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{"type":"message","id":"4a1804b3","parentId":"b398ad07","timestamp":"2026-08-22T07:57:46.045Z","message":{"role":"user","content":[{"type":"text","text":"You are running as an omo senpi-task child.\nTask id: st_01a02879.\nParent session: 01a00387-aaf8-7f2f-89e3-e24c1af24859.\nRoot session: 01a00387-aaf8-7f2f-89e3-e24c1af24859.\nDepth: 1.\n\nTask:\n\nReferences are relative to /projects/richard/omo-native-pirate/packages/omo-senpi/plugin/skills/programming.\n\n# Programming\n\nYou are a lazy senior engineer — lazy meaning efficient, never careless. **The best code is the code never written; the code you do write is type-strict, stack-first, async-correct, and architecturally honest about size.**\n\nThis skill is an index. The hard per-language rules live under `references/`. Load the language-specific reference **before** writing a single line of code.\n\n---\n\n## PHASE 0 — LANGUAGE GATE (RUN THIS FIRST, EVERY TIME)\n\n**DO NOT WRITE OR EDIT A SINGLE LINE OF CODE BEFORE COMPLETING THIS GATE.**\n\n1. **Identify the language** from the file extension or the user's request.\n2. **STOP** and read the matching reference set:\n\n | File / Language | MANDATORY reading (load `Read` tool on every file below) |\n |---|---|\n | `.py`, `.pyi`, \"Python\" | `references/python/README.md` + every file under `references/python/` that the README tells you to load on demand |\n | `.rs`, `Cargo.toml`, \"Rust\" | `references/rust/README.md` + every file under `references/rust/` that the README tells you to load on demand. **IF the change touches `unsafe`, `*mut`, `*const`, `MaybeUninit`, FFI, `unsafe impl Send/Sync`, or a custom lock-free primitive: ALSO load `references/rust-ub/README.md` plus every file under `references/rust-ub/`.** |\n | `.ts`, `.tsx`, `.mts`, `.cts`, \"TypeScript\" | `references/typescript/README.md` + every file under `references/typescript/` that the README tells you to load on demand |\n | `.go`, `go.mod`, `go.sum`, `.golangci.yml`, `*.proto` next to a Go module, \"Go\" / \"Golang\" | `references/go/README.md` + every file under `references/go/` that the README tells you to load on demand |\n\n3. Only after the references are loaded, apply the **shared philosophy** below plus the per-language iron list from the reference.\n\n**No exceptions for \"small\" or \"one-off\" code.** The whole point of the modern toolchain (uv + PEP 723, `rust-script`, Bun) is that disposable scripts cost nothing to write with full discipline.\n\n---\n\n## Shared philosophy (all three languages)\n\nThese are not style preferences. They are the seven axioms every recipe in `references/` derives from.\n\n0. **The best code is the code never written.** Before writing, stop at the first rung that holds: (1) does this need to exist at all? (YAGNI) (2) does this codebase already have it? — reuse the helper or pattern, do not re-implement. (3) does the standard library do it? (4) does a native platform feature cover it? (5) does an installed dependency solve it? (6) can it be one line? (7) only then, write the minimum that works. Climb the ladder *after* you understand the problem and trace the real flow end to end — the smallest diff in the wrong place is a second bug, not laziness. The ladder is a fast decision, not a written essay: pick the rung and move. **Bug fix = root cause, not symptom.** A ticket names a symptom; grep every caller of the function you touch and fix the shared seam once — one guard at the source is a smaller, more correct diff than one guard per caller, and patching only the path the ticket names leaves a sibling caller broken.\n\n1. **The type system is your proof system.** Make illegal states unrepresentable. The compiler / type checker is the cheapest test you will ever run. If a bug can be expressed as a type error, it is *required* to be expressed as a type error.\n\n2. **Parse, don't validate.** Untrusted input crosses a boundary exactly once - at the boundary it is parsed into a typed value (Pydantic v2 in Python, `serde` + `#[derive]` in Rust, Zod in TypeScript). Inside the boundary, code receives typed values and never re-validates. The boundary owns trust; the interior owns logic.\n\n3. **One name = one concept.** A `UserId` is not a `string`. A `Seconds` is not a `Milliseconds`. Use `NewType` (Python), newtype tuple structs (Rust), or branded types (TypeScript) for every distinct semantic primitive. The compiler refuses to let two semantic units mix.\n\n4. **Exhaustive variant matching, always.** Discriminated unions and enums are matched exhaustively. Python: `match` + `case unreachable: assert_never(unreachable)`. Rust: `match` (the compiler enforces). TypeScript: `switch` + `assertNever`. **`if`/`elif`/`else` is forbidden for discriminating on a tagged variant** - it silently swallows new variants.\n\n5. **Trust framework guarantees. Validate only at boundaries.** No null checks for values the type system already proves non-null. No `try/except` around code that cannot raise. No `unwrap`/`!`/`as` to paper over a contract you should have encoded in types. No defensive layer for a scenario you cannot name.\n\n6. **Test-driven, with the right shape of test.** No production line ships without a failing test that proves it was needed. Behavior is locked by tests, not by hope. See the TDD discipline below.\n\n---\n\n## TDD DISCIPLINE — NON-NEGOTIABLE\n\n**Every change follows the red → green → refactor loop.** The order is mandatory; reverse it and you have written speculative code.\n\n### The order\n\n1. **Red.** Write a failing test that names the behavior in `Given / When / Then`. Run it. *Confirm it fails for the right reason* — not a typo, not an import error. A test that fails because the function does not exist yet is the right reason. A test that fails because of a missing import is not.\n2. **Green.** Write the minimum code to make the test pass. Resist adding the second case until the first passes. The second case is the next red.\n3. **Refactor.** With the test green, restructure ruthlessly. The test is your safety net. If the test is hard to refactor against, the test is bad — fix the test before the code.\n\n### The shape of the test pyramid\n\nEvery feature ships with all three rungs, sized in this proportion:\n\n| Rung | Count | Purpose | Speed budget |\n|---|---|---|---|\n| **Unit** | many | Pure-function correctness for every meaningful input class (happy + edges + boundaries + error paths) | < 10 ms each |\n| **Integration** | some | The real adapter against the real downstream (DB, queue, HTTP) — via `testcontainers`, `httptest`, or equivalent. NEVER a unit test pretending to be integration. | < 1 s each |\n| **E2E scenario** | few | One narrative per user-visible outcome. Spins the binary or the full app; drives it through its real surface (HTTP route, CLI invocation, TUI keystroke). Asserts the *observable outcome*, not internal state. | seconds, run on CI |\n\nIf a feature has zero E2E coverage, it is undone — even if every unit test passes.\n\n### Given / When / Then is mandatory\n\nEvery test — unit, integration, E2E — is structured by these three blocks. Names follow `Test__when_` or the language idiom (`it(\" when \")`, `#[test] fn behavior_when_condition`).\n\n```\nGiven: the preconditions and fixtures\nWhen: the single action under test\nThen: the observable outcome AND only that outcome\n```\n\nOne `When` per test. Multiple `When`s = multiple tests. The `Then` asserts only what changed because of the `When` — not unrelated invariants.\n\n### Less mock, the better\n\nMocks are a last resort, not a default. The priority order:\n\n1. **Real object.** Use it when constructable in <1 ms (most domain types, pure functions, value objects).\n2. **In-memory fake.** A real implementation of the interface backed by a map/slice — for stores, caches, queues. The fake has its OWN test that proves it behaves like the real one.\n3. **Testcontainer / sandbox.** Real Postgres, real Redis, real S3-compatible (MinIO), via `testcontainers`. Slow but truthful.\n4. **HTTP-level fake.** `httptest.Server` (Go), `respx` (Python), `msw` (TS) — fake at the wire, not at the SDK.\n5. **Mock.** Only when 1–4 are genuinely infeasible (clock, randomness, external SaaS with no sandbox). Then mock the **narrowest** seam — never an entire service. A mock that returns whatever the test wants is a tautology and proves nothing.\n\n**The rule**: if your test fails when the production code's *implementation* changes but its *behavior* did not, the test is over-mocked. Delete the mock; assert on observable outputs.\n\n### Efficient AND accurate — both, not either\n\n- **Accurate**: the test fails for the bug it names, and only that bug. No incidental coupling to format, ordering, whitespace, or unrelated fields. Assert on the *contract*, not on the dump.\n- **Efficient**: the whole unit suite runs in < 30 seconds on a developer laptop. The whole integration suite in < 5 minutes. If you cross those budgets, profile and split — fast tests run on every save, slow ones run on push.\n- **Deterministic**: no `sleep`, no wall-clock dependence, no order dependence (`-shuffle=on`, pytest-randomly, vitest random seed). Inject a `Clock`. Subscribe to the event, do not poll for it. Time-based flake is a bug, not a test issue.\n- **Isolated**: every test starts from a known fixture and tears down. `t.TempDir()`, `t.Setenv()`, transactional rollback for DB tests. Two tests passing individually but failing together is a fixture leak — fix it immediately. Isolation extends **across processes**: suite-global resources — sandbox/cache roots under a fixed tmpdir path, hardcoded listen ports, container names — are namespaced per run (`mktemp`, port `0`/ephemeral, unique names) so that two checkouts or worktrees of the repo running the suite concurrently cannot interfere. A fixed shared path that works on a single-checkout machine is a flake generator on a multi-agent workstation, and its signature is \"a different test fails each run\".\n\n### Prompt tests: NEVER assert prose\n\n**FORBIDDEN — NO EXCEPTIONS: a test MUST NOT assert natural-language prompt text.** `expect(prompt).toContain(\"based on GPT-5.6\")`, `not.toContain(\"old wording\")`, `toMatchSnapshot()` on prose, grepping a sentence fragment — every one of these is pretend-coverage. It stays green while the behavior it claims to guard breaks, then blocks every legitimate rewording until someone bumps the pinned string. A reviewer MUST block it as HIGH; deleting such a test is a fix, not a coverage loss. \"A nearby test already does it\" is not a defense — that test is the disease, not the convention.\n\nAssert ONLY what a machine consumes:\n\n- the builder's routing decision — `expect(getPromptSource(model)).toBe(\"gpt-5-6\")`, never the sentence that routing produces\n- a structural token the runtime dispatches on — a tool name, a tag like ``, a parsed frontmatter field\n- the conditional the code enforces — skill loaded → tool present; `verbose=false` → directive absent\n- a routing-bearing trigger fragment inside a parsed frontmatter `description` that a router (code or an LLM skill-picker) dispatches on — pin the *minimal fragment that carries the routing decision*, never the surrounding style prose. Such pins are what let a later rewrite change every sentence around them while proving the routing contract survived.\n\nIf no machine consumes the text, there is no seam: write NO test and say so in the PR; review guards prose. When you DELEGATE test-writing, hand the child the behavior the test must distinguish (\"fails if override precedence breaks\"), never a ready-made assertion string, prompt fragment, or marker to copy — a prescribed mechanism that is wrong gets implemented faithfully, and the error ships with a green suite.\n\n### Anti-patterns the skill rejects\n\n| Anti-pattern | Why it fails | Fix |\n|---|---|---|\n| Writing code first, tests \"to add later\" | Tests-after rationalize the existing design, even when wrong. | Red first. Always. |\n| One mega-test asserting 12 things | First failure hides the next 11. | Split by `Then` clause — one assertion class per test. |\n| Mocking every collaborator | Test passes regardless of real behavior. | Use a fake or the real thing. Mock only true unmockables. |\n| `time.sleep(0.1)` to \"let it finish\" | Flake guaranteed. | Subscribe to the completion signal; bounded await. |\n| Snapshot tests for everything | Locks formatting, not behavior. | Snapshots for *structure* (CLI help, JSON shape). Assertions for *behavior*. |\n| Removing a failing test to \"unblock CI\" | You just deleted a bug report. | Fix the code or fix the test — never delete to silence. |\n| `assert result is not None` and stopping there | Passes when result is garbage. | Assert the *value*, not its existence. |\n| Expected value derived from the output under test (`expect(config.prompt).toBe(getPrompt(config.model))` when the criterion is about `config.prompt`) | Recomputes a projection of the output and compares it to itself — passes even when the artifact is built from the wrong input. | Derive the expected value from the test's *input*: `expect(config.prompt).toBe(getPrompt(inputModel))` (independent known-good builder fed the fixture's input), or a stable builder routing decision. |\n| Override/precedence fixture equal to its fallback (override == system default) | The assertion passes whether or not the code honored the override — precedence is never exercised. | Make every value the code must select, preserve, or override differ from its fallback. Prove it: temporarily force the regression the test names, watch it fail, revert. |\n| Single happy-path E2E, no edges | Most bugs live on edges. | Edges are unit-test territory — but include at least one E2E that exercises an error path. |\n\n---\n\n## Cross-language iron list\n\nApply unless the per-language reference overrides with something stricter.\n\n| Rule | Python | Rust | TypeScript | Go |\n|---|---|---|---|---|\n| Immutable by default | `@dataclass(frozen=True, slots=True)` / Pydantic `frozen=True` | every binding is `let` (not `let mut`) unless mutation is the documented purpose | every field is `readonly`; arrays are `readonly T[]` | value types, unexported fields, no mutation methods unless mutation is the purpose |\n| Branded primitives | `UserId = NewType(\"UserId\", int)` | `struct UserId(u64);` (newtype tuple) | `type UserId = Brand` | `type UserID string` + smart constructor with unexported field |\n| Exhaustive variant matching | `match` + `assert_never` | `match` (compiler-enforced) | `switch` + `assertNever` | sealed interface + type switch + **`exhaustive` linter** (the compiler will not help) |\n| No untyped escape hatches | no `Any` in public sigs, no `cast`, no `# type: ignore` | no `unwrap`/`expect` outside `main`/tests, no `as` for narrowing, no `#[allow]` to silence real warnings | no `any`, no `as` (except `as const`, `satisfies`), no `!`, no `@ts-ignore`, no `@ts-expect-error` | no `interface{}` / bare `any` in domain sigs; no `_ = err`; no `//nolint` without reason |\n| No bare error strings | typed exception dataclass with `__str__` | `thiserror` enum (lib) or `anyhow` with `.context(...)` (app) | `Error` subclass with typed fields | sentinel `errors.New` + typed `*XError` struct; wrap with `%w`; check via `errors.Is/As` |\n| Boundary catch only | catch the exact exception you expect; broad `except Exception` only in `main()`, with logging + re-raise | `?` everywhere; never `panic!` in library code | `catch` must narrow with `instanceof` and re-throw or convert; no empty catch | every `(T, error)` checked; `panic` only in `main`/tests; one `httperr.Write` funnel in handlers |\n| Resources via RAII | `with` (sync) / `async with` (async) | `Drop` impl or RAII guard | `using`/`await using` (TC39 explicit resource management) | `defer x.Close()` immediately after acquisition; `bodyclose`/`sqlclosecheck` linters enforce |\n| Async runtime is mandatory | `anyio` (NEVER bare `asyncio`) | `tokio` (`async-std` is unmaintained) | platform-native async (Bun/Node) with structured cancellation via `AbortSignal` | `context.Context` as first param + `errgroup` for structured concurrency; `-race` on every test |\n| Modern HTTP client | [`httpx2`](https://github.com/pydantic/httpx2) with HTTP/2 + brotli + zstd | `reqwest` with rustls | `ky` (default) / `undici` direct API (Node perf) - NEVER bare `fetch` in prod | stdlib `net/http.Client` with tuned `Transport` + `go-retryablehttp` for retry/backoff |\n| No parameter mutation | params are inputs; produce a new value | `&mut` only when mutation is the documented purpose | parameters never reassigned (`noParameterAssign`) | value receivers when not mutating; pointer receivers only for genuine mutation; `copylocks` vet enforces |\n| No helpers for one-off | inline a 3-line operation; do not abstract until the second caller | same | same | same |\n\n---\n\n## Modern ecosystem - canonical libraries (2026)\n\nUse these unless the project's manifest explicitly picks something else.\n\n| Domain | Python | Rust | TypeScript | Go |\n|---|---|---|---|---|\n| Data validation / boundary parse | **Pydantic v2** | **serde** + `#[derive(Deserialize)]` + `validator` | **Zod v4** (Standard Schema) | `validator/v10` (HTTP) + `protovalidate` (proto) + smart constructors (domain) |\n| Internal value object | `@dataclass(frozen=True, slots=True)` | newtype tuple struct or plain `struct` | `type` alias with `readonly` | struct with unexported fields + `NewX(...)` constructor |\n| Error types | typed exception dataclass | `thiserror` (lib) + `anyhow` (app) | `Error` subclass + Result pattern | sentinel `errors.New` + typed `*XError` struct + `%w` wrap |\n| HTTP client | [`httpx2`](https://github.com/pydantic/httpx2) | `reqwest` | `ky` / `undici` | stdlib `net/http` + `go-retryablehttp` |\n| Web framework | **FastAPI** | **axum** | **Hono** + `hono-openapi` | **gin** (de facto, ~48%) / `chi` (minimalist) / `connect-go` (RPC) |\n| ORM / DB | SQLAlchemy 2.x async + `asyncpg` | `sqlx` (compile-time checked) | **Drizzle** | **sqlc** (codegen from `.sql`) + `pgx/v5` + `goose` migrations |\n| CLI | **typer** + `rich` | **clap** (derive) + `color-eyre` + `indicatif` | `@clack/prompts` + `commander` | **cobra** + `huh` (prompts) + `slog` |\n| Logging / observability | `structlog` (prod) or `rich.logging` (dev) | **tracing** + `tracing-subscriber` | `pino` (structured JSON) | stdlib **`log/slog`** (NEVER logrus/zap/zerolog for new code) |\n| Testing | `pytest` | `cargo nextest` + `proptest` + `insta` | `bun test` / `vitest` | stdlib `testing` + `testify/require` + `goleak` + `autogold` + `rapid` + `testcontainers` |\n| Data / analytics | **polars** + **duckdb** + `numpy` (NEVER pandas) | `polars-rs` or `arrow` | (defer to backend service) | `arrow-go` + DuckDB-Go bindings + `gonum` |\n| LLM / agent | **pydantic-ai** | (call out to Python via subprocess) | **Vercel AI SDK** | direct `net/http` + Connect (langchaingo not recommended) |\n| TUI | **textual** | `ratatui` | `@clack/prompts` or ink | **bubbletea v2 RC** + `bubbles/v2` + `lipgloss/v2` (v2 mandatory for CJK IME) |\n| Config from env | **pydantic-settings** | `figment` or `config` | `zod` + `process.env` | `caarlos0/env/v11` (struct-tag env) |\n\nA bare default constructor for any of these (no timeouts, no pool tuning, no schema) is a bug. See the per-language reference for the canonical production defaults.\n\n---\n\n## Modern toolchain - the only acceptable setup\n\n| Tool category | Python | Rust | TypeScript | Go |\n|---|---|---|---|---|\n| Package / project manager | **uv** (NEVER pip/poetry/conda) | **cargo** + `cargo-nextest` + `cargo-machete` + `cargo-deny` | **Bun** (runtime + package manager); pnpm if Node is forced | **`go modules`** + `go work` for monorepos |\n| Type checker | **basedpyright** with `typeCheckingMode = \"all\"` | the Rust compiler with `-D warnings` + clippy `pedantic` + `nursery` + `cargo` groups | `tsc --noEmit` (or `tsgo` when available) with `strict` + `noUncheckedIndexedAccess` + `exactOptionalPropertyTypes` + `verbatimModuleSyntax` | the Go compiler + **`golangci-lint v2`** with the strict bundle + **`nilaway`** (nil-deref static analysis) |\n| Linter + formatter | **ruff** with `select = [\"ALL\"]` | `clippy` + `rustfmt` | **Biome** (single binary - replaces ESLint + Prettier) | **`gofumpt`** (stricter gofmt) + `goimports -local` + `golangci-lint v2` |\n| Test runner | **pytest** | **cargo-nextest** | `bun test` / `vitest` | stdlib `go test -race -shuffle=on -count=1` + `goleak` |\n| UB / soundness gate | (n/a) | **nightly miri** with strict provenance + Tree Borrows pass | (n/a) | **`nilaway`** + `-race` detector + `goleak` are the equivalent gate |\n| Disposable scripts | **PEP 723** inline metadata + `uv run script.py` | **rust-script** with inline `Cargo.toml` block | `bun run script.ts` | `//go:build ignore` + `go run script.go` |\n| Bootstrap a new project | `scripts/python/new-project.py` | `scripts/rust/new-project.py` | `scripts/typescript/new-project.ts` | `scripts/go/new-project.py` |\n| Pre-commit / CI gate | `ruff check . && basedpyright && pytest` | `cargo +nightly clippy -- -D warnings && cargo nextest run && cargo +nightly miri test` | `bunx biome check . && bunx tsc --noEmit && bun test` | `gofumpt -l . && golangci-lint run ./... && nilaway ./... && go test -race -shuffle=on -count=1 ./...` |\n\nA `tsconfig.json` with `\"strict\": true` alone is **not** strict. The reference enumerates the additional flags. Same for `pyproject.toml` and `Cargo.toml` - the references contain the canonical full configuration.\n\n---\n\n## CODE SMELLS — AUTOMATIC REVIEW TRIGGERS\n\nMost smells below are design review triggers: STOP, re-examine the code, and either fix the smell or justify carrying it with a SPECIFIC reason. **The 250 pure LOC ceiling is stricter: >250 is a DEFECT. Refactor before adding lines except for rare SIZE_OK or pure-data-table exceptions.**\n\nFull rationale, measurement methods, workaround detection, and split examples: **[`references/code-smells.md`](references/code-smells.md)**.\n\n### Smell 1 — File exceeds 250 pure LOC\n\nA source file past 250 non-blank, non-comment lines has outgrown a single reviewer's working memory. The module is almost certainly doing more than one thing. Measure: `awk '!/^[[:space:]]*$/ && !/^[[:space:]]*(\\/\\/|#|--)/' | wc -l`.\n\n**When detected:** Name what the file owns in one short noun phrase. If the answer needs \"and\", the file needs splitting. Load `/refactor` and split by responsibility. If the file genuinely cannot be split (generated parser, indivisible state machine), mark with `// allow: SIZE_OK — `.\n\n### Smell 2 — Function with more than 3 parameters\n\nMore than 3 arguments signals the function is doing too much, or that related parameters belong in a typed struct. **Workarounds count as the same smell** — passing `dict`/`Record`/`map[string]any`/`**kwargs`/`...args` to smuggle parameters through one argument, or a throwaway \"config\" object with 6+ fields that exists solely to wrap what would otherwise be positional args (genuine reusable domain types like `HttpClientConfig` are fine).\n\n**When detected:** Group related parameters into a typed value object with a domain name. If 4+ independent inputs are genuinely required, the justification must be SPECIFIC. See [`references/code-smells.md` Smell 2](references/code-smells.md#smell-2--function-with-more-than-3-parameters) for examples in every language.\n\n### Smell 3 — Redundant verification after a destructive action\n\nPerforming a delete/remove/clear/drop and then immediately querying to \"confirm\" the thing is gone. **The operation's contract IS the verification.** Re-checking is AI-generated defensive bloat that wastes cycles and teaches the reader the operation is unreliable — which it is not. Same smell: calling a setter then getting to \"confirm\", writing a file then reading it back, inserting a row then SELECT-ing it, pushing to an array then checking `.length`.\n\n**When detected:** Delete the verification code. Trust the operation's contract. If the operation can genuinely fail silently, fix the operation — do not paper over it with a post-check. See [`references/code-smells.md` Smell 3](references/code-smells.md#smell-3--redundant-verification-after-a-destructive-action) for examples.\n\n### Smell 4 — Negative-form names and conditions\n\nNaming variables, functions, or flags by the **absence** of a quality (`isNotValid`, `noErrors`, `cannotProceed`, `DisableLogging`) instead of its **presence** (`isValid`, `isClean`, `canProceed`, `LoggingEnabled`). Every negation forces the reader to invert mentally; two negations (`if !isNotReady`) become a logic puzzle nobody reviews confidently.\n\n**When detected:** Rename to the positive form and invert the branch logic. Negation IS appropriate in guard clauses (`if !authorized { return }`) and filters (`items.filter(|x| !x.is_expired())`) — the negative form is the intent there. See [`references/code-smells.md` Smell 4](references/code-smells.md#smell-4--negative-form-names-and-conditions) for the full naming table and examples.\n\n---\n\n## LOGGING — CROSS-CUTTING RULES\n\nLogging is part of the code you ship, and it has iron rules of its own: levels chosen by naming the consumer (never by severity vibes), placement at decision points (never inside helpers), stable messages with structured fields — and, above everything else, **the project's existing practice wins: a project with a designated logger gets that logger and nothing else, and a project that does not log does not get logging uninvited.**\n\n**Read [`references/logging.md`](references/logging.md) BEFORE the change** whenever your edit adds or modifies log lines, sets up a logger or a new service entrypoint, or handles errors at a boundary.\n\n---\n\n## DEPENDENCY UPGRADES — CROSS-CUTTING RULES\n\n- **`0.x` minor = major.** Semver promises nothing below 1.0: treat `0.N → 0.N+1` as a breaking upgrade — read the changelog, build, and run the full suite before trusting it. A required field appearing in a public options type is a routine `0.x` \"minor\".\n- **Version literals live outside the manifest.** Before committing a bump, grep the repo for the old version string: Dockerfiles pinning a global CLI, CI workflows, and docs all carry copies. A bump that updates only the package manifest ships a split-brain deploy.\n- **Never hand-merge a lockfile.** On conflict, take either side whole and regenerate with the package manager — the resolver owns that file, not you.\n\n---\n\n## MANDATORY POST-WRITE REVIEW LOOP\n\n**This runs EVERY time you finish writing or substantively editing code, before you claim the task is done.** No exceptions.\n\n### Step 1 — measure\n\nFor every file you created or modified:\n\n```bash\nawk '!/^[[:space:]]*$/ && !/^[[:space:]]*(\\/\\/|#|--)/' | wc -l\n```\n\nOr run the per-language checker the skill ships:\n\n```bash\n# Python\nuv run scripts/python/check-no-excuse-rules.py \n# Rust\nbash scripts/rust/check-no-excuse-rules.sh \n# TypeScript\nbun run scripts/typescript/check-no-excuse-rules.ts \n```\n\n### Step 2 — interpret\n\n| Pure LOC | Verdict | Required action |\n|---|---|---|\n| ≤ 200 | Healthy | continue |\n| 200 - 250 | **Warning band** | State that fact and propose a split if the next edit will add lines. |\n| > 250 | **DEFECT** | Do NOT commit new lines to this file. Refactor now: split the touched unit before adding lines, except for rare SIZE_OK or pure-data-table exceptions. |\n\n### Step 3 — architectural self-review (always, even at 80 LOC)\n\nAfter every code-writing session, answer these out loud (in your reply) before declaring done:\n\n1. **Single responsibility?** Can I name what this file owns in one short noun phrase? If the answer needs the word \"and\", split.\n2. **Boundary purity?** Did I parse untrusted input into a typed value at the boundary, or did I pass `dict[str, Any]` / `serde_json::Value` / `unknown` past the boundary? If the latter, fix it.\n3. **Variant discrimination?** Did I use `if`/`elif`/`else` (or `switch` without `assertNever`, or `match` without `assert_never`) anywhere to discriminate on a tagged type or enum? If yes, rewrite as exhaustive match.\n4. **Escape hatches?** Any `Any`, `# type: ignore`, `unwrap`, `expect` outside `main`/tests, `as` numeric cast, `!`, `@ts-ignore`, `@ts-expect-error`, `#[allow]` on a real warning? If yes, fix the type or document why with a comment.\n5. **Defensive layer?** Any null check, try/except, or `isinstance` guarding a value the type system already proves? If yes, delete.\n6. **Helpers for one-off?** Any function, class, or trait introduced for a single caller that will never get a second caller? If yes, inline — axiom 0 should have caught it pre-write; this is the backstop.\n7. **Tests?** Is the behavior I just introduced locked by a test that would fail if I revert this commit?\n8. **Parameter bloat?** Any function I wrote or modified that takes more than 3 parameters — or smuggles them through a dict/kwargs/`...args`/throwaway options object? If yes, group related params into a typed value object. See [Smell 2](references/code-smells.md#smell-2--function-with-more-than-3-parameters).\n9. **Redundant verification?** Did I perform a destructive action (delete, remove, clear) and then immediately re-query to \"confirm\" it worked? Did I call a setter then a getter to \"verify\"? If yes, delete the verification — the operation's contract IS the proof. See [Smell 3](references/code-smells.md#smell-3--redundant-verification-after-a-destructive-action).\n10. **Negative naming?** Any variable, function, or flag named by the absence of a quality (`isNotValid`, `noErrors`, `DisableX`) when a positive name (`isValid`, `isClean`, `EnableX`) would work? If yes, rename to positive form and invert the branch. See [Smell 4](references/code-smells.md#smell-4--negative-form-names-and-conditions).\n11. **Logging?** If I touched log lines, logger setup, or error boundaries: did I follow the project's existing practice (including its absence)? Is every new line leveled by its consumer, placed at a decision point, and message-stable with data in fields? See [`references/logging.md`](references/logging.md).\n\n**If any answer fails, fix it before declaring done.** This loop is the difference between \"the code compiles\" and \"the code is correct.\"\n\n### Step 4 — if you need to refactor right now, invoke the right skill\n\n- Any code smell from the [CODE SMELLS section](#code-smells--automatic-review-triggers) fired (250+ LOC, >3 params, redundant verification, negative naming), or step 3 surfaced more than two issues: **load the `refactor` skill** and execute its safe-refactor protocol (codemap, plan, LSP-driven edits, test after each step). Do not improvise a refactor under time pressure — the refactor skill exists precisely so you do not corrupt behavior while reshaping structure.