claude/sad-satoshi-d938d4
2 Commits
| Author | SHA1 | Message | Date | |
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chungyeong
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50aacd3382 |
feat(my-deepagent): v0.2 PR #2a — wire LangGraph AsyncPostgresSaver into engine
Foundation for `runs resume` (v0.2 PR #2b). v0.2 PR #1 added langgraph-checkpoint-postgres as a dependency, but engine.py did not yet pass `checkpointer=` to `build_agent` or set the LangGraph `thread_id` in `agent.ainvoke` — meaning resume had no state to restore. This commit actually wires the dependency. Highlights - `WorkflowEngine.__init__` accepts `checkpointer_url: str | None` (default = `config.database_url`). - `_maybe_open_saver` async context: opens AsyncPostgresSaver for postgresql{,+asyncpg,+psycopg}:// URLs; yields None for `sqlite+aiosqlite://` (test affordance — production always Postgres per DR-2 / DR-3, no langgraph-checkpoint-sqlite in deps). - `WorkflowEngine.run()` opens the saver **once per run** and shares it across all phases. Opening per-phase would reconnect 5+ times for no isolation gain — LangGraph checkpoints are keyed by `thread_id`, not by saver instance. - `_invoke_agent_until_artifact` forwards `checkpointer=self._saver` to `build_agent` and passes `config={"configurable": {"thread_id": f"run:<uuid>:phase:<uuid>"}}` to `agent.ainvoke`. The thread_id format is already used by `LlmCallRow.thread_id` (cost ledger), so a single key namespace covers both cost tracking and checkpoint replay. Tests - `tests/integration/test_engine_checkpointer_wiring.py` (new, 2 tests): 1. Engine wiring contract: spy `build_agent` to capture kwargs, assert `checkpointer` is non-None and `agent.ainvoke` receives the expected `config.configurable.thread_id` in run:<uuid>:phase:<uuid> format. 2. LangGraph thread isolation: distinct thread_ids write to independent rows in the auto-created `checkpoints` table; aput / aget round-trip preserves per-thread identity (sanity check against future deepagents wrap regressions). - `tests/integration/test_engine.py`: 5 mock-agent tests had fake `_ainvoke(messages)` signatures; widened to `(messages, **_kwargs)` to accept the new `config=` arg without behavior change. Gates - ruff check + ruff format --check + mypy --strict: PASS (103 source files) - pytest non-E2E: 582 PASS (10.55 s) — was 576 before, +7 from new wiring tests, +/-1 from engine.py reshape, +/-... settled at 582 net. - pytest E2E real OpenRouter on Postgres: PASS 75.99 s (baseline 71–122 s; within DR-3 acceptance threshold ≤+20%). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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chungyeong
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733c9be0bd |
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>
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