IB-WP-0018: stub workplan for adaptive LLM routing consumer wiring

Blocked stub that names the dependency on llm-connect WP-0004 (adaptive
cost-quality routing). Activates once T01..T03 of that workplan land
and the QualityLedger / BaselineGrader / AdaptiveRoutingPolicy APIs are
stable.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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---
id: IB-WP-0018
type: workplan
title: "Adaptive LLM Routing — infospace-bench Consumer Wiring"
domain: markitect
repo: infospace-bench
status: blocked
owner: markitect
topic_slug: markitect
created: "2026-05-17"
updated: "2026-05-17"
depends_on_workplans:
- LLM-WP-0004
related_workplans:
- IB-WP-0016
---
# IB-WP-0018 — Adaptive LLM Routing — infospace-bench Consumer Wiring
## Goal
Wire `infospace-bench` workflow stages to llm-connect's adaptive
cost-quality routing once `LLM-WP-0004` ships the primitives. The goal
is to let an infospace generation run pick the cheapest model that
clears a per-stage quality bar — for example, a small/cheap model for
chunk summarisation and a larger model for entity/relation extraction
— without hardcoding any specific model in `infospace-bench` itself.
This workplan is a stub until `LLM-WP-0004` tasks T01..T03 (ledger,
grader, adaptive policy) are done in `llm-connect`. The exact task
list will be refined once that API is stable.
## Status
Blocked on `LLM-WP-0004` T01..T03.
## Why this is a separate workplan
`IB-WP-0016` brings the Lefevre EPUB pipeline to a state where a
chapter-by-chapter live OpenRouter run is feasible. That work uses
`OpenRouterAssistedGenerationAdapter` directly. Replacing that direct
adapter with a task-typed adaptive route is a meaningful architectural
shift that deserves its own scope, baseline, and tests, rather than
being absorbed into IB-WP-0016.
## Provisional Tasks (refined when LLM-WP-0004 lands)
### T01 — Task-type taxonomy
- Name the generation stages as task types for routing
(`summarize-source`, `extract-entities`, `extract-relations`,
`evaluate-entity`, `synthesize-report`)
- Document quality expectations for each task type so a per-stage
quality floor can be set
### T02 — Adapter swap
- Introduce a small router-aware adapter that wraps
`AdaptiveRoutingPolicy.resolve(task_type)` and exposes the existing
`AssistedGenerationAdapter` protocol used by `workflow.py`
- Keep `OpenRouterAssistedGenerationAdapter` available as the static
baseline so deterministic test runs and fixture mode continue to work
### T03 — Baseline + shadow integration
- Use `ClaudeCodeAdapter` as the default baseline grader (subject to
availability)
- Enable `ShadowingAdapter` for the first multi-chapter run so the
quality ledger fills up while real generation proceeds
### T04 — Cost/quality reporting
- Surface per-stage chosen adapter, observed quality, and cumulative
cost in `reports/generation-summary.md`
- Add a small CLI helper to print the ledger summary for an infospace
### T05 — Tests
- Fixture-backed test that routes through a deterministic adaptive
policy with mocked observations
- Regression test that demonstrates the static path still works when
the router is bypassed
## Acceptance
- An infospace generation run can be configured to use the adaptive
router without any code change inside `workflow.py`
- A multi-chapter Lefevre run completes with per-stage adapter choices
recorded in the generation summary
- The fixture-mode test suite continues to pass with no live calls
- The static `OpenRouterAssistedGenerationAdapter` path remains usable
for callers that opt out of the router
## Non-Goals
- Authoring the routing primitives themselves (that is `LLM-WP-0004`'s
job)
- Owning a task-type taxonomy beyond `infospace-bench` workflow stages
- Embedding cost or quality observations inside `infospace-bench`
beyond what the llm-connect ledger already records