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Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks like CrewAI, Langchain, and Autogen

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AgentOps: The Ultimate AI Agent Development Platform

Overview

AgentOps is an industry-leading open-source platform designed for developers to test and debug AI agents. With a focus on reliability and efficiency, AgentOps empowers thousands of engineers to create and manage sophisticated AI systems effortlessly.

Key Features

  • Event Tracking: Visualize events such as LLM calls, tools, and multi-agent interactions.
  • Replay Capabilities: Rewind and replay agent runs with precise point-in-time accuracy.
  • Comprehensive Logs: Maintain a full data trail of logs, errors, and prompt injection attacks from prototype to production.

How to Use

Getting started with AgentOps is simple. Sign up for a free account to begin tracking up to 1,000 events. As your needs grow, you can upgrade to Pro or Enterprise plans for advanced features like custom tests, time travel debugging, and more.

Purposes

AgentOps is ideal for developers looking to:

  • Debug and test AI agents.
  • Monitor spending across multiple agents.
  • Fine-tune specialized LLMs at a fraction of the cost.

Reviews

Users rave about AgentOps for its intuitive interface and powerful analytics capabilities, making it easier to manage complex AI workflows.

Alternatives

Some alternatives to AgentOps include MLflow and Weights & Biases, but AgentOps stands out with its agent-agnostic SDK and comprehensive event tracking.

Benefits for Users

  • Cost Efficiency: Fine-tune LLMs up to 25x cheaper.
  • Scalability: Flexible pricing and features that grow with your needs.
  • Robust Support: Access to email support and customizable deployment options for enterprise users.

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