diff --git a/litellm/__init__.py b/litellm/__init__.py index 1784deeb797..bce90181f7c 100644 --- a/litellm/__init__.py +++ b/litellm/__init__.py @@ -680,6 +680,7 @@ moonshot_models: Set = set() publicai_models: Set = set() darkbloom_models: Set = set() openinfer_models: Final[Set[str]] = set() +streamlake_models: Final[Set[str]] = set() v0_models: Set = set() morph_models: Set = set() lambda_ai_models: Set = set() @@ -966,6 +967,8 @@ def _populate_provider_model_sets(model_cost_map: Mapping[str, Mapping[str, obje darkbloom_models.add(key) elif value.get("litellm_provider") == "openinfer": openinfer_models.add(key) + elif value.get("litellm_provider") == "streamlake": + streamlake_models.add(key) elif value.get("litellm_provider") == "v0": v0_models.add(key) elif value.get("litellm_provider") == "morph": @@ -1135,6 +1138,7 @@ model_list = list( | publicai_models | darkbloom_models | openinfer_models + | streamlake_models | v0_models | morph_models | lambda_ai_models @@ -1252,6 +1256,7 @@ def _build_models_by_provider() -> dict: "publicai": publicai_models, "darkbloom": darkbloom_models, "openinfer": openinfer_models, + "streamlake": streamlake_models, "v0": v0_models, "morph": morph_models, "lambda_ai": lambda_ai_models, diff --git a/litellm/constants.py b/litellm/constants.py index c0fe0491775..3d4cf7e0fc4 100644 --- a/litellm/constants.py +++ b/litellm/constants.py @@ -1060,6 +1060,7 @@ openai_compatible_endpoints: Final[list[str]] = [ "https://api.reka.ai/v1", "https://gigachat.devices.sberbank.ru/api/v1", "https://api.openinfer.ai/v1", + "https://vanchin.streamlake.ai/api/gateway/v1/endpoints", ] @@ -1138,6 +1139,7 @@ openai_compatible_providers: Final[list[str]] = [ "prism", "sail", "reka", + "streamlake", ] OPENAI_AUDIO_TRANSCRIPTION_PROVIDERS: Final = frozenset({"openai"} | frozenset(openai_compatible_providers)) diff --git a/litellm/llms/openai_like/providers.json b/litellm/llms/openai_like/providers.json index 36337fddbdc..bb7e6a7d3e1 100644 --- a/litellm/llms/openai_like/providers.json +++ b/litellm/llms/openai_like/providers.json @@ -249,5 +249,18 @@ "/v1/responses", "/v1/messages" ] + }, + "streamlake": { + "base_url": "https://vanchin.streamlake.ai/api/gateway/v1/endpoints", + "api_key_env": "STREAMLAKE_API_KEY", + "api_base_env": "STREAMLAKE_API_BASE", + "param_mappings": { + "max_completion_tokens": "max_tokens" + }, + "provider_info": { + "supports_function_calling": true, + "supports_reasoning": true + }, + "supported_endpoints": ["/v1/chat/completions"] } } diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index cb9bfa6ffe4..87013bfcd39 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -62175,6 +62175,297 @@ "supports_tool_choice": true, "supports_vision": true }, + "streamlake/deepseek-v4-flash-0731": { + "cache_read_input_token_cost": 1.4e-08, + "input_cost_per_token": 4.4e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 1048576, + "max_output_tokens": 384000, + "max_tokens": 384000, + "mode": "chat", + "output_cost_per_token": 1.32e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "supports_response_schema": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/DeepSeek-V4-Pro-0813": { + "cache_read_input_token_cost": 4.4e-08, + "input_cost_per_token": 1.32e-06, + "litellm_provider": "streamlake", + "max_input_tokens": 1048576, + "max_output_tokens": 384000, + "max_tokens": 384000, + "mode": "chat", + "output_cost_per_token": 3.96e-06, + "supports_function_calling": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/DeepSeek-V3": { + "cache_read_input_token_cost": 1.14e-07, + "input_cost_per_token": 2.86e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 56000, + "max_output_tokens": 8000, + "max_tokens": 8000, + "mode": "chat", + "output_cost_per_token": 1.143e-06, + "supports_function_calling": true, + "supports_reasoning": false, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/GLM-5.3": { + "cache_read_input_token_cost": 2.6e-07, + "input_cost_per_token": 1.4e-06, + "litellm_provider": "streamlake", + "max_input_tokens": 1048576, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 4.4e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_assistant_prefill": true, + "supports_prompt_caching": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/GLM-5.3-Flash": { + "cache_read_input_token_cost": 3e-08, + "input_cost_per_token": 1.5e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 1048576, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 5e-07, + "supports_function_calling": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_vision": true, + "supports_assistant_prefill": true, + "supports_prompt_caching": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/Kimi-K2-Instruct-0905": { + "cache_read_input_token_cost": 