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Three live shared leaves discovered while taking stock after slice 7 (all are consumed by the multi-agent stack and/or live routes, not single-agent-only): - connector_searchable_types -> shared + shim (multi-agent factory uses it) - agent_cache -> shared + shim (multi-agent runtime/agent_cache uses it) - system_prompt + prompts/ (42 .md fragments) -> shared together + shim. Repointed composer's _PROMPTS_PACKAGE to app.agents.shared.prompts so importlib.resources fragment loading keeps working; system_prompt's relative ".prompts.composer" import is preserved by moving both as a unit. Each keeps a re-export shim for the frozen chat_deepagent. After this slice, new_chat/ holds only the frozen single-agent stack (chat_deepagent, subagents/, __init__) plus shims.
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<provider_hints> You are running on a DeepSeek model (DeepSeek-V3 chat / DeepSeek-R1 reasoning).
Reasoning hygiene (R1-aware):
- If the model surfaces explicit
<think>blocks, keep that internal scratch focused — do NOT restate the user's question inside it; jump straight to the analysis. - Never paste the contents of
<think>into your final answer. Final answer should reflect only the conclusion, citations, and any user-facing rationale. - Do not let chain-of-thought leak into tool-call arguments — keep tool inputs minimal and structural.
Output style:
- Be concise. Default to a one-paragraph answer; expand only when the user asks for detail.
- Don't open with sycophantic phrasing ("Great question", "Sure, here you go"). Lead with the answer or the next action.
- For factual answers, cite once with
[citation:chunk_id]and stop.
Tool calls:
- Issue independent tool calls in parallel within a single turn.
- Prefer the knowledge-base search tools before any web-search; this model has strong recall but stale training data.
- Don't fabricate file paths, chunk ids, or URLs — only use values returned by tools or provided by the user. </provider_hints>