text for any other shape (a missing response, an httpx Response, a plain exception).
* fix(sagemaker): drop the inference component hint from chat and derive the SDK wire expectation from the request
The chat except blocks never see SageMaker's text: HTTPHandler.post raises from
raise_for_status before the handler's own SagemakerError line, so the hint check ran
on httpx's generic "Client error '400 Bad Request' for url" line and could not match on
any chat path. The hint now names litellm.embedding only and the chat blocks keep the
status and text they had, without the dead check. The two OpenAI SDK wire tests pinned
the SDK's default encoding_format; they now expect whatever the SDK sent.
* refactor(sagemaker): meet main's per-rule lint and type ceilings
Main started gating every lint rule on its merge-base count and added LIT015
(frozen pydantic models) after this branch was cut, so the merge with main
pushed LIT001, LIT011, LIT015, BLE001 and reportArgumentType past their
ceilings. The response models are frozen with tuple fields, the OpenAI
embedding response is built with model_copy instead of writing into the
caller's object, the invoke_endpoint arguments are a TypedDict, and
optional_params and extra_body are validated into Mapping[str, object] before
they are read
* refactor(sagemaker): pick the embedding config in one place and stop pinning upstream error text
The openai/, Voyage and Cohere checks lived in both get_model_config and
get_supported_openai_params, so they now share one lookup. Tests compare error
messages against the error's own text, or against botocore's and json's own
wording, instead of copying that wording, and assert whole messages where the
text is ours
* fix(caching): key direct calls on model_id so inference components don't share cached embeddings
* test(sagemaker): name the fake-boto3 SDK test class for what it covers
* test(sagemaker): kill and stop chaos workers through the owned-proxy harness
---------
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
cost_discount_config keys may now be <provider>/<model-pattern> with fnmatch globs, so a discount can target a subset of a provider's models. An exact pattern beats a glob, the glob with the longest literal wins, and the bare provider key is the fallback. PATCH /config/cost_discount_config validates the provider half only, and the admin UI cost tracking page gains a Model pattern field and a Models column
Resolves LIT-8465
Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
A caller hitting /v1/messages with a cache_control mark and an OpenAI
gpt-5.6 or newer deployment behind it lost the mark when the request was
rebuilt as a Responses request, so OpenAI never cached at the boundary the
caller chose. The bridge now rewrites each marked system, user and
tool_result block to prompt_cache_breakpoint on the same block when the
deployment reads breakpoints, keeps the system prompt as a developer
message so its mark survives, and still strips the mark for deployments
that do not read it
The hook's gate becomes public so the bridge and the hook share one
answer for which deployments read breakpoints, and the one-block swap
lives next to the existing breakpoint helper in prompt_templates
* feat(providers): add CoralBricks as a native provider
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(coralbricks): harden cost map consistency tests
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(coralbricks): type cost helpers, read cost maps from disk, cover streaming spend
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(coralbricks): drop Final on loop-rebound names
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(coralbricks): add the provider audit cells, the Add Model browser cell and the README row
* test(coralbricks): derive UI spend from model info, type browser rows, always release held upstream
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(coralbricks): release held upstream before the wire server joins its threads
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(coralbricks): number forwarded chats with itertools.count instead of a mutable list
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(coralbricks): drop retired glm-5.3-flash-fp4 and test against deepseek-v4.1-flash-fast-fp4
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(coralbricks): pin retries, await the respawned worker, read the UI rate from the catalog
The retry cells now set num_retries on the deployment, since the CI rig posts
router_settings.num_retries 0 after readiness and the router default of 2 no
longer applies there. The SIGKILL chaos cell waits for the respawned worker's
startup before the owned proxy is stopped and derives its timeout from the
harness budget. The Add Model spec waits for the catalog the form loads, reads
the expected rate from it, and finds the deployment through /v1/model/info,
which does not paginate
* fix(coralbricks): price the current model names and the new DeepSeek input rate
CoralBricks renamed glm-5.3-fp4 to glm-5.3-fast and deepseek-v4.1-flash-fast-fp4
to deepseek-v4.1-flash-fast (the fp4 names stay as deprecated aliases), and cut
DeepSeek V4.1 Flash input from $0.30 to $0.01 per 1M on 2026-10-08. Rates read
from https://www.coralbricks.ai/api/public/models on 2026-10-10; a live cache
write billed 6014 tokens at 9e-08 each, so the cache-write rate stays input
plus cacheWritePerM.
