feat: enhance chat service with documentation indexing and improved Docker configuration

src/datacenter_docs/utils/config.py

@@ -3,8 +3,9 @@ Configuration management using Pydantic Settings
 """
 
 from functools import lru_cache
-from typing import List
+from typing import Any, Dict, List
 
+from pydantic import model_validator
 from pydantic_settings import BaseSettings
 
 
@@ -67,10 +68,25 @@ class Settings(BaseSettings):
     VECTOR_STORE_PATH: str = "./data/chroma_db"
     EMBEDDING_MODEL: str = "sentence-transformers/all-MiniLM-L6-v2"
 
-    # Celery
+    # Celery (uses REDIS_URL as default if not set)
     CELERY_BROKER_URL: str = "redis://localhost:6379/0"
     CELERY_RESULT_BACKEND: str = "redis://localhost:6379/0"
 
+    @model_validator(mode="before")
+    @classmethod
+    def set_celery_defaults(cls, values: Dict[str, Any]) -> Dict[str, Any]:
+        """Use REDIS_URL as default for Celery if not explicitly set"""
+        redis_url = values.get("REDIS_URL", "redis://localhost:6379/0")
+
+        # Only set if not already provided via environment
+        if "CELERY_BROKER_URL" not in values or not values.get("CELERY_BROKER_URL"):
+            values["CELERY_BROKER_URL"] = redis_url
+
+        if "CELERY_RESULT_BACKEND" not in values or not values.get("CELERY_RESULT_BACKEND"):
+            values["CELERY_RESULT_BACKEND"] = redis_url
+
+        return values
+
     class Config:
         env_file = ".env"
         case_sensitive = True

src/datacenter_docs/utils/llm_client.py

@@ -14,6 +14,7 @@ This client works with:
 import logging
 from typing import Any, AsyncIterator, Dict, List, Optional, Union, cast
 
+import httpx
 from openai import AsyncOpenAI
 from openai.types.chat import ChatCompletion, ChatCompletionChunk
 
@@ -79,8 +80,13 @@ class LLMClient:
         self.temperature = temperature if temperature is not None else settings.LLM_TEMPERATURE
         self.max_tokens = max_tokens or settings.LLM_MAX_TOKENS
 
-        # Initialize AsyncOpenAI client
-        self.client = AsyncOpenAI(base_url=self.base_url, api_key=self.api_key)
+        # Initialize AsyncOpenAI client with custom HTTP client (disable SSL verification for self-signed certs)
+        http_client = httpx.AsyncClient(verify=False, timeout=30.0)
+        self.client = AsyncOpenAI(
+            base_url=self.base_url,
+            api_key=self.api_key,
+            http_client=http_client
+        )
 
         logger.info(f"Initialized LLM client: base_url={self.base_url}, model={self.model}")