AgentOps
AgentOps
Build AI agents and LLM apps with observability, evals, and replay analytics.
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Tool Info
Rating: N/A (0 reviews)
Date Added: April 12, 2024
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Description
AgentOps is a tool that allows you to build AI agents and LLM apps with observability, evals, and replay analytics. It provides a solution to the challenge of limited visibility into agent testing performance, enabling agent developers to move from prototypes to production. With AgentOps, you can evaluate, grade, and test agents effectively.
AgentOps offers features such as instrumenting chat completions, providing a dashboard to view sessions, LLM chat histories, cost, and token counts, and integrating with the AgentOpsLogger.
You can use AgentOps for various use cases, including building simple AI agents, creating multi-agent systems, tracking agents that use Langchain, and developing complex multi-agent systems using the Crew.ai framework.
For more information, you can visit their website at [https://www.agentops.ai/](https://www.agentops.ai/).
Key Features
- Instrumenting chat completions.
- Dashboard to view sessions.
- LLM chat histories
- cost
- and token counts.
- Integration with the AgentOpsLogger.
Use Cases
- Building simple AI agents.
- Creating multi-agent systems.
- Tracking agents that use Langchain.
- Developing complex multi-agent systems using the Crew.ai framework.
