generated from coulomb/repo-seed
tegwick
13f9c1895c
Replace generate plan's full-prompt dump with a compact summary that reports selected-chunk counts, selected chapter numbers, per-workflow call counts, prompt-word and token estimates, and a rough USD cost when --cost-per-1k is supplied. Selection filters --chapter (label or number, repeatable), --from-chapter / --to-chapter (numeric range), and --chunk (repeatable id) shape the estimate. Budget caps --max-calls and --cost-cap are reported as exceeds_* booleans so callers can fail fast before run. The old full per-workflow plan with prompts remains available behind --full so deep inspection is opt-in instead of the default. Whole-Lefevre estimate at default max_words=800: 146 chunks, 730 calls, ~518k prompt tokens, ~$155 at $0.30/1k. Chapters 3-5 only: 19 chunks, 95 calls, ~64k tokens. 87 tests pass. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
102 lines
3.5 KiB
Markdown
102 lines
3.5 KiB
Markdown
---
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id: IB-WP-0018
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type: workplan
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title: "Adaptive LLM Routing — infospace-bench Consumer Wiring"
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domain: markitect
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repo: infospace-bench
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status: blocked
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owner: markitect
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topic_slug: markitect
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created: "2026-05-17"
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updated: "2026-05-17"
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depends_on_workplans:
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- LLM-WP-0004
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related_workplans:
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- IB-WP-0016
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state_hub_workstream_id: "3d38642e-9d6d-4c7f-869f-b185a00bd0e6"
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---
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# IB-WP-0018 — Adaptive LLM Routing — infospace-bench Consumer Wiring
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## Goal
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Wire `infospace-bench` workflow stages to llm-connect's adaptive
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cost-quality routing once `LLM-WP-0004` ships the primitives. The goal
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is to let an infospace generation run pick the cheapest model that
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clears a per-stage quality bar — for example, a small/cheap model for
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chunk summarisation and a larger model for entity/relation extraction
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— without hardcoding any specific model in `infospace-bench` itself.
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This workplan is a stub until `LLM-WP-0004` tasks T01..T03 (ledger,
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grader, adaptive policy) are done in `llm-connect`. The exact task
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list will be refined once that API is stable.
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## Status
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Blocked on `LLM-WP-0004` T01..T03.
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## Why this is a separate workplan
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`IB-WP-0016` brings the Lefevre EPUB pipeline to a state where a
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chapter-by-chapter live OpenRouter run is feasible. That work uses
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`OpenRouterAssistedGenerationAdapter` directly. Replacing that direct
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adapter with a task-typed adaptive route is a meaningful architectural
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shift that deserves its own scope, baseline, and tests, rather than
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being absorbed into IB-WP-0016.
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## Provisional Tasks (refined when LLM-WP-0004 lands)
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### T01 — Task-type taxonomy
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- Name the generation stages as task types for routing
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(`summarize-source`, `extract-entities`, `extract-relations`,
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`evaluate-entity`, `synthesize-report`)
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- Document quality expectations for each task type so a per-stage
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quality floor can be set
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### T02 — Adapter swap
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- Introduce a small router-aware adapter that wraps
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`AdaptiveRoutingPolicy.resolve(task_type)` and exposes the existing
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`AssistedGenerationAdapter` protocol used by `workflow.py`
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- Keep `OpenRouterAssistedGenerationAdapter` available as the static
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baseline so deterministic test runs and fixture mode continue to work
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### T03 — Baseline + shadow integration
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- Use `ClaudeCodeAdapter` as the default baseline grader (subject to
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availability)
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- Enable `ShadowingAdapter` for the first multi-chapter run so the
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quality ledger fills up while real generation proceeds
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### T04 — Cost/quality reporting
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- Surface per-stage chosen adapter, observed quality, and cumulative
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cost in `reports/generation-summary.md`
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- Add a small CLI helper to print the ledger summary for an infospace
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### T05 — Tests
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- Fixture-backed test that routes through a deterministic adaptive
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policy with mocked observations
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- Regression test that demonstrates the static path still works when
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the router is bypassed
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## Acceptance
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- An infospace generation run can be configured to use the adaptive
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router without any code change inside `workflow.py`
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- A multi-chapter Lefevre run completes with per-stage adapter choices
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recorded in the generation summary
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- The fixture-mode test suite continues to pass with no live calls
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- The static `OpenRouterAssistedGenerationAdapter` path remains usable
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for callers that opt out of the router
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## Non-Goals
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- Authoring the routing primitives themselves (that is `LLM-WP-0004`'s
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job)
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- Owning a task-type taxonomy beyond `infospace-bench` workflow stages
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- Embedding cost or quality observations inside `infospace-bench`
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beyond what the llm-connect ledger already records
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