json logging

web/agent/pyproject.toml

@@ -13,4 +13,5 @@ dependencies = [
     "python-dotenv",
     "httpx",
     "logfire>=4.16.0",
+    "python-json-logger>=4.0.0",
 ]

web/agent/src/agent.py

@@ -7,10 +7,20 @@ import logging
 import httpx
 import logfire
 
+# Set up logging BEFORE logfire (otherwise basicConfig is ignored)
+from pythonjsonlogger import jsonlogger
+
+log_level = os.getenv("LOG_LEVEL", "INFO").upper()
+handler = logging.StreamHandler()
+handler.setFormatter(jsonlogger.JsonFormatter("%(asctime)s %(name)s %(levelname)s %(message)s"))
+logging.basicConfig(
+    level=getattr(logging, log_level, logging.INFO),
+    handlers=[handler],
+)
+logger = logging.getLogger(__name__)
+
 # Configure Logfire for observability
-# Uses LOGFIRE_TOKEN in production, or local auth from `logfire auth` in dev
 logfire.configure(
-    project_name='cavepediav2',
     environment=os.getenv('ENVIRONMENT', 'development'),
 )
 logfire.instrument_pydantic_ai()
@@ -19,14 +29,6 @@ logfire.instrument_httpx()
 from pydantic_ai import Agent, ModelMessage, RunContext
 from pydantic_ai.settings import ModelSettings
 
-# Set up logging based on environment
-log_level = logging.DEBUG if os.getenv("DEBUG") else logging.INFO
-logging.basicConfig(
-    level=log_level,
-    format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
-)
-logger = logging.getLogger(__name__)
-
 CAVE_MCP_URL = os.getenv("CAVE_MCP_URL", "https://mcp.caving.dev/mcp")
 
 logger.info(f"Initializing Cavepedia agent with CAVE_MCP_URL={CAVE_MCP_URL}")

web/agent/src/main.py

@@ -14,13 +14,27 @@ from pydantic_ai.settings import ModelSettings
 load_dotenv()
 
 # Set up logging based on environment
-log_level = logging.DEBUG if os.getenv("DEBUG") else logging.INFO
+from pythonjsonlogger import jsonlogger
+
+log_level = os.getenv("LOG_LEVEL", "INFO").upper()
+json_formatter = jsonlogger.JsonFormatter("%(asctime)s %(name)s %(levelname)s %(message)s")
+
+# Configure root logger with JSON
+handler = logging.StreamHandler()
+handler.setFormatter(json_formatter)
 logging.basicConfig(
-    level=log_level,
+    level=getattr(logging, log_level, logging.INFO),
-    format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
+    handlers=[handler],
 )
 logger = logging.getLogger(__name__)
 
+# Apply JSON formatter to uvicorn loggers (works even when run via `uvicorn src.main:app`)
+for uvicorn_logger_name in ("uvicorn", "uvicorn.error", "uvicorn.access"):
+    uvicorn_logger = logging.getLogger(uvicorn_logger_name)
+    uvicorn_logger.handlers = [handler]
+    uvicorn_logger.setLevel(getattr(logging, log_level, logging.INFO))
+    uvicorn_logger.propagate = False
+
 # Validate required environment variables
 if not os.getenv("ANTHROPIC_API_KEY"):
     logger.error("ANTHROPIC_API_KEY environment variable is required")
@@ -41,12 +55,9 @@ logger.info("Creating AG-UI app...")
 
 async def handle_agent_request(request: Request) -> Response:
     """Handle incoming AG-UI requests with dynamic role-based MCP configuration."""
-    # Debug: log all incoming headers
-    logger.info(f"DEBUG: All request headers: {dict(request.headers)}")
 
     # Extract user roles from request headers
     roles_header = request.headers.get("x-user-roles", "")
-    logger.info(f"DEBUG: x-user-roles header value: '{roles_header}'")
     user_roles = []
 
     if roles_header:

web/agent/uv.lock

@@ -236,6 +236,7 @@ dependencies = [
     { name = "openai" },
     { name = "pydantic-ai" },
     { name = "python-dotenv" },
+    { name = "python-json-logger" },
     { name = "starlette" },
     { name = "uvicorn" },
 ]
@@ -249,6 +250,7 @@ requires-dist = [
     { name = "openai" },
     { name = "pydantic-ai" },
     { name = "python-dotenv" },
+    { name = "python-json-logger", specifier = ">=4.0.0" },
     { name = "starlette" },
     { name = "uvicorn" },
 ]