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feat(rag): retry a failed LLM request before the first token lands — BOR_LLM_RETRIES/BOR_LLM_RETRY_DELAY with a live 'retrying' status

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ducoterra
2026-09-02 10:52:38 -04:00
parent f04ddbe1f8
commit 88293ed02f
44 changed files with 2488 additions and 56 deletions
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.agent/phases/todo/66_history_auto_save_copy/00_phase.md → .agent/phases/complete/66_history_auto_save_copy/00_phase.md
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.agent/phases/todo/66_history_auto_save_copy/02_tests_and_commit.md → .agent/phases/complete/66_history_auto_save_copy/02_tests_and_commit.md
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.agent/phases/todo/67_llm_retry/01_config_and_retry_primitive.md → .agent/phases/complete/67_llm_retry/01_config_and_retry_primitive.md
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.agent/phases/todo/67_llm_retry/02_chat_endpoint_retry.md → .agent/phases/complete/67_llm_retry/02_chat_endpoint_retry.md
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.agent/phases/todo/67_llm_retry/03_agent_round_retry.md → .agent/phases/complete/67_llm_retry/03_agent_round_retry.md
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.agent/phases/todo/67_llm_retry/04_frontend_retry_status.md → .agent/phases/complete/67_llm_retry/04_frontend_retry_status.md
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.agent/phases/todo/67_llm_retry/05_e2e_and_commit.md → .agent/phases/complete/67_llm_retry/05_e2e_and_commit.md
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.agent/reports/66_history_auto_save_copy/66_history_auto_save_copy__00_phase.a1.err
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.agent/reports/66_history_auto_save_copy/66_history_auto_save_copy__00_phase.a1.md
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All criteria verified independently — no fixes were needed. Final report:
**Phase 66 final verification pass — all green**
- Verified (no code changes required): `frontend/history.html` — the 3 retired Save-button strings are gone; the 3 locked (A3) auto-save strings present byte-exact (meta L6, page-sub L107, empty row L162); `<h1>Saved chats</h1>` + anonymous gate copy byte-identical in `f04ddbe`'s diff.
- `tests/e2e/test_history_copy.py` run in isolation asserts the rendered admin page: gate hidden, table visible, 0-row empty-row + page-sub + meta equal locked copy, whole body matches no "press(ed) save"/"save button" pattern, `#save-chat-btn` absent.
- Tests: `uv run pytest tests/e2e/test_history_copy.py -v --no-cov` → 1 passed · regressions in isolation: `test_chat_history.py` → 5 passed, `test_stale_saved_chats.py` → 3 passed (DB up, healthy).
- `uv run pytest --cov=app --cov-report=term-missing` → 1254 passed, TOTAL **99%** (>90%).
- `uv run ruff check . && uv run pyright` → "All checks passed!" / "0 errors, 0 warnings".
- Commit criterion: `f04ddbe` exists on `main` with the locked message, staged `.agent/ frontend/ tests/`, no gpgsig (i.e. `--no-gpg-sign`); task files 01+02 now in `.agent/phases/complete/66_history_auto_save_copy/` (the 02 move sits in the working tree for the harness to finalize — left untouched per rules).
- Deviations: none.
- Next pending phase: `67_llm_retry` (`01_config_and_retry_primitive.md`).
.agent/reports/66_history_auto_save_copy/66_history_auto_save_copy__00_phase.a1.validate
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=============================== warnings summary ===============================
.venv/lib/python3.13/site-packages/fastapi/testclient.py:1
/var/home/ducoterra/Projects/Personal/brain_of_reese/.venv/lib/python3.13/site-packages/fastapi/testclient.py:1: StarletteDeprecationWarning: Using `httpx` with `starlette.testclient` is deprecated; install `httpx2` instead.
from starlette.testclient import TestClient as TestClient # noqa
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
================================ tests coverage ================================
_______________ coverage: platform linux, python 3.13.13-final-0 _______________
Name Stmts Miss Cover
-----------------------------------------------
app/__init__.py 1 0 100%
app/api/__init__.py 0 0 100%
app/api/auth.py 22 0 100%
app/api/chat.py 131 0 100%
app/api/chats.py 110 0 100%
app/api/config.py 7 0 100%
app/api/doc_drafts.py 93 0 100%
app/api/docs.py 50 0 100%
app/api/git_sources.py 181 0 100%
app/api/health.py 10 0 100%
app/api/steering.py 42 0 100%
app/api/suggestions.py 8 0 100%
app/api/sync.py 101 0 100%
app/config.py 112 0 100%
app/core/__init__.py 0 0 100%
app/core/auth.py 20 0 100%
app/core/caching.py 108 0 100%
app/core/debugging.py 29 2 93%
app/core/docs_push.py 39 0 100%
app/core/logging.py 13 0 100%
app/db.py 21 0 100%
app/main.py 52 0 100%
app/models.py 86 0 100%
app/rag/__init__.py 0 0 100%
app/rag/agent.py 78 0 100%
app/rag/archive_upload.py 128 0 100%
app/rag/chunker.py 206 4 98%
app/rag/git_sources.py 14 0 100%
app/rag/importer.py 180 3 98%
app/rag/llm.py 189 0 100%
app/rag/overview.py 71 0 100%
app/rag/prompts.py 65 0 100%
app/rag/retriever.py 94 3 97%
app/rag/sources_meta.py 16 0 100%
app/rag/suggestions.py 27 0 100%
app/rag/summarizer.py 24 0 100%
app/schemas.py 201 0 100%
-----------------------------------------------
TOTAL 2529 12 99%
coverage gate: app/ 99% (>90%) OK
All checks passed!
0 errors, 0 warnings, 0 informations
validation OK
.agent/reports/66_history_auto_save_copy/66_history_auto_save_copy__02_tests_and_commit.a1.md
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Task 02 complete — all gates green, committed.
**Implemented**
- `tests/unit/test_history_copy.py` (NEW, house pattern): negative pins (3 retired "press Save" strings GONE), positive pins (3 locked A3 strings, each exactly once), state-language survivors present (h1, gate title/sub).
- `tests/e2e/test_history_copy.py` (NEW): admin-logged-in empty History tab — gate hidden, `#history-empty-row` revealed with the locked text, `.page-sub` + meta description equal to locked A3 copy, body text matches neither `/press(ed)?\s+save/i` nor `/save\s+button/i` with `<h1>Saved chats` pinned, `#save-chat-btn` absent; `_reset_db` TRUNCATE extended with `saved_chats`.
- Fixed one pyright error in the new E2E (`text_content()` is `str | None`).
**Verification (all green)**
- `uv run pytest tests/e2e/test_history_copy.py -v --no-cov` → 1 passed (isolation, DB up)
- `uv run pytest tests/e2e/test_chat_history.py -v --no-cov` → 5 passed · `test_stale_saved_chats.py` → 3 passed (both isolation)
- `uv run pytest --cov=app --cov-report=term-missing` → 1254 passed, TOTAL 99% (>90%)
- `uv run ruff check . && uv run pyright` → clean
**Commit:** `f04ddbe` on `main`, `fix(web): history tab copy — …`, staged `.agent/ frontend/ tests/` only, `--no-gpg-sign`; tree clean.
**Deviations:** none. Next pending: `67_llm_retry/01_config_and_retry_primitive.md`.
.agent/reports/66_history_auto_save_copy/66_history_auto_save_copy__02_tests_and_commit.a1.validate
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=============================== warnings summary ===============================
.venv/lib/python3.13/site-packages/fastapi/testclient.py:1
/var/home/ducoterra/Projects/Personal/brain_of_reese/.venv/lib/python3.13/site-packages/fastapi/testclient.py:1: StarletteDeprecationWarning: Using `httpx` with `starlette.testclient` is deprecated; install `httpx2` instead.
from starlette.testclient import TestClient as TestClient # noqa
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
================================ tests coverage ================================
_______________ coverage: platform linux, python 3.13.13-final-0 _______________
Name Stmts Miss Cover
-----------------------------------------------
app/__init__.py 1 0 100%
app/api/__init__.py 0 0 100%
app/api/auth.py 22 0 100%
app/api/chat.py 131 0 100%
app/api/chats.py 110 0 100%
app/api/config.py 7 0 100%
app/api/doc_drafts.py 93 0 100%
app/api/docs.py 50 0 100%
app/api/git_sources.py 181 0 100%
app/api/health.py 10 0 100%
app/api/steering.py 42 0 100%
app/api/suggestions.py 8 0 100%
app/api/sync.py 101 0 100%
app/config.py 112 0 100%
app/core/__init__.py 0 0 100%
app/core/auth.py 20 0 100%
app/core/caching.py 108 0 100%
app/core/debugging.py 29 2 93%
app/core/docs_push.py 39 0 100%
app/core/logging.py 13 0 100%
app/db.py 21 0 100%
app/main.py 52 0 100%
app/models.py 86 0 100%
app/rag/__init__.py 0 0 100%
app/rag/agent.py 78 0 100%
app/rag/archive_upload.py 128 0 100%
app/rag/chunker.py 206 4 98%
app/rag/git_sources.py 14 0 100%
app/rag/importer.py 180 3 98%
app/rag/llm.py 189 0 100%
app/rag/overview.py 71 0 100%
app/rag/prompts.py 65 0 100%
app/rag/retriever.py 94 3 97%
app/rag/sources_meta.py 16 0 100%
app/rag/suggestions.py 27 0 100%
app/rag/summarizer.py 24 0 100%
app/schemas.py 201 0 100%
-----------------------------------------------
TOTAL 2529 12 99%
coverage gate: app/ 99% (>90%) OK
All checks passed!
0 errors, 0 warnings, 0 informations
validation OK
.agent/reports/67_llm_retry/67_llm_retry__00_phase.a1.err
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.agent/reports/67_llm_retry/67_llm_retry__01_config_and_retry_primitive.a1.err
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.agent/reports/67_llm_retry/67_llm_retry__01_config_and_retry_primitive.a1.md
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**Task 01 complete — retry settings + `chat_stream_retried` primitive**
Implemented:
- `app/config.py`: `llm_retries: int = 3` / `llm_retry_delay: float = 5.0` in the LLM block + fail-loud `>= 0` startup validators (house `agent_max_rounds` pattern)
- `.env.example`: both `BOR_LLM_*` commented defaults next to `BOR_LLM_CHAT_MODEL`
- `app/rag/llm.py`: frozen `RetryPiece(attempt, max_attempts)` + `chat_stream_retried()` — retries only before the first piece (A2), `RetryPiece` always precedes its sleep, byte-identical restart, per-attempt `finally: await stream.aclose()` (phase-48 teardown), `retries=0` = single attempt
- 9 new unit tests in `test_llm_client.py` (incl. A2 pin, exhaustion, `retries=0`, `delay=0`, abandon mid-attempt and mid-sleep) + 4 in `test_config.py`
Results:
- `uv run pytest tests/unit/test_llm_client.py tests/unit/test_config.py -v` → 92 passed
- `uv run pytest --cov=app` → 1266 passed, TOTAL **99%** (>90%); config.py & llm.py 100%
- `uv run ruff check .` → clean; `uv run pyright` → 0 errors
- Diff is purely additive — plain `chat_stream` untouched
Notable: task text's "attempt that is about to be tried" conflicts with its own test pins (`RetryPiece(1, N)` after failure 1); I followed the pins (attempt = failed attempt = retry in flight), documented in the dataclass, consistent with task 02's `ChatRetryEvent(attempt=piece.attempt)`.
Next pending task: `.agent/phases/todo/67_llm_retry/02_chat_endpoint_retry.md`
.agent/reports/67_llm_retry/67_llm_retry__01_config_and_retry_primitive.a1.validate
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=============================== warnings summary ===============================
.venv/lib/python3.13/site-packages/fastapi/testclient.py:1
/var/home/ducoterra/Projects/Personal/brain_of_reese/.venv/lib/python3.13/site-packages/fastapi/testclient.py:1: StarletteDeprecationWarning: Using `httpx` with `starlette.testclient` is deprecated; install `httpx2` instead.
from starlette.testclient import TestClient as TestClient # noqa
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
================================ tests coverage ================================
_______________ coverage: platform linux, python 3.13.13-final-0 _______________
Name Stmts Miss Cover
-----------------------------------------------
app/__init__.py 1 0 100%
app/api/__init__.py 0 0 100%
app/api/auth.py 22 0 100%
app/api/chat.py 131 0 100%
app/api/chats.py 110 0 100%
app/api/config.py 7 0 100%
app/api/doc_drafts.py 93 0 100%
app/api/docs.py 50 0 100%
app/api/git_sources.py 181 0 100%
app/api/health.py 10 0 100%
app/api/steering.py 42 0 100%
app/api/suggestions.py 8 0 100%
app/api/sync.py 101 0 100%
app/config.py 126 0 100%
app/core/__init__.py 0 0 100%
app/core/auth.py 20 0 100%
app/core/caching.py 108 0 100%
app/core/debugging.py 29 2 93%
app/core/docs_push.py 39 0 100%
app/core/logging.py 13 0 100%
app/db.py 21 0 100%
app/main.py 52 0 100%
app/models.py 86 0 100%
app/rag/__init__.py 0 0 100%
app/rag/agent.py 78 0 100%
app/rag/archive_upload.py 128 0 100%
app/rag/chunker.py 206 4 98%
app/rag/git_sources.py 14 0 100%
app/rag/importer.py 180 3 98%
app/rag/llm.py 213 0 100%
app/rag/overview.py 71 0 100%
app/rag/prompts.py 65 0 100%
app/rag/retriever.py 94 3 97%
app/rag/sources_meta.py 16 0 100%
app/rag/suggestions.py 27 0 100%
app/rag/summarizer.py 24 0 100%
app/schemas.py 201 0 100%
-----------------------------------------------
TOTAL 2567 12 99%
coverage gate: app/ 99% (>90%) OK
All checks passed!