The test config builders now build new dicts instead of editing the parsed
YAML, and the cost-map test locals carry Final.
* fix(coralbricks): keep pricing for the deprecated fp4 slugs CoralBricks still serves
* fix(coralbricks): list the catalog rows for wildcard deployments and derive the test's input limit from the row
* fix(coralbricks): price the deprecated glm-5.3 and deepseek-v4.1-flash slugs
---------
Co-authored-by: Mubashir Osmani <mubashir@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>
* feat(dd_span_tagger): emit litellm_user_email span tag for JWT-authenticated requests
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(dd_span_tagger): use dotted litellm.user_email tag for consistency
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* feat(model_hub): surface model_info.description in model group info and Model Hub UI
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(router): aggregate model group description without in-place mutation
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(health): skip background health check DB writes when the latest-row read fails
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(bedrock_mantle): map the OpenAI-shaped context overflow envelope too
Mantle reports context overflow in two envelopes. #37862 covered the
structured `validation_error` one carrying token counts
("prompt tokens (N) exceed model maximum (M)"). Mantle also returns the
OpenAI-shaped body:
{"error":{"code":"context_length_exceeded","message":"Your input
exceeds the context window of this model. ...","param":"input",
"type":"invalid_request_error"}}
That passes the existing `invalid_request_error` gate but matches neither
the token-count pattern nor `is_error_str_context_window_exceeded`'s
substring list, so it fell through to a generic BadRequestError. Clients
such as Claude Code only reactive-compact on a recognised overflow
phrase, so an overflowing request surfaced as an ordinary error with no
recovery.
Return the same normalised "prompt is too long: ..." message for this
envelope when it carries no counts, keeping the numeric wording when the
provider supplies them.
* fix(bedrock_mantle): map the streamed context overflow and keep its 400 on /v1/messages streams
* fix(anthropic_adapter): keep only the context overflow's 400 on streamed /v1/messages so other provider 4xx still fall back
* test(anthropic_adapter): wrap a parametrize line over the 120 char limit
* test(integration): audit Bedrock Mantle context overflow mapping across routes, clients, and fallbacks
* test(integration): move the streamed /v1/messages overflow spend row into a BUG-skipped test
* test(integration): keep every chaos cell in the burst and skip only the missing spend row
* fix(bedrock_mantle): answer 400 on an in-stream context overflow
The Mantle overflow mapper built its ContextWindowExceededError on the
original exception's response, so an overflow that Mantle reports inside
a 200 stream (the chat-mode token-count envelope, which the OpenAI chunk
parser wraps as a 500) kept that 500 and the streamed /v1/messages route
answered HTTP 500 api_error instead of 400 invalid_request_error. The
mapper now builds the error on a 400 response that keeps the original
headers and request, and the mapping test covers an in-stream 500 and 503.
The integration suites pin the streamed /v1/messages overflow to the
pre-content 400 route under a retry budget and to the message_start plus
invalid_request_error event without one, drop the chaos carve-out that
expected no spend row, and give the fallbacks file a timeout mark sized to
the proxy's graceful stop.