\n- You inherited a branch with AI-generated patterns (broad `except`, redundant null checks, vague TODOs, oversized modules, dead helpers, redundant post-action verification): **load the `remove-ai-slops` skill** to do a categorized branch-scope cleanup with regression tests pinned first.\n\nThese two skills are not optional cosmetics. They are the recovery path for the smells this loop is designed to catch.\n\n---\n\n## Companion skills - explicit invocation triggers\n\n| Trigger | Skill to load | Why |\n|---|---|---|\n| Any [code smell](#code-smells--automatic-review-triggers) fires (250+ LOC, >3 params, redundant verification), OR the post-write loop surfaces 2+ issues, OR the user says \"reshape this\", \"extract this\", \"clean this up\" | `refactor` | Safe codemap-driven multi-step refactor with LSP + tests after each step. Never improvise a structural change. |\n| Recent branch contains AI-authored patterns (broad except, dead helpers, vague comments, oversized files, redundant post-action verification), OR the user says \"remove slop\", \"clean AI code\", \"deslop\" | `remove-ai-slops` | Tests pinned FIRST, then categorized parallel cleanup, then quality gates. Behavior-preserving. |\n| Rust code touches `unsafe`, `*mut`, `*const`, `MaybeUninit`, FFI, `unsafe impl Send/Sync`, or a custom lock-free primitive | `references/rust-ub/` | Full UB taxonomy + Miri strictness escalation. Every `unsafe` block must survive Miri Level 3 (strict provenance + symbolic alignment + preemption) before it ships. |\n\n---\n\n## Per-language jump table\n\n**Stop. Read the matching reference fully before writing code.**\n\n### Python (`.py`, `.pyi`)\n\n**READ `references/python/README.md` FIRST.** Then load on demand:\n\n| Need | Load |\n|---|---|\n| Strict pyproject.toml / basedpyright / ruff config | `references/python/pyproject-strict.md` |\n| Type patterns (`NewType`, `Final`, `TypeGuard`, `Protocol`) | `references/python/type-patterns.md` |\n| Data modeling (Pydantic vs dataclass vs TypedDict vs StrEnum) | `references/python/data-modeling.md` |\n| Error handling (typed exceptions, exhaustive match, union returns) | `references/python/error-handling.md` |\n| Async with anyio (task groups, cancel scopes, channels) | `references/python/async-anyio.md` |\n| httpx2 production defaults (HTTP/2, brotli+zstd, pool tuning) | `references/python/httpx2-optimization.md` |\n| **orjson** in hot paths (FastAPI integration, Pydantic v2 `model_dump_json` vs orjson, Redis/queue/log) | `references/python/orjson-stack.md` |\n| Data processing with polars + duckdb (NEVER pandas) | `references/python/data-processing.md` |\n| FastAPI + SQLAlchemy 2.x async stack | `references/python/fastapi-stack.md` |\n| pydantic-ai agents | `references/python/pydantic-ai.md` |\n| Textual TUI | `references/python/textual-tui.md` |\n| Disposable PEP 723 scripts | `references/python/one-liners.md` |\n| Canonical library defaults | `references/python/libraries.md` |\n\n### Rust (`.rs`, `Cargo.toml`)\n\n**READ `references/rust/README.md` FIRST.** It defines the five pillars (explicit allocation, compile-time proof, zero hidden cost, type-encoded invariants, deterministic cleanup) and the post-write review checklist. Then load on demand:\n\n| Need | Load |\n|---|---|\n| **Arena allocation, const fn, zero-alloc APIs, bitfield, scopeguard, errdefer, Zig-like patterns** | **`references/rust/zero-cost-safety.md`** |\n| Strict `Cargo.toml` lints + profile + workspace config | `references/rust/cargo-strict.md` |\n| Type-state and newtype patterns (Chris Allen's `Point` rule) | `references/rust/type-state.md` |\n| `unsafe` discipline (safe wrapper + SAFETY comment + miri proof) | `references/rust/unsafe-discipline.md` |\n| Async with tokio (JoinSet, cancellation, select, blocking work) | `references/rust/async-tokio.md` |\n| Concurrency primitives (locks, atomics, channels, loom) | `references/rust/concurrency.md` |\n| axum + sqlx + tracing + tower HTTP stack | `references/rust/axum-stack.md` |\n| clap + color-eyre + tracing + indicatif CLI stack | `references/rust/clap-stack.md` |\n| Property tests (proptest) + snapshot tests (insta) | `references/rust/proptest-insta.md` |\n| Disposable `rust-script` scripts | `references/rust/one-liners.md` |\n| Canonical library defaults | `references/rust/libraries.md` |\n| **ANY `unsafe` / FFI / `MaybeUninit` / lock-free work** | **`references/rust-ub/` (full directory)** |\n\n### TypeScript (`.ts`, `.tsx`, `.mts`, `.cts`)\n\n**READ `references/typescript/README.md` FIRST.** Then load on demand:\n\n| Need | Load |\n|---|---|\n| Strict tsconfig + Biome config | `references/typescript/tsconfig-strict.md` |\n| Type patterns (branded types, `as const`, `satisfies`, narrowing, `assertNever`) | `references/typescript/type-patterns.md` |\n| Data modeling (type vs interface vs Zod, readonly, parse-don't-validate) | `references/typescript/data-modeling.md` |\n| Error handling (Result, typed errors, union vs throw, AbortSignal timeouts) | `references/typescript/error-handling.md` |\n| Bootstrapping a new project (Bun, pnpm, Hono, Vite) | `references/typescript/bootstrap.md` |\n| Hono backend stack (hono-openapi, Scalar, Swagger, Zod v4) | `references/typescript/backend-hono.md` |\n\n### Go (`.go`, `go.mod`, `go.sum`, `.golangci.yml`, `*.proto`)\n\n**READ `references/go/README.md` FIRST.** Then load on demand:\n\n| Need | Load |\n|---|---|\n| Library defaults (gin vs chi, sqlc, slog, the 2026 stack reasoning) | `references/go/libraries.md` |\n| Canonical strict `.golangci.yml` (v2) with per-linter rationale | `references/go/golangci-strict.md` |\n| Project layout, Taskfile, CI, `go.mod` template | `references/go/bootstrap.md` |\n| Type patterns (named types, smart constructors, sealed interfaces, generics) | `references/go/type-patterns.md` |\n| Data modeling — the three layers of validation (validator/v10 → smart ctor → sqlc) | `references/go/data-modeling.md` |\n| Error handling (`errors.Is/As`, typed errors, `%w` wrapping, no panic) | `references/go/error-handling.md` |\n| Concurrency (`context.Context`, `errgroup`, channels, locks, `-race`, `goleak`) | `references/go/concurrency.md` |\n| HTTP backend stack (gin + slog + validator + pgx, middleware ordering, SSE, WS) | `references/go/backend-stack.md` |\n| RPC stack (Connect-Go default, grpc-go fallback, protovalidate, Buf) | `references/go/grpc-connect.md` |\n| CLI stack (cobra + slog + huh) | `references/go/cobra-stack.md` |\n| Database stack (sqlc + pgx + goose + testcontainers) | `references/go/sqlc-pgx.md` |\n| TUI stack (bubbletea v2 + bubbles v2 + lipgloss v2; **CJK / IME support**) | `references/go/bubbletea-v2.md` |\n| Testing (Given/When/Then, table-driven, fakes-over-mocks, autogold, rapid) | `references/go/testing.md` |\n| Disposable `go run` scripts | `references/go/one-liners.md` |\n\n---\n\n## Activation\n\nThis skill activates whenever you are writing or modifying any `.py`, `.pyi`, `.rs`, `.ts`, `.tsx`, `.mts`, `.cts`, `.go` file, or any project manifest (`pyproject.toml`, `Cargo.toml`, `package.json`, `tsconfig.json`, `biome.json`, `go.mod`, `go.sum`, `.golangci.yml`, `Taskfile.yml`, `buf.yaml`, `sqlc.yaml`). **Even one-off scripts get the full treatment** - that is the whole point of `uv run` + PEP 723, `rust-script`, `bun run`, and `go run` + `//go:build ignore`: production hygiene with throwaway ergonomics.\n\nThe references contain the recipes. **Read them before writing code. Re-read them when the model drifts.** The post-write review loop is non-negotiable.\n\n\nWorktree `/home/cube/projects/richard/.worktrees/nutricoach-v111-impl`. EXCLUSIVE WRITE SCOPE: `tests/gateway/test_fake_telegram_bot_api.py` only. Current strict basedpyright has exactly 25 errors in this file after prior partial repairs. Run the exact checker on this single file, fix each diagnostic with typed dataclasses/Protocols/TypeGuards and explicit runtime narrowing. No Any, type-ignore, suppression, broad casts, weakened assertions, sleeps, skip/xfail, or production edits. Preserve fake Telegram behavior. Finish with basedpyright 0 errors, this test file pytest green, Ruff, py_compile. Do not touch any other file or commit.\n\n\nYou are working on tasks that don't fit specific categories but require moderate effort.\n"}],"timestamp":1787385466045}}
{"type":"message","id":"f6b8a945","parentId":"4a1804b3","timestamp":"2026-08-22T07:57:56.055Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Planning parallel environment and reference inspection**","startedAt":1787385467731,"thinkingSignature":"{\"id\":\"rs_0303f5a230a41a0e016a89567bb22087d0850dacf598f028dc\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqiVZ9q3TDgbyVgkLawzPIMfK6dGAuc6YVoGZ7JtvcfKsuwNjXX8mE6UibZNyljTVjV4JKD2uzIFXqx6xOA0O2TuETmBi1HGPBxxk9Hc7H6bTpQCBnCEzvFbPwk_TuS5YeNIPcn6NwOC7XQRA8Ff1R7vkFrQ8DXxdkJ5Web6-rCc1P6YgA3ccp-C8P1mpmd8h8wdeWre5rzUTN1nWVATrB88IXh2pCVa5fdbZMdMFKRVf6kGRDKzH3LkphFh_3Ev83PHO3k9BZHzt96gVAwiC1jQs24suaBQPRJKiotjF6uJhlvJvF0Pdmld-pbcfl7YSImhX9tI2kRvNAbmKyR5jV8m-AB14qUqxm_L0w93XCi-piP0TSqtoHluezsLhnHzkhUcivkrttn0W5oC2Yy0ihAZBCtSPJma1QkOd_v-S9WAja_SuWYZJWd9_xO4Qi42w6fy_syf29sGjsKKoRFaAuxphQu-61hAmiJmoaGwk9-33jSOvyyjPl0_6djpg0ty-CIOerZBJmf1UltPWruk0as9XXqCU1rmKDUQ6tcGWFlVNYTGwS-6GdTWrUunejlwLu2MLLgbtK58L6tpMI0wGfdygPf8LyoccnX6qP4Hpu_7xqBE8gCLI27tRWrwM9izhLTX9JkqbdXZBPJF_WpEoGhWCId2a4xs9fIhBmX8vwYm0F-CF8LaLY8jwdWonpym3U3M6PPyTVTet1eKFsAksevpuilu7d__7IvEVRTAE_4WrD4A1EUyEgRK66uVfHfXQhC-M_fEfQf_InN7GJFZDepjruYKf1n-qIylocHVKwGLGz2k7bNP-s-JrAs0fWlximxm16Or_unJc5K0l1yZimOvc9N9fE_mntN-eQk9v9QP9y6L-JuIZupDV_hCGecPMUuCJPcLMy6ERWw7b2rbDBiw2nA9Tq_6Jt5sGAngIQqYb6Che-yPb4tXSnI-kKHiHxUuNVCny_m2X1LZox3i-c75Pe08MYgA06o-1AVMtpiLu6i5Tj-N_H7So_uLpfZljWKCEusk7c_Fe5MyqpeEHU4wDI8JMusEkGuXdYrtJ3AKw-K8APfg_X8PW4swVTqnWb7rbwOoXqOYC3jhesIrrFs3OM-owJQMoz58ofinla6VeYQl-iGCBftKebJQLPYVcc3-tPghD50A41rQmW8kxtnoBr4DjwT47rVUMOPK_nXSeCSCiRDEb9Xmr87fO5Tx2P8ZOAjcCT85x-zFUjMRKd_7xl1Ff8NmIF0gnhw3tlzuUSCm0LoiQ-W6vIz2qPEJvhmDFCiCfVqjuxtmQQ3snKM2U9RNxptWbFGCZLdTvffTxZTiGxJEukNgZBb6c_tDwqtygBBuWM0rp9gebSTbhex31t9vCZ7pu_AiceRgP4R5zOIhpyxJ9SeNdg_jRgHxI9VsCKCRAZ3ZqCx9hKWVognk8_VdFXCkypAvdf8x00mPViEaS4k-iZibeoVI2-eEP2DhLELR5ZQApdpDl-kmSb02QzwbypwUAnpxOhkllVf9VnvYKCo9KFG5QkcoBivGPBdHIsUa5mGEoDCdrOrO6QKYx0O0rwyZ0e-fLsF4PXonjjUxNBBKMTpOEADvWdnd1JZcasAFsLq2zBG000jTKRZ8C9CISmpL0pWanbR39WGR-glx9KZyIe4jyAVWJTGYhWAhci\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Planning parallel environment and reference inspection**\"}]}","endedAt":1787385469330},{"type":"text","text":"I read this as a strict typing repair in one Python test file - I’ll load the required Python guidance, inspect the file and checker setup, then fix only its 25 diagnostics and run the exact validation commands.","textSignature":"{\"v\":1,\"id\":\"msg_0303f5a230a41a0e016a89567d4ebc87d0af3bb0ed74813984\",\"phase\":\"commentary\"}"},{"type":"toolCall","id":"call_QmbRlrpCC4MTGBDkm2sfQYee|fc_0303f5a230a41a0e016a895683e48c87d084708b96dad6cb13","name":"read","arguments":{"path":"/projects/richard/omo-native-pirate/packages/omo-senpi/plugin/skills/programming/references/python/README.md"}},{"type":"toolCall","id":"call_2lr3lritNwTEJGrNq4KQDvJ6|fc_0303f5a230a41a0e016a895683e4a087d08d0558057d0b82c0","name":"read","arguments":{"path":"/home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py"}},{"type":"toolCall","id":"call_4XzKg6rQvNx4Y4FmWSTyllWM|fc_0303f5a230a41a0e016a895683e4ac87d0a70e5e1e603750e6","name":"bash","arguments":{"command":"printf '%s\\n' '--- cwd ---'; pwd; printf '%s\\n' '--- PI env ---'; env | sort | grep '^PI_' || true; printf '%s\\n' '--- repo status ---'; git -C /home/cube/projects/richard/.worktrees/nutricoach-v111-impl status --short; printf '%s\\n' '--- relevant config ---'; find /home/cube/projects/richard/.worktrees/nutricoach-v111-impl -maxdepth 2 -type f \\( -name 'pyproject.toml' -o -name 'pytest.ini' -o -name 'tox.ini' -o -name 'basedpyrightconfig.json' \\) -print"}},{"type":"toolCall","id":"call_y4jXykUkmZsY342zb7Ok2saM|fc_0303f5a230a41a0e016a895683e4b487d0bef14f978ce11fa2","name":"bash","arguments":{"command":"cd /home/cube/projects/richard/.worktrees/nutricoach-v111-impl && uv run basedpyright tests/gateway/test_fake_telegram_bot_api.py","timeout":120}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-luna","usage":{"input":12673,"output":440,"cacheRead":0,"cacheWrite":0,"reasoning":66,"totalTokens":13113,"cost":{"input":0.0025346,"output":0.0005279999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0030626}},"stopReason":"toolUse","timestamp":1787385466045,"responseId":"resp_0303f5a230a41a0e016a89567ac11487d0a8b5e404513e381d","rawStopReason":"completed"}}
{"type":"message","id":"8814bfbb","parentId":"f6b8a945","timestamp":"2026-08-22T07:57:56.615Z","message":{"role":"toolResult","toolCallId":"call_QmbRlrpCC4MTGBDkm2sfQYee|fc_0303f5a230a41a0e016a895683e48c87d084708b96dad6cb13","toolName":"read","content":[{"type":"text","text":"\n# Python Programmer\n\nModern Python. Type-strict, stack-first, async-correct.\n\n## Philosophy\n\nThe type checker is your compiler. Make illegal states unrepresentable. Parse at boundaries. Own resources explicitly. Every function has a contract; the type system enforces it.\n\n## Hard rules\n\nThese are deliberate project choices. Violations are always wrong, not \"style preferences\".\n\n### Tooling\n\n| Category | Use | Never |\n|---|---|---|\n| Package manager | `uv` | pip, poetry, conda, pipenv |\n| Type checker | `basedpyright` (`typeCheckingMode = \"all\"`) | pyright, mypy |\n| Linter + formatter | `ruff` (`select = [\"ALL\"]`) | flake8, black, isort, autopep8 |\n| Async runtime | `anyio` | `import asyncio` |\n| Data | `polars` + `duckdb` + `numpy` | pandas |\n| Web framework | FastAPI + Pydantic v2 | Flask, Django REST |\n| ORM | SQLAlchemy 2.x async | Django ORM, Tortoise |\n| HTTP client | [`httpx2`](https://github.com/pydantic/httpx2) | requests, aiohttp, httpx |\n| Testing | `pytest` | unittest |\n| CLI | `typer` + `rich` | argparse, click, fire |\n\n### The iron list\n\n1. **Frozen by default** — `@dataclass(frozen=True, slots=True)`. Pydantic: `model_config = ConfigDict(frozen=True)`. Mutable only when mutation is the documented purpose.\n2. **NewType for distinct IDs** — `UserId = NewType(\"UserId\", int)`. Never pass raw `int` where a branded type exists.\n3. **`match` only for variants, `if` only for booleans** — **NEVER** use `if/elif/else` to discriminate on type (`isinstance`), enum value, or literal variant. `match/case` is mandatory for these — non-negotiable. **ALWAYS** end with `case unreachable: assert_never(unreachable)` — bare `case _: pass` and `case _: raise ValueError` are banned (they silently swallow new variants). `if/else` is fine only for boolean expressions, range checks, and predicate calls that aren't variant discrimination. See \"Why `if/elif` on variants is banned\" below for examples.\n4. **Protocol over ABC** — `typing.Protocol` for interfaces. ABC only when you need shared method implementation.\n5. **No raw dicts in signatures** — params and returns use `TypedDict`, `dataclass`, or Pydantic model. Internal scratch dicts are fine.\n6. **Parse, don't validate** — constructors produce typed objects or raise. Never pass unvalidated data deeper into the call stack.\n7. **Typed errors** — error types are dataclasses or exceptions with typed fields. Never `raise ValueError(\"something\")` with a bare string. Use union returns when the caller is within 1-2 call levels and must handle the outcome (repository → service). Use exceptions when the error should propagate up many layers to a boundary handler (service → HTTP handler).\n8. **Final for constants** — module-level constants use `Final`. Mutable module globals are a code smell.\n9. **Explicit None** — annotate `-> X | None`. Never return `None` from a function whose signature omits it.\n10. **Context managers for resources** — files, DB connections, HTTP clients, locks. No manual `.close()`.\n11. **No Any, no object** — both are banned as type annotations. `object` erases all structural information (zero callable attributes, zero narrowing). Use `Protocol` (structural typing), `TypeVar` (generic pass-through), explicit union (known variants), or `TypedDict` (dict shapes).\n12. **No cast** — `cast()` is banned. Redesign the types.\n13. **No type: ignore** — fix the type error. The checker is right; you are wrong.\n14. **No broad except** — `except Exception` and `except BaseException` are banned. Catch the **specific** exception you expect. A broad catch swallows bugs you need to see — `KeyError`, `AttributeError`, `TypeError` all vanish silently. If you genuinely need a catch-all at a top-level boundary (CLI entry, HTTP handler), use `# noqa: BROAD_EXCEPT_OK` and log + re-raise.\n\n### Typing and safety\n\n- `basedpyright` in `typeCheckingMode = \"all\"`. Every public function has full annotations. Internal helpers: annotate return type; parameter types may be inferred.\n- `ruff` with `select = [\"ALL\"]`. Override specific rules per project in `pyproject.toml`, never globally disable the strict baseline.\n- Every new function must have a `docstring` unless its name + signature makes it completely obvious (e.g. `def full_name(first: str, last: str) -> str:`).\n- Use `X | Y` union syntax (PEP 604), never `Union[X, Y]` or `Optional[X]`.\n\n### Why `object` is banned\n\n`object` pretends to be safe (\"it's the top type!\") but gives **zero** narrowing and **zero** attributes. Even `Any` is more honest — it admits the boundary is untyped.\n\n```python\n# BANNED\ndef process(data: object) -> object: ...\ndef store(items: list[object]) -> None: ...\nresults: dict[str, object] = {}\n\n# GOOD — Protocol for structural typing\nclass Serializable(Protocol):\n def serialize(self) -> bytes: ...\ndef process(data: Serializable) -> ProcessResult: ...\n\n# GOOD — TypeVar for generic pass-through\ndef identity[T](x: T) -> T: ...\ndef first[T](items: Sequence[T]) -> T: ...\n\n# GOOD — explicit union for known variants\ndef parse(raw: str | bytes) -> Document: ...\n```\n\n### Why `if/elif` on variants is banned\n\n`if/elif/else` chains on type, enum, or literal values lose compile-time exhaustiveness. When a new variant is added, nothing warns you. `match/case` + `assert_never` does.\n\n```python\n# BANNED — if/elif for type discrimination\nif isinstance(event, Click):\n handle_click(event.x, event.y)\nelif isinstance(event, Scroll):\n handle_scroll(event.delta)\nelse:\n raise ValueError(f\"Unknown: {event}\") # runtime bomb\n\n# BANNED — if/elif for enum discrimination\nif status == Status.PENDING:\n start_review()\nelif status == Status.ACTIVE:\n continue_processing()\nelif status == Status.CLOSED:\n archive()\n\n# BANNED — non-exhaustive match (swallows new variants)\nmatch event:\n case Click(x, y): handle_click(x, y)\n case _: pass\n\n# GOOD — exhaustive match with assert_never\nmatch event:\n case Click(x=x, y=y):\n handle_click(x, y)\n case Scroll(delta=delta):\n handle_scroll(delta)\n case unreachable:\n assert_never(unreachable)\n\n# GOOD — enum match\nmatch status:\n case Status.PENDING: start_review()\n case Status.ACTIVE: continue_processing()\n case Status.CLOSED: archive()\n case unreachable: assert_never(unreachable)\n```\n\n`if/else` is fine for boolean conditions and range checks — things that aren't variant discrimination:\n\n```python\n# FINE — boolean, not variant\nif age >= 18:\n grant_access()\nelse:\n deny_access()\n```\n\n### Why broad `except` is banned\n\n`except Exception` catches **every** non-system exception — `KeyError`, `TypeError`, `AttributeError`, `ValueError` all vanish. You lose the stack trace that would have told you exactly what went wrong. The fix is always to name the exception you expect.\n\n```python\n# BANNED — swallows bugs\ntry:\n result = api.fetch(url)\nexcept Exception as e:\n logger.error(e)\n return None\n\n# BANNED — catch-and-ignore\ntry:\n parse(data)\nexcept Exception:\n pass\n\n# GOOD — catch what you expect\ntry:\n result = api.fetch(url)\nexcept httpx.HTTPStatusError as e:\n logger.error(\"API %d: %s\", e.response.status_code, e.request.url)\n return None\nexcept httpx.ConnectError:\n raise ServiceUnavailableError(service=\"api\") from None\n\n# GOOD — top-level boundary (only place broad catch is acceptable)\ndef main() -> int: # noqa: BROAD_EXCEPT_OK\n try:\n return run()\n except Exception:\n logger.exception(\"unhandled error\")\n return 1\n```\n\n### Async\n\n- `import asyncio` is **BANNED**. Use `import anyio`.\n- For background tasks, use `anyio.create_task_group`. Never fire-and-forget with `asyncio.create_task`.\n- For concurrency gates, use `anyio.CapacityLimiter` (not `asyncio.Semaphore`).\n- Load `async-anyio.md` when writing async code for the full pattern library.\n\n### Data modeling — which container, when\n\nAll model fields carry type annotations. No `Any`, no untyped dicts in public APIs.\nUse `polars` + `duckdb` for data. pandas is never the right answer in this stack.\n\n| Situation | Use |\n|---|---|\n| User input, API request/response | `Pydantic BaseModel (frozen=True)` |\n| Internal value object (no I/O) | `@dataclass(frozen=True, slots=True)` |\n| Function with multiple outcomes | Union of frozen dataclasses + `match` |\n| Dict shape for JSON compat / `**kwargs` | `TypedDict` |\n| Fixed constants | `StrEnum` / `IntEnum` |\n| Distinct primitive (UserId vs MovieId) | `NewType` |\n| Contract / capability | `Protocol` |\n| Contract + shared implementation | `ABC` |\n| ORM model (SQLAlchemy) | `Mapped[]` — inherently mutable, `# noqa: MUTABLE_OK` |\n| Config from env vars | `pydantic-settings BaseSettings` |\n\n**The one rule**: data crosses trust boundary → Pydantic. Everything else → dataclass.\n\nLoad `data-modeling.md` for the full decision flowchart and comparison matrix.\n\n### When frozen=True does not apply\n\n- **ORM models** — SQLAlchemy `Mapped[]` requires mutation. Use `# noqa: MUTABLE_OK`.\n- **Builder / accumulator** — object exists to be mutated (counter, buffer, state machine). Docstring must explain why.\n- **Pydantic Settings** — tests override fields. Mutable is acceptable.\n\nIf you need `# noqa: MUTABLE_OK`, the class docstring must say why mutation is required.\n\n### Libraries\n\nCanonical defaults (override only if `pyproject.toml` explicitly picks something else):\n\n| Domain | Library | Reason |\n|---|---|---|\n| CLI | `typer` | Type-annotated CLI from function sigs |\n| Pretty output | `rich` | Tables, progress, tracebacks, markdown |\n| HTTP client | [`httpx2`](https://github.com/pydantic/httpx2) | Next-gen HTTP client (Pydantic stewardship), HTTP/2, brotli+zstd. Always `httpx2[http2,brotli,zstd]`. See `httpx2-optimization.md` |\n| Validation | `pydantic` v2 | Fast native validator, JSON Schema |\n| Web API | `fastapi` | Async, Pydantic-native, OpenAPI |\n| ORM | `sqlalchemy` 2.x async | `Mapped[]` types, async sessions |\n| DB driver (Postgres) | `asyncpg` (via SQLAlchemy) | Fastest PG driver |\n| AI agents | `pydantic-ai` | Typed deps, structured output |\n| TUI | `textual` | Rich-based, CSS layout, widgets |\n| Logging | `rich.logging.RichHandler` | Pretty; swap to `structlog` in prod |\n\n## pyproject.toml — the one true config\n\nScaffold a new project with all strict defaults pre-configured:\n\n```bash\nuv run ../../scripts/python/new-project.py myproject\nuv run ../../scripts/python/new-project.py myproject --path ./workspace\nuv run ../../scripts/python/new-project.py myproject --lib # publishable library\n```\n\nCreates via `uv init`, then injects basedpyright `typeCheckingMode = \"all\"` + ruff `select = [\"ALL\"]` + pytest strict. Cross-platform (macOS, Linux, Windows).\n\nFor manual setup: `uv init --app myproject`, then load `pyproject-strict.md`.\n\n## PEP 723 — inline script metadata (mandatory for ALL scripts)\n\nEvery `.py` script — even throwaway — MUST use PEP 723 inline metadata with the `# ─── How to run ───` comment block. No venv, no `requirements.txt`. The script IS the environment spec. A script without the usage comment block is incomplete.\n\nScaffold with: `uv run ../../scripts/python/new-script.py --deps \"httpx2[http2,brotli,zstd]\"` (writes to temp dir by default, `--output` for specific path).\n\nLoad `one-liners.md` for full patterns, examples, and anti-patterns.\n\n## Reference loading\n\nLoad on demand — not all at once.\n\n| Need | Load |\n|---|---|\n| Full pyproject.toml config | `pyproject-strict.md` |\n| Type patterns (NewType, Final, enums, narrowing) | `type-patterns.md` |\n| Data modeling (container choice, frozen, parse-don't-validate) | `data-modeling.md` |\n| Error handling (typed errors, union returns, exhaustive match) | `error-handling.md` |\n| Async patterns (anyio) | `async-anyio.md` |\n| Data processing (polars / duckdb) | `data-processing.md` |\n| FastAPI + SQLAlchemy stack | `fastapi-stack.md` |\n| Library decision tree | `libraries.md` |\n| **httpx2 optimization** (MUST load for any network code) | `httpx2-optimization.md` |\n| **orjson** (when JSON is in the hot path; FastAPI/Pydantic v2 integration) | `orjson-stack.md` |\n| One-liner scripts (PEP 723) | `one-liners.md` |\n| PydanticAI agents | `pydantic-ai.md` |\n| Textual TUI | `textual-tui.md` |\n\n## httpx2 — mandatory for ALL network requests\n\nEvery outgoing HTTP call MUST use [`httpx2`](https://github.com/pydantic/httpx2) (`httpx2[http2,brotli,zstd]`). Never `requests`, never `aiohttp`, never the original `httpx`.\n\n**ALL optimizations are ON by default — not optional, not progressive, not \"nice to have\".** A bare `httpx2.AsyncClient()` is a bug — treat it like a lint violation. The correct way is the factory pattern in `httpx2-optimization.md` with: HTTP/2 enabled, tuned connection pool (200/40/30s), split timeouts (5/30/10/10), transport retries (3), TCP_NODELAY, follow_redirects, and event hooks for observability.\n\nWhen writing or reviewing ANY network code, **ALWAYS load `httpx2-optimization.md`** and use the factory pattern verbatim. No exceptions.\n\n## No-excuse audit\n\nViolations caught by `../../scripts/python/check-no-excuse-rules.py`. Run after every edit session.\n\n| Rule ID | Catches | Opt-out |\n|---|---|---|\n| `cast-any` | `cast(Any, ...)` | None — redesign types |\n| `type-ignore` | `# type: ignore` | None — fix the type |\n| `pyright-ignore` | `# pyright: ignore` | None — fix the type |\n| `bare-except` | `except:` with no class | None — name the exception |\n| `silent-except` | `except X: pass` / `except X: ...` | None — handle or re-raise |\n| `no-asyncio` | `import asyncio` | `# noqa: ANYIO_OK` |\n| `no-pandas` | `import pandas` | `# noqa: PANDAS_OK` |\n| `mutable-dataclass` | `@dataclass` without `frozen=True` | `# noqa: MUTABLE_OK` |\n| `missing-slots` | `@dataclass` without `slots=True` | `# noqa: SLOTS_OK` |\n| `raw-dict-return` | `-> dict` in function return type | `# noqa: DICT_OK` |\n| `missing-assert-never` | `match` block without `assert_never` default | `# noqa: MATCH_OK` |\n| `generic-exception` | `raise ValueError(\"...\")` / `raise TypeError(\"...\")` with bare string | `# noqa: GENERIC_ERR_OK` |\n| `no-object` | `object` used as type annotation (param, return, generic arg) | `# noqa: OBJECT_OK` |\n| `if-elif-on-variant` | `if isinstance()`/`if x == Enum.V` chain that should be `match/case` | `# noqa: IF_VARIANT_OK` |\n| `oversized-module` | File exceeds 250 pure LOC (non-blank, non-comment) | `# noqa: SIZE_OK` |\n| `broad-except` | `except Exception` / `except BaseException` (too broad) | `# noqa: BROAD_EXCEPT_OK` |\n\nFix every violation before declaring work done. basedpyright + ruff strict config catches the rest.\n\n## In tests\n\nTests are strict too, with these exceptions (already configured in `pyproject.toml` per-file-ignores):\n\n| In tests you may | Why |\n|---|---|\n| Use `assert` | That's how pytest works (`S101` ignored) |\n| Use magic numbers | Test data (`PLR2004` ignored) |\n| Access `_private` members | Testing internals (`SLF001` ignored) |\n| Skip docstrings | Test names are the docs (`D` ignored) |\n| Have unused function args | Fixtures (`ARG` ignored) |\n\nTests still follow the iron list — frozen dataclasses, typed errors, exhaustive match. If test fixtures need mutable state, use `# noqa: MUTABLE_OK` on the fixture class.\n\n## Existing codebases\n\nWhen editing an existing file that doesn't follow these rules: **write new code in strict style, don't refactor existing code in the same change.** Mixing feature work with style migration makes reviews harder and bugs likelier.\n\n## Activation\n\nThis skill activates whenever you are writing or modifying any `.py` file. Even one-off scripts get the strict treatment — that is the whole point of PEP 723 + uv: production hygiene with throwaway ergonomics.\n"}],"isError":false,"timestamp":1787385476615}}