0 errors, 0 warnings, 0 informations
validation OK
.agent/reports/67_llm_retry/67_llm_retry__02_chat_endpoint_retry.a1.err
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.agent/reports/67_llm_retry/67_llm_retry__02_chat_endpoint_retry.a1.md
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**Task 02 complete — all gates green.**
- `ChatRetryEvent` SSE schema (`type/attempt/max_attempts`), documented as "attempt about to be tried, 1-based" (locked A2/A4)
- `app/api/chat.py`: embedding retry loop over `llm_retries + 1` attempts (warning + `retry` frame + flat delay; existing terminal error frame unchanged), deflected stream through `chat_stream_retried(tools=None)`, `RetryPiece` branch in the shared piece loop, `retries=N` appended to the per-turn log line, docstring updated
- **Defect fix (task 01):** `RetryPiece.attempt` carried the *failed* attempt, contradicting task 01's own spec, the endpoint's embed convention (`attempt+1`), and the task-05 E2E pins ("retrying (2 of 4)…" / "(4 of 4)…"). Changed `chat_stream_retried` to yield `RetryPiece(attempt + 1, …)` + updated its 3 unit pins
- Tests: 5 new integration scenarios (embed recover, embed exhaustion, deflected-stream retry, post-token terminal, `retries=0` byte-identical) + log-line asserts; updated 2 existing embed-failure tests; wire-shape pins added to `test_sse_events.py`
- **Deviation (Work 6):** the JS branch-order pin would fail until task 04 implements the branch (house pattern: pins land with the implementation, cf. phase 43) — locked the wire contract early in `test_sse_events.py` instead; task 04 adds the JS pin per its Work 3
- `uv run pytest` → 1273 passed; `--cov=app` TOTAL 99% (chat.py/llm.py/schemas.py 100%); `ruff check .` + `pyright` clean; `.agent/validate.sh` → OK
- E2E smoke `tests/e2e/test_chat_rag.py` → 3 passed (deflected path now routes through the retry wrapper)
- Next pending task: `.agent/phases/todo/67_llm_retry/03_agent_round_retry.md`
.agent/reports/67_llm_retry/67_llm_retry__02_chat_endpoint_retry.a1.validate
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=============================== warnings summary ===============================
.venv/lib/python3.13/site-packages/fastapi/testclient.py:1
/var/home/ducoterra/Projects/Personal/brain_of_reese/.venv/lib/python3.13/site-packages/fastapi/testclient.py:1: StarletteDeprecationWarning: Using `httpx` with `starlette.testclient` is deprecated; install `httpx2` instead.
from starlette.testclient import TestClient as TestClient # noqa
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
================================ tests coverage ================================
_______________ coverage: platform linux, python 3.13.13-final-0 _______________
Name Stmts Miss Cover
-----------------------------------------------
app/__init__.py 1 0 100%
app/api/__init__.py 0 0 100%
app/api/auth.py 22 0 100%
app/api/chat.py 147 0 100%
app/api/chats.py 110 0 100%
app/api/config.py 7 0 100%
app/api/doc_drafts.py 93 0 100%
app/api/docs.py 50 0 100%
app/api/git_sources.py 181 0 100%
app/api/health.py 10 0 100%
app/api/steering.py 42 0 100%
app/api/suggestions.py 8 0 100%
app/api/sync.py 101 0 100%
app/config.py 126 0 100%
app/core/__init__.py 0 0 100%
app/core/auth.py 20 0 100%
app/core/caching.py 108 0 100%
app/core/debugging.py 29 2 93%
app/core/docs_push.py 39 0 100%
app/core/logging.py 13 0 100%
app/db.py 21 0 100%
app/main.py 52 0 100%
app/models.py 86 0 100%
app/rag/__init__.py 0 0 100%
app/rag/agent.py 78 0 100%
app/rag/archive_upload.py 128 0 100%
app/rag/chunker.py 206 4 98%
app/rag/git_sources.py 14 0 100%
app/rag/importer.py 180 3 98%
app/rag/llm.py 213 0 100%
app/rag/overview.py 71 0 100%
app/rag/prompts.py 65 0 100%
app/rag/retriever.py 94 3 97%
app/rag/sources_meta.py 16 0 100%
app/rag/suggestions.py 27 0 100%
app/rag/summarizer.py 24 0 100%
app/schemas.py 205 0 100%
-----------------------------------------------
TOTAL 2587 12 99%
coverage gate: app/ 99% (>90%) OK
All checks passed!
0 errors, 0 warnings, 0 informations
validation OK
.agent/reports/67_llm_retry/67_llm_retry__03_agent_round_retry.a1.err
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.agent/reports/67_llm_retry/67_llm_retry__03_agent_round_retry.a1.md
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Task 03 is complete and fully green.
## Report
**Implemented**
- `app/rag/agent.py` — `run_agent` now routes every model request (each tool round **and** the forced final `tools=None` call) through `chat_stream_retried(llm, …, retries=settings.llm_retries, delay=settings.llm_retry_delay)`; phase-48 bind + `try/finally: await stream.aclose()` kept around the new generator (its own `finally` closes the in-flight inner `chat_stream` on consumer abandon); return type widened to include `RetryPiece`; module docstring (new loop-contract point 7) and `run_agent` docstring updated per the task.
- `tests/unit/test_agent.py` — new `FailingLLM` scripted fake (`(pieces, error)` attempts, records requests + stream teardown) and 6 pins: round retried before first piece (`RetryPiece` before tool call, byte-identical restart, one `tool_calls` log line, flat delay awaited); mid-stream drop terminal (A2 — `LLMError` out, holder untouched, no retry/sleep); forced final no-tools call retried (`tools=None` on both attempts); `llm_retries=0` = one plain attempt; consumer abandon mid-retry-sleep leaks nothing (inner stream closed, retry never starts); retries invisible to the round cap (`round=1/2`, `round=2/2`, cap warning).
**Tests / lint / coverage**
- `uv run pytest tests/unit/test_agent.py -v` → **28 passed** (22 existing pins untouched + 6 new)
- `uv run pytest --cov=app --cov-report=term-missing` → **1279 passed**, TOTAL **99%** (>90%)
- `uv run ruff check .` → clean; `uv run pyright` → **0 errors**
- `uv run pytest tests/e2e/test_agent_document_tools.py -v --no-cov` → **4 passed** (grounded-path E2E regression)
**Notes**
- Initial full-suite run had 2 failures in `test_import_docs_git.py` — purely environmental (Postgres down); fixed with `podman compose up -d db`, no code involved.
- No deviations; commit deferred to task 05 per phase plan.
**Next pending task:** `.agent/phases/todo/67_llm_retry/04_frontend_retry_status.md`
.agent/reports/67_llm_retry/67_llm_retry__03_agent_round_retry.a1.validate
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=============================== warnings summary ===============================
.venv/lib/python3.13/site-packages/fastapi/testclient.py:1
/var/home/ducoterra/Projects/Personal/brain_of_reese/.venv/lib/python3.13/site-packages/fastapi/testclient.py:1: StarletteDeprecationWarning: Using `httpx` with `starlette.testclient` is deprecated; install `httpx2` instead.
from starlette.testclient import TestClient as TestClient # noqa
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
================================ tests coverage ================================
_______________ coverage: platform linux, python 3.13.13-final-0 _______________
Name Stmts Miss Cover
-----------------------------------------------
app/__init__.py 1 0 100%
app/api/__init__.py 0 0 100%
app/api/auth.py 22 0 100%
app/api/chat.py 147 0 100%
app/api/chats.py 110 0 100%
app/api/config.py 7 0 100%
app/api/doc_drafts.py 93 0 100%
app/api/docs.py 50 0 100%
app/api/git_sources.py 181 0 100%
app/api/health.py 10 0 100%
app/api/steering.py 42 0 100%
app/api/suggestions.py 8 0 100%
app/api/sync.py 101 0 100%
app/config.py 126 0 100%
app/core/__init__.py 0 0 100%
app/core/auth.py 20 0 100%
app/core/caching.py 108 0 100%
app/core/debugging.py 29 2 93%
app/core/docs_push.py 39 0 100%
app/core/logging.py 13 0 100%
app/db.py 21 0 100%
app/main.py 52 0 100%
app/models.py 86 0 100%
app/rag/__init__.py 0 0 100%
app/rag/agent.py 78 0 100%
app/rag/archive_upload.py 128 0 100%
app/rag/chunker.py 206 4 98%
app/rag/git_sources.py 14 0 100%
app/rag/importer.py 180 3 98%
app/rag/llm.py 213 0 100%
app/rag/overview.py 71 0 100%
app/rag/prompts.py 65 0 100%
app/rag/retriever.py 94 3 97%
app/rag/sources_meta.py 16 0 100%
app/rag/suggestions.py 27 0 100%
app/rag/summarizer.py 24 0 100%
app/schemas.py 205 0 100%
-----------------------------------------------
TOTAL 2587 12 99%
coverage gate: app/ 99% (>90%) OK
All checks passed!
0 errors, 0 warnings, 0 informations
validation OK
.agent/reports/67_llm_retry/67_llm_retry__04_frontend_retry_status.a1.err
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.agent/reports/67_llm_retry/67_llm_retry__04_frontend_retry_status.a1.md
+19
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@@ -0,0 +1,19 @@
All green. Task 04 is complete.
## Report
**Implemented**
- `frontend/assets/app.js` — new first-class `retry` branch in `runTurn`'s `readSSE` handler, between the `tool` and `delta` branches: `clearTurnTimeout()` + locked A4 copy `Communication interrupted — retrying (n of N)…` on the existing `#send-status` live region + typing-indicator `aria-label`; gate covers both `thinking` and `streaming`; no new DOM/bubble/banner/state change (purely additive).
- `frontend/assets/app.js` header doc — `retry` frame added to the SSE-event inventory (house convention, quotes the A4 copy).
- `tests/unit/test_frontend_feedback.py` — two new pins (task 02's contract, which task 02 left unimplemented): branch-order (`tool` < `retry` < `delta`), `clearTurnTimeout()`, exact copy literal, no `addMessage`/`appendToolLine`/`showErrorBanner`/`setUiState` in the branch, header inventory. Negative-checked: pin fails with the branch removed.
**Tests / lint / coverage**
- `uv run pytest --cov=app` → exit 0, all unit + integration green
- Coverage TOTAL **99%** (app/), gate >90% holds (no `app/` change this task)
- `uv run ruff check . && uv run pyright` → all checks passed / 0 errors
- `node --check frontend/assets/app.js` → syntax OK (JS behavior is E2E-gated in task 05)
**Decisions**
- Pin landed in `test_frontend_feedback.py` (the file task 02's work-6 named first); no behavior change to existing frame types.
**Next pending task:** `67_llm_retry/05_e2e_and_commit.md` (mock-LLM failure injection, `tests/e2e/test_llm_retry.py`, regressions, commit).
.agent/reports/67_llm_retry/67_llm_retry__04_frontend_retry_status.a1.validate
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@@ -0,0 +1,72 @@
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=============================== warnings summary ===============================
.venv/lib/python3.13/site-packages/fastapi/testclient.py:1
/var/home/ducoterra/Projects/Personal/brain_of_reese/.venv/lib/python3.13/site-packages/fastapi/testclient.py:1: StarletteDeprecationWarning: Using `httpx` with `starlette.testclient` is deprecated; install `httpx2` instead.
from starlette.testclient import TestClient as TestClient # noqa
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
================================ tests coverage ================================
_______________ coverage: platform linux, python 3.13.13-final-0 _______________
Name Stmts Miss Cover
-----------------------------------------------
app/__init__.py 1 0 100%
app/api/__init__.py 0 0 100%
app/api/auth.py 22 0 100%
app/api/chat.py 147 0 100%
app/api/chats.py 110 0 100%
app/api/config.py 7 0 100%
app/api/doc_drafts.py 93 0 100%
app/api/docs.py 50 0 100%
app/api/git_sources.py 181 0 100%
app/api/health.py 10 0 100%
app/api/steering.py 42 0 100%
app/api/suggestions.py 8 0 100%
app/api/sync.py 101 0 100%
app/config.py 126 0 100%
app/core/__init__.py 0 0 100%
app/core/auth.py 20 0 100%
app/core/caching.py 108 0 100%
app/core/debugging.py 29 2 93%
app/core/docs_push.py 39 0 100%
app/core/logging.py 13 0 100%
app/db.py 21 0 100%
app/main.py 52 0 100%
app/models.py 86 0 100%
app/rag/__init__.py 0 0 100%
app/rag/agent.py 78 0 100%
app/rag/archive_upload.py 128 0 100%
app/rag/chunker.py 206 4 98%
app/rag/git_sources.py 14 0 100%
app/rag/importer.py 180 3 98%
app/rag/llm.py 213 0 100%
app/rag/overview.py 71 0 100%
app/rag/prompts.py 65 0 100%
app/rag/retriever.py 94 3 97%
app/rag/sources_meta.py 16 0 100%
app/rag/suggestions.py 27 0 100%
app/rag/summarizer.py 24 0 100%
app/schemas.py 205 0 100%
-----------------------------------------------
TOTAL 2587 12 99%
coverage gate: app/ 99% (>90%) OK
All checks passed!
0 errors, 0 warnings, 0 informations
validation OK
.agent/reports/67_llm_retry/67_llm_retry__05_e2e_and_commit.a1.err
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.agent/reports/67_llm_retry/67_llm_retry__05_e2e_and_commit.a1.md
+11
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@@ -0,0 +1,11 @@
All green and committed. Final report:
**Phase 67 task 05 — complete** (`46c0718`)
- `tests/e2e/mock_llm.py`: deterministic failure injection — `fail then answer` (2 dead app-level attempts → answer), `always fail` (all 500s), `embed fail once` (first embeddings POST 500s); module counters reset per trigger phrase, documented in the marker list
- `tests/e2e/conftest.py`: `BOR_LLM_RETRY_DELAY=0` on the e2e server + `BOR_LLM_RETRIES` forced to the real default (3, phase-61 leak-guard pattern)
- `tests/e2e/test_llm_retry.py`: 4 tests — dead-then-recovered deflected (statuses "(2 of 4)…"/"(3 of 4)…", retry frames before first delta, deflected settle, no banner), dead-then-recovered grounded (agent round retried, sources intact), embedding retry visible to UI, exhaustion (last retrying status "(4 of 4)…", `role=alert` banner with existing copy, send re-enabled, no bubble)
- Notable: the mock counts failures in **app-level attempts, not POSTs** — the openai SDK's default (max_retries=2) re-POSTs a dead stream twice, so a literal "first 2 POSTs fail" would be absorbed internally and no app retry would ever occur; deflected test seeds one fixture doc (`kubernetes.md`) because the marker's `fail`/`answer` tokens FTS-hit the 13-doc corpus and would flip the gate to HIGH (verified via `plan_turn`)
- Results: `uv run pytest tests/e2e/test_llm_retry.py -v --no-cov` → 4 passed (16.8s); regressions in isolation → chat_rag 3, agent_document_tools 4, stop_generation 3, retry_answer 4 — all passed; `uv run pytest --cov=app --cov-report=term-missing` → 1281 passed, TOTAL **99%**; `uv run ruff check .` clean; `uv run pyright` 0 errors
- One `--no-gpg-sign` commit (code + tasks 01–04 dir moves + phase-66 leftover move, phase-66 pattern); the 05 task file stays in `todo/` for the harness to move
- Next pending: `.agent/phases/todo/68_search_tool/`
.agent/reports/67_llm_retry/67_llm_retry__05_e2e_and_commit.a1.validate
+72
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=============================== warnings summary ===============================
.venv/lib/python3.13/site-packages/fastapi/testclient.py:1
/var/home/ducoterra/Projects/Personal/brain_of_reese/.venv/lib/python3.13/site-packages/fastapi/testclient.py:1: StarletteDeprecationWarning: Using `httpx` with `starlette.testclient` is deprecated; install `httpx2` instead.
from starlette.testclient import TestClient as TestClient # noqa
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
================================ tests coverage ================================
_______________ coverage: platform linux, python 3.13.13-final-0 _______________
Name Stmts Miss Cover
-----------------------------------------------
app/__init__.py 1 0 100%
app/api/__init__.py 0 0 100%
app/api/auth.py 22 0 100%
app/api/chat.py 147 0 100%
app/api/chats.py 110 0 100%
app/api/config.py 7 0 100%
app/api/doc_drafts.py 93 0 100%
app/api/docs.py 50 0 100%
app/api/git_sources.py 181 0 100%
app/api/health.py 10 0 100%
app/api/steering.py 42 0 100%
app/api/suggestions.py 8 0 100%
app/api/sync.py 101 0 100%
app/config.py 126 0 100%
app/core/__init__.py 0 0 100%
app/core/auth.py 20 0 100%
app/core/caching.py 108 0 100%
app/core/debugging.py 29 2 93%
app/core/docs_push.py 39 0 100%
app/core/logging.py 13 0 100%
app/db.py 21 0 100%
app/main.py 52 0 100%
app/models.py 86 0 100%
app/rag/__init__.py 0 0 100%
app/rag/agent.py 78 0 100%
app/rag/archive_upload.py 128 0 100%
app/rag/chunker.py 206 4 98%
app/rag/git_sources.py 14 0 100%
app/rag/importer.py 180 3 98%
app/rag/llm.py 213 0 100%
app/rag/overview.py 71 0 100%
app/rag/prompts.py 65 0 100%
app/rag/retriever.py 94 3 97%
app/rag/sources_meta.py 16 0 100%
app/rag/suggestions.py 27 0 100%
app/rag/summarizer.py 24 0 100%
app/schemas.py 205 0 100%
-----------------------------------------------
TOTAL 2587 12 99%
coverage gate: app/ 99% (>90%) OK
All checks passed!
