diff --git a/litellm/constants.py b/litellm/constants.py index 97631b9997a..3f44a97d73a 100644 --- a/litellm/constants.py +++ b/litellm/constants.py @@ -1095,6 +1095,7 @@ openai_compatible_endpoints: Final[list[str]] = [ "https://gigachat.devices.sberbank.ru/api/v1", "https://api.openinfer.ai/v1", "https://vanchin.streamlake.ai/api/gateway/v1/endpoints", + "https://api.mallardai.co.uk/v1", ] @@ -1179,6 +1180,7 @@ openai_compatible_providers: Final[list[str]] = [ "sail", "reka", "streamlake", + "mallard", ] 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 a71a9c3bb9b..8fad24e31ac 100644 --- a/litellm/llms/openai_like/providers.json +++ b/litellm/llms/openai_like/providers.json @@ -302,5 +302,10 @@ "preserve_cache_control": true }, "supported_endpoints": ["/v1/chat/completions"] + }, + "mallard": { + "base_url": "https://api.mallardai.co.uk/v1", + "api_key_env": "MALLARD_API_KEY", + "api_base_env": "MALLARD_API_BASE" } } diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index d7c829f6e2d..9358e132d0a 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -77245,6 +77245,23 @@ "supports_reasoning": true, "source": "https://api.openinfer.ai/v1/models" }, + "mallard/qwen/qwen3.6-35b-a3b": { + "max_tokens": 235929, + "max_input_tokens": 262144, + "max_output_tokens": 235929, + "input_cost_per_token": 1.06944e-07, + "cache_read_input_token_cost": 8.0208e-08, + "output_cost_per_token": 1.0026e-06, + "litellm_provider": "mallard", + "mode": "chat", + "supports_function_calling": true, + "supports_tool_choice": true, + "supports_vision": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_prompt_caching": true, + "source": "https://mallardai.co.uk/pricing/" + }, "openinfer/@oi/Qwen3.5-27B": { "max_input_tokens": 32768, "max_output_tokens": 32768, diff --git a/litellm/provider_endpoints_support_backup.json b/litellm/provider_endpoints_support_backup.json index 40ea9d15ff4..210e90af4f5 100644 --- a/litellm/provider_endpoints_support_backup.json +++ b/litellm/provider_endpoints_support_backup.json @@ -5276,6 +5276,24 @@ "generateContent": false } }, + "mallard": { + "display_name": "Mallard AI (`mallard`)", + "url": "https://docs.litellm.ai/docs/providers/mallard", + "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, + "interactions": false + } + }, "openinfer": { "display_name": "OpenInfer (`openinfer`)", "url": "https://docs.litellm.ai/docs/providers/openinfer", diff --git a/litellm/proxy/public_endpoints/provider_create_fields.json b/litellm/proxy/public_endpoints/provider_create_fields.json index aa7554c4a5a..9ed0e7abeff 100644 --- a/litellm/proxy/public_endpoints/provider_create_fields.json +++ b/litellm/proxy/public_endpoints/provider_create_fields.json @@ -3539,6 +3539,34 @@ ], "default_model_placeholder": "gpt-3.5-turbo" }, + { + "provider": "MALLARD", + "provider_display_name": "Mallard AI", + "litellm_provider": "mallard", + "credential_fields": [ + { + "key": "api_base", + "label": "API Base", + "placeholder": "https://api.mallardai.co.uk/v1", + "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": "mallard/qwen/qwen3.6-35b-a3b" + }, { "provider": "REKA", "provider_display_name": "Reka", diff --git a/litellm/types/utils.py b/litellm/types/utils.py index 57f4d971eb3..889780c5a37 100644 --- a/litellm/types/utils.py +++ b/litellm/types/utils.py @@ -4756,6 +4756,7 @@ class LlmProviders(str, Enum): SAIL = "sail" REKA = "reka" STREAMLAKE = "streamlake" + MALLARD = "mallard" 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 d7c829f6e2d..9358e132d0a 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -77245,6 +77245,23 @@ "supports_reasoning": true, "source": "https://api.openinfer.ai/v1/models" }, + "mallard/qwen/qwen3.6-35b-a3b": { + "max_tokens": 235929, + "max_input_tokens": 262144, + "max_output_tokens": 235929, + "input_cost_per_token": 1.06944e-07, + "cache_read_input_token_cost": 8.0208e-08, + "output_cost_per_token": 1.0026e-06, + "litellm_provider": "mallard", + "mode": "chat", + "supports_function_calling": true, + "supports_tool_choice": true, + "supports_vision": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_prompt_caching": true, + "source": "https://mallardai.co.uk/pricing/" + }, "openinfer/@oi/Qwen3.5-27B": { "max_input_tokens": 