Commit graph

15 commits

Author SHA1 Message Date
Mateo Wang
0cf2bb7296
fix(openai): warn when the GPT-5 reasoning effort gate drops a level under drop_params (#47761)
* fix(openai): warn when the GPT-5 reasoning effort gate drops a level under drop_params

A GPT-5 request whose reasoning_effort the model map does not enable for
that model lost the effort with no log line under drop_params. An Azure
deployment name missing from the cost map lost reasoning_effort none this
way and ran at the model's default effort. The gate now logs a warning
naming the model, the level, the map entry it checked, and the
model_info.base_model and model_info.reasoning_effort_levels fixes.

* fix(openai): warn when the Responses route or a deployment's declared levels drop a reasoning effort

The /v1/responses gate dropped a row-disabled GPT-5 effort, and reasoning for an OpenAI model without
supports_reasoning, with no log line, and the router logged a declared-level drop only at INFO. Both
Responses drops now log a WARNING and the router logs its drop at WARNING. The warning now leads with
model_info.reasoning_effort_levels, since base_model only helps a deployment named differently from
its underlying model.

* fix: warn only when a reasoning level is actually dropped, and on generic reasoning_effort drops

* fix: warn when thinking or a Bedrock Converse reasoning level is dropped, and name the router drop a reasoning level

* fix: skip the drop warning when a non-reasoning model is asked for no reasoning, and honor declared levels on Bedrock Responses

* fix: stay silent when reasoning is turned off on /v1/responses and warn on the Bedrock Responses fallback drop

* fix(reasoning): warn when any reasoning-off request is dropped and give each route only the advice it honors

A request to turn reasoning off on a model name the catalog lacks now warns on every route, since it may be a reasoning model. Chat suggests model_info.reasoning_effort_levels and, for a name with no catalog entry, model_info.base_model. OpenAI Responses suggests declared levels only where the config honors them, and Bedrock suggests neither. The Bedrock and Mantle Responses forwarding of declared levels is reverted until it can be proven live.

* fix(reasoning): suggest reasoning_effort_levels and base_model only where the route reads them

The chat gate suggested model_info.reasoning_effort_levels on routes that never pass declared levels
(github_copilot, chatgpt and other OpenAIConfig delegates) and model_info.base_model on OpenAI and
Azure AI chat, whose gate looks up the deployment name rather than base_model. /v1/responses/compact
suggested levels it never reads either.

Declared levels are now None when a caller passes none, so the advice appears only when a caller fed
them, and the base_model advice is limited to the Azure chat gate, the one that looks up base_model.

The openai row of the chat warning test now expects no base_model advice, the Responses warning test
goes through get_optional_params_responses_api the way /v1/responses and compact call it, and the Azure
direct-config test passes declared levels the way get_optional_params does. Long test lines are wrapped.

* fix: read only the built-in catalog when choosing the reasoning drop warning
2026-10-29 04:46:29 -07:00
zoveki
310c96162b
fix(anthropic): drop the non-spec custom object from /v1/messages tool definitions (#48893)
* fix(anthropic): drop the non-spec custom object from /v1/messages tool definitions

Anthropic and Vertex AI reject a tool carrying a custom object with tools.N.custom.custom: Extra inputs are not permitted. Drop it on the shared Anthropic request path, keep the hoist of a boolean custom.defer_loading to top-level defer_loading, reuse the helper on Bedrock, and stop the chat adapter from merging custom into the tool's JSON schema

* fix(messages): hoist custom.defer_loading only on Claude routes and strip custom on count_tokens

Non-Claude Messages providers such as DeepSeek now get custom dropped without a defer_loading hoist, since they have no tool search. /v1/messages/count_tokens on Anthropic, Azure AI, and Vertex AI drops custom too, and the local token counter no longer counts it as schema.

* fix(anthropic): drop tool custom object only under drop_params and hoist defer_loading for Claude models

Without drop_params the tool is forwarded as sent, so the provider's 400 stands. A boolean custom.defer_loading still becomes the top-level flag for Claude models and on Bedrock Invoke and Mantle. Bedrock count_tokens now normalizes invokeModel tools the way Bedrock Messages sends them.

* fix(bedrock): drop tool custom object on the Mantle count_tokens fallback

Mantle Messages drops custom unconditionally, so its count_tokens call now counts the tools the same way.