0 errors, 0 warnings, 0 informations
validation OK
.env.example
+2
View File
@@ -18,6 +18,8 @@ BOR_DATABASE_URL=postgresql+psycopg://reese:reese@localhost:5432/brain_of_reese
BOR_LLM_BASE_URL=https://aipi.reeseapps.com/v1
BOR_LLM_API_KEY= # falls back to $AIPI_KEY, then "not-needed"
BOR_LLM_CHAT_MODEL=turbo
# BOR_LLM_RETRIES=3 # retry a dead LLM request before the first token lands (phase 67); 0 = off
# BOR_LLM_RETRY_DELAY=5 # seconds between LLM retries (phase 67)
BOR_LLM_EMBED_MODEL=embed
BOR_LLM_SUMMARY_MODEL=lite # one-shot completions: document summaries (phase 30), KB overview (phase 31)
BOR_EMBEDDING_DIM=768 # verified 2026-08 via scripts/llm_probe.py
app/api/chat.py
+84 -5
View File
@@ -68,9 +68,27 @@ byte-identical to the pre-phase path (A8):** the LOW prompt never
carries tools, and with ``agent_max_rounds`` at **0** ``run_agent``
makes exactly one ``tools=None`` request, reproducing the pre-phase
behavior (the kill switch).
LLM retries (phase 67, ``BOR_LLM_RETRIES`` / ``BOR_LLM_RETRY_DELAY``,
owner-locked 2026-09-01): when the aipi endpoint dies before a request
has streamed its first output frame (locked A2), the request is
restarted — up to ``llm_retries`` times (default 3), a flat
``llm_retry_delay`` (default 5 s) between attempts. Every restart is
announced with an SSE ``retry`` frame (``{"type": "retry",
"attempt": n, "max_attempts": N}`` — the attempt about to be tried,
1-based, ahead of the pre-retry wait) so the UI can show the transient
"Communication interrupted — retrying (n of N)…" status (locked A4);
exhaustion and any failure after the first frame keep the existing
terminal ``error`` frames. The pre-stream question embedding retries on
the same budget, and the deflected answer stream goes through
``chat_stream_retried`` (the agent loop retries per round — task 03).
The per-turn log line records ``retries=N`` after ``total_ms=N`` (0
when nothing was retried — the field is uniform across all turn
shapes).
"""
from __future__ import annotations
import asyncio
import json
import logging
import time
@@ -91,8 +109,10 @@ from app.rag.llm import (
EmbeddingError,
LLMClient,
LLMError,
RetryPiece, # phase 67: one LLM request restart (an SSE retry frame)
StreamPiece, # type of the answer pieces streamed by the agent loop
ToolCallPiece, # phase 37: one model-requested tool call
chat_stream_retried, # phase 67: the retry-before-first-piece primitive
)
from app.rag.overview import load_kb_overview
from app.rag.prompts import build_deflect_prompt, build_high_prompt
@@ -102,6 +122,7 @@ from app.schemas import (
ChatDoneEvent,
ChatErrorEvent,
ChatRequest,
ChatRetryEvent,
ChatThinkingEvent,
ChatToolEvent,
SourceRef,
@@ -246,13 +267,29 @@ async def chat(
# consumer went away before any terminal frame; it must not
# yield (GeneratorExit handling).
settled = False
retries_used = 0 # phase 67: LLM requests restarted this turn (log line)
try:
settings = get_settings()
# 1. Embed the question.
# Phase 67: a dead embeddings endpoint is retried before any
# frame has left the server — up to ``llm_retries`` restarts,
# a flat ``llm_retry_delay`` between attempts, one SSE
# ``retry`` frame per restart (the UI shows the transient
# "retrying" status, not an error — locked A4). The final
# failure keeps the EXISTING terminal ``error`` frame (the
# copy reads correctly after N tries); ``llm_retries=0`` is
# byte-identical to the pre-phase-67 single attempt.
t0 = time.monotonic()
max_attempts = settings.llm_retries + 1
attempt = 1
while True:
try:
question_vec = await llm.embed_one(request.message)
break
except EmbeddingError as e:
embed_ms = int((time.monotonic() - t0) * 1000)
if attempt >= max_attempts:
total_ms = int((time.monotonic() - started) * 1000)
logger.error(
"chat: question=%r embed_ms=%d total_ms=%d — embedding failed: %s",
@@ -268,12 +305,28 @@ async def chat(
).model_dump()
)
return
logger.warning(
"chat: question=%r embedding failed (attempt %d/%d) — "
"retrying in %.1fs: %s",
request.message,
attempt,
max_attempts,
settings.llm_retry_delay,
e,
)
retries_used += 1
yield sse_event(
ChatRetryEvent(
attempt=attempt + 1, max_attempts=max_attempts
).model_dump()
)
await asyncio.sleep(settings.llm_retry_delay)
attempt += 1
embed_ms = int((time.monotonic() - t0) * 1000)
# 2. Retrieve top-K chunks, load the owner's steering notes
# (phase 15), then the honesty gate (A8) picks the HIGH
# (grounded) or LOW (deflected) prompt + context.
settings = get_settings()
try:
steering_notes = load_steering_notes(db)
# KB overview (phase 31): one indexed PK lookup per turn —
@@ -313,9 +366,21 @@ async def chat(
# ``agent_max_rounds=0`` ``run_agent`` is a single
# ``tools=None`` request anyway (the kill switch).
holder = AgentHolder()
answer_stream: AsyncIterator[StreamPiece | ToolCallPiece]
answer_stream: AsyncIterator[StreamPiece | ToolCallPiece | RetryPiece]
if plan.deflected:
answer_stream = llm.chat_stream(messages)
# Phase 67: the deflected stream goes through the retry
# primitive — a dead endpoint is restarted (SSE ``retry``
# frames) only before its first piece (locked A2); the
# grounded path stays a plain ``run_agent`` call (task 03
# makes IT retry internally) — its ``RetryPiece``s flow
# through the shared piece loop below.
answer_stream = chat_stream_retried(
llm,
messages,
tools=None,
retries=settings.llm_retries,
delay=settings.llm_retry_delay,
)
else:
answer_stream = run_agent(
llm,
@@ -328,7 +393,7 @@ async def chat(
)
thinking_chars = 0
try:
async for piece in answer_stream: # StreamPiece | ToolCallPiece
async for piece in answer_stream: # StreamPiece | ToolCallPiece | RetryPiece
if isinstance(piece, ToolCallPiece):
# Phase 37 (PLAN §4 extension): one SSE ``tool``
# frame per model-requested call; ``argument`` is
@@ -345,6 +410,19 @@ async def chat(
).model_dump()
)
continue
if isinstance(piece, RetryPiece):
# Phase 67: the answer stream was restarted before
# its first piece (locked A2) — a transient status
# frame, never an error. No other state changes:
# the thinking/clock/timeout handling is the
# client's job.
retries_used += 1
yield sse_event(
ChatRetryEvent(
attempt=piece.attempt, max_attempts=piece.max_attempts
).model_dump()
)
continue
if piece.kind == "thinking":
thinking_chars += len(piece.text)
if settings.stream_thinking:
@@ -419,7 +497,7 @@ async def chat(
logger.info(
"question=%r embed_ms=%d top_score=%.3f fts_hits=%d summary_hits=%d tuning=%d "
"kb_chars=%d threshold=%.2f deflected=%s sources=%r thinking_chars=%d "
"tool_calls=%d total_ms=%d",
"tool_calls=%d total_ms=%d retries=%d",
request.message,
embed_ms,
plan.top_score,
@@ -433,6 +511,7 @@ async def chat(
thinking_chars,
holder.tool_calls,
total_ms,
retries_used,
)
settled = True # terminal: the done frame settles the turn
yield sse_event(
app/config.py
+25
View File
@@ -73,6 +73,13 @@ class Settings(BaseSettings):
#: pieces are still counted for the per-turn log line but never
#: emitted — the answer stream itself is unchanged.
stream_thinking: bool = True
#: Retries of a failed LLM request when the endpoint stops responding
#: (phase 67, ``BOR_LLM_RETRIES``); ``0`` = no retries (the turn fails
#: on the first error, pre-phase-67 behavior).
llm_retries: int = 3
#: Flat seconds to wait between attempts (phase 67,
#: ``BOR_LLM_RETRY_DELAY``); the TODO-locked 5 s, no backoff.
llm_retry_delay: float = 5.0
# --- RAG tuning ---
embedding_dim: int = 768 # verified against aipi /v1 (embed model)
@@ -261,6 +268,24 @@ class Settings(BaseSettings):
raise ValueError("agent_max_rounds must be >= 0 (0 = no tools)")
return v
@field_validator("llm_retries")
@classmethod
def _llm_retries_non_negative(cls, v: int) -> int:
"""``0`` is the no-retry kill switch (pre-phase-67 behavior) — a
negative value is a typo (the ``agent_max_rounds`` pattern)."""
if v < 0:
raise ValueError("llm_retries must be >= 0 (0 = no retries)")
return v
@field_validator("llm_retry_delay")
@classmethod
def _llm_retry_delay_non_negative(cls, v: float) -> float:
"""A negative delay is a typo — fail loud at startup (the
``agent_max_rounds`` pattern)."""
if v < 0:
raise ValueError("llm_retry_delay must be >= 0 (seconds)")
return v
@field_validator("upload_max_mb")
@classmethod
def _upload_max_mb_positive(cls, v: int) -> int:
app/rag/agent.py
+60 -16
View File
@@ -43,16 +43,27 @@ task 04):
the assistant tool-call message + the tool result (refusals included),
consumes one round, and the model is called again. At the round cap —
``max_rounds = settings.agent_max_rounds`` (``BOR_AGENT_MAX_ROUNDS``,
default 10) — the loop forces one final ``chat_stream(messages,
tools=None)`` and returns: the cap is the **only** forced exit
(besides "the stream carried no calls"), and it bounds pathological
rejected-call streams.
default 10) — the loop forces one final retried no-tools request
(``chat_stream_retried`` with ``tools=None``) and returns: the cap is
the **only** forced exit (besides "the stream carried no calls"), and
it bounds pathological rejected-call streams.
5. A rare stream that carries both content and a tool call keeps the
content (it was already emitted) **and** still runs the tool.
6. *holder* (an :class:`AgentHolder`) records the read documents and the
number of executed tool calls (re-lists included); the API layer
(task 04) reads it after the stream to extend ``done.sources`` /
``query_log.sources`` and the per-turn log line (``tool_calls=N``).
7. Retries (phase 67, owner-locked A2): every model request — each tool
round and the forced final ``tools=None`` call — goes through
``chat_stream_retried``: a round that dies before its first piece is
restarted with the SAME messages (up to ``settings.llm_retries``
restarts, a flat ``settings.llm_retry_delay`` between attempts, each
preceded by a :class:`app.rag.llm.RetryPiece` the API layer turns into
an SSE ``retry`` frame); a round that already streamed a piece fails
the turn as before (no partial answer is ever redone). Retries are
invisible to the round cap: a round that needed a retry still consumes
exactly one round. With ``settings.llm_retries=0`` every request is a
single plain attempt (the pre-phase-67 path).
The DB accessors (:func:`list_catalog`, :func:`find_document`) are
module-level functions so unit tests can monkeypatch them without a
@@ -71,7 +82,13 @@ from sqlalchemy.orm import Session
from app.config import Settings
from app.models import Document
from app.rag.llm import LLMClient, StreamPiece, ToolCallPiece
from app.rag.llm import (
LLMClient,
RetryPiece,
StreamPiece,
ToolCallPiece,
chat_stream_retried,
)
logger = logging.getLogger("app.agent")
@@ -224,13 +241,20 @@ async def run_agent(
seed_docs: Sequence[Document],
settings: Settings,
holder: AgentHolder,
) -> AsyncIterator[StreamPiece | ToolCallPiece]:
) -> AsyncIterator[StreamPiece | ToolCallPiece | RetryPiece]:
"""Run the grounded-turn tool loop, yielding every stream piece.
Every piece (``thinking`` / ``content`` / tool calls) is yielded as it
arrives; the API layer (task 04) turns tool-call pieces into SSE
``tool`` events. After the loop finishes, *holder* carries the read
documents and the executed tool-call count (re-lists included).
Every piece (``thinking`` / ``content`` / tool calls /
:class:`RetryPiece`) is yielded as it arrives; the API layer (task 04)
turns tool-call pieces into SSE ``tool`` events and retry pieces into
SSE ``retry`` events. After the loop finishes, *holder* carries the
read documents and the executed tool-call count (re-lists included).
Retries (phase 67, owner-locked A2): every model request goes through
:func:`chat_stream_retried` — a failed round is retried **before** its
first piece (same messages, ``settings.llm_retries`` restarts, a flat
``settings.llm_retry_delay``); a round that already streamed pieces
fails the turn as before.
``seed_docs`` are the documents the retrieval already put in context
(they shape the *system_prompt* the caller built); re-reading one of
@@ -252,10 +276,22 @@ async def run_agent(
calls: list[ToolCallPiece] = []
# Phase 48: bind the round's stream so a consumer abandon
# (GeneratorExit into the yield below) tears down the in-flight
# model stream deterministically — not GC-dependent. Awaiting
# ``aclose()`` in the ``finally`` is safe because it does not
# yield; on a fully consumed round it is a quiet no-op.
stream = llm.chat_stream(cast("list[dict[str, str]]", messages), tools=tools)
# model stream deterministically — not GC-dependent. Phase 67:
# the round goes through the retry primitive — a failure before
# the first piece restarts the request (locked A2) after a
# RetryPiece; closing the OUTER generator propagates GeneratorExit
# into ``chat_stream_retried``, whose own ``finally`` closes the
# in-flight inner ``chat_stream``, so teardown stays deterministic
# on consumer abandon. Awaiting ``aclose()`` in the ``finally`` is
# safe because it does not yield; on a fully consumed round it is
# a quiet no-op.
stream = chat_stream_retried(
llm,
cast("list[dict[str, str]]", messages),
tools=tools,
retries=settings.llm_retries,
delay=settings.llm_retry_delay,
)
try:
async for piece in stream:
if isinstance(piece, ToolCallPiece):
@@ -300,8 +336,16 @@ async def run_agent(
)
# Phase 48: the forced final answer gets the same explicit
# teardown as the loop rounds (consumer abandon mid-final
# answer must still close the model's stream).
final = llm.chat_stream(cast("list[dict[str, str]]", messages), tools=None)
# answer must still close the model's stream). Phase 67: the
# forced call retries under the same locked-A2 rule as the
# loop rounds.
final = chat_stream_retried(
llm,
cast("list[dict[str, str]]", messages),
tools=None,
retries=settings.llm_retries,
delay=settings.llm_retry_delay,
)
try:
async for piece in final:
yield piece
app/rag/llm.py
+94
View File
@@ -18,6 +18,7 @@ vectors that pgvector rejects.
"""
from __future__ import annotations
import asyncio
import json
import logging
from collections.abc import AsyncGenerator
@@ -82,6 +83,25 @@ class ToolCallPiece:
arguments: dict[str, Any]
@dataclass(frozen=True)
class RetryPiece:
"""One LLM request retry that is about to start (phase 67, locked A2).
