Forward Future Tools Library
Application Error
AgentOps gives developers observability for AI agents and LLM applications, with event tracking, replayable runs, and audit trails from prototype through production.
Try Application Error →
agentops.ai·Free
›What is Application Error?
AgentOps is a developer platform for tracing, debugging, and deploying AI agents and LLM applications. Its SDK tracks LLM calls, tools, and multi-agent interactions, then records logs, errors, and prompt injection attacks for debugging and auditing.
›What are the pros and cons of Application Error?
Strengths
Tracks the events that make up an AI agent run, including model calls, tools, and multi-agent interactions
Supports OpenAI, CrewAI, AutoGen, and more than 400 LLMs and frameworks
Provides point-in-time replay for debugging agent behavior
Keeps data trails for errors and prompt injection attacks from development through production
Trade-offs
Its scope is centered on AI agents and LLM applications rather than general application monitoring
Using the platform requires adding its SDK and connecting framework integrations
›What are Application Error’s key features?
Visual tracking for LLM calls, tool usage, and multi-agent interactions
Time travel debugging that rewinds and replays agent runs
Logs and error trails for debugging and auditing
Prompt injection attack tracking
Native integrations with OpenAI, CrewAI, AutoGen, and 400+ LLMs and frameworks
Python SDK installation through pip
›What are the best use cases for Application Error?
Tracing how an AI agent calls models and tools during a run
Replaying an agent run to investigate incorrect behavior
Auditing logs, errors, and prompt injection attacks in production
Monitoring multi-agent interactions while developing an LLM application
›What is the pricing for Application Error?
Free
›Who is Application Error best for?
developersA strong fit for developers building and debugging AI agents or LLM applications.
small teamSmall engineering teams can use the shared event trails and replay tools to investigate agent behavior across development and production.
Not for
- Teams looking primarily for browser-side or general-purpose application error monitoring rather than AI agent observability.