* fix(bedrock_mantle): keep the provider's 400 body and match the overflow code only as error.code
---------
Co-authored-by: milan <milan@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: ryan-crabbe-berri <ryan@berri.ai>
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
* feat(decisions): bill decisions and systemone from <provider>/decisions/<model> cost map rows
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* feat(decisions): mark decisions pricing rows with mode decisions
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(ui): sync generated API types for decisions mode
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(decisions): update pricing expectations in proxy tests
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(decisions): price classifier calls from decision rows
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(health): drop redundant evaluation handler after main merge
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(decisions): inject pricing row for deployed classifier
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(decisions): ship the decisions pricing lookup without cost map rows
Restore both cost maps to main. Tests inject their own
<provider>/decisions/<model> rows. The Add Model dropdown hides those
pricing keys and offers mode decisions instead of evaluation.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(ui): expect the Decisions mode option in the Add Model form
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* feat(decisions): bill decisions and systemone from _decisions cost map fields
Replace the provider/decisions/model pricing rows with <field>_decisions
fields on the model's own row. cost_per_token overlays them for the
decisions, adecisions, systemone and asystemone call types and prices
through generic_cost_per_token; chat, responses and batch keep the plain
fields. gpt-6-luna gains its Decisions rates (input 1e-07, output 0,
cached and cache-write input 1e-07, 2x above 272k tokens).
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(decisions): satisfy type gate, schema sync and test_utils schema for _decisions fields
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(decisions): import cost_calculator module to keep basedpyright unknown-variable count flat
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(decisions): drop stray fireworks import from __init__ and annotate test cost rows for the type gate
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(integration): cover gpt-6-luna decisions and systemone above the 272k tier
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(decisions): keep the decisions pricing block clear of main's stale azure comment
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* chore(cost_calculator): drop stale azure models doc comment
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(proxy): skip failure rows for expired Admin UI session keys on dashboard info routes
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(proxy): mark DB-boundary write assertion as test-quality-ok
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>
* feat(decisions): support Clef-omni audio and video
* fix(decisions): accept Clef-omni media types with parameters and cover the proxy routes
The clip patterns now mirror Cloudflare's input schema, so a data URL or
content_type carrying parameters like audio/webm;codecs=opus is accepted.
The four proxy routes get media tests of their own, the backup cost map
is synced with the new Clef-omni rows, and the docs page moves to the
docs repo as a follow-up.
* fix(decisions): refuse parameterized media-type data URLs and refresh the OpenAPI snapshot
Cloudflare answers 422 to a data URL whose media type carries parameters even though its schema only requires the data:audio/ prefix, so LiteLLM now refuses those with a 400 before the call. The object form keeps passing parameters through, which Cloudflare accepts. The lazy OpenAPI snapshot and the dashboard API types are regenerated for the new audio and videos fields
* fix(decisions): gate media by cost-map flags, treat null clips as none, drop unsupported clips before validation
* fix(decisions): keep the SDK's positional order and gate media flags on evaluation-mode models
* fix(decisions): gate media on both decisions model modes and move the audit cells onto the harness helpers
* test(decisions): cover the Fireworks System One router in the media refusal cells
---------
Co-authored-by: moyai-devin-berriai[bot] <336287033+moyai-devin-berriai[bot]@users.noreply.github.com>
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
* fix(gemini): do not inject temperature for Gemini 3+ models when omitted
map_openai_params added temperature=1.0 to every Gemini 3+ request that did not set one, on both the gemini and vertex_ai routes. Google is deprecating temperature, top_p and top_k for Gemini 3+ and says upcoming models will reject them, so this default turns a request that never set temperature into one that will fail
An omitted temperature now falls back to Google's own default, which their docs give as 1.0 for all Gemini 3 models. Explicit temperature, top_p and top_k are still forwarded
Fixes#38663
* test(gemini): annotate sampling regression tests
* test(gemini): drop the injected temperature from Gemini translation cases
The nine Gemini base cases for chat completions, responses and messages send no temperature, so the provider request no longer carries the removed 1.0 default. Each new body was sent to the real Gemini API for gemini-3.5-flash, gemini-3.8-flash and gemini-3.1-pro-preview and returned 200, and the stored provider responses are unchanged
* test(gemini): drop the default-temperature wording from the thinking level test docstring
* test(gemini): cover omitted and explicit sampling on both Gemini routes
---------
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
* feat(model_prices): add meta/muse-wonder-1.0
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(model_prices): mark muse-wonder-1.0 as not supporting reasoning_effort none
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(fireworks_ai): add Decisions support for accounts/fireworks/routers/rune on /v1/systemone and /v1/decisions
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* chore(fireworks_ai): point the rune cost row at the public Fireworks docs
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(decisions): patch litellm.callbacks with monkeypatch in the Fireworks cached-cost test
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>
* test(managed_files): pin ownership checks on batch and fine-tuning create
Tenant B can create a batch or fine-tuning job from tenant A's managed
file id today. These fail on main for acreate_batch input_file_id and
acreate_fine_tuning_job training_file and validation_file
* fix(managed_files): check input file ownership on batch and fine-tuning create
Batch create and fine-tuning create only mapped the managed input file to
provider ids and never checked who owned it, so any key with access to the
model could build a batch or job on another tenant's file and then own the
outputs. Both now run check_file_ids_access like chat and responses do,
which 403s a non-owner and 404s a managed id with no ownership row.
