fix(llm): correct context sizing, honor think requests, broaden delete
Three related fixes uncovered while benchmarking qwen3:14b against 8b: - pick_num_ctx was only counting message content, missing the ~15K tokens of tool schemas. num_ctx=8192 was being selected while actual prompt_tokens hit 14K+, causing silent prompt truncation on every tool-using request. Now includes json.dumps(tools) in the estimate. KV cache priming in app.py and routes/settings.py also fetches tools so the primed num_ctx matches what real chat requests will use. - _should_think's heuristic classifier was overriding explicit think=true requests from the frontend toggle and MCP, gating on message length and regex patterns. Now a pass-through — the caller is the source of truth. quick_capture hardcodes think=False since it's a fast classification path that was relying on the old gating. - delete_note description only mentioned "note or task", so the model refused to call it for entries created by save_person / save_place / create_list. Description now explicitly lists all five note_types it handles. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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@@ -189,13 +189,16 @@ def create_app() -> Quart:
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"""
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try:
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from fabledassistant.services.llm import build_context, keep_alive_for, pick_num_ctx
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from fabledassistant.services.tools import get_tools_for_user
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messages, _ = await build_context(
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user_id=user_id,
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history=[],
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current_note_id=None,
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user_message=" ",
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)
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num_ctx = pick_num_ctx(messages)
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# Include tool schemas so num_ctx matches real chat requests.
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tools = await get_tools_for_user(user_id)
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num_ctx = pick_num_ctx(messages, tools=tools)
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async with httpx.AsyncClient(timeout=120.0) as client:
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await client.post(
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f"{Config.OLLAMA_URL}/api/chat",
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