feat: add Reka as an OpenAI-compatible provider (#44278)

* Add Reka as an OpenAI-compatible provider

* Add Reka supported endpoints

* fix: remove stray fragment after reka entry in provider_endpoints_support.json

Co-authored-by: Cursor <cursoragent@cursor.com>

* test(reka): register provider identity and cover routing, credentials, and bridged endpoints

Co-authored-by: Cursor <cursoragent@cursor.com>

---------

Co-authored-by: Cursor <cursoragent@cursor.com>

litellm/constants.py

@@ -966,6 +966,7 @@ openai_compatible_endpoints: Final[list] = [
     "https://api.cortecs.ai/v1",
     "https://api.scx.ai/v1",
     "https://api.prisminference.com/v1",
+    "https://api.reka.ai/v1",
     "https://gigachat.devices.sberbank.ru/api/v1",
 ]
 
@@ -1042,6 +1043,7 @@ openai_compatible_providers: Final[list] = [
     "scx-ai",
     "prism",
     "sail",
+    "reka",
 ]
 
 OPENAI_AUDIO_TRANSCRIPTION_PROVIDERS: Final = frozenset({"openai"} | frozenset(openai_compatible_providers))

litellm/llms/openai_like/providers.json

@@ -218,5 +218,10 @@
     "api_key_env": "SAIL_API_KEY",
     "api_base_env": "SAIL_API_BASE",
     "supported_endpoints": ["/v1/chat/completions", "/v1/responses", "/v1/messages"]
+  },
+  "reka": {
+    "base_url": "https://api.reka.ai/v1",
+    "api_key_env": "REKA_API_KEY",
+    "api_base_env": "REKA_API_BASE"
   }
 }

litellm/provider_endpoints_support_backup.json

@@ -2100,6 +2100,24 @@
         "interactions": true
       }
     },
+    "reka": {
+      "display_name": "Reka (`reka`)",
+      "url": "https://docs.litellm.ai/docs/providers/reka",
+      "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
+      }
+    },
     "scaleway": {
       "display_name": "Scaleway (`scaleway`)",
       "url": "https://docs.litellm.ai/docs/providers/scaleway",

litellm/proxy/public_endpoints/provider_create_fields.json

@@ -3023,6 +3023,34 @@
     ],
     "default_model_placeholder": "gpt-3.5-turbo"
   },
+  {
+    "provider": "REKA",
+    "provider_display_name": "Reka",
+    "litellm_provider": "reka",
+    "credential_fields": [
+      {
+        "key": "api_base",
+        "label": "API Base",
+        "placeholder": "https://api.reka.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": "reka/reka-flash"
+  },
   {
     "provider": "Sail",
     "provider_display_name": "Sail",

litellm/types/utils.py

@@ -4180,6 +4180,7 @@ class LlmProviders(str, Enum):
     DARKBLOOM = "darkbloom"
     META = "meta"
     SAIL = "sail"
+    REKA = "reka"
     LITELLM_AGENT = "litellm_agent"
     CURSOR = "cursor"
     BEDROCK_MANTLE = "bedrock_mantle"

provider_endpoints_support.json

@@ -3119,6 +3119,24 @@
         "rerank": false
       }
     },
+    "reka": {
+      "display_name": "Reka (`reka`)",
+      "url": "https://docs.litellm.ai/docs/providers/reka",
+      "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
+      }
+    },
     "charity_engine": {
       "display_name": "Charity Engine (`charity_engine`)",
       "url": "https://docs.litellm.ai/docs/providers/charity_engine",