1.43e-07, + "input_cost_per_token": 5.71e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 224000, + "max_output_tokens": 32000, + "max_tokens": 32000, + "mode": "chat", + "output_cost_per_token": 2.286e-06, + "supports_function_calling": true, + "supports_reasoning": false, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/deepseek-r1": { + "cache_read_input_token_cost": 2.29e-07, + "input_cost_per_token": 5.71e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 112000, + "max_output_tokens": 16000, + "max_tokens": 16000, + "mode": "chat", + "output_cost_per_token": 2.286e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/deepseek-v3.1": { + "cache_read_input_token_cost": 2.29e-07, + "input_cost_per_token": 5.71e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 96000, + "max_output_tokens": 32000, + "max_tokens": 32000, + "mode": "chat", + "output_cost_per_token": 1.714e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/deepseek-v4-flash": { + "cache_read_input_token_cost": 2.8e-08, + "input_cost_per_token": 1.4e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 1048576, + "max_output_tokens": 384000, + "max_tokens": 384000, + "mode": "chat", + "output_cost_per_token": 2.8e-07, + "supports_function_calling": true, + "supports_reasoning": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/deepseek-v4-pro": { + "cache_read_input_token_cost": 1.45e-07, + "input_cost_per_token": 1.74e-06, + "litellm_provider": "streamlake", + "max_input_tokens": 1048576, + "max_output_tokens": 384000, + "max_tokens": 384000, + "mode": "chat", + "output_cost_per_token": 3.48e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/deepseek-v4.1-flash-1017": { + "cache_read_input_token_cost": 6e-09, + "input_cost_per_token": 3e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 1048576, + "max_output_tokens": 384000, + "max_tokens": 384000, + "mode": "chat", + "output_cost_per_token": 1.2e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/deepseek-v4.1-flash-260910": { + "cache_read_input_token_cost": 6e-09, + "input_cost_per_token": 3e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 1048576, + "max_output_tokens": 384000, + "max_tokens": 384000, + "mode": "chat", + "output_cost_per_token": 1.2e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/glm-5": { + "cache_read_input_token_cost": 2e-07, + "input_cost_per_token": 1e-06, + "litellm_provider": "streamlake", + "max_input_tokens": 200000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 3.2e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/glm-5.1": { + "cache_read_input_token_cost": 2.6e-07, + "input_cost_per_token": 1.4e-06, + "litellm_provider": "streamlake", + "max_input_tokens": 200000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 4.4e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/glm-5.2": { + "cache_read_input_token_cost": 2.6e-07, + "input_cost_per_token": 1.4e-06, + "litellm_provider": "streamlake", + "max_input_tokens": 1048576, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 4.4e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/kimi-k2.6": { + "cache_read_input_token_cost": 1.6e-07, + "input_cost_per_token": 9.5e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 256000, + "max_output_tokens": 256000, + "max_tokens": 256000, + "mode": "chat", + "output_cost_per_token": 4e-06, + "supports_function_calling": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/kimi-k2.7-code": { + "cache_read_input_token_cost": 1.9e-07, + "input_cost_per_token": 9.5e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 256000, + "max_output_tokens": 32000, + "max_tokens": 32000, + "mode": "chat", + "output_cost_per_token": 4e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/minimax-m2.5": { + "cache_creation_input_token_cost": 3.75e-07, + "cache_read_input_token_cost": 3e-08, + "input_cost_per_token": 3e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 200000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 1.2e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/qwen3.5-397b-a17b": { + "cache_read_input_token_cost": 1.2e-07, + "input_cost_per_token": 6e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 252000, + "max_output_tokens": 64000, + "max_tokens": 64000, + "mode": "chat", + "output_cost_per_token": 3.6e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/qwen3.6-27b": { + "input_cost_per_token": 6e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 254000, + "max_output_tokens": 64000, + "max_tokens": 64000, + "mode": "chat", + "output_cost_per_token": 3.6e-06, + "supports_function_calling": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/qwen3.6-35b-a3b": { + "input_cost_per_token": 