Research-Stack/shared-data/schemas/deepseek-review-receipt.schema.json
Devin AI 87960676b4 Add math-first tooling: receipt schema, claims registry, pre-commit, CI, MCP
Adds automated guardrails so mathematical rigor is enforced by tooling
instead of by convention. See docs/math-first-tooling.md for the full
contract.

Schemas + registry:
- shared-data/schemas/deepseek-review-receipt.schema.json
  Draft 2020-12 schema for the existing ollama_deepseek_review_receipt_v1
  and ollama_deepseek_review_continuation_receipt_v1 receipt formats. Pins
  sha256:<hex> hashes, non-negative token counts, repo-relative POSIX
  paths, and rejects additional fields.
- shared-data/schemas/claims-registry.schema.json
  Schema for claims.yaml. Requires review_receipts when status is
  verified-by-ai and a lean source when status is formally-proven.
- claims.yaml
  Initial registry entry: prime-gap-entropy-collapse (verified-by-ai)
  linked to the two existing receipts under
  shared-data/artifacts/deepseek_review/.

Validators (scripts/math-first/):
- validate_deepseek_receipts.py: validates tracked or passed receipts
  against the JSON Schema; shared by pre-commit and CI.
- test_validate_deepseek_receipts.py: positive + 7 negative fixtures
  asserting exit-code behaviour.
- validate_claims_registry.py: schema check + unique id check + on-disk
  existence check for every referenced repo-relative path.
- require_math_evidence.py: gate that requires a DeepSeek receipt, a
  Lean change, or a claims.yaml update alongside edits to math-track
  surfaces (Lean Semantics kernels, ArithmeticSpec docs, stack
  solidification receipts).

Pre-commit (.pre-commit-config.yaml):
- check-json, check-yaml, end-of-file-fixer, trim trailing whitespace,
  detect-private-key (scoped to math-first files only per AGENTS.md
  Do Not Sweep).
- Local hooks wiring all three math-first validators above.

CI (.github/workflows/math-check.yml):
- validate-schemas: compiles every schema, runs both validators, runs
  the validator self-tests, then re-invokes the canonical Ollama
  emitter in --verify-only mode against every tracked receipt to
  re-check answer_sha256 against the answer-file bytes on disk.
- require-evidence: enforces the math-track evidence rule at PR scope.
- pre-commit: runs all pre-commit hooks against the PR diff so the
  contract holds even for contributors who skip installing hooks
  locally.

MCP (.mcp.json):
- filesystem, sympy, wolfram-alpha, lean, deepseek-review entries
  pointing at off-the-shelf upstream servers and at the canonical
  ollama_deepseek_review_emitter.py. Secrets stay in the runtime env
  (WOLFRAM_ALPHA_APPID, OLLAMA_API_KEY) and are never embedded.

Docs (docs/math-first-tooling.md):
- Philosophy, surfaces, schema reference, registry workflow, hook
  catalogue, CI catalogue, MCP catalogue, end-to-end verify command.

shared-data/schemas/*.schema.json and claims.yaml live under paths the
top-level .gitignore would normally exclude; they are force-added via
git add -f the same way existing promoted receipts under
shared-data/artifacts/deepseek_review/ are tracked (per AGENTS.md).

Co-Authored-By: Allaun Silverfox <bigdataiscoming+9i37y6j2@protonmail.com>
2026-05-12 04:25:52 +00:00