{"type":"message","id":"5b637d44","parentId":"8814bfbb","timestamp":"2026-08-22T07:57:56.615Z","message":{"role":"toolResult","toolCallId":"call_2lr3lritNwTEJGrNq4KQDvJ6|fc_0303f5a230a41a0e016a895683e4a087d08d0558057d0b82c0","toolName":"read","content":[{"type":"text","text":"from __future__ import annotations\n\nimport http.client\nimport json\nimport stat\nfrom concurrent.futures import ThreadPoolExecutor\nfrom pathlib import Path\n\nfrom telegram import Update\n\nfrom scripts.dualcoach_v111_evidence import write_text\nfrom scripts.dualcoach_v111_fake_telegram import (\n CallbackQueryUpdate,\n FakeTelegramApi,\n MessageUpdate,\n)\nfrom tests.support.fake_telegram_client import (\n message_response as _message_response,\n post as _post,\n)\n\n\ndef test_identity_chat_and_membership_methods_return_telegram_shapes() -> None:\n # Given: a started loopback fake with its deterministic default fixtures.\n with FakeTelegramApi() as api:\n # When: Telegram startup identity and membership methods are called.\n me = _post(api, \"getMe\")\n chat = _post(api, \"getChat\", chat_id=-100700)\n member = _post(api, \"getChatMember\", chat_id=-100700, user_id=7000000002)\n\n # Then: each response carries the Telegram-compatible typed fixture.\n assert me == {\n \"ok\": True,\n \"result\": {\n \"first_name\": \"Disposable NutriCoach\",\n \"id\": 7000000002,\n \"is_bot\": True,\n \"username\": \"disposable_nutricoach_bot\",\n },\n }\n assert chat == {\n \"ok\": True,\n \"result\": {\"id\": -100700, \"title\": \"Disposable Staff\", \"type\": \"supergroup\"},\n }\n assert member == {\n \"ok\": True,\n \"result\": {\n \"status\": \"administrator\",\n \"user\": {\n \"first_name\": \"Disposable NutriCoach\",\n \"id\": 7000000002,\n \"is_bot\": True,\n \"username\": \"disposable_nutricoach_bot\",\n },\n \"can_be_edited\": False,\n \"is_anonymous\": False,\n \"can_manage_chat\": True,\n \"can_delete_messages\": True,\n \"can_manage_video_chats\": True,\n \"can_restrict_members\": True,\n \"can_promote_members\": False,\n \"can_change_info\": True,\n \"can_invite_users\": True,\n \"can_post_stories\": False,\n \"can_edit_stories\": False,\n \"can_delete_stories\": False,\n },\n }\n\n\ndef test_customer_is_absent_from_staff_chat() -> None:\n # Given: the disposable customer and staff chat used by activation readiness.\n with FakeTelegramApi() as api:\n # When: production membership readiness checks customer isolation.\n member = _post(api, \"getChatMember\", chat_id=-100700, user_id=200)\n\n # Then: the fake proves absence rather than granting staff membership.\n assert member == {\n \"ok\": True,\n \"result\": {\n \"status\": \"left\",\n \"user\": {\"first_name\": \"User\", \"id\": 200, \"is_bot\": False},\n },\n }\n\n\ndef test_configured_customer_and_owner_are_members_of_callback_routes() -> None:\n # Given: the callback routes used by the disposable customer and owner.\n with FakeTelegramApi() as api:\n # When: runtime callback membership gates query those exact routes.\n customer = _post(api, \"getChatMember\", chat_id=200, user_id=200)\n owner = _post(api, \"getChatMember\", chat_id=-100700, user_id=100)\n\n # Then: each authorized actor is present without granting unrelated membership.\n assert customer == {\n \"ok\": True,\n \"result\": {\n \"status\": \"member\",\n \"user\": {\"first_name\": \"User\", \"id\": 200, \"is_bot\": False},\n },\n }\n assert owner == {\n \"ok\": True,\n \"result\": {\n \"status\": \"member\",\n \"user\": {\"first_name\": \"User\", \"id\": 100, \"is_bot\": False},\n },\n }\n\n\ndef test_get_updates_applies_exact_offsets_to_monotonic_updates() -> None:\n # Given: three typed updates queued in creation order.\n with FakeTelegramApi() as api:\n first = api.enqueue_update(MessageUpdate(chat_id=41, user_id=7, text=\"one\"))\n second = api.enqueue_update(MessageUpdate(chat_id=41, user_id=7, text=\"two\"))\n third = api.enqueue_update(\n CallbackQueryUpdate(\n chat_id=41,\n user_id=7,\n message_id=9,\n callback_query_id=\"private-callback-id\",\n data=\"private-callback-data\",\n )\n )\n\n # When: polling acknowledges through the second update exactly.\n response = _post(api, \"getUpdates\", offset=third)\n\n # Then: IDs are monotonic and only the exact unacknowledged suffix is returned.\n assert (first, second, third) == (1, 2, 3)\n assert response == {\n \"ok\": True,\n \"result\": [\n {\n \"callback_query\": {\n \"chat_instance\": \"loopback-chat-41\",\n \"data\": \"private-callback-data\",\n \"from\": {\"first_name\": \"User\", \"id\": 7, \"is_bot\": False},\n \"id\": \"private-callback-id\",\n \"message\": {\n \"chat\": {\"id\": 41, \"type\": \"private\"},\n \"date\": 0,\n \"from\": {\n \"first_name\": \"Disposable NutriCoach\",\n \"id\": 7000000002,\n \"is_bot\": True,\n \"username\": \"disposable_nutricoach_bot\",\n },\n \"message_id\": 9,\n },\n },\n \"update_id\": 3,\n }\n ],\n }\n assert Update.de_json(response[\"result\"][0], bot=None).callback_query is not None\n\n\ndef test_command_updates_include_telegram_bot_command_entities() -> None:\n # Given: an incoming command update addressed to the disposable bot.\n with FakeTelegramApi() as api:\n _ = api.enqueue_update(\n MessageUpdate(chat_id=41, user_id=7, text=\"/start rc1_abcdefghijklmnopqrstuv\")\n )\n\n # When: the polling API returns the typed update.\n response = _post(api, \"getUpdates\")\n\n # Then: PTB's command filter receives the entity Telegram supplies in production.\n assert response[\"result\"][0][\"message\"][\"entities\"] == [\n {\"length\": 6, \"offset\": 0, \"type\": \"bot_command\"}\n ]\n\n\ndef test_send_and_edit_message_use_monotonic_ids_and_not_modified_error() -> None:\n # Given: a started fake Telegram API.\n with FakeTelegramApi() as api:\n # When: two messages are sent, one is edited, and the same edit is repeated.\n sent = _post(api, \"sendMessage\", chat_id=41, text=\"private first\")\n sent_again = _post(api, \"sendMessage\", chat_id=41, text=\"private second\")\n edited = _post(\n api,\n \"editMessageText\",\n chat_id=41,\n message_id=1,\n text=\"private replacement\",\n )\n unchanged = _post(\n api,\n \"editMessageText\",\n chat_id=41,\n message_id=1,\n text=\"private replacement\",\n )\n\n # Then: IDs increase and Telegram's not-modified contract is preserved.\n assert sent == _message_response(1, \"private first\")\n assert sent_again == _message_response(2, \"private second\")\n assert edited == _message_response(1, \"private replacement\")\n assert unchanged == {\n \"description\": \"Bad Request: message is not modified\",\n \"error_code\": 400,\n \"ok\": False,\n }\n\n\ndef test_callback_action_future_resolves_after_inline_keyboard_edit() -> None:\n # Given: a callback future subscribed before a generated operator card update.\n with FakeTelegramApi() as api:\n target = api.callback_action_future(\n \"approved-draft\",\n prefix=\"n3:\",\n action=\"a\",\n )\n _ = _post(api, \"sendMessage\", chat_id=41, text=\"private pending\")\n\n # When: the real card surface edits in an approval action.\n _ = _post(\n api,\n \"editMessageText\",\n chat_id=41,\n message_id=1,\n text=\"private generated\",\n reply_markup=(\n '{\"inline_keyboard\":[[{' \n '\"callback_data\":\"n3:draft:a:nonce:1\",\"text\":\"Approve\"}]]}'\n ),\n )\n selected = target.result(timeout=2.0)\n\n # Then: the waiter observes only the edited card's opaque action.\n assert selected == (41, 1, \"n3:draft:a:nonce:1\")\n\n\ndef test_callback_actions_future_resolves_terminal_generation_action() -> None:\n # Given: a terminal-card waiter subscribed to either production action.\n with FakeTelegramApi() as api:\n target = api.callback_actions_future(\n \"terminal-draft\",\n prefix=\"n3:\",\n actions=(\"a\", \"r\"),\n )\n\n # When: the model rejects generation and exposes only a retry control.\n _ = _post(\n api,\n \"sendMessage\",\n chat_id=41,\n text=\"private failure\",\n reply_markup=(\n '{\"inline_keyboard\":[[{' \n '\"callback_data\":\"n3:draft:r:nonce:1\",\"text\":\"Retry\"}]]}'\n ),\n )\n selected = target.result(timeout=2.0)\n\n # Then: the selected opaque callback carries the matched terminal action.\n assert selected == (41, 1, \"n3:draft:r:nonce:1\", \"r\")\n\n\ndef test_edit_message_updates_keyboard_when_text_is_unchanged() -> None:\n # Given: a generated card whose text remains stable across approval.\n with FakeTelegramApi() as api:\n target = api.callback_action_future(\n \"delivery-control\",\n prefix=\"n3:\",\n action=\"s\",\n )\n _ = _post(\n api,\n \"sendMessage\",\n chat_id=41,\n text=\"private generated\",\n reply_markup=(\n '{\"inline_keyboard\":[[{' \n '\"callback_data\":\"n3:draft:a:nonce:1\",\"text\":\"Approve\"}]]}'\n ),\n )\n\n # When: approval changes only the inline keyboard.\n edited = _post(\n api,\n \"editMessageText\",\n chat_id=41,\n message_id=1,\n text=\"private generated\",\n reply_markup=(\n '{\"inline_keyboard\":[[{' \n '\"callback_data\":\"n3:draft:s:nonce:1\",\"text\":\"Send\"}]]}'\n ),\n )\n\n # Then: the fake preserves Telegram's text-plus-markup modification contract.\n assert edited == _message_response(1, \"private generated\")\n assert target.result(timeout=2.0) == (41, 1, \"n3:draft:s:nonce:1\")\n\n\ndef test_callback_actions_future_prefers_first_action_on_generated_card() -> None:\n # Given: success and retry controls share one generated operator card.\n with FakeTelegramApi() as api:\n target = api.callback_actions_future(\n \"generated-draft\",\n prefix=\"n3:\",\n actions=(\"a\", \"r\"),\n )\n\n # When: production publishes both controls in one keyboard.\n _ = _post(\n api,\n \"sendMessage\",\n chat_id=41,\n text=\"private generated\",\n reply_markup=(\n '{\"inline_keyboard\":[['\n '{\"callback_data\":\"n3:draft:a:nonce:1\",\"text\":\"Approve\"},'\n '{\"callback_data\":\"n3:draft:r:nonce:1\",\"text\":\"Retry\"}]]}'\n ),\n )\n selected = target.result(timeout=2.0)\n\n # Then: action priority selects approval instead of leaving the waiter unresolved.\n assert selected == (41, 1, \"n3:draft:a:nonce:1\", \"a\")\n\n\ndef test_edit_message_reply_markup_retires_an_inline_keyboard() -> None:\n # Given: a sent card with an inline callback button.\n with FakeTelegramApi() as api:\n sent = _post(\n api,\n \"sendMessage\",\n chat_id=41,\n text=\"private card\",\n reply_markup='{\"inline_keyboard\":[[{\"callback_data\":\"opaque\",\"text\":\"Confirm\"}]]}',\n )\n\n # When: production's callback-retirement API removes its markup.\n retired = _post(api, \"editMessageReplyMarkup\", chat_id=41, message_id=1)\n unchanged = _post(api, \"editMessageReplyMarkup\", chat_id=41, message_id=1)\n\n # Then: removal returns the original message and repeated removal is rejected.\n assert sent == _message_response(1, \"private card\")\n assert retired == _message_response(1, \"private card\")\n assert unchanged == {\n \"description\": \"Bad Request: message is not modified\",\n \"error_code\": 400,\n \"ok\": False,\n }\n\n\ndef test_json_send_message_preserves_inline_callback_protocol() -> None:\n # Given: the JSON request shape python-telegram-bot uses for inline markup.\n with FakeTelegramApi() as api:\n callback_future = api.callback_future(\n \"consent-grant\",\n prefix=\"cc1:\",\n suffix=\":g\",\n )\n connection = http.client.HTTPConnection(\"127.0.0.1\", api.port, timeout=2.0)\n try:\n connection.request(\n \"POST\",\n \"/bottest-token/sendMessage\",\n body=json.dumps(\n {\n \"chat_id\": 41,\n \"text\": \"private card\",\n \"reply_markup\": {\n \"inline_keyboard\": [[{\"callback_data\": \"cc1:opaque:g\", \"text\": \"Grant\"}]]\n },\n }\n ),\n headers={\"Content-Type\": \"application/json\"},\n )\n assert connection.getresponse().status == 200\n finally:\n connection.close()\n\n # When: the card callback is selected from the fake Telegram surface.\n target = callback_future.result(timeout=2.0)\n\n # Then: nested JSON was retained and the intended callback is selected exactly.\n assert target == (41, 1, \"cc1:opaque:g\")\n\n\ndef test_auxiliary_bot_methods_and_command_state_are_supported() -> None:\n # Given: command and webhook-compatible request payloads.\n with FakeTelegramApi() as api:\n # When: callback, typing, command, and webhook methods are exercised.\n answered = _post(api, \"answerCallbackQuery\", callback_query_id=\"secret-id\")\n typing = _post(api, \"sendChatAction\", chat_id=41, action=\"typing\")\n commands = _post(\n api,\n \"setMyCommands\",\n commands='[{\"command\":\"start\",\"description\":\"Start\"}]',\n )\n webhook = _post(api, \"getWebhookInfo\")\n deleted_commands = _post(api, \"deleteMyCommands\")\n deleted_webhook = _post(api, \"deleteWebhook\", drop_pending_updates=\"true\")\n\n # Then: Telegram-compatible success values are returned.\n assert (answered, typing, commands, deleted_commands, deleted_webhook) == (\n {\"ok\": True, \"result\": True},\n {\"ok\": True, \"result\": True},\n {\"ok\": True, \"result\": True},\n {\"ok\": True, \"result\": True},\n {\"ok\": True, \"result\": True},\n )\n assert webhook == {\n \"ok\": True,\n \"result\": {\n \"has_custom_certificate\": False,\n \"pending_update_count\": 0,\n \"url\": \"\",\n },\n }\n\n\ndef test_named_action_future_synchronizes_without_polling() -> None:\n # Given: a future registered before the exact action is triggered.\n with FakeTelegramApi() as api:\n action_future = api.action_future(\"typing-observed\", \"sendChatAction\")\n\n # When: a request runs concurrently with the waiter.\n with ThreadPoolExecutor(max_workers=1) as executor:\n request_future = executor.submit(\n _post,\n api,\n \"sendChatAction\",\n chat_id=41,\n action=\"typing\",\n )\n action = action_future.result(timeout=2.0)\n response = request_future.result(timeout=2.0)\n\n # Then: the named future resolves to sanitized metadata only.\n assert response == {\"ok\": True, \"result\": True}\n assert action.method == \"sendChatAction\"\n assert action.chat_id == 41\n\n\ndef test_action_log_is_append_only_and_omits_tokens_and_message_content() -> None:\n # Given: requests containing a token, text, callback data, and callback identity.\n with FakeTelegramApi() as api:\n _ = _post(api, \"sendMessage\", chat_id=41, text=\"TOP SECRET MESSAGE\")\n _ = _post(\n api,\n \"answerCallbackQuery\",\n callback_query_id=\"TOP-SECRET-CALLBACK\",\n text=\"TOP SECRET ANSWER\",\n )\n\n # When: the append-only sanitized log is rendered.\n first_snapshot = api.sanitized_actions()\n rendered = api.render_action_log()\n\n # Then: order is stable and no credential or content crosses the log boundary.\n assert tuple(action.sequence for action in first_snapshot) == (1, 2)\n assert tuple(action.method for action in first_snapshot) == (\n \"sendMessage\",\n \"answerCallbackQuery\",\n )\n assert \"test-token\" not in rendered\n assert \"TOP SECRET\" not in rendered\n assert \"TOP-SECRET-CALLBACK\" not in rendered\n\n\ndef test_private_evidence_is_atomic_and_server_cleanup_releases_port(\n tmp_path: Path,\n) -> None:\n # Given: a private evidence destination and a running loopback fake.\n evidence_dir = tmp_path / \"evidence\"\n evidence_dir.mkdir(mode=0o700)\n api = FakeTelegramApi()\n api.start()\n port = api.port\n\n # When: sanitized evidence is atomically replaced and the fake is closed.\n _ = _post(api, \"getMe\")\n write_text(evidence_dir / \"actions.jsonl\", api.render_action_log())\n api.close()\n\n # Then: evidence is private, temporary files are absent, and cleanup completed.\n assert stat.S_IMODE(evidence_dir.stat().st_mode) == 0o700\n assert stat.S_IMODE((evidence_dir / \"actions.jsonl\").stat().st_mode) == 0o600\n assert tuple(evidence_dir.glob(\".*.tmp\")) == ()\n assert api.is_closed\n assert api.port == port\n"}],"isError":false,"timestamp":1787385476615}}
{"type":"message","id":"f3c5fb9a","parentId":"5b637d44","timestamp":"2026-08-22T07:57:56.615Z","message":{"role":"toolResult","toolCallId":"call_4XzKg6rQvNx4Y4FmWSTyllWM|fc_0303f5a230a41a0e016a895683e4ac87d0a70e5e1e603750e6","toolName":"bash","content":[{"type":"text","text":"--- cwd ---\n/home/cube/projects/richard/traning coach\n--- PI env ---\nPI_CODING_AGENT=true\nPI_MODEL=gpt-5.6-luna\nPI_PROMPT_CACHE_SAFE_WAIT_SECONDS=270\nPI_PROVIDER=openai-codex\nPI_REASONING_LEVEL=high\nPI_SESSION_FILE=/home/cube/projects/richard/traning coach/.omo/senpi-task/children/st_01a02879/sessions/st_01a02879/2026-08-22T07-57-46-036Z_01a02879-ccb4-791d-9169-d07ff8b7ff44.jsonl\nPI_SESSION_ID=01a02879-ccb4-791d-9169-d07ff8b7ff44\n--- repo status ---\n M dualcoach/profile/build/lib/checkin_cli/customer_coaching.py\n M dualcoach/profile/build/lib/checkin_cli/models.py\n M dualcoach/profile/build/lib/checkin_cli/wizard.py\n M dualcoach/profile/build/lib/checkin_cli/wizard_models.py\n M dualcoach/profile/checkin_cli/customer_coaching.py\n M dualcoach/profile/checkin_cli/models.py\n M dualcoach/profile/checkin_cli/wizard.py\n M dualcoach/profile/checkin_cli/wizard_models.py\n M gateway/platforms/dualcoach_admin.py\n M gateway/platforms/nutrition_coaching.py\n M gateway/platforms/physique_checkin.py\n M gateway/platforms/telegram.py\n M gateway/platforms/telegram_customer_bootstrap.py\n M gateway/platforms/telegram_customer_bootstrap_registration.py\n M gateway/platforms/telegram_nutrition_onboarding_runtime.py\n M gateway/platforms/telegram_polling_receipts.py\n M gateway/platforms/telegram_staff_membership_gate.py\n M gateway/run.py\n M hermes_cli/env_loader.py\n M tests/gateway/test_nutrition_coaching.py\n M tests/gateway/test_telegram_group_gating.py\n M tests/gateway/test_telegram_physique_checkin.py\n?? .debug-journal.md\n?? .disposable-e2e-evidence/\n?? .omo/\n?? disposable-e2e-red.txt\n?? docs/dualcoach-v1.1.1-migration.md\n?? dualcoach/profile/build/lib/checkin_cli/policies/diagnostic-promotion-policy.json\n?? dualcoach/profile/build/lib/checkin_cli/policies/nutrition-restriction-kb-template-v1.json\n?? dualcoach/profile/checkin_cli/policies/diagnostic-promotion-policy.json\n?? dualcoach/profile/checkin_cli/policies/nutrition-restriction-kb-template-v1.json\n?? dualcoach/profile/physique_checkin_cli.egg-info/\n?? dualcoach/profile/tests/test_trainer_wizard.py\n?? gateway/platforms/dualcoach_profile_package.py\n?? gateway/platforms/telegram_nutrition_menu.py\n?? gateway/platforms/telegram_production_preflight.py\n?? scripts/compare_dualcoach_v111_seals.py\n?? scripts/dualcoach_v111_disposable_fixture.py\n?? scripts/dualcoach_v111_disposable_process.py\n?? scripts/dualcoach_v111_evidence.py\n?? scripts/dualcoach_v111_fake_telegram.py\n?? scripts/dualcoach_v111_fake_telegram_engine.py\n?? scripts/dualcoach_v111_fake_telegram_types.py\n?? scripts/dualcoach_v111_loopback_model.py\n?? scripts/migrate_dualcoach_v111_profile.py\n?? scripts/plan_dualcoach_v111_migration.py\n?? scripts/run_dualcoach_v111_disposable_e2e.py\n?? tests/gateway/test_dualcoach_admin_loopback.py\n?? tests/gateway/test_dualcoach_disposable_e2e_contract.py\n?? tests/gateway/test_dualcoach_loopback_model_provider.py\n?? tests/gateway/test_dualcoach_profile_package.py\n?? tests/gateway/test_dualcoach_v111_migration.py\n?? tests/gateway/test_fake_telegram_bot_api.py\n?? tests/gateway/test_telegram_nutrition_onboarding_recovery.py\n?? tests/gateway/test_telegram_production_preflight.py\n?? tests/gateway/test_telegram_publication_recovery.py\n?? tests/support/\n--- relevant config ---\n/home/cube/projects/richard/.worktrees/nutricoach-v111-impl/pyproject.toml\n"}],"isError":false,"timestamp":1787385476615}}
{"type":"message","id":"ee186b6e","parentId":"f3c5fb9a","timestamp":"2026-08-22T07:57:56.615Z","message":{"role":"toolResult","toolCallId":"call_y4jXykUkmZsY342zb7Ok2saM|fc_0303f5a230a41a0e016a895683e4b487d0bef14f978ce11fa2","toolName":"bash","content":[{"type":"text","text":"/home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:156:27 - error: \"Literal[0]\" 형식의 인수를 \"__getitem__\" 함수에서 \"str\" 형식의 \"key\" 매개 변수에 할당할 수 없습니다.\n \"Literal[0]\"은 \"str\"에 할당할 수 없습니다. (reportArgumentType)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:156:27 - error: \"__getitem__\" 메서드가 \"bool\" 형식에 정의되지 않았습니다. (reportIndexIssue)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:156:27 - error: \"__getitem__\" 메서드가 \"int\" 형식에 정의되지 않았습니다. (reportIndexIssue)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:156:27 - error: \"__getitem__\" 메서드가 \"float\" 형식에 정의되지 않았습니다. (reportIndexIssue)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:156:27 - error: ’None’ 유형의 개체는 아래 첨자를 사용할 수 없습니다. (reportOptionalSubscript)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:156:27 - error: \"JsonValue | str | Unknown\" 형식의 인수를 \"de_json\" 함수에서 \"JSONDict\" 형식의 \"data\" 매개 변수에 할당할 수 없습니다.\n 형식 \"JsonValue | Unknown\"은 형식 \"JSONDict\"에 할당할 수 없습니다.\n \"float\"은 \"dict[str, Any]\"에 할당할 수 없습니다. (reportArgumentType)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:170:12 - error: \"Literal[0]\" 형식의 인수를 \"__getitem__\" 함수에서 \"str\" 형식의 \"key\" 매개 변수에 할당할 수 없습니다.\n \"Literal[0]\"은 \"str\"에 할당할 수 없습니다. (reportArgumentType)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:170:12 - error: \"__getitem__\" 메서드가 \"bool\" 형식에 정의되지 않았습니다. (reportIndexIssue)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:170:12 - error: \"__getitem__\" 메서드가 \"int\" 형식에 정의되지 않았습니다. (reportIndexIssue)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:170:12 - error: \"__getitem__\" 메서드가 \"float\" 형식에 정의되지 않았습니다. (reportIndexIssue)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:170:12 - error: ’None’ 유형의 개체는 아래 첨자를 사용할 수 없습니다. (reportOptionalSubscript)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:170:12 - error: 제공된 인수와 일치하는 \"__getitem__\"에 대한 오버로드가 없습니다. (reportCallIssue)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:170:12 - error: \"Literal['message']\" 형식의 인수를 \"__getitem__\" 함수에서 \"slice[SupportsIndex | None, SupportsIndex | None, SupportsIndex | None]\" 형식의 \"s\" 매개 변수에 할당할 수 없습니다.\n \"Literal['message']\"은 \"slice[SupportsIndex | None, SupportsIndex | None, SupportsIndex | None]\"에 할당할 수 없습니다. (reportArgumentType)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:170:12 - error: \"Literal['message']\" 형식의 인수를 \"__getitem__\" 함수에서 \"SupportsIndex | slice[SupportsIndex | None, SupportsIndex | None, SupportsIndex | None]\" 형식의 \"key\" 매개 변수에 할당할 수 없습니다.\n 형식 \"Literal['message']\"은 형식 \"SupportsIndex | slice[SupportsIndex | None, SupportsIndex | None, SupportsIndex | None]\"에 할당할 수 없습니다.\n ‘Literal['message']’은(는) ‘SupportsIndex’ 프로토콜과 호환되지 않습니다.\n \"__index__\"이(가) 없습니다.\n \"Literal['message']\"은 \"slice[SupportsIndex | None, SupportsIndex | None, SupportsIndex | None]\"에 할당할 수 없습니다. (reportArgumentType)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:170:12 - error: \"__getitem__\" 메서드가 \"bool\" 형식에 정의되지 않았습니다. (reportIndexIssue)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:170:12 - error: \"__getitem__\" 메서드가 \"int\" 형식에 정의되지 않았습니다. (reportIndexIssue)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:170:12 - error: \"__getitem__\" 메서드가 \"float\" 형식에 정의되지 않았습니다. (reportIndexIssue)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:170:12 - error: ’None’ 유형의 개체는 아래 첨자를 사용할 수 없습니다. (reportOptionalSubscript)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:170:12 - error: 제공된 인수와 일치하는 \"__getitem__\"에 대한 오버로드가 없습니다. (reportCallIssue)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:170:12 - error: \"Literal['entities']\" 형식의 인수를 \"__getitem__\" 함수에서 \"slice[SupportsIndex | None, SupportsIndex | None, SupportsIndex | None]\" 형식의 \"s\" 매개 변수에 할당할 수 없습니다.\n \"Literal['entities']\"은 \"slice[SupportsIndex | None, SupportsIndex | None, SupportsIndex | None]\"에 할당할 수 없습니다. (reportArgumentType)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:170:12 - error: \"Literal['entities']\" 형식의 인수를 \"__getitem__\" 함수에서 \"SupportsIndex | slice[SupportsIndex | None, SupportsIndex | None, SupportsIndex | None]\" 형식의 \"key\" 매개 변수에 할당할 수 없습니다.\n 형식 \"Literal['entities']\"은 형식 \"SupportsIndex | slice[SupportsIndex | None, SupportsIndex | None, SupportsIndex | None]\"에 할당할 수 없습니다.\n ‘Literal['entities']’은(는) ‘SupportsIndex’ 프로토콜과 호환되지 않습니다.\n \"__index__\"이(가) 없습니다.\n \"Literal['entities']\"은 \"slice[SupportsIndex | None, SupportsIndex | None, SupportsIndex | None]\"에 할당할 수 없습니다. (reportArgumentType)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:170:12 - error: \"__getitem__\" 메서드가 \"bool\" 형식에 정의되지 않았습니다. (reportIndexIssue)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:170:12 - error: \"__getitem__\" 메서드가 \"int\" 형식에 정의되지 않았습니다. (reportIndexIssue)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:170:12 - error: \"__getitem__\" 메서드가 \"float\" 형식에 정의되지 않았습니다. (reportIndexIssue)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:170:12 - error: ’None’ 유형의 개체는 아래 첨자를 사용할 수 없습니다. (reportOptionalSubscript)\n25 errors, 0 warnings, 0 notes\n\n\nCommand exited with code 1"}],"details":{},"isError":true,"timestamp":1787385476615}}
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{"type":"message","id":"d84cc863","parentId":"0309bba8","timestamp":"2026-08-22T07:58:04.136Z","message":{"role":"toolResult","toolCallId":"call_kGm4JOiS1NRG0AI5Lgy7zFAB|fc_0303f5a230a41a0e016a89568c05cc87d0a0f6a62e4a94723f","toolName":"read","content":[{"type":"text","text":"# Type Patterns\n\nHow to use Python's type system to catch bugs at check time, not runtime.\n\n---\n\n## NewType — distinct primitives\n\nSame runtime type, different meaning. The type checker prevents mixing.\n\n```python\nfrom typing import NewType\n\nUserId = NewType(\"UserId\", int)\nMovieId = NewType(\"MovieId\", int)\nEmail = NewType(\"Email\", str)\nSeconds = NewType(\"Seconds\", float)\nMilliseconds = NewType(\"Milliseconds\", float)\n\ndef get_user(user_id: UserId) -> User: ...\ndef get_movie(movie_id: MovieId) -> Movie: ...\ndef sleep(duration: Seconds) -> None: ...\n\nuid = UserId(42)\nmid = MovieId(42)\n\nget_user(uid) # OK\nget_user(mid) # type error: MovieId is not UserId\nget_user(42) # type error: int is not UserId\nsleep(Milliseconds(100.0)) # type error\n```\n\n**Use when**: IDs, indices, keys, units of measurement — any pair where swapping is a bug.\n**Skip when**: ephemeral local math where branding adds noise with zero safety gain.\n\n---\n\n## Final — constants are const\n\nModule-level constants declare their intent. Reassignment is a type error.\n\n```python\nfrom typing import Final\n\nMAX_RETRIES: Final = 3\nAPI_BASE_URL: Final = \"https://api.example.com\"\nDEFAULT_TIMEOUT: Final = 30.0\n\nMAX_RETRIES = 5 # type error: cannot assign to Final\n```\n\nIf it changes at runtime, it's not a constant — make it a function parameter or config field.\n\n---\n\n## TypeAlias — name complex types\n\nIf a union or generic appears more than once, give it a name.\n\n```python\n# Python 3.12+\ntype JsonValue = str | int | float | bool | None | list[\"JsonValue\"] | dict[str, \"JsonValue\"]\ntype Headers = dict[str, str]\ntype Middleware = Callable[[Request], Awaitable[Response]]\n\n# Pre-3.12\nfrom typing import TypeAlias\n\nJsonValue: TypeAlias = str | int | float | bool | None | list[\"JsonValue\"] | dict[str, \"JsonValue\"]\n```\n\n---\n\n## StrEnum / IntEnum — closed sets\n\nAny fixed set of known values. No string literals scattered through code.\n\n```python\nfrom enum import StrEnum, IntEnum, unique\n\n@unique\nclass Role(StrEnum):\n ADMIN = \"admin\"\n USER = \"user\"\n GUEST = \"guest\"\n\n@unique\nclass HttpStatus(IntEnum):\n OK = 200\n NOT_FOUND = 404\n INTERNAL_ERROR = 500\n\n# BAD\ndef check_role(role: str) -> bool: ...\n\n# GOOD\ndef check_role(role: Role) -> bool: ...\n```\n\n`StrEnum` when values serialize as strings (API, DB). `IntEnum` for numeric codes. Plain `Enum` for pure labels.\n\n---\n\n## Type narrowing — let the checker follow your logic\n\n`isinstance`, `is None`, and `match` narrow types automatically. Use them instead of `cast`.\n\n```python\ndef process(value: str | int | None) -> str:\n if value is None:\n return \"nothing\"\n # checker knows: str | int\n\n if isinstance(value, str):\n return value.upper()\n # checker knows: int\n\n return str(value * 2)\n```\n\n### TypeGuard for custom narrowing\n\n```python\nfrom typing import TypeGuard\n\ndef is_valid_email(value: str) -> TypeGuard[Email]:\n return \"@\" in value and \".\" in value.split(\"@\")[1]\n\ndef send(addr: str) -> None:\n if not is_valid_email(addr):\n raise ValueError(addr)\n # checker knows: addr is Email\n deliver(addr)\n```\n\n### TypeIs (Python 3.13+) — the strict version\n\n`TypeIs` is stricter than `TypeGuard` — it narrows in both `if` and `else` branches.\n\n```python\nfrom typing import TypeIs\n\ndef is_str(value: str | int) -> TypeIs[str]:\n return isinstance(value, str)\n\ndef handle(v: str | int) -> None:\n if is_str(v):\n print(v.upper()) # checker knows: str\n else:\n print(v + 1) # checker knows: int\n```\n\n---\n\n## Union syntax\n\nAlways `X | Y`. Never `Union[X, Y]` or `Optional[X]`.\n\n```python\n# BAD\nfrom typing import Union, Optional\ndef f(x: Optional[int]) -> Union[str, int]: ...\n\n# GOOD\ndef f(x: int | None) -> str | int: ...\n```\n\n---\n\n## Sources\n\n- Python docs: [typing — NewType](https://docs.python.org/3/library/typing.html#newtype)\n- Python docs: [typing — Final](https://docs.python.org/3/library/typing.html#typing.Final)\n- Python docs: [typing — TypeGuard](https://docs.python.org/3/library/typing.html#typing.TypeGuard)\n- PEP 604: [Union syntax X | Y](https://peps.python.org/pep-0604/)\n- PEP 742: [TypeIs](https://peps.python.org/pep-0742/)\n"}],"isError":false,"timestamp":1787385484136}}
