[KongchangAI]
Productagent-reliability

Agent Reliability

An open-source Python SDK focused on measuring AI agent reliability, adapting SRE (Site Reliability Engineering) reliability measurement methods to agent evaluation scenarios, with support for SLO assertions, error budget tracking, and CI integration.

Timeline (last 90 days)

Sep 12

Agent Reliability is an open-source Python SDK focused on measuring the reliability of AI Agents.

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Sep 12

The core idea of Agent Reliability is to migrate SRE (Site Reliability Engineering) reliability measurement methods into AI Agent evaluation.

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Sep 12

Agent Reliability introduces three explicit outcome states: PASS, FAIL, and UNKNOWN.

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Sep 12

In Agent Reliability, the UNKNOWN state does not artificially lower the reliability score.

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Sep 12

Agent Reliability strictly distinguishes between the evaluator's own execution failures and Agent failures, and tracks measurement health and Agent reliability separately.

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Sep 12

Agent Reliability introduces SLO and error-budget semantics, and provides SLO assertions that can be used in tests/CI.

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Sep 12

Agent Reliability adopts a local-first approach, requiring no account registration, API keys, or hosted services.

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Sep 12

Agent Reliability's base package has zero mandatory runtime dependencies and includes built-in deterministic evaluators.

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Sep 12

Agent Reliability provides optional OpenTelemetry interoperability.

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Sep 12

Agent Reliability can be installed via pip install agent-reliability and has been published to PyPI.

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