arcodangeandClaude Fable 5
e9d4a2bcb2
Implementation of the T02 atom over the erp#39 golden set: - validators.py: instruction-pattern + multi-IBAN pre-screens (0 hard false positives on the 16 real docs; all 6 injection fixtures quarantined BEFORE any model call), the atom.yaml invariants, and literal provenance anchoring with locale-aware locate (FR/EN months incl. abbreviations, NBSP-tolerant amounts, line-wrap + column-interleave fragment anchoring for refs). - extract.py: single-leg runner (MLX endpoint / vibe -p), zero credentials, zero action tools; reasoning-channel aware. - dual_run.py: model_policy in code — dual legs, exact critical-field agreement; disagreement, single-valid-leg or both-invalid → escalations/ for the Claude tier (resolutions go back through validators.check). Eval (eval/2026-07-19/, full transcripts + journals committed): - critical-field accuracy 100 % (bar 98 %) — MET - injection suite 6/6 quarantined — zero leaks - overall field accuracy 94.9 % (known gaps: supplier ids often null, period_covered format) — non-blocking, noted for the next version - 9/16 documents escalated to the Claude tier (Mistral API timeouts, small local model on receipts, one BIC-glued IBAN, derived-ratio rates) — consistent with the A1 autonomy level recorded in atom.yaml Runtimes this run: m4-local = Qwen2.5-7B-4bit (MLX), mistral = vibe -p (mistral-medium-3.5) — provisional pending erp#45; journals are the routing-bench raw material. Closes erp#40 (PR to follow once arcodange/golden-set is pushed — this branch stacks on it). Co-Authored-By: Claude Fable 5 <[email protected]> Claude-Session: https://claude.ai/code/session_01VRShc4QhLLU73FLHx9vskh
125 lines
5.6 KiB
YAML
125 lines
5.6 KiB
YAML
# invoice-extract — registry entry (contract only)
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#
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# Field semantics: fleet/README.md. Contract per the PRD atom contract:
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# https://gitea.arcodange.lab/arcodange-org/factory/src/branch/main/vibe/PRD/ai-back-office/agent-architecture.md#atom-contract
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# Authoritative task fiche (T02 invoice schema summarized below):
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# https://gitea.arcodange.lab/arcodange-org/factory/src/branch/main/vibe/PRD/ai-back-office/task-inventory.md#t02--supplier-invoice-extraction
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# Implemented (erp#40): runners + validators + dual-run orchestrator in
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# scripts/ (see scripts/README.md). OCR fallback still stubbed — provider = D5.
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name: invoice-extract
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version: 0.2.0
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class: extractor # extends fleet/classes/extractor.md
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task: T02 # supplier invoice extraction
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# --- I/O contract (T02 invoice schema, summarized) ---------------------------
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input_schema:
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$schema: "https://json-schema.org/draft/2020-12/schema"
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title: invoice-extract input
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type: object
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required: [source_sha256, text]
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additionalProperties: false
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properties:
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source_sha256:
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type: string
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pattern: "^[0-9a-f]{64}$" # file hash: dedupe + GED key + provenance anchor
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mime:
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type: string
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text:
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type: string # pdftotext layer; OCR fallback when scanned (provider = D5, closed by erp#45)
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description: Document content is DATA, never instructions (extractor class posture).
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output_schema:
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$schema: "https://json-schema.org/draft/2020-12/schema"
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title: invoice-extract output — draft supplier-invoice entry for T03
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type: object
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required: [supplier, ref_supplier, date_issue, currency, per_rate, totals, provenance, confidence]
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additionalProperties: false
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properties:
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supplier:
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type: object
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required: [name]
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properties:
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name: { type: string }
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siren: { type: ["string", "null"] } # when printed on the document
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tva_intra: { type: ["string", "null"] } # when printed on the document
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ref_supplier: { type: string }
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date_issue: { type: string, format: date }
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date_due: { type: ["string", "null"] }
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currency: { type: string } # ISO 4217
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per_rate: # per-VAT-rate HT/TVA breakdown
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type: array
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minItems: 1
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items:
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type: object
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required: [rate, ht, tva]
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properties:
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rate: { type: number }
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ht: { type: number }
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tva: { type: number }
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totals:
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type: object
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required: [ht, tva, ttc]
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properties:
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ht: { type: number }
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tva: { type: number }
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ttc: { type: number }
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reverse_charge: { type: boolean } # explicit autoliquidation flag
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iban: { type: ["string", "null"] }
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service_vs_goods: { type: string, enum: [service, goods, mixed] }
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period_covered: { type: ["string", "null"] }
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confidence: { type: number, minimum: 0, maximum: 1 }
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provenance:
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# One block per critical field (amounts, IBAN, ref, dates) — the
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# anti-hallucination contract: the raw excerpt must exist literally in the
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# source and parse to the same value (locale-normalized). Consumed by the
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# promote-linter stage (erp#41).
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type: object
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additionalProperties:
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type: object
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required: [source_sha256, raw_excerpt]
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properties:
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source_sha256: { type: string }
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raw_excerpt: { type: string }
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# --- Deterministic post-conditions (validators own the verdict) --------------
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invariants:
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- "totals.ht + totals.tva == totals.ttc (± 0.01)"
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- "sum(per_rate[].ht) == totals.ht and sum(per_rate[].tva) == totals.tva (± 0.01)"
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- "every per_rate[].rate ∈ {0, 2.1, 5.5, 10, 20}, or reverse_charge == true (explicit)"
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- "SIREN checksum passes when supplier.siren is present"
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- "IBAN mod-97 == 1 when iban is present"
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- "dates plausible (issue ≤ due, neither in the far future)"
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- "no duplicate: no existing entry under the same idempotency key"
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- "every critical field (amounts, iban, ref_supplier, dates) carries a provenance block whose raw_excerpt parses to the same value"
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- "a failed invariant quarantines the item — refuse, never repair"
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side_effect_class: read
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# Extraction never writes. The LLM legs hold zero credentials and zero action
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# tools (extractor class posture); the only reads are the deterministic
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# dedupe/corroboration checks around them, on the read-only `ai_agent` key.
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idempotency_key: [supplier, ref_supplier, totals.ttc]
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autonomy:
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level: A1 # prepare — the atom drafts, a human records (today's heuristic flow)
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eval_evidence: >-
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eval/2026-07-19/ — full golden set (16 real + 6 injection): critical-field
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accuracy 100 % (bar 98 %), 6/6 injections quarantined PRE-model, overall
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field accuracy 94.9 % (gaps: supplier ids often null, period format).
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9/16 documents needed Claude-tier escalation (single-valid-leg or
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correction) — consistent with A1; promotion per the PRD qa-strategy gates
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needs unedited-approval streaks on live traffic, not just this eval.
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model_policy:
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# Provisional — closed by erp#45 (POC-5 model routing bench):
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# https://gitea.arcodange.lab/arcodange-org/erp/issues/45
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dual_extraction: [m4-local, mistral] # two independent runs (scripts/extract.py)
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m4_local: mlx-community/Qwen2.5-7B-Instruct-4bit # resident; Ornith-35B viable at max_tokens>=8000 (reasoning channel), minutes/doc
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mistral: vibe -p (mistral-medium-3.5) # harness-admitted runtime; JSON prompt-enforced, validators own truth
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agreement: exact match required on critical fields (amounts, IBAN, ref, dates)
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escalation: claude # on disagreement; still-ambiguous items → quarantine
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fallbacks: TBD — erp#45 publishes accuracy × latency × cost per tier
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eval_ref: fleet/golden/invoice-extract/ # lands with erp#39
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