* fix(messages): keep custom-tool Messages calls on Python and match Mantle count_tokens to Mantle Messages

* test(vertex): annotate count_tokens tool test locals with Final

* fix(messages): pass tools without custom through untouched so Bedrock fallbacks keep filled tool names

* fix(messages): keep Bedrock's in-place tool cleanup so fallbacks still work, and stop hoisting defer_loading on the OpenAI-like passthrough

---------

Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
2026-10-29 03:36:20 -07:00
Mateo Wang
f3513bca9e
fix(bedrock): resolve AWS region and secret lookups off the event loop (#47331)
* fix(bedrock): resolve AWS region and secret lookups off the event loop

Bedrock request paths that resolve their region, endpoint or bearer token
inside the async handler now do it in the AWS signing executor, so a slow
secret manager read no longer stalls every other request on the worker

* fix(bedrock): type the STS client kwargs and claude platform environment override

Keeps the basedpyright counts at or below the merge base after the off-loop wraps, by typing the STS client kwargs as a TypedDict, the claude platform environment override with concrete dicts, and the realtime region call through the typed getter

* test(bedrock): detect event loop stalls without wall-clock timing

The Vault fake now answers a read only after the test loop runs a callback, so a read made on the loop thread is caught deterministically instead of by a sleep and a heartbeat threshold
2026-10-20 17:04:41 +00:00
Mateo Wang
897dda7920
fix(router)!: stop a chat-mode Mantle deployment from rewriting the shared Responses routing row (#46263)
* fix(router): stop a chat-mode Mantle deployment from rewriting the shared Responses routing row

A deployment with an explicit custom_llm_provider and model_info.mode: chat
used to overwrite the shared litellm.model_cost row, moving every other
deployment and plain SDK calls onto Chat Completions until restart, because
the downgrade guard read a double-prefixed key and never fired. The guard now
reads the real key, and a deployment's own mode decides its routing in
responses_api_bridge_check, except on chatgpt and github_copilot where Chat
Completions is dead for responses-mode models.

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

* test(responses): keep the bridge-check mode tests in the sharded bridge flag file

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

* fix(responses): let a deployment mode pin replace only the shared-row mode so the bridge capability rules still run

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

* fix(responses): keep Responses-only backends bridged under a deployment chat pin and satisfy the type gate

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

* fix(responses): give the bridge casts a reason and drop the bare noqa so the type discipline gate passes

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

* fix(responses): keep a responses row with no supported_endpoints bridged under a deployment chat pin

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

* fix(router): read the downgrade guard's mode from the row registration writes

A chat-mode openai/<name> deployment merged into the bare <name> row while the guard read
openai/<name>, so the guard never fired and the shared responses row turned to chat. An explicit
responses/ prefix now also outranks a deployment's chat pin.

* fix(router): let an explicit responses/ prefix outrank a registered chat row

The router now registers a chat-pinned openai/responses/<model> deployment under its own name, so the
lookup found mode chat and the request went to Chat Completions as responses/<model>.

* fix(router): keep the shared row's mode for every deployment pin and honor the pin on /v1/messages

A deployment's mode pin now never rewrites the shared cost-map row in either direction, including the responses/-stripped twin key, so siblings and SDK calls keep routing by the registered mode. The backend key formula goes back to main's, which keeps capability fields off rows that registration never wrote at base. The /v1/messages adapter and handler read the deployment's model_info, so a chat-pinned deployment gets a plain reasoning effort on chat completions.

* fix(router): keep copilot responses opt-in, make unmapped pins order-free, send Mantle auto summary as auto

A responses pin on a github_copilot model or a model missing from the cost map still marks the shared row, since that is how those models opt into the Responses API. A chat pin never marks a row, so registration order no longer matters. Mantle's OpenAI path gets summary auto in place of the auto summary detailed. The Azure o3-pro and o3-deep-research rows drop Chat Completions, which Azure does not serve for them.

* fix(router): skip a non-string model_info.mode when keeping the registered mode

* fix(router): keep chat-pinned Mantle tool calls and summaries on the Responses API

A Mantle row that also serves the Responses API now follows the GPT-5 tool and
reasoning summary bridge rules, since Mantle Chat Completions rejects function tools
on gpt-5.4+ unless reasoning is off and rejects the summary aliases. Mantle chat
gets a dict reasoning_effort as its effort level.