``attempt`` is the 1-based number of the attempt that is about to be
tried — the one AFTER the attempt that just failed (a first-attempt
failure carries ``attempt=2``, so the API's SSE ``retry`` frame reads
"retrying (2 of N)" — the same convention the endpoint's embedding
retry loop uses, phase 67 task 02); ``max_attempts`` is the total
attempt budget (``llm_retries + 1``). One piece per wait: the API
layer turns it into an SSE ``retry`` frame, and it always precedes
the pre-retry sleep so the frame reaches the client before the wait
starts.
"""
attempt: int
max_attempts: int
@dataclass
class _ToolCallSlot:
"""Mutable accumulator for one streamed tool call (phase 37, private).
@@ -442,6 +462,80 @@ class LLMClient:
await stream.close()
async def chat_stream_retried(
llm: LLMClient,
messages: list[dict[str, str]],
*,
tools: list[dict[str, Any]] | None = None,
retries: int = 0,
delay: float = 0.0,
) -> AsyncGenerator[StreamPiece | ToolCallPiece | RetryPiece, None]:
"""Stream a chat turn, retrying a dead endpoint (phase 67).
Wraps :meth:`LLMClient.chat_stream` with the retry-before-first-piece
rule (owner-locked A2): a request is restarted **only** while no output
piece (thinking/tool/delta) has been yielded for it. Once pieces have
flowed, an :class:`LLMError` is re-raised unchanged — a partial answer
is never redone, and the API layer's terminal ``error`` frame applies.
This primitive is the ONLY place that rule lives (the chat endpoint
and the agent loop both build on it).
Up to *retries* restarts after the initial attempt (``retries + 1``
attempts total; ``retries=0`` is exactly one attempt with no
:class:`RetryPiece` — the pre-phase-67 kill-switch path). Each restart
is preceded by one :class:`RetryPiece` (``attempt`` = the 1-based
number of the attempt about to be tried — the failed attempt + 1 —
and ``max_attempts`` = ``retries + 1``) and a flat
``asyncio.sleep(delay)`` — the TODO-locked fixed interval, no
backoff. The ``RetryPiece`` always precedes its sleep: the API frame
must reach the client before the wait starts.
The request is restarted byte-identical: ``chat_stream`` is stateless,
so every attempt is opened with the SAME *messages*/*tools*.
Teardown (phase 48, extended): every attempt's stream is explicitly
closed in a ``finally`` — normal exhaustion, a terminal
:class:`LLMError`, and a consumer abandon (``GeneratorExit`` mid-attempt
or during the pre-retry sleep) all run it, so an abandoned turn never
leaves the endpoint's stream open.
"""
max_attempts = retries + 1
for attempt in range(1, max_attempts + 1):
emitted = False
stream = llm.chat_stream(messages, tools=tools)
try:
async for piece in stream:
emitted = True
yield piece
except LLMError as e:
if emitted:
# Locked A2: tokens already flowed — the failure is
# terminal, never redo a partial answer.
raise
if attempt >= max_attempts:
# Retries exhausted — the API layer turns this into the
# terminal error frame.
raise
logger.warning(
"llm stream failed before the first piece (attempt %d/%d) — "
"retrying in %.1fs: %s",
attempt,
max_attempts,
delay,
e,
)
yield RetryPiece(attempt + 1, max_attempts)
await asyncio.sleep(delay)
else:
# A fully consumed attempt — the turn is done; the loop must
# NOT open another stream for an attempt that never failed.
return
finally:
# Phase 48 teardown for THIS attempt's stream (a no-op once the
# stream already ended; the real close on a consumer abandon).
await stream.aclose()
async def check_models(llm: LLMClient) -> None:
"""Verify the models a sync needs (embed + summary) before any
expensive work; raise ModelUnavailableError naming the model.
app/schemas.py
+24
View File
@@ -108,6 +108,30 @@ class ChatErrorEvent(BaseModel):
detail: str
class ChatRetryEvent(BaseModel):
"""SSE retry event: an LLM request is restarted before the first token
(phase 67, owner-locked 2026-09-01).
Sibling of :class:`ChatErrorEvent`, but transient — the client shows a
live status on the existing ``#send-status`` line (locked A4:
"Communication interrupted — retrying (n of N)…") and the send button
stays the Stop control; it never flips the state machine to error. It
is only ever sent when the failed attempt had NOT streamed a single
output frame yet (locked A2: no thinking/tool/delta emitted) — once
tokens are flowing, a failure is terminal (the ``error`` frame) and
this event cannot appear.
``attempt`` is the 1-based number of the attempt the endpoint is about
to try next (what the endpoint sends — the first failure of a
4-attempt budget carries ``attempt=2``); ``max_attempts`` is the total
attempt budget (``llm_retries + 1``).
"""
type: Literal["retry"] = "retry"
attempt: int
max_attempts: int
class DocSummary(BaseModel):
"""One indexed document as shown on the Sources page / API."""
frontend/assets/app.js
+39
View File
@@ -75,6 +75,24 @@
* optional `tools: [{name, argument}]` array next to `thinking` and
* restore re-renders the lines (phase 14 convention).
*
* LLM retry status (phase 67, TODO.md L3): if the endpoint dies BEFORE
* the first frame of an LLM request lands, the server restarts that
* request (up to BOR_LLM_RETRIES retries, BOR_LLM_RETRY_DELAY seconds
* apart — a flat delay, no backoff, owner-locked A3) and streams one
* `retry` SSE frame per wait. The handler treats it with the same
* status pattern as the `tool` frames: the 120s guard clears (a frame
* arrived) and the EXISTING #send-status live region + the
* typing-indicator aria-label read the owner-locked copy
* "Communication interrupted — retrying (n of N)…" (n = the attempt
* about to be tried, N = the configured total). Nothing else changes —
* no bubble, no tool line, no banner, no UI-state change: it is a
* transient status that the next thinking/tool/delta frame replaces
* through its own branch. A retry arrives only before the request's
* first piece (locked A2), so it never races a partial answer; the
* status gate still covers BOTH live states (thinking AND streaming)
* because a LATER agent round may restart while an earlier round
* already emitted content (the rare content+tool-call stream).
*
* Steering notes (phase 15) let the owner tune how Brain answers: a
* "Tune" button under every completed brain bubble (deflected included)
* opens an inline form → POST /api/steering → the note is stored in
@@ -1927,6 +1945,27 @@ async function runTurn(text, { reask = false } = {}) {
}
appendToolLine(wrap, name, argument);
// No page scroll (phase 42): tool lines never yank the viewport.
} else if (ev.type === "retry") {
// Phase 67 (owner-locked A4): the server restarted the LLM
// request before ANY frame of it reached the client (locked
// A2) — say exactly what is happening on the existing status
// line. Transient status only: no bubble, no tool line, no
// banner, no UI-state change — the next thinking/tool/delta
// frame replaces it through its own branch. The gate covers
// BOTH live states: a LATER agent round may restart while the
// UI already streams (a content+tool-call stream from an
// earlier round).
clearTurnTimeout(); // the stream is alive — the server is restarting the LLM request
const attempt = Number(ev.attempt) || 1;
const max = Number(ev.max_attempts) || 1;
const retryStatus =
`Communication interrupted — retrying (${attempt} of ${max})…`;
if (uiState === UI_STATE.thinking || uiState === UI_STATE.streaming) {
sendStatus.textContent = retryStatus;
document
.querySelector("#typing-indicator .bubble")
?.setAttribute("aria-label", retryStatus);
}
} else if (ev.type === "delta") {
acc += ev.text || "";
if (uiState === UI_STATE.thinking) setUiState(UI_STATE.streaming);
tests/e2e/conftest.py
+9
View File
@@ -98,6 +98,15 @@ def app_server(mock_llm: int) -> Iterator[str]:
# The production default stays 0.62 (re-tuned against the real
# `embed` model's 0.41–0.84 cosine range, PLAN A8).
env["BOR_RELEVANCE_THRESHOLD"] = "0.30"
# Phase 67 (LLM retry): the e2e pins the retry MECHANISM with instant
# waits (BOR_LLM_RETRY_DELAY=0 — the 5 s default is unit-pinned via
# tests/unit/test_config.py). BOR_LLM_RETRIES is forced to the code
# default (derived from the class field, never drifts from
# app/config.py) so the exhaustion test relies on the REAL budget and
# an operator's local (gitignored) .env cannot leak a different one
# into the app under test (the phase-61 leak-guard pattern).
env["BOR_LLM_RETRY_DELAY"] = "0"
env["BOR_LLM_RETRIES"] = str(_Settings.model_fields["llm_retries"].default)
env.setdefault("BOR_DATABASE_URL", "postgresql+psycopg://reese:reese@localhost:5432/brain_of_reese")
# Phase 16: admin auth must be set or create_app() refuses to boot.
env["BOR_ADMIN_PASSWORD"] = ADMIN_PASSWORD
tests/e2e/mock_llm.py
+123 -2
View File
@@ -112,6 +112,36 @@ Implements just enough of the aipi surface:
answer; the E2E asks it against an on-topic fixture (HIGH gate) and
asserts non-deflection.
Failure injection (phase 67, LLM retry, TODO.md L3) — deterministic
dead-endpoint behavior for the retry E2E suite (``tests/e2e/
test_llm_retry.py``). The mock is single-conversation per e2e server, so
the sequences are driven by module-level counters that reset per
trigger phrase after the success they guard (a second question with
the same trigger re-drives the sequence from zero):
- user message containing ``fail then answer`` (``RETRY_TRIGGER``):
the first ``RETRY_DEAD_ATTEMPTS`` (2) app-level streaming attempts
respond 500 (JSON body, like a dead proxy) and the third streams
the normal composed answer — 2 = 1 original attempt + 1 retry under
the default ``BOR_LLM_RETRIES=3``, so a suite exercises a real
retry without waiting for the 4-attempt exhaustion. Counted in
APP-LEVEL attempts, not raw HTTP POSTs: while the endpoint stays
dead, the openai SDK's default policy (max_retries=2 — the app's
``LLMClient`` keeps it) re-POSTs a 500'd streaming request twice
before surfacing the error, so each dead attempt costs exactly 3
POSTs (``_HTTPS_PER_DEAD_ATTEMPT``).
- user message containing ``always fail``
(``ALWAYS_FAIL_TRIGGER``): EVERY streaming chat/completions request
responds 500 — the retry-budget exhaustion path (the terminal
error banner in the UI).
- embeddings request whose input contains ``embed fail once``
(``EMBED_FAIL_TRIGGER``): the FIRST such request responds 500, the
next returns the normal bag-of-words vector — the endpoint's
pre-stream embedding retry loop. Raw httpx on the client side (no
SDK-level retries), so one POST per attempt: the counter is per
POST here, unlike the chat counter above.
Non-streaming requests (document summaries, KB overview) never 500 —
the retry scope is the chat turn only (owner-locked A1).
``max_tokens`` is honored deterministically (token ≈ whitespace word),
like a real endpoint: an answer longer than the cap is truncated. This
is what makes the phase-11 truncation regression observable.
@@ -129,7 +159,7 @@ import uuid
from typing import Any
from fastapi import FastAPI
from fastapi.responses import StreamingResponse
from fastapi.responses import JSONResponse, StreamingResponse
app = FastAPI()
@@ -265,6 +295,76 @@ TABLE_ANSWER = (
"| value-one | value-two | value-three | value-four | value-five |"
)
# ---------------------------------------------------------------------------
# Phase 67 (LLM retry, TODO.md L3): deterministic failure injection
# ---------------------------------------------------------------------------
#: A user message containing this substring (case-insensitive) gets
#: ``RETRY_DEAD_ATTEMPTS`` dead streaming attempts (500, JSON body) before
#: the normal composed answer streams — 1 original attempt + 1 retry under
#: the default ``BOR_LLM_RETRIES=3`` (see the module docstring).
RETRY_TRIGGER = "fail then answer"
#: App-level attempts the endpoint stays dead for before the answer.
RETRY_DEAD_ATTEMPTS = 2
#: A user message containing this substring (case-insensitive) makes
#: EVERY streaming chat/completions request respond 500 — the
#: retry-budget exhaustion path (the terminal error banner in the UI).
ALWAYS_FAIL_TRIGGER = "always fail"
#: An embeddings request whose input contains this substring
#: (case-insensitive) 500s on its FIRST POST; the next returns the normal
#: bag-of-words vector — the endpoint's pre-stream embedding retry loop.
EMBED_FAIL_TRIGGER = "embed fail once"
#: One DEAD app-level chat attempt costs exactly this many HTTP POSTs
#: while the endpoint stays down: the openai SDK's default policy
#: (max_retries=2 — the app's ``LLMClient`` keeps it) re-POSTs a 500'd
#: streaming request twice before surfacing the error to
#: ``chat_stream_retried``. The failure counters below therefore count
#: app-level attempts (groups of this size), not raw POSTs — the visible
#: sequence (one SSE ``retry`` frame after each dead attempt, the answer
#: on the third) stays deterministic regardless of the SDK's internal
#: backoff pacing.
_HTTPS_PER_DEAD_ATTEMPT = 3
#: Module-level failure counters — the mock is single-conversation per
#: e2e server. Keyed by trigger phrase (reset per trigger): the number
#: of matching POSTs served so far. Each sequence resets after the
#: success it guards, so a second question carrying the same trigger
#: re-drives the failure sequence from zero.
_fail_posts: dict[str, int] = {}
def _llm_500(why: str) -> JSONResponse:
"""A dead-proxy 500 with a JSON error body (phase 67 injection)."""
return JSONResponse(
status_code=500,
content={
"error": {
"message": f"upstream connection reset ({why})",
"type": "proxy_error",
}
},
)
def _bump_fail(key: str) -> int:
n = _fail_posts.get(key, 0) + 1
_fail_posts[key] = n
return n
def _chat_dead(key: str, dead_attempts: int) -> bool:
"""Bump *key*'s counter; True while the endpoint stays dead.
Counted in app-level attempts (see ``_HTTPS_PER_DEAD_ATTEMPT``): the
first ``dead_attempts * _HTTPS_PER_DEAD_ATTEMPT`` POSTs 500 and the
next attempt's first POST streams (the caller resets the counter on
the success).
"""
return _bump_fail(key) <= dead_attempts * _HTTPS_PER_DEAD_ATTEMPT
#: The agent's ``read_document`` tool-result prefix (app.rag.agent
#: ``_execute_tool``): ``"Document <source/path>:\n<content>"``.
@@ -656,11 +756,22 @@ def models() -> dict[str, Any]:
@app.post("/v1/embeddings")
def embeddings(body: dict[str, Any]) -> dict[str, Any]:
def embeddings(body: dict[str, Any]) -> Any: # dict, or a 500 (phase 67)
raw = body.get("input")
if isinstance(raw, str):
raw = [raw]
inputs: list[Any] = list(raw) if isinstance(raw, list) else []
# Phase 67 (embedding retry): the first embeddings request whose
# input carries the marker 500s; the next returns the normal
# bag-of-words vector (see the module docstring). Raw httpx on the
# client side — no SDK-level retries — so one POST per app attempt:
# the counter is per POST here (unlike the chat counter below).
joined = " ".join(str(t) for t in inputs if isinstance(t, str)).lower()
if EMBED_FAIL_TRIGGER in joined:
n = _bump_fail(EMBED_FAIL_TRIGGER)
if n == 1:
return _llm_500(EMBED_FAIL_TRIGGER)
_fail_posts[EMBED_FAIL_TRIGGER] = 0 # the vector went out — restart
data = [
{"object": "embedding", "index": i, "embedding": embed_text(t)}
for i, t in enumerate(inputs)
@@ -827,6 +938,16 @@ def chat_completions(body: dict[str, Any]) -> Any:
# the flow handles streaming requests; a non-streaming marker request
# (never issued by the app) falls through to the regular answer.
if body.get("stream"):
# Phase 67 (LLM retry): deterministic failure injection — see
# the module docstring. Checked before the marker tool flow: the
# injection markers never combine with the tool-flow markers in
# any suite, and a dead endpoint answers nothing (no flow).
if ALWAYS_FAIL_TRIGGER in user_lower:
return _llm_500(ALWAYS_FAIL_TRIGGER)
if RETRY_TRIGGER in user_lower:
if _chat_dead(RETRY_TRIGGER, RETRY_DEAD_ATTEMPTS):
return _llm_500(RETRY_TRIGGER)
_fail_posts[RETRY_TRIGGER] = 0 # the answer streamed — restart
flow = _tool_flow(body)
if flow is not None:
if flow[0] == "list":
tests/e2e/test_llm_retry.py
+506
View File
@@ -0,0 +1,506 @@
"""Phase 67 E2E (Playwright): LLM retry with live "Trying Again" feedback.