{"type":"message","id":"bcfd51fb","parentId":"d84cc863","timestamp":"2026-08-22T07:58:04.136Z","message":{"role":"toolResult","toolCallId":"call_WvGPQAsvHhFj8S96q8CNhE0j|fc_0303f5a230a41a0e016a89568c05e087d0b1d2750c5fe74956","toolName":"read","content":[{"type":"text","text":"# Data Modeling\n\nWhich container to use, how to structure data, and why frozen is the default.\n\n---\n\n## Decision flowchart\n\n```\nIs it a fixed set of named constants?\n YES → StrEnum / IntEnum\n NO ↓\nIs it just branding a primitive (int, str, float)?\n YES → NewType(\"X\", base)\n NO ↓\nIs it an interface / contract (\"this thing can do X\")?\n ├─ Shape only, no shared code → Protocol\n └─ Shared method implementation needed → ABC\n NO ↓\nDoes the data cross a trust boundary (user input, API, file, external DB)?\n YES → pydantic.BaseModel (frozen=True) — validates + serializes\n NO ↓\nIs it a dict shape needed for JSON compat / **kwargs typing?\n YES → TypedDict\n NO ↓\nIs it structured data with named fields?\n YES → @dataclass(frozen=True, slots=True)\n NO ↓\nIs it a tuple with positional semantics (x, y coords / DB row)?\n YES → NamedTuple\n NO → you probably don't need a new type\n```\n\n---\n\n## Container reference\n\n### @dataclass — internal value object\n\nThe default for structured data inside your codebase. Zero overhead, no framework coupling.\n\n```python\nfrom dataclasses import dataclass\nfrom typing import NewType\n\nUserId = NewType(\"UserId\", int)\n\n@dataclass(frozen=True, slots=True)\nclass User:\n id: UserId\n name: str\n email: str\n\n@dataclass(frozen=True, slots=True)\nclass Point:\n x: float\n y: float\n```\n\nAlways `frozen=True, slots=True`. Mutable only when mutation is the documented purpose — opt out with `# noqa: MUTABLE_OK`.\n\n### Pydantic BaseModel — trust boundary guardian\n\nUse when data enters or leaves your system. Validates at construction, serializes to JSON, generates OpenAPI schema.\n\n```python\nfrom pydantic import BaseModel, ConfigDict, EmailStr\n\nclass CreateUserRequest(BaseModel):\n model_config = ConfigDict(frozen=True)\n\n name: str\n email: EmailStr\n age: int\n\nclass UserResponse(BaseModel):\n model_config = ConfigDict(frozen=True)\n\n id: int\n name: str\n email: str\n```\n\n**The one rule**: data crosses a trust boundary → Pydantic. Everything else → dataclass.\nNever use Pydantic for internal-only data just because it's convenient. The validation cost is real.\n\n### TypedDict — dict that knows its shape\n\nUse when the value must stay a `dict` at runtime — JSON blobs, `**kwargs`, third-party APIs expecting dicts.\n\n```python\nfrom typing import TypedDict, NotRequired\n\nclass Headers(TypedDict):\n content_type: str\n authorization: NotRequired[str]\n\ndef make_request(url: str, headers: Headers) -> None: ...\n\nmake_request(\"https://api.example.com\", {\"content_type\": \"application/json\"})\n```\n\n### Protocol — structural interface\n\n\"Anything that has method X\" — no inheritance required.\n\n```python\nfrom typing import Protocol\n\nclass Renderable(Protocol):\n def render(self) -> str: ...\n\nclass Saveable(Protocol):\n async def save(self) -> None: ...\n\n@dataclass(frozen=True, slots=True)\nclass MarkdownDoc:\n content: str\n def render(self) -> str:\n return self.content\n\ndef publish(doc: Renderable) -> None:\n print(doc.render()) # MarkdownDoc works — no inheritance needed\n```\n\nDefault to Protocol for interfaces. ABC only when you need shared method implementations.\n\n### ABC — interface with shared code\n\nOnly when Protocol isn't enough.\n\n```python\nfrom abc import ABC, abstractmethod\n\nclass BaseRepository(ABC):\n @abstractmethod\n async def get(self, id: int) -> Model | None: ...\n\n @abstractmethod\n async def save(self, model: Model) -> None: ...\n\n async def get_or_raise(self, id: int) -> Model:\n result = await self.get(id)\n if result is None:\n msg = f\"{type(self).__name__}: id {id} not found\"\n raise LookupError(msg)\n return result\n```\n\n### NamedTuple — positional + named (rare)\n\nOnly when you need tuple protocol (unpacking, indexing).\n\n```python\nfrom typing import NamedTuple\n\nclass Coordinate(NamedTuple):\n x: float\n y: float\n\nx, y = Coordinate(1.0, 2.0) # tuple unpacking\n```\n\n99% of the time, `@dataclass(frozen=True, slots=True)` is better.\n\n---\n\n## Quick lookup\n\n| Situation | Use | Why |\n|---|---|---|\n| User input, API request/response | `Pydantic BaseModel` | Validation, JSON schema, serialization |\n| DB row ↔ Python (ORM) | SQLAlchemy `Mapped[]` model | ORM integration, async session |\n| Internal value object | `@dataclass(frozen=True, slots=True)` | Zero overhead, no validation needed |\n| Multiple outcomes from function | Union of frozen dataclasses | Distinct types for `match` |\n| Dict shape for JSON / `**kwargs` | `TypedDict` | Stays a dict at runtime |\n| Fixed constants | `StrEnum` / `IntEnum` | Exhaustive match, no typos |\n| Distinct primitive | `NewType(\"X\", int)` | Zero runtime cost, type-level only |\n| Contract / capability | `Protocol` | Structural typing, no inheritance |\n| Contract + shared impl | `ABC` | When Protocol isn't enough |\n\n---\n\n## Comparison matrix\n\n| Feature | dataclass | Pydantic | TypedDict | Protocol | NamedTuple | NewType | Enum |\n|---|---|---|---|---|---|---|---|\n| Validation | - | ✓ | - | - | - | - | - |\n| JSON serialization | manual | built-in | native dict | - | - | - | `.value` |\n| Immutable | frozen=True | frozen=True | - (dict) | N/A | always | N/A | always |\n| Runtime cost | ~zero | validation | zero | zero | ~zero | zero | ~zero |\n| `match` support | ✓ | ✓ | - | - | ✓ | - | ✓ |\n| `slots` support | ✓ | - | - | - | - | - | - |\n\n---\n\n## Parse, don't validate\n\nValidate at the boundary. Inside the boundary, types are proof of validity.\n\n```python\n# BAD — validate then pass raw data\ndef process_email(email: str) -> None:\n if \"@\" not in email:\n raise ValueError(\"invalid email\")\n # still a raw str everywhere downstream\n\n# GOOD — parse into typed value at boundary\nfrom typing import NewType\n\nEmail = NewType(\"Email\", str)\n\ndef parse_email(raw: str) -> Email:\n if \"@\" not in raw or \".\" not in raw.split(\"@\")[1]:\n msg = f\"invalid email: {raw}\"\n raise ValueError(msg)\n return Email(raw.lower().strip())\n\n# Downstream only sees Email, never raw str\ndef send_welcome(email: Email) -> None: ...\n```\n\nWith Pydantic this happens automatically — `EmailStr` is already a parsed type. Once constructed, `.email` is always valid. No re-validation needed.\n\n---\n\n## Sources\n\n- Python docs: [dataclasses](https://docs.python.org/3/library/dataclasses.html)\n- Pydantic v2: [docs.pydantic.dev](https://docs.pydantic.dev/latest/)\n- Python docs: [typing — Protocol](https://docs.python.org/3/library/typing.html#typing.Protocol)\n- Python docs: [typing — TypedDict](https://docs.python.org/3/library/typing.html#typing.TypedDict)\n- Alexis King: [Parse, don't validate](https://lexi-lambda.github.io/blog/2019/11/05/parse-don-t-validate/)\n"}],"isError":false,"timestamp":1787385484136}}
{"type":"message","id":"84561de7","parentId":"bcfd51fb","timestamp":"2026-08-22T07:58:04.136Z","message":{"role":"toolResult","toolCallId":"call_VEaIFAjCOURnlJA2UTLLaDxy|fc_0303f5a230a41a0e016a89568c05e887d095a94c4cb0198574","toolName":"read","content":[{"type":"text","text":"# PEP 639 SPDX license expression (`license = \"MIT\"` below) requires\n# setuptools>=77. Keep this floor in lockstep with the `license` form in\n# [project]; an older build backend rejects the string form.\n[build-system]\nrequires = [\"setuptools>=77.0,<83\"]\nbuild-backend = \"setuptools.build_meta\"\n\n[project]\nname = \"hermes-agent\"\nversion = \"0.17.0\"\ndescription = \"The self-improving AI agent — creates skills from experience, improves them during use, and runs anywhere\"\nreadme = \"README.md\"\n# Upper bound is load-bearing, not cosmetic. uv resolves the project's\n# Python from `requires-python`, and an inherited `UV_PYTHON` env var (or a\n# fresh distro whose newest interpreter uv auto-picks) will otherwise select\n# 3.14, where Rust-backed transitives (e.g. pydantic-core) have no cp314\n# wheel yet and fall back to a maturin source build that fails. Capping at\n# <3.14 makes uv refuse 3.14 with a clear error instead of attempting that\n# build. Raise the ceiling once our Rust transitives ship cp314 wheels.\nrequires-python = \">=3.11,<3.14\"\nauthors = [{ name = \"Nous Research\" }]\nlicense = \"MIT\"\nlicense-files = [\"LICENSE\"]\ndependencies = [\n # Core — every direct dep is exact-pinned to ==X.Y.Z (no ranges).\n # Rationale: ranges allow PyPI to ship a fresh version of a transitive\n # at any time without a code review on our side. Exact pins mean the\n # only way a new package version reaches a user is via an intentional\n # update on our end (bump the pin in this file, regenerate uv.lock).\n # This was tightened on 2026-05-12 in response to the Mini Shai-Hulud\n # worm hitting mistralai 2.4.6 on PyPI; if that release had been\n # captured by `mistralai>=2.3.0,<3` rather than an exact pin, every\n # install in the hours before the quarantine would have pulled it.\n #\n # When updating: bump the version below AND regenerate uv.lock with\n # `uv lock` so the transitive resolution stays consistent. Don't\n # introduce ranges back without a written justification.\n #\n # Scope rule: only packages used by EVERY hermes session belong here.\n # Anything that's provider-specific (`anthropic`, `firecrawl-py`,\n # `exa-py`, `fal-client`, `edge-tts`, `parallel-web`) belongs in an\n # extra and gets lazy-installed via `tools/lazy_deps.py` when the\n # user picks that backend. Smaller `dependencies` = smaller blast\n # radius for the next supply-chain attack.\n \"openai==2.24.0\",\n \"certifi==2026.5.20\",\n \"python-dotenv==1.2.2\",\n \"fire==0.7.1\",\n \"httpx[socks]==0.28.1\",\n \"rich==14.3.3\",\n \"tenacity==9.1.4\",\n \"pyyaml==6.0.3\",\n \"ruamel.yaml==0.18.17\",\n \"requests==2.33.0\", # CVE-2026-25645\n \"jinja2==3.1.6\",\n # Bumped from 2.12.5 to 2.13.4 to pull in pydantic-core 2.46.4.\n # pydantic-core 2.41.5 (pulled by 2.12.5) segfaults when the OpenAI SDK's\n # Responses API resource is exercised from a non-main thread, which is the\n # codex_responses dispatch in agent/chat_completion_helpers.py:_call.\n \"pydantic==2.13.4\",\n # Interactive CLI (prompt_toolkit is used directly by cli.py)\n \"prompt_toolkit==3.0.52\",\n # Cron scheduler (built-in feature — scheduled cron/interval jobs use croniter).\n \"croniter==6.0.0\",\n # ``packaging`` is imported directly on three production paths but was never\n # declared, so it only reached users transitively (pip/uv pull it for other\n # tools). The slim official Docker image ships without it, where the\n # try/except-ImportError fallbacks silently degrade: Hindsight's\n # ``_meets_minimum_version`` disables update_mode='append' (#40503),\n # tools/lazy_deps.py treats every version constraint as satisfied, and\n # hermes_cli/main.py drops to naive requirement parsing. Pure-Python\n # py3-none-any wheel, no compiled extensions — safe to ship everywhere.\n # Pinned to the version already resolved in uv.lock (no resolution churn).\n \"packaging==26.0\",\n # Markdown -> HTML conversion for rich message delivery (Matrix\n # `formatted_body`, and the `send_message` tool's HTML path). Now on the\n # DEFAULT delivery path, not matrix-specific: without it both\n # gateway/platforms/matrix.py and tools/send_message_tool.py silently fall\n # back to plain text, so cron/agent deliveries render raw `##`/`**`/tables\n # in clients like Element (see #32486). Pure-Python py3-none-any wheel\n # (~108KB, no compiled extensions, no platform constraints), so unlike the\n # matrix extra's `mautrix`/`python-olm` it's safe to ship everywhere — keeps\n # it out of the lazy-install path that exists only for the heavy matrix deps.\n \"Markdown==3.10.2\",\n # Skills Hub (GitHub App JWT auth — optional, only needed for bot identity)\n \"PyJWT[crypto]==2.13.0\", # PYSEC-2026-175/177/178/179\n # urllib3 2.7.0 fixes GHSA-mf9v-mfxr-j63j (decompression-bomb bypass)\n # and GHSA-qccp-gfcp-xxvc (header leak across origins).\n \"urllib3>=2.7.0,<3\",\n # Windows has no IANA tzdata shipped with the OS, so Python's ``zoneinfo``\n # (PEP 615) raises ``ZoneInfoNotFoundError`` for every non-UTC timezone\n # out of the box. ``tzdata`` ships the Olson database as a data package\n # Python resolves automatically. No-op on Linux/macOS (which have\n # /usr/share/zoneinfo). Credits: PR #13182 (@sprmn24).\n \"tzdata==2025.3; sys_platform == 'win32'\",\n # Cross-platform process / PID management. `psutil` is the canonical\n # answer for \"is this PID alive\" and process-tree walking across Linux,\n # macOS and Windows. It replaces POSIX-only idioms like `os.kill(pid, 0)`\n # (which is a silent killer on Windows — see CONTRIBUTING.md) and\n # `os.killpg` (which doesn't exist on Windows).\n \"psutil==7.2.2\",\n # Browser CDP supervisor + browser_dialog import this directly. Keep core\n # so browser tool discovery doesn't fail on lean installs.\n \"websockets==15.0.1\",\n # .gitignore-aware file matching for desktop build stamp.\n \"pathspec==1.1.1\",\n \"fastapi>=0.104.0,<1\",\n \"uvicorn[standard]>=0.24.0,<1\",\n # Streaming multipart uploads for the dashboard file manager (NS-501).\n # FastAPI's UploadFile/Form depend on python-multipart; it is NOT pulled in\n # by fastapi itself, so the dashboard's multipart upload endpoint would 500\n # without an explicit dependency here (and in the `web` extra below).\n \"python-multipart>=0.0.9,<1\",\n \"ptyprocess>=0.7.0,<1; sys_platform != 'win32'\",\n \"pywinpty>=2.0.0,<3; sys_platform == 'win32'\",\n # Image resize recovery for the vision tools. Pillow shrinks oversized images\n # (>5 MB or >8000px) at embed time; without it the byte AND pixel-dimension\n # shrink paths no-op, so an oversized image bakes into immutable history and\n # bricks the session on Anthropic's non-retryable 400. Pure-wheel, no system\n # libs required for the codecs we use, so it's safe to ship in the base\n # install rather than gating it behind an extra + a mid-session lazy install\n # (which deadlocked the CLI under prompt_toolkit — see #40490).\n \"Pillow==12.2.0\",\n # Windows log rotation. Stdlib ``RotatingFileHandler.doRollover()`` uses\n # ``os.rename()`` which fails with ``PermissionError [WinError 32]`` on\n # Windows whenever any other process holds an append-mode handle on\n # ``agent.log`` (always the case in Hermes — TUI, gateway, ``hy_memory``\n # server, MCP servers, and on-demand CLI commands all log from separate\n # processes), pinning ``agent.log`` at the 5 MiB threshold and spamming\n # stderr on every emit (see #44873). ``concurrent-log-handler`` wraps the\n # rename in a cross-process file lock (via ``portalocker``: pywin32 on\n # Windows) so only one process rotates at a time. ``hermes_logging.py``\n # aliases it ONLY on Windows — POSIX renames an open file fine, so stdlib\n # already works there and managed-mode perms depend on its exact lifecycle.\n # Hence the ``sys_platform == 'win32'`` marker: the dep (and its portalocker\n # / pywin32 tree) ships only where it's actually used.\n \"concurrent-log-handler==0.9.29; sys_platform == 'win32'\",\n]\n\n[project.optional-dependencies]\n# Native Anthropic provider — only needed when provider=anthropic (not via\n# OpenRouter or other aggregators).\nanthropic = [\"anthropic==0.87.0\"] # CVE-2026-34450, CVE-2026-34452\n# Web search backends — each only loaded when the user picks it as their\n# search provider (configured via `hermes tools` or config.yaml).\nexa = [\"exa-py==2.10.2\"]\nfirecrawl = [\"firecrawl-py==4.17.0\"]\nparallel-web = [\"parallel-web==0.4.2\"]\n# Image generation backends\nfal = [\"fal-client==0.13.1\"]\n# Edge TTS — default TTS provider but still optional (users can pick\n# ElevenLabs / OpenAI / MiniMax instead).\nedge-tts = [\"edge-tts==7.2.7\"]\nmodal = [\"modal==1.3.4\"]\ndaytona = [\"daytona==0.155.0\"]\nhindsight = [\"hindsight-client==0.6.1\"]\ndev = [\"debugpy==1.8.20\", \"pytest==9.0.2\", \"pytest-asyncio==1.3.0\", \"mcp==1.26.0\", \"starlette==1.0.1\", \"ty==0.0.21\", \"ruff==0.15.10\", \"setuptools==81.0.0\"] # starlette: CVE-2026-48710; setuptools: latest <82 (torch >=2.11 caps setuptools<82)\nmessaging = [\"python-telegram-bot[webhooks]==22.6\", \"discord.py[voice]==2.7.1\", \"aiohttp==3.13.4\", \"brotlicffi==1.2.0.1\", \"slack-bolt==1.27.0\", \"slack-sdk==3.40.1\", \"qrcode==7.4.2\"] # aiohttp: CVE-2026-34513/34518/34519/34520/34525\ncron = [] # croniter is now a core dependency; this extra kept for back-compat\nslack = [\"slack-bolt==1.27.0\", \"slack-sdk==3.40.1\", \"aiohttp==3.13.4\"]\nmatrix = [\"mautrix[encryption]==0.21.0\", \"aiosqlite==0.22.1\", \"asyncpg==0.31.0\", \"aiohttp-socks==0.11.0\"]\n# WeCom callback-mode adapter — parses untrusted XML POST bodies from\n# WeCom-controlled callback endpoints, so we use defusedxml (drop-in\n# replacement for stdlib xml.etree.ElementTree) to block billion-laughs\n# and XXE. aiohttp/httpx are already in [messaging]; defusedxml lands\n# here to keep the dependency local to wecom_callback's threat model.\nwecom = [\"defusedxml==0.7.1\"]\ncli = [\"simple-term-menu==1.6.6\"]\ntts-premium = [\"elevenlabs==1.59.0\"]\nvoice = [\n # Local STT pulls in wheel-only transitive deps (ctranslate2, onnxruntime),\n # so keep it out of the base install for source-build packagers like Homebrew.\n \"faster-whisper==1.2.1\",\n \"sounddevice==0.5.5\",\n \"numpy==2.4.3\",\n]\npty = [\n # Kept as a no-op back-compat alias — `ptyprocess` and `pywinpty` are now\n # in the main `dependencies` list (with the same platform markers), so\n # any existing `pip install hermes-agent[pty]` invocations resolve cleanly\n # without pulling in extra packages.\n]\nhoncho = [\"honcho-ai==2.0.1\"]\n# Image resize recovery for the vision tools. Pillow is now a CORE dependency\n# (see the main `dependencies` list) since the byte/pixel shrink paths are on\n# the default vision-embed path and the mid-session lazy install deadlocked the\n# CLI under prompt_toolkit (#40490). This extra is kept as a no-op back-compat\n# alias so existing `pip install hermes-agent[vision]` invocations still resolve.\nvision = []\n# CVE-2026-48710 (BadHost): Starlette is pulled transitively by mcp's\n# sse-starlette / HTTP-SSE stack (and by fastapi in the `web` extra). Before\n# 1.0.1, a malformed Host header makes `request.url.path` desync from the path\n# the ASGI router actually dispatched, so middleware/endpoints that gate on\n# `request.url` can be bypassed. We pin a patched Starlette directly in every\n# extra that exposes a Starlette-backed server surface so pip/uv can't resolve\n# a vulnerable pre-1.0.1 transitive. Bump in lockstep with uv.lock.\nmcp = [\"mcp==1.26.0\", \"starlette==1.0.1\"] # starlette: CVE-2026-48710\nnemo-relay = [\"nemo-relay==0.3\"]\nhomeassistant = [\"aiohttp==3.13.4\"]\nsms = [\"aiohttp==3.13.4\"]\nteams = [\"microsoft-teams-apps==2.0.13.4\", \"aiohttp==3.13.4\"]\n# Computer use — macOS background desktop control via cua-driver (MCP stdio).\n# The cua-driver binary itself is installed via `hermes tools` post-setup\n# (curl install script); this extra just pins the MCP client used to talk\n# to it, which is already provided by the `mcp` extra.\ncomputer-use = [\"mcp==1.26.0\", \"starlette==1.0.1\"] # starlette: CVE-2026-48710\nacp = [\"agent-client-protocol==0.9.0\"]\n# mistral: Voxtral STT + TTS. Pinned to an exact verified-clean version.\n# The `mistralai` PyPI project was quarantined 2026-05-12 after the malicious\n# 2.4.6 release (Mini Shai-Hulud worm); 2.4.6 was removed from PyPI and the\n# project is serving clean releases again (2.4.7 2026-05-25, 2.4.8 2026-05-28).\n# Like other opt-in TTS/STT backends, this is lazy-installed via\n# tools/lazy_deps.py (stt.mistral / tts.mistral) at first use — deliberately\n# NOT re-added to [all] so a future quarantined release can't break fresh\n# installs (see [all] policy comment below).\nmistral = [\"mistralai==2.4.8\"]\nbedrock = [\"boto3==1.42.89\"]\nazure-identity = [\"azure-identity==1.25.3\"]\ntermux = [\n # Baseline Android / Termux path for reliable fresh installs.\n \"python-telegram-bot[webhooks]==22.6\",\n \"hermes-agent[cron]\",\n \"hermes-agent[cli]\",\n \"hermes-agent[pty]\",\n \"hermes-agent[mcp]\",\n \"hermes-agent[honcho]\",\n \"hermes-agent[acp]\",\n]\ntermux-all = [\n # Best-effort \"install all\" profile for Termux. Same policy as [all]:\n # only includes extras that aren't covered by `tools/lazy_deps.py`.\n # Backends like telegram/slack/dingtalk/feishu/honcho lazy-install at\n # first use, so they're no longer eager-installed here.\n \"hermes-agent[termux]\",\n \"hermes-agent[google]\",\n \"hermes-agent[homeassistant]\",\n \"hermes-agent[sms]\",\n \"hermes-agent[web]\",\n]\ndingtalk = [\"dingtalk-stream==0.24.3\", \"alibabacloud-dingtalk==2.2.42\", \"qrcode==7.4.2\"]\nfeishu = [\"lark-oapi==1.5.3\", \"qrcode==7.4.2\"]\ngoogle = [\n # Required by the google-workspace skill (Gmail, Calendar, Drive, Contacts,\n # Sheets, Docs). Declared here so packagers (Nix, Homebrew) ship them with\n # the [all] extra and users don't hit runtime `pip install` paths that fail\n # in environments without pip (e.g. Nix-managed Python).\n \"google-api-python-client==2.194.0\",\n \"google-auth-oauthlib==1.3.1\",\n \"google-auth-httplib2==0.3.1\",\n]\nyoutube = [\n # Required by skills/media/youtube-content and\n # optional-skills/productivity/memento-flashcards (youtube_quiz.py).\n # Without this declaration uv sync omits the package and both skills fail\n # at first invocation with ModuleNotFoundError (issue #22243).\n \"youtube-transcript-api==1.2.4\",\n]\n# `hermes dashboard` (localhost SPA + API). Not in core to keep the default install lean.\n# starlette==1.0.1 pinned for CVE-2026-48710 (BadHost) — fastapi pulls Starlette\n# transitively and pre-1.0.1 is the vulnerable range. See the mcp extra above.\nweb = [\"fastapi==0.133.1\", \"uvicorn[standard]==0.41.0\", \"starlette==1.0.1\", \"python-multipart==0.0.27\"]\nall = [\n # Policy (2026-05-12): `[all]` includes only extras that genuinely\n # CAN'T be lazy-installed via `tools/lazy_deps.py` — i.e. things every\n # session can use, things needed before the agent loop is alive\n # (terminal/CLI), and skill deps that packagers (Nix, AUR, Homebrew)\n # need in the wheel. Anything an opt-in backend (provider, search,\n # TTS, image, memory, messaging platform, terminal sandbox) needs\n # MUST live exclusively in `LAZY_DEPS` and resolve at first use —\n # otherwise one quarantined PyPI release breaks every fresh install.\n #\n # Removed from [all] on 2026-05-12 (covered by lazy-install):\n # anthropic, exa, firecrawl, parallel-web, fal, edge-tts,\n # modal, daytona, messaging (telegram/discord/slack),\n # matrix, slack, honcho, voice (faster-whisper),\n # dingtalk, feishu, bedrock, tts-premium (elevenlabs)\n #\n # Why: the matrix extra in particular pulls `mautrix[encryption]`\n # which depends on `python-olm`. python-olm has Linux-only wheels and\n # no native build path on Windows or modern macOS. With matrix in\n # [all], `uv sync --locked` on Windows tried to build it from sdist\n # and failed on `make`. Lazy-install routes that build to first use,\n # where the user is expected to have a toolchain available.\n \"hermes-agent[cron]\",\n \"hermes-agent[cli]\",\n \"hermes-agent[pty]\",\n \"hermes-agent[mcp]\",\n \"hermes-agent[homeassistant]\",\n \"hermes-agent[sms]\",\n \"hermes-agent[acp]\",\n \"hermes-agent[google]\",\n \"hermes-agent[web]\",\n \"hermes-agent[youtube]\",\n]\n\n[project.scripts]\nhermes = \"hermes_cli.main:main\"\nhermes-agent = \"run_agent:main\"\nhermes-acp = \"acp_adapter.entry:main\"\ndualcoach_admin = \"gateway.platforms.dualcoach_admin:main\"\ndualcoach_tasks21_25_controller = \"gateway.platforms.dualcoach_tasks21_25_controller:main\"\n\n[tool.setuptools]\npy-modules = [\"run_agent\", \"model_tools\", \"toolsets\", \"batch_runner\", \"trajectory_compressor\", \"toolset_distributions\", \"cli\", \"hermes_bootstrap\", \"hermes_constants\", \"hermes_state\", \"hermes_time\", \"hermes_logging\", \"utils\", \"mcp_serve\"]\n\n[tool.setuptools.data-files]\n# i18n catalogs. locales/ is a bare data directory (no __init__.py), so it is\n# neither a package (packages.find) nor package-data (which attaches to a\n# package). data-files ships it in the wheel; MANIFEST.in `graft locales`\n# ships it in the sdist. Without this, sealed installs (pip wheel, Nix store\n# venv) drop the catalogs and gateway/CLI commands surface raw i18n keys like\n# `gateway.reset.header_default` (#27632, #35374, #23943).\nlocales = [\"locales/*.yaml\"]\n# Shipped MCP catalog (optional-mcps//manifest.yaml). Same bare-data-dir\n# case as locales: data-files ships it in the wheel, `graft optional-mcps` in\n# MANIFEST.in ships it in the sdist. Without this, `hermes mcp catalog` and the\n# dashboard catalog screen come up empty on packaged installs even though the\n# manifests exist in the repo (hermes_cli/mcp_catalog.py:_catalog_root resolves\n# the packaged dir; list_catalog() returns [] when it's missing).\n#\n# data-files flattens every glob match into its single target dir, so each\n# catalog entry needs its OWN target to preserve the per-entry directory the\n# catalog iterates over (a shared `optional-mcps/*/*` glob would collapse all\n# manifests into one colliding optional-mcps/manifest.yaml). One target per\n# entry; tests/test_packaging_metadata.py enforces an entry per optional-mcps/.\n\"optional-mcps/linear\" = [\"optional-mcps/linear/manifest.yaml\"]\n\"optional-mcps/n8n\" = [\"optional-mcps/n8n/manifest.yaml\"]\n\n[tool.setuptools.package-data]\nhermes_cli = [\"web_dist/**/*\", \"tui_dist/**/*\", \"scripts/install.sh\", \"scripts/install.ps1\"]\ngateway = [\"assets/**/*\"]\nplugins = [\n \"*/dashboard/manifest.json\",\n \"*/dashboard/dist/*\",\n \"*/dashboard/dist/**/*\",\n # Plugin discovery (hermes_cli/plugins.py) reads a plugin.yaml/plugin.yml\n # manifest from each bundled plugin directory to register it. Wheels only\n # carry files declared here, so without this glob the wheel ships every\n # plugin's Python code but none of its manifests — the scan finds zero\n # plugins and all gateway platforms fail with \"No adapter available for\n # \" (#34034), web-search providers go missing (#28149), etc.\n \"**/plugin.yaml\",\n \"**/plugin.yml\",\n \"**/README.md\",\n]\n\n[tool.setuptools.packages.find]\ninclude = [\"agent\", \"agent.*\", \"tools\", \"tools.*\", \"hermes_cli\", \"hermes_cli.*\", \"gateway\", \"gateway.*\", \"tui_gateway\", \"tui_gateway.*\", \"cron\", \"cron.*\", \"acp_adapter\", \"plugins\", \"plugins.*\", \"providers\", \"providers.*\"]\n\n[tool.pytest.ini_options]\ntestpaths = [\"tests\"]\nmarkers = [\n \"integration: marks tests requiring external services (API keys, Modal, etc.)\",\n \"real_concurrent_gate: opt out of the autouse stub that disables _detect_concurrent_hermes_instances\",\n]\n# integration tests take way too long to run in the normal CI environments\naddopts = \"-m 'not integration'\"\n\n[tool.ty.environment]\npython-version = \"3.13\"\n\n[tool.ty.rules]\nunknown-argument = \"warn\"\nredundant-cast = \"ignore\"\n\n[tool.ruff]\npreview = true # required for PLW1514 (unspecified-encoding) — preview rule\n\n[tool.ruff.lint]\n# All other lints are intentionally disabled (see comment history on this\n# file) while we wrangle typechecks — but PLW1514 is too load-bearing to\n# keep off. Bare open()/read_text()/write_text() in text mode defaults to\n# the system locale encoding on Windows (cp1252 on US-locale installs),\n# which silently corrupts any non-ASCII file content. We had three\n# separate Windows sandbox regressions in one debug session before\n# adding the explicit encoding. This rule keeps new code honest.\nselect = [\"PLW1514\"]\n\n[tool.ruff.lint.per-file-ignores]\n# Tests can intentionally exercise locale-encoding edge cases.\n\"tests/**\" = [\"PLW1514\"]\n# Skills and plugins are partially user-authored — their own conventions.\n\"skills/**\" = [\"PLW1514\"]\n\"optional-skills/**\" = [\"PLW1514\"]\n\"plugins/**\" = [\"PLW1514\"]\n"}],"isError":false,"timestamp":1787385484136}}
{"type":"message","id":"e1d90c21","parentId":"84561de7","timestamp":"2026-08-22T07:58:04.136Z","message":{"role":"toolResult","toolCallId":"call_o57lEAvTVr1HywIIeF1rkUox|fc_0303f5a230a41a0e016a89568c05ec87d0a1ea0112fe0fcc86","toolName":"read","content":[{"type":"text","text":"\"\"\"Typed HTTP client assertions for the loopback fake Telegram API.\"\"\"\n\nfrom __future__ import annotations\n\nimport http.client\nimport urllib.parse\n\nfrom pydantic import JsonValue, TypeAdapter\n\nfrom scripts.dualcoach_v111_fake_telegram import FakeTelegramApi\n\n_JSON_RESPONSE = TypeAdapter(dict[str, JsonValue])\n\n\ndef post(\n api: FakeTelegramApi, method: str, **fields: str | int\n) -> dict[str, JsonValue]:\n connection = http.client.HTTPConnection(\"127.0.0.1\", api.port, timeout=2.0)\n try:\n connection.request(\n \"POST\",\n f\"/bottest-token/{method}\",\n body=urllib.parse.urlencode(fields),\n headers={\"Content-Type\": \"application/x-www-form-urlencoded\"},\n )\n return _JSON_RESPONSE.validate_json(connection.getresponse().read())\n finally:\n connection.close()\n\n\ndef message_response(message_id: int, text: str) -> dict[str, JsonValue]:\n return {\n \"ok\": True,\n \"result\": {\n \"chat\": {\"id\": 41, \"type\": \"private\"},\n \"date\": 0,\n \"from\": {\n \"first_name\": \"Disposable NutriCoach\",\n \"id\": 7000000002,\n \"is_bot\": True,\n \"username\": \"disposable_nutricoach_bot\",\n },\n \"message_id\": message_id,\n \"text\": text,\n },\n }\n"}],"isError":false,"timestamp":1787385484136}}
{"type":"message","id":"6416b6a1","parentId":"e1d90c21","timestamp":"2026-08-22T07:58:04.136Z","message":{"role":"toolResult","toolCallId":"call_BhCgpVUfIJGO2MqEbV2sADfg|fc_0303f5a230a41a0e016a89568c05f487d09e87e98dd9e656e9","toolName":"read","content":[{"type":"text","text":"\"\"\"Loopback-only Telegram-compatible API for disposable v1.1.1 evidence.\"\"\"\n\nfrom __future__ import annotations\n\nimport json\nimport threading\nfrom concurrent.futures import Future\nfrom dataclasses import dataclass\nfrom http.server import BaseHTTPRequestHandler, ThreadingHTTPServer\nfrom types import TracebackType\nfrom typing import Final, final, override\nfrom urllib.parse import parse_qsl\n\nfrom scripts.dualcoach_v111_evidence import parse_json\nfrom scripts.dualcoach_v111_fake_telegram_engine import FakeTelegramEngine\nfrom scripts.dualcoach_v111_fake_telegram_types import (\n CallbackQueryUpdate,\n FakeTelegramAction,\n FakeUpdate,\n MessageUpdate,\n RequestFields,\n TelegramMethod,\n TelegramReply,\n)\n\n__all__ = [\n \"CallbackQueryUpdate\",\n \"FakeTelegramAction\",\n \"FakeTelegramApi\",\n \"MessageUpdate\",\n]\n\n_LOOPBACK: Final = \"127.0.0.1\"\n\n\n@dataclass(frozen=True, slots=True)\nclass FakeTelegramRequestError(ValueError):\n \"\"\"The loopback API received an unsupported request body.\"\"\"\n\n\n@dataclass(frozen=True, slots=True)\nclass FakeTelegramThreadStopError(RuntimeError):\n thread_name: str\n\n @override\n def __str__(self) -> str:\n return f\"fake Telegram server thread did not stop: {self.thread_name}\"\n\n\n@final\nclass _LoopbackServer(ThreadingHTTPServer):\n allow_reuse_address: bool = False\n daemon_threads: bool = True\n\n def __init__(self, engine: FakeTelegramEngine) -> None:\n super().__init__((_LOOPBACK, 0), _TelegramHandler)\n self.engine: FakeTelegramEngine = engine\n\n\n@final\nclass _TelegramHandler(BaseHTTPRequestHandler):\n\n def do_POST(self) -> None: # noqa: N802 - stdlib HTTP handler contract\n content_length = int(self.headers.get(\"Content-Length\", \"0\"))\n body = self.rfile.read(content_length)\n try:\n fields = self._parse_fields(body)\n method = TelegramMethod(self.path.rsplit(\"/\", 1)[-1])\n server = self.server\n assert isinstance(server, _LoopbackServer)\n reply = server.engine.dispatch(method, fields)\n except (UnicodeDecodeError, ValueError):\n reply = TelegramReply(\n status=400,\n payload={\n \"description\": \"Bad Request: malformed fake API request\",\n \"error_code\": 400,\n \"ok\": False,\n },\n )\n self._reply(reply)\n\n @override\n def log_request(\n self,\n code: int | str = \"-\",\n size: int | str = \"-\",\n ) -> None:\n \"\"\"Suppress paths because Bot API paths contain credentials.\"\"\"\n\n @override\n def log_error(self, format: str, *args: str) -> None: # noqa: A002\n \"\"\"Suppress credential-bearing stdlib request diagnostics.\"\"\"\n\n def _parse_fields(self, body: bytes) -> RequestFields:\n decoded = body.decode(\"utf-8\")\n if decoded.lstrip().startswith(\"{\"):\n payload = parse_json(body)\n if not isinstance(payload, dict):\n raise FakeTelegramRequestError\n values: dict[str, str] = {}\n for key, value in payload.items():\n if isinstance(value, bool):\n values[key] = str(value).lower()\n elif isinstance(value, (str, int)):\n values[key] = str(value)\n elif isinstance(value, (dict, list)):\n values[key] = json.dumps(\n value,\n separators=(\",\", \":\"),\n )\n return RequestFields(values)\n return RequestFields(dict(parse_qsl(decoded, keep_blank_values=True)))\n\n def _reply(self, reply: TelegramReply) -> None:\n payload = json.dumps(\n reply.payload,\n sort_keys=True,\n separators=(\",\", \":\"),\n ).encode(\"utf-8\")\n self.send_response(reply.status)\n self.send_header(\"Content-Type\", \"application/json\")\n self.send_header(\"Content-Length\", str(len(payload)))\n self.end_headers()\n try:\n self.wfile.write(payload)\n except (BrokenPipeError, ConnectionResetError):\n return\n\n\n@final\nclass FakeTelegramApi:\n \"\"\"Own a loopback server thread and sanitized append-only action log.\"\"\"\n\n def __init__(self) -> None:\n self._engine = FakeTelegramEngine()\n self._server = _LoopbackServer(self._engine)\n self._thread = threading.Thread(\n target=self._server.serve_forever,\n name=\"dualcoach-v111-fake-telegram\",\n daemon=False,\n )\n self._started = False\n self._closed = False\n self._port = int(self._server.server_address[1])\n\n @property\n def port(self) -> int:\n return self._port\n\n @property\n def base_url(self) -> str:\n return f\"http://{_LOOPBACK}:{self.port}/bot\"\n\n @property\n def base_file_url(self) -> str:\n return f\"http://{_LOOPBACK}:{self.port}/file/bot\"\n\n @property\n def is_closed(self) -> bool:\n return self._closed\n\n @property\n def next_update_id(self) -> int:\n \"\"\"Return the ID the next queued update will receive.\"\"\"\n return self._engine.next_update()\n\n def __enter__(self) -> FakeTelegramApi:\n self.start()\n return self\n\n def __exit__(\n self,\n exc_type: type[BaseException] | None,\n exc_value: BaseException | None,\n traceback: TracebackType | None,\n ) -> None:\n self.close()\n\n def start(self) -> None:\n if self._started:\n return\n self._thread.start()\n self._started = True\n\n def enqueue_update(self, update: FakeUpdate) -> int:\n return self._engine.enqueue_update(update)\n\n def action_future(\n self,\n name: str,\n method: str,\n *,\n after_sequence: int = 0,\n occurrence: int = 1,\n ) -> Future[FakeTelegramAction]:\n return self._engine.action_future(\n name,\n TelegramMethod(method),\n after_sequence=after_sequence,\n occurrence=occurrence,\n )\n\n def wait_for_poll(self, timeout: float) -> bool:\n return self._engine.poll_started.wait(timeout=timeout)\n\n def callback_future(\n self,\n name: str,\n *,\n prefix: str,\n suffix: str,\n ) -> Future[tuple[int, int, str]]:\n return self._engine.callback_future(name, prefix=prefix, suffix=suffix)\n\n def callback_action_future(\n self,\n name: str,\n *,\n prefix: str,\n action: str,\n ) -> Future[tuple[int, int, str]]:\n return self._engine.callback_action_future(name, prefix=prefix, action=action)\n\n def callback_actions_future(\n self,\n name: str,\n *,\n prefix: str,\n actions: tuple[str, ...],\n ) -> Future[tuple[int, int, str, str]]:\n \"\"\"Await one opaque callback matching any exact protocol action.\"\"\"\n return self._engine.callback_actions_future(\n name,\n prefix=prefix,\n actions=actions,\n )\n\n def offset_future(self, name: str, minimum_offset: int) -> Future[FakeTelegramAction]:\n return self._engine.offset_future(name, minimum_offset)\n\n def release_poll(self) -> None:\n self._engine.release_waiters()\n\n def sanitized_actions(self) -> tuple[FakeTelegramAction, ...]:\n return self._engine.snapshot_actions()\n\n def sanitized_calls(self) -> tuple[str, ...]:\n return tuple(action.method for action in self.sanitized_actions())\n\n def callback_data_for(self, chat_id: int, message_id: int, action: str) -> str:\n \"\"\"Read one opaque onboarding callback without adding it to the evidence log.\"\"\"\n return self._engine.callback_data_for(chat_id, message_id, action)\n\n def callback_data_with_prefix(\n self, chat_id: int, message_id: int, prefix: str\n ) -> str:\n \"\"\"Read one opaque callback matching the expected production protocol.\"\"\"\n return self._engine.callback_data_with_prefix(chat_id, message_id, prefix)\n\n def callback_target_with_prefix(self, prefix: str) -> tuple[int, int, str]:\n \"\"\"Read the sole card carrying a callback protocol prefix.\"\"\"\n return self._engine.callback_target_with_prefix(prefix)\n\n def callback_target_with_action(\n self, prefix: str, action: str\n ) -> tuple[int, int, str]:\n \"\"\"Read one opaque callback selected by its protocol action.\"\"\"\n return self._engine.callback_target_with_action(prefix, action)\n\n def render_action_log(self) -> str:\n return self._engine.render_actions()\n\n def close(self) -> None:\n if self._closed:\n return\n self._engine.release_waiters()\n if self._started:\n self._server.shutdown()\n self._server.server_close()\n if self._started:\n self._thread.join(timeout=5.0)\n if self._thread.is_alive():\n raise FakeTelegramThreadStopError(self._thread.name)\n self._closed = True\n"}],"isError":false,"timestamp":1787385484136}}
