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* feat(dashscope): derive protocol bases from one domain Accept the DashScope domain root, the OpenAI-compatible base, the Anthropic Messages base, or a native /api/v1 base and derive every surface from it Adds a native Anthropic Messages config for /apps/anthropic so a single deployment serves chat, messages, embeddings, rerank, image generation, and video against the same credential Co-Authored-By: AaronHowell <111272993+AaronHowell@users.noreply.github.com> * fix(dashscope): keep Anthropic credentials off DashScope messages Require a DashScope key or a caller auth header before the Messages path runs, and opt out of workload identity, so the base class cannot fall back to ANTHROPIC_API_KEY or ANTHROPIC_AUTH_TOKEN Also format the image generation base selection * style(dashscope): keep the messages config within the format gate * test(dashscope): cover caller Authorization on messages * fix(dashscope): keep the chat bridge for protocol-named bases and the image default for unconfigured calls * fix(dashscope): keep configured image and rerank bases, normalize blank keys, derive brand chat bases - image calls fall back to the provider's own chat base env (DASHSCOPE_API_BASE, QWENCLOUD_API_BASE, QWEN_AI_PLATFORM_API_BASE) before the image default - an explicit /compatible-api/v1/reranks URL wins over DASHSCOPE_API_BASE_RERANK again - a blank DashScope key counts as unset on /v1/messages, so it never falls back to ANTHROPIC_API_KEY - QwenCloud and Qianwen AI Platform chat and embeddings derive their compatible-mode base from a domain root - tests annotate new variables with Final and drop the config-class assertion * fix(dashscope): keep an explicit compatible-api rerank base as given * fix(dashscope): derive chat from compatible-api bases, keep the caller's rerank base, and let explicit bases beat per-endpoint env vars * fix(dashscope): keep a full DashScope image endpoint URL as given and type the brand tests * fix(dashscope): let the image env var beat any shared DashScope base * fix(dashscope): keep a full DASHSCOPE_API_BASE image URL ahead of the image env var * fix(dashscope): keep a native DashScope endpoint URL as given for chat and the api base header --------- Co-authored-by: AaronHowell <111272993+AaronHowell@users.noreply.github.com> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.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.