See why your AI agents make the decisions they make.
Complete observability for multi-agent systems.
From decision trees to cost intelligence, get complete visibility into how your AI systems operate
Visualize the complete reasoning behind every agent choice. See the branching logic, alternatives considered, and the path chosen.
Monitor context window utilization in real-time. Track what's being fed into your agents and what's being left behind.
Track spending per decision, per agent, per trace. Get granular insights into where every dollar goes in your AI operations.
Our Python SDK integrates seamlessly with LangChain, OpenAI, and custom agents. Add observability without changing your architecture.
from agentlens import init, trace
# Initialize AgentLens
init(
api_key="your-api-key",
endpoint="https://agentlens.vectry.tech"
)
# Trace your agent function
@trace(name="research-agent")
async def research(topic: str):
# Your agent logic here
return f"Researching: {topic"