Commit graph

13 commits

Author SHA1 Message Date
devin-ai-integration[bot]
4c6c84afb7
perf(proxy): stop prompt-cache eligibility from tokenizing the whole conversation (#44221)
is_prompt_caching_valid_prompt ran the full Python token_counter over every message to compare against the deployment's prompt cache minimum, 500 to 1000 ms at 440k to 740k tokens on every request that reaches the prompt_caching pre-call check, Rust on or off. messages_reach_token_count does the same arithmetic as token_counter(...) >= threshold and stops at the first message that reaches the threshold. Groups with one healthy deployment skip the prefix hash and pin lookup, which cannot change the result for them

Four fixed name span events make the pre-LLM phases measurable with OTel v2: litellm.request.body_received (with body_bytes) once per body read before parsing, on the JSON, binary and form branches, body_parsed, pre_call_completed, and deployment_selected emitted once per pick inside Router.async_get_available_deployment and get_available_deployment with attempt, reason and model group, so every router surface, retry and fallback is covered. Measured locally on /v1/chat/completions, /v1/messages and /v1/responses at 440k tokens with Rust on and off against a fake upstream

Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-10-03 09:20:28 -07:00
devin-ai-integration[bot]
6d8434f940
fix(proxy): return 4xx instead of 500 for missing required params, invalid pagination and unknown ids (#43787)
* fix(proxy): return 400 instead of 500 for missing required params and invalid pagination

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* ci: run search_endpoints tests in proxy-endpoints shard

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): return 4xx for missing required params across all LLM routes and propagate provider status on lookups

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(llm_http_handler): keep provider error text when re-raising mapped errors

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): allow promptless image edits and default search models

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): default missing image edit image to None

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* refactor(proxy): build image edit defaults without mutating request data

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): keep image edit defaults within type-discipline budget and give request mocks a scope

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(proxy): inject a fake router for the search default model test

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(llms): cover provider error status on vector store and file lookup handlers

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(llms): keep the lookup handler raise block to a single statement

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(llms): cover provider error status on eval, eval run, skill and vector store file content lookups

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(integration): cover missing required body params and provider lookup status codes

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* ci: run tests/unit/proxy/search_endpoints in the proxy-endpoints shard

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(integration): bind spend-row request id with partial to satisfy B023

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): only reject non-positive page_size on vector store list

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): remove unreachable fine-tuning body validation

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(integration): cover streaming anthropic messages reaching the upstream

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(integration): count only provider calls when asserting missing params never reach the upstream

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): preserve merge-base request compatibility

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): preserve interaction completion model defaults

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): retry model read-through before rejecting params a DB-only deployment may default

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: shivam <shivam@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: yucheng <yucheng@berri.ai>
2026-10-02 22:48:53 -07:00
devin-ai-integration[bot]
233db9f285
feat(bedrock): serve gpt-5.6+ chat completions natively by default, with chat_completions/ opt-in for gpt-oss and grok (#44307)
* feat(bedrock): send grok chat completions through runtime openai path

Unspecified bedrock grok was rewritten to Converse. Chat completions now hit bedrock-runtime /openai/v1/chat/completions, and converse/ still uses Converse

* feat(bedrock): serve gpt-oss and gpt-5.6 chat completions on runtime's native openai path

* fix(bedrock): route gpt-oss response_format to Converse and decide the route once from the raw request

* fix(bedrock): serve region-path and GovCloud gpt-oss ids on native Chat Completions

The cost-map parity tests require every regional variant of a flagged id to carry the same supports_ flags, so the six us-gov gpt-oss entries now carry the native-route flags too. A region path in the model name (bedrock/us-gov-west-1/openai.gpt-oss-20b-1:0) is routing, not a different model: the route is looked up on the id after the path, the path's region picks the endpoint and the SigV4 scope, an explicit aws_region_name still wins, and the body carries the bare id AWS expects

* fix(bedrock): keep params AWS refuses natively off the chat completions route

Drop the params each family 400s or 503s on runtime Chat Completions from the native config's supported list (GPT-5.6 penalties, stop, and logprobs, Grok penalties, gpt-oss logit_bias) so drop_params drops them as Converse did, gate legacy functions on GPT-5.6 the same way as tools, and send an Anthropic-style thinking block to Converse, the only route that forwards it