Fine-tuning also checks validation_file, which was never looked at
* test(batches): pin that a pre-call ownership denial stops every batch create branch
LIT-4797 noted an endpoint-level check missed the load-balanced branch
because it dispatches first. The ownership check lives in the pre-call
hook, which runs before branch selection, so a 403 there must keep both
the load-balanced and unified-file branches from reaching the router
* test(integration): pin managed-file ownership on batch and fine-tuning create
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(managed_files): check ownership before the batch rate limiter reads the input file and keep key-owned resources across key regenerate
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(integration): build worker stacks concurrently and record proxy boot phases
The controller built every xdist worker's database, Redis, upstream and gateway
proxy one after another before any test ran, about 95 s per extensions shard,
and since every multi-worker suite is now isolated the same serial wait hits
mcp, security and cost too. The stacks now start on a thread pool bounded by
the CPU count. Each stack reads its endpoints and results directory from an
explicit environment instead of a patched os.environ, every stack that started
is registered for cleanup, and a failure in one stops the others before the
error is raised
Owned proxy startup.json now records the wall-clock spawn time, the worker
count and when the Prisma CLI child ran, when the port started accepting and
when the first worker answered readiness, and exit.json records when the stop
started and ended, so the boot time can be split and overlapping gateway boots
can be seen in the artifacts
* test(integration): boot one uvicorn worker where a test does not assert cross-worker behaviour
A 2-worker owned proxy takes about twice as long to become ready as a 1-worker
one, because the uvicorn parent imports the app and each spawned worker imports
it again. The passthrough upstream error visibility cases, the single-request
S3 dedupe cases and the single-request spend log payload cases send one or two
requests and assert on the response, the proxy log and the spend row, none of
which depends on a second worker, so they now boot the default single worker
Cases that do rely on two workers keep them, the concurrent S3 burst through a
sink outage, previous_response_id replay, response cache hits, the concurrent
spend bursts and upstream stop and recovery
* test(observability): settle OTel excluded-services traces by a quiet period instead of a full window
_trace_spans slept through its whole 15 or 30 s window on every call even when
the trace had long stopped growing. It now polls and returns once the trace
has spans and has not gained one for five tenant export intervals, and the
module pins the tenant batch exporter's schedule delay to 1 s so that bound is
set by the test rather than by the SDK default. Absence checks still run only
after the trace stopped growing, and against a build that leaks postgres spans
to the tenant they still fail
These cases also boot one uvicorn worker now. None of them asserts anything
about a second worker
---------
Co-authored-by: Yuneng Jiang <yuneng@berri.ai>
* test(integration): give chaos and timing tests a harness API and gate raw signals
Chaos tests killed and suspended proxy workers with raw os.kill and psutil
calls and bounded elapsed time with fixed literals, so they raced the uvicorn
worker healthcheck and failed on slow CI boxes
OwnedProxy now offers kill_worker and replacing_worker, which return only once
a replacement answers readiness with its own pid, and suspended, which is
refused unless the proxy was launched with a lenient worker healthcheck.
