docs: describe the document model for tool results

AGENTS.md, README, and /status now describe the request-prep cap and the
document tools (`read_document` / `search_document`). /status also shows the
storage ceiling.

Co-authored-by: CommandCodeBot <noreply@commandcode.ai>

AGENTS.md

@@ -86,12 +86,12 @@ Async SQLAlchemy + aiosqlite. `MemoryStore`: schema init (+ lightweight SQLite `
 - **Images** (see `doc/images.md`): a user turn's `content` may be a part array (`ChatTextPart` + `ChatImagePart`), and a tool result carries its pictures in `ToolChatMessage.images`; each surface lifts them into what it can express — chat-completions content blocks (tool-result images move into the user turn after the tool run, since a `tool` message holds text only), Anthropic `image` blocks (inside `tool_result` for a tool result), Responses `input_image` parts (in a `function_call_output` item). Pictures belong to user turns: an image in a system or assistant message is a provider 400. `agent/images.py` sniffs the format from the bytes and caps an inline picture at 8 MiB, because every round re-sends it; `[providers.*.models.*].image_in` is the opt-in, and every image-carrying path checks it — an `@path` mention, `view_image`, `fetch_local`'s image body, and (as a safety net in the registry) an MCP server's or plugin's `ToolOutput`.
 - **Provider-side tools**: `provider_tools` on the OpenAI **and** DeepSeek presets (list of dicts; `[{type="web_search"}]` when omitted; `[]` disables) threaded via `ChatAgent`/`run_chat_loop` into Responses and Messages; never executed by `ToolRegistry`. The Messages surface declares its own server tool instead — a bare `web_search` becomes `{type="web_search_20250305", name="web_search"}` (the search then runs inside the response, and its `encrypted_content` results go back verbatim with the round — `AssistantChatMessage.provider_blocks`) — and a DeepSeek provider on a surface that ignores hosted tools (`config.routing.local_web_search`) gets the local `web_search` tool from `tools/net/search.py` instead.
 - **`@tool` / `ToolRegistry`**: decorator infers JSON Schema from type hints; execute tools by name. A handler returns its text, or a `ToolOutput(text, images)` when it also produced a picture: `execute` keeps the text-only contract and `execute_output` returns the pair, which `run_chat_loop` stores as the tool message's text plus its `images` (`view_image`, an image body from `fetch_local`, and an MCP `image` content block all take that path). 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; request-prep tool-result cap (each result stored whole, trimmed on the request copy with a `document_id=...` marker); 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.
 - **`/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`).
 - 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` (wire cap; the request-prep pass trims a longer tool result to its head plus a `document_id=...` marker), `hard_max_tool_result_chars` (default 2,000,000: storage ceiling for one result kept whole in its message; a result above it is cut on store and has no document), `parallel_tools`, `confirm_destructive`, `path_denylist`, `max_context_tokens` (default 200k est. tokens).
 
 ### Tools (`tools/`)
 
@@ -99,7 +99,7 @@ Module-level `@tool` handlers. Call `set_workspace_root()` before use.
 
