AgentOps

With over 400 large language models and frameworks supported, AgentOps is built for engineers who need to build and deploy reliable AI agents, offering features like Time Travel Debugging, which allows for rewinding and replaying agent runs with precision, and a cost tracking system that monitors spending across multiple agents, including token counts and up-to-date price monitoring. The platform provides native integrations with top agent frameworks and supports fine-tuning of specialized LLMs, making it up to 25 times cheaper on saved completions. AgentOps offers a free plan with up to 5,000 events, as well as paid plans starting at $40 per month, with features like unlimited event limits and dedicated Slack and email support. However, one limitation of the platform is that its on-premise deployment option is only available for enterprise plans. AgentOps also provides a range of documentation and courses to help users get started, including a general documentation section and an enterprise view. The platform's SDK is agent-agnostic, allowing for seamless integration with various frameworks. Additionally, AgentOps provides features like session and event export, as well as role-based permissioning, to help teams manage their agents efficiently. With its robust set of features and scalability options, AgentOps is well-suited for teams looking to build and deploy complex AI agents. Its flexible pricing plans and extensive documentation make it an attractive option for engineers and teams of all sizes.