timing.py bounds durations against a measured control or the injected delay.
run.py measures the proxy import time once and derives readiness deadlines and
the per-test timeout from it, writing boot-calibration.json
check_test_quality.py adds TQ010 (raw process signals) and TQ011 (elapsed time
asserted under a numeric literal) for tests/integration outside _support, and
every call site is migrated so both report zero with no suppressions
* test(integration): steer the assistants wire burst onto both workers
The mixed-status burst assumed the OS would spread 48 connections across both workers and failed when one worker took them all. Each half is now sent while the other worker is suspended, and the test asserts an exact 24 and 24 split
* test(integration): restore product-enforced timing bounds lost in the migration
Some TQ011 migrations dropped or loosened a bound whose time is the behaviour
under test. The websocket session cap only kept its floor, so a cap closing at
300 s would have passed, and several timeouts were bounded by the injected stall
instead of the configured product value
assert_enforced_within bounds an elapsed time by the configured value plus
explicit slack, with an optional floor. The websocket cap, the MCP validation
timeout, the guardrail litellm_params timeout, the prisma command timeouts, the
baseline projection lock timeout and the key metadata statement timeout use it.
The device code refusal keeps its 15 s margin, and the langfuse retried prompt
fetch is now bounded by a cold fetch of a steady prompt as well as by the
ignored retry-after
* fix(tests): wait for the supervisor to reap killed workers and fix real-kill migrations
The lenient worker healthcheck was the whole case budget, so uvicorn's supervisor sat
in a ping on the killed worker for up to that long before respawning it. It now uses
the graceful stop budget, and a worker kill returns only after the victim is reaped,
so pooled connections no longer race the dead worker's socket.
Several tests on main picked the multiprocessing resource tracker as their victim and
never killed a worker. Now that they kill a real one, presidio counts streams cut by
the death, delete_model waits for the config reload that removes a deleted model from
a replacement worker, and the wedged coordination Redis test kills before the wedge
and waits for every parked publish to fail before resuming Redis.
The redis cluster test imports the harness through the tests package so it collects
in the unit job, and the per-model fallback rig exposes the owned proxy it now needs.
* test(observability): only require S3 deliveries the killed worker could not have buffered
A real SIGKILL drops the victim's unflushed batch, so requests it already answered can't be expected to land. The test now requires every request served after the replacement to land, some of the surviving worker's burst share to land, and nothing unsent to land
---------
Co-authored-by: Yuneng Jiang <yuneng@berri.ai>
* test(integration): isolate every multi-worker integration suite by default
Per-worker database, Redis, upstream and proxy were opt-in for management,
accounting, providers and extensions. mcp, security and cost ran 4 to 8
xdist workers against one shared proxy, database and Redis, and those suites
hold most of the integration flakes CircleCI records. Every run with more than
one worker now builds a private stack per worker, run_integration.sh no longer
starts or exports the shared proxy, upstream, database or Redis in that mode,
and each worker's scripted upstream runs in its own process instead of a
thread in the pytest controller.
