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* feat(providers): add CLF AI Gateway (clf_ai_gateway), OpenAI-compatible, 9 models OpenAI-compatible gateway at https://api.clfaigateway.dev/v1 serving open-weight models (GLM, Kimi, DeepSeek, Qwen) on Cloudflare Workers AI upstream. Follows the DeepInfra pattern: ClfAiGatewayConfig(OpenAIGPTConfig), CLF_AI_GATEWAY_API_KEY / _API_BASE, provider registered in enum, provider lists, endpoint inference, lazy-import registry, ProviderConfigManager, validate_environment. Supported params deliberately omit functions/function_call/logit_bias (gateway returns 400 for them). 9 cost-map entries (root + backup) with measured context/output limits and currently billed prices; endpoint-support entry; README row. Mocked tests only. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(clf_ai_gateway): declare each model's real reasoning_effort levels The per-level supports_*_reasoning_effort flags cannot express the sets this gateway actually takes, so all nine models advertised a wrong one: every model offered "minimal" and eight offered "none", neither of which the gateway accepts, five dropped "xhigh", which it does accept, and qwen3.8-27b offered "high", which it rejects. That set surfaces through /model_group/info and the model picker, so a user picking a level off it gets a 400 from the gateway. Declare reasoning_effort_levels instead, taken from the gateway's own GET /v1/public/models, which resolve_supported_reasoning_efforts reads first and uses whole. Declaring it also stops clf_ai_gateway/deepseek-v4-pro and clf_ai_gateway/deepseek-v4-flash inheriting effort metadata from the unprefixed deepseek entries of the same name. * test(clf_ai_gateway): name the gateway-rejected params instead of commenting them * fix(clf_ai_gateway): list the provider in the proxy Add Model form main now requires every LlmProviders value to have an entry in provider_create_fields.json (or be frozen as unlisted), so the Add Model dropdown cannot silently miss a backend provider. Add the clf_ai_gateway entry in the same shape as the SCX.ai registration: required API key, optional API base with https://api.clfaigateway.dev/v1 as placeholder, and a cost-map model as the default model placeholder. A provider test pins the entry. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> * fix(clf_ai_gateway): sync prices and reasoning_effort levels with the live catalog CLF AI Gateway raised its launch discount from 40% to 60% off list on 2026-09-26. It also re-measured every model's reasoning_effort levels against the current Workers AI behaviour. - input/output/cached per-token prices for all 9 models now match GET https://api.clfaigateway.dev/v1/public/models to the nano; qwen3.8-27b cached input also follows the upstream cached rate published on 2026-09-25 - reasoning_effort_levels: add "max" to deepseek-v4-flash, deepseek-v4-pro, glm-5.2 and glm-5.3-flash; add "none" to kimi-k2.6 (it really disables thinking there); drop "none" from glm-5.3 (upstream runs it as "max") Context windows, output limits and vision flags are unchanged and were checked against the same endpoint. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> * fix(clf_ai_gateway): drop a rebind-ok that no longer suppresses anything After rebasing onto main, the type-discipline gate's new LIT013 rule flags the `# rebind-ok` on the endpoint-inference `dynamic_api_key` assignment. The rebind rule no longer fires on that line, so the suppression is inert. The sibling endpoint branches carry no comment there either. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> * test(clf_ai_gateway): expect the re-measured reasoning_effort levels Follows the catalog sync: max on deepseek-v4-flash, deepseek-v4-pro, glm-5.2 and glm-5.3-flash, none on kimi-k2.6, and no none on glm-5.3. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> * test(clf_ai_gateway): move the provider tests to tests/unit/llms main moved every per-provider test from tests/test_litellm/llms/<provider>/ to tests/unit/llms/<provider>/ (DeepInfra lives at tests/unit/llms/deepinfra/). This branch still added the old path, so no CI shard claimed it. That failed assert-ci-coverage and assert-shard-coverage, and the file never ran (hence the low codecov/patch). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> * test(clf_ai_gateway): assert routing, billing, and dropped params instead of pinned gateway facts * fix(clf_ai_gateway): keep the type-discipline gate at its merge-base count * chore(clf_ai_gateway): regenerate provider endpoint support * ci(clf_ai_gateway): run the provider tests in the llms unit shard * fix(clf_ai_gateway): drop the retired max_tokens field from the cost map rows * fix(clf_ai_gateway): forward params the gateway accepts, drop undeclared reasoning levels, add deepseek-v4.1-flash * fix(clf_ai_gateway): drop the unreachable non-chat supported-params branch * fix(clf_ai_gateway): send a dict reasoning_effort as its level * fix(clf_ai_gateway): refuse a reasoning_effort dict without a level unless drop_params drops it --------- Co-authored-by: bap1106 <bap1106@users.noreply.github.com> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Co-authored-by: Claude Opus 5 <noreply@anthropic.com> |
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| .. | ||
| _support | ||
| audio_tests | ||
| base_sdk_tests | ||
| benchmarks | ||
| code_coverage_tests | ||
| documentation_tests | ||
| e2e | ||
| e2e_harness | ||
| fixtures | ||
| harness_e2e | ||
| integration | ||
| rust-python-harness | ||
| test_litellm_rust | ||
| typing | ||
| unit | ||
| windows_tests | ||
| __init__.py | ||
| _fake_openai_endpoint_server.py | ||
| _flush_vcr_cache.py | ||
| _live_test_helpers.py | ||
| _master_key.py | ||
| _openai_record_replay_proxy.py | ||
| _process_helpers.py | ||
| _vcr_conftest_common.py | ||
| _vcr_redis_persister.py | ||
| _wait_helpers.py | ||
| _ws_vcr.py | ||
| AGENTS.md | ||
| capturing_transport.py | ||
| eval_swe_bench.py | ||
| fake_openai_endpoint.py | ||
| gettysburg.wav | ||
| large_text.py | ||
| openai_batch_completions.jsonl | ||
| pyrightconfig.json | ||
| README.MD | ||
| test_logging.conf | ||
| test_rust_python_harness.py | ||
| VCR_TESTING.md | ||
| white_100x100.png | ||
In total litellm runs 1000+ tests
[02/20/2025] Update:
To make it easier to contribute and map what behavior is tested,
we've started mapping the litellm directory in tests/unit
This folder can only run mock tests.