Add support for DeepSeek API in dependencies and service layers

example.env

@@ -21,6 +21,7 @@ PROMETHEUS_ANTHROPIC_API_KEY=anthropic_api_key
 PROMETHEUS_GEMINI_API_KEY=gemini_api_key
 PROMETHEUS_OPENAI_API_KEY=openai_api_key
 PROMETHEUS_OPENROUTER_API_KEY=openrouter_api_key
+PROMETHEUS_DEEPSEEK_API_KEY=deepseek_api_key
 
 # GitHub settings
 PROMETHEUS_GITHUB_ACCESS_TOKEN=github_access_token

prometheus/app/dependencies.py

@@ -41,6 +41,7 @@ def initialize_services() -> ServiceCoordinator:
         getattr(settings, "ANTHROPIC_API_KEY", None),
         getattr(settings, "GEMINI_API_KEY", None),
         getattr(settings, "OPENROUTER_API_KEY", None),
+        getattr(settings, "DEEPSEEK_API_KEY", None),
     )
     knowledge_graph_service = KnowledgeGraphService(
         neo4j_service,

prometheus/app/services/llm_service.py

@@ -21,16 +21,23 @@ def __init__(
         anthropic_api_key: Optional[str] = None,
         gemini_api_key: Optional[str] = None,
         open_router_api_key: Optional[str] = None,
+        deepseek_api_key: Optional[str] = None,
     ):
         self.advanced_model = get_model(
             advanced_model_name,
             openai_api_key,
             anthropic_api_key,
             gemini_api_key,
             open_router_api_key,
+            deepseek_api_key,
         )
         self.base_model = get_model(
-            base_model_name, openai_api_key, anthropic_api_key, gemini_api_key, open_router_api_key
+            base_model_name,
+            openai_api_key,
+            anthropic_api_key,
+            gemini_api_key,
+            open_router_api_key,
+            deepseek_api_key,
         )
 
 
@@ -40,6 +47,7 @@ def get_model(
     anthropic_api_key: Optional[str] = None,
     gemini_api_key: Optional[str] = None,
     open_router_api_key: Optional[str] = None,
+    deepseek_api_key: Optional[str] = None,
 ) -> BaseChatModel:
     if "/" in model_name:
         return CustomChatOpenAI(
@@ -74,5 +82,14 @@ def get_model(
             max_tokens=None,
             max_retries=3,
         )
+    elif "deepseek" in model_name:
+        return CustomChatOpenAI(
+            model=model_name,
+            api_key=deepseek_api_key,
+            base_url="https://api.deepseek.com",
+            temperature=0.0,
+            max_tokens=None,
+            max_retries=3,
+        )
     else:
         raise ValueError(f"Unknown model name: {model_name}")

tests/app/services/test_llm_service.py

@@ -100,6 +100,21 @@ def test_get_model_gemini(mock_chat_google):
     )
 
 
+def test_get_model_deepseek(custom_chat_openai):
+    # Exercise
+    get_model(model_name="deepseek-r1", deepseek_api_key="deepseek-key")
+
+    # Verify
+    custom_chat_openai.assert_called_once_with(
+        model="deepseek-R1",
+        api_key="deepseek-key",
+        base_url="https://api.deepseek.com",
+        temperature=0.0,
+        max_tokens=None,
+        max_retries=3,
+    )
+
+
 def test_get_model_unknown():
     # Exercise & Verify
     with pytest.raises(ValueError, match="Unknown model name: unknown-model"):