aobs
An open-source tool for guarding against high-risk tool invocations by AI agents, which intercepts duplicate executions by validating against real business records, and supports human approval, observability export, and CI policy gates.
Timeline (last 90 days)
aobs is an open-source tool, licensed under Apache-2.0 and written in Python.
The core mechanism of aobs is to intercept high-risk tool calls, validate against real business records (rather than model parameters), require human approval when a threshold is exceeded, and ensure no duplicate side effects across retries and process restarts.
aobs supports OpenAI-compatible clients, Anthropic, and LangChain / LangGraph integration.
aobs run traces can be exported to OpenTelemetry.
aobs provides a CI gate function: policies are defined in TOML, PASS/FAIL and corresponding evidence are output, and it runs as a GitHub Action.
The aobs project is in the Alpha stage, and the author explains the limitations in the README.
According to the article, in the short term aobs should not be used directly for money-related operations in production environments.
aobs's deduplication judgment depends on integration with real business records, and the main implementation cost lies in the integration and modification work with existing order and accounting systems.
The aobs project was posted on Reddit by a developer, and the project address is https://github.com/AshmitJain932/ai-agent-observability.
aobs provides recipes for scenarios such as refunds, emails, deletions, and deployments, with demo GIFs in the README.
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All Facts (12)
aobs is an open-source tool, licensed under Apache-2.0 and written in Python.
50%UnverifiedThe core mechanism of aobs is to intercept high-risk tool calls, validate against real business records (rather than model parameters), require human approval when a threshold is exceeded, and ensure no duplicate side effects across retries and process restarts.
50%Unverifiedaobs supports OpenAI-compatible clients, Anthropic, and LangChain / LangGraph integration.
50%Unverifiedaobs run traces can be exported to OpenTelemetry.
50%Unverifiedaobs provides a CI gate function: policies are defined in TOML, PASS/FAIL and corresponding evidence are output, and it runs as a GitHub Action.
50%UnverifiedThe aobs project is in the Alpha stage, and the author explains the limitations in the README.
50%UnverifiedAccording to the article, in the short term aobs should not be used directly for money-related operations in production environments.
50%Unverifiedaobs's deduplication judgment depends on integration with real business records, and the main implementation cost lies in the integration and modification work with existing order and accounting systems.
50%UnverifiedThe aobs project was posted on Reddit by a developer, and the project address is https://github.com/AshmitJain932/ai-agent-observability.
50%Unverifiedaobs provides recipes for scenarios such as refunds, emails, deletions, and deployments, with demo GIFs in the README.
50%Unverifiedaobs provides a local demo started with docker compose up, with a dashboard.
50%UnverifiedThe aobs project has set aside several good first issues for community participation.
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