3.75e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 254000, + "max_output_tokens": 64000, + "max_tokens": 64000, + "mode": "chat", + "output_cost_per_token": 2.25e-06, + "supports_function_calling": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/qwen3.8-2.4t-a95b": { + "input_cost_per_token": 2e-06, + "litellm_provider": "streamlake", + "max_input_tokens": 991000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 6e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, "deepseek-v4-flash": { "cache_creation_input_token_cost": 0.0, "cache_read_input_token_cost": 6e-09, diff --git a/litellm/provider_endpoints_support_backup.json b/litellm/provider_endpoints_support_backup.json index f95b553c2b4..5b75bffde65 100644 --- a/litellm/provider_endpoints_support_backup.json +++ b/litellm/provider_endpoints_support_backup.json @@ -2748,6 +2748,23 @@ "rerank": false, "a2a": false } + }, + "streamlake": { + "display_name": "StreamLake (`streamlake`)", + "url": "https://docs.litellm.ai/docs/providers/openai_compatible", + "endpoints": { + "chat_completions": true, + "messages": false, + "responses": false, + "embeddings": false, + "image_generations": false, + "audio_transcriptions": false, + "audio_speech": false, + "moderations": false, + "batches": false, + "rerank": false, + "a2a": false + } } }, "endpoints": { diff --git a/litellm/proxy/public_endpoints/provider_create_fields.json b/litellm/proxy/public_endpoints/provider_create_fields.json index 4bec42a7868..ab4d9228820 100644 --- a/litellm/proxy/public_endpoints/provider_create_fields.json +++ b/litellm/proxy/public_endpoints/provider_create_fields.json @@ -3417,6 +3417,34 @@ ], "default_model_placeholder": "inferenceapis/deepseek-ai/DeepSeek-V4-Flash" }, + { + "provider": "StreamLake", + "provider_display_name": "StreamLake", + "litellm_provider": "streamlake", + "credential_fields": [ + { + "key": "api_base", + "label": "API Base", + "placeholder": "https://vanchin.streamlake.ai/api/gateway/v1/endpoints", + "tooltip": null, + "required": false, + "field_type": "text", + "options": null, + "default_value": null + }, + { + "key": "api_key", + "label": "API Key", + "placeholder": null, + "tooltip": null, + "required": true, + "field_type": "password", + "options": null, + "default_value": null + } + ], + "default_model_placeholder": "streamlake/GLM-5.3-Flash" + }, { "provider": "Snowflake", "provider_display_name": "Snowflake", diff --git a/litellm/types/utils.py b/litellm/types/utils.py index 5939a350970..05cda7c161f 100644 --- a/litellm/types/utils.py +++ b/litellm/types/utils.py @@ -4553,6 +4553,7 @@ class LlmProviders(str, Enum): META = "meta" SAIL = "sail" REKA = "reka" + STREAMLAKE = "streamlake" LITELLM_AGENT = "litellm_agent" CURSOR = "cursor" BEDROCK_MANTLE = "bedrock_mantle" diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index cb9bfa6ffe4..87013bfcd39 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -62175,6 +62175,297 @@ "supports_tool_choice": true, "supports_vision": true }, + "streamlake/deepseek-v4-flash-0731": { + "cache_read_input_token_cost": 1.4e-08, + "input_cost_per_token": 4.4e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 1048576, + "max_output_tokens": 384000, + "max_tokens": 384000, + "mode": "chat", + "output_cost_per_token": 1.32e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "supports_response_schema": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/DeepSeek-V4-Pro-0813": { + "cache_read_input_token_cost": 4.4e-08, + "input_cost_per_token": 1.32e-06, + "litellm_provider": "streamlake", + "max_input_tokens": 1048576, + "max_output_tokens": 384000, + "max_tokens": 384000, + "mode": "chat", + "output_cost_per_token": 3.96e-06, + "supports_function_calling": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/DeepSeek-V3": { + "cache_read_input_token_cost": 1.14e-07, + "input_cost_per_token": 2.86e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 56000, + "max_output_tokens": 8000, + "max_tokens": 8000, + "mode": "chat", + "output_cost_per_token": 1.143e-06, + "supports_function_calling": true, + "supports_reasoning": false, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/GLM-5.3": { + "cache_read_input_token_cost": 2.6e-07, + "input_cost_per_token": 1.4e-06, + "litellm_provider": "streamlake", + "max_input_tokens": 1048576, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 4.4e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_assistant_prefill": true, + "supports_prompt_caching": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/GLM-5.3-Flash": { + "cache_read_input_token_cost": 3e-08, + "input_cost_per_token": 1.5e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 1048576, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 