* fix(bedrock): keep schema-less json_object on Converse for the chat completions models

* fix(bedrock): keep every json_object response_format on Converse for the chat completions models

* fix(rust): declare the bedrock runtime chat completions flags on ModelInfo

* fix(bedrock): opt into the native chat completions route through supported_endpoints

* docs(cost-map): describe the bedrock native chat completions capability flags

* revert: docs(cost-map): describe the bedrock native chat completions capability flags

This reverts commit 4101c0ceb2.

cost-map-guard runs main's schema generator under pull_request_target and compares
its output to the PR's committed schema, so a PR that changes the generator's output
cannot pass that required check until the generator change lands on main first. The
descriptions move to a follow-up that lands the generator change ahead of the schema

* test(bedrock): move the native chat completions tests under tests/unit

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(bedrock): drop reasoning_effort none for grok on the native chat completions route

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(bedrock): keep converse extension params on the converse route

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(bedrock): inline http image urls and keep stop on converse for native chat completions

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* refactor(bedrock): share the sync remote media inliner

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(image-handling): infer the image mime type when the server sends a generic content type

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(bedrock): stop sending aws_bedrock_project_id as OpenAI-Project on the runtime chat completions route

* feat(bedrock): make native chat completions an opt-in bedrock/chat_completions/ route

Bare Bedrock OpenAI and Grok model ids stay on Converse as on main. The
bedrock/chat_completions/<model> prefix opts a deployment into bedrock-runtime's
/openai/v1/chat/completions, and a request carrying a Converse-only param
still falls back to Converse. The cost map no longer decides the route.

* fix(bedrock): keep chat_completions/-prefixed deployments on the native Responses surface

* fix(bedrock): keep provider response headers on the runtime chat completions route

* feat(bedrock): serve gpt-5.6 and newer on runtime chat completions by default

Unprefixed bedrock/<gpt-5.6+> models whose cost-map row lists /v1/chat/completions
now route to the native OpenAI-compatible endpoint; converse/ pins Converse and
chat_completions/ still opts gpt-oss and Grok in. Guardrails, application inference
profile ARNs, and tools with reasoning keep falling back to Converse per request.
Hoist the remote-media url comprehension into a single-clause helper.

* fix(bedrock): refuse temperature and top_p natively on GPT 5.6 and newer like Converse does

AWS answers temperature and top_p with a 400 on the native Chat Completions endpoint for the GPT 5.6+ models, the same models whose Converse route already dropped both under drop_params via supports_sampling_params: false. The native config now honors that price-map flag, the gpt-6 and gpt-6.1 rows carry it, and the gpt-6 family joins gpt-5 in refusing frequency_penalty, presence_penalty, logprobs, and top_logprobs before the request reaches AWS.

* fix(bedrock): refuse GPT sampling and logprob params natively only while reasoning is on

On bedrock-runtime's native chat completions endpoint, GPT-5.x and GPT-6.x
accept temperature, top_p, frequency_penalty, presence_penalty, logprobs,
and top_logprobs once reasoning_effort is "none", and refuse them with any
other effort or when the effort is unset. The previous commit refused the
sampling params unconditionally from the cost map's supports_sampling_params
flag, which lost the reasoning-off case and never covered the penalties or
logprobs. The refusal now keys on the model being a GPT id and reasoning
being active, raises a 400 UnsupportedParamsError naming the params unless
drop_params drops them, and lets everything through under "none". Grok and
gpt-oss keep their unconditional family refusals.

* refactor(bedrock): keep the Converse route-prefix strip inside the bedrock llms module

* fix(bedrock): forward a non-string reasoning_effort on the native route instead of crashing

A list or dict reasoning_effort hit a frozenset membership test in
without_refused_reasoning_effort and raised TypeError, which the proxy
surfaced as a 500 APIConnectionError with no upstream call. The value is
now left alone unless it is a string Bedrock's native endpoint refuses,
so AWS answers the malformed value with its own 400 like it does for an int

* fix(bedrock): route overlong GPT version digits to Converse and send native chat completions to the runtime endpoint

A model id with more than 4300 version digits raised ValueError in the route check; the digits are now bounded so such ids fall back to Converse. The native chat completions URL now follows Converse's precedence: aws_bedrock_runtime_endpoint (or AWS_BEDROCK_RUNTIME_ENDPOINT) wins over api_base, so a deployment that sets both keeps sending to the same host