The opt-in auto summary asks each Responses config for its level, auto on Mantle's
OpenAI path, so a client's own detailed summary follows drop_params as at base.

No mode replaces a registered responses mode, and chatgpt and github_copilot rows
take any pin until they are responses, which restores the Copilot chat opt-out.

* fix(responses): ask the target for its auto summary level on the chat bridge and reasoning_effort

* test(integration): run the Mantle region-prefixed v1 base case again

This PR routes that deployment by its own chat pin, so the case passes and no longer needs the skip

* fix(bedrock_mantle): keep web search and reasoning summaries on the Responses API under a chat pin

A chat-pinned Mantle GPT-5 deployment now sends web_search_options and a dict reasoning_effort carrying a summary to the Responses API, which serves them. Mantle Chat Completions drops n above 1 and a reasoning summary under drop_params and answers 400 without it. The /v1/messages adapter probes the bridge with only the client's own summary, so an auto-injected one never moves the request

* fix(bedrock_mantle): check n and reasoning summaries only on the Chat Completions request

* fix(router): keep a non-string deployment mode off the shared routing row

A deployment whose model_info.mode was an int, a list, or an object still
reached the shared cost-map row, so an unpinned sibling on the same backend
stopped routing to the Responses API. The shared registration now drops a
mode that is not a string, and the deployment keeps its own raw value.

Adds integration cells for per-deployment routing across the OpenAI and
Anthropic SDKs, raw httpx, wildcard routes, malformed modes, an upstream
outage, config changes under traffic, and a worker kill plus restart.

* test(integration): find each routing cell's spend row by the response it logged

A bridged call logs its row under the wrapped Responses id, which the caller never sees on a streamed Messages answer, so look the row up by the answer's own ids and the upstream ids for its marker. Int and list modes 500 their own model group on main too, so those cells check only the sibling, and the summary cell sends the auto level Mantle's Responses path accepts

* fix(bedrock_mantle): run extra_body fields through the chat checks

A chat-pinned Mantle request that nests n or reasoning_effort in
extra_body now gets the same 400, drop, and effort-level handling as
the top-level fields. The bridge test injects a MockTransport client
instead of patching HTTPHandler.post.

* test(router): cover nested reasoning_effort routing, messages thinking summaries and per-target auto summary levels

* fix(router): probe a pinned deployment's own API on /health and keep a requested summary beside an extra_body effort

* fix(router): keep a custom-priced deployment's mode pin off the shared backend row on each request

* fix(router): run per-request custom pricing through the shared mode guard so a health probe keeps the row's mode

* fix(router): drop the debug log that wrote a request's model name from keep_registered_mode

* test(router): cover custom-priced chat pins, their health probes and summary aliases beside an extra_body effort

* fix(proxy): pass only the mode pin to a /health probe so a failing probe never cools its deployment down

* test(router): cover failing health probes leaving their deployment out of cooldown, with and without background checks

* test(router): kill the worker that holds burst calls, so the worker kill cell never depends on how the kernel spread them

* fix(router): route a fine-tune the same whichever deployment registers first

Main's register_model now seeds an unmapped fine-tune's row from its base
model's built-in row, mode included, on the first registration. The mode
guard read only the live row, so a responses pin marked the shared row only
when it registered before its siblings. The guard now reads the row the
registration merges onto, the live row or else the row it would seed.

---------

Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-10-17 21:39:14 +00:00
AxelRay
388251a5b8
fix(bedrock): drop dangerous-tool-use beta without safeguards (#44471)
* fix(bedrock): drop dangerous beta without safeguards

* fix(bedrock): drop the dangerous-tool-use beta only next to structured outputs, keep it on Mantle

Bedrock rejects the pair with 'invalid beta flag' on Claude models before Opus 4.7, while requests without structured outputs and Bedrock Mantle accept the beta, so the drop now only applies to Invoke requests with output_config.format or a strict tool and no safeguards.