5e-07, + "supports_function_calling": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_vision": true, + "supports_assistant_prefill": true, + "supports_prompt_caching": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/Kimi-K2-Instruct-0905": { + "cache_read_input_token_cost": 1.43e-07, + "input_cost_per_token": 5.71e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 224000, + "max_output_tokens": 32000, + "max_tokens": 32000, + "mode": "chat", + "output_cost_per_token": 2.286e-06, + "supports_function_calling": true, + "supports_reasoning": false, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/deepseek-r1": { + "cache_read_input_token_cost": 2.29e-07, + "input_cost_per_token": 5.71e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 112000, + "max_output_tokens": 16000, + "max_tokens": 16000, + "mode": "chat", + "output_cost_per_token": 2.286e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/deepseek-v3.1": { + "cache_read_input_token_cost": 2.29e-07, + "input_cost_per_token": 5.71e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 96000, + "max_output_tokens": 32000, + "max_tokens": 32000, + "mode": "chat", + "output_cost_per_token": 1.714e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/deepseek-v4-flash": { + "cache_read_input_token_cost": 2.8e-08, + "input_cost_per_token": 1.4e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 1048576, + "max_output_tokens": 384000, + "max_tokens": 384000, + "mode": "chat", + "output_cost_per_token": 2.8e-07, + "supports_function_calling": true, + "supports_reasoning": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/deepseek-v4-pro": { + "cache_read_input_token_cost": 1.45e-07, + "input_cost_per_token": 1.74e-06, + "litellm_provider": "streamlake", + "max_input_tokens": 1048576, + "max_output_tokens": 384000, + "max_tokens": 384000, + "mode": "chat", + "output_cost_per_token": 3.48e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/deepseek-v4.1-flash-1017": { + "cache_read_input_token_cost": 6e-09, + "input_cost_per_token": 3e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 1048576, + "max_output_tokens": 384000, + "max_tokens": 384000, + "mode": "chat", + "output_cost_per_token": 1.2e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/deepseek-v4.1-flash-260910": { + "cache_read_input_token_cost": 6e-09, + "input_cost_per_token": 3e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 1048576, + "max_output_tokens": 384000, + "max_tokens": 384000, + "mode": "chat", + "output_cost_per_token": 1.2e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/glm-5": { + "cache_read_input_token_cost": 2e-07, + "input_cost_per_token": 1e-06, + "litellm_provider": "streamlake", + "max_input_tokens": 200000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 3.2e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/glm-5.1": { + "cache_read_input_token_cost": 2.6e-07, + "input_cost_per_token": 1.4e-06, + "litellm_provider": "streamlake", + "max_input_tokens": 200000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 4.4e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/glm-5.2": { + "cache_read_input_token_cost": 2.6e-07, + "input_cost_per_token": 1.4e-06, + "litellm_provider": "streamlake", + "max_input_tokens": 1048576, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 4.4e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/kimi-k2.6": { + "cache_read_input_token_cost": 1.6e-07, + "input_cost_per_token": 9.5e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 256000, + "max_output_tokens": 256000, + "max_tokens": 256000, + "mode": "chat", + "output_cost_per_token": 4e-06, + "supports_function_calling": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/kimi-k2.7-code": { + "cache_read_input_token_cost": 1.9e-07, + "input_cost_per_token": 9.5e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 256000, + "max_output_tokens": 32000, + "max_tokens": 32000, + "mode": "chat", + "output_cost_per_token": 4e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/minimax-m2.5": { + "cache_creation_input_token_cost": 3.75e-07, + "cache_read_input_token_cost": 3e-08, + "input_cost_per_token": 3e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 200000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 1.2e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/qwen3.5-397b-a17b": { + "cache_read_input_token_cost": 1.2e-07, + "input_cost_per_token": 6e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 252000, + "max_output_tokens": 64000, + "max_tokens": 64000, + "mode": "chat", + "output_cost_per_token": 3.6e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/qwen3.6-27b": { + "input_cost_per_token": 6e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 