feat(provider): add AGIone provider

litellm/constants.py

@@ -825,6 +825,7 @@ openai_compatible_providers: List = [
     "novita",
     "meta_llama",
     "publicai",  # PublicAI - JSON-configured provider
+    "agione",  # AGIone - JSON-configured provider
     "synthetic",  # Synthetic - JSON-configured provider
     "tensormesh",  # Tensormesh - JSON-configured provider
     "apertis",  # Apertis - JSON-configured provider

litellm/llms/openai_like/providers.json

@@ -107,6 +107,12 @@
     "api_key_env": "AIHUBMIX_API_KEY",
     "api_base_env": "AIHUBMIX_API_BASE"
   },
+  "agione": {
+    "base_url": "https://agione.pro/hyperone/xapi/api/v1",
+    "api_key_env": "AGIONE_API_KEY",
+    "api_base_env": "AGIONE_API_BASE",
+    "supported_endpoints": ["/v1/chat/completions", "/v1/messages", "/v1/responses"]
+  },
   "crusoe": {
     "base_url": "https://managed-inference-api-proxy.crusoecloud.com/v1",
     "api_key_env": "CRUSOE_API_KEY",

litellm/provider_endpoints_support_backup.json

@@ -66,6 +66,23 @@
         "a2a": false
       }
     },
+    "agione": {
+      "display_name": "AGIone (`agione`)",
+      "url": "https://agione.pro",
+      "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
+      }
+    },
     "aiml": {
       "display_name": "AI/ML API (`aiml`)",
       "url": "https://docs.litellm.ai/docs/providers/aiml",

litellm/types/utils.py

@@ -3299,6 +3299,7 @@ class LlmProviders(str, Enum):
     DASHSCOPE = "dashscope"
     MOONSHOT = "moonshot"
     PUBLICAI = "publicai"
+    AGIONE = "agione"
     V0 = "v0"
     MORPH = "morph"
     LAMBDA_AI = "lambda_ai"

provider_endpoints_support.json

@@ -66,6 +66,23 @@
         "a2a": false
       }
     },
+    "agione": {
+      "display_name": "AGIone (`agione`)",
+      "url": "https://agione.pro",
+      "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
+      }
+    },
     "aiml": {
       "display_name": "AI/ML API (`aiml`)",
       "url": "https://docs.litellm.ai/docs/providers/aiml",

tests/test_litellm/llms/openai_like/test_agione_provider.py

@@ -0,0 +1,115 @@
+"""Tests for AGIone provider configuration and integration."""
+
+import os
+
+import pytest
+
+import litellm
+
+
+class TestAGIoneProviderConfig:
+    """Test AGIone provider configuration."""
+
+    def test_agione_in_provider_list(self):
+        from litellm import LlmProviders
+
+        assert hasattr(LlmProviders, "AGIONE")
+        assert LlmProviders.AGIONE.value == "agione"
+        assert "agione" in litellm.provider_list
+
+    def test_agione_json_config_exists(self):
+        from litellm.llms.openai_like.json_loader import JSONProviderRegistry
+
+        assert JSONProviderRegistry.exists("agione")
+
+        agione = JSONProviderRegistry.get("agione")
+        assert agione is not None
+        assert agione.base_url == "https://agione.pro/hyperone/xapi/api/v1"
+        assert agione.api_key_env == "AGIONE_API_KEY"
+        assert agione.api_base_env == "AGIONE_API_BASE"
+        assert agione.supported_endpoints == [
+            "/v1/chat/completions",
+            "/v1/messages",
+            "/v1/responses",
+        ]
+        assert JSONProviderRegistry.supports_responses_api("agione") is True
+
+    def test_agione_responses_url(self):
+        from litellm.llms.openai_like.dynamic_config import create_responses_config_class
+        from litellm.llms.openai_like.json_loader import JSONProviderRegistry
+
+        agione = JSONProviderRegistry.get("agione")
+        assert agione is not None
+
+        config_cls = create_responses_config_class(agione)
+        config = config_cls()
+
+        assert config.get_complete_url(api_base=None, litellm_params={}) == "https://agione.pro/hyperone/xapi/api/v1/responses"
+
+    def test_agione_provider_resolution(self):
+        from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
+
+        model, provider, api_key, api_base = get_llm_provider(
+            model="agione/deepseek/deepseek-v3.2/0000n",
+            custom_llm_provider=None,
+            api_base=None,
+            api_key=None,
+        )
+
+        assert model == "deepseek/deepseek-v3.2/0000n"
+        assert provider == "agione"
+        assert api_base == "https://agione.pro/hyperone/xapi/api/v1"
+
+    def test_agione_api_base_override(self):
+        from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
+
+        model, provider, api_key, api_base = get_llm_provider(
+            model="agione/deepseek/deepseek-v3.2/0000n",
+            custom_llm_provider=None,
+            api_base="https://custom.example.com/v1",
+            api_key="test-key",
+        )
+
+        assert provider == "agione"
+        assert api_base == "https://custom.example.com/v1"
+        assert api_key == "test-key"
+
+    def test_agione_router_config(self):
+        from litellm import Router
+
+        router = Router(
+            model_list=[
+                {
+                    "model_name": "agione-chat",
+                    "litellm_params": {
+                        "model": "agione/deepseek/deepseek-v3.2/0000n",
+                        "api_key": "test-key",
+                    },
+                }
+            ]
+        )
+
+        assert len(router.model_list) == 1
+        assert router.model_list[0]["model_name"] == "agione-chat"
+
+
+def test_agione_completion_live():
+    """Optional live smoke test. Runs only when AGIONE_API_KEY is set."""
+    api_key = os.environ.get("AGIONE_API_KEY")
+    if not api_key or api_key == "PASTE_YOUR_NEW_KEY_HERE":
+        pytest.skip("AGIONE_API_KEY not set")
+
+    response = litellm.completion(
+        model="agione/deepseek/deepseek-v3.2/0000n",
+        messages=[
+            {
+                "role": "user",
+                "content": "Reply exactly: litellm-agione-ok",
+            }
+        ],
+        max_tokens=20,
+    )
+
+    assert response is not None
+    assert response.choices
+    assert response.choices[0].message.content is not None