- _write_back_structured_messages now patches only the rewritten rows back
into the original input items, so reasoning items (encrypted_content),
function_call ids, and web_search_call items survive a guardrail rewrite
verbatim; rewrites that cannot be row-mapped fall back to the previous
full conversion
- the responses bridge stream snapshot restores usage hidden in
_hidden_params when stream_options is unset, so converted fake streams
report real input_tokens instead of 0
Model access group budgets shipped API-only, so the only way to give a group a
budget was a curl. Adds an Access Group Budgets tab under Models & Endpoints
that lists every group with the spend drawn against its shared pool, and a
modal to set, edit or clear the budget.
/access_group/list now carries each group's budget and spend inline, so the
table renders from one read instead of one follow-up request per row.
The typed rewrite made the properties recursion call .get on every child,
so a malformed schema with a string or list property value raised
AttributeError where it previously passed through untouched.
The first pass accepted any empty completion whose finish_reason was "length",
which also swallowed a fallback that produced nothing at all. Require the
response to have billed completion tokens as well, so empty content is
accepted only when the budget was demonstrably spent on non-visible reasoning.
Asserts on completion_tokens rather than reasoning_tokens because the latter
is provider-optional; with empty content and a refusal of null, consumed
completion tokens are reasoning by elimination, since visible text would be
content. Both counts are reported in the failure message.
Folds the three body accessors onto one _parsed helper instead of re-parsing
per call, and adds completion_tokens_of / reasoning_tokens_of alongside.
The LLM classifier's cost was recorded on the routing decision but never
reached any savings surface: per-request autorouter_savings stayed gross
and the session rollup recorded only the served request's spend, so
/auto_router/benchmarks overstated savings and understated routed spend.
Net the classifier cost into the savings figure at its one computation
owner and fold it into the rollup turn's spend, keeping
baseline_spend = spend + saved_spend. The response header's numeric
guard now shares the same reader.
Fixes#38816
max_tokens=64 caps reasoning plus visible output on gpt-5.5, so the fallback
target can legitimately return finish_reason="length" with empty content.
litellm-e2e build 90 hit exactly that: the response cost of $0.002005 backs
out to 64 completion tokens at gpt-5.5's $3e-05/token, i.e. the whole budget
spent reasoning about "say hi" with none left to answer. The fallback itself
worked -- 200, served by gpt-5.5-2026-04-23, x-litellm-attempted-fallbacks
present -- so the only thing that failed was an assertion about OpenAI's token
budgeting rather than about routing.
Raise the reliability helper's budget to 512 and accept empty content only
when finish_reason is "length". Empty content under any other finish_reason
still fails, so the tests keep catching a fallback that returns nothing for a
reason we do control.
The relaxed assertion lives in the helper both reliability fallback tests
share, so test_timeout_routes_to_fallback is covered too; it has the same
shape and had not tripped yet.
* fix(proxy): run SMTP send_email off the event loop with a connection timeout
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(proxy): format utils.py and update _create_smtp_connection tests for timeout
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(proxy): keep malformed SMTP_TIMEOUT inside the email error boundary
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* chore: retrigger ci
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* ci: exclude misaligned circleci coverage flag from merged codecov report
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* chore: retrigger ci for codecov and benchmarks
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* ci: disable carryforward for the circleci codecov flag
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* ci: exclude carried-forward coverage from the codecov patch status
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* ci: stop carrying forward the dead circleci codecov flag
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Four cases in tests/e2e/quota_management/budgets, driving real OpenAI calls
through a group whose shared pool is drained to exhaustion: the spender key
stays blocked, a key that spent nothing of its own is blocked by the same
pool, a sibling group with no budget keeps serving, and the budget read
reports the spend drawn against the group.
Adds set/get/delete access group budget to BudgetClient and the four
matching rows to the coverage registry.
The Together catalog exposes only context_length, so the sync was recording
every chat model's context window as its output ceiling. New entries now carry
max_input_tokens and the legacy max_tokens from the catalog and get an output
ceiling only from a reviewed capability rule. GLM-5.2 and GLM-5.3-Flash rules
carry the documented 128K ceiling, and the 26 other inflated together_ai chat
entries drop max_output_tokens in both registry copies.
A deployment carrying reasoning_effort in its litellm_params on the
/v1/messages passthrough mapped the effort to a legacy thinking block
whose budget_tokens was forwarded as is, so any request whose max_tokens
sat at or below that budget was rejected upstream with a 400. The mapped
budget now runs through the same cap the adaptive-to-legacy branch and
the chat path already use: it is clamped to max_tokens - 1, and dropped
with a warning when even the minimum budget cannot fit.
