Provider Codecs

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This page explains how codecs fit into the shared NeMo Relay runtime contract.

Overview

A provider codec translates provider-native LLM request and response payloads into annotated Relay data. Middleware and observability can then work with consistent fields without taking control of provider execution. Refer to Provider Payload Normalization for implementation guidance.

NeMo Relay also supports typed value codecs, which translate application objects at a public wrapper API.

Key Features

Provider codecs handle:

  • Provider-native LLM request and response payloads
  • Request middleware that needs normalized instructions, messages, tools, or generation controls
  • Events, subscribers, and exporters that need normalized response facts

Without provider codecs, request middleware and observability would need to parse every provider payload directly.

Provider Request and Response Codecs

Provider codecs translate provider-native LLM payloads in the request and response halves of a provider call. First, request codecs decode provider requests into annotated request data for request intercepts and request-side middleware, then encode edits back into the provider payload when execution continues. Later, after the provider returns, response codecs decode provider responses into annotated response data for LLM end events, subscribers, exporters, and diagnostics.

Use provider codecs when:

  • Provider payloads differ structurally.
  • Request intercepts need consistent request fields.
  • Response annotations such as usage, model names, or tool calls should be exposed through consistent fields for downstream consumers.

Request Path

The following diagram shows the request path.

Response Path

The following diagram shows the response path.

Response decoding improves observability and downstream consistency. It does not automatically change the value returned to the application unless a separate typed value codec also does so.

The built-in request codecs are lossless patch codecs. For an unchanged annotation, the following identity holds at the JSON-value level:

encode(decode(original), original) == original

Encoding compares the edited annotation with a freshly decoded baseline and patches only fields that changed. This preserves caller-selected forms such as string content versus content blocks, explicit null values, legacy field names, ordered input items, metadata, and unknown fields. Removing a key from top-level extra removes that unknown key from the provider request; adding or changing a key overlays it.

AnnotatedLlmRequest separates portable and provider-specific data:

  • instructions represents Anthropic system and OpenAI Responses instructions.
  • messages, content parts, function calls and results, tools, and tool choice expose portable components when the provider formats have equivalent meaning.
  • api_specific is a tagged, mutable field for modeled Anthropic Messages, OpenAI Chat Completions, OpenAI Responses, or Gemini generateContent controls. Response annotations use the same pattern for provider-only metadata, including Gemini generateContent thinking tokens.
  • Provider-only messages, content blocks, input items, tools, and tool choices use { provider, kind, value }, where value is the exact native JSON.
  • Top-level extra preserves unknown or unmodeled fields.

A provider-native component can only be encoded by the provider API named in its provider field. Provider mismatches and portable edits that the target API cannot represent fail before the provider callback.

Preservation Is Not Semantic Support

Provider APIs can add fields or change semantics before Relay’s built-in codecs are updated. The lossless patch contract preserves unknown fields and provider-native components when they are unchanged, which keeps newer payloads from being discarded. That pass-through behavior does not mean Relay understands, validates, or can portably edit those fields.

Semantic support is limited to the provider fields modeled by the current codec implementation. New provider behavior requires a codec and test update before middleware or exporters should rely on its normalized meaning.

Typed Value Codecs

Typed value codecs serve a different purpose. They translate application-facing objects to and from JSON-compatible values when application code or framework callbacks need native types but Relay events and middleware need a stable serialized payload. Refer to Using Codecs for implementation guidance.

Where Normalized Data Is Used

Several parts of Relay use normalized codec output:

  • Request intercepts or request-side middleware that need consistent request fields
  • Lifecycle events that should expose consistent semantic payloads
  • Subscribers that inspect runtime activity in process
  • Exporters that write raw ATOF events or project them into ATIF or typed OpenTelemetry output

Codecs do not replace scopes, middleware, subscribers, or plugins. They make those layers easier to apply consistently across provider-specific inputs.

Extraction Responsibilities

NeMo Relay separates extraction responsibilities so normalization logic can be reused without changing public binding APIs.