tests/unit/llms/openai_like/test_reka_provider.py

@@ -0,0 +1,197 @@
+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_reka",
+    "object": "chat.completion",
+    "created": 1_790_000_000,
+    "model": "reka-flash",
+    "choices": [
+        {
+            "index": 0,
+            "message": {"role": "assistant", "content": "Hello from Reka"},
+            "finish_reason": "stop",
+        }
+    ],
+    "usage": {"prompt_tokens": 4, "completion_tokens": 3, "total_tokens": 7},
+}
+
+
+def test_reka_is_a_registered_provider():
+    assert litellm.LlmProviders.REKA.value == "reka"
+    assert "reka" in litellm.provider_list
+    assert "reka" in litellm.constants.openai_compatible_providers
+
+
+def test_reka_provider_resolution(monkeypatch: pytest.MonkeyPatch):
+    from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
+
+    monkeypatch.setenv("REKA_API_KEY", "reka-test-key")
+
+    model, provider, api_key, api_base = get_llm_provider(
+        model="reka/reka-flash",
+        custom_llm_provider=None,
+        api_base=None,
+        api_key=None,
+    )
+
+    assert model == "reka-flash"
+    assert provider == "reka"
+    assert api_key == "reka-test-key"
+    assert api_base == "https://api.reka.ai/v1"
+
+
+def test_reka_provider_keeps_explicit_credentials(monkeypatch: pytest.MonkeyPatch):
+    from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
+
+    monkeypatch.setenv("REKA_API_KEY", "reka-env-key")
+    monkeypatch.setenv("REKA_API_BASE", "https://reka.env.example/v1")
+
+    _, provider, api_key, api_base = get_llm_provider(
+        model="reka/reka-flash",
+        custom_llm_provider=None,
+        api_base="https://reka.internal.example/v1",
+        api_key="reka-explicit-key",
+    )
+
+    assert provider == "reka"
+    assert api_key == "reka-explicit-key"
+    assert api_base == "https://reka.internal.example/v1"
+
+
+def test_reka_api_base_env_overrides_default(monkeypatch: pytest.MonkeyPatch):
+    from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
+
+    monkeypatch.setenv("REKA_API_KEY", "reka-env-key")
+    monkeypatch.setenv("REKA_API_BASE", "https://reka.env.example/v1")
+
+    _, provider, _, api_base = get_llm_provider(
+        model="reka/reka-flash",
+        custom_llm_provider=None,
+        api_base=None,
+        api_key=None,
+    )
+
+    assert provider == "reka"
+    assert api_base == "https://reka.env.example/v1"
+
+
+def test_reka_api_base_autodetects_provider(monkeypatch: pytest.MonkeyPatch):
+    from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
+
+    monkeypatch.setenv("REKA_API_KEY", "reka-env-key")
+
+    model, provider, api_key, api_base = get_llm_provider(
+        model="reka-flash",
+        custom_llm_provider=None,
+        api_base="https://api.reka.ai/v1",
+        api_key=None,
+    )
+
+    assert model == "reka-flash"
+    assert provider == "reka"
+    assert api_key == "reka-env-key"
+    assert api_base == "https://api.reka.ai/v1"
+
+
+def test_reka_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())
+    reka = next(provider for provider in providers if provider["litellm_provider"] == "reka")
+
+    assert reka["provider"] == "REKA"
+    assert reka["provider_display_name"] == "Reka"
+    assert reka["default_model_placeholder"] == "reka/reka-flash"
+    assert {field["key"]: field["required"] for field in reka["credential_fields"]} == {
+        "api_base": False,
+        "api_key": True,
+    }
+
+
+def test_reka_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"]["reka"]["endpoints"] == expected
+    assert json.loads(root_path.read_text())["providers"]["reka"]["endpoints"] == expected
+
+
+def test_reka_chat_completion_request():
+    with respx.mock() as upstream:
+        route: Final = upstream.post("https://api.reka.ai/v1/chat/completions").respond(200, json=_CHAT_COMPLETION)
+        response: Final = litellm.completion(
+            model="reka/reka-flash",
+            messages=[{"role": "user", "content": "Say hello"}],
+            api_key="reka-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.reka.ai/v1/chat/completions"
+    assert request.headers["authorization"] == "Bearer reka-test-key"
+    assert body["model"] == "reka-flash"
+    assert body["messages"] == [{"role": "user", "content": "Say hello"}]
+    assert response.choices[0].message.content == "Hello from Reka"
+
+
+def test_reka_responses_request_is_bridged_to_chat_completions():
+    with respx.mock() as upstream:
+        route: Final = upstream.post("https://api.reka.ai/v1/chat/completions").respond(200, json=_CHAT_COMPLETION)
+        response: Final = litellm.responses(
+            model="reka/reka-flash",
+            input="Say hello",
+            api_key="reka-test-key",
+        )
+
+    request: Final = route.calls.last.request
+    body: Final = json.loads(request.content)
+    assert route.call_count == 1
+    assert request.headers["authorization"] == "Bearer reka-test-key"
+    assert body["model"] == "reka-flash"
+    assert body["messages"] == [{"role": "user", "content": "Say hello"}]
+    assert response.output[0].content[0].text == "Hello from Reka"
+
+
+@pytest.mark.asyncio
+async def test_reka_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.reka.ai/v1/chat/completions").respond(200, json=_CHAT_COMPLETION)
+        response: Final = await litellm.anthropic.messages.acreate(
+            model="reka/reka-flash",
+            messages=[{"role": "user", "content": "Say hello"}],
+            max_tokens=32,
+            api_key="reka-test-key",
+        )
+
+    request: Final = route.calls.last.request
+    body: Final = json.loads(request.content)
+    assert route.call_count == 1
+    assert request.headers["authorization"] == "Bearer reka-test-key"
+    assert body["model"] == "reka-flash"
+    assert body["messages"] == [{"role": "user", "content": "Say hello"}]
+    assert body["max_tokens"] == 32
+    assert response["content"][0]["text"] == "Hello from Reka"