diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index a50edb0c9e3..d695aaa5594 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -80003,5 +80003,148 @@ "supports_tool_choice": true, "supports_video_input": false, "supports_vision": false + }, + "umans-ai/umans-deepseek-v4-flash-0731": { + "cache_read_input_token_cost": 2.8e-08, + "input_cost_per_token": 1.4e-07, + "litellm_provider": "umans-ai", + "max_input_tokens": 1048576, + "max_output_tokens": 393215, + "max_tokens": 393215, + "mode": "chat", + "output_cost_per_token": 2.8e-07, + "source": "https://app.umans.ai/pricing", + "supported_modalities": [ + "text" + ], + "supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": false + }, + "umans-ai/umans-deepseek-v4.1-flash": { + "cache_read_input_token_cost": 2.8e-08, + "input_cost_per_token": 1.5e-07, + "litellm_provider": "umans-ai", + "max_input_tokens": 1048576, + "max_output_tokens": 393215, + "max_tokens": 393215, + "mode": "chat", + "output_cost_per_token": 6e-07, + "source": "https://app.umans.ai/pricing", + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "umans-ai/umans-glm-5.3-flash": { + "cache_read_input_token_cost": 3e-08, + "input_cost_per_token": 1.5e-07, + "litellm_provider": "umans-ai", + "max_input_tokens": 1048576, + "max_output_tokens": 131071, + "max_tokens": 131071, + "mode": "chat", + "output_cost_per_token": 5e-07, + "source": "https://app.umans.ai/pricing", + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "umans-ai/umans-kimi-k3": { + "cache_read_input_token_cost": 3e-07, + "input_cost_per_token": 3e-06, + "litellm_provider": "umans-ai", + "max_input_tokens": 1048576, + "max_output_tokens": 131072, + "max_tokens": 131072, + "mode": "chat", + "output_cost_per_token": 1.5e-05, + "source": "https://app.umans.ai/pricing", + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "umans-ai/umans-flash": { + "cache_read_input_token_cost": 5e-08, + "input_cost_per_token": 1.5e-07, + "litellm_provider": "umans-ai", + "max_input_tokens": 262144, + "max_output_tokens": 32768, + "max_tokens": 32768, + "mode": "chat", + "output_cost_per_token": 1e-06, + "source": "https://app.umans.ai/pricing", + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "umans-ai/umans-coder": { + "cache_read_input_token_cost": 3e-08, + "input_cost_per_token": 1.5e-07, + "litellm_provider": "umans-ai", + "max_input_tokens": 1048576, + "max_output_tokens": 131071, + "max_tokens": 131071, + "mode": "chat", + "output_cost_per_token": 5e-07, + "source": "https://app.umans.ai/pricing", + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true } } diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index a50edb0c9e3..d695aaa5594 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -80003,5 +80003,148 @@ "supports_tool_choice": true, "supports_video_input": false, "supports_vision": false + }, + "umans-ai/umans-deepseek-v4-flash-0731": { + "cache_read_input_token_cost": 2.8e-08, + "input_cost_per_token": 1.4e-07, + "litellm_provider": "umans-ai", + "max_input_tokens": 1048576, + "max_output_tokens": 393215, + "max_tokens": 393215, + "mode": "chat", + "output_cost_per_token": 2.8e-07, + "source": "https://app.umans.ai/pricing", + "supported_modalities": [ + "text" + ], + "supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": false + }, + "umans-ai/umans-deepseek-v4.1-flash": { + "cache_read_input_token_cost": 2.8e-08, + "input_cost_per_token": 1.5e-07, + "litellm_provider": "umans-ai", + "max_input_tokens": 1048576, + "max_output_tokens": 393215, + "max_tokens": 393215, + "mode": "chat", + "output_cost_per_token": 6e-07, + "source": "https://app.umans.ai/pricing", + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "umans-ai/umans-glm-5.3-flash": { + "cache_read_input_token_cost": 3e-08, + "input_cost_per_token": 1.5e-07, + "litellm_provider": "umans-ai", + "max_input_tokens": 1048576, + "max_output_tokens": 131071, + "max_tokens": 131071, + "mode": "chat", + "output_cost_per_token": 5e-07, + "source": "https://app.umans.ai/pricing", + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "umans-ai/umans-kimi-k3": { + "cache_read_input_token_cost": 