2da639e59b
Feature/DAIP2-2314 DAIP2 1687 hybrid * remove -files from s3 prefix requirements * Resolve input paths * fix: VendorProcessor.process_file returns (df, None) tuple runner.safe_process_file unpacks the result as (cc_df, dashboard_df), so returning a single DataFrame caused every vendor/generic file to fail with "too many values to unpack (expected 2)" — Python iterates DataFrame columns during unpacking. Vendor pipelines have no dashboard variant; second slot is None and the existing `dashboard_result is not None` guard in runner.py already handles it. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * DAIP2-2314 + DAIP2-1687: pad DYNAMIC_PRIMARY + DYNAMIC_PRIMARY_ENTITY_CLASSIFICATION over 1024-token cache floor - Pad DYNAMIC_PRIMARY_INSTRUCTION with three new sections: [SCOPE BOUNDARIES], [SOURCE TEXT INTERPRETATION], [REASONING DISCIPLINE], plus a [WORKED EXAMPLES] block. Estimated tokens: 447 -> 1117 (Sonnet 4.5 1024-min, +93 margin). All additions reinforce existing rules (sibling-field separation, alias mapping, pricing-vs-LOB distinction, contrastive-clause exclusion, exhibit-header binding) — no new directives that could bias extraction. - Pad DYNAMIC_PRIMARY_ENTITY_CLASSIFICATION_INSTRUCTION with a [FINAL CHECKLIST BEFORE OUTPUT] block. Estimated tokens: 956 -> 1101 (Sonnet 4.5 1024-min, +77 margin). Reinforces the existing 4-step anti-duplication protocol and JSON shape requirements. - Register both new entries in cache_registry: DYNAMIC_PRIMARY_ENTITY_CLASSIFICATION as INSTRUCTION_PLUS_CONTEXT (caches at warm-up), DYNAMIC_PRIMARY_ENTITIES as CONTEXT (instruction is intentionally short; CONTEXT c… * black format fix * Merged dev into feature/DAIP2-2314-DAIP2-1687-hybrid * fixed raw lob values in base lob field mapping and composite entities fix * black format fix * fixed LOB Program output issues * issue fixes * remove debugging code * Updated prompts * updated additional instructions * Update Program-->LOB * LLM-based AD-Program/Product mapping to LOB even when there is a crosswalk * black format fix * Merged dev into feature/DAIP2-2314-DAIP2-1687-hybrid * added logging in prompt call tracking * added updated logging in prompt call tracking * aaded min cache token per usage label * added cache registry for dynamic primary mapping prompt calls * reolved mapping prompts ambiguities * black format fix * Phase 2 modifications added * reverted phase 2 modifications Approved-by: Katon Minhas
155 lines
7.9 KiB
Markdown
155 lines
7.9 KiB
Markdown
# Prompt Caching System Proposal
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Branch: `feature/DAIP2-2314-expand-caching-for-short-prompts`
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## Goal
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Ensure every stable instruction prompt that is intended to be cached is actually cacheable, warmed on the same model used at runtime, and observable in runtime logs.
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## Recommended Caching System
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1. Introduce a central prompt cache registry.
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Each cacheable prompt should be declared once with:
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- `usage_label`
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- instruction function
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- model family used at runtime
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- minimum cache token policy
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- runtime call sites
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- whether the prompt also uses `context_for_caching`
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This avoids the current split where cache warming is in `prompt_templates.get_cacheable_instructions()` but runtime model choice is scattered through prompt call sites.
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2. Enforce the 1024-token minimum before runtime.
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Prompt caching should not be treated as enabled just because `cache=True` is passed. At startup, the registry should validate every cached instruction with the same tokenizer/estimate used by reporting. If a prompt is below the minimum, it should either:
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- fail fast in a cache audit mode, or
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- automatically append approved static cache padding/instruction context until it crosses the threshold.
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The padding must be stable and domain-relevant, not dynamic request data.
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3. Warm caches per model, not globally.
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Cache entries are model-specific. The runner currently warms all instructions with `sonnet_latest`, but `SPLIT_SERVICE_TERM` runs with `haiku_latest`. The cache warming layer should warm `(usage_label, resolved_model_id)` pairs derived from the registry.
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4. Only mark supported models as cacheable.
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`_supports_prompt_cache()` currently excludes Haiku. If Haiku prompt caching is not supported in this Bedrock setup, Haiku prompts should not be registered as cached. Either move those prompt calls to `sonnet_latest` when caching matters, or keep them uncached and report them as intentionally uncached.
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5. Keep static instruction caching separate from dynamic context caching.
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Instruction prompts can be cached predictably. `context_for_caching` is different because it changes by contract, exhibit, or page. It should be tracked as a separate cache class:
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- `instruction_cache`: expected to read after warm-up
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- `context_cache`: expected to create/read per repeated context
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This prevents context variability from making instruction caching look broken.
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6. Add a cache contract test.
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A local test should inspect the built request body for every registered prompt and assert:
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- the instruction block has `cache_control`
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- the resolved model supports caching
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- the static instruction token estimate is at least 1024
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- warm-up model equals runtime model
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7. Upgrade runtime reporting.
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Add these fields to prompt-call logs:
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- `resolved_model_id`
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- `cache_policy`: `instruction`, `context`, `instruction+context`, `none`
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- `instruction_cache_eligible`
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- `context_cache_eligible`
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- `cache_miss_reason`
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This makes root cause visible without manual investigation.
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## Prompt Application Report
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### Apply Instruction Caching, Already Over 1024 Tokens
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These should remain registered and warmed. They are good candidates for strict cache contract tests.
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| Prompt | Estimated Instruction Tokens | Action |
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|---|---:|---|
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| `OUTLIER_BREAKOUT` | 2483 | Keep cached |
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| `METHODOLOGY_BREAKOUT` | 1927 | Keep cached |
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| `SPLIT_SERVICE_TERM` | 1600 | Cache only if runtime model supports caching; currently runs on Haiku |
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| `DYNAMIC_ASSIGNMENT` | 1578 | Keep cached |
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| `CARVEOUT_CHECK` | 1498 | Keep cached |
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| `SERVICE_ENRICHMENT` | 1459 | Keep cached |
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| `REIMBURSEMENT_PRIMARY` | 1390 | Keep cached |
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| `EXHIBIT_LEVEL` | 1108 | Keep cached |
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### Apply Instruction Caching After Padding/Expansion
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These are wired or partially wired but below the 1024-token minimum. They should be padded or expanded with stable domain guidance before being considered cached.
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| Prompt | Estimated Instruction Tokens | Tokens Needed | Action |
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|---|---:|---:|---|
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| `fill_bill_type` | 968 | 56 | Add small static guidance |
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| `DYNAMIC_CODE_ASSIGNMENT` | 966 | 58 | Add small static guidance |
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| `CHECK_PROVIDER_NAME_MATCH` | 957 | 67 | Add small static guidance |
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| `GROUPER_BREAKOUT` | 939 | 85 | Add small static guidance |
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| `EXHIBIT_HEADER` | 922 | 102 | Add static header examples/rules |
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| `LESSER_OF_DISTRIBUTION` | 914 | 110 | Add static decision examples |
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| `LESSER_OF_CHECK` | 900 | 124 | Add static classification examples |
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| `CODE_EXPLICIT` | 871 | 153 | Add static code-system rules |
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| `REIMB_DATES_ASSIGNMENT` | 803 | 221 | Add date extraction examples |
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| `DYNAMIC_PRIMARY` | 441 | 583 | Expand instruction substantially |
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| `SPLIT_REIMB_DATES` | 410 | 614 | Expand instruction substantially |
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| `prompt_lob_relationship` | 408 | 616 | Move field prompt into instruction or add static LOB rules |
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| `code_implicit_arbitration` | 391 | 633 | Expand arbitration rules |
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| `AARETE_DERIVED_PAYER_NAME` | 372 | 652 | Expand payer naming rules |
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| `FEE_SCHEDULE_BREAKOUT` | 352 | 672 | Expand fee schedule rules |
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| `code_implicit_special` | 329 | 695 | Expand special code rules |
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| `DATE_FIX` | 322 | 702 | Expand date normalization rules |
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| `SPECIAL_CASE_ASSIGNMENT` | 251 | 773 | Expand special case rules |
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| `DERIVED_TERM_DATE` | 247 | 777 | Expand term date rules |
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| `code_last_check` | 179 | 845 | Expand or leave uncached if low value |
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| `EXTRACT_AMENDMENT_NUM_FROM_FILENAME` | 152 | 872 | Expand or leave uncached if low value |
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| `EXHIBIT_HEADER_DEDUP` | 35 | 989 | Do not cache unless redesigned |
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### Wire for Caching or Mark Intentionally Uncached
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These showed runtime volume but no instruction function match in the audit. They need explicit registry decisions.
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| Prompt | Runtime Finding | Action |
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|---|---|---|
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| `prompt_hsc_single_field` | 109 calls, `cache_enabled=False`, large dynamic prompt | Split stable HSC instructions from dynamic chunk and cache the instruction |
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| `SPECIAL_CASE_BREAKOUT` | 6 calls, no instruction cache | Wire only if repeated volume justifies expansion |
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| `code_implicit_rag` | Cached in API, audit alias missing | Add registry alias to the actual instruction function |
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| `prompt_provider_info` | Cached in API, audit alias missing | Add registry alias to `TIN_NPI_TEMPLATE_INSTRUCTION` or rename usage label |
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| `validate_reimbursements_for_llm` | Cached in API, audit alias missing | Add registry alias to `VALIDATE_REIMBURSEMENTS_INSTRUCTION` |
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## Immediate Fixes
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1. Change `SPLIT_SERVICE_TERM` to use a cache-supported model or mark it intentionally uncached. Current behavior is misleading: `cache=True` is passed, but no Bedrock cache tokens are recorded.
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2. Add a registry alias map for usage labels that do not match instruction names:
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- `code_implicit_rag` -> `CODE_IMPLICIT`
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- `prompt_provider_info` -> `TIN_NPI_TEMPLATE`
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- `validate_reimbursements_for_llm` -> `VALIDATE_REIMBURSEMENTS`
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- `prompt_lob_relationship` -> its real instruction function
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3. Expand the near-threshold instructions first because they need the least work and have current evidence of API cache reads:
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- `fill_bill_type`
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- `DYNAMIC_CODE_ASSIGNMENT`
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- `CHECK_PROVIDER_NAME_MATCH`
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- `GROUPER_BREAKOUT`
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- `EXHIBIT_HEADER`
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- `LESSER_OF_DISTRIBUTION`
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- `LESSER_OF_CHECK`
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- `CODE_EXPLICIT`
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4. Redesign `prompt_hsc_single_field` into `(instruction, prompt)` form. It is high-volume and currently sends all prompt text dynamically.
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## Expected Behavior After Fix
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For instruction-only prompts, after warm-up the API should report cache reads on normal calls. The cached percentage will still not be 100% of total billed input because the dynamic user prompt remains uncached. The correct target is:
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- `cache_creation_tokens` only during warm-up or first uncached use
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- `cache_read_tokens > 0` on every eligible runtime call
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- `cache_miss_reason` empty for registered instruction cache prompts
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For context-cached prompts, 100% cache reads should not be expected unless the same context block repeats. The report should evaluate those separately.
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