Source: ``TODO.md`` L3 — "Add a .env configurable retry in case the LLM
server fails to respond. Allow 3 retries by default, with 5 seconds
between each retry. Update the user interface to show 'communication
interrupted, trying again' … if the LLM server stops communicating."
(TODO-derived phase — no story file.)
Run in isolation (DB must be up: ``podman compose up -d db``):
uv run pytest tests/e2e/test_llm_retry.py -v --no-cov
MOCK-ONLY suite: ``E2E_REAL_LLM=1`` is not supported — the retry gate is
the deterministic failure injection in ``tests/e2e/mock_llm.py``:
* ``fail then answer`` (``RETRY_TRIGGER``): the first 2 app-level
streaming attempts 500 (JSON body, like a dead proxy) and the third
streams the normal composed answer — 1 original attempt + 1 retry
under the default ``BOR_LLM_RETRIES=3``. (Each dead app attempt costs
3 HTTP POSTs — the openai SDK's default 1 + 2 internal retries — so
the mock counts attempts, not POSTs; see the mock docstring.)
* ``always fail`` (``ALWAYS_FAIL_TRIGGER``): every streaming request
500s — the retry-budget exhaustion path.
* ``embed fail once`` (``EMBED_FAIL_TRIGGER``): the first embeddings
request 500s, the next returns the normal vector — the endpoint's
pre-stream embedding retry loop.
The e2e app server boots with ``BOR_LLM_RETRY_DELAY=0`` (conftest) so
the retry waits are instant — the suite pins the MECHANISM; the 5 s
default is unit-pinned via ``tests/unit/test_config.py``.
``BOR_LLM_RETRIES`` is forced to its real default (3, conftest) — the
exhaustion test relies on the real budget: 4 attempts total, so the
last ``retry`` frame reads "(4 of 4)".
KB seed (phase-37 direct-seed pattern): ONE fixture document
(``homelab/kubernetes.md``), one chunk carrying the mock's own
bag-of-words embedding. The marker questions were verified against this
exact seed (``plan_turn``, E2E threshold 0.30):
* the "sourdough" questions (DEFLECT_Q / EXHAUST_Q) share no FTS token
with the document (cosine 0.000, fts 0) → LOW → the DEFLECTED path
(``chat_stream_retried`` directly, no agent round);
* the "kubernetes cluster" questions (GROUNDED_Q / EMBED_Q) FTS-hit the
document (cosine 0.171, fts 1) → HIGH → the GROUNDED path (the agent
loop's per-round retry).
Test → source mapping:
1. ``test_dead_then_recovered_deflected`` — LOW turn: the recorded
``#send-status`` values contain "Communication interrupted —
retrying (2 of 4)…" and "(3 of 4)…" (the owner-locked A4 copy), the
wire carries the two ``retry`` frames ahead of the first delta, the
deflected answer settles, and no error banner appears.
2. ``test_dead_then_recovered_grounded`` — HIGH turn: the same status +
wire assertions; the grounded answer completes with the source chip
(the agent round retried, the turn is intact).
3. ``test_embedding_retry_completes`` — ``embed fail once``: the
pre-stream embedding retry is visible to the UI (a ``retry`` status
before any answer frame) and the turn completes normally.
4. ``test_exhaustion_lands_on_the_error_banner`` — ``always fail``:
after the 4th dead attempt the EXISTING terminal error banner
appears (role=alert, the "dropped the connection" copy), the last
retrying status is the highest attempt — "(4 of 4)…" — and the send
button re-enables (the banner path settles the state machine).
"""
from __future__ import annotations
import hashlib
import json
import re
import time
from datetime import UTC, datetime
from pathlib import Path
from playwright.sync_api import Page, expect
from sqlalchemy import select, text
from sqlalchemy.orm import Session
from app.db import SessionLocal
from app.models import Chunk, Document, QueryLog
from tests.e2e.mock_llm import embed_text
REPO = Path(__file__).resolve().parents[2]
# --------------------------------------------------------------------------
# Seed + questions (see the module docstring for the gate verification)
# --------------------------------------------------------------------------
SEED_SOURCE = "docs"
SEED_PATH = "homelab/kubernetes.md"
SEED_SP = f"{SEED_SOURCE}/{SEED_PATH}"
KUB_CONTENT = (REPO / "tests" / "fixtures" / "docs" / SEED_PATH).read_text()
#: LOW turn (deflected path) + the retry trigger: no FTS overlap with the
#: seeded document, cosine 0.000 → the honesty gate deflects.
DEFLECT_Q = "How do I bake sourdough bread? fail then answer"
#: HIGH turn (grounded path) + the retry trigger: FTS-hits the seeded
#: document → the agent loop runs (and its single round is retried).
GROUNDED_Q = "How is my Kubernetes cluster set up? fail then answer"
#: HIGH turn + the embedding trigger: the pre-stream embedding 500s once.
EMBED_Q = "How is my Kubernetes cluster set up? embed fail once"
#: LOW turn + the exhaustion trigger: every streaming request 500s.
EXHAUST_Q = "How do I bake sourdough bread? always fail"
#: The conftest forces BOR_LLM_RETRIES to its default (3) → 4 attempts
#: total; the attempt math in the assertions is fixed by that budget.
MAX_ATTEMPTS = 4
def _retry_status(attempt: int) -> str:
"""The owner-locked A4 copy for *attempt* (1-based) of MAX_ATTEMPTS."""
return f"Communication interrupted — retrying ({attempt} of {MAX_ATTEMPTS})…"
MOCK_ANSWER_MARKER = "Deterministic mock answer for E2E"
DEFLECT_PHRASE = r"haven't done anything like that"
ERROR_COPY = "The chat model dropped the connection — try again?"
# --------------------------------------------------------------------------
# DB seeding (TRUNCATE-then-seed, cf. test_agent_document_tools.py)
# --------------------------------------------------------------------------
def _seed(db: Session) -> None:
"""The single fixture document (see the module docstring)."""
md = Document(
source=SEED_SOURCE,
path=SEED_PATH,
full_path=f"/tmp/{SEED_PATH}",
title="Kubernetes",
content=KUB_CONTENT,
content_hash=hashlib.sha256(KUB_CONTENT.encode()).hexdigest(),
indexed_at=datetime.now(UTC),
)
db.add(md)
db.flush()
# One chunk carrying the mock's own embedding → genuine token overlap
# for the grounded questions (the FTS path carries them to HIGH).
db.add(
Chunk(
document_id=md.id,
position=0,
content=KUB_CONTENT,
embedding=embed_text(KUB_CONTENT),
)
)
def _reset_db() -> None:
"""Truncate the KB (plus the prompt-shaping tables), then re-seed.
``steering_notes`` / ``kb_overview`` are truncated too, so the
prompts are exactly ``<relevance>`` + ``<documents>`` (+ ``<tools>``
on HIGH) regardless of leftovers from other suites — byte-stable
prompts, byte-stable answers.
"""
with SessionLocal() as db:
db.execute(
text("TRUNCATE chunks, documents, query_log, steering_notes, kb_overview")
)
db.commit()
_seed(db)
db.commit()
def _last_query_log() -> QueryLog:
with SessionLocal() as db:
rows = db.scalars(select(QueryLog)).all()
assert len(rows) == 1, f"expected exactly one query_log row, got {len(rows)}"
return rows[0]
# --------------------------------------------------------------------------
# Page hooks (the #send-status recorder + SSE capture, the phase-37
# pattern from test_agent_document_tools.py)
# --------------------------------------------------------------------------
#: Records every value #send-status takes during the turn (a
#: MutationObserver on the element), so the in-flight status sequence —
#: including the transient phase-67 "retrying" states — is captured
#: deterministically (no polling race).
STATUS_RECORDER = """
() => {
if (window.__statusesInstalled) return;
window.__statusesInstalled = true;
window.__statuses = [];
const el = document.querySelector('#send-status');
if (!el) return;
const rec = (v) => {
const l = window.__statuses;
if (!l.length || l[l.length - 1] !== v) l.push(v);
};
rec(el.textContent);
new MutationObserver(() => rec(el.textContent)).observe(el, {
childList: true,
subtree: true,
});
}
"""
#: Captures the raw SSE ``data:`` payloads of the /api/chat stream
#: (a response clone read in the background) — wire-level assertions
#: for the ``retry`` frames, independent of the UI rendering.
SSE_HOOK = """
() => {
if (window.__sseInstalled) return;
window.__sseInstalled = true;
window.__sseFrames = [];
const origFetch = window.fetch;
window.fetch = async function (...args) {
const res = await origFetch.apply(this, args);
try {
const url = typeof args[0] === 'string' ? args[0] : args[0].url;
if (url.includes('/api/chat')) {
res.clone().text().then((bodyText) => {
for (const block of bodyText.split('\\n\\n')) {
const line = block.trim();
if (line.startsWith('data: ')) {
window.__sseFrames.push(line.slice(6));
}
}
});
}
} catch (e) { /* non-clonable responses: ignored */ }
return res;
};
}
"""
def _install_page_hooks(page: Page) -> None:
"""Install both hooks on the loaded page (post-goto, pre-submit).
The fetch wrapper only needs to be in place before the turn's
``fetch("/api/chat")`` call; the observer needs the rendered
``#send-status``. (``add_init_script`` would not do — it binds to
the NEXT navigation, and the story page is navigated exactly once.)
"""
page.evaluate(SSE_HOOK)
page.evaluate(STATUS_RECORDER)
def _frames(page: Page, terminal: str = "done") -> list[dict]:
"""The captured SSE frames, once the *terminal* frame lands.
The hook reads ``res.clone().text()`` in a background promise that
resolves right after the stream closes — poll briefly until the
terminal (``done``, or ``error`` for the exhaustion test) lands.
"""
deadline = time.monotonic() + 30.0
while True:
raw = page.evaluate("() => window.__sseFrames || []")
parsed = [json.loads(line) for line in raw if line]
if any(f.get("type") == terminal for f in parsed):
return parsed
if time.monotonic() > deadline:
raise AssertionError(
f"SSE hook captured no `{terminal}` frame (frames so far: "
f"{len(parsed)}) — hook install failed?"
)
time.sleep(0.05)
def _retry_frames(frames: list[dict]) -> list[dict]:
return [f for f in frames if f.get("type") == "retry"]
def _assert_retries_before_first_delta(frames: list[dict], retries: list[dict]) -> None:
"""The wire contract (locked A2): every retry frame precedes the
first answer delta — a retry can only restart a request that never
streamed a frame."""
assert retries, "no retry frames on the wire"
first_delta = next(i for i, f in enumerate(frames) if f.get("type") == "delta")
assert all(
i < first_delta for i, f in enumerate(frames) if f.get("type") == "retry"
)
def _assert_no_error_frames(frames: list[dict]) -> None:
assert not [f for f in frames if f.get("type") == "error"]
def _submit(page: Page, question: str) -> None:
page.fill("#message-input", question)
page.click("#send-btn")
# The user bubble lands synchronously with the submit handler.
expect(page.locator(".msg.user .bubble").last).to_contain_text(question)
def _wait_settled(page: Page) -> None:
"""The turn is complete: answer text in the bubble, button recovered.
Phase 48: the label assertion carries the settle wait with an
explicit timeout — the in-flight button is the enabled Stop control
(never disabled), so ``to_be_enabled`` no longer blocks until the
turn settles, and Playwright expect's default (5s) does not inherit
the page default."""
expect(page.locator(".msg.brain .bubble").last).not_to_have_text("", timeout=30_000)
expect(page.locator("#send-btn")).to_be_enabled(timeout=30_000)
expect(page.locator("#send-label")).to_have_text("Send", timeout=30_000)
def _assert_no_error_banner(page: Page) -> None:
"""A retried turn settles through the normal done path — never the
red role=alert error banner (the KB-offline banner is a separate,
health-driven state the db_ready fixture keeps away)."""
banner = page.locator("#kb-banner")
expect(banner).to_be_hidden()
expect(banner).not_to_have_attribute("role", "alert")
expect(banner).not_to_have_class(re.compile(r"is-error"))
# --------------------------------------------------------------------------
# 1. Dead-then-recovered, DEFLECTED path (LOW turn): the status line
# shows the live "retrying" copy and the answer still completes
# --------------------------------------------------------------------------
def test_dead_then_recovered_deflected(
page: Page, app_url: str, mock_llm: int, db_ready: None
) -> None:
_reset_db()
page.set_default_timeout(30_000)
page.goto(app_url)
_install_page_hooks(page)
_submit(page, DEFLECT_Q)
_wait_settled(page)
# The live status (owner-locked A4 copy) was recorded for BOTH
# restarts: attempt 2 (after the original attempt died) and attempt
# 3 (after the first retry died) — attempt 4 never needed to start.
statuses = page.evaluate("() => window.__statuses")
assert _retry_status(2) in statuses, statuses
assert _retry_status(3) in statuses, statuses
# Wire: exactly the two retry frames (attempt = the attempt about to
# be tried, 1-based; max_attempts = the forced-default budget of 4),
# both ahead of the first delta, and no error frame anywhere.
frames = _frames(page)
retries = _retry_frames(frames)
assert retries == [
{"type": "retry", "attempt": 2, "max_attempts": MAX_ATTEMPTS},
{"type": "retry", "attempt": 3, "max_attempts": MAX_ATTEMPTS},
], retries
_assert_retries_before_first_delta(frames, retries)
_assert_no_error_frames(frames)
done = next(f for f in frames if f.get("type") == "done")
assert done["deflected"] is True
# The deflected answer settled normally — no error banner.
last = page.locator(".msg.brain").last
expect(last).to_have_class(re.compile(r"is-deflected"))
expect(last.locator(".bubble")).to_contain_text(
re.compile(DEFLECT_PHRASE, re.IGNORECASE)
)
_assert_no_error_banner(page)
row = _last_query_log()
assert row.question == DEFLECT_Q
assert row.deflected is True
# --------------------------------------------------------------------------
# 2. Dead-then-recovered, GROUNDED path (HIGH turn): the agent round
# retried and the answer completes with its sources
# --------------------------------------------------------------------------
def test_dead_then_recovered_grounded(
page: Page, app_url: str, mock_llm: int, db_ready: None
) -> None:
_reset_db()
page.set_default_timeout(30_000)
page.goto(app_url)
_install_page_hooks(page)
_submit(page, GROUNDED_Q)
_wait_settled(page)