3e-07, + "input_cost_per_token": 3e-06, + "litellm_provider": "umans-ai", + "max_input_tokens": 1048576, + "max_output_tokens": 131072, + "max_tokens": 131072, + "mode": "chat", + "output_cost_per_token": 1.5e-05, + "source": "https://app.umans.ai/pricing", + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "umans-ai/umans-flash": { + "cache_read_input_token_cost": 5e-08, + "input_cost_per_token": 1.5e-07, + "litellm_provider": "umans-ai", + "max_input_tokens": 262144, + "max_output_tokens": 32768, + "max_tokens": 32768, + "mode": "chat", + "output_cost_per_token": 1e-06, + "source": "https://app.umans.ai/pricing", + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "umans-ai/umans-coder": { + "cache_read_input_token_cost": 3e-08, + "input_cost_per_token": 1.5e-07, + "litellm_provider": "umans-ai", + "max_input_tokens": 1048576, + "max_output_tokens": 131071, + "max_tokens": 131071, + "mode": "chat", + "output_cost_per_token": 5e-07, + "source": "https://app.umans.ai/pricing", + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true } } diff --git a/tests/unit/llms/openai_like/test_umans_ai_provider.py b/tests/unit/llms/openai_like/test_umans_ai_provider.py index ce0387a485d..c3b0199822c 100644 --- a/tests/unit/llms/openai_like/test_umans_ai_provider.py +++ b/tests/unit/llms/openai_like/test_umans_ai_provider.py @@ -185,3 +185,195 @@ async def test_umans_ai_anthropic_messages_request(monkeypatch: pytest.MonkeyPat assert body["model"] == "umans-deepseek-v4-flash-0731" assert body["messages"] == [{"role": "user", "content": "Say hello"}] assert response["content"][0]["text"] == "Hello from Umans AI" + + +UMANS_PRICING: Final = ( + # model, then USD per token for input, output and cache read (app.umans.ai/pricing) + ("umans-ai/umans-deepseek-v4-flash-0731", 1.4e-07, 2.8e-07, 2.8e-08), + ("umans-ai/umans-deepseek-v4.1-flash", 1.5e-07, 6e-07, 2.8e-08), + ("umans-ai/umans-glm-5.3-flash", 1.5e-07, 5e-07, 3e-08), + ("umans-ai/umans-kimi-k3", 3e-06, 1.5e-05, 3e-07), + ("umans-ai/umans-flash", 1.5e-07, 1e-06, 5e-08), + ("umans-ai/umans-coder", 1.5e-07, 5e-07, 3e-08), +) + + +def _load_cost_map(filename: str = "model_prices_and_context_window.json") -> dict: + with open(Path(__file__).parents[4] / filename) as f: + return json.load(f) + + +@pytest.mark.parametrize(("model", "input_cost", "output_cost", "cache_read_cost"), UMANS_PRICING) +def test_umans_ai_models_are_priced(model: str, input_cost: float, output_cost: float, cache_read_cost: float): + entry: Final = _load_cost_map()[model] + + assert entry["litellm_provider"] == "umans-ai" + assert entry["mode"] == "chat" + assert entry["input_cost_per_token"] == input_cost + assert entry["output_cost_per_token"] == output_cost + assert entry["cache_read_input_token_cost"] == cache_read_cost + assert _load_cost_map("litellm/model_prices_and_context_window_backup.json")[model] == entry + + +def test_umans_ai_usage_is_billed(): + prompt_cost, completion_cost = litellm.cost_per_token( + model="umans-ai/umans-deepseek-v4-flash-0731", + prompt_tokens=1_000_000, + completion_tokens=1_000_000, + ) + + assert prompt_cost == pytest.approx(0.14) + assert completion_cost == pytest.approx(0.28) + + +def _sse(*events: dict) -> bytes: + return b"".join(f"data: {json.dumps(event)}\n\n".encode() for event in events) + b"data: [DONE]\n\n" + + +def _typed_sse(*events: dict) -> bytes: + return b"".join(f"event: {event['type']}\ndata: {json.dumps(event)}\n\n".encode() for event in events) + + +def test_umans_ai_chat_completion_streaming_request(): + chunk: Final = { + "id": "chatcmpl_umans", + "object": "chat.completion.chunk", + "created": 1_789_550_000, + "model": "umans-deepseek-v4-flash-0731", + } + stream_body: Final = _sse( + { + **chunk, + "choices": [{"index": 0, "delta": {"role": "assistant", "content": "Hello from "}, "finish_reason": None}], + }, + {**chunk, "choices": [{"index": 0, "delta": {"content": "Umans AI"}, "finish_reason": None}]}, + {**chunk, "choices": [{"index": 0, "delta": {}, "finish_reason": "stop"}]}, + ) + with respx.mock() as upstream: + route: Final = upstream.post("https://api.code.umans.ai/v1/chat/completions").respond( + 