254000, + "max_output_tokens": 64000, + "max_tokens": 64000, + "mode": "chat", + "output_cost_per_token": 3.6e-06, + "supports_function_calling": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/qwen3.6-35b-a3b": { + "input_cost_per_token": 3.75e-07, + "litellm_provider": "streamlake", + "max_input_tokens": 254000, + "max_output_tokens": 64000, + "max_tokens": 64000, + "mode": "chat", + "output_cost_per_token": 2.25e-06, + "supports_function_calling": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, + "streamlake/qwen3.8-2.4t-a95b": { + "input_cost_per_token": 2e-06, + "litellm_provider": "streamlake", + "max_input_tokens": 991000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 6e-06, + "supports_function_calling": true, + "supports_reasoning": true, + "source": "https://www.streamlake.ai/document/DOC/mgrnm4xm362hvp5wyce" + }, "deepseek-v4-flash": { "cache_creation_input_token_cost": 0.0, "cache_read_input_token_cost": 6e-09, diff --git a/provider_endpoints_support.json b/provider_endpoints_support.json index d65da3f41fd..eb51e76c4ff 100644 --- a/provider_endpoints_support.json +++ b/provider_endpoints_support.json @@ -2547,6 +2547,23 @@ "text_completion": true } }, + "streamlake": { + "display_name": "StreamLake (`streamlake`)", + "url": "https://docs.litellm.ai/docs/providers/openai_compatible", + "endpoints": { + "chat_completions": true, + "messages": true, + "responses": true, + "embeddings": false, + "image_generations": false, + "audio_transcriptions": false, + "audio_speech": false, + "moderations": false, + "batches": false, + "rerank": false, + "a2a": false + } + }, "tencent": { "display_name": "Tencent TokenHub (`tencent`)", "url": "https://docs.litellm.ai/docs/providers/tencent", diff --git a/tests/unit/llms/openai_like/test_streamlake_provider.py b/tests/unit/llms/openai_like/test_streamlake_provider.py new file mode 100644 index 00000000000..23969cf6849 --- /dev/null +++ b/tests/unit/llms/openai_like/test_streamlake_provider.py @@ -0,0 +1,315 @@ +import json +from pathlib import Path +from typing import Final + +import httpx +import pytest +import respx + +import litellm +from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider +from litellm.llms.openai_like.dynamic_config import create_config_class +from litellm.llms.openai_like.json_loader import JSONProviderRegistry +from litellm.types.utils import ModelResponse, Usage + +STREAMLAKE_BASE_URL = "https://vanchin.streamlake.ai/api/gateway/v1/endpoints" +STREAMLAKE_CHAT_URL = f"{STREAMLAKE_BASE_URL}/chat/completions" + +REPO_ROOT: Final = Path(__file__).parents[4] + + +class TestStreamlakeProviderConfig: + def test_streamlake_provider_resolution(self): + model, provider, api_key, api_base = get_llm_provider( + model="streamlake/ep-test-endpoint", + custom_llm_provider=None, + api_base=None, + api_key="sk-test", + ) + + assert model == "ep-test-endpoint" + assert provider == "streamlake" + assert api_base == STREAMLAKE_BASE_URL + assert api_key == "sk-test" + + def test_streamlake_api_base_override(self): + model, provider, api_key, api_base = get_llm_provider( + model="streamlake/ep-test-endpoint", + custom_llm_provider=None, + api_base="https://custom.streamlake.example/v1", + api_key="sk-test", + ) + + assert model == "ep-test-endpoint" + assert provider == "streamlake" + assert api_base == "https://custom.streamlake.example/v1" + assert api_key == "sk-test" + + def test_streamlake_url_autodetection(self): + model, provider, api_key, api_base = get_llm_provider( + model="some-public-model", + custom_llm_provider=None, + api_base=STREAMLAKE_BASE_URL, + api_key=None, + ) + assert provider == "streamlake" + assert api_base == STREAMLAKE_BASE_URL + + def test_streamlake_api_key_resolved_from_env(self, monkeypatch): + monkeypatch.setenv("STREAMLAKE_API_KEY", "sk-env-key") + + _, provider, api_key, _ = get_llm_provider( + model="streamlake/ep-test-endpoint", + custom_llm_provider=None, + api_base=None, + api_key=None, + ) + assert provider == "streamlake" + assert api_key == "sk-env-key" + + def test_streamlake_validate_environment_sets_bearer(self): + from litellm.llms.openai_like.dynamic_config import create_config_class + from litellm.llms.openai_like.json_loader import JSONProviderRegistry + + provider = JSONProviderRegistry.get("streamlake") + assert provider is not None + config = create_config_class(provider)() + + headers = config.validate_environment( + headers={}, + model="ep-test-endpoint", + messages=[{"role": "user", "content": "hi"}], + optional_params={}, + litellm_params={}, + api_key="sk-resolved-key", + api_base=None, + ) + assert headers["Authorization"] == "Bearer sk-resolved-key" + + def