Agent Output Audit monitors every response your AI agents produce. Detect hallucinations, silent rewrites, factual errors, and compliance violations โ automatically.
Get Agent Audit โ ยฃ39โก 1,649-line Python tool โข Works with any LLM โข 5-minute setup
Agents silently edit figures in summaries every day. That invoice said ยฃ4,500 โ your agent told the client ยฃ4,000. You won't catch it manually.
97% of AI agents hallucinate facts at least once per 100 responses. Your customers trust them. Your legal team won't when they find out.
Compliance violations happen silently. One agent response promising something your business can't deliver โ and you're liable.
Over weeks, responses get shorter, snarkier, or stray from your brand voice. You don't catch it until churn spikes.
Agents get stuck repeating the same phrases or questions, frustrating users. Manual review is too slow.
When something goes wrong, you have no record of what the agent said, when, or why. Compliance teams panic.
Six audit checks that run against every agent response
Cross-references claims against source material. Flags unverifiable facts, invented statistics, and fabricated citations.
Compares agent output to raw LLM response. Catches when middleware or post-processing changes content without logging it.
Define forbidden phrases, required disclosures, and regulatory patterns. Violations trigger immediate alerts.
Tracks sentiment, reading level, and response length over time. Alerts when quality degrades beyond your thresholds.
Generates structured JSON audit reports โ pass/fail per check, severity scores, and actionable fix suggestions.
OpenAI API, Anthropic API, or custom JSON logs. One Python script, no dependencies beyond requests.
Single Python file. Runs anywhere โ your server, CI pipeline, or cron job.
OpenAI logs, Anthropic logs, or any JSON file with agent responses. One config line.
Set forbidden phrases, compliance requirements, and quality thresholds. Or use defaults.
Run on-demand or schedule via cron. Every response scored. Every violation flagged.
๐ Secure payment โข Instant download
You can't manually review every agent response. Let Agent Audit do it โ automatically, every time.
Get Agent Audit โ ยฃ39Only if you want to audit those providers' outputs. The tool itself runs locally โ it reads your existing agent logs. No additional API costs to run the audit.
Yes. The custom JSON log input accepts any structured agent output โ Claude via AWS Bedrock, open-source models, even non-LLM chatbots. Just format your logs as JSON.
Daily is recommended for production agents. The tool is cron-friendly โ schedule it alongside your other Hermes Agent cron jobs. Each run takes seconds for typical log volumes.
It's a self-hosted Python script. You own it, you run it, your data never leaves your machine. No monthly fees, no vendor lock-in.
14-day money-back guarantee. If it doesn't catch issues in your agent outputs, email for a full refund.