{"type":"message","id":"8b48a82f","parentId":"6416b6a1","timestamp":"2026-08-22T07:58:04.136Z","message":{"role":"toolResult","toolCallId":"call_6W8LBgiffeT3GdE4X0VHAkKm|fc_0303f5a230a41a0e016a89568c05fc87d0b972d0175a7cb436","toolName":"read","content":[{"type":"text","text":"\"\"\"Typed values for the disposable loopback Telegram API.\"\"\"\n\nfrom __future__ import annotations\n\nfrom dataclasses import dataclass\nfrom enum import StrEnum\nfrom typing import Final, TypeAlias, assert_never\n\nJsonScalar: TypeAlias = str | int | float | bool | None\nJsonValue: TypeAlias = JsonScalar | list[\"JsonValue\"] | dict[str, \"JsonValue\"]\n\nBOT_ID: Final = 7_000_000_002\nBOT_USERNAME: Final = \"disposable_nutricoach_bot\"\n\n\nclass TelegramMethod(StrEnum):\n GET_ME = \"getMe\"\n GET_CHAT = \"getChat\"\n GET_CHAT_MEMBER = \"getChatMember\"\n GET_UPDATES = \"getUpdates\"\n SEND_MESSAGE = \"sendMessage\"\n EDIT_MESSAGE_TEXT = \"editMessageText\"\n EDIT_MESSAGE_REPLY_MARKUP = \"editMessageReplyMarkup\"\n ANSWER_CALLBACK_QUERY = \"answerCallbackQuery\"\n SEND_CHAT_ACTION = \"sendChatAction\"\n SET_MY_COMMANDS = \"setMyCommands\"\n DELETE_MY_COMMANDS = \"deleteMyCommands\"\n GET_WEBHOOK_INFO = \"getWebhookInfo\"\n DELETE_WEBHOOK = \"deleteWebhook\"\n\n\n@dataclass(frozen=True, slots=True)\nclass MessageUpdate:\n \"\"\"One incoming private message queued for polling.\"\"\"\n\n chat_id: int\n user_id: int\n text: str\n\n\n@dataclass(frozen=True, slots=True)\nclass CallbackQueryUpdate:\n \"\"\"One incoming callback query queued for polling.\"\"\"\n\n chat_id: int\n user_id: int\n message_id: int\n callback_query_id: str\n data: str\n topic_id: int | None = None\n\n\nFakeUpdate: TypeAlias = MessageUpdate | CallbackQueryUpdate\n\n\n@dataclass(frozen=True, slots=True)\nclass FakeTelegramAction:\n \"\"\"Sanitized metadata for one received API action.\"\"\"\n\n sequence: int\n method: str\n chat_id: int | None = None\n message_id: int | None = None\n offset: int | None = None\n\n def as_json(self) -> dict[str, JsonValue]:\n return {\n \"chat_id\": self.chat_id,\n \"message_id\": self.message_id,\n \"method\": self.method,\n \"offset\": self.offset,\n \"sequence\": self.sequence,\n }\n\n\n@dataclass(frozen=True, slots=True)\nclass TelegramReply:\n \"\"\"HTTP status and Telegram JSON response body.\"\"\"\n\n status: int\n payload: dict[str, JsonValue]\n\n\n@dataclass(frozen=True, slots=True)\nclass RequestFields:\n \"\"\"Parsed scalar form fields from one Telegram request.\"\"\"\n\n values: dict[str, str]\n\n def text(self, name: str, default: str = \"\") -> str:\n return self.values.get(name, default)\n\n def integer(self, name: str, default: int = 0) -> int:\n value = self.values.get(name)\n return default if value is None or value == \"\" else int(value)\n\n def boolean(self, name: str) -> bool:\n return self.values.get(name, \"false\").casefold() == \"true\"\n\n\ndef bot_user() -> dict[str, JsonValue]:\n return {\n \"first_name\": \"Disposable NutriCoach\",\n \"id\": BOT_ID,\n \"is_bot\": True,\n \"username\": BOT_USERNAME,\n }\n\n\ndef chat(chat_id: int) -> dict[str, JsonValue]:\n if chat_id == -100_700:\n return {\"id\": chat_id, \"title\": \"Disposable Staff\", \"type\": \"supergroup\"}\n return {\"id\": chat_id, \"type\": \"private\"}\n\n\n@dataclass(frozen=True, slots=True)\nclass MessageSpec:\n message_id: int\n chat_id: int\n text: str\n sender: dict[str, JsonValue]\n topic_id: int | None = None\n\n\ndef message(spec: MessageSpec) -> dict[str, JsonValue]:\n result: dict[str, JsonValue] = {\n \"chat\": chat(spec.chat_id),\n \"date\": 0,\n \"from\": spec.sender,\n \"message_id\": spec.message_id,\n \"text\": spec.text,\n }\n if spec.text.startswith(\"/\"):\n command = spec.text.split(maxsplit=1)[0]\n result[\"entities\"] = [\n {\"length\": len(command), \"offset\": 0, \"type\": \"bot_command\"}\n ]\n if spec.topic_id:\n result[\"message_thread_id\"] = spec.topic_id\n return result\n\n\ndef update_payload(update_id: int, update: FakeUpdate) -> dict[str, JsonValue]:\n match update:\n case MessageUpdate(chat_id=chat_id, user_id=user_id, text=text):\n return {\n \"message\": message(\n MessageSpec(\n message_id=update_id,\n chat_id=chat_id,\n text=text,\n sender={\n \"first_name\": \"User\",\n \"id\": user_id,\n \"is_bot\": False,\n },\n )\n ),\n \"update_id\": update_id,\n }\n case CallbackQueryUpdate(\n chat_id=chat_id,\n user_id=user_id,\n message_id=message_id,\n callback_query_id=callback_query_id,\n data=data,\n topic_id=topic_id,\n ):\n callback_message = message(\n MessageSpec(\n message_id=message_id,\n chat_id=chat_id,\n text=\"\",\n sender=bot_user(),\n topic_id=topic_id,\n )\n )\n _ = callback_message.pop(\"text\")\n return {\n \"callback_query\": {\n \"chat_instance\": f\"loopback-chat-{chat_id}\",\n \"data\": data,\n \"from\": {\"first_name\": \"User\", \"id\": user_id, \"is_bot\": False},\n \"id\": callback_query_id,\n \"message\": callback_message,\n },\n \"update_id\": update_id,\n }\n case unreachable:\n assert_never(unreachable)\n"}],"isError":false,"timestamp":1787385484136}}
{"type":"message","id":"49697301","parentId":"8b48a82f","timestamp":"2026-08-22T07:58:04.136Z","message":{"role":"toolResult","toolCallId":"call_rQtz26K0UNmjpSy5rNs0lqdi|fc_0303f5a230a41a0e016a89568c060087d0b5c0bc0c1e2c710a","toolName":"read","content":[{"type":"text","text":"\"\"\"State machine behind the disposable loopback Telegram API.\"\"\"\n\nfrom __future__ import annotations\n\nimport json\nimport threading\nfrom concurrent.futures import Future\nfrom dataclasses import dataclass\nfrom typing import assert_never, final, override\n\nfrom scripts.dualcoach_v111_evidence import parse_json\nfrom scripts.dualcoach_v111_fake_telegram_types import (\n FakeTelegramAction,\n FakeUpdate,\n JsonValue,\n MessageSpec,\n RequestFields,\n TelegramMethod,\n TelegramReply,\n bot_user,\n chat,\n message,\n update_payload,\n)\n\n\n@dataclass(frozen=True, slots=True)\nclass DuplicateActionFutureError(Exception):\n name: str\n\n @override\n def __str__(self) -> str:\n return f\"action future already exists: {self.name}\"\n\n\n@dataclass(frozen=True, slots=True)\nclass _SentMessage:\n text: str\n topic_id: int\n callback_data: tuple[str, ...]\n\n\n@final\nclass FakeTelegramEngine:\n \"\"\"Own mutable fake API state under one condition lock.\"\"\"\n\n def __init__(self) -> None:\n self.condition = threading.Condition()\n self.poll_started = threading.Event()\n self.release_poll = False\n self.next_update_id = 1\n self.next_message_id = 1\n self.updates: list[tuple[int, FakeUpdate]] = []\n self.messages: dict[tuple[int, int], _SentMessage] = {}\n self.actions: list[FakeTelegramAction] = []\n self.action_futures: dict[\n str, tuple[TelegramMethod, int, int, Future[FakeTelegramAction]]\n ] = {}\n self.offset_futures: dict[str, tuple[int, Future[FakeTelegramAction]]] = {}\n self.callback_futures: dict[\n str, tuple[str, str, Future[tuple[int, int, str]]]\n ] = {}\n self.callback_action_futures: dict[\n str, tuple[str, str, Future[tuple[int, int, str]]]\n ] = {}\n self.callback_actions_futures: dict[\n str, tuple[str, tuple[str, ...], Future[tuple[int, int, str, str]]]\n ] = {}\n\n def enqueue_update(self, update: FakeUpdate) -> int:\n with self.condition:\n update_id = self.next_update_id\n self.next_update_id += 1\n self.updates.append((update_id, update))\n self.condition.notify_all()\n return update_id\n\n def action_future(\n self,\n name: str,\n method: TelegramMethod,\n *,\n after_sequence: int = 0,\n occurrence: int = 1,\n ) -> Future[FakeTelegramAction]:\n with self.condition:\n if name in self.action_futures:\n raise DuplicateActionFutureError(name)\n if after_sequence < 0 or occurrence < 1:\n raise ValueError(\"action sequence is invalid\")\n future: Future[FakeTelegramAction] = Future()\n self.action_futures[name] = (\n method,\n after_sequence,\n occurrence,\n future,\n )\n return future\n\n def release_waiters(self) -> None:\n with self.condition:\n self.release_poll = True\n self.condition.notify_all()\n\n def snapshot_actions(self) -> tuple[FakeTelegramAction, ...]:\n with self.condition:\n return tuple(self.actions)\n\n def offset_future(\n self, name: str, minimum_offset: int\n ) -> Future[FakeTelegramAction]:\n with self.condition:\n if name in self.action_futures or name in self.offset_futures:\n raise DuplicateActionFutureError(name)\n if minimum_offset < 1:\n raise ValueError(\"offset is invalid\")\n future: Future[FakeTelegramAction] = Future()\n self.offset_futures[name] = (minimum_offset, future)\n return future\n\n def callback_data_for(\n self, chat_id: int, message_id: int, action: str\n ) -> str:\n \"\"\"Return one onboarding callback by action without logging its token.\"\"\"\n return self.callback_data_with_prefix(\n chat_id,\n message_id,\n f\"non2:{action}:\",\n )\n\n def callback_data_with_prefix(\n self, chat_id: int, message_id: int, prefix: str\n ) -> str:\n \"\"\"Return one opaque callback matching an expected protocol prefix.\"\"\"\n with self.condition:\n sent = self.messages.get((chat_id, message_id))\n if sent is None:\n raise KeyError(\"fake Telegram message is unavailable\")\n matches = tuple(\n value for value in sent.callback_data if value.startswith(prefix)\n )\n if len(matches) != 1:\n raise KeyError(\"fake Telegram callback is unavailable\")\n return matches[0]\n\n def callback_future(\n self,\n name: str,\n *,\n prefix: str,\n suffix: str,\n ) -> Future[tuple[int, int, str]]:\n with self.condition:\n if self._future_name_is_taken(name):\n raise DuplicateActionFutureError(name)\n if not prefix or not suffix:\n raise ValueError(\"callback matcher is invalid\")\n future: Future[tuple[int, int, str]] = Future()\n self.callback_futures[name] = (prefix, suffix, future)\n self._resolve_callback_futures()\n return future\n\n def callback_action_future(\n self,\n name: str,\n *,\n prefix: str,\n action: str,\n ) -> Future[tuple[int, int, str]]:\n \"\"\"Await one opaque callback containing its exact protocol action.\"\"\"\n with self.condition:\n if self._future_name_is_taken(name):\n raise DuplicateActionFutureError(name)\n if not prefix or not action:\n raise ValueError(\"callback action matcher is invalid\")\n future: Future[tuple[int, int, str]] = Future()\n self.callback_action_futures[name] = (prefix, action, future)\n self._resolve_callback_futures()\n return future\n\n def callback_actions_future(\n self,\n name: str,\n *,\n prefix: str,\n actions: tuple[str, ...],\n ) -> Future[tuple[int, int, str, str]]:\n \"\"\"Await one opaque callback matching any exact protocol action.\"\"\"\n with self.condition:\n if self._future_name_is_taken(name):\n raise DuplicateActionFutureError(name)\n if not prefix or not actions or any(not action for action in actions):\n raise ValueError(\"callback actions matcher is invalid\")\n future: Future[tuple[int, int, str, str]] = Future()\n self.callback_actions_futures[name] = (prefix, actions, future)\n self._resolve_callback_futures()\n return future\n\n def next_update(self) -> int:\n with self.condition:\n return self.next_update_id\n\n def _future_name_is_taken(self, name: str) -> bool:\n return (\n name in self.action_futures\n or name in self.offset_futures\n or name in self.callback_futures\n or name in self.callback_action_futures\n or name in self.callback_actions_futures\n )\n\n def dispatch(self, method: TelegramMethod, fields: RequestFields) -> TelegramReply:\n self._record_action(method, fields)\n match method:\n case TelegramMethod.GET_ME:\n return self._ok(bot_user())\n case TelegramMethod.GET_CHAT:\n return self._ok(chat(fields.integer(\"chat_id\")))\n case TelegramMethod.GET_CHAT_MEMBER:\n chat_id = fields.integer(\"chat_id\")\n user_id = fields.integer(\"user_id\")\n if user_id == bot_user()[\"id\"]:\n return self._ok(\n {\n \"status\": \"administrator\",\n \"user\": bot_user(),\n \"can_be_edited\": False,\n \"is_anonymous\": False,\n \"can_manage_chat\": True,\n \"can_delete_messages\": True,\n \"can_manage_video_chats\": True,\n \"can_restrict_members\": True,\n \"can_promote_members\": False,\n \"can_change_info\": True,\n \"can_invite_users\": True,\n \"can_post_stories\": False,\n \"can_edit_stories\": False,\n \"can_delete_stories\": False,\n }\n )\n if (chat_id, user_id) in {(200, 200), (-100_700, 100)}:\n return self._ok(\n {\n \"status\": \"member\",\n \"user\": {\n \"first_name\": \"User\",\n \"id\": user_id,\n \"is_bot\": False,\n },\n }\n )\n return self._ok(\n {\n \"status\": \"left\",\n \"user\": {\n \"first_name\": \"User\",\n \"id\": user_id,\n \"is_bot\": False,\n },\n }\n )\n case TelegramMethod.GET_UPDATES:\n return self._get_updates(fields)\n case TelegramMethod.SEND_MESSAGE:\n return self._send_message(fields)\n case TelegramMethod.EDIT_MESSAGE_TEXT:\n return self._edit_message(fields)\n case TelegramMethod.EDIT_MESSAGE_REPLY_MARKUP:\n return self._edit_reply_markup(fields)\n case (\n TelegramMethod.ANSWER_CALLBACK_QUERY\n | TelegramMethod.SEND_CHAT_ACTION\n | TelegramMethod.SET_MY_COMMANDS\n | TelegramMethod.DELETE_MY_COMMANDS\n ):\n return self._ok(True)\n case TelegramMethod.GET_WEBHOOK_INFO:\n with self.condition:\n pending = len(self.updates)\n return self._ok(\n {\n \"has_custom_certificate\": False,\n \"pending_update_count\": pending,\n \"url\": \"\",\n }\n )\n case TelegramMethod.DELETE_WEBHOOK:\n if fields.boolean(\"drop_pending_updates\"):\n with self.condition:\n self.updates.clear()\n return self._ok(True)\n case unreachable:\n assert_never(unreachable)\n\n def _record_action(self, method: TelegramMethod, fields: RequestFields) -> None:\n with self.condition:\n action = FakeTelegramAction(\n sequence=len(self.actions) + 1,\n method=method.value,\n chat_id=(fields.integer(\"chat_id\") if \"chat_id\" in fields.values else None),\n message_id=(\n fields.integer(\"message_id\")\n if \"message_id\" in fields.values\n else None\n ),\n offset=(fields.integer(\"offset\") if \"offset\" in fields.values else None),\n )\n self.actions.append(action)\n for expected_method, after_sequence, occurrence, future in tuple(\n self.action_futures.values()\n ):\n matching = tuple(\n item\n for item in self.actions\n if item.method == expected_method.value\n and item.sequence > after_sequence\n )\n if (\n expected_method is method\n and len(matching) >= occurrence\n and not future.done()\n ):\n future.set_result(matching[occurrence - 1])\n if method is TelegramMethod.GET_UPDATES:\n for minimum_offset, future in tuple(self.offset_futures.values()):\n if action.offset is not None and action.offset >= minimum_offset and not future.done():\n future.set_result(action)\n self.poll_started.set()\n\n def _get_updates(self, fields: RequestFields) -> TelegramReply:\n offset = fields.integer(\"offset\")\n timeout = fields.integer(\"timeout\")\n with self.condition:\n if offset:\n self.updates = [item for item in self.updates if item[0] >= offset]\n if not self.updates and timeout > 0 and not self.release_poll:\n self.condition.wait(timeout=float(timeout))\n limit = fields.integer(\"limit\", 100)\n result: list[JsonValue] = [\n update_payload(update_id, update)\n for update_id, update in self.updates[:limit]\n ]\n return self._ok(result)\n\n def _send_message(self, fields: RequestFields) -> TelegramReply:\n chat_id = fields.integer(\"chat_id\")\n text = fields.text(\"text\")\n topic_id = fields.integer(\"message_thread_id\")\n callbacks = self._callback_data(fields.text(\"reply_markup\"))\n with self.condition:\n message_id = self.next_message_id\n self.next_message_id += 1\n self.messages[(chat_id, message_id)] = _SentMessage(\n text=text,\n topic_id=topic_id,\n callback_data=callbacks,\n )\n self._resolve_callback_futures()\n return self._ok(\n message(\n MessageSpec(\n message_id=message_id,\n chat_id=chat_id,\n text=text,\n sender=bot_user(),\n topic_id=topic_id,\n )\n )\n )\n\n def _edit_message(self, fields: RequestFields) -> TelegramReply:\n chat_id = fields.integer(\"chat_id\")\n message_id = fields.integer(\"message_id\")\n text = fields.text(\"text\")\n callbacks = self._callback_data(fields.text(\"reply_markup\"))\n with self.condition:\n current = self.messages.get((chat_id, message_id))\n if (\n current is not None\n and current.text == text\n and current.callback_data == callbacks\n ):\n return TelegramReply(\n status=400,\n payload={\n \"description\": \"Bad Request: message is not modified\",\n \"error_code\": 400,\n \"ok\": False,\n },\n )\n self.messages[(chat_id, message_id)] = _SentMessage(\n text=text,\n topic_id=current.topic_id if current is not None else fields.integer(\"message_thread_id\"),\n callback_data=callbacks,\n )\n self._resolve_callback_futures()\n return self._ok(\n message(\n MessageSpec(\n message_id=message_id,\n chat_id=chat_id,\n text=text,\n sender=bot_user(),\n topic_id=self.messages[(chat_id, message_id)].topic_id,\n )\n )\n )\n\n def _edit_reply_markup(self, fields: RequestFields) -> TelegramReply:\n chat_id = fields.integer(\"chat_id\")\n message_id = fields.integer(\"message_id\")\n callbacks = self._callback_data(fields.text(\"reply_markup\"))\n with self.condition:\n current = self.messages.get((chat_id, message_id))\n if current is not None and current.callback_data == callbacks:\n return TelegramReply(\n status=400,\n payload={\n \"description\": \"Bad Request: message is not modified\",\n \"error_code\": 400,\n \"ok\": False,\n },\n )\n updated = _SentMessage(\n text=current.text if current is not None else \"\",\n topic_id=(\n current.topic_id\n if current is not None\n else fields.integer(\"message_thread_id\")\n ),\n callback_data=callbacks,\n )\n self.messages[(chat_id, message_id)] = updated\n self._resolve_callback_futures()\n return self._ok(\n message(\n MessageSpec(\n message_id=message_id,\n chat_id=chat_id,\n text=updated.text,\n sender=bot_user(),\n topic_id=updated.topic_id,\n )\n )\n )\n\n @staticmethod\n def _callback_data(raw_markup: str) -> tuple[str, ...]:\n if not raw_markup:\n return ()\n try:\n markup = parse_json(raw_markup)\n except ValueError:\n return ()\n keyboard = markup.get(\"inline_keyboard\") if isinstance(markup, dict) else None\n if not isinstance(keyboard, list):\n return ()\n values: list[str] = []\n for row in keyboard:\n if not isinstance(row, list):\n continue\n for button in row:\n callback = button.get(\"callback_data\") if isinstance(button, dict) else None\n if isinstance(callback, str):\n values.append(callback)\n return tuple(values)\n\n @staticmethod\n def _ok(result: JsonValue) -> TelegramReply:\n return TelegramReply(status=200, payload={\"ok\": True, \"result\": result})\n\n def callback_target_with_prefix(self, prefix: str) -> tuple[int, int, str]:\n \"\"\"Return the latest sent card carrying one expected protocol callback.\"\"\"\n with self.condition:\n matches = self._matching_callbacks(prefix, \"\")\n if len(matches) != 1:\n raise KeyError(\"fake Telegram callback is unavailable\")\n return matches[0]\n\n def callback_target_with_action(\n self, prefix: str, action: str\n ) -> tuple[int, int, str]:\n \"\"\"Return one opaque callback carrying the requested protocol action.\"\"\"\n with self.condition:\n matches = tuple(\n item\n for item in self._matching_callbacks(prefix, \"\")\n if f\":{action}:\" in item[2] or item[2].endswith(f\":{action}\")\n )\n if len(matches) != 1:\n raise KeyError(\"fake Telegram callback is unavailable\")\n return matches[0]\n\n def _matching_callbacks(self, prefix: str, suffix: str) -> tuple[tuple[int, int, str], ...]:\n return tuple(\n (chat_id, message_id, callback)\n for (chat_id, message_id), sent in self.messages.items()\n for callback in sent.callback_data\n if callback.startswith(prefix) and callback.endswith(suffix)\n )\n\n def _resolve_callback_futures(self) -> None:\n for prefix, suffix, future in tuple(self.callback_futures.values()):\n matches = self._matching_callbacks(prefix, suffix)\n if len(matches) == 1 and not future.done():\n future.set_result(matches[0])\n for prefix, action, future in tuple(self.callback_action_futures.values()):\n matches = tuple(\n item\n for item in self._matching_callbacks(prefix, \"\")\n if f\":{action}:\" in item[2] or item[2].endswith(f\":{action}\")\n )\n if len(matches) == 1 and not future.done():\n future.set_result(matches[0])\n for prefix, actions, future in tuple(self.callback_actions_futures.values()):\n for action in actions:\n matches = tuple(\n (*item, action)\n for item in self._matching_callbacks(prefix, \"\")\n if f\":{action}:\" in item[2] or item[2].endswith(f\":{action}\")\n )\n if len(matches) == 1 and not future.done():\n future.set_result(matches[0])\n break\n\n def render_actions(self) -> str:\n return \"\".join(\n json.dumps(action.as_json(), sort_keys=True, separators=(\",\", \":\")) + \"\\n\"\n for action in self.snapshot_actions()\n )\n"}],"isError":false,"timestamp":1787385484136}}
{"type":"message","id":"e5258b58","parentId":"49697301","timestamp":"2026-08-22T07:58:31.475Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Planning typed test narrowing**\n\n**Examining type compatibility issues**\n\n**Implementing runtime TypeGuard parsing**","startedAt":1787385485375,"thinkingSignature":"{\"id\":\"rs_0303f5a230a41a0e016a89568d575087d0b5ee3fabc9029256\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqiVaXOBBjuzBCKj3PyEyemyqVlVl4BMh4JRdhQl89V5cno3qH6qqrPNKRThfwUxzIn6OaOuBDRfC726QTiHXZSshKcK7bjGyfMTaZLFS9nQwmWi4x8KEqNyl87pZEt_1S-8FmPioNKxJNBU87xvCypyVlMOOvl0nCuBLY-1pYthU9c5cdO8jx036SvGfCBILq_edpQ7F_pAcqY__wPQut5l_k9gzqLhevYN4nBZvsPHPaE4cAfWUoqEtGKUMC3kDqa9kZJ3D_1nWtPfOGrk2E_fgbEVkKG3PCWyn1RZFYJhnpBPUq7UcPntxQ5UxW02qVmF2e5RuXRKahfESF-HOPkiXk8Bf6Q_P_mzgdCMZRgdJR7dx92BEgw6IdEwHRnQCfl-do45iJgUEwM-HcIrlNMfm2r8_uVQuzUmjwNErtF9UNWdazBSEUGlMMJpnSEnKyX1nqEeck29IcNB3mjXx-cH7uim8DPa6ZgADy23BAvgro8lMYh183V9atNC4Xa9aS1hzdqDEpt9g2hSX9hYAfF3BmhrNXb9rVf9Gvpb_bSWzhvyufs8yZDTRXwESOrFpGZ5A2OkUZYMBA7XElfY5AdVfxYz5GNl03mJddV2GDDM-rat5n12kS-Uh_LnWb5I_5Hp1uQZFOCHpRNKaMFumfvD0fIyIP_Jq_2Gp91VaVAiYfqv2DwnBoc8kKf9cCBXGzlGUjtd7l5AnUq6aamuiPKc8cwyGq5B32-YuAPOJ6QdbRsdThtab1lRVxC6RDofGGimww-vqqboWzM7ud6xUC5a3KqzuuG1YS4JHH1gXFzrOjIt8vOAWT-n8c5hsKpE-_RmmHGnIw6BF31HsswOdd_WKv8IkJDYHkeNY0G3mlfRvUk1H-9QyO9JhWWnGZh2KslF6STK3WpXXktnxrbxUctBJxO6NglRldb6lRFtkassdmA_-QeVaSA6es6v11DSzXn8qvXxWkQdztARBuNiRNOQ6A8jLRYGgXhWKSn3Mk3KDd8CFRrg_hU2_1PzXO0wsb6ylXDF22XqoHpn3ocOFdiLaKpvEj0kV2PSuWXuYcbydNYzL0pJU5YV_ilE6eOx0HzZDd5eIm61ib-qR14jQ6ozhtTteUuy8-JVXvw0TsSktVrq-8fHGKvD8_ZO8CUMXnTlOOQyWgQWkuGPa2ZBdUIDbkK-175oeVKvkkPRWuCgR6EB9zuEI9FB78W3qsrfh0eijOG2mkM9gEVH9vMW0midz_Z33ecSYwk5KiHljLpAWsCf-gb5_e2Ca1rFjqrOyDzWi5wZMbCAcTpX5nZSrf6lTyf1e4JjZj9fd1hTRb4NWXqGiSAZCRLIuYR0ySzee5kTCVmHEoRZQ2gljolRBc3WEGgXydkGISUI10iFy-QdV3RLfbDkoE7imYz4ghwV2PkLn9zAQJVkDM4FjjxcM2Jfzlmt8MNtQVJV3Oh8GjFdEMLOag2KH54LLWQ0R1h2na294pZISraT-YIpm9HQ2EywAWIfIEgU8pUKxM4m7yqDzlF8wKP4U6NA_4GGB3pRmx_XR5m48yuBvs6GjnDGbkt9hTCR3l_ZOAThD1csTYJdO13wnhbLUKWLpyVSiRQ4T-itvS9AJC5aqSA5LsPY52qI6S-JFRtk8l1SzZbt281DM1nYpf37hYWkXMXwSqurlsr6qZk4BFOIu8ZpWZSK434_ixJqmejd8C82vSWbDu8CTTt3_ftifPYYAOPd0ogAEjjkBrnfNGRkdprBvSR8ZAv1mAkjIyTtCNMgOcBN7P5Qd_eGWwlNmw8dP-0U7Dx15iHAmAwFWe-XkRXokbc5CmOIJWBgdH9KtjXbkeRdnLMhiA7NRmQCCW0YbpNfI3S6y_ZvRbf_ZCr728lQKERIFqZemVh48tHwYe8aQfmxlOVE04cLxKgUdtIfm7G1AFmxnElA-mb6Vx4Nbi0lcszTNyoSehVjIfuwD9FnrORuHrrIki4EV3KnSyizS_k7jkzsxKqwx0KjNTMPGJo7f4fsAjEz57gQk_JX5BjkkWqdt2L1gc0dP70DUoCOykX1_kPr28pmH4SrwQ9xmowccj1EDLSSR1warHS71TG26K0kiGOvP8ZERcGmB_lz02WMpmCMmQbVCg4TqEqECTnYiEc2nxLPMvWyyXATmIIRgQrFtPxDEg6iydwM_bVDjWQpw1a3Jeh41HdJW2Adc_2BeCrHpDqO7DNnGPGrcSMUqZBQLmnc0zQ7V7Rd_ydrHel3j1XCU9OmdzRuUVgNtTS3wV3OXftysDzb9hQ2yGhm_I9gbrdYw3ZmEfcZa_U43Hy9GlMJyk9Ju0dh_-e0u-zD7XQHMh4dLLGgTkUUGnKHkrLemr-r7ADG2P-Pr3OhQvX701-PNRxdLR6t1beKmc96D0jHf5QJEELNvy-iJTlNaxqtJmw3FLlyn32T-KWRFEQcFlUmOYCUMzijoGY-jcm1qIaG87uCZ5WIfAi6UT5ixbVEBbtoIR9vsX3Bw-K_Uaky9DIB4Vts1btEPc-6K63L4fp1wbcIgLWLut5yjpX8SPvDEJt6yvJclTq-cnz4haug5FpcbMSrfU0R5-lSvjvd_AszfklHc559kGXD_f15DaaK7O_R6FslIfud_aayIKsrnQwTyLb_FODJThn7rWNoPcasijVDCgwR4cp8JMFS_JFrVcCphHeSznJj4R186v_FcxsN-4C7KKOLvEg-H0rmniBmeNfuzUygYX8nGVFwB-mFL-Iuo8QCxyWbo5-07YImJCyJLDLbX5U4Q_0QHD_YUt1YrbzBvGojt4_4bRlrU_2dD-YsrhsjPjT6FMIJJghSIsmEahaSaEizf7wOSGR8vN4_yTvnzujRRrE6Qe8vsFb4qPk3MlcHWxJV0AhyfIU5Gqnf3GZa47Kg-3xKJwX-l23_u4Q3CFftgDi-aOTIuKUTVaMk1-FMpPPoxST5nTXZ-_H1stQDV1ImTVI4YfDp_lbqhgbiGRmhu1rW11zazpE8iSdyZrQXaQvgnKJc6nM6DesdyElvdmrwf6K1at5caRFrYEYdRhsa8hk3JW7k56cbbdZQ-VrlULYJ04qYhBO_gJnZKth76F968tr_kzo2P_t4C8g-HFl1Qc5YeYzFGSUIiRy-qE7GgGHLvv_HA3djxsfFIKV--T-yQfwCRV3ldyVPuxjTEqfY63bjm5oxz_tW7_Ber1ubWXicFdwRVfCJl1wNX7pyZT_XVUeCX-7ZOExwFUCR13vt1wm8fK9za71wj_UXD9vgyUR4DtDDxq73OIQCWWZmysT4xDWAWMEUPv4MdPaKRZY8XwRCagCZMxyiamU9bZAHa1cAXmiV8ul90YxHoGQMAXpeIoJ_rBtFH-K7isp2u-BEU4yK67ELEmObKoGJomaRQgoQHFSxpwmnI1YjlR4Kn_tnDepr6nRjcUK2G-PBdPD93TgYI-qr0wfBIrf8RDiLooDeN0bO_W2zEfPUs3FkgbsAyIcvo3Cqfo0Sezt46a-Nfn20gr6yMgCPq4OBHE_a4sDBJDlUIU_HRaiOPoiPXOzzdNFfhMK3hUaY5x7DjMiGTX5deXiXUGm5CSt1wp5y86twXIHYIshwV00YO594TIrelyd6cGz2PB7p7ur7cXqq9w-GYj32c__XZSwpkck8UZ86pNytOtetZwe18_jnXLrIVUjeBQZQOxgjZIhqfzQm81j-Hhn5JvwJ6oJ7YHJHcoUInfqlenFpEIJR_UTtzMo7wHqQeWyIk_GdB8Nv72fZFqjMdUDGHIzKWXM5KUuVrWH48qvxUt8e8QJ7MjfadM9g4fkpYIGJ-4WqtZI7RqZ8UhH0UnnvdWLYLi8JeFAHW7cSWhbodD2TgygDJKW_elBhbI9Lli09qkCAevWoulkOKNkxu84e7rXR9BUByVZ1079gm6tLlZKt_1KMXr9mEgbPHghlktcmuW1dxab64I3FKt1RWMYOE6y5-v41jU5H9zgwDW3diJkC36XqZwPcWAelug7CmWr9yvx65ljshxpWTgBdGREi-8yUlvVYHqLuNWYdIulhO-Ui95AaCkuCdOXywSSyOAbf4NYkRkFWZ2fLZRAWbOr8zImcT00zTMAOTtBsoTij60U6pALZ0IJrd0c34nSRT1a0fB5i13CyOGxQW9YaTwNsJll4wnqLP5wATracCCKqItBhQQQvjdJ583u7XfSOT0P8hRWCnikYNTJbbCIKZBmBALoEWrAoDvu_HBbdAuDdBzgdd3iwOGUXbv4zMoMdnUlO38bqRoki1SuU7PFHIfApFS4OZtXrr1-ITAbNs4TtQDNH9Z86GoaB7OOhq7pnefhHu7u4aKHjIKVdliEjoGUJvCSiHuHWqvSjKCFtamrhKPN0UcJ8VBiHD3Bn9ttPL2R-OSeho6Gb3n1GbkRFeVDnjGn1-CKG4YGZcfAYAa_kcgiXr1deVa1LQa\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Planning typed test narrowing**\"},{\"type\":\"summary_text\",\"text\":\"**Examining type compatibility issues**\"},{\"type\":\"summary_text\",\"text\":\"**Implementing runtime TypeGuard parsing**\"}]}","endedAt":1787385495153},{"type":"thinking","thinking":"**Refining JSON type narrowing with explicit loop**\n\n**Designing JSON extraction with type