* fix(anthropic): keep the AnthropicThinkingParam import that main now uses

* fix(bedrock): drop the client's dangerous-tool-use beta whenever safeguards is absent

Bedrock rejects the beta with 'invalid beta flag' on Sonnet 4.5, Opus 4.5, and Opus 4.6 even without structured outputs, so dropping it only next to structured outputs left those beta-only requests failing. The beta does nothing without safeguards, so Invoke now drops it in every such request. Mantle keeps it. The thinking display helper goes back to main's version.

* fix(bedrock): drop the client's dangerous-tool-use beta on Invoke chat without safeguards

* test(bedrock): wire cells for the dangerous-tool-use beta on Invoke messages, chat and responses

* test(bedrock): type the new dangerous-tool-use beta tests

* test(bedrock_mantle): type the dangerous-tool-use beta Mantle test

---------

Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
2026-10-16 21:00:37 +00:00
devin-ai-integration[bot]
c0ca4a51f7
fix(bedrock_mantle): send max_completion_tokens for gpt-5.6 and gpt-6 chat completions (#43982)
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.
2026-10-11 18:28:48 +00:00
joshua-berri
911aff2752
refactor(sdk): separate core AWS and tokenizer dependencies (#44447)
* refactor(sdk): separate core AWS and tokenizer dependencies

* fix(sdk): preserve runtime tokenizer alias compatibility

* test(sdk): compare tokenizer installs through existing entry point

* fix(sdk): preserve bearer headers and optional dependency interfaces

* fix(sdk): retain safe tokenizer fallback diagnostics

* test(sdk): inject tokenizer dependency for fallback diagnostics

* fix(core): preserve AWS dependency errors with retries

* fix(core): centralize optional AWS dependency handling

* refactor(core): reuse optional import helper for Invoke streams

* test(core): compare complete shared dependency requirements

* fix(core): keep tokenizer logging import compatible with main

* fix(core): preserve native token decoding and Responses dependency errors

* test(core): isolate optional dependency import failures

* fix(sdk): retain typed exception message access

* test(sdk): scope HTTP verification environment changes

* fix(sdk): preserve bearer request typing across Bedrock callers

---------

Co-authored-by: Joshua Valluru <326636767+joshua-berri@users.noreply.github.com>
2026-10-08 19:07:57 -07:00
devin-ai-integration[bot]
e2971e0af4
refactor(llms): expose public names for private provider helpers (#45037)
* refactor(litellm): migrate private usage in llms

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

* fix(litellm): preserve Bedrock batch signature marker

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

* refactor(litellm): migrate llms private usage symbols

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

* fix(litellm): preserve UUID Watsonx project IDs

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

* test(litellm): retarget llms mocks to public names

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

* refactor(litellm): limit llms changes to renames and forwarders

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

* fix(litellm): keep GCS mock client patching private Vertex auth methods

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

* test(litellm): assert forwarder arguments and type forwarder signatures

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>
2026-10-07 08:49:25 -07:00
devin-ai-integration[bot]
dfe4df8c8a
test: move whole-unit legacy test files into tests/unit and delete dead skips (#44807)
* test: delete unconditionally skipped legacy tests

* test: move whole-unit legacy test files into tests/unit

* test: keep moved legacy tests free of import-time global state

* test: keep the module-level invocation scan pointed at tests/local_testing

* ci: drop the agent_testing CircleCI job emptied by the move

* test: fix moved-test isolation and router coverage

* test: add Tinyfish search package marker

* test: isolate moved tests from logger state leaks

* test: isolate Helicone logging fixture state

* test: isolate Vertex pass-through credentials between moved tests

* test: cancel S3 periodic flush tasks started by moved tests

* ci: restore CircleCI assistant test selection after move

* test: prevent Datadog datetime import shadowing

* ci: drop the litellm_assistants_api_testing CircleCI job emptied by the move

* test: deduplicate imports in rebased unit tests

* test: remove duplicate passthrough router patch import

* test: remove moved legacy source files after rebase

* test: align moved tests with rebased main

* test: carry main's legacy-file edits into moved destinations

* test: make the moved cost map fallback tests assert the fetch and the backup

The four fallback cases only checked the result was non-empty, so they still
passed with integrity validation disabled. They now inject a mock client, assert
one fetch happened, and assert the result is exactly the local backup with the
fallback reason recorded.

