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ANCHOR SDK — two-way guardrail for AI agents. Gate inputs, outputs, and actions.

Project description

ANCHOR SDK

Monitor and self-correct your AI agents in 2 lines of code.

Install

pip install anchor-sdk

Quick start

import anchor_sdk as anchor

anchor.init(
    url="https://api.anchormonitor.com",
    agent_id="my-agent",
    task="Describe what your agent does",
    sdk_key="sk-...",          # from your ANCHOR dashboard
)

# Your existing agent code — unchanged.
# ANCHOR auto-monitors every OpenAI / Anthropic / LangChain call.

Get your SDK key at anchormonitor.com.

What it does

  • Detects drift — vocabulary, semantic, latency, refusal, tool-call, and input distribution
  • Self-corrects — injects a correction system message before the next LLM call
  • Escalates — emails + Slack + PagerDuty when correction fails after 3 attempts
  • Zero code changes — patches OpenAI, Anthropic, and LangChain automatically

Manual usage

# If you prefer explicit control:
result = anchor.watch("The agent's latest response text")
if result["correction_required"]:
    print(result["correction_prompt"])  # inject this as a system message

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