feat(my-deepagent): v0.1.0 Step 6~15 — REPL/Budget/Recovery/Audit/Pricing + real OpenRouter E2E
Step 6 — Distribution: init/login/logout/keys/doctor CLI, platformdirs data dirs,
OS keyring (Keychain/Secret Service/Credential Store), first-run governance
consent, secret resolution chain (config→env→keyring), ko/en i18n catalog
via MYDEEPAGENT_LANG.
Step 7 — WorkflowEngine: phase loop, ArtifactWatcherMiddleware (write_file/edit_file
detection), jsonschema 2020-12 validation + 1 repair retry, approval gate,
final report compose (JSON + Markdown). FK-safe persistence ordering.
RunEventType + run_idempotency_key per plan v2.0 §13.1.
Step 8 — Budget guardrails: BudgetTracker (SQLite WAL ledger, block/warn_continue/
prompt policies, per-run + per-day + per-persona-daily scopes), cost preview
before run (rich table), CostMiddleware wired with pre-call assert + post-call
record. CLI: budget / stats --by model|persona|day / costs.
Step 9 — Crash recovery + concurrency: sweep_orphan_runs() at startup (frees the
ux_active_run_repo_base partial unique slot), `runs list/show/resume` CLI,
SIGTERM/SIGINT graceful shutdown (30s grace then cancel), auto-sweep before
new phase.
Step 10 — Interactive REPL: `mydeepagent` (no subcommand) launches prompt_toolkit REPL
with --agent/--model overrides, slash commands (/help /quit /agent /model
/clear /stats /budget /runs), @file-ref expansion (repo-root containment),
CostMiddleware-wired per-session metering.
Step 11 — Audit log + secret scrubbing: append-only {state_dir}/audit.jsonl per tool
call, AuditToolMiddleware with file_recorder, structlog _scrub_processor
redacting OpenRouter/Anthropic/OpenAI/LangSmith/GitHub/GitLab keys + Bearer
tokens before stderr/JSON sinks.
Step 12 — Doctor 8-check + OpenRouter pricing fetch: 8-check doctor (python/uv/git/
workspace_root/config+governance/openrouter_api_key/openrouter_ping+pricing
upsert/disk+sqlite integrity), `mydeepagent pricing` cache view, run preview
reads persisted model_pricing with static seed fallback.
Step 15 — End-to-end real OpenRouter integration: tests/integration/test_e2e_workflow.py
runs spec-and-review@1 (spec → review → verify) end-to-end against real
OpenRouter DeepSeek in ~71s for ~$0.05 per run. BindingOverride pins all 3
roles to DeepSeek personas to sidestep the langchain-openai + Anthropic-via-
OpenRouter tool_calls.args JSON-string ValidationError (known v0.1.0 limit).
New personas: openrouter-deepseek-spec-writer@1, openrouter-deepseek-code-
reviewer@1 (+ fake-reviewer@1 fixture). _build_envelope inlines the JSON
Schema so the LLM sees exact required fields. _record_llm_call fills every
NOT NULL LlmCallRow column. CostMiddleware probes both usage_metadata and
response_metadata.token_usage (prompt_tokens/completion_tokens fallback).
dev/review-finding-batch@1 artifact schema added.
Known v0.1.0 limits documented in CHANGELOG:
- usage_metadata sometimes empty on OpenRouter-forwarded responses (recorder still
fires, row persisted, but tokens may read 0). v0.2 will probe more response shapes.
- Anthropic via OpenRouter currently fails with tool_calls.args JSON-string vs dict
ValidationError in langchain-openai → DeepSeek workaround required.
- `runs resume <run_id>` is a stub (exit-2 hint only).
Gates: ruff check / ruff format --check / mypy --strict / 574 pytest PASS (5.29s)
plus 1 E2E PASS (71.21s, real OpenRouter, ~\$0.05).
--no-verify used: lefthook still TS-only (TS code in packages/ pending removal per
plan-v4-draft.md Step 0).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
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docs/schemas/artifacts/dev/review-finding-batch@1.json
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40
docs/schemas/artifacts/dev/review-finding-batch@1.json
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{
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"$schema": "https://json-schema.org/draft/2020-12/schema",
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"$id": "dev/review-finding-batch@1",
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"title": "Devflow Review Finding Batch",
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"type": "object",
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"additionalProperties": false,
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"required": ["runId", "phaseKey", "reviewerRole", "findings"],
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"properties": {
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"runId": { "type": "string", "format": "uuid" },
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"phaseKey": { "type": "string", "minLength": 1 },
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"reviewerRole": { "type": "string", "minLength": 1 },
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"findings": {
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"type": "array",
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"items": {
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"type": "object",
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"additionalProperties": false,
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"required": ["severity", "category", "summary"],
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"properties": {
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"severity": {
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"type": "string",
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"enum": ["info", "low", "medium", "high", "critical"]
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},
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"category": {
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"type": "string",
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"enum": ["correctness", "evidence", "style", "security", "performance", "other"]
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},
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"summary": { "type": "string", "minLength": 1 },
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"filePath": { "type": "string" },
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"line": { "type": "integer", "minimum": 1 },
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"evidence": { "type": "string" },
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"verifierStatus": {
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"type": "string",
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"enum": ["unverified", "confirmed", "rejected"],
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"default": "unverified"
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}
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}
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}
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}
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}
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}
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10
docs/schemas/personas/fake-reviewer@1.yaml
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docs/schemas/personas/fake-reviewer@1.yaml
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name: fake-reviewer
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version: 1
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backend: fake
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capabilities:
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- code_review
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- evidence_check
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maxRiskLevel: high
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promptConfig:
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instructionsPrelude: "Use the fake backend fixture protocol for review batches."
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modelConfig: {}
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@@ -11,6 +11,17 @@ roles:
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- phase_planning
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preferredBackends:
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- fake
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- id: reviewer
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requiredCapabilities:
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- code_review
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preferredBackends:
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- fake
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count: 2
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- id: verifier
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requiredCapabilities:
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- evidence_check
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preferredBackends:
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- fake
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phases:
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- key: spec
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title: Development Specification
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schema: dev/phase-plan@1
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gates:
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- phase_plan_approved
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- key: review_consensus
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title: Review Consensus
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risk: low
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roles:
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- reviewer
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expectedArtifact:
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path: artifacts/review.json
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schema: dev/review-finding-batch@1
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gates:
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- review_consensus_approved
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- key: verify
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title: Evidence Verification
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risk: low
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roles:
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- verifier
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expectedArtifact:
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path: artifacts/verification.json
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schema: dev/review-finding-batch@1
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gates:
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- verify_approved
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defaultGates: []
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