Worker gateways get what the shared proxy used to provide: a peer for
management and mcp, the scripted cost map for cost, stdio MCP servers, and
coverage for mcp. mcp coverage now measures lines through sys.monitoring,
because branch measurement on CPython 3.12 uses the trace function and that
made a covered proxy take about 4x as long to become ready, which is why the
shared mcp proxy kept missing its 90 s readiness wait. Routing parity
snapshots now also read the worker databases, since its cost and mcp runs use
several workers. The security per-worker fixture is redundant and removed
* test(integration): give the nested probe root the files a worker gateway needs
Two worker probes now run isolated, so the nested controller boots a real per-worker upstream and proxy from the probe root. That upstream imports the fake OpenAI server and the cost map modules, and the proxy reads proxy_config.yaml, none of which the probe copied. The nested run also drops INTEGRATION_COVERAGE_FILE so it never writes into an outer coverage file
* test(integration): budget nested multi-worker runs for their worker stack boots
A nested run.py database run with more than one worker now boots a private database, Redis, upstream and proxy per worker, one after another, before any case runs. The fixed 60 s subprocess timeout left no room for that, so the 2 worker probes sat at 57-60 s on CircleCI. The subprocess budget is now the old 60 s plus 30 s per worker stack, and the outer pytest timeout keeps its previous 30 s of slack on top. 30 s is the slowest worker proxy readiness recorded in startup.json on the integration-cost job of workflow e09b108b (21.6-30.3 s on 4 CPUs, 2026-10-12)
---------
Co-authored-by: Yuneng Jiang <yuneng@berri.ai>
The redis-compat matrix and mcp-integration ran unit tests on five large
CircleCI machines per integration run. redis-compat now runs as a redis-py
matrix in the unit workflow with the same pinned redis-server 7.2.16 binary,
no reruns, and the redis-compat Codecov flag on the 5.3.1 leg. The MCP unit
directories not already claimed by mcp-elicitation and mcp-oauth run in a new
mcp-server shard whose report is also uploaded under the mcp-integration flag.
The Windows release wheel job installs Python from a checksum-verified
python.org installer with a bounded wait instead of Chocolatey, helm chart
testing waits on the rollout instead of sleeping, and roi-database no longer
checks out the repository twice.
Co-authored-by: Yuneng Jiang <yuneng@berri.ai>
* test: migrate proxy security, schema migration and MCP legacy tests
* test: run the MCP proxy e2e upstream under the SDK1 peer in integration-mcp
* test: warm the baseline store before timing the locked projection
* test(e2e): hold the stack exclusively while the semantic filter flag is flipped
* test(mcp): scope the in-process proxy e2e fixtures to their module
The session-scoped autouse fixture deleted DATABASE_URL and overrode LITELLM_MASTER_KEY for the rest of the worker, which broke every later test in the integration mcp suite
* test(e2e): assert the semantic filter keeps listed tools instead of a ranking
Which Datadog tool an OpenAI embedding ranks first is not something litellm owns, so the test now checks that the kept tools are a non-empty subset of the key's listing within top_k
* test(mcp): keep the in-process proxy e2e tests on one worker
loadgroup spread the file's tests across workers and interleaved them with other files, so the module-scoped in-process proxy was torn down and restarted between tests and requests timed out
* test(mcp): name the upstream requests that carried the wrong token
The bare all() assertion hid which request broke the forwarded token, which made an intermittent CircleCI failure undiagnosable
---------
Co-authored-by: yuneng <yuneng@berri.ai>
* refactor(rust_bridge): group the Python modules Rust imports by name under rust_bridge/host
Rust reads Python-owned state (legacy callback registries, model capabilities) through
modules it imports by path. Put them in one folder with an AGENTS.md that states the
contract, and update the module path constants on the Rust side.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
* refactor(rust_bridge): route Python state reads through host accessors
* docs(rust_bridge): point test_support at the moved host contract test
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(rust_bridge): move secret manager, transport and timeout accessors under host
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* chore(greptile): register rust_bridge/host AGENTS.md in files.json
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: Claude Fable 5.1 <noreply@anthropic.com>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
GPT reasoning-series models (gpt-5.x, gpt-6) on Bedrock Mantle chat completions now send max_completion_tokens, carrying a deployment or client max_tokens over with its value. Every other Mantle chat model keeps sending max_tokens.