* fix(bedrock): route model_id overrides to Converse and never send an empty bearer natively

A deployment whose litellm_params carry model_id (an application inference profile or provisioned throughput ARN) went to the native Chat Completions route with the base model in the URL and model_id left in the body. It now takes Converse like the bedrock/arn:... model form, which encodes the override into the request URL

A blank api_key on a SigV4 deployment became an Authorization header reading Bearer with nothing after it on the native route, since the OpenAI-like header builder writes any non-None key and the signer keeps a non-AWS4 Authorization header. validate_environment now resolves the key through bedrock_bearer_token, so a blank key is signed with SigV4 the way Converse signs it

* test(bedrock): audit the native GPT chat completions route on the integration rig

Adds the /audit cells for the runtime chat completions route: the scripted Bedrock runtime peer, the happy and fallback wire tests, the sad-path and regex worst-case tests, the chaos burst tests, the Messages adapter tests, and the Responses native-route tests. Tests only, no product diff.

* test(bedrock): harden the runtime chat completions audit cells

The chaos peer's shared counter and process now come from the same spawn context, since a fork-context Value handed to a spawn-context process raises on Linux. The peer-kill test waits for the first six answers to reach the client before killing the peer instead of counting accepted requests. The Responses wire tests look the spend row up under both the ciphertext id the caller received and the issued id behind it, matching the chaos file's rule for the pre-encryption row

* fix(bedrock): refuse or drop a non-string reasoning_effort before the native chat completions call

A reasoning_effort sent as an int, a list, or an object on a GPT 5.6+ deployment the native
route serves now answers 400 from litellm before any wire request, naming the type and the
drop_params way out, and is dropped under drop_params so AWS applies its default effort, the
way Converse dropped it on main. The tip since a0cef91f0b forwarded it for AWS to refuse

* test(bedrock): pin router retries off and give the chaos bursts config deployments on an owned proxy

* test(bedrock): wait for the replacement worker before tearing down the sigkill chaos proxy

---------

Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: mateo <mateo@berri.ai>
2026-10-02 19:55:54 -07:00
devin-ai-integration[bot]
5dbe4f95e8
feat(bedrock): drop lookaround regex patterns from tool schemas for Converse models that reject them (#44138)
* feat(bedrock): drop lookaround regex patterns from tool schemas for Converse models that reject them

* fix(bedrock): rename the lookaround flag to supports_regex_lookaround and keep dropped patternProperties names allowed

The cost-map flag becomes a generic supports_regex_lookaround capability, which the
cost-map schema admits as a supports_* boolean, and the Converse transform now owns
the drop decision instead of the shared tools factory. A patternProperties key dropped
from an object closed by additionalProperties: false leaves its value schema as that
object's additionalProperties, so the names it allowed stay allowed, on the OpenAI
non-Python-regex drop too. tool_with_sanitized_parameters also cleans Anthropic-shape
tools (input_schema).

* fix(router): keep a deployment's supports_regex_lookaround off the shared cost-map entry

A deployment's model_info.supports_regex_lookaround was written to the shared
bedrock/<model> cost-map key, so every sibling deployment of that model id
inherited one deployment's choice. The flag now stays under the deployment's
own id, which is what the Converse lookaround check reads first, and the
shared entry keeps the cost map's value

* test(bedrock): audit the Converse lookaround drop on the wire across endpoints, SDKs, flags and chaos

---------

Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
2026-10-02 19:47:25 -07:00
tin-berri
0dc23406eb
feat: add Laya gateway and OSS classifier providers (#43626)
* feat: add Laya gateway and classifier backend

* test: cover the pass-through model_group pin and repair the shard fakes

MockRequest in tests/pass_through_unit_tests gains an httpx.URL and an ASGI
scope, which get_request_route now reads inside
_init_kwargs_for_pass_through_endpoint, and the POST-only /laya/v1/systemone
route joins the protocol-constrained exemptions. A built-in pass-through pins
metadata.model_group to the resolved model so a client cannot choose its own
per-model budget key; test_pass_through_endpoints now proves that on a
non-Laya route and drops a duplicated assertion.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

