chore(agent): track .agent/ planning tree in git
Remove the blanket .agent/ gitignore so the phase roadmap, user stories, reports, and PLAN.md are versioned with the code. Only runtime artifacts (.agent/phase-sessions/, .agent/pipeline.log) remain ignored. Update AGENTS.md git protocol rule to match.
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# Phase 11 — Long Answers (No Truncation)
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**Story:** `.agent/user_stories/long-answers.md`
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**Context:** owner report 2026-08-22 — "responses keep getting cut off.
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It should be allowed to respond up to 32768 tokens."
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## Goal
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Remove the hard 700-token output cap on chat answers; the model may
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respond up to **32 768** tokens (`BOR_MAX_OUTPUT_TOKENS`, default
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32 768).
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## Diagnosis
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`app/rag/llm.py::chat_stream` calls `chat.completions.create(...,
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max_tokens=700, ...)`. Long answers die mid-sentence at ~700 tokens.
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## Implementation steps
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1. **Config** (`app/config.py`): `max_output_tokens: int = 32_768` in the
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RAG-tuning section (env `BOR_MAX_OUTPUT_TOKENS`); document in
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`.env.example`.
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2. **LLM client** (`app/rag/llm.py`): `chat_stream` passes
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`max_tokens=self.settings.max_output_tokens`.
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3. **E2E mock** (`tests/e2e/mock_llm.py`):
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- Honor `max_tokens` deterministically: token ≈ whitespace word; if
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the composed answer is longer, truncate to the first N words.
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(With the old 700 cap a long answer loses its tail — the mock now
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behaves like the real endpoint.)
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- New trigger: user message containing `write a long answer` →
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deterministic ~4 000-word numbered answer ending in a unique final
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line (`LONG-ANSWER-END`).
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- No behavior change for existing (short) answers: they fit under any
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sane cap.
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4. **Tests:**
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- Unit: settings default + env override (`test_config.py`);
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`chat_stream` forwards the configured `max_tokens` (fake client in
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`test_llm_client.py`).
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- E2E: `tests/e2e/test_long_answers.py` per the story mapping.
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## Locked decisions
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None touched. A5 (aipi endpoint) unchanged; `turbo` accepts the larger
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cap per owner instruction.
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## Testing & Quality
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- Unit + integration green; `uv run pytest --cov=app --cov-report=term-missing`
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**>90%**; E2E in isolation:
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`uv run pytest tests/e2e/test_long_answers.py -v --no-cov`.
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- No regressions: `test_chat_rag.py` + `test_chat_api.py` green
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(short answers unaffected by the mock's new `max_tokens` honoring).
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## Commit
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```bash
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git add -A .agent/ app/ tests/ .env.example && git commit --no-gpg-sign -m "fix(rag): lift chat output cap to 32768 tokens — long answers no longer cut off"
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```
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