32768, "max_output_tokens": 32768, diff --git a/provider_endpoints_support.json b/provider_endpoints_support.json index 40ea9d15ff4..210e90af4f5 100644 --- a/provider_endpoints_support.json +++ b/provider_endpoints_support.json @@ -5276,6 +5276,24 @@ "generateContent": false } }, + "mallard": { + "display_name": "Mallard AI (`mallard`)", + "url": "https://docs.litellm.ai/docs/providers/mallard", + "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, + "interactions": false + } + }, "openinfer": { "display_name": "OpenInfer (`openinfer`)", "url": "https://docs.litellm.ai/docs/providers/openinfer", diff --git a/tests/unit/llms/openai_like/test_mallard_provider.py b/tests/unit/llms/openai_like/test_mallard_provider.py new file mode 100644 index 00000000000..6db7351943d --- /dev/null +++ b/tests/unit/llms/openai_like/test_mallard_provider.py @@ -0,0 +1,211 @@ +import json +from pathlib import Path +from typing import Final + +import pytest +import respx + +import litellm +from litellm.caching.llm_caching_handler import LLMClientCache + +_CHAT_COMPLETION: Final = { + "id": "chatcmpl_mallard", + "object": "chat.completion", + "created": 1_790_000_000, + "model": "qwen/qwen3.6-35b-a3b", + "choices": [ + { + "index": 0, + "message": {"role": "assistant", "content": "Hello from Mallard AI"}, + "finish_reason": "stop", + } + ], + "usage": {"prompt_tokens": 4, "completion_tokens": 3, "total_tokens": 7}, +} + + +def test_mallard_is_a_registered_provider(): + assert litellm.LlmProviders.MALLARD.value == "mallard" + assert "mallard" in litellm.provider_list + assert "mallard" in litellm.constants.openai_compatible_providers + + +def test_mallard_provider_resolution(monkeypatch: pytest.MonkeyPatch): + from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider + + monkeypatch.setenv("MALLARD_API_KEY", "mallard-test-key") + + model, provider, api_key, api_base = get_llm_provider( + model="mallard/qwen/qwen3.6-35b-a3b", + custom_llm_provider=None, + api_base=None, + api_key=None, + ) + + assert model == "qwen/qwen3.6-35b-a3b" + assert provider == "mallard" + assert api_key == "mallard-test-key" + assert api_base == "https://api.mallardai.co.uk/v1" + + +def test_mallard_provider_keeps_explicit_credentials(monkeypatch: pytest.MonkeyPatch): + from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider + + monkeypatch.setenv("MALLARD_API_KEY", "mallard-env-key") + monkeypatch.setenv("MALLARD_API_BASE", "https://mallard.env.example/v1") + + _, provider, api_key, api_base = get_llm_provider( + model="mallard/qwen/qwen3.6-35b-a3b", + custom_llm_provider=None, + api_base="https://mallard.internal.example/v1", + api_key="mallard-explicit-key", + ) + + assert provider == "mallard" + assert api_key == "mallard-explicit-key" + assert api_base == "https://mallard.internal.example/v1" + + +def test_mallard_api_base_env_overrides_default(monkeypatch: pytest.MonkeyPatch): + from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider + + monkeypatch.setenv("MALLARD_API_KEY", "mallard-env-key") + monkeypatch.setenv("MALLARD_API_BASE", "https://mallard.env.example/v1") + + _, provider, _, api_base = get_llm_provider( + model="mallard/qwen/qwen3.6-35b-a3b", + custom_llm_provider=None, + api_base=None, + api_key=None, + ) + + assert provider == "mallard" + assert api_base == "https://mallard.env.example/v1" + + +def test_mallard_api_base_autodetects_provider(monkeypatch: pytest.MonkeyPatch): + from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider + + monkeypatch.setenv("MALLARD_API_KEY", "mallard-env-key") + + model, provider, api_key, api_base = get_llm_provider( + model="qwen/qwen3.6-35b-a3b", + custom_llm_provider=None, + api_base="https://api.mallardai.co.uk/v1", + api_key=None, + ) + + assert model == "qwen/qwen3.6-35b-a3b" + assert provider == "mallard" + assert api_key == "mallard-env-key" + assert api_base == "https://api.mallardai.co.uk/v1" + + +def test_mallard_is_available_in_add_model_form(): + fields_path = Path(litellm.