---------

Co-authored-by: yuneng <yuneng@berri.ai>
2026-10-07 05:02:28 +00:00
devin-ai-integration[bot]
01b4ffe16b
fix(bedrock_mantle): route Claude chat completions to the native Messages endpoint (#43646)
* fix(bedrock_mantle): route Claude chat completions to the native Messages endpoint

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

* fix(bedrock_mantle): price Claude chat on the Mantle row and route region-prefixed ids

A Mantle request always carries a region, so a Claude id with no bedrock_mantle/<region>/ row fell through the model-info lookup to the bare Bedrock row, which the bedrock provider family also matches, and billed about 10 percent under the Mantle price. The lookup now tries the provider's region-free row before the bare model. The Claude route test asserts the Mantle row, a region-prefixed Claude id is covered end to end, and the provider config map references the Mantle config directly.

* test(bedrock_mantle): cover supported params for Claude and open-weight Mantle ids

* test(bedrock_mantle): audit the Claude chat bridge on the integration rig

Adds the deterministic cells from the /audit of the Mantle Claude chat
bridge: wire-level translation on every chat, responses, and messages
route, SigV4 and bearer auth, region prefixes, api_base suffixes,
unsupported params with and without drop_params, malformed model ids,
upstream errors, the response-cache hit, the health check, pricing from
the Mantle row for Claude and non-Claude ids with a bare Bedrock twin,
and chaos cells for a mixed burst, an upstream outage, slow streams,
and a worker kill on an owned two-worker proxy

---------

Co-authored-by: jesus <jesus@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
2026-10-03 15:24:41 -07:00
Koh Jun Hao
5ce81631fe
fix(bedrock): send the anthropic-workspace-id header to Bedrock Mantle (#44173)
aws_bedrock_project_id reached Bedrock Mantle as anthropic-workspace, a
header AWS ignores, so requests ran under account defaults and models
that require a project data-retention mode failed with a 400. Send the
header AWS documents, anthropic-workspace-id, on both Mantle routes.

Re-lands #31994 by @gunjanjaswal, merged into the since-deleted
litellm_oss_staging branch on 2026-08-22, which never reached main.

Fixes #31947

Co-authored-by: Claude Fable 5.1 <noreply@anthropic.com>
2026-10-02 21:12:33 -07:00
yuneng-jiang
5e6dc89ba1
test: move tests/test_litellm/llms into tests/unit/llms (#43191)
* 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: move tests/test_litellm/llms into tests/unit/llms

Rename-only. Moves the provider tests and the fine-tuning fixtures they
load, mirroring the old paths. Follow-up commits merge, split and wire them.

* test: merge, split and prune the moved llms tests

Merges the Databricks chat transformation tests into the existing unit
file, keeps the tests that need real keys or the network in
tests/test_litellm, deletes the audited tests a stronger unit test
already covers, and points imports at tests.unit.llms.

* ci: run the moved llms tests under their legacy flags

The Vertex AI and All Other Providers shards keep their legacy test-path
for the retained files and add the llm-vertex-ai and llm-other-providers
unit selections. CircleCI gets matching unit jobs.

* test: make the tests/unit/llms directories packages

Adds __init__.py to the moved dirs and drops the legacy ones whose
directories no longer hold tests.

* test: drop script runners and path hacks the llms split left dangling

The __main__ runners in the split openai_like files and the Databricks e2e
runner called tests that now live in the other half of the split or were
deleted. The retained legacy halves also no longer need sys.path edits.

* 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.

* test: keep the Databricks manual e2e runner and fix the SageMaker Nova run path

The Databricks e2e file is a manual script whose main() calls the tests
that were pruned, so pruning them broke the documented run. It is back to
its main version. The SageMaker Nova docstring now points at the file's
real location in tests/local_testing.

* test: keep the job's UNIT_FLAG out of the shard-script tests

---------

Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-09-25 12:43:23 -07:00
yuneng
e4a58ef91a test(unit): make every tests/unit directory a package so pytest collection is unique
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-09-20 11:50:59 +00:00
yuneng
f61abe00a6 test(llms): wrap remaining lines over 120 chars in migrated unit tests
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-09-20 09:58:23 +00:00
yuneng
b450baa402 test(llms): migrate phase 5 provider unit tests to tests/unit
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-09-20 07:50:38 +00:00