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nemo-relay-instrument-typed-wrappers

Guides typed data integration in NeMo Relay by choosing codecs, converters between application values and JSON. Helps preserve middleware edits and caller-visible responses while distinguishing application data conversion from provider-specific LLM request and response handling.

中文简介正在准备中。当前显示英语简介。

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Use this skill when adding NeMo Relay typed wrappers, domain types, or provider codecs while preserving JSON middleware semantics and caller-visible behavior.

集成工具OpenAI
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适用场景

  • Connecting existing domain models to NeMo Relay
  • Choosing codecs for Python or Node.js
  • Making provider payloads inspectable by middleware
  • Checking that serialization preserves middleware edits

包含的文件(5)

  • SKILL.md3.4 KB
  • BENCHMARK.md3.8 KB
  • evals/evals.json5.0 KB
  • skill-card.md3.9 KB
  • skill.oms.sig4.5 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Use Typed Wrappers And Codecs

Use this skill when an application wants stronger domain types than raw JSON for tool or LLM integration. Keep typed boundaries explicit so middleware still sees predictable JSON.

Default Guidance

  • Prefer plain JSON first for initial adoption.
  • Reach for typed wrappers when the application already has stable domain models.
  • Keep in mind that middleware still operates on JSON, not typed objects.

Embedded Codec Model

  • A typed value codec is a pure boundary translator. It converts application-facing values to JSON before NeMo Relay emits events or runs middleware, then converts JSON back into the framework callback or caller type.
  • Python exposes JsonPassthrough, DataclassCodec, PydanticCodec, and BestEffortAnyCodec. Node.js exposes JsonPassthrough plus custom Codec<T> implementations.
  • Use BestEffortAnyCodec only at boundaries where strict schemas are not available. Prefer dataclass, Pydantic, or explicit Node.js codecs when the framework owns a stable schema.
  • Provider codecs are different from typed value codecs: they normalize provider-specific LLM requests and responses so middleware and subscribers can inspect messages, tools, model names, generation parameters, and response annotations.
  • Built-in provider codecs include OpenAIChatCodec, OpenAIResponsesCodec, and AnthropicMessagesCodec in Python, Node.js, and Rust. Choose the codec that matches the actual provider payload shape.
  • Response codecs annotate LLM end events with fields such as id, model, message, tool_calls, finish_reason, usage, provider-specific data, and extra unmodeled fields. They do not rewrite the caller-visible response.
  • Request codecs run before LLM request intercepts. Intercepts receive both the raw LLMRequest and optional annotated request; encode merges annotated edits back before execution intercepts and the provider callback run.

Key Rules

  • Typed wrappers are currently a first-class path for Python and Node.js; Rust uses codec traits directly
  • Request/response conversion belongs in codecs
  • Intercepts and guardrails see JSON values after encoding
  • Changes made by middleware survive into the decode step

Choose A Codec

  • JsonPassthrough for JSON-native values
  • DataclassCodec or PydanticCodec in Python when the models already exist
  • Custom codecs for domain-specific wire shapes
  • BestEffortAnyCodec only when broad flexibility is worth the looser contract
  • Provider codecs for LLM provider payloads, not application domain objects conversion

Validation Checklist

  • Codec output is JSON-compatible
  • Required fields survive toJson/fromJson or decode/encode
  • Middleware sees the expected serialized shape
  • Provider codecs preserve fields they do not understand
  • Response codec failures do not break the underlying LLM call
  • Request codec encode preserves original provider fields unless an intercept intentionally changes them

Related Skills

  • nemo-relay-instrument-calls
  • nemo-relay-plugin-observability
  • nemo-relay-debug-runtime-integration

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