200, content=stream_body, headers={"content-type": "text/event-stream"} + ) + chunks: Final = list( + litellm.completion( + model="umans-ai/umans-deepseek-v4-flash-0731", + messages=[{"role": "user", "content": "Say hello"}], + api_key="umans-test-key", + stream=True, + ) + ) + + body: Final = json.loads(route.calls.last.request.content) + assert route.call_count == 1 + assert str(route.calls.last.request.url) == "https://api.code.umans.ai/v1/chat/completions" + assert body["stream"] is True + assert "".join(chunk.choices[0].delta.content or "" for chunk in chunks) == "Hello from Umans AI" + + +def test_umans_ai_responses_streaming_request(): + response: Final = { + "id": "resp_umans", + "object": "response", + "created_at": 1_789_550_000, + "model": "umans-deepseek-v4-flash-0731", + "status": "in_progress", + "output": [], + } + message: Final = { + "id": "msg_umans", + "type": "message", + "role": "assistant", + "status": "completed", + "content": [{"type": "output_text", "text": "Hello from Umans AI", "annotations": []}], + } + stream_body: Final = _typed_sse( + {"type": "response.created", "sequence_number": 0, "response": response}, + { + "type": "response.output_text.delta", + "sequence_number": 1, + "item_id": "msg_umans", + "output_index": 0, + "content_index": 0, + "delta": "Hello from Umans AI", + }, + { + "type": "response.completed", + "sequence_number": 2, + "response": { + **response, + "status": "completed", + "output": [message], + "usage": {"input_tokens": 4, "output_tokens": 3, "total_tokens": 7}, + }, + }, + ) + with respx.mock() as upstream: + route: Final = upstream.post("https://api.code.umans.ai/v1/responses").respond( + 200, content=stream_body, headers={"content-type": "text/event-stream"} + ) + events: Final = list( + litellm.responses( + model="umans-ai/umans-deepseek-v4-flash-0731", + input="Say hello", + api_key="umans-test-key", + stream=True, + ) + ) + + body: Final = json.loads(route.calls.last.request.content) + assert route.call_count == 1 + assert str(route.calls.last.request.url) == "https://api.code.umans.ai/v1/responses" + assert body["stream"] is True + assert "".join(event.delta for event in events if event.type == "response.output_text.delta") == ( + "Hello from Umans AI" + ) + assert events[-1].type == "response.completed" + + +@pytest.mark.asyncio +async def test_umans_ai_anthropic_messages_streaming_request(monkeypatch: pytest.MonkeyPatch): + monkeypatch.setattr(litellm, "disable_aiohttp_transport", True) + monkeypatch.setattr(litellm, "in_memory_llm_clients_cache", LLMClientCache()) + stream_body: Final = _typed_sse( + { + "type": "message_start", + "message": { + "id": "msg_umans", + "type": "message", + "role": "assistant", + "model": "umans-deepseek-v4-flash-0731", + "content": [], + "stop_reason": None, + "stop_sequence": None, + "usage": {"input_tokens": 4, "output_tokens": 0}, + }, + }, + {"type": "content_block_start", "index": 0, "content_block": {"type": "text", "text": ""}}, + {"type": "content_block_delta", "index": 0, "delta": {"type": "text_delta", "text": "Hello from Umans AI"}}, + {"type": "content_block_stop", "index": 0}, + { + "type": "message_delta", + "delta": {"stop_reason": "end_turn", "stop_sequence": None}, + "usage": {"output_tokens": 3}, + }, + {"type": "message_stop"}, + ) + with respx.mock() as upstream: + route: Final = upstream.post("https://api.code.umans.ai/v1/messages").respond( + 200, content=stream_body, headers={"content-type": "text/event-stream"} + ) + stream = await litellm.anthropic.messages.acreate( + model="umans-ai/umans-deepseek-v4-flash-0731", + messages=[{"role": "user", "content": "Say hello"}], + max_tokens=32, + api_key="umans-test-key", + stream=True, + ) + streamed: Final = b"".join([chunk async for chunk in stream]).decode() + + body: Final = json.loads(route.calls.last.request.content) + assert route.call_count == 1 + assert str(route.calls.last.request.url) == "https://api.code.umans.ai/v1/messages" + assert body["stream"] is True + assert "event: message_start" in streamed + assert "Hello from Umans AI" in streamed + assert "event: message_stop" in streamed