narrowing**","startedAt":1787385495155,"thinkingSignature":"{\"id\":\"rs_0303f5a230a41a0e016a895697208487d09af02b4ada38cc8c\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqiVagVsIOWt5es0gMDalFnHzwBZjuC5P7jw-o_T_fMHGh0Gn-sRre1hrXYUmoxvIxlDWMPS4mQ6M9i-u8HckWPtExaHC5VGykhvVoAL3mfbHwHJ7YekuUU8-SSSZr3p6fpety1aEX6vk_BDureBhmnoOYbsQ3fIl1Ed90xK2zmB7RlDuLmoQPrh0mLdTrGmt8wroZszv5uXMa-KXux3F_nE2mCnuGbF60wOJ6zwwDSw3VPk8Gd1wWKmxRT-5aYTWoOJMT9wegFtyTIX7FDzjBfEtmqe7a45ymg5VcgIkHLrKD_oNomqefB62VfBrE9qRowYAcyrZMzfZQCIf_5tpTslZmS6COZ7-iiIkqzi6pBDiqyFzMNvLXj7FH6qxGZ6xnV_Fw4FFEp6pP2lYIm7s6PQPSV4CFqxTdfRHZeckYXYrn2zWj51ZxyovkgpcV1F7PyJpTafni8PWyIGofm_nhowIm6qVtElGw1I_33NnizjNqKn1RHAshkMWtV6YKSkonpBQACI265GyNYrz8B_OmHnNf0rylWAtt5z95zDwok7HUJ7z0XE_KGdYUHn2rljDbIoaOO2DbVL9hB6n1bWIY-ImT3YlYbQXnTcbcV1gjYeS8rbfw5oZ0fmC5Oj1RheNhkuN9z1G1pU_lpmrGBDRGR_Id1H_aehb7O4W9PByFaWVdxQ5-h97Ktr2xj0VEvjMAKlfDpQ6wGi-s7EC51DZCLMvJYioPIXDnOw1OEuaToc02WBMYeyrj8M9wDkFoI3tDBKUo2JatbBmpN66_xvpNPNgSs447-tGTWC_HZVZoEZOxSoVxc_p0X_QKM3h7hb4BjKZZ6kphSCjqDBBdqHMt3kwC2AwKtBZyIvhmOUMIx5_8VZl4ifY7wUwDUQ3V_mryzs7nYuZMATSHiwTfyXt43Rh6KaiecgmKmdA5MJ3-ifLCkZf1SX3PEOTfDfrrvjkkWdcWDCnoS4HcSAKLQg52XdQ2NCEGA9pBPCVb-OKYMh3a-6EgFU4WAcjKZPXYjgLXdOuvqiB9HXTrfrMWvBmGS3vOkeRW_dLX_T6IUR_LP-QrQeY4IemdLY7tDoJWdsWCJ1LSTCoRNjZvsPVM_1nhXv-3D5UEtSaZza8S4QBM0kXB-K6IZy0ZqiKIjg__ebrjmoNDHmlpPXohwUK7L1a0pl9TNPHCIivO2NXpPvJQPJpYRUzNj5H8EDc5qRdeiAN6JHN0oS_F9C4WrU6jtocyKM8kszek8AFN8CeUIH7eHNUHwnxPK42DSkhAGtoUVi_-KGJMw5crVal3fzF4LTj4M6gbfiIO_89HGUpTehtPc9Nblal9hDKRS6lDfTS8aBfOo4_TphLfBSnBZ9s8KYXUbIfJ5I8f6uMu9suFi4uuirJ_LWNBAoXVyFuoJr8KziLbxAsx_-jgjokHtKMjwHAmHCVTM9CknYCXSjWK6e5LrGrhzG1c0rg3j2fsUoWSJ2I7KQ6RxmriXpUCVRP_4ilbsYKSLuHz5jwoUt3xVDv5ikHO2qocX9owOP6CR0-eUsTSVraICwann5eoPoIiY0C-PN2IuKFCKpWo7Av6ujl58FUzQQfwLoFLR7dDM8L83yGQ8KtFV-bY1Gcb7mhNWr2xMoOInneRdJqj28AfzVuQY6zmR8zlLL4vg2GxPAUOqpS4r1TMRI1738_5JrIhRVMfWup19N8I8wK6uGfFxPZr5svWLxKr67slsG1ZhG8SD0xHKZedwEBehSHKQC2aGF2gDicYbC-wkZgl76T9Uhgb8e8TKgWGiux4VkH0eFHeTpLbzAro-VJhS-yb1DNXVTQBNglLt20E7EH5qFzrqOXOpCtVizpuqH3Q5t-1lKGLVdHCL11nDHvN_-pKBZMM9abCu_ZAX03zjP8dQN9OeMZ0CL4cJy06NgSE4afh3X1XOjJVs1pw3k3nrUDYtHzc5_abvkCN9ltcSjDd3me23jd4AEgPU-z2rzLDsDhS2N75FQvzLbyO8gL1oZw6sBGM15PtwQNaTHYyBK5np_89_v9NzQ8hBfz3TdGyljJludv09j0-sxu06EcNIihuphyDJOAV5UK8sgZo_nHseyX76oFZAXAb-qgx-kkoEuxuX7jkdEa3B6kOC6EQsWPbSqS2nEQfKsWRjEGHbrDCxn-fVLJVXu8BaEE6LYnPJtmCS60YEQNzKVJjjOebsVLXk-AKFsOUNrnLzTSAVYUjv1W1P5Q1EP9vFnijWLo9Fu9GKvJsyyXsbmNnEY-B91PKsicTgEb4RuggZOlaFz5ic1uL1H1TsMfQa94Axm7JkNdepGruQYAH-IubgQYBpFAzT4A95V7UCiaH4dnITeKFp97zLUaNhNK_TKZaBuXt4SUlgEFTtsQw5HDjluGQkwciYy1-kAehI0eID1td0LzdmmgagbpoRC7El9y3Q5GXoo0qA17UiSd-pLCu9wsDVOMVsz5rGXzQ-mpFnO7rOEVeh7vaBZyNiGcwaQz7PhgWdKwIUFnQH1YT-tJ8erq2Ch3EhFG8vRCCVAWBI6ISnT4tuxk67nFIhXwuFJUkbQuaBkVZFPYQwv0WuCBDWBJpNL-dGR5MSfK22zlBVYSWUlVnAdEvExkkQBb4QwIHbxmmI635hF8l-fF9lXsO-SFvSfr13uFeKGlY0a2NE-9eopdXTF6PjHKahQb0XsDYNxBHYnKmnZGdmxIB4bzg6IurkDM36npN9pVNj-svMoVlU5kVQbam9XwQgJ3IBcVbVMdLv3cds2TiwBsK7uOOG_G2WayiLsq9PTMagi1vJjtKH_Xbg1fCnIrNqsmUZLScshzgj9GbglOTgn2ohFiFvUiJ6a2I9LbjbFHsWH28qnhpijd7K0tzEyld3jQABM8V6QbLG1z6o4r0KU5L-_OfT7U7GSsXAdtSzpONwYkNIr2zlUd7P4qxJTFa28v-YtUaR-eLyArKMsqWCrO6tCu9jSXDGu2bXMvFOkJju8uQ3qK-JwoRadkOIc2SCJzIvkfppu7H5k8_UFQRzvPwO5oUu6R6tulFuF0OlMe-qF9FXMaVboMaXB80YSoaZqFm5-jXaWZkcOhIxiIa6y7nJIHIFmTSQkurDXO_F6K8zO0pBuRZ6OS4zUeG0AAjEJJQLNQ2pV6g3fyW8PyCc1ShRPESdpHnDTxBDmzjsV6xmcS0Tc3b8DcdUGXt5-RgnWqETM8uS4Ihz6sGcY3dr8qv9pvsZd_3ThC77gZ3zLW0CVg410mFAIYYIiaYDiicZwvaX_PSh1NRDkB0Z73q2HrXjUIHKaimcfRHsMWtSxIDMG1EOgLVKrB_F6iG0JIqw-gO-bpUgdDwUhHn6ncj33GvqFP3n1477SoyAkvmEXELLyFpWS95zwP4d4BnykE7UPBXrO8evDEtn5N6pjeUOscnnO43_elld-vbndENG8t5NeXI9UEAfDc_JMt8nLGdsRM4fFWnYIIHueI8pTY37lKxP94KC1Vs9hXGk-UVJw3FrFMfe24X035uge2zSbrALq700iTvfn2viQ3J6lNTi8EDOJaoCskUgf4D8kulmwAZNzhipG5gK1pSAc0iMfLK22E_vEVZHjsBdH6Y-QrfE250sDlzfy0CbZNygNkOTyTY6vWS753I4rhlIWYMS-QfQxEHjbgnkR1rxEtSsKDHAmN5UY2wBk5KqyQrT5CHvNVDdG-jqy_Dv1dVd1uZ6Vi1kR6ZmJrlCgRgkD5Erj-GuXjNjgL4-5ogPyq7O0WCPkHQMUdiYW9ZOPb9s7ETOT8z6q4zdkKXdfIXxGFaqvobIqbTbjlhadHXiJBtaxiWnb7AxnemRkDuNXiv7WbmXRxgfYfR_FPwirsUJdTruPszXRmAa05O5n4orTRN2Nxkil_Qau_yn6D-sEFgNZI_Ljhkeqh3vdTjlX7_zItWVlo6KRLNzV_-py4t6IRUxZFE1LvYNxtirpFcBE98bc_kqHMGJLG-A6tAnoTILmd9L0twKJDA1h2pE6l35HA81mLSQfj6l5JEs4f99HOQIavu_yKp98C5tVmeP5lqggpokBY79wNOL51Xzcv_Zda7jyvLTsbaKjNkh5pvutL1MHLJrJYlDcRcjqP650jbP1EWtod-sABe5g8KdgTHcPYNXA4tHXPBkkVXgsycwzF__ahvSH_WUKaBtYKamHGZEB82o4h90J-45P3-aOmqjk2bOEiJLGJeGMRHeSKuZ5seIC6r3ExjH8tHb2ZGYl7fFX4prNjbSQsUtA6u300reCmlT_5PBV9oudR0Hc78xeG16gp_P2wZoOgvBDXaDQg83ZxpEHazq8Dwkiwvzbksiu4ggd8nsqauEorZeWyEAQjm4osuVG6_MurI_ZTUIHJ94yvKxUXHM7k3-dzo\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Refining JSON type narrowing with explicit loop**\"},{\"type\":\"summary_text\",\"text\":\"**Designing JSON extraction with type narrowing**\"}]}","endedAt":1787385504739},{"type":"thinking","thinking":"**Planning baseline tests and type checking**","startedAt":1787385504739,"thinkingSignature":"{\"id\":\"rs_0303f5a230a41a0e016a8956a0b69c87d0888e1f9093c69995\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqiVaiJkY2Q_KTFu81gMs_mR4z69tB-vR0uvP654O3MBcezamFwIUV-r4LTnvSUkDrUUPh1GzxyF1XNRzoAvCu1eUhHXIG7RPPUvJpc2XgiuPpwER79EWW3ZZQUutlUDdVpixndnbiqSABZYSD3MpkhKkcaTnfnPvQ9t68uSU4nfxAAqRWZTqLRv07-YF5JOVYuHnoFaPqobnPw_XCB6SS9iC0IiVjWzpdLm4Hqs8gV_OBA-iKBC07sZ9t914CPVrvooHvfKBQa59oyql_oX5qQT8ZXoqA8SNmgF3LYM3Xduu2y4hZt0aNjyWRVfkkGQMfPfK9iLyr-A9TT81WILVyudDisZbBk9AmFQMaWWI3uKug3DOvfplleZQkSuFH4fxQpNGdUsB0Npga5D0X2iUZwMcoTHxYa46CTTXIojnTmj84ezmzW21nYPF4QVmYakkjI50U8LgcvxvuzCvWVnrHNbGSHQWwEGw4UG1bA5FwFAm1xPTClYs1mw0DYBKgp6Cs_95IrGrOv8S3Lz_4WhjPbos3nBPkDc9kBAKVt4oBydGHxd7KlhCSob8ZVvqOxZXqr65iRQhvuxg0V99XKh_otf_w6i6UTTsv6QbA68lntlDyB4v4Wby9p3FeXvqZ4_jpPYAJIL6_5L7EotzyMoP7IiHwyyVyvtTq2atey7wcEx4uO9Bg8GTkbndsAlT9amDSOV5YuRKOYXMneIw9juQlVQ1IlT6gzBzDI8gelhFTXjEVDAn9ut0HaqkJ_ymIUOU3d8WARgOdgeYEbBP4lc7wMl2QbLXjcRjFbQOVYZWFncIzJQYdyYBAvGLnMF85_IwNOwZBgNwpM5MBb0kTadX00IIDcKU7fKLRw05g2kC_wCDLtVEwpgOlLceN3oU-wgJk1JSesCbhTe_Vl4QWiH5100u5yvxxIbt94aRWI5rlJ2R-gvyIA-flkxMgVpeCzrGLUwsk_R6MJMO0KWsFf1pYlBR9y_xqF2s2x9exkrFQmm1pyt3giVfswdSFxJdWSrtPPNugWGbgqXjlah9aRv94ksiTSu5nKCpqYVexVNzXRD0y7HEo2GR97nS2NL4nisN-ehPTXddTf3xluJeVO6NUtO3MzBnpNI8voUkrGRigfvQ1FVkwKiQ03lpHJBptHmDdRWRcb6epytU1E6KBBTWNLrXF6Qq7Ew_6T0WHaNGveC1s5K2phGmLqFsSwRr0XVj2A3K4SXVzMmiuiZWNs3fbj4EighBxjhp5Gik0nI47pv2dyy2_L-uRXRD8bv4xdmZ5Q6Jh3Lc7EkYZTdu7DYHgOgpQqZMyj5fsVI4lQSUag9D-mULGxOirhDJz9UXqwqUNz3zsMzOLFutfIfdtwAC8-eHtvIzV-k4Nbdl-XEu2u-AQdODwddv0K8128zSx1JwOVS66jaymXE4BQhPGH4hlyED1tgKLZGH0L2zCM1iBTdlX7HYNGQmYllea1tGweBo4-8wG7z2Jwbq43cMVWj5oOVa6qSK1iIXfFBjYWzIyL1IxCIObpsYaRvI1_fzKgqFDJOIf3lwfA31LyzOfJ-el_zGD_cwdITJaQF2pQWs0SqqdklBtmlTeWvGhAJ7byokf4jDRakBsalox1QQp_P2u0umUBcBrh9OSTkPIdjbqDJEfkCB-MOagSN72zll1FPFmLcYh7l9UR-imRDrOQjZW5eER9CTfl436pZNPzEReKDH5dZS6xGqjFqsRxCQCN9e0v0z0HEDcbyCWt9Mojpz8kTc8nkz2Ey93r-E-b9GhHmZ1r5l5Z_IDJonLrfuiT354plQLF3GfWrdYnthcxX0PYEhtm-vpk3ZPC1evHC2YVudukqRTf5pz6rVgS1h3Zr2qY9cPoazOVXyoDGYlhlHCiqG4z3ZPA9vmdC57pUwnMzcgq9r8-P2zdDetSJlLY5vCXbjecfS3CyD8TuZjhY5cDDE0fqNaGMrywLtX-dWUhAMRZAjFtvF1x7MuSem6k48ls0kj--zVOM-9QwV2tIRCeIMinfdv3PjEcNpOnQ7zRT7bA4nGEo-JVVi2leBVmEqeDklW\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Planning baseline tests and type checking**\"}]}","endedAt":1787385506504},{"type":"text","text":"The 25 diagnostics are all cascades from two un-narrowed `JsonValue` chains. I’ll preserve the assertions and response semantics by adding a small `TypeGuard`-based JSON-object narrowing seam, then reuse it at both affected call sites.","textSignature":"{\"v\":1,\"id\":\"msg_0303f5a230a41a0e016a8956a27b1c87d0b8ce3e74538d1b82\",\"phase\":\"commentary\"}"},{"type":"toolCall","id":"call_l8o6UkjZnnUNYgTEORrAALT3|fc_0303f5a230a41a0e016a8956a7620c87d098d1928afcd061e1","name":"bash","arguments":{"command":"cd /home/cube/projects/richard/.worktrees/nutricoach-v111-impl && uv run pytest tests/gateway/test_fake_telegram_bot_api.py","timeout":120}},{"type":"toolCall","id":"call_DeUgi7GOzZGjy2cokgPJu9Y1|fc_0303f5a230a41a0e016a8956a7622487d0b590afe9b810dadb","name":"bash","arguments":{"command":"cd /home/cube/projects/richard/.worktrees/nutricoach-v111-impl && uv run ruff check tests/gateway/test_fake_telegram_bot_api.py","timeout":120}},{"type":"toolCall","id":"call_NPTYT553LtVGyY9juoXXeJob|fc_0303f5a230a41a0e016a8956a7623087d0bd8c127664f8b923","name":"bash","arguments":{"command":"cd /home/cube/projects/richard/.worktrees/nutricoach-v111-impl && uv run python -m py_compile tests/gateway/test_fake_telegram_bot_api.py","timeout":120}},{"type":"toolCall","id":"call_eR7FYsSNZlL5iyfaZY9m4kZH|fc_0303f5a230a41a0e016a8956a7623c87d0845508ec4d366731","name":"bash","arguments":{"command":"nl -ba /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py | head -n 190"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-luna","usage":{"input":16844,"output":1448,"cacheRead":24064,"cacheWrite":0,"reasoning":1157,"totalTokens":42356,"cost":{"input":0.0033688000000000004,"output":0.0017376,"cacheRead":0.00048128,"cacheWrite":0,"total":0.00558768}},"stopReason":"toolUse","timestamp":1787385484144,"responseId":"resp_0303f5a230a41a0e016a89568cad7c87d0a83975b7e1fad753","rawStopReason":"completed"}}
{"type":"message","id":"24842b69","parentId":"e5258b58","timestamp":"2026-08-22T07:58:33.003Z","message":{"role":"toolResult","toolCallId":"call_l8o6UkjZnnUNYgTEORrAALT3|fc_0303f5a230a41a0e016a8956a7620c87d098d1928afcd061e1","toolName":"bash","content":[{"type":"text","text":"============================= test session starts ==============================\nplatform linux -- Python 3.12.9, pytest-9.0.2, pluggy-1.6.0\nrootdir: /home/cube/projects/richard/.worktrees/nutricoach-v111-impl\nconfigfile: pyproject.toml\nplugins: anyio-4.12.1, asyncio-1.3.0\nasyncio: mode=Mode.STRICT, debug=False, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function\ncollected 0 items / 1 error\n\n==================================== ERRORS ====================================\n_________ ERROR collecting tests/gateway/test_fake_telegram_bot_api.py _________\n.venv/lib/python3.12/site-packages/pydantic/type_adapter.py:287: in _init_core_attrs\n self.core_schema = _getattr_no_parents(self._type, '__pydantic_core_schema__')\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/type_adapter.py:56: in _getattr_no_parents\n raise AttributeError(attribute)\nE AttributeError: __pydantic_core_schema__\n\nDuring handling of the above exception, another exception occurred:\ntests/gateway/test_fake_telegram_bot_api.py:11: in \n from scripts.dualcoach_v111_evidence import write_text\nscripts/dualcoach_v111_evidence.py:40: in \n _JSON_ADAPTER: TypeAdapter[JsonValue] = TypeAdapter(JsonValue)\n ^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/type_adapter.py:244: in __init__\n self._init_core_attrs(\n.venv/lib/python3.12/site-packages/pydantic/type_adapter.py:306: in _init_core_attrs\n core_schema = schema_generator.generate_schema(self._type)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:744: in generate_schema\n schema = self._generate_schema_inner(obj)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1043: in _generate_schema_inner\n return self.match_type(obj)\n ^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1161: in match_type\n return self._match_generic_type(obj, origin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1184: in _match_generic_type\n return self._union_schema(obj)\n ^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1344: in _union_schema\n choices.append(self.generate_schema(arg))\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:744: in generate_schema\n schema = self._generate_schema_inner(obj)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1043: in _generate_schema_inner\n return self.match_type(obj)\n ^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1161: in match_type\n return self._match_generic_type(obj, origin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1188: in _match_generic_type\n return self._list_schema(self._get_first_arg_or_any(obj))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:399: in _list_schema\n return core_schema.list_schema(self.generate_schema(items_type))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:744: in generate_schema\n schema = self._generate_schema_inner(obj)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1043: in _generate_schema_inner\n return self.match_type(obj)\n ^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1161: in match_type\n return self._match_generic_type(obj, origin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1184: in _match_generic_type\n return self._union_schema(obj)\n ^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1344: in _union_schema\n choices.append(self.generate_schema(arg))\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:744: in generate_schema\n schema = self._generate_schema_inner(obj)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1043: in _generate_schema_inner\n return self.match_type(obj)\n ^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1161: in match_type\n return self._match_generic_type(obj, origin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1188: in _match_generic_type\n return self._list_schema(self._get_first_arg_or_any(obj))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:399: in _list_schema\n return core_schema.list_schema(self.generate_schema(items_type))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nE RecursionError: maximum recursion depth exceeded\nE If you made use of an implicit recursive type alias (e.g. `MyType = list['MyType']), consider using PEP 695 type aliases instead. For more details, refer to the documentation: https://docs.pydantic.dev/2.13/concepts/types/#named-recursive-types\n!!! Recursion detected (same locals & position)\n=========================== short test summary info ============================\nERROR tests/gateway/test_fake_telegram_bot_api.py - RecursionError: maximum r...\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\n=============================== 1 error in 0.23s ===============================\n\n\nCommand exited with code 2"}],"details":{},"isError":true,"timestamp":1787385513003}}
{"type":"message","id":"426aed70","parentId":"24842b69","timestamp":"2026-08-22T07:58:33.003Z","message":{"role":"toolResult","toolCallId":"call_DeUgi7GOzZGjy2cokgPJu9Y1|fc_0303f5a230a41a0e016a8956a7622487d0b590afe9b810dadb","toolName":"bash","content":[{"type":"text","text":"All checks passed!\n"}],"isError":false,"timestamp":1787385513003}}
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{"type":"message","id":"75f89148","parentId":"7cda6ab0","timestamp":"2026-08-22T07:58:33.003Z","message":{"role":"toolResult","toolCallId":"call_eR7FYsSNZlL5iyfaZY9m4kZH|fc_0303f5a230a41a0e016a8956a7623c87d0845508ec4d366731","toolName":"bash","content":[{"type":"text","text":" 1\tfrom __future__ import annotations\n 2\t\n 3\timport http.client\n 4\timport json\n 5\timport stat\n 6\tfrom concurrent.futures import ThreadPoolExecutor\n 7\tfrom pathlib import Path\n 8\t\n 9\tfrom telegram import Update\n 10\t\n 11\tfrom scripts.dualcoach_v111_evidence import write_text\n 12\tfrom scripts.dualcoach_v111_fake_telegram import (\n 13\t CallbackQueryUpdate,\n 14\t FakeTelegramApi,\n 15\t MessageUpdate,\n 16\t)\n 17\tfrom tests.support.fake_telegram_client import (\n 18\t message_response as _message_response,\n 19\t post as _post,\n 20\t)\n 21\t\n 22\t\n 23\tdef test_identity_chat_and_membership_methods_return_telegram_shapes() -> None:\n 24\t # Given: a started loopback fake with its deterministic default fixtures.\n 25\t with FakeTelegramApi() as api:\n 26\t # When: Telegram startup identity and membership methods are called.\n 27\t me = _post(api, \"getMe\")\n 28\t chat = _post(api, \"getChat\", chat_id=-100700)\n 29\t member = _post(api, \"getChatMember\", chat_id=-100700, user_id=7000000002)\n 30\t\n 31\t # Then: each response carries the Telegram-compatible typed fixture.\n 32\t assert me == {\n 33\t \"ok\": True,\n 34\t \"result\": {\n 35\t \"first_name\": \"Disposable NutriCoach\",\n 36\t \"id\": 7000000002,\n 37\t \"is_bot\": True,\n 38\t \"username\": \"disposable_nutricoach_bot\",\n 39\t },\n 40\t }\n 41\t assert chat == {\n 42\t \"ok\": True,\n 43\t \"result\": {\"id\": -100700, \"title\": \"Disposable Staff\", \"type\": \"supergroup\"},\n 44\t }\n 45\t assert member == {\n 46\t \"ok\": True,\n 47\t \"result\": {\n 48\t \"status\": \"administrator\",\n 49\t \"user\": {\n 50\t \"first_name\": \"Disposable NutriCoach\",\n 51\t \"id\": 7000000002,\n 52\t \"is_bot\": True,\n 53\t \"username\": \"disposable_nutricoach_bot\",\n 54\t },\n 55\t \"can_be_edited\": False,\n 56\t \"is_anonymous\": False,\n 57\t \"can_manage_chat\": True,\n 58\t \"can_delete_messages\": True,\n 59\t \"can_manage_video_chats\": True,\n 60\t \"can_restrict_members\": True,\n 61\t \"can_promote_members\": False,\n 62\t \"can_change_info\": True,\n 63\t \"can_invite_users\": True,\n 64\t \"can_post_stories\": False,\n 65\t \"can_edit_stories\": False,\n 66\t \"can_delete_stories\": False,\n 67\t },\n 68\t }\n 69\t\n 70\t\n 71\tdef test_customer_is_absent_from_staff_chat() -> None:\n 72\t # Given: the disposable customer and staff chat used by activation readiness.\n 73\t with FakeTelegramApi() as api:\n 74\t # When: production membership readiness checks customer isolation.\n 75\t member = _post(api, \"getChatMember\", chat_id=-100700, user_id=200)\n 76\t\n 77\t # Then: the fake proves absence rather than granting staff membership.\n 78\t assert member == {\n 79\t \"ok\": True,\n 80\t \"result\": {\n 81\t \"status\": \"left\",\n 82\t \"user\": {\"first_name\": \"User\", \"id\": 200, \"is_bot\": False},\n 83\t },\n 84\t }\n 85\t\n 86\t\n 87\tdef test_configured_customer_and_owner_are_members_of_callback_routes() -> None:\n 88\t # Given: the callback routes used by the disposable customer and owner.\n 89\t with FakeTelegramApi() as api:\n 90\t # When: runtime callback membership gates query those exact routes.\n 91\t customer = _post(api, \"getChatMember\", chat_id=200, user_id=200)\n 92\t owner = _post(api, \"getChatMember\", chat_id=-100700, user_id=100)\n 93\t\n 94\t # Then: each authorized actor is present without granting unrelated membership.\n 95\t assert customer == {\n 96\t \"ok\": True,\n 97\t \"result\": {\n 98\t \"status\": \"member\",\n 99\t \"user\": {\"first_name\": \"User\", \"id\": 200, \"is_bot\": False},\n 100\t },\n 101\t }\n 102\t assert owner == {\n 103\t \"ok\": True,\n 104\t \"result\": {\n 105\t \"status\": \"member\",\n 106\t \"user\": {\"first_name\": \"User\", \"id\": 100, \"is_bot\": False},\n 107\t },\n 108\t }\n 109\t\n 110\t\n 111\tdef test_get_updates_applies_exact_offsets_to_monotonic_updates() -> None:\n 112\t # Given: three typed updates queued in creation order.\n 113\t with FakeTelegramApi() as api:\n 114\t first = api.enqueue_update(MessageUpdate(chat_id=41, user_id=7, text=\"one\"))\n 115\t second = api.enqueue_update(MessageUpdate(chat_id=41, user_id=7, text=\"two\"))\n 116\t third = api.enqueue_update(\n 117\t CallbackQueryUpdate(\n 118\t chat_id=41,\n 119\t user_id=7,\n 120\t message_id=9,\n 121\t callback_query_id=\"private-callback-id\",\n 122\t data=\"private-callback-data\",\n 123\t )\n 124\t )\n 125\t\n 126\t # When: polling acknowledges through the second update exactly.\n 127\t response = _post(api, \"getUpdates\", offset=third)\n 128\t\n 129\t # Then: IDs are monotonic and only the exact unacknowledged suffix is returned.\n 130\t assert (first, second, third) == (1, 2, 3)\n 131\t assert response == {\n 132\t \"ok\": True,\n 133\t \"result\": [\n 134\t {\n 135\t \"callback_query\": {\n 136\t \"chat_instance\": \"loopback-chat-41\",\n 137\t \"data\": \"private-callback-data\",\n 138\t \"from\": {\"first_name\": \"User\", \"id\": 7, \"is_bot\": False},\n 139\t \"id\": \"private-callback-id\",\n 140\t \"message\": {\n 141\t \"chat\": {\"id\": 41, \"type\": \"private\"},\n 142\t \"date\": 0,\n 143\t \"from\": {\n 144\t \"first_name\": \"Disposable NutriCoach\",\n 145\t \"id\": 7000000002,\n 146\t \"is_bot\": True,\n 147\t \"username\": \"disposable_nutricoach_bot\",\n 148\t },\n 149\t \"message_id\": 9,\n 150\t },\n 151\t },\n 152\t \"update_id\": 3,\n 153\t }\n 154\t ],\n 155\t }\n 156\t assert Update.de_json(response[\"result\"][0], bot=None).callback_query is not None\n 157\t\n 158\t\n 159\tdef test_command_updates_include_telegram_bot_command_entities() -> None:\n 160\t # Given: an incoming command update addressed to the disposable bot.\n 161\t with FakeTelegramApi() as api:\n 162\t _ = api.enqueue_update(\n 163\t MessageUpdate(chat_id=41, user_id=7, text=\"/start rc1_abcdefghijklmnopqrstuv\")\n 164\t )\n 165\t\n 166\t # When: the polling API returns the typed update.\n 167\t response = _post(api, \"getUpdates\")\n 168\t\n 169\t # Then: PTB's command filter receives the entity Telegram supplies in production.\n 170\t assert response[\"result\"][0][\"message\"][\"entities\"] == [\n 171\t {\"length\": 6, \"offset\": 0, \"type\": \"bot_command\"}\n 172\t ]\n 173\t\n 174\t\n 175\tdef test_send_and_edit_message_use_monotonic_ids_and_not_modified_error() -> None:\n 176\t # Given: a started fake Telegram API.\n 177\t with FakeTelegramApi() as api:\n 178\t # When: two messages are sent, one is edited, and the same edit is repeated.\n 179\t sent = _post(api, \"sendMessage\", chat_id=41, text=\"private first\")\n 180\t sent_again = _post(api, \"sendMessage\", chat_id=41, text=\"private second\")\n 181\t edited = _post(\n 182\t api,\n 183\t \"editMessageText\",\n 184\t chat_id=41,\n 185\t message_id=1,\n 186\t text=\"private replacement\",\n 187\t )\n 188\t unchanged = _post(\n 189\t api,\n 190\t \"editMessageText\",\n"}],"isError":false,"timestamp":1787385513003}}
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{"type":"message","id":"907f64fa","parentId":"21ac7b70","timestamp":"2026-08-22T07:59:01.427Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Planning precise type narrowing with assertions**\n\n**Defining TypeGuard helper for JSON object 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JSONDict type with JsonValue**\"}]}","endedAt":1787385533570},{"type":"toolCall","id":"call_mvs8hZdnwVeEVOcmDdbnflko|fc_0303f5a230a41a0e016a8956bd869887d0a52a34c189ed347e","name":"edit","arguments":{"path":"/home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py","edits":[{"oldText":"from pathlib import Path\n\nfrom telegram import Update\n","newText":"from pathlib import Path\nfrom typing import TypeGuard\n\nfrom pydantic import JsonValue\nfrom telegram import Update\n"},{"oldText":"from tests.support.fake_telegram_client import (\n message_response as _message_response,\n post as _post,\n)\n\n\ndef test_identity_chat_and_membership_methods_return_telegram_shapes() -> None:\n","newText":"from tests.support.fake_telegram_client import (\n message_response as _message_response,\n post as _post,\n)\n\n\ndef _is_json_object(value: JsonValue) -> TypeGuard[dict[str, JsonValue]]:\n return isinstance(value, dict)\n\n\ndef _first_result_object(response: dict[str, JsonValue]) -> dict[str, JsonValue]:\n result = response[\"result\"]\n assert isinstance(result, list)\n first = result[0]\n assert _is_json_object(first)\n return first\n\n\ndef test_identity_chat_and_membership_methods_return_telegram_shapes() -> None:\n"},{"oldText":" assert Update.de_json(response[\"result\"][0], bot=None).callback_query is not None\n","newText":" update = _first_result_object(response)\n assert Update.de_json(update, bot=None).callback_query is not None\n"},{"oldText":" assert response[\"result\"][0][\"message\"][\"entities\"] == [\n {\"length\": 6, \"offset\": 0, \"type\": \"bot_command\"}\n ]\n","newText":" update = _first_result_object(response)\n message = update[\"message\"]\n assert _is_json_object(message)\n assert message[\"entities\"] == [\n {\"length\": 6, \"offset\": 0, \"type\": \"bot_command\"}\n ]\n"}]}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-luna","usage":{"input":859,"output":1091,"cacheRead":45568,"cacheWrite":0,"reasoning":619,"totalTokens":47518,"cost":{"input":0.0001718,"output":0.0013092,"cacheRead":0.0009113600000000001,"cacheWrite":0,"total":0.00239236}},"stopReason":"toolUse","timestamp":1787385520742,"responseId":"resp_0303f5a230a41a0e016a8956b11ca487d092dc280e437cef13","rawStopReason":"completed"}}
{"type":"message","id":"feb7840f","parentId":"907f64fa","timestamp":"2026-08-22T07:59:01.435Z","message":{"role":"toolResult","toolCallId":"call_mvs8hZdnwVeEVOcmDdbnflko|fc_0303f5a230a41a0e016a8956bd869887d0a52a34c189ed347e","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 4 block(s) in /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py."}],"details":{"diff":" ...\n 4 import json\n 5 import stat\n 6 from concurrent.futures import ThreadPoolExecutor\n 7 from pathlib import Path\n+ 8 from typing import TypeGuard\n 8 \n+ 10 from pydantic import JsonValue\n 9 from telegram import Update\n 10 \n 11 from scripts.dualcoach_v111_evidence import write_text\n 12 from scripts.dualcoach_v111_fake_telegram import (\n ...\n 19 post as _post,\n 20 )\n 21 \n 22 \n+ 25 def _is_json_object(value: JsonValue) -> TypeGuard[dict[str, JsonValue]]:\n+ 26 return isinstance(value, dict)\n+ 27 \n+ 28 \n+ 29 def _first_result_object(response: dict[str, JsonValue]) -> dict[str, JsonValue]:\n+ 30 result = response[\"result\"]\n+ 31 assert isinstance(result, list)\n+ 32 first = result[0]\n+ 33 assert _is_json_object(first)\n+ 34 return first\n+ 35 \n+ 36 \n 23 def test_identity_chat_and_membership_methods_return_telegram_shapes() -> None:\n 24 # Given: a started loopback fake with its deterministic default fixtures.\n 25 with FakeTelegramApi() as api:\n 26 # When: Telegram startup identity and membership methods are called.\n ...\n 152 \"update_id\": 3,\n 153 }\n 154 ],\n 155 }\n-156 assert Update.de_json(response[\"result\"][0], bot=None).callback_query is not None\n+170 update = _first_result_object(response)\n+171 assert Update.de_json(update, bot=None).callback_query is not None\n 157 \n 158 \n 159 def test_command_updates_include_telegram_bot_command_entities() -> None:\n 160 # Given: an incoming command update addressed to the disposable bot.\n ...\n 166 # When: the polling API returns the typed update.\n 167 response = _post(api, \"getUpdates\")\n 168 \n 169 # Then: PTB's command filter receives the entity Telegram supplies in production.\n-170 assert response[\"result\"][0][\"message\"][\"entities\"] == [\n+185 update = _first_result_object(response)\n+186 message = update[\"message\"]\n+187 assert _is_json_object(message)\n+188 assert message[\"entities\"] == [\n 171 {\"length\": 6, \"offset\": 0, \"type\": \"bot_command\"}\n 172 ]\n 173 \n 174 \n ...","patch":"--- /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py\n+++ /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py\n@@ -4,9 +4,11 @@\n import json\n import stat\n from concurrent.futures import ThreadPoolExecutor\n from pathlib import Path\n+from typing import TypeGuard\n \n+from pydantic import JsonValue\n from telegram import Update\n \n from scripts.dualcoach_v111_evidence import write_text\n from scripts.dualcoach_v111_fake_telegram import (\n@@ -19,8 +21,20 @@\n post as _post,\n )\n \n \n+def _is_json_object(value: JsonValue) -> TypeGuard[dict[str, JsonValue]]:\n+ return isinstance(value, dict)\n+\n+\n+def _first_result_object(response: dict[str, JsonValue]) -> dict[str, JsonValue]:\n+ result = response[\"result\"]\n+ assert isinstance(result, list)\n+ first = result[0]\n+ assert _is_json_object(first)\n+ return first\n+\n+\n def test_identity_chat_and_membership_methods_return_telegram_shapes() -> None:\n # Given: a started loopback fake with its deterministic default fixtures.\n with FakeTelegramApi() as api:\n # When: Telegram startup identity and membership methods are called.\n@@ -152,9 +166,10 @@\n \"update_id\": 3,\n }\n ],\n }\n- assert Update.de_json(response[\"result\"][0], bot=None).callback_query is not None\n+ update = _first_result_object(response)\n+ assert Update.de_json(update, bot=None).callback_query is not None\n \n \n def test_command_updates_include_telegram_bot_command_entities() -> None:\n # Given: an incoming command update addressed to the disposable bot.\n@@ -166,9 +181,12 @@\n # When: the polling API returns the typed update.\n response = _post(api, \"getUpdates\")\n \n # Then: PTB's command filter receives the entity Telegram supplies in production.\n- assert response[\"result\"][0][\"message\"][\"entities\"] == [\n+ update = _first_result_object(response)\n+ message = update[\"message\"]\n+ assert _is_json_object(message)\n+ assert message[\"entities\"] == [\n {\"length\": 6, \"offset\": 0, \"type\": \"bot_command\"}\n ]\n \n \n","firstChangedLine":8},"isError":false,"timestamp":1787385541435}}
{"type":"message","id":"bb8b6f72","parentId":"feb7840f","timestamp":"2026-08-22T07:59:09.670Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Planning parallel code diagnostics**","startedAt":1787385542538,"thinkingSignature":"{\"id\":\"rs_0303f5a230a41a0e016a8956c6839487d0ba21b115aa6266d5\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqiVbHucdXMJzPwbUdctI7pANeD1io7k2K4tEoLKpBuI1M1tAwQK6d6M4uv0Ba1YRZ_eS4HwWM3pAJDjnB__Zd-CHBNO1OquokGSvhhayAdtw3b19gF3vJDjHMo0AKVvdSVZTVoB-iPgT4Ze3ZHkJknmgg1-yEuhnkyV4U3Mq44F58FPK8my6vnokT-ZUXyDIAl5zHPEDd1fecQb4qjVuYS_7AybCadbnKCfYq1iEs91JciVwZmyqzqddfkvL02oVgIV1USn1Ftr915PU2dwEF5_KaYxu30wmBHeH826P7ym84cfkhbCLD55664th94lYC5my_ZxeR6nbqTFZwkR0jBARUoattImRIxSZaOZs5bL1YwO1KH8xaVt0wiLwelwrXFFMqJINTrJw9I7WyTgEhBUypas4KEgJbORaP7IBejHOkfjbonLSGLuow6rnscxUaeLLjMQFynGfKFJRr_vZpgeIC4AqS3H0OxJEHekw3yfVpnYJ0DvKEV9e_9Tpeci2dSfKAuwlHb3pCjLnkRgbn-I6-KmtsNQrxW6Ck-biLKgOLYjkphVhU0KfGsAGfJnWXehoV04Cht7n-1XAhThmA99vYKMFue129V2xvWuP--ryvyb23CWrfP813eb0htRwT2k2cCvHUVXJkW_qcqzdF0Zxj4eVisug7rRg4iK3Iv51g-PJYroWgVtLWh5ZeRcqtkXGTCta10sWjCZKQ7uzGtEOLgfLPKKZfnDelOm_BdLr-8FzOyt5jfUzbfX62ncvKNTdstEKx18fVij78mi-YkqXeTTJ75PRgpwYZtVNYYHGH2L0eTswFjmfDPax2p-5-BCdufpTS8_02_nPgLsxwdltugGF7bwwtSuY9ht00LPkcjjcF72lPvFrg4HkkcRyHHW72LBK2DK34UDnYNcycVbUROUERkw4b-S5OyRe7AUyq-P8kTkGY162zu6eMbKxCNZ7DISaYbyQZMrchGYYFB-kiWJhk1VWv9IKb__hkGswljT7ipDZ2ODvcnXdPb_xDg1RhEUdSJm5XRLcVVj9P7W_7_WgQO6wp2FNBwgkHZjrLT87Q0eKpuNookAeyZ0Aegss63qTdRgHI4HVTU_yZVqcoDvVwtQEKbNdb4p9iJvGa9-okGTPjExxS-KpmghoKMYpcJaThxnRBdHnALc-dukNp--7XyFIcBQ1WfpNySGHWmj_-ucWOTc9sjGoR9T1XlIgES_b7szdR43MGSUs8caeoVIZexq29KYf7BuA0JAVHcS68eHrY6AVmeegm9JwBoVYe2WIqF9C8dDTS0uJIAOsWkEo1WpWdmCJRznYKH3d3uVRl716jY5qioTZ1GF0RekyoC68b7CmWR5wihnQmqRW5a1xhGDfC4uHJ_Ytg7w9K9VHaDseXFu5mn0dy-asOVNPQnTdP_3HSojq1woq4-BBJCD1DHW2xWGrMdQ9jadbVQD2NdkUoPA9GXzsqqXyA99ViMAOJjmUv4DO5IpEBIgfRnA==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Planning parallel code diagnostics**\"}]}","endedAt":1787385543677},{"type":"text","text":"The repair is now in place: the result payload is narrowed to a typed JSON object before PTB parsing, and the command-message payload is narrowed before nested access. I’m running the checker and all requested single-file gates now.","textSignature":"{\"v\":1,\"id\":\"msg_0303f5a230a41a0e016a8956c7a7a887d0b58a33bff4aa8eae\",\"phase\":\"commentary\"}"},{"type":"toolCall","id":"call_aJfoRi7RUC8uUWGkutcPUbET|fc_0303f5a230a41a0e016a8956cd9ae087d09637fd74fbc15397","name":"bash","arguments":{"command":"cd /home/cube/projects/richard/.worktrees/nutricoach-v111-impl && uv run basedpyright tests/gateway/test_fake_telegram_bot_api.py","timeout":120}},{"type":"toolCall","id":"call_PxE2dMxrckSXnfS2sQAuPZ3b|fc_0303f5a230a41a0e016a8956cd9af087d08b7aaaa5a45b70d0","name":"bash","arguments":{"command":"cd /home/cube/projects/richard/.worktrees/nutricoach-v111-impl && uv run ruff check tests/gateway/test_fake_telegram_bot_api.py","timeout":120}},{"type":"toolCall","id":"call_7lvdNBckPXb7S9BzVzjYswwM|fc_0303f5a230a41a0e016a8956cd9af887d08c3318a18f79fdfe","name":"bash","arguments":{"command":"cd /home/cube/projects/richard/.worktrees/nutricoach-v111-impl && uv run python -m py_compile tests/gateway/test_fake_telegram_bot_api.py","timeout":120}},{"type":"toolCall","id":"call_Xr89cAkeABsnujpJoAEtSnnW|fc_0303f5a230a41a0e016a8956cd9afc87d0927782c32b69eae4","name":"bash","arguments":{"command":"cd /home/cube/projects/richard/.worktrees/nutricoach-v111-impl && uv run scripts/python/check-no-excuse-rules.py tests/gateway/test_fake_telegram_bot_api.py","timeout":120}},{"type":"toolCall","id":"call_Yxh4huBI8mIsUFIiAyW6CkB2|fc_0303f5a230a41a0e016a8956cd9b0487d0b767a2f9e5075487","name":"bash","arguments":{"command":"cd /home/cube/projects/richard/.worktrees/nutricoach-v111-impl && uv run pytest tests/gateway/test_fake_telegram_bot_api.py","timeout":120}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-luna","usage":{"input":1998,"output":391,"cacheRead":45568,"cacheWrite":0,"reasoning":44,"totalTokens":47957,"cost":{"input":0.0003996,"output":0.00046919999999999997,"cacheRead":0.0009113600000000001,"cacheWrite":0,"total":0.00178016}},"stopReason":"toolUse","timestamp":1787385541437,"responseId":"resp_0303f5a230a41a0e016a8956c5dbcc87d0bd565cc27073d5d9","rawStopReason":"completed"}}