# Same status sequence as the deflected path — the per-round retry
# (agent loop, task 03) surfaces through the same status line.
statuses = page.evaluate("() => window.__statuses")
assert _retry_status(2) in statuses, statuses
assert _retry_status(3) in statuses, statuses
frames = _frames(page)
retries = _retry_frames(frames)
assert retries == [
{"type": "retry", "attempt": 2, "max_attempts": MAX_ATTEMPTS},
{"type": "retry", "attempt": 3, "max_attempts": MAX_ATTEMPTS},
], retries
_assert_retries_before_first_delta(frames, retries)
_assert_no_error_frames(frames)
done = next(f for f in frames if f.get("type") == "done")
assert done["deflected"] is False
assert [(s["source"], s["path"]) for s in done["sources"]] == [
(SEED_SOURCE, SEED_PATH)
]
# The grounded answer completed with the source chip — the agent
# round retried and the turn is intact.
bubble = page.locator(".msg.brain .bubble").last
expect(bubble).to_contain_text(GROUNDED_Q)
expect(bubble).to_contain_text(MOCK_ANSWER_MARKER)
chips = page.locator(".msg.brain .source-chip")
expect(chips).to_have_count(1)
expect(chips.first).to_contain_text(SEED_SP)
_assert_no_error_banner(page)
row = _last_query_log()
assert row.question == GROUNDED_Q
assert row.deflected is False
assert row.sources == SEED_SP
# --------------------------------------------------------------------------
# 3. Embedding retry: the pre-stream embedding loop is visible to the
# UI (a retry status before any answer) and the turn completes
# --------------------------------------------------------------------------
def test_embedding_retry_completes(
page: Page, app_url: str, mock_llm: int, db_ready: None
) -> None:
_reset_db()
page.set_default_timeout(30_000)
page.goto(app_url)
_install_page_hooks(page)
_submit(page, EMBED_Q)
_wait_settled(page)
# The embedding step runs BEFORE the honesty gate and the answer
# stream, so its single retry is the ONLY retry frame of the turn —
# and the UI saw it as the live status (no answer frame had landed).
statuses = page.evaluate("() => window.__statuses")
assert _retry_status(2) in statuses, statuses
frames = _frames(page)
retries = _retry_frames(frames)
assert retries == [
{"type": "retry", "attempt": 2, "max_attempts": MAX_ATTEMPTS},
], retries
_assert_retries_before_first_delta(frames, retries)
_assert_no_error_frames(frames)
done = next(f for f in frames if f.get("type") == "done")
assert done["deflected"] is False
# The turn completed normally with the grounded answer + chip.
bubble = page.locator(".msg.brain .bubble").last
expect(bubble).to_contain_text(MOCK_ANSWER_MARKER)
chips = page.locator(".msg.brain .source-chip")
expect(chips).to_have_count(1)
expect(chips.first).to_contain_text(SEED_SP)
_assert_no_error_banner(page)
# --------------------------------------------------------------------------
# 4. Exhaustion: a dead endpoint burns the whole budget, then the
# EXISTING terminal error banner lands and the composer recovers
# --------------------------------------------------------------------------
def test_exhaustion_lands_on_the_error_banner(
page: Page, app_url: str, mock_llm: int, db_ready: None
) -> None:
_reset_db()
page.set_default_timeout(30_000)
page.goto(app_url)
_install_page_hooks(page)
_submit(page, EXHAUST_Q)
# After the 4th dead attempt the turn dies: the existing terminal
# error banner (role=alert) with the existing copy, and the send
# button re-enabled (the banner path settles the state machine).
expect(page.locator("#kb-banner")).to_have_attribute(
"role", "alert", timeout=60_000
)
expect(page.locator("#kb-banner")).to_contain_text(ERROR_COPY)
expect(page.locator("#send-btn")).to_be_enabled(timeout=30_000)
expect(page.locator("#send-label")).to_have_text("Send", timeout=30_000)
# The live status climbed the whole budget: the LAST retrying status
# is the highest attempt — "(4 of 4)…" (no attempt 5 exists).
statuses = page.evaluate("() => window.__statuses")
retry_statuses = [s for s in statuses if "retrying" in s]
assert retry_statuses, statuses
assert retry_statuses[-1] == _retry_status(MAX_ATTEMPTS), statuses
# Wire: the three retry frames (attempts 2, 3, 4 of 4), then the
# terminal error frame as the LAST event — no done, no delta.
frames = _frames(page, terminal="error")
retries = _retry_frames(frames)
assert retries == [
{"type": "retry", "attempt": a, "max_attempts": MAX_ATTEMPTS}
for a in (2, 3, 4)
], retries
assert frames[-1]["type"] == "error"
assert ERROR_COPY in frames[-1]["detail"]
assert not [f for f in frames if f.get("type") == "done"]
assert not [f for f in frames if f.get("type") == "delta"]
# No answer bubble was ever rendered (no frame ever streamed a
# token) — the user bubble is the only message in the DOM.
expect(page.locator("#messages > .msg.brain")).to_have_count(0)
expect(page.locator(".msg.user .bubble")).to_have_count(1)
tests/integration/test_chat_api.py
+200 -6
View File
@@ -61,6 +61,8 @@ class FakeRagLLM:
stream_error: Exception | None = None,
fail_mid_stream: bool = False,
tool_script: list[list[StreamPiece | ToolCallPiece]] | None = None,
embed_fail_count: int = 0,
stream_fail_count: int = 0,
) -> None:
self.settings = Settings(_env_file=None) # pyright: ignore[reportCallIssue]
self.embed_batches = 0
@@ -69,6 +71,14 @@ class FakeRagLLM:
self.embed_error = embed_error
self.stream_error = stream_error
self.fail_mid_stream = fail_mid_stream
#: Phase 67: the first N ``embed_one`` calls raise an
#: ``EmbeddingError`` (then succeed) — a dead-then-recovered
#: embeddings endpoint for the retry loop.
self.embed_fail_count = embed_fail_count
#: Phase 67: the first N ``chat_stream`` requests die with an
#: ``LLMError`` BEFORE any piece (then succeed) — a dead-then-
#: recovered answer endpoint for the pre-first-piece retry rule.
self.stream_fail_count = stream_fail_count
self.question_embeds: list[str] = []
self.seen_messages: list[list[dict[str, str]]] = []
#: Every request's ``tools`` value (phase 37) — ``None`` is the
@@ -100,6 +110,10 @@ class FakeRagLLM:
async def embed_one(self, text: str) -> list[float]:
if self.embed_error is not None:
raise self.embed_error
if self.embed_fail_count > 0:
self.embed_fail_count -= 1
self.question_embeds.append(text)
raise EmbeddingError("simulated embeddings endpoint failure")
self.question_embeds.append(text)
return _token_vec(text)
@@ -118,6 +132,9 @@ class FakeRagLLM:
self.seen_tools.append(tools)
if self.stream_error is not None:
raise self.stream_error
if self.stream_fail_count > 0:
self.stream_fail_count -= 1
raise LLMError("simulated pre-piece endpoint failure")
if tools is not None and self.tool_script:
for piece in self.tool_script.pop(0):
yield piece
@@ -388,17 +405,33 @@ def test_chat_empty_kb_streams_empty_sources(client, db) -> None:
assert row.sources == ""
def test_chat_embed_failure_yields_error_event(client, db, seeded_kb: FakeRagLLM) -> None:
def test_chat_embed_failure_yields_error_event(
client, db, seeded_kb: FakeRagLLM, monkeypatch: pytest.MonkeyPatch
) -> None:
"""Phase 67: a dead embeddings endpoint retries on the configured
budget — one ``retry`` frame per restart (the attempt about to be
tried, 1-based) — and settles on the existing terminal error frame;
no query_log row. Zero delay keeps the exhaustion path fast."""
broken = FakeRagLLM(embed_error=EmbeddingError("embeddings endpoint down"))
live = get_settings()
monkeypatch.setattr(
chat_api, "get_settings", lambda: _retry_settings(live)
)
fastapi_app.dependency_overrides[chat_api.get_llm] = lambda: broken
try:
_, _, frames = _stream_chat(client, QUESTION)
finally:
fastapi_app.dependency_overrides.clear()
assert len(frames) == 1
assert frames[0]["type"] == "error"
assert "embedding" in frames[0]["detail"]
retries = live.llm_retries
assert [f["type"] for f in frames] == ["retry"] * retries + ["error"]
assert [f["attempt"] for f in frames if f["type"] == "retry"] == list(
range(2, retries + 2)
)
assert all(
f["max_attempts"] == retries + 1 for f in frames if f["type"] == "retry"
)
assert "embedding" in frames[-1]["detail"]
assert db.scalars(select(QueryLog)).all() == []
@@ -416,11 +449,19 @@ def test_chat_mid_stream_failure_yields_error_after_partial_deltas(client, db) -
assert db.scalars(select(QueryLog)).all() == []
def test_error_event_matches_contract_shape(client, db, seeded_kb) -> None:
def test_error_event_matches_contract_shape(
client, db, seeded_kb, monkeypatch: pytest.MonkeyPatch
) -> None:
"""The SSE error event (PLAN §4) is exactly ``{type, detail}`` — the
client's loading-feedback state machine (phase 06) keys off this shape
to flip to the error state and re-enable the send button."""
to flip to the error state and re-enable the send button.
``llm_retries=0`` keeps this a single-attempt turn: the contract under
test is the error frame itself, not the phase-67 retry loop."""
broken = FakeRagLLM(embed_error=EmbeddingError("embeddings endpoint down"))
live = get_settings()
monkeypatch.setattr(
chat_api, "get_settings", lambda: _retry_settings(live, llm_retries=0)
)
fastapi_app.dependency_overrides[chat_api.get_llm] = lambda: broken
try:
_, _, frames = _stream_chat(client, QUESTION)
@@ -718,3 +759,156 @@ def test_tool_execution_db_failure_yields_error_event(
assert frames[0]["name"] == "list_documents"
assert "offline mid-question" in frames[1]["detail"]
assert db.scalars(select(QueryLog)).all() == [] # no row for a failed turn
# ---------- phase 67: LLM retries before the first token ----------
def _retry_settings(live: Settings, **overrides: Any) -> Settings:
"""Settings for the retry tests: the live (mock-calibrated) threshold
plus the phase-67 knobs, with a ZERO delay so the suite never sleeps.
(The 5 s default is unit-pinned in ``tests/unit/test_config.py``.)"""
kwargs: dict[str, Any] = {
"relevance_threshold": live.relevance_threshold,
"llm_retry_delay": 0.0,
}
kwargs.update(overrides)
return Settings(_env_file=None, **kwargs) # pyright: ignore[reportCallIssue]
def test_embed_failure_retries_then_turn_completes(
client,
db,
seeded_kb: FakeRagLLM,
monkeypatch: pytest.MonkeyPatch,
caplog: pytest.LogCaptureFixture,
) -> None:
"""A dead-then-recovered embeddings endpoint: one SSE ``retry`` frame
(the attempt about to be tried, 1-based) ahead of the normal answer
frames; the turn completes and the per-turn log line counts the
retry (``retries=1``)."""
flaky = FakeRagLLM(embed_fail_count=1)
live = get_settings()
monkeypatch.setattr(
chat_api, "get_settings", lambda: _retry_settings(live, llm_retries=1)
)
fastapi_app.dependency_overrides[chat_api.get_llm] = lambda: flaky
try:
caplog.set_level(logging.INFO, logger="app.chat")
_, _, frames = _stream_chat(client, QUESTION)
finally:
fastapi_app.dependency_overrides.clear()
assert frames[0] == {"type": "retry", "attempt": 2, "max_attempts": 2}
assert not any(f["type"] == "error" for f in frames)
deltas = [f for f in frames if f["type"] == "delta"]
assert len(deltas) >= 2
assert "".join(d["text"] for d in deltas) == flaky.answer
assert frames[-1]["type"] == "done"
lines = [r.getMessage() for r in caplog.records if "question=" in r.getMessage()]
assert lines and "retries=1" in lines[-1]
def test_embed_failure_exhausts_retries_then_terminal_error(
client, db, seeded_kb: FakeRagLLM, monkeypatch: pytest.MonkeyPatch
) -> None:
"""A dead embeddings endpoint (``llm_retries=2`` → 3 attempts): one
``retry`` frame per restart (attempts 2 and 3 of 3), then the
EXISTING terminal error frame — the copy is unchanged, no query_log
row."""
dead = FakeRagLLM(embed_fail_count=99) # every attempt fails
live = get_settings()
monkeypatch.setattr(
chat_api, "get_settings", lambda: _retry_settings(live, llm_retries=2)
)
fastapi_app.dependency_overrides[chat_api.get_llm] = lambda: dead
try:
_, _, frames = _stream_chat(client, QUESTION)
finally:
fastapi_app.dependency_overrides.clear()
assert [f["type"] for f in frames] == ["retry", "retry", "error"]
assert [f["attempt"] for f in frames if f["type"] == "retry"] == [2, 3]
assert all(f["max_attempts"] == 3 for f in frames if f["type"] == "retry")
assert "embedding" in frames[-1]["detail"]
assert db.scalars(select(QueryLog)).all() == []
def test_deflected_stream_retries_before_the_first_piece(
client,
db,
seeded_kb: FakeRagLLM,
monkeypatch: pytest.MonkeyPatch,
caplog: pytest.LogCaptureFixture,
) -> None:
"""Deflected answer stream: the first attempt dies before any piece,
the restart streams — a ``retry`` frame ahead of the deltas, the
request restarted with the same messages (no tools key), and the
per-turn log line counts the retry."""
flaky = FakeRagLLM(stream_fail_count=1)
live = get_settings()
monkeypatch.setattr(
chat_api, "get_settings", lambda: _retry_settings(live, llm_retries=2)
)
fastapi_app.dependency_overrides[chat_api.get_llm] = lambda: flaky
try:
caplog.set_level(logging.INFO, logger="app.chat")
_, _, frames = _stream_chat(client, OFF_TOPIC)
finally:
fastapi_app.dependency_overrides.clear()
assert frames[0] == {"type": "retry", "attempt": 2, "max_attempts": 3}
rest = frames[1:]
assert all(f["type"] in ("delta", "done") for f in rest)
assert "".join(f["text"] for f in rest if f["type"] == "delta") == flaky.answer
assert rest[-1]["type"] == "done" and rest[-1]["deflected"] is True
assert len(flaky.seen_messages) == 2 # the request was restarted
assert flaky.seen_tools == [None, None] # …byte-identical (no tools key)
lines = [r.getMessage() for r in caplog.records if "question=" in r.getMessage()]
assert lines and "retries=1" in lines[-1]
def test_deflected_stream_failure_after_first_frame_is_terminal(
client, db, seeded_kb: FakeRagLLM, monkeypatch: pytest.MonkeyPatch
) -> None:
"""Locked A2: a stream failure AFTER the first output frame is
terminal — no ``retry`` frame, the existing error copy, no row (a
partial answer is never redone)."""
broken = FakeRagLLM(fail_mid_stream=True)
live = get_settings()
monkeypatch.setattr(
chat_api, "get_settings", lambda: _retry_settings(live, llm_retries=3)
)
fastapi_app.dependency_overrides[chat_api.get_llm] = lambda: broken
try:
_, _, frames = _stream_chat(client, OFF_TOPIC)
finally:
fastapi_app.dependency_overrides.clear()
assert [f["type"] for f in frames] == ["delta", "error"]
assert not any(f["type"] == "retry" for f in frames)
assert "dropped the connection" in frames[1]["detail"]
assert db.scalars(select(QueryLog)).all() == []
def test_zero_retries_keep_the_pre_phase_wire_shape(
client, db, seeded_kb: FakeRagLLM, monkeypatch: pytest.MonkeyPatch
) -> None:
"""The ``BOR_LLM_RETRIES=0`` kill switch: one attempt, the existing
terminal error frame, no ``retry`` frames — the pre-phase-67
byte-identical wire shape."""
broken = FakeRagLLM(embed_error=EmbeddingError("embeddings endpoint down"))
live = get_settings()
monkeypatch.setattr(
chat_api, "get_settings", lambda: _retry_settings(live, llm_retries=0)
)
fastapi_app.dependency_overrides[chat_api.get_llm] = lambda: broken
try:
_, _, frames = _stream_chat(client, QUESTION)
finally:
fastapi_app.dependency_overrides.clear()
assert len(frames) == 1
assert frames[0]["type"] == "error"
assert "embedding" in frames[0]["detail"]
assert not any(f["type"] == "retry" for f in frames)
tests/unit/test_agent.py
+307 -7
View File
@@ -8,15 +8,21 @@ removed the per-tool budgets, the assistant/tool message history), the
kill switch (``agent_max_rounds=0`` single-call path), the round cap
forcing a final no-tools answer (an always-calling stream and an
always-rejected stream), re-lists and multi-reads executing without
budgets, dedupe, unknown tool / missing args / unknown path, and the
``<tools>`` prompt section (HIGH only).
budgets, dedupe, unknown tool / missing args / unknown path, the
``<tools>`` prompt section (HIGH only), and the phase-67 per-round
retries (a dead-then-recovered round restarts before its first piece
with a ``RetryPiece``; a mid-stream drop stays terminal — locked A2;
the forced final no-tools call retries too; ``llm_retries=0`` is one
plain attempt; retries are invisible to the round cap; consumer abandon
mid-retry-sleep leaks nothing).