134 lines
5 KiB
JSON

{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://github.com/allaunthefox/Research-Stack/shared-data/schemas/deepseek-review-receipt.schema.json",
"title": "DeepSeek Review Receipt",
"description": "Schema for Ollama-compatible DeepSeek review receipts emitted by 5-Applications/tools-scripts/llm/ollama_deepseek_review_emitter.py. Receipts are paired with a sibling markdown answer file and pin the exact model, endpoint, token usage, and SHA-256 hashes needed to re-validate the review without re-running the model. See 6-Documentation/wiki/DeepSeek-Review-Process.md for the human-readable contract.",
"type": "object",
"oneOf": [
{ "$ref": "#/$defs/primaryReceipt" },
{ "$ref": "#/$defs/continuationReceipt" }
],
"$defs": {
"sha256Hash": {
"type": "string",
"pattern": "^sha256:[0-9a-f]{64}$",
"description": "Lowercase hex SHA-256 digest prefixed with the literal 'sha256:'."
},
"isoTimestamp": {
"type": "string",
"format": "date-time",
"description": "ISO-8601 UTC timestamp (e.g. 2026-05-12T03:35:51+00:00)."
},
"endpoint": {
"type": "string",
"format": "uri",
"description": "API endpoint that served the review (e.g. https://ollama.com/v1/chat/completions)."
},
"model": {
"type": "string",
"minLength": 1,
"description": "Model identifier (e.g. deepseek-v3.2, deepseek-v4-flash)."
},
"repoRelativePath": {
"type": "string",
"minLength": 1,
"pattern": "^[^/].*",
"description": "Repo-relative POSIX path (must not start with '/')."
},
"usage": {
"type": "object",
"description": "Token usage as reported by the endpoint.",
"required": ["prompt_tokens", "completion_tokens", "total_tokens"],
"additionalProperties": false,
"properties": {
"prompt_tokens": { "type": "integer", "minimum": 0 },
"completion_tokens": { "type": "integer", "minimum": 0 },
"total_tokens": { "type": "integer", "minimum": 0 }
}
},
"primaryReceipt": {
"type": "object",
"description": "Primary review receipt: written first, pins context files used to build the prompt.",
"required": [
"schema",
"created_at",
"model",
"endpoint",
"prompt_sha256",
"answer_sha256",
"usage",
"context_files",
"answer_path"
],
"additionalProperties": false,
"properties": {
"schema": { "const": "ollama_deepseek_review_receipt_v1" },
"created_at": { "$ref": "#/$defs/isoTimestamp" },
"model": { "$ref": "#/$defs/model" },
"endpoint": { "$ref": "#/$defs/endpoint" },
"prompt_sha256": { "$ref": "#/$defs/sha256Hash" },
"answer_sha256": { "$ref": "#/$defs/sha256Hash" },
"usage": { "$ref": "#/$defs/usage" },
"context_files": {
"type": "array",
"minItems": 1,
"uniqueItems": true,
"items": { "$ref": "#/$defs/repoRelativePath" },
"description": "Repo-relative paths to every file that participated in the review prompt context."
},
"answer_path": {
"allOf": [
{ "$ref": "#/$defs/repoRelativePath" },
{ "pattern": "\\.md$" }
],
"description": "Repo-relative path to the answer markdown."
}
}
},
"continuationReceipt": {
"type": "object",
"description": "Continuation receipt: emitted when a primary review was truncated and was continued by a separate request.",
"required": [
"schema",
"created_at",
"model",
"endpoint",
"prompt_sha256",
"answer_sha256",
"usage",
"previous_answer_path",
"answer_path"
],
"additionalProperties": false,
"properties": {
"schema": { "const": "ollama_deepseek_review_continuation_receipt_v1" },
"created_at": { "$ref": "#/$defs/isoTimestamp" },
"model": { "$ref": "#/$defs/model" },
"endpoint": { "$ref": "#/$defs/endpoint" },
"prompt_sha256": { "$ref": "#/$defs/sha256Hash" },
"answer_sha256": { "$ref": "#/$defs/sha256Hash" },
"usage": { "$ref": "#/$defs/usage" },
"previous_answer_path": {
"allOf": [
{ "$ref": "#/$defs/repoRelativePath" },
{ "pattern": "\\.md$" }
],
"description": "Repo-relative path to the answer being continued."
},
"answer_path": {
"allOf": [
{ "$ref": "#/$defs/repoRelativePath" },
{ "pattern": "\\.md$" }
],
"description": "Repo-relative path to the answer markdown produced by this continuation."
},
"message_keys": {
"type": "array",
"uniqueItems": true,
"items": { "type": "string", "minLength": 1 },
"description": "Field names returned alongside 'content' by the continuation endpoint (e.g. role, content, reasoning)."
}
}
}
}
}