Develop

backend/.env.example

@@ -31,23 +31,23 @@ MAX_CONCURRENT_SESSIONS=10
 
 # OpenAI Configuration (kong Dev)
 OPENAI_API_KEY=your-openai-api-key
-OPENAI_BASE_URL=https://api-pub.dev.developer.nbcuni.com/prism-ai-core-openai
+OPENAI_BASE_URL=https://api.openai.com/v1
 OPENAI_MODEL=gpt-5.4
 
 # Azure OpenAI Configuration
-AZURE_OPENAI_ENDPOINT=https://api-pub.dev.developer.nbcuni.com/prism-ai-core-azure-v2
+AZURE_OPENAI_ENDPOINT=https://your-azure-openai-endpoint.openai.azure.com
 AZURE_OPENAI_API_KEY=your-azure-openai-api-key
 AZURE_OPENAI_DEPLOYMENT=gpt-5.4
 AZURE_API_VERSION=2024-02-15-preview
 
 # AWS Bedrock Configuration
-AWS_BASE_URL=https://api-pub.dev.developer.nbcuni.com/prism-ai-core-aws-v2
+AWS_BASE_URL=https://bedrock.us-east-1.amazonaws.com
 AWS_API_KEY=your-aws-api-key
 AWS_MODEL=global.anthropic.claude-sonnet-4-6
 
 # Google Vertex AI Configuration
 GCP_MODEL=gemini-3.1-pro-preview
-GCP_ENDPOINT=https://api-pub.dev.developer.nbcuni.com/prism-ai-core-gcp-v2
+GCP_ENDPOINT=https://vertexai.googleapis.com/v1/projects/your-project-id/locations/global/publishers/google/models/gemini-3.1-pro-preview:predict
 GCP_API_KEY=your-gcp-api-key
 
 # Ollama Configuration
@@ -68,8 +68,8 @@ NEO4J_DATABASE=neo4j
 SEARCH_SERVER_URL=http://mcp-web-search-server:9393/mcp
 SEARCH_SERVER_API_KEY=your-search-server-api-key
 
-SCRAPER_SERVER_URL=http://mcp-web-scraping-server:9292/mcp
-SCRAPER_SERVER_API_KEY=your-scraper-server-api-key
+FETCH_SERVER_URL=http://mcp-fetch-server:9292/mcp
+FETCH_SERVER_API_KEY=your-fetch-server-api-key
 
 FILE_SERVER_URL=http://mcp-file-handler-server:9191/mcp
 FILE_SERVER_API_KEY=your-file-server-api-key

backend/config.py

@@ -234,13 +234,13 @@ class Config(BaseModel):
 
     # Web scraping server (port 9292): scrape_url (content extraction, metadata,
     # boilerplate removal).
-    scraper_server_url: str = Field(
+    fetch_server_url: str = Field(
         default_factory=lambda: os.getenv(
-            "SCRAPER_SERVER_URL", "http://localhost:9292/mcp"
+            "FETCH_SERVER_URL", "http://localhost:9292/mcp"
         )
     )
-    scraper_server_api_key: Optional[str] = Field(
-        default_factory=lambda: os.getenv("SCRAPER_SERVER_API_KEY")
+    fetch_server_api_key: Optional[str] = Field(
+        default_factory=lambda: os.getenv("FETCH_SERVER_API_KEY")
     )
 
     # File handler server (port 9191): list_files, read_file, write_file,

backend/mcp_client.py

@@ -728,7 +728,7 @@ async def create_mcp_registry(config: Config) -> MCPServerRegistry:
     # Register the three built-in streamable-http servers.
     builtin_servers = [
         ("web_search", config.search_server_url),
-        ("web_scraper", config.scraper_server_url),
+        ("fetch", config.fetch_server_url),
         ("file_handler", config.file_server_url),
     ]
     for server_name, server_url in builtin_servers:

docker-compose-full.yml

@@ -44,7 +44,7 @@ services:
         condition: service_healthy
       mcp-web-search-server:
         condition: service_healthy
-      mcp-web-scraping-server:
+      mcp-fetch-server:
         condition: service_healthy
 
   neo4j:

docker-compose.yml

@@ -44,7 +44,7 @@ services:
         condition: service_healthy
       mcp-web-search-server:
         condition: service_healthy
-      mcp-web-scraping-server:
+      mcp-fetch-server:
         condition: service_healthy
 
   neo4j: