NVIDIA-NeMo / NVIDIA-NeMo/Switchyard

routing: make system prompts follow answer targets

Open
#496 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Rust
Stars
3.2k
Forks
291
Avg merge
1d 8h
Merged PRs (30d)
182

Description

Linear: SWITCH-1253

Problem

A client calls a Switchyard route without knowing which upstream model will answer. Those models may need different standing system instructions.

Today this is only configurable through Stage and Composite route fields such as efficient_system_prompt and capable_system_prompt. Other routers do not have the same configuration surface.

Fallback also matters. If a route selects fast and that target fails, the request sent to capable must receive the capable prompt. It cannot reuse a request already prepared for fast.

Proposed interface

Allow the prompt to be configured on a target:

[targets.fast]
id = "meta/llama-small"
llm_client = "together"
system_prompt = "Be concise."

[targets.capable]
id = "meta/llama-large"
llm_client = "together"
system_prompt = "Reason carefully."

[routes.agent]
id = "switchyard/agent"
type = "stage_router"
efficient_target = "fast"
capable_target = "capable"

The prompt should follow the answer target rather than the router type. Judge, classifier, and reviewer calls should remain unchanged.

Implementation

  • Translation owns the model and prompt mutation for one request.
  • libsy remains provider-neutral and does not carry answer-call or request-preparation state.
  • libsy-llm-client distinguishes routing dependencies from completion candidates and prepares each selected or fallback candidate immediately before it is called.
  • The native runner builds the effective prompt map from [targets.*].system_prompt.

This keeps provider request mutation out of libsy and prevents one candidate's prompt from leaking into a fallback.

Compatibility

  • Existing configuration without target prompts behaves as before.
  • Native Stage and Composite configuration must move capable_system_prompt and efficient_system_prompt to [targets.*].system_prompt.
  • Direct libsy and Python Stage prompt configuration remain unchanged.
  • Routing decisions, retry behavior, and fallback order do not change.

Pull requests

  • #455: request preparation helper, merged
  • #463: completion-candidate preparation at the client boundary
  • #464: target configuration, tests, and docs

Done when

  • Every built-in client-visible answer path uses the selected target's prompt.
  • Each fallback is prepared independently.
  • Existing caller instructions are preserved after the target prompt.
  • Judge, classifier, and reviewer calls remain unprompted.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reading PRs #455, #463, and #464, then trace how libsy-llm-client prepares completion candidates and how the native runner builds the effective target prompt map. Verify each selected or fallback answer target is prepared independently, caller instructions remain intact, and judge, classifier, and reviewer calls stay unchanged.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, rust
Domain
api, backend
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Clearly specified
Newbie friendliness
35/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.