The cap helper becomes public since three call sites outside
AnthropicConfig use it.
A pool whose recorded spend has reached max_budget has nothing left to give, so
the next request is refused rather than admitted. This departs from the tag
check it otherwise mirrors and matches where keys and organizations already
draw the line.
A non-positive budget now means no budget here too, so the read-time check and
the reservation path agree on what counts as unbudgeted.
The sync response_api_handler agentic branch returned the completed ResponsesAPIResponse for a request the Headroom guardrail had converted from streaming, so litellm.responses(stream=True) handed callers a non-iterable object. Wrap it in the same fake stream the async path uses
The four model access group callback tests now share one helper, so nine
patches of proxy_server internals become three, and both mock-echo assertions
go with them. The delete_access_group tests share a context manager for the
same reason.
test_group_exactly_at_its_max_budget_passes gained the assertion it was
missing: it now proves the group reached the spend comparison, which a group
skipped for a missing budget row would not. The route-allowed patch beside it
was dead, so it is gone.
What is left is suppressed with the collaborator each one cannot inject.
GPT-5 and later accept a top-level anyOf natively and call tools better with it intact, so the flattening now runs only for the gpt-4, gpt-3.5, chatgpt-4o, o1, o3, and o4 families. Non-dict tool entries pass through untouched, a typeless root that carries properties counts as an object, and the bounded $ref walker is listed in the recursion detector allowlist.
Streaming /v1/responses requests that carried Headroom's retrieve tool were
sent upstream as streams, so the model's headroom_retrieve function_call was
streamed straight back to a client that never declared the tool and the
retrieval never resolved. Chat completions already avoid this by converting
the request to non-stream in the pre-call deployment hook, letting the
agentic loop resolve the retrieve, and fake-streaming the final answer.
The hook now converts responses call types too, the responses handler wraps
the resolved result as a fake stream whenever any interception converted the
stream (shared converted_stream_requested helper instead of per-integration
key checks), and the follow-up request filter drops every non-code-interpreter
interception key through is_interception_internal_key.
Resolves LIT-6481
The connection preview built its temporary MCP client without the credentials the
not-yet-saved server config carries: the Authorization bearer an OAuth2 authorization_code
server had just been granted, the auth_value of an api_key, bearer_token, basic, or
authorization server, and the stored credentials of a saved server being edited. The tools
preview forwarded all three, so the same request succeeded there and failed on the connection
test with the generic "Failed to connect to MCP server" message
Both previews now resolve those credentials through one shared staging step, so they cannot
drift apart again, and the Authorization header is only forwarded upstream when the primary
x-litellm-api-key header carried admission, since otherwise it is the caller's LiteLLM key
The database writer already intersects the auth-matched groups with the ones
the served deployment declares, but the live spend counters got the unnarrowed
set. A caller granted two pools that both cover a model group debited both
counters while only one row moved, so the in-memory ceiling could block a pool
its persisted spend never touched.
Narrow once at the callback so both consumers read the same set.
Message-rewriting guardrails such as Headroom return their rewrite in
structured_messages and leave texts untouched. The responses guardrail
translation only mapped texts back, so compression never reached the
upstream request on /v1/responses while the retrieve tool still got
injected. Convert the returned messages back to Responses input (plus
instructions) the way the chat and Anthropic handlers already do, and
keep developer messages as input_text in the chat-to-responses bridge.
Resolves LIT-6494
A litellm_content_filter step with a MASK action masks chat streams through
its own iterator hook under guardrails.add, which pipeline-managed guardrails
skip, so the pipeline path released the stream unmasked. CustomGuardrail now
declares rewrites_streamed_output (mask_response_content by default, any MASK
action for the content filter) and the upfront streaming check names such
steps in the same 400 it gives mask_response_content and incremental_diff
The supported_endpoints passthrough had no way to keep ttl for an upstream
that honors it, so the deployment now opts in with
model_info.cache_control_ttl: true, injected into the config the same way
the providers.json constraint is for JSON providers
Adds regression tests for the modify_response block on the Anthropic route,
the gate with no iterator overrides, and the per-chunk hook skipping
pipeline-managed guardrails. Corrects the gate docstring: an allow releases
the chunks as the endpoint translation left them, not verbatim