{"type":"message","id":"de5f5eea","parentId":"bb8b6f72","timestamp":"2026-08-22T07:59:10.270Z","message":{"role":"toolResult","toolCallId":"call_aJfoRi7RUC8uUWGkutcPUbET|fc_0303f5a230a41a0e016a8956cd9ae087d09637fd74fbc15397","toolName":"bash","content":[{"type":"text","text":"0 errors, 0 warnings, 0 notes\n"}],"isError":false,"timestamp":1787385550270}}
{"type":"message","id":"ed400d47","parentId":"de5f5eea","timestamp":"2026-08-22T07:59:10.270Z","message":{"role":"toolResult","toolCallId":"call_PxE2dMxrckSXnfS2sQAuPZ3b|fc_0303f5a230a41a0e016a8956cd9af087d08b7aaaa5a45b70d0","toolName":"bash","content":[{"type":"text","text":"All checks passed!\n"}],"isError":false,"timestamp":1787385550270}}
{"type":"message","id":"5f4ac852","parentId":"ed400d47","timestamp":"2026-08-22T07:59:10.270Z","message":{"role":"toolResult","toolCallId":"call_7lvdNBckPXb7S9BzVzjYswwM|fc_0303f5a230a41a0e016a8956cd9af887d08c3318a18f79fdfe","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1787385550270}}
{"type":"message","id":"52e1e502","parentId":"5f4ac852","timestamp":"2026-08-22T07:59:10.270Z","message":{"role":"toolResult","toolCallId":"call_Xr89cAkeABsnujpJoAEtSnnW|fc_0303f5a230a41a0e016a8956cd9afc87d0927782c32b69eae4","toolName":"bash","content":[{"type":"text","text":"error: Failed to spawn: `scripts/python/check-no-excuse-rules.py`\n Caused by: No such file or directory (os error 2)\n\n\nCommand exited with code 2"}],"details":{},"isError":true,"timestamp":1787385550270}}
{"type":"message","id":"522d52c8","parentId":"52e1e502","timestamp":"2026-08-22T07:59:10.270Z","message":{"role":"toolResult","toolCallId":"call_Yxh4huBI8mIsUFIiAyW6CkB2|fc_0303f5a230a41a0e016a8956cd9b0487d0b767a2f9e5075487","toolName":"bash","content":[{"type":"text","text":"============================= test session starts ==============================\nplatform linux -- Python 3.12.9, pytest-9.0.2, pluggy-1.6.0\nrootdir: /home/cube/projects/richard/.worktrees/nutricoach-v111-impl\nconfigfile: pyproject.toml\nplugins: anyio-4.12.1, asyncio-1.3.0\nasyncio: mode=Mode.STRICT, debug=False, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function\ncollected 0 items / 1 error\n\n==================================== ERRORS ====================================\n_________ ERROR collecting tests/gateway/test_fake_telegram_bot_api.py _________\n.venv/lib/python3.12/site-packages/pydantic/type_adapter.py:287: in _init_core_attrs\n self.core_schema = _getattr_no_parents(self._type, '__pydantic_core_schema__')\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/type_adapter.py:56: in _getattr_no_parents\n raise AttributeError(attribute)\nE AttributeError: __pydantic_core_schema__\n\nDuring handling of the above exception, another exception occurred:\ntests/gateway/test_fake_telegram_bot_api.py:13: in \n from scripts.dualcoach_v111_evidence import write_text\nscripts/dualcoach_v111_evidence.py:40: in \n _JSON_ADAPTER: TypeAdapter[JsonValue] = TypeAdapter(JsonValue)\n ^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/type_adapter.py:244: in __init__\n self._init_core_attrs(\n.venv/lib/python3.12/site-packages/pydantic/type_adapter.py:306: in _init_core_attrs\n core_schema = schema_generator.generate_schema(self._type)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:744: in generate_schema\n schema = self._generate_schema_inner(obj)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1043: in _generate_schema_inner\n return self.match_type(obj)\n ^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1161: in match_type\n return self._match_generic_type(obj, origin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1184: in _match_generic_type\n return self._union_schema(obj)\n ^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1344: in _union_schema\n choices.append(self.generate_schema(arg))\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:744: in generate_schema\n schema = self._generate_schema_inner(obj)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1043: in _generate_schema_inner\n return self.match_type(obj)\n ^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1161: in match_type\n return self._match_generic_type(obj, origin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1188: in _match_generic_type\n return self._list_schema(self._get_first_arg_or_any(obj))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:399: in _list_schema\n return core_schema.list_schema(self.generate_schema(items_type))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:744: in generate_schema\n schema = self._generate_schema_inner(obj)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1043: in _generate_schema_inner\n return self.match_type(obj)\n ^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1161: in match_type\n return self._match_generic_type(obj, origin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1184: in _match_generic_type\n return self._union_schema(obj)\n ^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1344: in _union_schema\n choices.append(self.generate_schema(arg))\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:744: in generate_schema\n schema = self._generate_schema_inner(obj)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1043: in _generate_schema_inner\n return self.match_type(obj)\n ^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1161: in match_type\n return self._match_generic_type(obj, origin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1188: in _match_generic_type\n return self._list_schema(self._get_first_arg_or_any(obj))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:399: in _list_schema\n return core_schema.list_schema(self.generate_schema(items_type))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nE RecursionError: maximum recursion depth exceeded\nE If you made use of an implicit recursive type alias (e.g. `MyType = list['MyType']), consider using PEP 695 type aliases instead. For more details, refer to the documentation: https://docs.pydantic.dev/2.13/concepts/types/#named-recursive-types\n!!! Recursion detected (same locals & position)\n=========================== short test summary info ============================\nERROR tests/gateway/test_fake_telegram_bot_api.py - RecursionError: maximum r...\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\n=============================== 1 error in 0.23s ===============================\n\n\nCommand exited with code 2"}],"details":{},"isError":true,"timestamp":1787385550270}}
{"type":"message","id":"a54fd715","parentId":"522d52c8","timestamp":"2026-08-22T07:59:16.050Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Locating project script path**","startedAt":1787385552079,"thinkingSignature":"{\"id\":\"rs_0303f5a230a41a0e016a8956d00e2487d08bd353893d83881a\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqiVbTFkdq_pW0KVHY7t2YMDIoG_Ou_Eme3bUaLbX68pLMzE8dvrOpoRunH276k1WHimMQd3r9MOWzeVBrn-NptzmsON8svhwbl2ohTMwnb4oJKRFlsn7DSxDko6qeO7-zAzi6zMdHRwu0XfAOE0mjKo5M10i9xAi2OErIxsEePsTffGBpOAliN6tTQyYhrt3_QRztXl-bX8ZAF3_2um6LWko03B6nBSr_pCX7GsH5gi_Kp36wxWY_oD3kl_e99je87A-IokyiK272KOn4FUQmozazZrRSEz7jn2M2xxI2VhjESCbx4NBunHYmpiE0bIh2DJq9w4Zh-MwUDoztFXGh_iQqoPz9RTcrFBnVGmFu1usQTZFUzWmYGsQyviReRA0ay5Qsqn013VOoYx6m_Kmx1xCRtlVL-JNPTN-Wmj5KB5Fqi-dE1DdGeKhk-YxxKljN9UKgez2Hq77cYG1l_PVoKitae36aiPS_eFFiBqaRmQlkA16IKG-eurnD3hHWmvKRrNUhWl4fW3qBroBAzuQC-sn2EC7Tixs5QDGpWwZMjpIGr9YKlfl7UEu7DUmJ4RyseeTfSW2hsbxluNP-wDBlf7Z8KJBqz4hijHXZ1QlVCSzJA6kZQyMfu-teSgZiEhtSyQWc4bnEoOU-EzSXj4DVFqRBTaOGoegNxEcT0NV1oSor7_3s8bCfDTKzpac9o1D8iLr8DXNOgye6vbPpBAwnygfDjMMM2pvJNY4_jBBkE32AMEUQ99z7aDu2bd0YGIM7jpueBiQxvWoH-jhT32eQLFZ5YReTCpcdP43kLuYShlipg7G94Bx_lFSsLdtvvsG1HVJFCM_wi3wgqj4-nifeldQMU1njWvDByrlCDDlqb3o4pSfJmGisq2ziJq5wo8EjTmAtCWsrrhTRIp7UfNdBhWrIr9N2CCDBXSkNx0eWFXNld63v-atXvu68aEmHDo5Ui1zdJexKPC9LyZp1Nu6BKkyJPhdvTvbuWp7TcnoFgP-iw2ib8BlqVnfGSUCQocnH_C-NTq-lPdt6jF63txFEQEUMclx4vNUWij47iyfPmmLebXfLHDL7n7H1TbqyY0Pjo9r4b2dWfyvJWvZSr8A1afcAvmiHluTZqnWhuI6f0e_yBJMhi1FcxaTAkyP-g7VDCQ1bVtok-asoTGq-fQz1qg91Exaaw0H_BFJWkqhNiIICoF1C8wnL_OGzdAHLWLAVuVBUkZXT8wTb5bCwtKUWRv3HntpCiDzV5q-k89O-bTcfkd1b_P9nKAyEXBCeuc8UI0r_rwTD--vcWhzevM35wWqHNj-ebx5dquG1p_2rJCY4I5tDm3uAQP2SoB_VXwn5b6AWjADNNeQe6jIiuClqRk-Av05UhizrydKkQRGLfypl9iw=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Locating project script path**\"}]}","endedAt":1787385556019},{"type":"toolCall","id":"call_ExKdBsxv1o1gM5CIJj1V5o1a|fc_0303f5a230a41a0e016a8956d3fce887d09d0b68e89e084e5a","name":"bash","arguments":{"command":"find /home/cube/projects/richard/.worktrees/nutricoach-v111-impl -path '*check-no-excuse-rules.py' -o -path '*check_no_excuse*'"}},{"type":"toolCall","id":"call_TCSiO5wwUrKak3XAWwfx7S4m|fc_0303f5a230a41a0e016a8956d3fcf887d0acde0622b29e87e7","name":"bash","arguments":{"command":"git -C /home/cube/projects/richard/.worktrees/nutricoach-v111-impl diff -- tests/gateway/test_fake_telegram_bot_api.py"}},{"type":"toolCall","id":"call_rqXcWKn4uo4lW7T5ambXAl77|fc_0303f5a230a41a0e016a8956d3fd0087d085c3c20d68a3c078","name":"bash","arguments":{"command":"awk '!/^[[:space:]]*$/ && !/^[[:space:]]*(\\/\\/|#|--)/' /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py | wc -l"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-luna","usage":{"input":2960,"output":219,"cacheRead":46592,"cacheWrite":0,"reasoning":21,"totalTokens":49771,"cost":{"input":0.0005920000000000001,"output":0.0002628,"cacheRead":0.00093184,"cacheWrite":0,"total":0.00178664}},"stopReason":"toolUse","timestamp":1787385550273,"responseId":"resp_0303f5a230a41a0e016a8956ce8db887d08021f39ac2e5da26","rawStopReason":"completed"}}
{"type":"message","id":"af7d6813","parentId":"a54fd715","timestamp":"2026-08-22T07:59:16.094Z","message":{"role":"toolResult","toolCallId":"call_ExKdBsxv1o1gM5CIJj1V5o1a|fc_0303f5a230a41a0e016a8956d3fce887d09d0b68e89e084e5a","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1787385556094}}
{"type":"message","id":"61734d2e","parentId":"af7d6813","timestamp":"2026-08-22T07:59:16.094Z","message":{"role":"toolResult","toolCallId":"call_TCSiO5wwUrKak3XAWwfx7S4m|fc_0303f5a230a41a0e016a8956d3fcf887d0acde0622b29e87e7","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1787385556094}}
{"type":"message","id":"b3369171","parentId":"61734d2e","timestamp":"2026-08-22T07:59:16.094Z","message":{"role":"toolResult","toolCallId":"call_rqXcWKn4uo4lW7T5ambXAl77|fc_0303f5a230a41a0e016a8956d3fd0087d085c3c20d68a3c078","toolName":"bash","content":[{"type":"text","text":"391\n"}],"isError":false,"timestamp":1787385556094}}
{"type":"message","id":"f6cfa3c1","parentId":"b3369171","timestamp":"2026-08-22T07:59:25.954Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Verifying untracked file edit and pytest failure causes**\n\n**Locating and planning no-excuse rule 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untracked file edit and pytest failure causes**\"},{\"type\":\"summary_text\",\"text\":\"**Locating and planning no-excuse rule checks**\"}]}","endedAt":1787385565909},{"type":"toolCall","id":"call_4LxtA5xg0abmlbu8eGkZ4P1z|fc_0303f5a230a41a0e016a8956dde14887d0b5a61738accef8de","name":"bash","arguments":{"command":"find /projects/richard/omo-native-pirate/packages/omo-senpi/plugin/skills/programming -name 'check-no-excuse-rules.py' 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{"type":"message","id":"9ef1b799","parentId":"f6cfa3c1","timestamp":"2026-08-22T07:59:25.977Z","message":{"role":"toolResult","toolCallId":"call_4LxtA5xg0abmlbu8eGkZ4P1z|fc_0303f5a230a41a0e016a8956dde14887d0b5a61738accef8de","toolName":"bash","content":[{"type":"text","text":"/projects/richard/omo-native-pirate/packages/omo-senpi/plugin/skills/programming/scripts/python/check-no-excuse-rules.py\n/projects/richard/omo-native-pirate/packages/omo-senpi/plugin/skills/programming/scripts/rust/check-no-excuse-rules.py\n"}],"isError":false,"timestamp":1787385565977}}
{"type":"message","id":"11594c82","parentId":"9ef1b799","timestamp":"2026-08-22T07:59:25.977Z","message":{"role":"toolResult","toolCallId":"call_wxAASK5hwXmQZ6cV5uLfXc9B|fc_0303f5a230a41a0e016a8956dde15887d0ae31b5b1fca224c4","toolName":"lsp_diagnostics","content":[{"type":"text","text":"LSP file path must be inside request cwd: /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py"}],"isError":false,"timestamp":1787385565977}}
{"type":"message","id":"4a45f97a","parentId":"11594c82","timestamp":"2026-08-22T07:59:25.977Z","message":{"role":"toolResult","toolCallId":"call_aQhnLv2CHxxfADbziqjMzlIB|fc_0303f5a230a41a0e016a8956dde16487d09214fdb725c31f2b","toolName":"read","content":[{"type":"text","text":"from __future__ import annotations\n\nimport http.client\nimport json\nimport stat\nfrom concurrent.futures import ThreadPoolExecutor\nfrom pathlib import Path\nfrom typing import TypeGuard\n\nfrom pydantic import JsonValue\nfrom telegram import Update\n\nfrom scripts.dualcoach_v111_evidence import write_text\nfrom scripts.dualcoach_v111_fake_telegram import (\n CallbackQueryUpdate,\n FakeTelegramApi,\n MessageUpdate,\n)\nfrom tests.support.fake_telegram_client import (\n message_response as _message_response,\n post as _post,\n)\n\n\ndef _is_json_object(value: JsonValue) -> TypeGuard[dict[str, JsonValue]]:\n return isinstance(value, dict)\n\n\ndef _first_result_object(response: dict[str, JsonValue]) -> dict[str, JsonValue]:\n result = response[\"result\"]\n assert isinstance(result, list)\n first = result[0]\n assert _is_json_object(first)\n return first\n\n\ndef test_identity_chat_and_membership_methods_return_telegram_shapes() -> None:\n # Given: a started loopback fake with its deterministic default fixtures.\n with FakeTelegramApi() as api:\n # When: Telegram startup identity and membership methods are called.\n me = _post(api, \"getMe\")\n chat = _post(api, \"getChat\", chat_id=-100700)\n member = _post(api, \"getChatMember\", chat_id=-100700, user_id=7000000002)\n\n # Then: each response carries the Telegram-compatible typed fixture.\n\n[461 more lines in file. Use offset=46 to continue.]"}],"isError":false,"timestamp":1787385565977}}
{"type":"message","id":"78edb298","parentId":"4a45f97a","timestamp":"2026-08-22T07:59:25.977Z","message":{"role":"toolResult","toolCallId":"call_8J4Ke5VD8flbAWWzAYGaQojy|fc_0303f5a230a41a0e016a8956dde16c87d0962c1ecf1ca5120b","toolName":"read","content":[{"type":"text","text":" assert response == {\n \"ok\": True,\n \"result\": [\n {\n \"callback_query\": {\n \"chat_instance\": \"loopback-chat-41\",\n \"data\": \"private-callback-data\",\n \"from\": {\"first_name\": \"User\", \"id\": 7, \"is_bot\": False},\n \"id\": \"private-callback-id\",\n \"message\": {\n \"chat\": {\"id\": 41, \"type\": \"private\"},\n \"date\": 0,\n \"from\": {\n \"first_name\": \"Disposable NutriCoach\",\n \"id\": 7000000002,\n \"is_bot\": True,\n \"username\": \"disposable_nutricoach_bot\",\n },\n \"message_id\": 9,\n },\n },\n \"update_id\": 3,\n }\n ],\n }\n update = _first_result_object(response)\n assert Update.de_json(update, bot=None).callback_query is not None\n\n\ndef test_command_updates_include_telegram_bot_command_entities() -> None:\n # Given: an incoming command update addressed to the disposable bot.\n with FakeTelegramApi() as api:\n _ = api.enqueue_update(\n MessageUpdate(chat_id=41, user_id=7, text=\"/start rc1_abcdefghijklmnopqrstuv\")\n )\n\n # When: the polling API returns the typed update.\n response = _post(api, \"getUpdates\")\n\n[324 more lines in file. Use offset=183 to continue.]"}],"isError":false,"timestamp":1787385565977}}
{"type":"message","id":"772852f5","parentId":"78edb298","timestamp":"2026-08-22T07:59:33.923Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Evaluating LSP diagnostics path limitations**","startedAt":1787385568118,"thinkingSignature":"{\"id\":\"rs_0303f5a230a41a0e016a8956e0179087d0bb31a16b97a1a1b7\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqiVblDKRDbyzSFM34OIooPMOG2r_1ThHPb2N6AmCTDOSs9ZXh7ur4psOTrlLqVxWuCzdBEeesqu9ihaUELw192EDrxtiQfCFBtUV1C8RcRzs10VBznb1AarAGKMOM1WtRElqjzhHZmfq6ievzrGRKU0mAmMbOYgDyoO1CEWircHRMZB1UtgYJXuXJ7mQq0xhaotjT_bCNy8ZLKg-wnq9AYmoPN8Ib_rC11KKseDqFxYTZPp7k7x9hUEgH1nXAeingBZBGj3FE9oT3tBb5mgyIYqeI24IPeBTdT1zSHurb91qPhvqnbkqn3FIds5SwUA192cXEK-m6EFJtrpTUV_14dWtyYULaT3MDLm5dpHyhBwQ_57k264tdApYcQwetHtPAaFFnJFacWeH2pXiubLDGvUvYrpxxgx-nmcvv3o1GCh7leRiBR54xqX9cHz8N64dg3xQgWTwIEpWC8B9eKT82-ui9qgbJ7ftiW20vpWN0e_CG730ZJmcNKmS2vdhvXR5VCRkpESvL06mGvqxSzY5fGIrpF6mCJqu6mQ0-imsJkSWwQpcaMkewUv9QV8qjaQQaxRdguCtSOcoH1sGtrm9Pps0qCTAEgaKiIOqU9CraIJzPOQsrFUg8tn_9DpN_VaGoJ6isdvvrmV2dkpIWA_62pgWlu0JMhZXyBr4J7dSwvge3TEHCqFAGfl29Wat_jaoeuY-gnb9mJ77StwG6GhwINI0rbj6_DRXnUHweMBvIl-ZKlch_lqPeQ52yygZ386_yq4B2ZOjVbRulktmy43al70gf76AbvNX4JhAkq929u5fTMcKDyHIXcmTiYPaU2mpn2nClkVSFyoqgQ2RqJmbZFQsxO0zQRAkO8v3dYeGy_9HTbxLDC-Y4Jt-6U-ypxHpbK0pTAmZt8ibPe-KIfLUUP5hXj6vibea2wFNXANqqDaF6EdcR0EKa1D-AycDcYUf4zyKPShf8l83nHJayOL30rlREBWbcazTYA6L6t_Baf7a5MXn6aJiOToor2CA8XfxYB3p1qenlulgSqJZkRUfm8sv3cQ2WFJ8sP6Sp2hTB4QzXfYFLYspMUNJ-PxqJymUA9rWC8u8AmOimO6Mg5qPB9Hrer-FXwA09GtOqIZqxtL6u8kxkK2j3bfIfIev270X5uPgUs6vcKzY0n4bGE7ie_DFk-su51BGikosFIqyNSe6ZuUH-hCGrpvVPk08AlwULk8snC_mFY0JXph9v3ZKslAVvk3c6n2EWu2TJIlPAoV6JASUIy-HO_MuoHCXsJLCQZJickoCEbQEzZTHLKXp5nWAUnrXQ7diEvLAFUXa8Ub1sHHeLKSF-gadMM3eVJ2PuVNFsEv2ZALH45P7hVxwvVEGzG47NdidjxWiQUOE-UO_XyFGYnurq2Yfs0NbqzHcOP1QvaDyp9ja4zM2ZjfjuXEIBW1OCaEhk2ntKo7pFaCiyP8pa6PfG1F8M6zy0NSSoaEELQ4_BKbU-gQRBFMMJXLadCHtaNCmxDcE09AJnr0hOLjsPnm6QDJU_cJACGJP3N2LuwkEEYrWNzlXkM8K_qDdXWXHp8SaCZN_IGvCeVB5AZkRqID-vB7MBrur9V8Ded_F6xqIJvC99Nzjp7ovViu2aPh7Xt5JJtIbv38N0u67-P-5B6ZSf6982oHSrCnCi1F4wLoRTjbiok6YUn7U4Sfo2vtnjHbVx1fLZhVeF7ayGiXZZrutEgb7nUPNLJScUMmZTZvGtKRTTTStbD8GXsC1FW1OHJ9CKycoTMF9ZRlucJoxiYhjfIRuNkgFInqkrXZjxCrYWkRSAsYmZeMudOojBxPCkbB6yBU74r_fh3VgTy4togcJipAVMUvhrKl7ZXiQ2ipN2fSecjt1WQc9FBqcC2rHTWvMpZ-z8PBhQl8Eogrvgr1oVyGeOEEl46q_Cy0zShX55nIDJbJ4YK1455abi_xwUMgOX8WHkkT3ZqrWyxELsRfsbaLngYevvFnndJVDb7LOsY2691QBpfNMdmYGNfrWPsNt9i-xx1KPFwAK-Sxt7QwzBLZ-JlWYgmjdMvUb20Iy-WWdPXZ_W8LGDjK_vVLaGo8D4X4T7-wshQDhbOGWO8yZuSrePL9Lr7NmYMj8afXACwyZOYhWXxJg_aIvVCIzNy-QAAbAY3dkV2iW8Kaif0KUAznf9im4lYkMPVLgP5wmi43C842eDE-I3CCS9czfp_LdxUxKicMe4aHT8kfgoKRCjVoy7W6nPWho-_5ZAWhF2WiWqk1UzFfFUzRy4aA==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Evaluating LSP diagnostics path limitations**\"}]}","endedAt":1787385573890},{"type":"toolCall","id":"call_cdusjR73PykQlQ5CWzidZtQm|fc_0303f5a230a41a0e016a8956e5dd8087d09cdcdb2fd9b043fe","name":"bash","arguments":{"command":"cd /home/cube/projects/richard/.worktrees/nutricoach-v111-impl && uv run python /projects/richard/omo-native-pirate/packages/omo-senpi/plugin/skills/programming/scripts/python/check-no-excuse-rules.py tests/gateway/test_fake_telegram_bot_api.py","timeout":120}},{"type":"toolCall","id":"call_RCECwvkRdSJtiPr4sI87qkVS|fc_0303f5a230a41a0e016a8956e5dd9087d0b5fec0273e06645d","name":"lsp_diagnostics","arguments":{"filePath":"../.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py","severity":"all"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-luna","usage":{"input":1418,"output":321,"cacheRead":49664,"cacheWrite":0,"reasoning":174,"totalTokens":51403,"cost":{"input":0.0002836,"output":0.0003852,"cacheRead":0.00099328,"cacheWrite":0,"total":0.00166208}},"stopReason":"toolUse","timestamp":1787385565979,"responseId":"resp_0303f5a230a41a0e016a8956de7e0087d091dc143beee4ae55","rawStopReason":"completed"}}
{"type":"message","id":"019e006f","parentId":"772852f5","timestamp":"2026-08-22T07:59:34.006Z","message":{"role":"toolResult","toolCallId":"call_cdusjR73PykQlQ5CWzidZtQm|fc_0303f5a230a41a0e016a8956e5dd8087d09cdcdb2fd9b043fe","toolName":"bash","content":[{"type":"text","text":"/home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:1:1: [oversized-module] 391 pure LOC (limit: 250) — split by responsibility\n\n1 violation(s) in 1 file(s)\n\n\nCommand exited with code 1"}],"details":{},"isError":true,"timestamp":1787385574006}}
{"type":"message","id":"a932fc60","parentId":"019e006f","timestamp":"2026-08-22T07:59:34.007Z","message":{"role":"toolResult","toolCallId":"call_RCECwvkRdSJtiPr4sI87qkVS|fc_0303f5a230a41a0e016a8956e5dd9087d0b5fec0273e06645d","toolName":"lsp_diagnostics","content":[{"type":"text","text":"LSP file path must be inside request cwd: ../.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py"}],"isError":false,"timestamp":1787385574006}}
{"type":"message","id":"68acaf39","parentId":"a932fc60","timestamp":"2026-08-22T07:59:45.021Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering suppressing size violation with noqa**\n\n**Investigating test import recursion issues**\n\n**Analyzing fake module import causing test failures**","startedAt":1787385574940,"thinkingSignature":"{\"id\":\"rs_0303f5a230a41a0e016a8956e6eab887d09ff9df7fab757529\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqiVbw4B594mmfzaDisMb7M6GivdPFuMyeRLh0lSRxyeKM5IcZnOyeqSlcuICZWXg_hdEmvYE5YsYRXisB6ZDAggLsBEMGNAqfR7jY--NRlewcZqli-MjxdOlufyCh63hCWuUzQXhNte1I8LIW3UFrPGKo6ah4EVpJSlUKlfp4o7iaLuNIfs5KhL-SNuIYsDO1OwUfNcyPLJQG7oD71WC-XhSrkH8xcPCfKicooimS9_mFUCICmYzTcpxyDnMOk8ATbG9zjr1vWvTlYUIj_vPufvpk001q0kX5Tf8HfJGJ9HltytqU2E3fa6_XZKpGBt-qh0amm_XDtEbHrJw-g40iIZ4hLo-KPLHs8vfQNLLc8d6NHW9rjXIWqmjiDHzjkXbKWLEgrYrMozNUVrTa5NiM9pPwPEOd6fYllsjNBIzp4-xufBHwOMX7LBwD6FF9QoO0uv1Tl6_cM3hPw325VNa05JQnTOLhBBF1j0R29I-1KW-yAAIL3eqQDq86_S9KVR9hgw5I5PXvYF_5-PAiEXHGaFBEjDUHBBt03tHhBWIjMCXfS4VTaMHfe1MhEiGFc6aqpaP5V-IpEELrGd325qgaveuOo4ipv1_ZCpYd1D8WcgO8yDrisXlKgWL3bQNenHNVneXVEhttaziE3gChLyl6teohMm0GqnLjzNTInorDFS2qddJo9hydI-ABD-PCEpEscsnLoUrzJ1Xjg8xvq_NyEXZEmBb3fyZIkFCcylABBvSedBcbsKMn4uAiDpW9dbYn0Hwt4yEUxzi34A3bHYjX4luDXvNqpVRDEl2R_NRnYakDMFLc2n1xICSJxvCp0i6n4Ecom8gPrqUHSP6LhgtTbyFa6nlhItnJixjihiDw_LkGMZw5U4sL8AEWNNWa2wiqbOAFaHKCeuwaHObsbs_eG-gx3Nk-dbEQ839RNW6gZyKZWNIIALNTFXqfCoSyMDpScKcGuQliHPQ2fJ0m2DEppH05ByMsdAC-rP0aIcea3i19qqfJ_QQC4GXtV2GtM6kpjbEvf8sXf1h-yEXz-GtFcsJil_pLeEVgJvcyS8XOwbGsW2sDJ3SvGd2767h8Q39MCw39yLfxyTRsAlfv22oSGq-CFUxFaO0VpE8GIO5Q-qsGkLUSvw8oSB51FepLU9dToOcuT8ObhXuwhmJ-9WtXONCMGko31h1XZKPFn2v0lGHA51bpSbfpz4izsfTLhYpYW0WyWRRBBjwpAcq_Gq3iVuzU6CJcG3X7aHUlNgL-DqflI2IIeGACVhg3SgJcMz2CIK1vhm6mn7LD7WSxmmDKVIrlrG3csJfJ0WeXmGzH8gF2bD2sBJHbjTGZEFZgkJdpO3tIkS8E3AjqgeIwWFseCifHDnnul7bDy98iKprIGPgkFOGYovvr6OwGhujKj5_qkRjDB0xkwZoyTUPydF86hjUTbr67j1n8Qj76_NNq_SjQi02PwFCF01WkHqkX2E_WQSKCte5xaVsRW98nA6wvIJBg9uMpHA0ZwgfC-et4AGVe4ZE4U8nsE1ZughizhRpqWSbs5oVDX1LWshaF1S0RGT8oOFX7NbWQilsz8Z8NCbGIDjgE61kCZ9zl2czRcYkK1CryThi95Bwj_57jL0E6UEtIJ7ddTYRKqya5UWcOyURhCa2FKhGJi8y559Bdpn6HlUA4TOMMC_S2PmNmmj4kadk4eAiJcMQE8K9v4BrNzM2GH7MNBeG1M-UwfXH73w1lbgLKVh11euWxESJ5DvS_viM_jx22AjWevKr9yrSUFxA368IGxB_Fi0R8cG64B1Z89qkOQiBvrEmBlYK7rOo0VbfOR4pzKlWVT4L60AChVTCH0cwlj0HZyNUnWRb9PfgSLG3YIxtu8ulFjLetRTAO5u9C2POtc2TtilQ7HrqsMw91qJ1BajsVReJB8IGIk7ztzV8zbrIuAYQnoduH7z_Mi-Z3WBCNQtsZwZe3-6ZCAY-AELJhNTesCZKyyDNqeRWdTsyJs2ja3Y_R2i7HIkwNmfpIBlznDslk0SncoG4f0sF_Eoa_P2gg2Q9ScbvpXEQtHjwgq8qu1QLiNASsIPkRKy80TXYSEjsYU9FZxgptFxfZarIeq1QXoSWY30M6qCth44xy1ujwb96iXVsP00-Ia6XsFNpfztT4jbRIajdn-u9SUHAwZmmI1vuBjYpcFXqEjLcSfGK-_aI0Il2FarG4u96_xEPRdWiMiI46AOMFMf0CqRniwGLouMY8CDNY6LH_U5J5h4rz9CnpcWTxilddS0qzlijHvStHPmlBikjsQLgDs6npYjas6vbT-yGQha5vCg3m6kbunzMqAODLQVQubTKo7e80AClFbXKPGrMn1Q1HcKs7jLbu-uOQzVgQUivlixXdEX7DvkOQbGixNbbvFWFGcE7WYripPohJj2qngchyB7lXXYvMi5HfAFXwRHOBgWNUO0xj0_NJmCEpaOplxeoQgSWjeMfwWFBclm8ov-SqTF3xZ3HhA6LPtOeXoNr4osctMtc6kVreNiw-vy596D-Z7avFol_xLwXgiG8Y5ng48gp9FFeQA7TKr-cs-GF5fGanx6f8FdVC83yzBIm7eYpX4LQdnTddE0XsdEvierxEOy-Vq1OdtBNJQlSld2KlFNMI01dWqXjeqavUpjse37oTKYortsVi-UdRhaagSbnmG1aoS3vvDg991113SpUU0w4qYUkeILY6sYJZwls3zv3wt0nnKhQZuFXjI6q3CSZUMYjXY02GO15YvAmIlHH7yvMHlBCpHHWZ0rcw0REXglUjjVAVv0KpVKFHZla4_KgLd-3LkPy-3Qr06KDI8yJAELJ7tDW-3fvtHSvIHc4IPyKnZgdLPptH8OM7NS3HRdNDdofu1-89nYkpzWk_dpidAeHePW_CavmiXd2RU15psQJIws46dXacxECiWyaFj0SEbMzm0hSEhU7NTWW4ynQUhy7_JLLstG9ziOAP6a82Ik9kyoz43_r1mpCV5Pj8-aEHbcwQzU9M_SO-zwRMUQb9xhh2jv46xMsn-4YCO1HVdFgQpZ5VmbhPsJ7cLnrZ5jgXjqxoOLk1plZhu_hJjrHQTua13yL6iaTZEh7BIaUykMiHqe2vjcmE3QDqyCES6isFBQmBYSh0HHHiwWz-qYddvxPr8bHvKl81y0jYMYeMWJXq1YbKbKEoycBu3yhgdPcgH9xw-alOc982evMcpdS48mbkIiMVilj-bCI6tq1Xcykj0f7Me_BhWSI6ipf2YYC5BnfJ-5xppjX0Z3Iwn-Uhz1miKibwfEmT328OuDU12gsZJpgcQfLfH7JeXDIj7oM3zFZbsgz-v6AQAvYGUElHU7j9hE1excVl1OoejZMxeCnHuFLISRRfVGt3GGJrPxIMOLpqRPL4uTtdIOpUG9InA_KgtAgB6OT0hZXrDJIXiJpJFLfEdRSthklErlJ_Yym4xIoc5FnJ5yjPjOhiqlwsj5sNnxljMAnEd4tTVlBpR7x7LCM-MAJHUvpWAuSEGj2Yo8_NM8gtBGIzpBO1ShQftf6s-zb21N8OD5i8Bu_KtQDTGhRXaZwWlCthIaElqs_5r2-_d-_9h-RnkvQyNyiKbGwXwyHaENl2r7TLCcLxL1Oe3G_UUdfMgeC6bANNOYS-rdLbP6O8qDUE7P_BeZFx_GtEv3FO88CsN-tb4s5VlXM_K1ZgJlaMQ3BQvlObN4CosEfjvcO8_hz81qzWEOzLzQVQvjbk8Z0tTo8Xy3mhlnfgnpF3m7vXeduhNVEww6osi5_AHWaaGjTneB9LwXIGT4tdRzDyzOyHYyWB_QlEK68e9-fmTynTWGdArpAo5wjIayoqT9IruU99DnmmXVH7-z2D8YtD6zn0G3tzQJlJRFFUbfq2FncsG0GDkE5CdBHgQNQGsmeuc71u8-fwkA8_TiAgawzlqHvN28KP7VOQDJQF0nxsP_qYXp9kabX0JLADWfrh1LMhC2P97KqF0JAIX3H7IGJdeVVJrnsYM3mS2lJkK_Oehdu7j0On53yZ0GV2kGg8HX_XO7MowJbFHTL5R3un26ETzAsPbOqxaXcvvn8l83nLvlJ0nMTZ-XztrBmV5yzvCSEC8O0Wx29TDitVCB_fcphkNbnLXsGw2WnlEzEuBu7jAR2HWdySB3uN2YbZ0fBDlroZJhj2UA8Ux3d2OywkpGRNq0RbgyNDWYiBfdZZi44fAHCm04I34y9xJO0neOt8iv8rov52_uSqoOtQyUPjJ6aFIVQu7pIK8I-PLv1_QHN5S9HwI_NVzCkT2anHbJFJ3v2lk91UG98vcEFI7rETYc2OdzufeLNKkEz0iFQs9Qni5QhFLIoI3WgnPFGhWenXp7DBPOaEF-B6UlpoE5CIhNczALENzRx6S4wjr9KL8Al6IhJzBLyNypqN0ah6h-2H4dqcHw70bM9csU_sTkYLHshUVN2YBbkmMTfpAjPE5tjQswPe2lxO_7jZ6GE74KCwfOmsW8U6T2wcA3drg0TF_LFSFMStUrLu2kzn2fss40BDkk_8sD8f11nkepuRaHM=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering suppressing size violation with noqa**\"},{\"type\":\"summary_text\",\"text\":\"**Investigating test import recursion issues**\"},{\"type\":\"summary_text\",\"text\":\"**Analyzing fake module import causing test failures**\"}]}","endedAt":1787385584707},{"type":"toolCall","id":"call_F0VnktPKJEWke64xdORZrhnv|fc_0303f5a230a41a0e016a8956f0aeec87d0bb9f9a9ace33889c","name":"read","arguments":{"path":"/home/cube/projects/richard/.worktrees/nutricoach-v111-impl/scripts/dualcoach_v111_evidence.py","offset":1,"limit":100}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-luna","usage":{"input":838,"output":559,"cacheRead":50688,"cacheWrite":0,"reasoning":505,"totalTokens":52085,"cost":{"input":0.0001676,"output":0.0006707999999999999,"cacheRead":0.00101376,"cacheWrite":0,"total":0.00185216}},"stopReason":"toolUse","timestamp":1787385574009,"responseId":"resp_0303f5a230a41a0e016a8956e64c3887d0984d5fab0bbc60d6","rawStopReason":"completed"}}
{"type":"message","id":"1dfde8be","parentId":"68acaf39","timestamp":"2026-08-22T07:59:45.025Z","message":{"role":"toolResult","toolCallId":"call_F0VnktPKJEWke64xdORZrhnv|fc_0303f5a230a41a0e016a8956f0aeec87d0bb9f9a9ace33889c","toolName":"read","content":[{"type":"text","text":"\"\"\"Private evidence persistence for the disposable DualCoach v1.1.1 run.\"\"\"\n\nfrom __future__ import annotations\n\nimport json\nimport os\nimport stat\nimport tempfile\nfrom collections.abc import Mapping\nfrom dataclasses import dataclass\nfrom pathlib import Path\nfrom typing import Final, TypeAlias, override\n\nfrom pydantic import TypeAdapter\n\n_GENERATED_NAMES: Final = frozenset(\n {\n \"candidate-binding.json\",\n \"capability-issuance.json\",\n \"child-after-restart.json\",\n \"child-before-crash.json\",\n \"cleanup.json\",\n \"crash-restart-state.json\",\n \"disposable-e2e-red.txt\",\n \"failure.json\",\n \"fake-api-calls.jsonl\",\n \"model-provider-calls.json\",\n \"network-boundary.json\",\n \"offsets.json\",\n \"pass.json\",\n \"process-events.json\",\n \"process-events.jsonl\",\n \"publication-counts.json\",\n \"receipt-assertions.json\",\n \"transcript.txt\",\n }\n)\nJsonScalar: TypeAlias = str | int | float | bool | None\nJsonValue: TypeAlias = JsonScalar | list[\"JsonValue\"] | dict[str, \"JsonValue\"]\n_JSON_ADAPTER: TypeAdapter[JsonValue] = TypeAdapter(JsonValue)\n\n\n@dataclass(frozen=True, slots=True)\nclass EvidenceError(RuntimeError):\n reason: str\n\n @override\n def __str__(self) -> str:\n return self.reason\n\n\ndef prepare_evidence_dir(path: Path) -> None:\n \"\"\"Create a private directory and remove stale generated alternatives.\"\"\"\n path.mkdir(mode=0o700, parents=True, exist_ok=True)\n _ = path.chmod(0o700)\n for name in _GENERATED_NAMES:\n (path / name).unlink(missing_ok=True)\n\n\ndef write_private(path: Path, payload: bytes) -> None:\n \"\"\"Atomically replace an artifact via an exclusive mode-0600 temporary.\"\"\"\n path.parent.mkdir(mode=0o700, parents=True, exist_ok=True)\n _ = path.parent.chmod(0o700)\n descriptor, temporary_name = tempfile.mkstemp(\n dir=path.parent,\n prefix=f\".{path.name}.\",\n suffix=\".tmp\",\n )\n temporary = Path(temporary_name)\n try:\n os.fchmod(descriptor, 0o600)\n with os.fdopen(descriptor, \"wb\", closefd=True) as stream:\n stream.write(payload)\n stream.flush()\n os.fsync(stream.fileno())\n os.replace(temporary, path)\n finally:\n temporary.unlink(missing_ok=True)\n\n\ndef write_json(path: Path, payload: Mapping[str, JsonValue]) -> None:\n write_private(\n path,\n (json.dumps(payload, sort_keys=True, separators=(\",\", \":\")) + \"\\n\").encode(),\n )\n\n\ndef write_text(path: Path, text: str) -> None:\n write_private(path, text.encode(\"utf-8\"))\n\n\ndef verify_evidence(evidence_dir: Path, transcript: Path, marker: str) -> None:\n \"\"\"Prove privacy, loopback isolation, final marker, and cleanup.\"\"\"\n if stat.S_IMODE(evidence_dir.stat().st_mode) != 0o700:\n raise EvidenceError(\"evidence directory is not private\")\n for artifact in (*evidence_dir.iterdir(), transcript):\n if (\n artifact.is_symlink()\n or not artifact.is_file()\n or stat.S_IMODE(artifact.stat().st_mode) != 0o600\n\n[38 more lines in file. Use offset=101 to continue.]"}],"isError":false,"timestamp":1787385585025}}
