A developer shared on r/LangChain how their team stopped LLM agents from crashing on hallucinated tool parameters by placing a virtual mock gateway in front of tool definitions during development. The gateway validates payloads against JSON Schemas with AJV before any real code runs, returning structured errors the model can auto-correct. They packaged the setup into a tool called MockAgent for mocking endpoints and visualizing agent trajectory errors.
A developer shared MockAgent on r/LangChain, a free local-dev tool that sits between an agent and tool backends to catch schema drift and infinite retry loops. It validates tool-call payloads with AJV and returns structured error paths so agents can self-correct without burning API credits.
A developer shared MockAgent on r/LangChain, a free local-dev tool that sits between an agent and tool backends to catch schema drift and infinite retry loops. It validates tool-call payloads with AJV and returns structured error paths so agents can self-correct without burning API credits.
A Reddit post announces MockAgent, a free local-dev tool that intercepts agent tool calls and validates JSON parameters in real time, targeting parameter hallucination and retry loops in frameworks like CrewAI and AutoGen. It returns structured AJV validation errors and supports chaos testing to verify agent self-correction.
A Reddit post announces MockAgent, a free local-dev tool that intercepts agent tool calls and validates JSON parameters in real time, targeting parameter hallucination and retry loops in frameworks like CrewAI and AutoGen. It returns structured AJV validation errors and supports chaos testing to verify agent self-correction.
A proxy gateway (axonpush.xyz) that sits between a LangChain agent's LLM and its tools. Point ChatOpenAI at the gateway's base URL, define rules like 'block issue_refund when amount > 1000', and the gateway inspects tool calls in the model's response and blocks them before execution. It lets teams enforce tool-call policies without modifying agent code.
A proxy gateway (axonpush.xyz) that sits between a LangChain agent's LLM and its tools. Point ChatOpenAI at the gateway's base URL, define rules like 'block issue_refund when amount > 1000', and the gateway inspects tool calls in the model's response and blocks them before execution. It lets teams enforce tool-call policies without modifying agent code.
A developer working on Failproof AI discusses how AI agents fail differently from traditional software, where a tool call can succeed technically but lead to wrong decisions. They are experimenting with approaches to handle such cases.
A developer working on Failproof AI discusses how AI agents fail differently from traditional software, where a tool call can succeed technically but lead to wrong decisions. They are experimenting with approaches to handle such cases.
A common agentic failure occurs when a tool's implementation changes (e.g., adding a required parameter) but its registration schema is not updated. The model then calls the tool with the old arguments, causing silent failures. This pattern highlights the need for automated schema synchronization.
A common agentic failure occurs when a tool's implementation changes (e.g., adding a required parameter) but its registration schema is not updated. The model then calls the tool with the old arguments, causing silent failures. This pattern highlights the need for automated schema synchronization.