Control agent execution through middleware hooks and real approval interruptions.
Editorial note checked 2026-10-29 against this instruction snapshot. Supporting scripts and runtime behavior remain outside this editorial review.
The source covers human review, custom hooks and structured output validation. It distinguishes configurable application behavior from guarantees the framework does not provide.
Developers adding approval or validation to LangChain tool calls.
A displayed approval message is not a gate unless execution actually pauses. Resume state and retries can repeat effects if operation boundaries are poorly designed.
Unknown; inspect source requirements and supporting scripts.
Inspect the pinned source snapshot and its supporting files first. The command selects this skill through the open-source skills CLI. Node.js and agent-specific setup may be required. Installation can download code. Catalog ingestion never executes skill instructions or install scripts.
npx skills add https://github.com/langchain-ai/langchain-skills/tree/126c384d8552dcb476b226c244172186cc3f4328/config/skills/langchain-middleware --skill langchain-middlewareReview pinned skill folder ↗ · CLI documentation ↗
After source review, use npx skills check and npx skills update to inspect and apply upstream updates. Re-check changed instructions before running them.
Static review only. This is not a security audit or a guarantee of safety.
SKILL.md text only; scripts, dependencies and runtime behavior not audited.
No configured text patterns matched. Unmatched or concealed behavior can still exist.
Allowed tools declaration: Unknown. Runtime permissions and network behavior: Unknown.
86/100 · Metadata coverage 100% · Model 1.0
Scores summarize observable discovery signals. Popularity and repository activity apply to the whole repository. Unknown runtime safety earns no certification.
Identify the protected action, configure the relevant middleware and keep validation and authorization responsibilities explicit.
Exercise approve, reject and malformed-resume paths, then inspect whether the underlying tool runs exactly when expected and whether denied actions leave state unchanged.
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Configure a Deep Agents application around its harness and supported extension points.
Choose Deep Agents storage backends according to persistence and filesystem requirements.
Coordinate Deep Agents tasks with explicit delegation, planning and approval boundaries.