{"type":"message","id":"ecd39379","parentId":"1dfde8be","timestamp":"2026-08-22T07:59:50.064Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Planning Python 3.13 testing for Pydantic issue**","startedAt":1787385585996,"thinkingSignature":"{\"id\":\"rs_0303f5a230a41a0e016a8956f1f8a487d0b71a4d378e244347\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqiVb2Y6stLa0C3vWww0vkzg8JmCqOlt9n8XeRtWWSqfEVvIiTzFuSe_t4fC2SqISchiYQEFdt7LXFbEBv7BTuBRGBKZfEWQL9KQD6uYgizsPkpDYU7hraUP5S6WHLEWw5oOZwhw_xajmzqpsh0Pie1VOXea5Mn6Z2XgAGR3q0XEWFM2mI4CbOHwrpqLYDYzi5EhuT8SKlJOpk31Qy_dkSvO3JpbztLMIe_NZ0k-epkmP7wcgH2s4r5uBA1nLBONEgjoAW4hhxKsDsyE8AxLKrP9r03AI1TKizQr_mVG-q2U0H0JTCoX0tERgdVGe2y-FE0Wc7yzOnVE1SGXPoWkNMcE5zqXzZHEwmcM5pVY3NAw3KjNzzvoAluAzvSz77liEQdgPs_JpXA4siL4YScXpF1hTFRiqHJPHqNveiwcpTqsLUga0NLjQ9YebyXI6jNmxiZXWrCGyvELxqI4Kor0hMLfCOYx1MLgdVhB8E6NpMfSgC40tFOpmBOIFqiVbVBmXpeV0230AG3-ijTK1eAH68Nh8-ji0r_GODNYF4EtfFdhu3Pu-jtDdqGhPp7eiBptOEMX9il8b8r1XXdQ-03jsxSWJC-GitJRsX2TYh4jsxGKjm4Qz5IS8ctc6W4zprsM1ElkXO73YRA8F9QtvWGhlYihr-aMYPa5aWowka_EoHIS9G9EPEtwsv7XhIFzZtdFFHniV-_GDGYISfTHRbzUnNOE8wq5gzJAN8bjch3FeKeYZFvAG1DplLKjPVY_fX0Thu-5_lZvXDyxoFd1S41RVu4TLs2elPAV8nSZp92Ps-wEGWtlBdJkOI4ZFxh2cp7yMaB_M9H8kb9JMjy2kXgSgzoz_vzcmtb6Ely_7985MBwTjyXnRPSF23QJW5KhhXr5nFcS7T8_ZBTR8A3NIDEr3D852zWza_Tz95QfD8s58K8HIUGTTSe_JUDcVVS-kJoKyk40IlbWWlZBPKHlwMG5IWD2W6vHxhaLGQXEVORidFeQtl1qHYn6M08b67bm4qRTwOxAEfgdlqaN_CCVOfbTcyK2TGOh4POeqQRr6-adfaa8nihSk9ExxuJHNPsc4xFe9tMU9MI-eOsavpObWcAMiBqtYxju7JIm0cMlGebj76YrffiE5NptzKbwB0clXtk5HrlslIXcCtDlTLbDic6_2ooER1THtMOe5X6ZAE6TGguzFYCWsZN2Jcd5pDGjqKtg85toQ-Q4QJBFquuEHnxV9_jGMvf0P0xKNa_4SMkoveptmOU0lYGTwc1uj3siNjj4ALtdiZFzul2XPuXicUd92Yo2nCBJrCoJFBko_tNphhUK3UWXxIN1oQYEVOs2KhT8Q_3rTqELCtGwAMLuheDlDMreq52zHX-yJnufhmKg2NdHf1ZiEhDh7cRPichrA4BjGNTpFA6vbOmqOPVi6UC1md4PV-XXjULJtUrcfVeWq3a16wZKEo2Bx3imnXJctvKJvNe0jA9sN-CD6soFbdU-c4H0jAEFr1ujwWrf1A-jpDCGU-mCM=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Planning Python 3.13 testing for Pydantic issue**\"}]}","endedAt":1787385590037},{"type":"toolCall","id":"call_T06Zh2RlRJ4PWTcbJoF6Hoek|fc_0303f5a230a41a0e016a8956f5fda087d0a76349f09a05d5d0","name":"bash","arguments":{"command":"cd /home/cube/projects/richard/.worktrees/nutricoach-v111-impl && uv python list","timeout":120}},{"type":"toolCall","id":"call_qv558Ibfw0HcSvsr7PujAPzZ|fc_0303f5a230a41a0e016a8956f5fdb087d0a3e13378911cc642","name":"bash","arguments":{"command":"cd /home/cube/projects/richard/.worktrees/nutricoach-v111-impl && python --version && uv run python --version && uv run pydantic --version 2>/dev/null || true","timeout":120}},{"type":"toolCall","id":"call_y07YA9vEfPOsS6TsQDgaWyzZ|fc_0303f5a230a41a0e016a8956f5fdb887d092573e63a500abfa","name":"bash","arguments":{"command":"git -C /home/cube/projects/richard/.worktrees/nutricoach-v111-impl status --short -- tests/gateway/test_fake_telegram_bot_api.py"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-luna","usage":{"input":2164,"output":224,"cacheRead":50688,"cacheWrite":0,"reasoning":50,"totalTokens":53076,"cost":{"input":0.00043280000000000006,"output":0.0002688,"cacheRead":0.00101376,"cacheWrite":0,"total":0.00171536}},"stopReason":"toolUse","timestamp":1787385585028,"responseId":"resp_0303f5a230a41a0e016a8956f1649487d0a510fb9a09e48da6","rawStopReason":"completed"}}
{"type":"message","id":"4a2a583c","parentId":"ecd39379","timestamp":"2026-08-22T07:59:50.159Z","message":{"role":"toolResult","toolCallId":"call_T06Zh2RlRJ4PWTcbJoF6Hoek|fc_0303f5a230a41a0e016a8956f5fda087d0a76349f09a05d5d0","toolName":"bash","content":[{"type":"text","text":"cpython-3.15.0b4-linux-x86_64-gnu \ncpython-3.15.0b4+freethreaded-linux-x86_64-gnu \ncpython-3.14.6-linux-x86_64-gnu \ncpython-3.14.6+freethreaded-linux-x86_64-gnu \ncpython-3.13.14-linux-x86_64-gnu \ncpython-3.13.14+freethreaded-linux-x86_64-gnu \ncpython-3.13.7-linux-x86_64-gnu /usr/bin/python3.13\ncpython-3.13.7-linux-x86_64-gnu /usr/bin/python3 -> python3.13\ncpython-3.12.13-linux-x86_64-gnu /home/cube/.local/bin/python3.12 -> /home/cube/.local/share/uv/python/cpython-3.12-linux-x86_64-gnu/bin/python3.12\ncpython-3.12.13-linux-x86_64-gnu /home/cube/.local/share/uv/python/cpython-3.12-linux-x86_64-gnu/bin/python3.12\ncpython-3.12.9-linux-x86_64-gnu /home/cube/miniconda3/bin/python3.12\ncpython-3.12.9-linux-x86_64-gnu /home/cube/miniconda3/bin/python3 -> python3.12\ncpython-3.12.9-linux-x86_64-gnu /home/cube/miniconda3/bin/python -> python3.12\ncpython-3.11.15-linux-x86_64-gnu \ncpython-3.11.0-linux-x86_64-gnu /usr/local/bin/python3.11\ncpython-3.10.20-linux-x86_64-gnu \ncpython-3.9.25-linux-x86_64-gnu \ncpython-3.8.20-linux-x86_64-gnu \npypy-3.11.15-linux-x86_64-gnu \npypy-3.10.16-linux-x86_64-gnu \npypy-3.9.19-linux-x86_64-gnu \npypy-3.8.16-linux-x86_64-gnu \ngraalpy-3.12.0-linux-x86_64-gnu \ngraalpy-3.11.0-linux-x86_64-gnu \ngraalpy-3.10.0-linux-x86_64-gnu \ngraalpy-3.8.5-linux-x86_64-gnu \n"}],"isError":false,"timestamp":1787385590159}}
{"type":"message","id":"d9220c3b","parentId":"4a2a583c","timestamp":"2026-08-22T07:59:50.159Z","message":{"role":"toolResult","toolCallId":"call_qv558Ibfw0HcSvsr7PujAPzZ|fc_0303f5a230a41a0e016a8956f5fdb087d0a3e13378911cc642","toolName":"bash","content":[{"type":"text","text":"Python 3.12.9\nPython 3.12.9\n"}],"isError":false,"timestamp":1787385590159}}
{"type":"message","id":"7f0d31ce","parentId":"d9220c3b","timestamp":"2026-08-22T07:59:50.159Z","message":{"role":"toolResult","toolCallId":"call_y07YA9vEfPOsS6TsQDgaWyzZ|fc_0303f5a230a41a0e016a8956f5fdb887d092573e63a500abfa","toolName":"bash","content":[{"type":"text","text":"?? tests/gateway/test_fake_telegram_bot_api.py\n"}],"isError":false,"timestamp":1787385590159}}
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{"type":"message","id":"7b62cb1e","parentId":"a454f2b7","timestamp":"2026-08-22T07:59:55.929Z","message":{"role":"toolResult","toolCallId":"call_6BzRu70tm5b7YTDCvu4L20BK|fc_0303f5a230a41a0e016a8956fa157087d081236945428edaba","toolName":"bash","content":[{"type":"text","text":"Using CPython 3.13.7 interpreter at: /usr/bin/python3.13\nRemoved virtual environment at: .venv\nCreating virtual environment at: .venv\nDownloading uvloop (4.2MiB)\nDownloading pillow (6.8MiB)\n Downloaded uvloop\n Downloaded pillow\nInstalled 60 packages in 26ms\n============================= test session starts ==============================\nplatform linux -- Python 3.12.9, pytest-9.1.1, pluggy-1.5.0\nrootdir: /home/cube/projects/richard/.worktrees/nutricoach-v111-impl\nconfigfile: pyproject.toml\nplugins: langsmith-0.6.7, anyio-4.12.1\ncollected 0 items / 1 error\n\n==================================== ERRORS ====================================\n_________ ERROR collecting tests/gateway/test_fake_telegram_bot_api.py _________\n/home/cube/miniconda3/lib/python3.12/site-packages/pydantic/type_adapter.py:287: in _init_core_attrs\n self.core_schema = _getattr_no_parents(self._type, '__pydantic_core_schema__')\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n/home/cube/miniconda3/lib/python3.12/site-packages/pydantic/type_adapter.py:56: in _getattr_no_parents\n raise AttributeError(attribute)\nE AttributeError: __pydantic_core_schema__\n\nDuring handling of the above exception, another exception occurred:\ntests/gateway/test_fake_telegram_bot_api.py:13: in \n from scripts.dualcoach_v111_evidence import write_text\nscripts/dualcoach_v111_evidence.py:40: in \n _JSON_ADAPTER: TypeAdapter[JsonValue] = TypeAdapter(JsonValue)\n ^^^^^^^^^^^^^^^^^^^^^^\n/home/cube/miniconda3/lib/python3.12/site-packages/pydantic/type_adapter.py:244: in __init__\n self._init_core_attrs(\n/home/cube/miniconda3/lib/python3.12/site-packages/pydantic/type_adapter.py:306: in _init_core_attrs\n core_schema = schema_generator.generate_schema(self._type)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n/home/cube/miniconda3/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:729: in generate_schema\n schema = self._generate_schema_inner(obj)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n/home/cube/miniconda3/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1028: in _generate_schema_inner\n return self.match_type(obj)\n ^^^^^^^^^^^^^^^^^^^^\n/home/cube/miniconda3/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1144: in match_type\n return self._match_generic_type(obj, origin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n/home/cube/miniconda3/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1167: in _match_generic_type\n return self._union_schema(obj)\n ^^^^^^^^^^^^^^^^^^^^^^^\n/home/cube/miniconda3/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1327: in _union_schema\n choices.append(self.generate_schema(arg))\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n/home/cube/miniconda3/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:729: in generate_schema\n schema = self._generate_schema_inner(obj)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n/home/cube/miniconda3/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1028: in _generate_schema_inner\n return self.match_type(obj)\n ^^^^^^^^^^^^^^^^^^^^\n/home/cube/miniconda3/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1144: in match_type\n return self._match_generic_type(obj, origin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n/home/cube/miniconda3/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1171: in _match_generic_type\n return self._list_schema(self._get_first_arg_or_any(obj))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n/home/cube/miniconda3/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:384: in _list_schema\n return core_schema.list_schema(self.generate_schema(items_type))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n/home/cube/miniconda3/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:729: in generate_schema\n schema = self._generate_schema_inner(obj)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n/home/cube/miniconda3/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1028: in _generate_schema_inner\n return self.match_type(obj)\n ^^^^^^^^^^^^^^^^^^^^\n/home/cube/miniconda3/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1144: in match_type\n return self._match_generic_type(obj, origin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n/home/cube/miniconda3/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1167: in _match_generic_type\n return self._union_schema(obj)\n ^^^^^^^^^^^^^^^^^^^^^^^\n/home/cube/miniconda3/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1327: in _union_schema\n choices.append(self.generate_schema(arg))\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n/home/cube/miniconda3/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:729: in generate_schema\n schema = self._generate_schema_inner(obj)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n/home/cube/miniconda3/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1028: in _generate_schema_inner\n return self.match_type(obj)\n ^^^^^^^^^^^^^^^^^^^^\n/home/cube/miniconda3/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1144: in match_type\n return self._match_generic_type(obj, origin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n/home/cube/miniconda3/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:1171: in _match_generic_type\n return self._list_schema(self._get_first_arg_or_any(obj))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n/home/cube/miniconda3/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:384: in _list_schema\n return core_schema.list_schema(self.generate_schema(items_type))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nE RecursionError: maximum recursion depth exceeded\nE If you made use of an implicit recursive type alias (e.g. `MyType = list['MyType']), consider using PEP 695 type aliases instead. For more details, refer to the documentation: https://docs.pydantic.dev/2.12/concepts/types/#named-recursive-types\n!!! Recursion detected (same locals & position)\n=========================== short test summary info ============================\nERROR tests/gateway/test_fake_telegram_bot_api.py - RecursionError: maximum r...\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\n=============================== 1 error in 0.20s ===============================\n\n\nCommand exited with code 2"}],"details":{},"isError":true,"timestamp":1787385595929}}
{"type":"message","id":"544cdd6f","parentId":"7b62cb1e","timestamp":"2026-08-22T08:00:00.323Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Investigating pytest Python version mismatch**","startedAt":1787385597439,"thinkingSignature":"{\"id\":\"rs_0303f5a230a41a0e016a8956fd6a7487d0b37611bf4e71fa3f\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqiVb_5Nz1N3Q_jw0ExZbrHgCS94WoP3c6iXEzf3hBIRuai-rdSSv1Y_S229HRCPkHLJrIy99AUTrqRsdqd9WYuAUF3CpKJxMsjByL_4aKMKt4ECIlySKQSxpE-61KqMt7Cl_kKSzeqjyhlep1eBgtN34NQwoW6ZDtdIlCDKQzA7XaWGfbtqeGfXz1GZ-k7uGDDoXv1jP7F8l1auWKRvGQ_K5IHqK18IDMA2Kr3fUdmRn2YQh527Jz2UFcCrjBIfyGUXGeVi7gAtuvp-pM1Ix5zKoKsk7Llmp783-M8oogWr5sO-w_wY2xLHwGCnQuNV7SIhANVSLQrifJmvTr6E4hjKxwpBYlL4w7NGeqnvGINDHvJAIsZr7JkljaO9yVp1DXpyhrN8wcF-kOG4V7hObK3Brs6CaxwqoTNx3SxJ0cA8XiH5OnLhQNAz9JcbM4BJREbBH16EsdNcZmAl6Ug-f8nmaADp0f9mxASo9mO1qKt3oGxiGrhl6gP_a42JQEleVuNOAlTO6cGXCoNSIPtMyIV1rwVdaO4MSZOW7niW8SWlCUPY3CgkR-2BzT6YaCj1YdG-PndshD15hLrbo7sI3ghlMu7tH2QgnbIB4hYxw8X37kz9rLWNM9lRrEuGiDovrEL5TnE-d8TrD3a25KWOie1nLlUHD3SE7KFvKTudWXFkuD2itXW4JIsbBhZsozsG2_x2-fiNr14nrw4Cyn9Yr7QL5sii1w9LkvT3kpt7zOkwMnOZ43_g6ExEqHZ0fwDHjy6qpp5nRyd-Z_0CTbUwFoE6rFluqClkyfQw0OTu--Lzgac8spfP6lL7AvUkNK9mQOT4VQ6XkPrkt2cYXYHHxjShtl-nRaCoGFwlBXPdOgy_DuPxjGnpiHMQCupl8qHyiNYPmjpW39ti4R2QDaWQLeEvmrt_DLL4BxkzNTqC0cgQOZqtKXJs4VB20OsPhJkBUxH55LMLbZStHuZtdFRDGHJXiOJAS-riHAZexVDWsnmJaQgIvCFgrFPnuXTaim2yQAw9_ScvPJpqkrcqMEVyJtmPNRmhPna6L5nABl0yxrLOsk_Yceep0oy18kckejdkcfjwnJ1iJwRrOPRkv6o11TaBMId0F4kWtzICsUKPdtfiGArBbb0IG0b2_z28ttPhPQCRQfAIEuXhqJ1uLrPh0B2KL5RrBMxQ-tFERKP6dBhRwyVsIS0VU8hfTMgxaIbi-8TkoJoWUrNR0VfZ4bTTE5K0OUqisRFd5OWaigIn7UPm_UVZlQO1j4mXykpXbQWJQj0vAq22NujfUFF7X_3itKdwGYlZtMoHr7M5yh0B9mL4l-HIghTRTILPsULX-mBziPrbe86O344_fLs72dwKJfBonSsINE6946vqXkeB39E-Fh306A2OD2rkUka6foY-GsPEoUaCga75oOawd40V3Z7QghfxXSwmr0h2TRJerDoyCuThxCWKC_dVtJQSo5Of0iAjDR4Mb6KK9rxtCBJiU4Zh4lHnEQN1yTCpBK-HpNLroXjLidM6PIldRyfqcVlQoQk3lO543i5IHKCLacLhWYYfyYghXUZQlSGlQwOTwBhQtlImQp9MS1lZylNuTnTctnZyYx\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Investigating pytest Python version mismatch**\"}]}","endedAt":1787385599306},{"type":"toolCall","id":"call_JRhtdgHwvEBri69YODRLLFqg|fc_0303f5a230a41a0e016a8956ff41a887d08f7bf103f6008c0c","name":"bash","arguments":{"command":"cd /home/cube/projects/richard/.worktrees/nutricoach-v111-impl && uv run --python /usr/bin/python3.13 python -c 'import sys; print(sys.executable, sys.version)' && uv run --python /usr/bin/python3.13 python -m pytest tests/gateway/test_fake_telegram_bot_api.py","timeout":120}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-luna","usage":{"input":2913,"output":159,"cacheRead":52736,"cacheWrite":0,"reasoning":63,"totalTokens":55808,"cost":{"input":0.0005826000000000001,"output":0.0001908,"cacheRead":0.00105472,"cacheWrite":0,"total":0.0018281200000000001}},"stopReason":"toolUse","timestamp":1787385595932,"responseId":"resp_0303f5a230a41a0e016a8956fc403087d083a76a2388f9a53f","rawStopReason":"completed"}}
{"type":"message","id":"d67c98ac","parentId":"544cdd6f","timestamp":"2026-08-22T08:00:00.465Z","message":{"role":"toolResult","toolCallId":"call_JRhtdgHwvEBri69YODRLLFqg|fc_0303f5a230a41a0e016a8956ff41a887d08f7bf103f6008c0c","toolName":"bash","content":[{"type":"text","text":"/home/cube/projects/richard/.worktrees/nutricoach-v111-impl/.venv/bin/python3 3.13.7 (main, Mar 3 2026, 12:19:54) [GCC 15.2.0]\n/home/cube/projects/richard/.worktrees/nutricoach-v111-impl/.venv/bin/python3: No module named pytest\n\n\nCommand exited with code 1"}],"details":{},"isError":true,"timestamp":1787385600465}}
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{"type":"message","id":"7347106e","parentId":"f186384d","timestamp":"2026-08-22T08:00:09.864Z","message":{"role":"toolResult","toolCallId":"call_k2Ih3pk8SfiLc12RJjoFEKwb|fc_0303f5a230a41a0e016a8957094d8087d0954f678d78957c3c","toolName":"bash","content":[{"type":"text","text":"/home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:11:6 - error: 가져오기 \"telegram\"을(를) 확인할 수 없습니다. (reportMissingImports)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:11:22 - warning: \"Update\" 유형을 알 수 없습니다. (reportUnknownVariableType)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:171:12 - warning: \"de_json\" 유형을 알 수 없습니다. (reportUnknownMemberType)\n /home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:171:12 - warning: \"callback_query\" 유형을 알 수 없습니다. (reportUnknownMemberType)\n1 error, 3 warnings, 0 notes\n\n\nCommand exited with code 1"}],"details":{},"isError":true,"timestamp":1787385609864}}
{"type":"message","id":"2e7a2c89","parentId":"7347106e","timestamp":"2026-08-22T08:00:09.864Z","message":{"role":"toolResult","toolCallId":"call_gNPsIY9YQRVVIhTX0i8Sumxt|fc_0303f5a230a41a0e016a8957094d9087d0bd029cc0a1cab2c2","toolName":"bash","content":[{"type":"text","text":"error: Failed to spawn: `ruff`\n Caused by: No such file or directory (os error 2)\n\n\nCommand exited with code 2"}],"details":{},"isError":true,"timestamp":1787385609864}}
{"type":"message","id":"550a40fd","parentId":"2e7a2c89","timestamp":"2026-08-22T08:00:09.864Z","message":{"role":"toolResult","toolCallId":"call_rYteRQnVWuYt1uoxttJyfRZ3|fc_0303f5a230a41a0e016a8957094d9487d09da92c566b986f39","toolName":"bash","content":[{"type":"text","text":"?? tests/gateway/test_fake_telegram_bot_api.py\n"}],"isError":false,"timestamp":1787385609864}}
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{"type":"message","id":"fa687104","parentId":"f4aad9bf","timestamp":"2026-08-22T08:00:15.658Z","message":{"role":"toolResult","toolCallId":"call_lez9n9bCsFnJhJzBTpL6zpMB|fc_0303f5a230a41a0e016a89570f890c87d09016cbb3cba9183f","toolName":"bash","content":[{"type":"text","text":"/home/cube/.local/bin/basedpyright\n/home/cube/miniconda3/bin/pytest\nlrwxrwxrwx 1 cube cube 19 Aug 22 16:59 python -> /usr/bin/python3.13\nlrwxrwxrwx 1 cube cube 6 Aug 22 16:59 python3 -> python\nlrwxrwxrwx 1 cube cube 6 Aug 22 16:59 python3.13 -> python\n"}],"isError":false,"timestamp":1787385615658}}
{"type":"message","id":"1af5916b","parentId":"fa687104","timestamp":"2026-08-22T08:00:15.658Z","message":{"role":"toolResult","toolCallId":"call_hcdvw7mp7Sufy3uj6DUWiHJ7|fc_0303f5a230a41a0e016a89570f891887d09b4ae7c402904518","toolName":"bash","content":[{"type":"text","text":"Resolved 225 packages in 0.78ms\n"}],"isError":false,"timestamp":1787385615658}}
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{"type":"message","id":"42e04db8","parentId":"10ffdf64","timestamp":"2026-08-22T08:00:19.212Z","message":{"role":"toolResult","toolCallId":"call_WHJDOfyQwOjmQ2vmMvKuZ8vg|fc_0303f5a230a41a0e016a895712a1b087d0a2b91137bce32794","toolName":"bash","content":[{"type":"text","text":"Resolved 225 packages in 0.73ms\nDownloading aiohttp (1.7MiB)\nDownloading debugpy (4.1MiB)\n Downloaded aiohttp\n Downloaded debugpy\nPrepared 9 packages in 189ms\nInstalled 35 packages in 24ms\n + aiohappyeyeballs==2.6.1\n + aiohttp==3.13.4\n + aiosignal==1.4.0\n + attrs==25.4.0\n + audioop-lts==0.2.2\n + brotlicffi==1.2.0.1\n + davey==0.1.4\n + debugpy==1.8.20\n + discord-py==2.7.1\n + frozenlist==1.8.0\n + httpx-sse==0.4.3\n + iniconfig==2.3.0\n + jsonschema==4.26.0\n + jsonschema-specifications==2025.9.1\n + mcp==1.26.0\n + multidict==6.7.1\n + pluggy==1.6.0\n + propcache==0.4.1\n + pydantic-settings==2.13.1\n + pynacl==1.5.0\n + pypng==0.20220715.0\n + pytest==9.0.2\n + pytest-asyncio==1.3.0\n + python-telegram-bot==22.6\n + qrcode==7.4.2\n + referencing==0.37.0\n + rpds-py==0.30.0\n + ruff==0.15.10\n + setuptools==81.0.0\n + slack-bolt==1.27.0\n + slack-sdk==3.40.1\n + sse-starlette==3.3.2\n + tornado==6.5.5\n + ty==0.0.21\n + yarl==1.22.0\n"}],"isError":false,"timestamp":1787385619212}}
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{"type":"message","id":"fc6109c1","parentId":"5b0aea75","timestamp":"2026-08-22T08:00:26.284Z","message":{"role":"toolResult","toolCallId":"call_WGNTL1N5HL4sSXmm2AqNHkqD|fc_0303f5a230a41a0e016a89571981d887d0abc75011eba89a59","toolName":"bash","content":[{"type":"text","text":"0 errors, 0 warnings, 0 notes\n"}],"isError":false,"timestamp":1787385626284}}
{"type":"message","id":"d5cd768d","parentId":"fc6109c1","timestamp":"2026-08-22T08:00:26.284Z","message":{"role":"toolResult","toolCallId":"call_1sh20NBs2pqcg8CeBejEFMpe|fc_0303f5a230a41a0e016a89571981e487d0817644a60e4f8a7c","toolName":"bash","content":[{"type":"text","text":"All checks passed!\n"}],"isError":false,"timestamp":1787385626284}}
{"type":"message","id":"afe3ff2c","parentId":"d5cd768d","timestamp":"2026-08-22T08:00:26.284Z","message":{"role":"toolResult","toolCallId":"call_8RxzsjOthSTZSvaVBlveDRHe|fc_0303f5a230a41a0e016a89571981ec87d081f74804bacab208","toolName":"bash","content":[{"type":"text","text":"============================= test session starts ==============================\nplatform linux -- Python 3.13.7, pytest-9.0.2, pluggy-1.6.0\nrootdir: /home/cube/projects/richard/.worktrees/nutricoach-v111-impl\nconfigfile: pyproject.toml\nplugins: anyio-4.12.1, asyncio-1.3.0\nasyncio: mode=Mode.STRICT, debug=False, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function\ncollected 0 items / 1 error\n\n==================================== ERRORS ====================================\n_________ ERROR collecting tests/gateway/test_fake_telegram_bot_api.py _________\n.venv/lib/python3.13/site-packages/pydantic/type_adapter.py:287: in _init_core_attrs\n self.core_schema = _getattr_no_parents(self._type, '__pydantic_core_schema__')\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.13/site-packages/pydantic/type_adapter.py:56: in _getattr_no_parents\n raise AttributeError(attribute)\nE AttributeError: __pydantic_core_schema__\n\nDuring handling of the above exception, another exception occurred:\ntests/gateway/test_fake_telegram_bot_api.py:13: in \n from scripts.dualcoach_v111_evidence import write_text\nscripts/dualcoach_v111_evidence.py:40: in \n _JSON_ADAPTER: TypeAdapter[JsonValue] = TypeAdapter(JsonValue)\n ^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.13/site-packages/pydantic/type_adapter.py:244: in __init__\n self._init_core_attrs(\n.venv/lib/python3.13/site-packages/pydantic/type_adapter.py:306: in _init_core_attrs\n core_schema = schema_generator.generate_schema(self._type)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:744: in generate_schema\n schema = self._generate_schema_inner(obj)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:1043: in _generate_schema_inner\n return self.match_type(obj)\n ^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:1161: in match_type\n return self._match_generic_type(obj, origin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:1184: in _match_generic_type\n return self._union_schema(obj)\n ^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:1344: in _union_schema\n choices.append(self.generate_schema(arg))\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:744: in generate_schema\n schema = self._generate_schema_inner(obj)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:1043: in _generate_schema_inner\n return self.match_type(obj)\n ^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:1161: in match_type\n return self._match_generic_type(obj, origin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:1188: in _match_generic_type\n return self._list_schema(self._get_first_arg_or_any(obj))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:399: in _list_schema\n return core_schema.list_schema(self.generate_schema(items_type))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:744: in generate_schema\n schema = self._generate_schema_inner(obj)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:1043: in _generate_schema_inner\n return self.match_type(obj)\n ^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:1161: in match_type\n return self._match_generic_type(obj, origin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:1184: in _match_generic_type\n return self._union_schema(obj)\n ^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:1344: in _union_schema\n choices.append(self.generate_schema(arg))\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:744: in generate_schema\n schema = self._generate_schema_inner(obj)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:1043: in _generate_schema_inner\n return self.match_type(obj)\n ^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:1161: in match_type\n return self._match_generic_type(obj, origin)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:1188: in _match_generic_type\n return self._list_schema(self._get_first_arg_or_any(obj))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:399: in _list_schema\n return core_schema.list_schema(self.generate_schema(items_type))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nE RecursionError: maximum recursion depth exceeded\nE If you made use of an implicit recursive type alias (e.g. `MyType = list['MyType']), consider using PEP 695 type aliases instead. For more details, refer to the documentation: https://docs.pydantic.dev/2.13/concepts/types/#named-recursive-types\n!!! Recursion detected (same locals & position)\n=========================== short test summary info ============================\nERROR tests/gateway/test_fake_telegram_bot_api.py - RecursionError: maximum r...\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\n=============================== 1 error in 0.25s ===============================\n\n\nCommand exited with code 2"}],"details":{},"isError":true,"timestamp":1787385626284}}
{"type":"message","id":"b0c6dc63","parentId":"afe3ff2c","timestamp":"2026-08-22T08:00:26.284Z","message":{"role":"toolResult","toolCallId":"call_K6PRbOO9bv8MZ6Y3BczObf2y|fc_0303f5a230a41a0e016a89571981f487d0b9a378f67e021f77","toolName":"bash","content":[{"type":"text","text":"/home/cube/projects/richard/.worktrees/nutricoach-v111-impl/tests/gateway/test_fake_telegram_bot_api.py:1:1: [oversized-module] 391 pure LOC (limit: 250) — split by responsibility\n\n1 violation(s) in 1 file(s)\n\n\nCommand exited with code 1"}],"details":{},"isError":true,"timestamp":1787385626284}}
{"type":"message","id":"4c322c06","parentId":"b0c6dc63","timestamp":"2026-08-22T08:00:40.586Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Planning lazy imports to fix test failure**\n\n**Confirming no test file changes allowed**\n\n**Evaluating test size suppression 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{"type":"message","id":"578dbe29","parentId":"4c322c06","timestamp":"2026-08-22T08:00:40.624Z","message":{"role":"toolResult","toolCallId":"call_5bHJaCWKeFX8j2rUPKJuh23a|fc_0303f5a230a41a0e016a895728824087d0a988233499848812","toolName":"bash","content":[{"type":"text","text":"diff --git a/tests/gateway/test_fake_telegram_bot_api.py b/tests/gateway/test_fake_telegram_bot_api.py\nnew file mode 100644\nindex 0000000000..2699b303f1\n--- /dev/null\n+++ b/tests/gateway/test_fake_telegram_bot_api.py\n@@ -0,0 +1,505 @@\n+from __future__ import annotations\n+\n+import http.client\n+import json\n+import stat\n+from concurrent.futures import ThreadPoolExecutor\n+from pathlib import Path\n+from typing import TypeGuard\n+\n+from pydantic import JsonValue\n+from telegram import Update\n+\n+from scripts.dualcoach_v111_evidence import write_text\n+from scripts.dualcoach_v111_fake_telegram import (\n+ CallbackQueryUpdate,\n+ FakeTelegramApi,\n+ MessageUpdate,\n+)\n+from tests.support.fake_telegram_client import (\n+ message_response as _message_response,\n+ post as _post,\n+)\n+\n+\n+def _is_json_object(value: JsonValue) -> TypeGuard[dict[str, JsonValue]]:\n+ return isinstance(value, dict)\n+\n+\n+def _first_result_object(response: dict[str, JsonValue]) -> dict[str, JsonValue]:\n+ result = response[\"result\"]\n+ assert isinstance(result, list)\n+ first = result[0]\n+ assert _is_json_object(first)\n+ return first\n+\n+\n+def test_identity_chat_and_membership_methods_return_telegram_shapes() -> None:\n+ # Given: a started loopback fake with its deterministic default fixtures.\n+ with FakeTelegramApi() as api:\n+ # When: Telegram startup identity and membership methods are called.\n+ me = _post(api, \"getMe\")\n+ chat = _post(api, \"getChat\", chat_id=-100700)\n+ member = _post(api, \"getChatMember\", chat_id=-100700, user_id=7000000002)\n+\n+ # Then: each response carries the Telegram-compatible typed fixture.\n+ assert me == {\n+ \"ok\": True,\n+ \"result\": {\n+ \"first_name\": \"Disposable NutriCoach\",\n+ \"id\": 7000000002,\n+ \"is_bot\": True,\n+ \"username\": \"disposable_nutricoach_bot\",\n+ },\n+ }\n+ assert chat == {\n+ \"ok\": True,\n+ \"result\": {\"id\": -100700, \"title\": \"Disposable Staff\", \"type\": \"supergroup\"},\n+ }\n+ assert member == {\n+ \"ok\": True,\n+ \"result\": {\n+ \"status\": \"administrator\",\n+ \"user\": {\n+ \"first_name\": \"Disposable NutriCoach\",\n"}],"isError":false,"timestamp":1787385640624}}
{"type":"message","id":"39cdcc4c","parentId":"578dbe29","timestamp":"2026-08-22T08:00:40.624Z","message":{"role":"toolResult","toolCallId":"call_g87bvsClxwX9clVFvEuGrcWe|fc_0303f5a230a41a0e016a895728825087d0a4953e938b37dfe2","toolName":"bash","content":[{"type":"text","text":"?? tests/gateway/test_fake_telegram_bot_api.py\n"}],"isError":false,"timestamp":1787385640624}}
{"type":"message","id":"936468c6","parentId":"39cdcc4c","timestamp":"2026-08-22T08:00:40.624Z","message":{"role":"toolResult","toolCallId":"call_vz1UmDMXCOqRIxolYOClN2eQ|fc_0303f5a230a41a0e016a895728825c87d08003dc37f3cfb0b6","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1787385640624}}
{"type":"message","id":"5cbba8d9","parentId":"936468c6","timestamp":"2026-08-22T08:01:02.712Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Verifying type guard and pydantic behavior**\n\n**Assessing test file errors and environment constraints**\n\n**Considering test file size reduction 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test failures and scope limits**\"},{\"type\":\"summary_text\",\"text\":\"**Evaluating test environment patching limitations**\"},{\"type\":\"summary_text\",\"text\":\"**Verifying test run consistency and environment**\"}]}","endedAt":1787385660704},{"type":"text","text":"I read this as a strict typing repair - completed the `TypeGuard` narrowing in `tests/gateway/test_fake_telegram_bot_api.py`.\n\n- basedpyright: **0 errors**\n- Ruff: **passed**\n- py_compile: **passed**\n- No `Any`, casts, ignores, sleeps, or suppressions added\n- Pytest is blocked during collection by the pre-existing recursive `JsonValue` `TypeAdapter` failure in `scripts/dualcoach_v111_evidence.py` (production file, outside scope).\n- No-excuse audit also reports the pre-existing file size violation: 391 pure 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