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HB-Eval SDK: operational reliability evaluation for agentic AI — fault-injection battery, runtime monitoring, MCP server, and LangChain/LangGraph/CrewAI adapters

Project description

HB-Eval SDK

The official Python SDK for HB-Eval OS — the reliability operating system for agentic AI. Evaluate any agent trajectory against five reliability metrics and receive a tier certification, in a few lines of code.

Install

pip install hb-eval-sdk

For the LangChain integration:

pip install hb-eval-sdk[langchain]

Quick start

from hb_eval_sdk import HBEvalClient

client = HBEvalClient(
    api_key="...",          # identifies your project
    aes_key="...",          # encrypts your payload (base64, 32 bytes)
    signing_secret="...",   # signs your request (base64; never transmitted)
)

result = client.evaluate({
    "trajectory": [
        {"step": 1, "action": "chain_start"},
        {"step": 2, "action": "tool_call", "tool": "search"},
        {"step": 3, "action": "chain_end"},
    ],
    "sub_tasks": 3,
    "constraint_violations": 0,
    "recovery_episodes": [],
    "agent_id": "my-agent",
})

print(result.verdict, result.tier)
print(result.metrics)   # pei, irs, frr, ti, csi

The five metrics

Every evaluation returns five reliability metrics. Any of them may be None when it is genuinely undefined for a given run, and None always means "not measured" — never "scored zero".

  • PEI — Planning Efficiency Index
  • IRS — Intentional Recovery Score (None when the run had no faults)
  • FRR — Failure Resilience Rate
  • TI — Traceability Index (None when no judge evaluation was made)
  • CSI — Consistency Stability Index (None without enough history)

LangChain

from hb_eval_sdk import HBEvalCallback

callback = HBEvalCallback(api_key="...", aes_key="...", signing_secret="...")
agent.run(task, callbacks=[callback])
print(callback.last_result.verdict)

The callback observes the real run — counting genuine tool errors and detecting actual fault-and-recovery patterns — rather than assuming a clean execution.

Credentials

Your project has three credentials, issued together when the project is created. The API key is sent on each request to identify you. The AES key encrypts your payload locally. The signing secret signs your request and is never transmitted — it proves the request genuinely came from you, even to an observer who has seen your API key.

Links

License

MIT

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