test_streamlake_complete_url_appends_chat_completions(self): + from litellm.llms.openai_like.dynamic_config import create_config_class + from litellm.llms.openai_like.json_loader import JSONProviderRegistry + + provider = JSONProviderRegistry.get("streamlake") + assert provider is not None + config = create_config_class(provider)() + + url = config.get_complete_url( + api_base=None, + api_key="sk-test", + model="ep-test-endpoint", + optional_params={}, + litellm_params={}, + ) + assert url == STREAMLAKE_CHAT_URL + + def test_streamlake_max_completion_tokens_mapped_to_max_tokens(self): + from litellm.llms.openai_like.dynamic_config import create_config_class + from litellm.llms.openai_like.json_loader import JSONProviderRegistry + + provider = JSONProviderRegistry.get("streamlake") + assert provider is not None + config = create_config_class(provider)() + + optional_params = config.map_openai_params( + non_default_params={"max_completion_tokens": 1024}, + optional_params={}, + model="ep-test-endpoint", + drop_params=False, + ) + assert optional_params == {"max_tokens": 1024} + assert "max_completion_tokens" not in optional_params + + def test_streamlake_chat_params_pass_through(self): + from litellm.llms.openai_like.dynamic_config import create_config_class + from litellm.llms.openai_like.json_loader import JSONProviderRegistry + + provider = JSONProviderRegistry.get("streamlake") + assert provider is not None + config = create_config_class(provider)() + + optional_params = config.map_openai_params( + non_default_params={"temperature": 0.2, "top_p": 0.9, "stream": True}, + optional_params={}, + model="ep-test-endpoint", + drop_params=False, + ) + assert optional_params == {"temperature": 0.2, "top_p": 0.9, "stream": True} + + +@pytest.mark.asyncio +@pytest.mark.parametrize( + "is_async, api_base", + ( + (False, None), + (False, "https://custom.streamlake.example/v1"), + (False, "https://custom.streamlake.example/v1/"), + (True, None), + (True, "https://custom.streamlake.example/v1"), + (True, "https://custom.streamlake.example/v1/"), + ), + ids=( + "sync-default", + "sync-override", + "sync-override-trailing-slash", + "async-default", + "async-override", + "async-override-trailing-slash", + ), +) +async def test_streamlake_completion_uses_openai_compatible_http( + is_async: bool, api_base: str | None, monkeypatch: pytest.MonkeyPatch +) -> None: + response_body: Final[dict[str, object]] = { + "id": "chatcmpl-streamlake-test", + "object": "chat.completion", + "created": 1710000000, + "model": "ep-test-endpoint", + "choices": [ + { + "index": 0, + "message": {"role": "assistant", "content": "StreamLake response"}, + "finish_reason": "stop", + } + ], + "usage": {"prompt_tokens": 3, "completion_tokens": 2, "total_tokens": 5}, + } + expected_url: Final[str] = f"{(api_base or STREAMLAKE_BASE_URL).rstrip('/')}/chat/completions" + expected_request_body: Final[dict[str, object]] = { + "messages": [{"role": "user", "content": "hello"}], + "model": "ep-test-endpoint", + "max_tokens": 512, + } + + def handler(request: httpx.Request) -> httpx.Response: + assert request.method == "POST" + assert str(request.url) == expected_url + assert request.headers["authorization"] == "Bearer sk-streamlake-test" + assert request.headers["content-type"] == "application/json" + assert json.loads(request.content) == expected_request_body + return httpx.Response(200, json=response_body, request=request) + + monkeypatch.setattr(litellm, "disable_aiohttp_transport", True) + litellm.in_memory_llm_clients_cache.flush_cache() + with respx.mock(assert_all_called=True) as respx_mock: + route: Final = respx_mock.post(expected_url).mock(side_effect=handler) + if is_async: + response: Final = await litellm.acompletion( + model="streamlake/ep-test-endpoint", + messages=[{"role": "user", "content": "hello"}], + api_key="sk-streamlake-test", + api_base=api_base, + max_completion_tokens=512, + ) + else: + response: Final = litellm.completion( + model="streamlake/ep-test-endpoint", + messages=[{"role": "user", "content": "hello"}], + api_key="sk-streamlake-test", + api_base=api_base, + max_completion_tokens=512, + ) + + assert route.call_count == 1 + assert len(response.choices) == 1 + assert response.choices[0].message.role == "assistant" + assert response.choices[0].message.content == "StreamLake response" + assert response.usage is not None + assert response.usage.prompt_tokens == 3 + assert response.usage.completion_tokens == 2 + assert response.usage.total_tokens == 5 + + +@pytest.mark.usefixtures("local_model_cost_map") +def test_endpoint_id_call_forwards_tools_and_reasoning_effort_to_streamlake(monkeypatch: pytest.MonkeyPatch) -> None: + tools: Final = [ + { + "type": "function", + "function": { + "name": "get_weather", + "parameters": {"type": "object", "properties": {"city": {"type": "string"}}}, + }, + } + ] + response_body: Final[dict[str, object]] = { + "id": "chatcmpl-streamlake-tools", + "object": "chat.completion", + "created": 1710000000, + "model": "glm-5.3", + "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}], + "usage": {"prompt_tokens": 3, "completion_tokens": 1, "total_tokens": 4}, + } + monkeypatch.setattr(litellm, "disable_aiohttp_transport", True) + litellm.in_memory_llm_clients_cache.flush_cache() + with respx.mock(assert_all_called=True) as respx_mock: + route: Final = respx_mock.post(STREAMLAKE_CHAT_URL).mock( + return_value=httpx.Response(200, json=response_body) + ) + litellm.completion( + model="streamlake/ep-test-endpoint", + messages=[{"role": "user", "content": "weather in Paris?"}], + api_key="sk-streamlake-test", + tools=tools, + tool_choice="auto", + reasoning_effort="low", + ) + + sent: Final = json.loads(route.calls.last.request.content) + assert sent["tools"] == tools + assert sent["tool_choice"] == "auto" + assert sent["reasoning_effort"] == "low" + + +def _streamlake_keys(cost_map: dict[str, object]) -> tuple[str, ...]: + return tuple(key for key in cost_map if key.startswith("streamlake/")) + + +def test_root_and_backup_cost_maps_carry_the_same_streamlake_rows() -> None: + root: Final = json.loads((REPO_ROOT / "model_prices_and_context_window.json").read_text()) + backup: Final = json.loads((REPO_ROOT / "litellm" / "model_prices_and_context_window_backup.json").read_text()) + + assert _streamlake_keys(root) + assert {key: root[key] for key in _streamlake_keys(root)} == {key: backup[key] for key in _streamlake_keys(backup)} + + +@pytest.mark.usefixtures("local_model_cost_map") +def test_endpoint_id_call_is_priced_from_the_lowercase_model_streamlake_returns() -> None: + keys: Final = _streamlake_keys(litellm.model_cost) + assert keys + + for key in keys: + info = litellm.get_model_info(model=key) + response = ModelResponse( + model=key.split("/", 1)[1].lower(), + usage=Usage(prompt_tokens=1000, completion_tokens=500, total_tokens=1500), + ) + cost = litellm.completion_cost( + completion_response=response, + model="streamlake/ep-test-endpoint", + custom_llm_provider="streamlake", + ) + expected = 1000 * info["input_cost_per_token"] + 500 * info["output_cost_per_token"] + assert cost == pytest.approx(expected), key + + +@pytest.mark.usefixtures("local_model_cost_map") +def test_named_model_params_follow_the_row_and_fall_back_to_the_provider_default() -> None: + provider: Final = JSONProviderRegistry.get("streamlake") + assert provider is not None + config: Final = create_config_class(provider)() + keys: Final = _streamlake_keys(litellm.model_cost) + assert keys + + for key in keys: + row = litellm.model_cost[key] + supported = config.get_supported_openai_params(model=key.split("/", 1)[1].lower()) + assert ("tools" in supported) is (row.get("supports_function_calling") is not False), key + assert ("reasoning_effort" in supported) is (row.get("supports_reasoning") is not False), key + + +@pytest.mark.usefixtures("local_model_cost_map") +def test_streamlake_wildcard_expands_to_every_streamlake_row() -> None: + from litellm.proxy.auth.model_checks import get_known_models_from_wildcard + + expanded: Final = get_known_models_from_wildcard("streamlake/*") + assert set(expanded) == set(_streamlake_keys(litellm.model_cost)) diff --git a/tests/unit/proxy/public_endpoints/test_public_endpoints.py b/tests/unit/proxy/public_endpoints/test_public_endpoints.py index 8f27365fcc1..239eb5f1179 100644 --- a/tests/unit/proxy/public_endpoints/test_public_endpoints.py +++ b/tests/unit/proxy/public_endpoints/test_public_endpoints.py @@ -1121,6 +1121,29 @@ def test_get_supported_endpoints_chat_completions_present(reset_endpoints_cache) assert len(chat["providers"]) > 0 +def test_get_supported_endpoints_streamlake_only_advertises_chat_completions( + reset_endpoints_cache: None, +) -> None: + app: Final[FastAPI] = FastAPI() + app.include_router(router) + client: Final[TestClient] = TestClient(app) + with client: + response: Final = client.get("/public/endpoints") + assert response.status_code == 200, response.text + + endpoints: Final = response.json()["endpoints"] + streamlake_endpoints: Final = { + endpoint["key"] + for endpoint in endpoints + if any(provider["slug"] == "streamlake" for provider in endpoint["providers"]) + } + assert streamlake_endpoints == {"chat_completions"} + + chat_completions: Final = next(endpoint for endpoint in endpoints if endpoint["key"] == "chat_completions") + assert chat_completions["endpoint"] == "/chat/completions" + assert "streamlake" in {provider["slug"] for provider in chat_completions["providers"]} + + def test_get_supported_endpoints_display_names_have_no_slug_suffix( reset_endpoints_cache, ): diff --git a/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/panels/AddModelPanel.integration.