"""
from __future__ import annotations
import asyncio
import json
import logging
import uuid
from collections.abc import AsyncIterator
from collections.abc import AsyncGenerator, AsyncIterator
from copy import deepcopy
from typing import Any, cast
@@ -31,7 +37,7 @@ from app.rag.agent import (
AgentHolder,
run_agent,
)
from app.rag.llm import LLMClient, StreamPiece, ToolCallPiece
from app.rag.llm import LLMClient, LLMError, RetryPiece, StreamPiece, ToolCallPiece
from app.rag.prompts import TOOLS_SECTION, _base, build_deflect_prompt, build_high_prompt
@@ -73,12 +79,12 @@ class ScriptedLLM:
async def _run(
llm: ScriptedLLM,
llm: ScriptedLLM | FailingLLM,
holder: AgentHolder,
settings: Settings,
seed_docs: list[Document] | None = None,
) -> list[StreamPiece | ToolCallPiece]:
out: list[StreamPiece | ToolCallPiece] = []
) -> list[StreamPiece | ToolCallPiece | RetryPiece]:
out: list[StreamPiece | ToolCallPiece | RetryPiece] = []
async for piece in run_agent(
cast("LLMClient", llm),
cast("Session", None),
@@ -541,6 +547,300 @@ def test_read_document_missing_arguments_refused(
assert llm.requests[1][1] == AGENT_TOOLS
# ---------- retries inside the agent loop (phase 67, locked A2) ----------
class FailingLLM:
"""A scripted fake whose Nth ``chat_stream`` call yields pieces and
then raises (phase 67): ``attempts`` is a list of ``(pieces, error)``
— an error after zero pieces = "the endpoint died before the first
token"; after some pieces = a mid-stream drop. Records every
request's messages/tools and the indices of the attempts whose stream
teardown ran (``closed``)."""
def __init__(
self,
attempts: list[tuple[list[StreamPiece | ToolCallPiece], Exception | None]],
) -> None:
self.attempts = list(attempts)
self.requests: list[tuple[list[dict[str, Any]], list[dict[str, Any]] | None]] = []
#: Indices of attempts whose stream teardown has run.
self.closed: list[int] = []
def chat_stream(
self,
messages: list[dict[str, str]],
tools: list[dict[str, Any]] | None = None,
) -> AsyncIterator[StreamPiece | ToolCallPiece]:
index = len(self.requests)
pieces, error = (
self.attempts[index]
if index < len(self.attempts)
else ([], LLMError("script exhausted"))
)
self.requests.append(
(deepcopy(messages), deepcopy(tools) if tools is not None else None)
)
return self._attempt(index, pieces, error)
async def _attempt(
self,
index: int,
pieces: list[StreamPiece | ToolCallPiece],
error: Exception | None,
) -> AsyncIterator[StreamPiece | ToolCallPiece]:
try:
for piece in pieces:
yield piece
if error is not None:
raise error
finally:
self.closed.append(index)
def _record_sleeps(monkeypatch: pytest.MonkeyPatch) -> list[float]:
"""Monkeypatch ``asyncio.sleep`` (what ``chat_stream_retried`` awaits
for the flat pre-retry delay) and record every awaited delay."""
sleeps: list[float] = []
async def fake_sleep(seconds: float) -> None:
sleeps.append(seconds)
monkeypatch.setattr(asyncio, "sleep", fake_sleep)
return sleeps
def test_round_retried_before_first_piece(
monkeypatch: pytest.MonkeyPatch,
caplog: pytest.LogCaptureFixture,
) -> None:
"""A tool round that dies before its first piece is restarted with the
same messages: the stream carries a RetryPiece BEFORE the tool call,
the tool executes, the final answer streams, and the per-call log line
is still emitted exactly once (retries are invisible to the loop)."""
monkeypatch.setattr(agent, "list_catalog", lambda db: [("S", "a.md", "A")])
holder = AgentHolder()
llm = FailingLLM(
[
([], LLMError("connection refused")),
([ToolCallPiece(id="call_1", name="list_documents", arguments={})], None),
([StreamPiece("content", "Done!")], None),
]
)
sleeps = _record_sleeps(monkeypatch)
with caplog.at_level(logging.INFO, logger="app.agent"):
pieces = asyncio.run(
_run(llm, holder, _settings(agent_max_rounds=2, llm_retry_delay=2.5))
)
assert pieces == [
RetryPiece(2, 4), # default llm_retries=3 → 4 attempts
ToolCallPiece(id="call_1", name="list_documents", arguments={}),
StreamPiece("content", "Done!"),
]
assert holder.tool_calls == 1
assert holder.read_docs == []
# The restart is byte-identical: same messages, same tools offered.
assert len(llm.requests) == 3
assert llm.requests[0] == llm.requests[1]
assert llm.requests[0][1] == AGENT_TOOLS
assert llm.requests[2][1] == AGENT_TOOLS # the answer round still offered
# The flat delay was awaited exactly once, before the retry.
assert sleeps == [2.5]
tool_logs = [r for r in caplog.records if r.getMessage().startswith("agent tool=")]
assert len(tool_logs) == 1 # the retry did not re-run the tool or log
assert tool_logs[0].getMessage() == "agent tool=list_documents args={} round=1/2"
def test_round_failure_after_first_piece_is_terminal(
monkeypatch: pytest.MonkeyPatch,
) -> None:
"""Locked A2: a round that already streamed a piece fails the turn —
the LLMError propagates out of ``run_agent``, no RetryPiece, no
sleep, no second request, and the holder is untouched (the tool
never ran)."""
monkeypatch.setattr(agent, "list_catalog", lambda db: [])
holder = AgentHolder()
llm = FailingLLM(
[([StreamPiece("content", "partial ")], LLMError("mid-stream drop"))]
)
sleeps = _record_sleeps(monkeypatch)
async def drain() -> list[StreamPiece | ToolCallPiece | RetryPiece]:
out: list[StreamPiece | ToolCallPiece | RetryPiece] = []
with pytest.raises(LLMError, match="mid-stream drop"):
async for piece in run_agent(
cast("LLMClient", llm),
cast("Session", None),
system_prompt="SYSTEM_PROMPT",
user_message="QUESTION",
seed_docs=[],
settings=_settings(),
holder=holder,
):
out.append(piece)
return out
out = asyncio.run(drain())
assert out == [StreamPiece("content", "partial ")] # no RetryPiece
assert len(llm.requests) == 1 # no retry
assert sleeps == []
assert holder.read_docs == [] and holder.tool_calls == 0
def test_forced_final_no_tools_call_is_retried(
monkeypatch: pytest.MonkeyPatch,
) -> None:
"""The forced final request (round cap reached) goes through the same
retry rule: a failure before its first piece yields a RetryPiece and
restarts with ``tools=None``; the answer from the retry streams."""
monkeypatch.setattr(agent, "list_catalog", lambda db: [("S", "a.md", "A")])
holder = AgentHolder()
llm = FailingLLM(
[
([ToolCallPiece(id="call_1", name="list_documents", arguments={})], None),
([ToolCallPiece(id="call_2", name="list_documents", arguments={})], None),
([], LLMError("down at the cap")),
([StreamPiece("content", "forced answer")], None),
]
)
pieces = asyncio.run(_run(llm, holder, _settings(agent_max_rounds=2)))
assert [type(p) for p in pieces] == [
ToolCallPiece,
ToolCallPiece,
RetryPiece,
StreamPiece,
]
assert pieces[2] == RetryPiece(2, 4)
assert pieces[3] == StreamPiece("content", "forced answer")
assert len(llm.requests) == 4 # 2 tool rounds + the final + its retry
# The forced final (and its retry) carry no tools, whatever is left.
assert llm.requests[2][1] is None
assert llm.requests[3][1] is None
# …and the restart is byte-identical.
assert llm.requests[2][0] == llm.requests[3][0]
assert holder.tool_calls == 2
def test_zero_retries_is_one_plain_attempt(
monkeypatch: pytest.MonkeyPatch,
) -> None:
"""The kill-switch path (``llm_retries=0``): a dead round raises
immediately — one request, no RetryPiece, no sleep (pre-phase-67
behavior)."""
monkeypatch.setattr(agent, "list_catalog", lambda db: [])
holder = AgentHolder()
llm = FailingLLM([([], LLMError("connection refused"))])
sleeps = _record_sleeps(monkeypatch)
async def drain() -> list[StreamPiece | ToolCallPiece | RetryPiece]:
out: list[StreamPiece | ToolCallPiece | RetryPiece] = []
with pytest.raises(LLMError, match="connection refused"):
async for piece in run_agent(
cast("LLMClient", llm),
cast("Session", None),
system_prompt="SYSTEM_PROMPT",
user_message="QUESTION",
seed_docs=[],
settings=_settings(llm_retries=0),
holder=holder,
):
out.append(piece)
return out
out = asyncio.run(drain())
assert out == [] # nothing streamed, no RetryPiece
assert len(llm.requests) == 1
assert sleeps == []
assert holder.read_docs == [] and holder.tool_calls == 0
def test_abandon_mid_retry_sleep_leaks_nothing(
monkeypatch: pytest.MonkeyPatch,
) -> None:
"""Consumer abandon while a retried round is parked in the pre-retry
sleep (client disconnect): the driving task is cancelled cleanly, the
production teardown ``aclose()`` on ``run_agent`` does not raise, the
inner attempt's stream was torn down, and the retry never starts."""
entered = asyncio.Event()
async def parking_sleep(seconds: float) -> None:
entered.set()
await asyncio.Event().wait() # park until the abandon arrives
monkeypatch.setattr(asyncio, "sleep", parking_sleep)
monkeypatch.setattr(agent, "list_catalog", lambda db: [])
holder = AgentHolder()
llm = FailingLLM(
[([], LLMError("endpoint down")), ([StreamPiece("content", "never")], None)]
)
async def run() -> None:
gen = run_agent(
cast("LLMClient", llm),
cast("Session", None),
system_prompt="SYSTEM_PROMPT",
user_message="QUESTION",
seed_docs=[],
settings=_settings(),
holder=holder,
)
async def consumer() -> list[StreamPiece | ToolCallPiece | RetryPiece]:
return [p async for p in gen]
task = asyncio.ensure_future(consumer())
await entered.wait() # the round's retry is parked in the sleep
assert not task.done()
task.cancel() # client disconnect: the driving task is cancelled
with pytest.raises(asyncio.CancelledError):
await task
# Production teardown (phase 48 pattern): must not raise. ``run_agent``
# is an async generator despite its AsyncIterator annotation.
await cast(
"AsyncGenerator[StreamPiece | ToolCallPiece | RetryPiece, None]", gen
).aclose()
asyncio.run(run())
assert len(llm.requests) == 1 # the retry never started
assert llm.closed == [0] # attempt 1's inner stream was torn down
assert holder.read_docs == [] and holder.tool_calls == 0
def test_retries_are_invisible_to_the_round_cap(
monkeypatch: pytest.MonkeyPatch,
caplog: pytest.LogCaptureFixture,
) -> None:
"""A failing-then-succeeding round consumes ONE round: with a cap of
2, the retried first round and the second tool round fill the cap —
the forced final follows the SECOND call, and the log lines read
round=1/2 and round=2/2."""
monkeypatch.setattr(agent, "list_catalog", lambda db: [("S", "a.md", "A")])
holder = AgentHolder()
llm = FailingLLM(
[
([], LLMError("down")),
([ToolCallPiece(id="call_1", name="list_documents", arguments={})], None),
([ToolCallPiece(id="call_2", name="list_documents", arguments={})], None),
([StreamPiece("content", "forced answer")], None),
]
)
with caplog.at_level(logging.INFO, logger="app.agent"):
pieces = asyncio.run(_run(llm, holder, _settings(agent_max_rounds=2)))
assert [type(p) for p in pieces] == [
RetryPiece,
ToolCallPiece,
ToolCallPiece,
StreamPiece,
]
assert len(llm.requests) == 4 # 2 (round 1 + its retry) + 1 + the forced final
assert llm.requests[3][1] is None # the forced final, after round 2
assert holder.tool_calls == 2
msgs = [r.getMessage() for r in caplog.records]
assert "agent tool=list_documents args={} round=1/2" in msgs
assert "agent tool=list_documents args={} round=2/2" in msgs
assert any("round cap reached (rounds=2)" in m for m in msgs)
# ---------- prompts: <tools> section (HIGH only) ----------
tests/unit/test_config.py
+35
View File
@@ -112,6 +112,41 @@ def test_max_output_tokens_env_override(monkeypatch) -> None:
assert s.max_output_tokens == 1234
def test_llm_retry_defaults(monkeypatch: pytest.MonkeyPatch) -> None:
"""Phase 67: a failed LLM request is retried by default — 3 retries
with a flat 5 s delay (the TODO-locked values, no backoff)."""
monkeypatch.delenv("BOR_LLM_RETRIES", raising=False)
monkeypatch.delenv("BOR_LLM_RETRY_DELAY", raising=False)
s = _settings()
assert s.llm_retries == 3
assert s.llm_retry_delay == 5.0
def test_llm_retry_env_overrides(monkeypatch: pytest.MonkeyPatch) -> None:
"""``BOR_LLM_RETRIES`` / ``BOR_LLM_RETRY_DELAY`` override the defaults;
``0`` retries is the no-retry kill switch (pre-phase-67 behavior)."""
monkeypatch.setenv("BOR_LLM_RETRIES", "0")
monkeypatch.setenv("BOR_LLM_RETRY_DELAY", "1.5")
s = _settings()
assert s.llm_retries == 0
assert s.llm_retry_delay == 1.5
def test_llm_retries_rejects_negative(monkeypatch: pytest.MonkeyPatch) -> None:
"""``0`` is the kill switch — a negative value is a typo, so the
validator fails loudly at startup (the ``agent_max_rounds`` pattern)."""
monkeypatch.setenv("BOR_LLM_RETRIES", "-1")
with pytest.raises(ValidationError, match="llm_retries"):
_settings()
def test_llm_retry_delay_rejects_negative(monkeypatch: pytest.MonkeyPatch) -> None:
"""A negative delay is a typo — fail loudly at startup."""