__file__).parent / "proxy" / "public_endpoints" / "provider_create_fields.json" + providers = json.loads(fields_path.read_text()) + mallard = next(provider for provider in providers if provider["litellm_provider"] == "mallard") + + assert mallard["provider"] == "MALLARD" + assert mallard["provider_display_name"] == "Mallard AI" + assert mallard["default_model_placeholder"] == "mallard/qwen/qwen3.6-35b-a3b" + assert {field["key"]: field["required"] for field in mallard["credential_fields"]} == { + "api_base": False, + "api_key": True, + } + + +def test_mallard_supported_endpoints(): + expected: Final = { + "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, + "interactions": False, + } + backup_path = Path(litellm.__file__).parent / "provider_endpoints_support_backup.json" + root_path = Path(litellm.__file__).parent.parent / "provider_endpoints_support.json" + + assert json.loads(backup_path.read_text())["providers"]["mallard"]["endpoints"] == expected + assert json.loads(root_path.read_text())["providers"]["mallard"]["endpoints"] == expected + + +def test_mallard_chat_completion_request(): + with respx.mock() as upstream: + route: Final = upstream.post("https://api.mallardai.co.uk/v1/chat/completions").respond(200, json=_CHAT_COMPLETION) + response: Final = litellm.completion( + model="mallard/qwen/qwen3.6-35b-a3b", + messages=[{"role": "user", "content": "Say hello"}], + api_key="mallard-test-key", + ) + + request: Final = route.calls.last.request + body: Final = json.loads(request.content) + assert route.call_count == 1 + assert str(request.url) == "https://api.mallardai.co.uk/v1/chat/completions" + assert request.headers["authorization"] == "Bearer mallard-test-key" + assert body["model"] == "qwen/qwen3.6-35b-a3b" + assert body["messages"] == [{"role": "user", "content": "Say hello"}] + assert response.choices[0].message.content == "Hello from Mallard AI" + + +def test_mallard_responses_request_is_bridged_to_chat_completions(): + with respx.mock() as upstream: + route: Final = upstream.post("https://api.mallardai.co.uk/v1/chat/completions").respond(200, json=_CHAT_COMPLETION) + response: Final = litellm.responses( + model="mallard/qwen/qwen3.6-35b-a3b", + input="Say hello", + api_key="mallard-test-key", + ) + + request: Final = route.calls.last.request + body: Final = json.loads(request.content) + assert route.call_count == 1 + assert request.headers["authorization"] == "Bearer mallard-test-key" + assert body["model"] == "qwen/qwen3.6-35b-a3b" + assert body["messages"] == [{"role": "user", "content": "Say hello"}] + assert response.output[0].content[0].text == "Hello from Mallard AI" + + +@pytest.mark.asyncio +async def test_mallard_anthropic_messages_request_is_bridged_to_chat_completions(monkeypatch: pytest.MonkeyPatch): + monkeypatch.setattr(litellm, "disable_aiohttp_transport", True) + monkeypatch.setattr(litellm, "in_memory_llm_clients_cache", LLMClientCache()) + with respx.mock() as upstream: + route: Final = upstream.post("https://api.mallardai.co.uk/v1/chat/completions").respond(200, json=_CHAT_COMPLETION) + response: Final = await litellm.anthropic.messages.acreate( + model="mallard/qwen/qwen3.6-35b-a3b", + messages=[{"role": "user", "content": "Say hello"}], + max_tokens=32, + api_key="mallard-test-key", + ) + + request: Final = route.calls.last.request + body: Final = json.loads(request.content) + assert route.call_count == 1 + assert request.headers["authorization"] == "Bearer mallard-test-key" + assert body["model"] == "qwen/qwen3.6-35b-a3b" + assert body["messages"] == [{"role": "user", "content": "Say hello"}] + assert body["max_tokens"] == 32 + assert response["content"][0]["text"] == "Hello from Mallard AI" + + +def test_mallard_model_prices_and_limits(): + info: Final = litellm.get_model_info("mallard/qwen/qwen3.6-35b-a3b") + + assert info["litellm_provider"] == "mallard" + assert info["max_input_tokens"] == 262_144 + assert info["max_output_tokens"] == 235_929 + assert info["input_cost_per_token"] == pytest.approx(1.06944e-07) + assert info["cache_read_input_token_cost"] == pytest.approx(8.0208e-08) + assert info["output_cost_per_token"] == pytest.approx(1.0026e-06) + assert info["supports_function_calling"] is True + assert info["supports_vision"] is True + assert info["supports_reasoning"] is True