docs: describe the compact summarizer tool notice

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2026-10-17 17:13:49 +08:00
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@@ -83,7 +83,7 @@ Async SQLAlchemy + aiosqlite. `MemoryStore`: schema init (+ lightweight SQLite `
- **`@tool` / `ToolRegistry`**: decorator infers JSON Schema from type hints; execute tools by name. Before running, `execute` answers a call that omits a required argument with the accepted names (`_missing_required_error`) — the handler's bare `TypeError` never reaches the model, and no confirm prompt fires for a call that cannot run. Shape mistakes inside a *present* argument are the tool's own job (see the `chat` bullet). `@tool(writes=("path",))` names a handler's file arguments: one batch applies calls that name the same file one at a time, in call order — the lock is taken before the confirm prompt, so a pending prompt cannot be overtaken — while different files keep running in parallel. - **`@tool` / `ToolRegistry`**: decorator infers JSON Schema from type hints; execute tools by name. Before running, `execute` answers a call that omits a required argument with the accepted names (`_missing_required_error`) — the handler's bare `TypeError` never reaches the model, and no confirm prompt fires for a call that cannot run. Shape mistakes inside a *present* argument are the tool's own job (see the `chat` bullet). `@tool(writes=("path",))` names a handler's file arguments: one batch applies calls that name the same file one at a time, in call order — the lock is taken before the confirm prompt, so a pending prompt cannot be overtaken — while different files keep running in parallel.
- **`run_chat_loop`**: multi-round tool loop; default **streaming** text deltas + stream tool-call merge; parallel tools; tool-result char budget; soft context compact on request (**API-calibrated** after first usage when available); cooperative cancel points; optional `on_limit`; resolved `reasoning_effort` on every request (see Config). A round the provider cut off at the output limit is kept, not failed: the answer and its thinking blocks stay in `messages`, the round's tool calls are dropped (a half-written call must not run — the model re-issues it), and up to `max_truncation_continues` (2) further rounds carry on from a truncation notice; 0 spends the turn as unfinished instead, for `/retry`. - **`run_chat_loop`**: multi-round tool loop; default **streaming** text deltas + stream tool-call merge; parallel tools; tool-result char budget; soft context compact on request (**API-calibrated** after first usage when available); cooperative cancel points; optional `on_limit`; resolved `reasoning_effort` on every request (see Config). A round the provider cut off at the output limit is kept, not failed: the answer and its thinking blocks stay in `messages`, the round's tool calls are dropped (a half-written call must not run — the model re-issues it), and up to `max_truncation_continues` (2) further rounds carry on from a truncation notice; 0 spends the turn as unfinished instead, for `/retry`.
- **`ChatAgent`**: optional `MemoryStore` (user message persisted immediately; **completed tool batches checkpointed** mid-turn; unfinished assistant suffix rolled back on failure); `stream`; system prompt; `provider_tools`; `retry()` continues incomplete turns (user-only, after committed tools — does not re-run those tools — or after a kept truncated answer) and `pending_retry_text` reads a truncation notice as unfinished work. - **`ChatAgent`**: optional `MemoryStore` (user message persisted immediately; **completed tool batches checkpointed** mid-turn; unfinished assistant suffix rolled back on failure); `stream`; system prompt; `provider_tools`; `retry()` continues incomplete turns (user-only, after committed tools — does not re-run those tools — or after a kept truncated answer) and `pending_retry_text` reads a truncation notice as unfinished work.
- **`/compact`**: soft-compact tool dumps → model summary (no tools) via the same kind dispatch → **new** session seeded with summary message. Soft-compact keeps the last **12** tool results full-size by default (`DEFAULT_RECENT_TOOL_RESULTS`); older tool payloads shrink first. - **`/compact`**: soft-compact tool dumps → model summary (no tools) via the same kind dispatch → **new** session seeded with summary message. Soft-compact keeps the last **12** tool results full-size by default (`DEFAULT_RECENT_TOOL_RESULTS`); older tool payloads shrink first. The default summarizer system prompt states that tool calls are unavailable (a `compact_system_prompt` override replaces that default wholesale).
- Events: text_delta, **reasoning_delta**, assistant_message, tool_call/result, max_rounds, **truncated** (`kept_chars`/`continued`), **error** (`retryable`/`source`), **cancelled** (`reason`), **usage** (`TokenUsage`). - Events: text_delta, **reasoning_delta**, assistant_message, tool_call/result, max_rounds, **truncated** (`kept_chars`/`continued`), **error** (`retryable`/`source`), **cancelled** (`reason`), **usage** (`TokenUsage`).
- Usage: API `usage` from completions (stream with `include_usage`); **char≈token fallback** (~4 chars/token) when omitted; **context size** = last request ``prompt_tokens`` (API preferred); `last_turn_usage` / `session_usage` are **billed sums** (tool rounds re-send history); CLI end-of-turn + `/status`. - Usage: API `usage` from completions (stream with `include_usage`); **char≈token fallback** (~4 chars/token) when omitted; **context size** = last request ``prompt_tokens`` (API preferred); `last_turn_usage` / `session_usage` are **billed sums** (tool rounds re-send history); CLI end-of-turn + `/status`.
- Config ``[agent]``: `system_prompt` (persona; default `DEFAULT_SYSTEM_PROMPT`; `""` omits persona), `tool_directives` (tool playbook; default `DEFAULT_TOOL_DIRECTIVES`; `""` omits playbook; both empty → no system), `mcp_instructions` (fold connected MCP servers' initialize ``instructions`` into the system prompt when tools on; default true), `allow_paths` (static out-of-workspace pre-allow `path → read|write|exec`; never prompts), `auto_continue_limits` (auto-raise tool/PTY limits without prompting; default false), `reasoning_effort` / `thinking_budget_tokens` (thinking strength; see Config), `max_tool_result_chars`, `parallel_tools`, `confirm_destructive`, `path_denylist`, `max_context_tokens` (default 200k est. tokens). Truncated tool results carry a model hint (`[Truncated (N chars max; M omitted). You may ask for user to increase the limit via configuration file.]`) so the model can ask the user to raise `max_tool_result_chars`; request-time compact shrinks (`hint=False`) keep the terse `...[truncated N characters]` marker. - Config ``[agent]``: `system_prompt` (persona; default `DEFAULT_SYSTEM_PROMPT`; `""` omits persona), `tool_directives` (tool playbook; default `DEFAULT_TOOL_DIRECTIVES`; `""` omits playbook; both empty → no system), `mcp_instructions` (fold connected MCP servers' initialize ``instructions`` into the system prompt when tools on; default true), `allow_paths` (static out-of-workspace pre-allow `path → read|write|exec`; never prompts), `auto_continue_limits` (auto-raise tool/PTY limits without prompting; default false), `reasoning_effort` / `thinking_budget_tokens` (thinking strength; see Config), `max_tool_result_chars`, `parallel_tools`, `confirm_destructive`, `path_denylist`, `max_context_tokens` (default 200k est. tokens). Truncated tool results carry a model hint (`[Truncated (N chars max; M omitted). You may ask for user to increase the limit via configuration file.]`) so the model can ask the user to raise `max_tool_result_chars`; request-time compact shrinks (`hint=False`) keep the terse `...[truncated N characters]` marker.