---------

Co-authored-by: Claude Fable 5.1 <noreply@anthropic.com>
2026-10-02 11:29:36 -07:00
devin-ai-integration[bot]
e662772ad1
fix(proxy): register a UI-configured arize callback next to otel under OTel v2 (#43906)
Callbacks saved from the Admin UI reach litellm through _add_custom_logger_callback_to_specific_event, which skipped the freshly built logger whenever a callback of the same exact class was already registered. With LITELLM_OTEL_V2 enabled every OTel preset (otel, arize, ...) is an OpenTelemetryV2, so a UI-added arize was treated as a duplicate of the yaml otel callback and never attached, and no trace ever reached Arize

The exists check now compares the exact class and the logger's callback_name, so presets that share a class register side by side while a true re-registration of the same preset is still skipped

Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-09-30 14:58:40 -07:00
devin-ai-integration[bot]
9dda4d895f
fix(cost_calculator): bill ultrafast prompts above 272k at the ultrafast long-context rates (#43764)
Some checks are pending
LiteLLM Rust / rust-lint (push) Waiting to run
LiteLLM Rust / rust-test (push) Waiting to run
LiteLLM Rust / rust-wheel (push) Waiting to run
2026-09-30 07:32:16 -07:00
devin-ai-integration[bot]
24a7e89738
perf(responses): run aresponses through the async wrapper so the cache is read once (#43769)
* perf(responses): run aresponses through the async wrapper so the cache is read once

aresponses() sets kwargs["aresponses"] = True and runs the decorated sync
responses() on an executor, but _is_async_request() did not recognise that
flag, so the sync wrapper did a second cache lookup on the executor thread
with a differently ordered cache-key input. Every /v1/responses request paid
two cache GETs against two different keys. Recognising aresponses in
_is_async_request() leaves the async wrapper as the only cache reader and
writer for the async path, one GET per request, same key on read and write

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(caching): let a responses cache entry cover aresponses so responses-only configs keep caching

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>
2026-09-29 15:09:22 -07:00
devin-ai-integration[bot]
abc85c2651
fix(cost_calculator): bill chat per-second pricing once with a new cost_per_second field (#43614)
* feat(cost_calculator): add cost_per_second for chat per-second pricing

Keep legacy input_cost_per_second and output_cost_per_second as aliases for chat, completion, embedding and responses. When both legacy fields are set, input_cost_per_second wins

Move Bedrock commitment rows to cost_per_second so they bill once

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* refactor(cost_calculator): drop legacy per-second fields from chat paths

Keep Azure chat token pricing generic and update inert Voxtral rates and SageMaker examples

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(cost_calculator): recognize output-only per-second rates

Include output_cost_per_second when checking whether a deployment cost entry has pricing so output-only legacy aliases remain attached to the deployment during cost selection

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(pricing): cover cost_per_second and legacy per-second aliases through the proxy

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* refactor(cost_calculator): drop output_cost_per_second as a chat per-second alias

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* feat(cost_calculator): restore output_cost_per_second as a chat per-second fallback

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(cost-map): keep input_cost_per_second on bedrock commitment rows for older clients

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>
2026-09-29 11:27:14 -07:00
devin-ai-integration[bot]
3a6744cd02
feat(sail): add Sail as a provider with service_tier mapped to its completion window (#42840)
Register Sail (providers.json, LlmProviders.SAIL, OpenAI-compatible lists,
ProviderConfigManager) for chat, Responses and /v1/messages, and add its 12
models to both cost maps with asap, balanced and flex price columns.

Sail picks speed and price with metadata.completion_window and rejects
service_tier, so the Sail chat and Responses configs translate the tier:
default and priority to asap, flex to flex, balanced to balanced, auto to no
window. Billing prices the window that was sent. A tier Sail has no window
for, or a window or tier set where billing cannot see it (request metadata,
extra_body), is a 400 unless drop_params is set.

Add balanced to ServiceTier and its _balanced price columns to the model
info types, the Rust catalog and the dashboard schema. A transform_extra_body
hook on the chat and Responses base configs, which returns extra_body
unchanged by default, lets Sail keep the window when a caller also sends
extra_body.metadata. Sail is listed in the Add Model form and model picker.

