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docs(guides): file-size drift + FileItem/ContextPreset location drift

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- guide_ai_client.md: ~116KB -> ~166KB (src/ai_client.py actual size);
  '46 tools' clarified to '45 MCP tools + the PowerShell shell tool
  defined here in ai_client.py'.
- guide_gui_2.md: '~260KB, ~5400 lines' -> '~437KB, ~8970 lines
  (as of 2026-07-02)'.
- guide_context_curation.md: 'src/models.py:510 + :909' FileItem
  + ContextPreset line refs -> src/project_files.py +
  src/context_presets.py (per module_taxonomy_refactor_20260627).
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ed
2026-07-02 20:42:00 -04:00
parent 444ee13f7f
commit 524bff6eb9
3 changed files with 4 additions and 4 deletions
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docs/guide_ai_client.md
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@@ -6,7 +6,7 @@
## Overview
`src/ai_client.py` (~116KB) is the **unified LLM client** for 8 providers. It abstracts the differences between providers (Gemini, Anthropic, DeepSeek, MiniMax, Gemini CLI, Qwen, Grok, Llama) behind a single `send()` function.
`src/ai_client.py` (~166KB) is the **unified LLM client** for 8 providers. It abstracts the differences between providers (Gemini, Anthropic, DeepSeek, MiniMax, Gemini CLI, Qwen, Grok, Llama) behind a single `send()` function.
The module is a **stateful singleton** — all provider state is held in module-level globals. There is no class wrapping; the module itself is the abstraction layer.
@@ -510,7 +510,7 @@ print(r.data)
- **[guide_architecture.md](guide_architecture.md#ai-client-multi-provider-architecture)** — Threading model and provider dispatch
- **[guide_mma.md](guide_mma.md#tier-3-worker-lifecycle-run_worker_lifecycle)** — How Tier 3 workers use ai_client
- **[guide_mcp_client.md](guide_mcp_client.md)** — The 46 tools that ai_client can invoke (canonical list in `models.AGENT_TOOL_NAMES`)
- **[guide_mcp_client.md](guide_mcp_client.md)** — The 45 MCP tools (plus the PowerShell shell tool defined here in ai_client.py) that ai_client can invoke (canonical list in `models.AGENT_TOOL_NAMES`)
- **[guide_rag.md](guide_rag.md)** — RAG engine integration via `rag_engine` parameter
- **[guide_state_lifecycle.md](guide_state_lifecycle.md)** — The per-provider history globals (`_anthropic_history`, etc.) are managed here; their locking and reset behavior is documented
- **[guide_context_aggregation.md](guide_context_aggregation.md)** — The `aggregate.py` pipeline that produces the markdown the AI client sends