monkeypatch.setenv("BOR_LLM_RETRY_DELAY", "-0.5")
with pytest.raises(ValidationError, match="llm_retry_delay"):
_settings()
def test_agent_max_rounds_default_and_env_override(monkeypatch: pytest.MonkeyPatch) -> None:
"""Phase 45: the per-tool budgets are gone — ``BOR_AGENT_MAX_ROUNDS``
(default 10) is the single agent-loop knob; ``0`` is the no-tools
tests/unit/test_frontend_feedback.py
+53
View File
@@ -605,3 +605,56 @@ def test_index_messages_comment_documents_the_meta_actions() -> None:
assert "every visitor" in comment.lower() or "everyone" in comment.lower(), (
"Retry is documented as available to all visitors"
)
# ---------- llm retry status (phase 67, task 04) ----------
def test_retry_frame_is_a_first_class_branch_between_tool_and_delta() -> None:
"""Phase 67 (owner-locked A4, task 02's contract): a `retry` SSE
frame (the server restarted the LLM request before its first piece
— locked A2) is a first-class branch in runTurn's handler, ordered
BETWEEN the `tool` and `delta` branches. It clears the 120s guard
(a frame arrived), resolves n/N from the frame, and writes the
owner-locked copy literal onto the EXISTING channels only — the
#send-status live region + the typing-indicator aria-label. No DOM
of its own: no addMessage, no appendToolLine, no error banner, no
UI-state change. The gate covers BOTH live states: a later agent
round may restart while the UI already streams."""
js = _js()
tool_idx = js.find('ev.type === "tool"')
retry_idx = js.find('ev.type === "retry"')
delta_idx = js.find('ev.type === "delta"')
assert -1 < tool_idx < retry_idx < delta_idx, (
"the turn handler must branch on retry frames, between tool and delta"
)
assert js.count('ev.type === "retry"') == 1, "exactly one retry branch"
branch = js[retry_idx:delta_idx]
assert "clearTurnTimeout()" in branch, "a frame arrived — the 120s guard clears"
assert "Number(ev.attempt)" in branch, "n = the attempt about to be tried"
assert "Number(ev.max_attempts)" in branch, "N = the configured total"
assert (
"`Communication interrupted — retrying (${attempt} of ${max})…`" in branch
), "the owner-locked copy literal (A4)"
assert "sendStatus.textContent = retryStatus" in branch, (
"the existing #send-status live region carries the status"
)
assert "#typing-indicator .bubble" in branch, ("the typing-indicator is reused")
assert 'setAttribute("aria-label", retryStatus)' in branch
assert "UI_STATE.thinking" in branch and "UI_STATE.streaming" in branch, (
"the gate covers BOTH live states (a later round may restart mid-stream)"
)
for forbidden in ("addMessage", "appendToolLine", "showErrorBanner", "setUiState"):
assert forbidden not in branch, f"transient status only — no {forbidden}"
def test_header_inventory_documents_the_retry_frame() -> None:
"""The app.js file-header doc comment inventories every SSE frame
type (house convention); phase 67 adds the `retry` frame there, with
the owner-locked copy quoted, so the A4 literal has exactly two
homes: the header doc and the handler branch."""
js = _js()
header = js[: js.find("import {")]
assert "`retry`" in header, "the header must list the retry frame"
assert "Communication interrupted — retrying" in header
assert header.count("Communication interrupted — retrying") == 1
tests/unit/test_llm_client.py
+274
View File
@@ -10,6 +10,7 @@ from __future__ import annotations
import asyncio
import json
from collections.abc import AsyncGenerator
from types import SimpleNamespace
from typing import Any, cast
@@ -21,8 +22,10 @@ from app.rag.llm import (
EmbeddingError,
LLMClient,
LLMError,
RetryPiece,
StreamPiece,
ToolCallPiece,
chat_stream_retried,
)
@@ -800,3 +803,274 @@ def test_chat_whitespace_only_content_raises_llm_error() -> None:
llm, _ = _make_chat_client(_FakeCompletion(" \n\t "))
with pytest.raises(LLMError, match="empty content"):
asyncio.run(llm.chat([{"role": "user", "content": "q"}]))
# ---------- chat_stream_retried (phase 67, task 01) ----------
_RETRY_MSGS: list[dict[str, str]] = [{"role": "user", "content": "q"}]
class _ScriptedClient(LLMClient):
"""An LLMClient whose ``chat_stream`` is scripted per attempt — no
endpoint. ``attempts`` scripts the Nth call: ``(pieces, error)`` — the
stream yields *pieces*, then raises *error* if not None (an error after
zero pieces = "the endpoint died before the first token"; after some
pieces = a mid-stream drop). Records every request's messages/tools
and every attempt's stream teardown (the phase-48 close analog)."""
def __init__(
self, attempts: list[tuple[list[StreamPiece | ToolCallPiece], Exception | None]]
) -> None:
super().__init__(_settings())
self.attempts = list(attempts)
self.request_args: list[
tuple[list[dict[str, str]], list[dict[str, Any]] | None]
] = []
#: Indices of attempts whose stream teardown has run.
self.closed: list[int] = []
def chat_stream(
self,
messages: list[dict[str, str]],
tools: list[dict[str, Any]] | None = None,
) -> AsyncGenerator[StreamPiece | ToolCallPiece, None]:
index = len(self.request_args)
pieces, error = (
self.attempts[index]
if index < len(self.attempts)
else ([], LLMError("script exhausted"))
)
self.request_args.append(
(list(messages), list(tools) if tools is not None else None)
)
return self._attempt(index, pieces, error)
async def _attempt(
self, index: int, pieces: list[StreamPiece | ToolCallPiece],
error: Exception | None,
) -> AsyncGenerator[StreamPiece | ToolCallPiece, None]:
try:
for piece in pieces:
yield piece
if error is not None:
raise error
finally:
self.closed.append(index)
def _record_sleeps(monkeypatch: pytest.MonkeyPatch) -> list[float]:
"""Monkeypatch ``asyncio.sleep`` (what ``chat_stream_retried`` awaits
for the flat pre-retry delay) and record every awaited delay."""
sleeps: list[float] = []
async def fake_sleep(seconds: float) -> None:
sleeps.append(seconds)
monkeypatch.setattr(asyncio, "sleep", fake_sleep)
return sleeps
def _collect_retried(
client: _ScriptedClient,
messages: list[dict[str, str]],
*,
tools: list[dict[str, Any]] | None = None,
retries: int,
delay: float,
) -> list[StreamPiece | ToolCallPiece | RetryPiece]:
async def run() -> list[StreamPiece | ToolCallPiece | RetryPiece]:
return [
p
async for p in chat_stream_retried(
client, messages, tools=tools, retries=retries, delay=delay
)
]
return asyncio.run(run())
def test_retried_retries_a_dead_attempt_before_the_first_piece(
monkeypatch: pytest.MonkeyPatch,
) -> None:
"""Failure on attempt 1, success on attempt 2 → [RetryPiece(2, N)]
(the attempt about to be tried, 1-based) then the answer pieces; the
request is restarted byte-identical and the flat delay is awaited
exactly once."""
answer: list[StreamPiece | ToolCallPiece] = [
StreamPiece("content", "A "),
StreamPiece("content", "B"),
]
client = _ScriptedClient([([], LLMError("connection refused")), (answer, None)])
sleeps = _record_sleeps(monkeypatch)
pieces = _collect_retried(client, _RETRY_MSGS, retries=3, delay=2.5)
assert pieces == [RetryPiece(2, 4), *answer]
assert len(client.request_args) == 2
# The restart is byte-identical: same messages, same (absent) tools.
assert client.request_args[0] == client.request_args[1]
assert client.request_args[0][1] is None
assert sleeps == [2.5]
def test_retried_exhaustion_yields_all_retries_then_raises(
monkeypatch: pytest.MonkeyPatch,
) -> None:
"""retries=2 → 3 attempts; each pre-first-piece failure yields a
RetryPiece naming the attempt about to be tried (attempts 2 and 3 of
3), the final failure raises the terminal LLMError, and no sleep
follows the last attempt."""
client = _ScriptedClient(
[([], LLMError("down 1")), ([], LLMError("down 2")), ([], LLMError("down 3"))]
)
sleeps = _record_sleeps(monkeypatch)
async def run() -> list[RetryPiece]:
out: list[RetryPiece] = []
with pytest.raises(LLMError, match="down 3"):
async for p in chat_stream_retried(
client, _RETRY_MSGS, retries=2, delay=0.5
):
assert isinstance(p, RetryPiece)
out.append(p)
return out
out = asyncio.run(run())
assert out == [RetryPiece(2, 3), RetryPiece(3, 3)]
assert len(client.request_args) == 3
assert sleeps == [0.5, 0.5]
def test_retried_failure_after_first_piece_is_terminal(
monkeypatch: pytest.MonkeyPatch,
) -> None:
"""Locked A2: a piece has already flowed → the LLMError is re-raised
immediately — no RetryPiece, no sleep, no second call (a partial
answer is never redone)."""
client = _ScriptedClient(
[([StreamPiece("content", "partial ")], LLMError("mid-stream drop"))],
)
sleeps = _record_sleeps(monkeypatch)
async def run() -> list[StreamPiece | ToolCallPiece | RetryPiece]:
out: list[StreamPiece | ToolCallPiece | RetryPiece] = []
with pytest.raises(LLMError, match="mid-stream drop"):
async for p in chat_stream_retried(
client, _RETRY_MSGS, retries=3, delay=5.0
):
out.append(p)
return out
out = asyncio.run(run())
assert out == [StreamPiece("content", "partial ")]
assert not any(isinstance(p, RetryPiece) for p in out)
assert len(client.request_args) == 1
assert sleeps == []
def test_retried_zero_retries_is_one_attempt_no_retry_pieces(
monkeypatch: pytest.MonkeyPatch,
) -> None:
"""The kill-switch path (retries=0): exactly one attempt, the error
propagates, no RetryPiece, no sleep — the pre-phase-67 behavior."""
client = _ScriptedClient([([], LLMError("connection refused"))])
sleeps = _record_sleeps(monkeypatch)
with pytest.raises(LLMError, match="connection refused"):
_collect_retried(client, _RETRY_MSGS, retries=0, delay=5.0)
assert len(client.request_args) == 1
assert sleeps == []
def test_retried_healthy_stream_is_untouched(
monkeypatch: pytest.MonkeyPatch,
) -> None:
"""No failure → exactly one attempt, every piece kind (thinking / tool
call / content) passes through unchanged, no RetryPiece, no sleep —
a healthy turn is byte-identical to the plain chat_stream."""
answer = [
StreamPiece("thinking", "hmm"),
ToolCallPiece(id="call_1", name="list_documents", arguments={}),
StreamPiece("content", "Talos."),
]
client = _ScriptedClient([(answer, None)])
sleeps = _record_sleeps(monkeypatch)
tools = [
{
"type": "function",
"function": {"name": "list_documents", "parameters": {}},
}
]
pieces = _collect_retried(
client, _RETRY_MSGS, tools=tools, retries=3, delay=5.0
)
assert pieces == answer
assert client.request_args == [(_RETRY_MSGS, tools)]
assert sleeps == []
def test_retried_zero_delay_still_notifies(monkeypatch: pytest.MonkeyPatch) -> None:
"""The e2e fast path (BOR_LLM_RETRY_DELAY=0): the RetryPiece is still
emitted and the (zero) sleep is still awaited."""
client = _ScriptedClient(
[([], LLMError("down")), ([StreamPiece("content", "ok")], None)]
)
sleeps = _record_sleeps(monkeypatch)
pieces = _collect_retried(client, _RETRY_MSGS, retries=1, delay=0)
assert pieces == [RetryPiece(2, 2), StreamPiece("content", "ok")]
assert sleeps == [0]
def test_retried_abandon_mid_attempt_closes_the_attempt_stream() -> None:
"""Consumer abandon at a mid-attempt piece (the stop-generation path,
phase 48): no exception leaks and the attempt's stream is torn down
through the wrapper's explicit close."""
client = _ScriptedClient(
[([StreamPiece("content", "A "), StreamPiece("content", "B ")], None)]
)
async def run() -> None:
gen = chat_stream_retried(client, _RETRY_MSGS, retries=3, delay=1.0)
first = await gen.__anext__()
assert first == StreamPiece("content", "A ")
await gen.aclose() # the consumer stops after the first piece
asyncio.run(run())
assert client.closed == [0] # attempt 1's stream was closed
assert len(client.request_args) == 1 # no second attempt
def test_retried_abandon_during_retry_sleep_leaks_nothing(
monkeypatch: pytest.MonkeyPatch,
) -> None:
"""Consumer abandon while the generator is parked in the pre-retry
sleep (client disconnect): the driving task is cancelled cleanly,
the phase-48 teardown ``aclose()`` on the generator does not raise,
and the retry never starts."""
entered = asyncio.Event()
async def parking_sleep(seconds: float) -> None:
entered.set()
await asyncio.Event().wait() # park until the abandon arrives
monkeypatch.setattr(asyncio, "sleep", parking_sleep)
client = _ScriptedClient(
[([], LLMError("endpoint down")), ([StreamPiece("content", "never")], None)]
)
async def run() -> None:
gen = chat_stream_retried(client, _RETRY_MSGS, retries=3, delay=1.5)
async def consumer() -> list[StreamPiece | ToolCallPiece | RetryPiece]:
return [p async for p in gen]
task = asyncio.ensure_future(consumer())
await entered.wait() # the generator is inside the pre-retry sleep
assert not task.done()
task.cancel() # client disconnect: the driving task is cancelled
with pytest.raises(asyncio.CancelledError):
await task
# Production teardown (phase 48 pattern): the endpoint's finally
# closes the stream generator — must not raise.
await gen.aclose()
asyncio.run(run())
assert len(client.request_args) == 1 # the retry never started
assert client.closed == [0] # attempt 1's stream was torn down
tests/unit/test_sse_events.py
+26 -1
View File
@@ -4,7 +4,12 @@ from __future__ import annotations
import json
from app.api.chat import sse_event
from app.schemas import ChatErrorEvent, ChatThinkingEvent, ChatToolEvent
from app.schemas import (
ChatErrorEvent,
ChatRetryEvent,
ChatThinkingEvent,
ChatToolEvent,
)
def _payload(frame: str) -> dict:
@@ -100,3 +105,23 @@ def test_tool_event_shape_is_type_name_argument_only() -> None:
dumped = ChatToolEvent(name="read_document", argument="S/p.md").model_dump()
assert set(dumped.keys()) == {"type", "name", "argument"}
assert dumped["type"] == "tool" # default — call sites never spell it out
def test_retry_frame_serializes_exactly() -> None:
"""Phase 67: the ``retry`` frame is exactly ``{type: "retry",
attempt: int, max_attempts: int}`` — a transient status the client's
readSSE handler branches on ("Communication interrupted — retrying
(n of N)…"), never an error. ``attempt`` is the attempt the server is
about to try next (1-based); the contract the frontend branch and the
E2E suite key off, locked here ahead of the JS implementation."""
frame = sse_event(ChatRetryEvent(attempt=2, max_attempts=4).model_dump())
assert frame == 'data: {"type": "retry", "attempt": 2, "max_attempts": 4}\n\n'
assert _payload(frame) == {"type": "retry", "attempt": 2, "max_attempts": 4}
def test_retry_event_shape_is_type_attempt_max_attempts_only() -> None:
dumped = ChatRetryEvent(attempt=2, max_attempts=4).model_dump()
assert set(dumped.keys()) == {"type", "attempt", "max_attempts"}
assert dumped["type"] == "retry" # default — call sites never spell it out
assert isinstance(dumped["attempt"], int)
assert isinstance(dumped["max_attempts"], int)