mirror of
https://github.com/BerriAI/litellm.git
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3ee6a70d04
Adds QuickSilver Pro (MachineFi Inc., https://quicksilverpro.io) as a JSON-configured OpenAI-compatible provider, following the SCX.ai provider pattern (PR #34752). - litellm/llms/openai_like/providers.json: `quicksilverpro` entry with base_url https://api.quicksilverpro.io/v1, env vars QUICKSILVERPRO_API_KEY / QUICKSILVERPRO_API_BASE, param_mappings {max_completion_tokens -> max_tokens}, and supported endpoints /v1/chat/completions, /v1/responses, /v1/messages (Claude models). - constants.py: appended to openai_compatible_endpoints and openai_compatible_providers. - types/utils.py: LlmProviders.QUICKSILVERPRO. - model_prices_and_context_window.json (+ backup, kept in sync): 8 models with prices from https://quicksilverpro.io/pricing.json (catalog_version 40, updated 2026-09-30), USD per 1M tokens converted to USD per token: claude-opus-5-5 (1.60/8.00), claude-sonnet-5-5 (1.00/5.00), gpt-6.1-sol (2.00/10.00), deepseek-v4.1-flash (0.125/0.55), glm-5.3-flash (0.06/0.20), mimo-v2.6-pro (0.348/0.696), gemini-3.8-flash (0.6375/3.1875), qwen3.8-27b (0.34/2.04), with cache-read/cache-write prices and context windows from the same catalog. Where pricing.json lists no output cap (deepseek-v4.1-flash, mimo-v2.6-pro), the legacy max_tokens falls back to the context window. - provider_endpoints_support.json (+ backup): chat_completions, messages and responses enabled; embeddings, image_generations, audio_transcriptions, audio_speech, moderations, batches, rerank and a2a disabled (no JSON-provider mechanism exists for images). - proxy/public_endpoints/provider_create_fields.json: QUICKSILVERPRO form entry (required api_key, optional api_base with default placeholder), default model quicksilverpro/claude-sonnet-5-5. - UI: provider enum + slug + logo + placeholder maps (provider_info_helpers.tsx), plate logo treatment (logoTreatments.ts), quicksilverpro.svg in public assets and the built proxy assets. - tests/unit/llms/openai_like/test_quicksilverpro_provider.py (25 tests): registry/config, provider resolution + api_base override, param mapping, router config, dashboard registration, and per-model behaviour checks that charge/read each entry's own prices via cost_per_token + get_model_info instead of pinning upstream numbers. respx-mocked (no network) request tests cover all three declared endpoints: chat/completions (with max_completion_tokens -> max_tokens mapping asserted on the wire), /v1/responses, and /v1/messages. Local validation: 290 passed (tests/unit/llms/openai_like/ + tests/unit/test_model_prices_schema.py), 90 UI tests passed (provider_info_helpers.test.tsx, logoTreatments.test.ts) with no type errors. |
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| .. | ||
| _support | ||
| agent_tests | ||
| audio_tests | ||
| base_sdk_tests | ||
| basic_proxy_startup_tests | ||
| batches_tests | ||
| benchmarks | ||
| code_coverage_tests | ||
| documentation_tests | ||
| e2e | ||
| guardrails_tests | ||
| harness_e2e | ||
| image_gen_tests | ||
| integration | ||
| litellm_utils_tests | ||
| llm_responses_api_testing | ||
| llm_translation | ||
| load_tests | ||
| local_testing | ||
| logging_callback_tests | ||
| mcp_tests | ||
| multi_instance_e2e_tests | ||
| ocr_tests | ||
| openai_endpoints_tests | ||
| otel_tests | ||
| pass_through_tests | ||
| pass_through_unit_tests | ||
| proxy_admin_ui_tests | ||
| proxy_behavior | ||
| proxy_e2e_anthropic_messages_tests | ||
| proxy_migration_tests | ||
| proxy_security_tests | ||
| proxy_unit_tests | ||
| router_unit_tests | ||
| rust-python-harness | ||
| search_tests | ||
| spend_tracking_tests | ||
| store_model_in_db_tests | ||
| test_litellm | ||
| test_litellm_rust | ||
| unified_google_tests | ||
| unit | ||
| vector_store_tests | ||
| windows_tests | ||
| __init__.py | ||
| _fake_openai_endpoint_server.py | ||
| _flush_vcr_cache.py | ||
| _live_test_helpers.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_anthropic_compaction_usage.py | ||
| test_budget_management.py | ||
| test_callbacks_on_proxy.py | ||
| test_debug_warning.py | ||
| test_default_encoding_non_root.py | ||
| test_end_users.py | ||
| test_fallbacks.py | ||
| test_gpt5_azure_temperature_support.py | ||
| test_health.py | ||
| test_keys.py | ||
| test_litellm_proxy_responses_config.py | ||
| test_logging.conf | ||
| test_models.py | ||
| test_new_vector_store_endpoints.py | ||
| test_openai_endpoints.py | ||
| test_otel_thread_leak.py | ||
| test_presidio_latency.py | ||
| test_proxy_server_non_root.py | ||
| test_ratelimit.py | ||
| test_resource_cleanup.py | ||
| test_rust_python_harness.py | ||
| test_service_logger_otel.py | ||
| test_spend_logs.py | ||
| test_team.py | ||
| test_team_logging.py | ||
| test_team_members.py | ||
| test_users.py | ||
| 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.