* test: migrate tests/proxy_behavior into integration and unit tiers (partial)
* test(integration): run settings-dependent management tests on an owned proxy
* test(integration): assert stored values in the rewritten management rows
* test(integration): pin sibling team allocations against the org guaranteed throughput cap
* test(integration): keep Prisma clients out of the shared integration conftest import path
---------
Co-authored-by: yuneng <yuneng@berri.ai>
* ci: run every CircleCI check from the integration workflow
* test(ci): keep the startup test CircleCI-owned
* test(ui): find reset log rows by request id so concurrent workers cannot page them out
* test(ui): retry the key budget window spec until the draft refresh fix lands
* ci(ui): set Playwright workers and retries on the CircleCI command only
The shared playwright.config.ts also drives the Buildkite UI suite, where 3 workers
ran out of memory on one of two runs. Buildkite keeps main's 1 worker and 2 retries
---------
Co-authored-by: yuneng <yuneng@berri.ai>
* test: migrate legacy unit dirs and unrun folders into tests/unit, tests/integration and tests/e2e
* test: fix disk cache collection, ungate saturation check, drop RSS memory tests
* test: assert one delivered log per completion in Datadog and LangSmith checks
* test: drop SDK-direct e2e copies and align cost-map path filter cases
---------
Co-authored-by: yuneng <yuneng@berri.ai>
* fix(home): serve the bundled whats_new.json by default so a release shows only its own launches
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
(cherry picked from commit 4dd96800e8)
* style: annotate whats_new_url with str | None
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
(cherry picked from commit d1ae7ea085)
* test(home): pin whats_new_url to the env var and regenerate the dashboard API types
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
(cherry picked from commit 4bfec53865)
* test(public_endpoints): prove the /public/whats_new route serves the bundled list when no URL is configured
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(public_endpoints): drop the unused os import
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(home): pin whats_new_url to the env var so a baked-in default URL fails the suite
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* style(tests): sort the import blocks ruff flagged in test_public_endpoints
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(home): let the route test read the real whats_new_url default so a baked-in URL fails it
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: mateo <mateo@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(integration): wait for customer spend rows and use owned OpenRouter cost
* ci: isolate integration workers and clean up resources after crashes
* docs: describe isolated extensions workers and shard census
* fix(ci): restore integration service and fixture guarantees
* fix(integration): preserve replay IDs and native route fixtures
* fix(tests): scope integration harness imports to each unit case
* fix(ci): preserve fixtures and wait for owned workers
* fix(ci): isolate nested runs and telemetry cases
* fix(ci): make worker readiness and fault tests deterministic
* chore(ci): drop MCP fixture repair already covered by main
* chore(ci): keep the local catalog fix from main
---------
Co-authored-by: yuneng <yuneng@berri.ai>
* test: migrate selected llm translation contracts
* test: migrate anthropic completion translation tests
* test: migrate bedrock and cohere translation tests
* test: tighten bedrock translation migration
* test: migrate azure and openai model translation tests
* test: migrate openai and small-provider translation tests
* test: migrate gemini and vertex translation tests
* test: migrate optional params and rerank translation tests
* test: migrate huggingface, json and openrouter translation tests
* test: fix openrouter integration expectations
* test: migrate databricks, xai, cometapi and fireworks translation tests
* test: migrate ovhcloud, prompt and small provider translation tests
* test: split reasoning effort grid into unit and e2e
* test: migrate router and realtime guardrail translation tests
* test: migrate google interactions translation tests
* test: migrate a2a, evals, skills and hosted vllm translation tests
* test: remove remaining llm translation suite
* test: tighten migrated llm translation unit tests and land missing rows
Restores rows the first pass dropped or weakened (bedrock agentcore and openwebui thinking stream, anthropic prefix, citations and tool_choice, azure agents handler, huggingface bare api_base, optional params num_retries, alternating roles, rerank response type), replaces truthiness and call-count checks with whole-value assertions, and moves tests to the mirror file of the code they cover
* test: move cohere, databricks, fireworks and gemini rows to mirror files over mocked HTTP
Restores three TestCohereV2Transform methods the first pass nested out of collection, replaces direct transform calls with respx-backed completion calls, and drops the databricks and fireworks files that sat outside their mirror paths
* test: close lost-intent gaps found in review of the llm translation migration
