from agentneo import AgentNeo, Tracer, Evaluation, launch_dashboard
# Create session and project
neo_session = AgentNeo(session_name="my_session")
neo_session.create_project(project_name="my_project")
# Initialize tracer
tracer = Tracer(session=neo_session)
tracer.start()
@tracer.trace_llm("my_llm_call")
async def get_llm_response(prompt):
# Your LLM call here
pass
@tracer.trace_tool("my_tool")
def calculate_metrics(data):
# Your tool logic here
pass
@tracer.trace_agent("my_agent")
def process_task(input_data):
# Your agent logic here
pass
# Stop tracing
tracer.stop()
# Launch dashboard
launch_dashboard(port=3000)
from agentneo import AgentNeo, Tracer, Evaluation, launch_dashboard
# Setup
neo_session = AgentNeo(session_name="example_session")
neo_session.create_project(project_name="example_project")
tracer = Tracer(session=neo_session)
tracer.start()
# Define your functions
@tracer.trace_tool("data_processor")
def process_data(data):
return {"processed": data}
@tracer.trace_agent("main_agent")
def main_agent(input_data):
processed = process_data(input_data)
return processed
# Run your application
result = main_agent({"data": "example"})
# Stop and view
tracer.stop()
launch_dashboard(port=3000)