How to Intercept Hallucinated LLM Tool Calls
9ThisUsernameIsTaken · reddit · 2026-07-14
The author connected an agent to internal APIs and custom tools, but twice a day it "invents" non-existent tool calls—either hitting non-existent endpoints or fabricating parameters outside the schema.
The problem is that logs typically only show generic timeouts or deep stack errors, making it hard to quickly tell if a tool genuinely failed or if the model hallucinated the call.
They are looking for an interception/validation layer between the model's output and the execution layer to identify and flag non-existent tools or illegal parameters before execution. This would specifically catch hallucinated tool calls, going beyond standard observability metrics like latency and token stats.
More from coding & agent
- AI agents are starting to strain code hosting platforms — craigsdennis · 2026-07-21
- Async OPD distillation doubles throughput while matching synchronous math accuracy — _lewtun · 2026-07-21
- Omnigent 0.6.0 adds Claude Code imports, Slack approvals and desktop apps — matei_zaharia · 2026-07-21
- Google appears to have quietly shipped Gemini 3.6 Flash, with lower pricing and better agentic scores — xiaohu · 2026-07-21
- Open-source CLI audits AI tools, MCP configs, and agent skills on local machines — Initial-Copy332 · 2026-07-21
- Coding agents feel less stressful when the 5-hour limits are temporarily removed — iamrobotbear · 2026-07-21