Co-authored-by: shrey kharbanda <shrey@berri.ai>
2026-09-26 12:57:48 -07:00
devin-ai-integration[bot]
4179860a17
fix(cost-map): retirement dates, chatgpt reasoning flags, bing pricing, bedrock mantle and mythos, azure gpt-5.6 alias, anthropic batch rates, new nebius, openrouter and xai rows (#42951) 2026-09-25 19:12:36 -07:00
devin-ai-integration[bot]
8ef85a45ce
feat(xai): add native xAI batches and files support (#42812)
* feat(xai): add native xAI batches and files support

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(xai): tighten batch handler typing and avoid Final redeclaration on star import

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* refactor(xai): walk batch result pages iteratively

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(xai): stop paging on empty pagination token and honor litellm.xai_key

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(xai): import NotRequired and TypedDict from typing_extensions for Python 3.10

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* feat(batches): accept image and video endpoints on batch create

* test(xai): lock batch endpoint, auth, and result contracts

The batches test package collided with litellm/batches under pytest prepend, so the All Other Providers shard could not collect the new tests.

* fix(xai): price grok batch usage at xAI's 20 percent batch discount

* fix(xai): map not-found file reads to 404, bill batch reasoning tokens, and add 200k batch tier rates

* refactor(xai): drop routine prose and move tests under tests/unit

* fix(health): hand the resolved provider to list_batches in batch-mode health checks

* test(xai): make tests/unit/llms/xai/batches a package

* fix(xai): walk every page of the files list by pagination_token

---------

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: mubashir1osmani <mubashir.osmani777@gmail.com>
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
2026-09-25 15:35:20 -07:00
yuneng-jiang
f6882246d4
test: move tests/test_litellm root and small trees into tests/unit (#43186)
* ci: run the unit_selection.sh shard files on every event instead of only fork pull requests

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* ci: rename fork-flag to unit-flag now that it applies on every event

* test: move tests/test_litellm root and small trees into tests/unit

Pure renames, no content changes. Follow-up commits in this PR fix
references, merge the three files that already existed in tests/unit,
keep live-provider tests in tests/test_litellm and wire CI.

* test: carry tests/test_litellm conftest isolation into tests/unit

Callback lists, routing fallbacks, cached HTTP clients, logger state, AWS,
proxy-URL and keychain env, and session-end client cleanup now reset for
unit tests too. The environment isolation owns its MonkeyPatch so a test's
own monkeypatch is undone before the model-cost teardown runs.

* test: merge, split and prune the moved root and small-tree tests

Merge batches/test_batch_utils.py and the chat_completions and messages
dispatch tests into the files that already existed in tests/unit. Keep
the live Gemini interactions tests, the async image-fetch format test and
the OpenAI embedding scorer test in tests/test_litellm since they need
real network or keys. Put test_router.py under tests/unit/test_router so
the existing package no longer shadows it. Delete eight tests the audit
found superseded by stronger ones kept in this move.

* ci: run the moved root and small-tree tests under their legacy flags

Add the misc and responses-caching-types flags to unit_selection.sh and
CircleCI, extend enterprise-routing and mcp-integration, and point the
legacy GHA shards, Makefile, redis-compat workflow, merge smoke manifest
and change classifier at the new paths.

* test: make the new tests/unit directories packages

tests/unit/test_package_layout.py requires every directory to carry an
__init__.py, and without one the moved and retained
test_litellm_responses_bridge.py modules collide on import.

* test: scope the unit socket block to tests/unit in shared sessions

The GHA shards collect the legacy test-path and the unit selection in one
pytest session. The unit conftest's loopback-only block leaked into legacy
modules that reach the network at import. The legacy conftest now lifts the
restriction at collect and setup time, and the unit conftest re-applies it
when collecting its own modules.

* test: give the shard-script tests their own GITHUB_OUTPUT

They only passed where the runner set it. The CircleCI unit job's env
allowlist drops it, so the script's redirect failed there.

* test: point the router and module-deletion checks at tests/unit

router_code_coverage and code_qa_check_tests only searched tests/test_litellm,
so the moved router tests no longer counted. The two silent-experiment tests
the audit deleted were the only direct callers of those methods; they are
replaced with tests that assert the forwarded shadow request and the
recursion guard.

---------

Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-09-25 11:30:43 -07:00
Renamed from tests/test_litellm/test_utils.py (Browse further)