Provider Schema Extraction

Provider codecs extract provider schema fields. The built-in codecs for OpenAI Chat Completions, OpenAI Responses, Anthropic Messages, and Gemini generateContent recognize their request and response payloads and map them into AnnotatedLlmRequest or AnnotatedLlmResponse.

When a managed LLM event already has an annotation, subscribers and exporters consume that annotation. When an event has only raw provider JSON, best-effort normalization can detect a built-in provider codec and decode it. This fallback is fail-open: unrecognized, ambiguous, missing, sparse, or invalid payloads remain observable as raw lifecycle data. A recognized provider hint can disambiguate an otherwise identical request payload, such as an Anthropic Messages request without a top-level system field, but no provider annotation is invented without either a matching provider codec or a recognized hint.

Provider extraction covers model names, instructions, messages, generation parameters, tool definitions, tool calls, finish reasons, usage, cost, provider-specific fields, and replayable request or response JSON when the source payload contains enough information. Provider codecs preserve unknown fields and treat request encoding as a baseline-aware patch over the original provider payload.

The response-extraction interface is the existing response codec contract: LlmResponseCodec::decode_response returns AnnotatedLlmResponse. Built-in codecs populate that normalized response with model, finish reason, tool-call, usage, cost, provider-specific, and preserved extra fields. Cost parsing and estimation helpers are codec implementation details behind that interface, not a separate provider-response API.

Gateway Request Extraction

The gateway extracts route-specific request facts. It uses the selected route, such as OpenAI Responses, OpenAI Chat Completions, OpenAI Models, Anthropic Messages, or Anthropic Count Tokens, to extract request facts that are not codec schema annotations.

Route-specific request extractors resolve gateway session IDs, request-affinity keys, and fallback turn input for provider calls that arrive before the matching agent prompt hook. This keeps correlation and routing hints in the gateway routing logic, while provider codecs stay focused on request and response schemas.

Provider request extraction can also pass a narrow provider hint into codec normalization. For example, the recognized anthropic and anthropic.messages hints let Anthropic Messages requests without a top-level system field decode through the Anthropic codec instead of being inferred as OpenAI Chat payloads from their fields alone.

The nemo-relay gateway always enables matching OpenAI Chat, OpenAI Responses, and Anthropic Messages request codecs for the provider generation routes it proxies: /v1/messages, /v1/chat/completions, and /v1/responses, for both buffered and streaming execution. Gemini generateContent does not yet have a gateway route, so GeminiGenerateContentCodec is available for direct framework use rather than gateway auto-selection. Count-token, model, probe, and non-LLM passthrough routes do not enable request codecs automatically. Gateway request intercepts must therefore edit generation bodies through annotated_request; raw request.content remains writable on routes without a request codec.

Agent Payload Extraction

Agent payload extraction is separate from provider codecs. Coding agents, harnesses, and framework hooks can expose session IDs, event names, subagent relationships, tool IDs, tool names, tool arguments, tool results, LLM hints, and status fields through host-specific payload formats. These facts help NeMo Relay attach lifecycle events to the right scope, but they do not decode provider schemas or build request-affinity keys from provider requests.

Agent extraction may be partial. Missing identifiers use compatibility fallbacks in the adapter, such as synthetic session IDs, synthetic tool call IDs, an explicit unknown_tool name, or a generic subagent ID. Lossy, summary-only, or truncated payloads should keep their original payload and metadata available for debugging instead of presenting them as complete provider data.

Exporter Projection

Exporter projection is the final step. ATIF and the typed OpenTelemetry projections can map the same normalized facts into different output schemas, but generic extraction should stay outside exporter-specific formatting where possible. ATIF-specific trajectory shaping and each OpenTelemetry projection’s semantic attributes remain exporter-local.

Codec Decision Limitations

Codecs do not decide:

  • Which scope owns the call
  • Middleware ordering
  • Whether execution is allowed to continue
  • Which exporter is active

Those responsibilities belong to scopes, middleware, plugins, and exporter or subscriber registration.