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langgraph-backend-contract
Design and review LangGraph backend contracts. Use when creating or changing graph state, nodes, edges, reducers, commands, sends, checkpoints, runtime events, provider adapters, tool adapters, prompts, terminal states, or resumable workflows.
Overview
Design and review LangGraph backend contracts. Use when creating or changing graph state, nodes, edges, reducers, commands, sends, checkpoints, runtime events, provider adapters, tool adapters, prompts, terminal states, or resumable workflows.
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LangGraph Backend Contract
Skill Interface
- Name: langgraph-backend-contract.
- Description: Design and review LangGraph backend contracts for graph state, nodes, edges, reducers, commands, sends, checkpoints, runtime events, provider adapters, tool adapters, prompts, terminal states, and resumable workflows.
- Parameters: Graph state fields, node and edge contracts, reducer behavior, checkpoint and resume requirements, tool or provider schemas, runtime event shape, prompt-sensitive behavior, terminal states, and verification scenarios.
- Instructions: Use this skill before creating or changing LangGraph backend behavior. Keep state serializable, validate model and tool outputs before writing state, isolate provider-specific logic, emit structured runtime events, and verify resumability plus terminal-state invariants.
LangGraph backend work must preserve graph state contracts, resumability, tool boundaries, and terminal-state behavior. Treat model output and tool output as untrusted until validated.
Graph Rules
- Keep graph state JSON serializable.
- Do not store clients, streams, sockets, functions, abort controllers, raw responses, credentials, or other non-serializable objects in state.
- Define owner, default value, reducer behavior, readers, and checkpoint impact for every new state field.
- Do not assume a node runs only once.
- External side effects need idempotency and resume behavior.
- Terminal states must not return to running.
Node and Edge Rules
- Route by structured values, not by matching natural-language prose.
- Keep node inputs and outputs explicit.
- Validate model and tool outputs before writing them into state.
- Use stable machine identifiers for graph ids, node names, event types, tool names, error codes, and terminal statuses.
- Avoid importing concrete provider logic into generic graph contracts.
Tool and Provider Boundaries
- Tool arguments are untrusted until validated.
- Tool results should use typed structured output with schema versions when consumed across layers.
- Provider adapters should isolate provider-specific response formats.
- Models must not decide unchecked paths, hosts, URLs, commands, permissions, or credential use.
- Tool and MCP-like capabilities should be deny-by-default.
Runtime Events
Emit structured runtime events for observable workflow progress:
- Graph started.
- Node started and completed.
- Tool started and completed.
- Retry attempted.
- Context built.
- Partial answer emitted.
- Terminal state reached.
- Error or cancellation recorded.
Include correlation identifiers when available, such as run id, thread id, graph id, node name, tool call id, provider, duration, retry count, terminal status, and error code.
Prompt and Model Output Rules
- Prompt changes are code changes.
- Add golden cases or regression fixtures for prompt-sensitive behavior.
- Use schema validation for structured model output.
- Do not patch missing product capability with prompt wording.
- Distinguish deterministic tests, mocked provider tests, and live smoke tests.
Verification
Test graph success, invalid model output, invalid tool output, no-tool path, wrong-tool path, retry, timeout, cancellation, resume from checkpoint, duplicate node execution, and terminal-state invariants.
File metadata
name: langgraph-backend-contract description: Design and review LangGraph backend contracts. Use when creating or changing graph state, nodes, edges, reducers, commands, sends, checkpoints, runtime events, provider adapters, tool adapters, prompts, terminal states, or resumable workflows.
View original text
--- name: langgraph-backend-contract description: Design and review LangGraph backend contracts. Use when creating or changing graph state, nodes, edges, reducers, commands, sends, checkpoints, runtime events, provider adapters, tool adapters, prompts, terminal states, or resumable workflows. --- # LangGraph Backend Contract ## Skill Interface - Name: langgraph-backend-contract. - Description: Design and review LangGraph backend contracts for graph state, nodes, edges, reducers, commands, sends, checkpoints, runtime events, provider adapters, tool adapters, prompts, terminal states, and resumable workflows. - Parameters: Graph state fields, node and edge contracts, reducer behavior, checkpoint and resume requirements, tool or provider schemas, runtime event shape, prompt-sensitive behavior, terminal states, and verification scenarios. - Instructions: Use this skill before creating or changing LangGraph backend behavior. Keep state serializable, validate model and tool outputs before writing state, isolate provider-specific logic, emit structured runtime events, and verify resumability plus terminal-state invariants. LangGraph backend work must preserve graph state contracts, resumability, tool boundaries, and terminal-state behavior. Treat model output and tool output as untrusted until validated. ## Graph Rules - Keep graph state JSON serializable. - Do not store clients, streams, sockets, functions, abort controllers, raw responses, credentials, or other non-serializable objects in state. - Define owner, default value, reducer behavior, readers, and checkpoint impact for every new state field. - Do not assume a node runs only once. - External side effects need idempotency and resume behavior. - Terminal states must not return to running. ## Node and Edge Rules - Route by structured values, not by matching natural-language prose. - Keep node inputs and outputs explicit. - Validate model and tool outputs before writing them into state. - Use stable machine identifiers for graph ids, node names, event types, tool names, error codes, and terminal statuses. - Avoid importing concrete provider logic into generic graph contracts. ## Tool and Provider Boundaries - Tool arguments are untrusted until validated. - Tool results should use typed structured output with schema versions when consumed across layers. - Provider adapters should isolate provider-specific response formats. - Models must not decide unchecked paths, hosts, URLs, commands, permissions, or credential use. - Tool and MCP-like capabilities should be deny-by-default. ## Runtime Events Emit structured runtime events for observable workflow progress: - Graph started. - Node started and completed. - Tool started and completed. - Retry attempted. - Context built. - Partial answer emitted. - Terminal state reached. - Error or cancellation recorded. Include correlation identifiers when available, such as run id, thread id, graph id, node name, tool call id, provider, duration, retry count, terminal status, and error code. ## Prompt and Model Output Rules - Prompt changes are code changes. - Add golden cases or regression fixtures for prompt-sensitive behavior. - Use schema validation for structured model output. - Do not patch missing product capability with prompt wording. - Distinguish deterministic tests, mocked provider tests, and live smoke tests. ## Verification Test graph success, invalid model output, invalid tool output, no-tool path, wrong-tool path, retry, timeout, cancellation, resume from checkpoint, duplicate node execution, and terminal-state invariants.
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Review before install: Avoid automatic install
License: MIT
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Low GitHub adoption signal
- AI review approval is missing
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 28 GitHub stars
- Stars/forks activity: 28 stars, 0 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Review status: AI review approval is missing
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Source & usage notes
IndexedStatic Checked
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
- Source repository
- HsienW/ai-agent-engineering-playbook
- License
- MIT
- Version
- Unknown
- Last GitHub push
- Sep 6, 2026
- Registry updated
- Sep 12, 2026
Version reported in registry metadata; check source releases before relying on it.
Quality
56/100
Promising
Trust
61/100
Sandbox only
Audit
72/100
Needs review
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Low GitHub adoption signal
- AI review approval is missing
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 28 GitHub stars
- Stars/forks activity: 28 stars, 0 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Review status: AI review approval is missing
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}For the creator
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