Merge 94259f9c5a into a6816f0e96

litellm/llms/openai_like/providers.json

@@ -132,6 +132,12 @@
     },
     "supported_endpoints": ["/v1/chat/completions", "/v1/responses"]
   },
+  "kenari": {
+    "base_url": "https://kenari.id/v1",
+    "api_key_env": "KENARI_API_KEY",
+    "api_base_env": "KENARI_API_BASE",
+    "supported_endpoints": ["/v1/chat/completions"]
+  },
   "tensormesh": {
     "base_url": "https://serverless.tensormesh.ai/v1",
     "api_key_env": "TENSORMESH_INFERENCE_API_KEY",

litellm/provider_endpoints_support_backup.json

@@ -1269,6 +1269,23 @@
         "rerank": false
       }
     },
+    "kenari": {
+      "display_name": "Kenari (`kenari`)",
+      "url": "https://docs.litellm.ai/docs/providers/kenari",
+      "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
+      }
+    },
     "lambda_ai": {
       "display_name": "Lambda AI (`lambda_ai`)",
       "url": "https://docs.litellm.ai/docs/providers/lambda_ai",

litellm/types/utils.py

@@ -3827,6 +3827,7 @@ class LlmProviders(str, Enum):
     POE = "poe"
     CHUTES = "chutes"
     NEOSANTARA = "neosantara"
+    KENARI = "kenari"
     PARASAIL = "parasail"
     XIAOMI_MIMO = "xiaomi_mimo"
     TENSORMESH = "tensormesh"

provider_endpoints_support.json

@@ -1384,6 +1384,23 @@
         "rerank": false
       }
     },
+    "kenari": {
+      "display_name": "Kenari (`kenari`)",
+      "url": "https://docs.litellm.ai/docs/providers/kenari",
+      "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
+      }
+    },
     "lambda_ai": {
       "display_name": "Lambda AI (`lambda_ai`)",
       "url": "https://docs.litellm.ai/docs/providers/lambda_ai",

tests/test_litellm/llms/kenari/test_kenari.py

@@ -0,0 +1,66 @@
+import os
+from unittest.mock import patch
+
+KENARI_API_BASE = "https://kenari.id/v1"
+
+
+def test_kenari_json_registry():
+    import litellm
+    from litellm.llms.openai_like.json_loader import JSONProviderRegistry
+
+    assert litellm.LlmProviders.KENARI.value == "kenari"
+    assert litellm.LlmProviders("kenari") == litellm.LlmProviders.KENARI
+    assert JSONProviderRegistry.exists("kenari")
+    config = JSONProviderRegistry.get("kenari")
+    assert config is not None
+    assert config.base_url == KENARI_API_BASE
+    assert config.api_key_env == "KENARI_API_KEY"
+    assert config.api_base_env == "KENARI_API_BASE"
+    assert config.supported_endpoints == ["/v1/chat/completions"]
+
+
+def test_kenari_dynamic_config_env_vars():
+    from litellm.llms.openai_like.dynamic_config import create_config_class
+    from litellm.llms.openai_like.json_loader import JSONProviderRegistry
+
+    config = create_config_class(JSONProviderRegistry.get("kenari"))()
+
+    with patch.dict(
+        os.environ,
+        {
+            "KENARI_API_KEY": "test-key",
+            "KENARI_API_BASE": "https://custom.kenari.example/v1",
+        },
+    ):
+        api_base, api_key = config._get_openai_compatible_provider_info(None, None)
+
+    assert api_base == "https://custom.kenari.example/v1"
+    assert api_key == "test-key"
+
+
+def test_kenari_provider_detection_by_prefix():
+    from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
+
+    model, provider, _, api_base = get_llm_provider("kenari/deepseek-v4-pro")
+
+    assert model == "deepseek-v4-pro"
+    assert provider == "kenari"
+    assert api_base == KENARI_API_BASE
+
+
+def test_kenari_chat_complete_url():
+    from litellm.llms.openai_like.dynamic_config import create_config_class
+    from litellm.llms.openai_like.json_loader import JSONProviderRegistry
+
+    config = create_config_class(JSONProviderRegistry.get("kenari"))()
+
+    assert (
+        config.get_complete_url(
+            api_base=None,
+            api_key=None,
+            model="deepseek-v4-pro",
+            optional_params={},
+            litellm_params={},
+        )
+        == "https://kenari.id/v1/chat/completions"
+    )