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feat(providers): add Umans AI as an OpenAI-compatible provider

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wassel alazhar 2026-10-03 19:45:14 +02:00
parent 01b4ffe16b
commit df7c7b05fa
7 changed files with 260 additions and 0 deletions
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2
litellm/constants.py
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@ -965,6 +965,7 @@ openai_compatible_endpoints: Final[list] = [
"https://api.cortecs.ai/v1",
"https://api.scx.ai/v1",
"https://api.prisminference.com/v1",
"https://api.code.umans.ai/v1",
"https://gigachat.devices.sberbank.ru/api/v1",
]
@ -1041,6 +1042,7 @@ openai_compatible_providers: Final[list] = [
"scx-ai",
"prism",
"sail",
"umans-ai",
]
OPENAI_AUDIO_TRANSCRIPTION_PROVIDERS: Final = frozenset({"openai"} | frozenset(openai_compatible_providers))

6
litellm/llms/openai_like/providers.json
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@ -218,5 +218,11 @@
"api_key_env": "SAIL_API_KEY",
"api_base_env": "SAIL_API_BASE",
"supported_endpoints": ["/v1/chat/completions", "/v1/responses", "/v1/messages"]
},
"umans-ai": {
"base_url": "https://api.code.umans.ai/v1",
"api_key_env": "UMANS_AI_API_KEY",
"api_base_env": "UMANS_AI_API_BASE",
"supported_endpoints": ["/v1/chat/completions", "/v1/responses", "/v1/messages"]
}
}

18
litellm/provider_endpoints_support_backup.json
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@ -2262,6 +2262,24 @@
"interactions": true
}
},
"umans-ai": {
"display_name": "Umans AI (`umans-ai`)",
"url": "https://docs.litellm.ai/docs/providers/umans_ai",
"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
}
},
"v0": {
"display_name": "V0 (`v0`)",
"url": "https://docs.litellm.ai/docs/providers/v0",

28
litellm/proxy/public_endpoints/provider_create_fields.json
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@ -3291,6 +3291,34 @@
],
"default_model_placeholder": "gpt-3.5-turbo"
},
{
"provider": "UMANS_AI",
"provider_display_name": "Umans AI",
"litellm_provider": "umans-ai",
"credential_fields": [
{
"key": "api_base",
"label": "API Base",
"placeholder": "https://api.code.umans.ai/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": "umans-ai/umans-deepseek-v4-flash-0731"
},
{
"provider": "V0",
"provider_display_name": "V0",

1
litellm/types/utils.py
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@ -4170,6 +4170,7 @@ class LlmProviders(str, Enum):
DARKBLOOM = "darkbloom"
META = "meta"
SAIL = "sail"
UMANS_AI = "umans-ai"
LITELLM_AGENT = "litellm_agent"
CURSOR = "cursor"
BEDROCK_MANTLE = "bedrock_mantle"

18
provider_endpoints_support.json
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@ -2637,6 +2637,24 @@
"interactions": true
}
},
"umans-ai": {
"display_name": "Umans AI (`umans-ai`)",
"url": "https://docs.litellm.ai/docs/providers/umans_ai",
"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
}
},
"v0": {
"display_name": "V0 (`v0`)",
"url": "https://docs.litellm.ai/docs/providers/v0",

