AgentRunner

AgentRunner is a platform designed to facilitate the development and execution of AI agents capable of reasoning, planning, and interacting dynamically with users and external tools. It provides a flexible environment for managing sessions and agent workflows, supporting asynchronous operations to handle complex tasks efficiently. This approach allows AgentRunner to coordinate multiple agents or tools in parallel or sequence, enabling sophisticated autonomous behaviors within applications.

Key features include asynchronous execution through its Runner component, which manages agent interactions and session contexts to maintain stateful conversations. This design supports integration with large language models (LLMs) and external APIs, allowing agents to request tools, process intermediate steps, and deliver final responses without blocking operations. AgentRunner also supports collaboration among agents and the facilitation of multi-agent workflows, which can be composed hierarchically or in parallel.

Additionally, the platform can be integrated with monitoring and tracing tools to ensure reliability and performance transparency in deployed AI agents. With support for a wide range of LLM providers and models, AgentRunner offers adaptability to various AI development needs. Its framework emphasizes robust session management, asynchronous event handling, and extensible tool usage, making it suitable for building autonomous applications that require dynamic user interaction and complex task execution.

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Website: agentrunner.com

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