Points the hosted-mock guard at the triton test's new integration path, restores exact rerank result assertions for infinity, drops the reasoning e2e fallback that passed for any multi-line answer, and adds the mixtral invoke system prompt variants, eval deletion, and async pdf url download that the legacy suite exercised
* test: assert provider acceptance in the reasoning effort e2e
The live half of the split grid proves each route accepts reasoning_effort. claude-fable-5-1 on the direct route answers without surfacing reasoning content, so a reasoning-presence check either fails on head or needs a fallback that passes for any answer. Wire shape stays covered by the unit grid
* test: cover async and stream-end paths the legacy translation suite exercised
Adds async variants for bedrock converse file and thinking content, bedrock embedding timeout and region resolution, interaction stream termination and success logging, xai reasoning token folding, and bytes chunks with a prefix before data:. Also scopes the vertex safety settings global in test_vertex_safety_settings with monkeypatch so it stops leaking into gemini request bodies on the same worker
* test: type the new llm translation e2e calls and mark moved fixture dirs as packages
* test: name the reasoning effort e2e models as module constants
* test: assert reasoning content, register the new gemini coverage ids and give the guardrail config e2e a unique name
* test: block the prompt the shared guardrail denies and drop the reasoning presence check
* test: drop the duplicate litellm import left by the main sync
---------
Co-authored-by: yuneng <yuneng@berri.ai>
* test: move guardrails, image, audio, batches, search legacy tests to unit
* test: restore the custom guardrail and remaining chunk 1 unit rows
* test: move the ocr matrix to e2e
* test: drop comments from moved tests and fix vertex ocr credentials
* test: move litellm utils and unified google legacy tests to their tiers
* test: move logging callback and pass-through unit legacy tests to their tiers
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test: move store_model_in_db legacy tests and start the admin ui migration
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test: finish the proxy job rows and drop their CircleCI jobs
Moves the remaining multi-instance, openai endpoint, otel, pass-through and
top-level proxy tests into tests/integration with scripted upstreams, rewrites
the weak replacements to assert the outbound wire and exact responses, and
removes the build_and_test job group this PR owns from CircleCI
* test: tighten the key generation and error log assertions, rename migrated unit files to their mapped names
* test: shard the pagerduty unit tests and record the rust harness file on the coverage allowlist
* test: drive the SSO sign-in tests through a scripted IdP and isolate the cost center stand-in
* test: type the e2e beta header, prompt cache and secret manager values
* test: assert the missing model error message on the OpenAI routes
* test: drop the deleted otel base class import and restore mcp redaction and exact langfuse usage checks
* test: make the langfuse fixture directory a package for the layout check
* test: restore collected no-match cases, real langfuse and gcs payload checks, and gate the aws secret lane
* test: keep the ocr e2e pdf fixture next to the test
* test: put meta below covers on the streaming tool search e2e
* test: run the OCR matrix against a scripted upstream and fix two runner-only e2e failures
* test: count only OCR calls in the OCR matrix recorder
* test: pin OCR parse bodies and billed cost, group new e2e cases into classes
* ci: restore the python image anchor dropped in the main sync
---------
Co-authored-by: yuneng <yuneng@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(databricks): call the ai_decide AI Function route for decisions and the auto-router
Databricks serves ai_decide at POST <host>/api/2.0/ai-functions/ai-decide, not
on a serving endpoint's /invocations route. The decisions provider and the
auto-router classifier now accept only the ai_decide model, post to that route
without a model field, unwrap the response envelope, and map a noul answer's
probability to the System One noul field.
* test(databricks): bound the megabyte model name test by scaling, not wall time
* test(databricks): assert the whole OpenAI-format decision and floor the liveliness bound
* test(decisions): move the Databricks OpenAI-format wire row to the ai_decide route
* fix(databricks): keep serving endpoint decisions beside the ai_decide route
* test(databricks): assert the whole classifier request body in the test routing case
* test(databricks): correct System One spend call type
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>
Co-authored-by: mateo <mateo@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* feat(ui): load the Home page What's new launches from /public/whats_new at runtime
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* feat(ui): show the three newest What's new launches
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* build: ship whats_new.json in the wheel
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>