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/panels/AddModelPanel.integration.test.tsx index 43b9a5541db..1bd79fe9806 100644 --- a/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/panels/AddModelPanel.integration.test.tsx +++ b/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/panels/AddModelPanel.integration.test.tsx @@ -80,6 +80,13 @@ vi.mock("@/app/(dashboard)/hooks/providers/useProviderFields", () => ({ default_model_placeholder: "jev-latest", credential_fields: [{ key: "api_key", label: "API Key", field_type: "password", required: false }], }, + { + provider: "StreamLake", + provider_display_name: "StreamLake", + litellm_provider: "streamlake", + default_model_placeholder: "streamlake/", + credential_fields: [{ key: "api_key", label: "API Key", field_type: "password", required: false }], + }, ], isLoading: false, error: null, @@ -278,6 +285,28 @@ describe("AddModelPanel submit payload contract", () => { }); }); + it("creates a StreamLake model from a public model selection and API key", async () => { + mockUseModelCostMap.mockReturnValue({ data: { "streamlake/GLM-5.3": { litellm_provider: "streamlake" } } }); + const { user, submit } = await setup(); + + await user.click(screen.getByRole("combobox", { name: /provider/i })); + await user.click(await screen.findByText("StreamLake")); + await user.click(screen.getByRole("combobox", { name: "Select models" })); + await user.click(await screen.findByText("streamlake/GLM-5.3")); + await user.type(screen.getByLabelText("API Key"), "sk-streamlake-test"); + await submit(); + + expect(lastCreatedModel()).toStrictEqual({ + model_name: "streamlake/GLM-5.3", + litellm_params: { + model: "streamlake/GLM-5.3", + custom_llm_provider: "streamlake", + api_key: "sk-streamlake-test", + }, + model_info: { ...baseModelInfo }, + }); + }); + it("registers four more keys as undefined once Advanced Settings opens", async () => { const { openAdvanced, fillRequired, submit } = await setup(); await fillRequired(); diff --git a/ui/litellm-dashboard/src/components/provider_info_helpers.test.tsx b/ui/litellm-dashboard/src/components/provider_info_helpers.test.tsx index 0ebd2cdff17..55a24a1a785 100644 --- a/ui/litellm-dashboard/src/components/provider_info_helpers.test.tsx +++ b/ui/litellm-dashboard/src/components/provider_info_helpers.test.tsx @@ -222,6 +222,7 @@ describe("provider_info_helpers", () => { Providers.PG_VECTOR, Providers.PREDIBASE, Providers.Sail, + Providers.StreamLake, Providers.WANDB, Providers.ZAI, ]; @@ -457,6 +458,19 @@ describe("provider_info_helpers", () => { expect(result).toEqual(["gpt-3.5-turbo", "gpt-4"]); }); + it("should return StreamLake models and exclude models from other providers", () => { + const modelMap = { + "streamlake/GLM-5.3": { litellm_provider: "streamlake" }, + "streamlake/DeepSeek-V3": { litellm_provider: "streamlake" }, + "gpt-4o": { litellm_provider: "openai" }, + }; + const result = getProviderModels(Providers.StreamLake, modelMap); + + expect(provider_map.StreamLake).toBe("streamlake"); + expect(result).toEqual(["streamlake/GLM-5.3", "streamlake/DeepSeek-V3"]); + expect(result).not.toContain("gpt-4o"); + }); + it("should return models whose litellm_provider is a prefix-anchored variant of the provider", () => { const modelMap = { "anthropic-text-model": { litellm_provider: "anthropic_text" }, diff --git a/ui/litellm-dashboard/src/components/provider_info_helpers.tsx b/ui/litellm-dashboard/src/components/provider_info_helpers.tsx index 5a163bce3b6..06d2f20e6e7 100644 --- a/ui/litellm-dashboard/src/components/provider_info_helpers.tsx +++ b/ui/litellm-dashboard/src/components/provider_info_helpers.tsx @@ -175,6 +175,7 @@ export enum Providers { Snowflake = "Snowflake", Soniox = "Soniox", StrandsDecider = "Strands Decider", + StreamLake = "StreamLake", TEXT_COMPLETION_CODESTRAL = "Text-Completion-Codestral", Tencent = "Tencent", TogetherAI = "TogetherAI", @@ -302,6 +303,7 @@ export const provider_map: Record = { Snowflake: "snowflake", Soniox: "soniox", StrandsDecider: "strands_decider", + StreamLake: "streamlake", TEXT_COMPLETION_CODESTRAL: "text-completion-codestral", Tencent: "tencent", TogetherAI: "together_ai", @@ -488,6 +490,7 @@ const providerPlaceholderMap: Partial> = { [Providers.Tencent]: "tencent/deepseek-v4-pro", [Providers.TypeSafe]: "typesafe/jev-latest", [Providers.Nace]: "nace/drex-latest", + [Providers.StreamLake]: "streamlake/", [Providers.Vertex_AI]: "gemini-pro", [Providers.VolcEngine]: "volcengine/", [Providers.Voyage]: "voyage/",