187
tests/unit/llms/openai_like/test_umans_ai_provider.py Normal file
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@ -0,0 +1,187 @@
import json
from pathlib import Path
from typing import Final
import pytest
import respx
import litellm
from litellm.caching.llm_caching_handler import LLMClientCache
def test_umans_ai_provider_resolution(monkeypatch: pytest.MonkeyPatch):
from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
monkeypatch.setenv("UMANS_AI_API_KEY", "umans-test-key")
model, provider, api_key, api_base = get_llm_provider(
model="umans-ai/umans-deepseek-v4-flash-0731",
custom_llm_provider=None,
api_base=None,
api_key=None,
)
assert model == "umans-deepseek-v4-flash-0731"
assert provider == "umans-ai"
assert api_key == "umans-test-key"
assert api_base == "https://api.code.umans.ai/v1"
def test_umans_ai_provider_keeps_explicit_credentials(monkeypatch: pytest.MonkeyPatch):
from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
monkeypatch.setenv("UMANS_AI_API_KEY", "umans-env-key")
_, provider, api_key, api_base = get_llm_provider(
model="umans-ai/umans-deepseek-v4-flash-0731",
custom_llm_provider=None,
api_base="https://umans.internal.example/v1",
api_key="umans-explicit-key",
)
assert provider == "umans-ai"
assert api_key == "umans-explicit-key"
assert api_base == "https://umans.internal.example/v1"
def test_umans_ai_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())
umans = next(provider for provider in providers if provider["litellm_provider"] == "umans-ai")
assert umans["provider"] == "UMANS_AI"
assert umans["provider_display_name"] == "Umans AI"
assert umans["default_model_placeholder"] == "umans-ai/umans-deepseek-v4-flash-0731"
assert {field["key"]: field["required"] for field in umans["credential_fields"]} == {
"api_base": False,
"api_key": True,
}
def test_umans_ai_supported_endpoints():
matrix_path = Path(litellm.__file__).parent / "provider_endpoints_support_backup.json"
providers = json.loads(matrix_path.read_text())["providers"]
assert providers["umans-ai"]["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,
}
def test_umans_ai_chat_completion_request():
with respx.mock() as upstream:
route: Final = upstream.post("https://api.code.umans.ai/v1/chat/completions").respond(
200,
json={
"id": "chatcmpl_umans",
"object": "chat.completion",
"created": 1_789_550_000,
"model": "umans-deepseek-v4-flash-0731",
"choices": [
{
"index": 0,
"message": {"role": "assistant", "content": "Hello from Umans AI"},
"finish_reason": "stop",
}
],
"usage": {"prompt_tokens": 4, "completion_tokens": 3, "total_tokens": 7},
},
)
response: Final = litellm.completion(
model="umans-ai/umans-deepseek-v4-flash-0731",
messages=[{"role": "user", "content": "Say hello"}],
api_key="umans-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.code.umans.ai/v1/chat/completions"
assert request.headers["authorization"] == "Bearer umans-test-key"
assert body["model"] == "umans-deepseek-v4-flash-0731"
assert body["messages"] == [{"role": "user", "content": "Say hello"}]
assert response.choices[0].message.content == "Hello from Umans AI"
def test_umans_ai_responses_request():
with respx.mock() as upstream:
route: Final = upstream.post("https://api.code.umans.ai/v1/responses").respond(
200,
json={
"id": "resp_umans",
"object": "response",
"created_at": 1_789_550_000,
"model": "umans-deepseek-v4-flash-0731",
"status": "completed",
"output": [
{
"id": "msg_umans",
"type": "message",
"role": "assistant",
"status": "completed",
"content": [{"type": "output_text", "text": "Hello from Umans AI", "annotations": []}],
}
],
"usage": {"input_tokens": 4, "output_tokens": 3, "total_tokens": 7},
},
)
response: Final = litellm.responses(
model="umans-ai/umans-deepseek-v4-flash-0731",
input="Say hello",
api_key="umans-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.code.umans.ai/v1/responses"
assert request.headers["authorization"] == "Bearer umans-test-key"
assert body["model"] == "umans-deepseek-v4-flash-0731"
assert body["input"] == "Say hello"
assert response.output[0].content[0].text == "Hello from Umans AI"
@pytest.mark.asyncio
async def test_umans_ai_anthropic_messages_request(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.code.umans.ai/v1/messages").respond(
200,
json={
"id": "msg_umans",
"type": "message",
"role": "assistant",
"model": "umans-deepseek-v4-flash-0731",
"content": [{"type": "text", "text": "Hello from Umans AI"}],
"stop_reason": "end_turn",
"stop_sequence": None,
"usage": {"input_tokens": 4, "output_tokens": 3},
},
)
response: Final = 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",
)
request: Final = route.calls.last.request
body: Final = json.loads(request.content)
assert route.call_count == 1
assert str(request.url) == "https://api.code.umans.ai/v1/messages"
assert request.headers["authorization"] == "Bearer umans-test-key"
assert request.headers["anthropic-version"] == "2023-06-01"
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"