 - **`workspace`**: path resolve under primary root **or** temporary allowlist roots **or** a directory-access grant (mode-aware: `read` < `write` < `exec`, default required `write`; a file grant matches only that file); path substring denylist (wins over grants); command denylist via `match_command_denylist` (checks every program of the wrapper/`run` chain, resolved by `tools/command_scan.py`; an entry is a program, plus optional argument words that make it dangerous — `systemctl reboot poweroff …` matches `systemctl reboot` and `systemctl start reboot.target`, not `systemctl status`; basenames are lower-cased, so `RM` / `rm.exe` count; defaults cover privilege `sudo`/`su`/`doas`/`pkexec`/`run0`/`systemd-run`, destructive `rm`/`mkfs`/`dd`/`chown`/`mount`/…, and power state `shutdown`/`reboot`/`poweroff`/`halt`/`init`/`telinit`/`kexec`/`pm-*`/`s2*`; CLI: timed human allow override, default deny on timeout; **not** skipped by YOLO); escape error names the `request_directory_access` mode the call needs (`call request_directory_access with mode='write'`).
 - **`access`** (`tools/access.py`): `request_directory_access` (LOCAL|INSTANCE|SESSION) asks the host hook for out-of-workspace access; grants are one `path → mode` pair in one of three stores — `WorkspacePolicy.config_allow` (static `[agent].allow_paths`), `SessionState.access_grants` (human-approved, persisted on the session row), `WorkspacePolicy.yolo_allow` (`--yes`/`/yolo`, process only). `AccessDecision(mode, persist)` from the hook; denylisted paths can never be granted; cap `MAX_ACCESS_GRANTS`. Not a sandbox: `exec` grants (and any command) reach the whole FS.
-- **`file`**: `read_file` (`with_lineno`, `max_chars` default 32k; results start with a 1-based `L{begin}-{end}` range; an image file is refused with a pointer to `view_image`), `view_image` (a picture reaches the model as an image part; format sniffed from the bytes, `detail` = `auto` default / `low` / `high` / `original`), `write_file` (refuses to replace an existing file unless `overwrite=true`; that replacement is the one soft-confirmed), `listdir`, `tree` (model picks `format=markdown` default / `flat` paths / `decorated`; VCS + default noise dirs + optional `skip_dirs` / denylist walk), `glob_paths`, `regex_files` (Python `re` per line, not a glob; literal file/dir `path`, no glob expansion; skips VCS/binary), `edit_replace` (`max_replaces`, reports remaining matches), `edit_lineno` (1-based range; only lines read via `with_lineno`; read state resets on any file write/edit/copy/move/delete), `copy_path` / `move_path` / `delete_path` (moves the path into the system trash — freedesktop trash / Finder trash / Recycle Bin — so a delete can be undone; `permanent=true`, `[trash] enabled = false`, or a path under the OS temp dir delete it for good, and a trashing that fails reports the reason and leaves the path alone; [doc/trash.md](doc/trash.md)), `new_temporary_workspace` (system temp allowlist; cleanup on chat exit; no session rebind), `get_truncated` (resume any truncated result via its `truncate_token=...`).
+- **`file`**: `read_file` (`with_lineno`, `max_chars` default 32k; results start with a 1-based `L{begin}-{end}` range; an image file is refused with a pointer to `view_image`), `view_image` (a picture reaches the model as an image part; format sniffed from the bytes, `detail` = `auto` default / `low` / `high` / `original`), `write_file` (refuses to replace an existing file unless `overwrite=true`; that replacement is the one soft-confirmed), `listdir`, `tree` (model picks `format=markdown` default / `flat` paths / `decorated`; VCS + default noise dirs + optional `skip_dirs` / denylist walk), `glob_paths`, `regex_files` (Python `re` per line, not a glob; literal file/dir `path`, no glob expansion; skips VCS/binary), `edit_replace` (`max_replaces`, reports remaining matches), `edit_lineno` (1-based range; only lines read via `with_lineno`; read state resets on any file write/edit/copy/move/delete), `copy_path` / `move_path` / `delete_path` (moves the path into the system trash — freedesktop trash / Finder trash / Recycle Bin — so a delete can be undone; `permanent=true`, `[trash] enabled = false`, or a path under the OS temp dir delete it for good, and a trashing that fails reports the reason and leaves the path alone; [doc/trash.md](doc/trash.md)), `new_temporary_workspace` (system temp allowlist; cleanup on chat exit; no session rebind), `get_truncated` (resume a truncated `read_file` slice or `@path` mention via its `truncate_token=...`), `read_document` / `search_document` (read a capped tool result by its `document_id`: a line window with optional line numbers, or a per-line regex), `document_info` / `list_documents` (describe or list the session's documents).
 - **`process`**: `run_argv` (argv, no shell, timeout, optional stdin/env); `run_argv_batch` (serial steps, `pipe_out` on provider, `mix_stderr`, `stop_on_error`); PTY `open_pty` / `read_pty` / `write_pty` (literal) / `write_pty_keys` (key markers) / `ask_into_pty` (human→PTY only; `secret` no-echo; answer never in tool result) / `close_pty` (POSIX: `pty`+`fork`; Windows: ConPTY via `pywinpty` env marker dep).
 - PTY: backend in `pty_backend.py`; structured status (`alive`/`exit_code`/`data`); `read_pty(..., until=)` (**CSI sanitized** so host TTY is never reset); keys via `write_pty_keys` only (`<c-c>`, `<esc>`, `<c-up>`, `<c-s-f5>`, `<up*3>`, `<m-x>`, `\xHH` — xterm modifier sequences where they exist; an unknown `<…>` is an error, never typed); secrets via `ask_into_pty` (not `write_pty` data); session limit/idle TTL/output budget; close terminate→kill.
 - CLI limit hooks: interactive confirm to raise tool-loop rounds, PTY session cap, or PTY output budget. The prompt accepts `y`/empty (once), `n`, or `yyy` = stop asking for the rest of the turn (`cli.limits` module flag, reset by `run_turn_with_retries`, `/btw`, session switches, and chat exit). `--auto-continue` / `[agent] auto_continue_limits` set the process-wide default (covers one-shot/PTY); the flag does not imply YOLO and vice versa.
@@ -107,11 +107,11 @@ Module-level `@tool` handlers. Call `set_workspace_root()` before use.
 - **`vcs`**: read-only VCS tools (`vcs_kind` / `vcs_status` / `vcs_diff` / `vcs_log` / `vcs_branch`) via `VcsBackend` protocol; **git** implemented; detectors are pluggable for other systems.
 - **`chat`**: human prompts as tools — `ask_user_line` / `ask_user_choice` / `ask_user_form` (shared `prompting` core); `wait` (line prompt with timeout; Enter disturbs). Container args are shape-checked (`tools/chat/shape.py`): a mis-typed string `options`/`fields` (or a non-string `question`) returns an explained error — `options="a, b"` used to iterate characters into a per-character menu. `wait`'s `duration` accepts numeric strings (`"5"` = 5s) and rejects booleans/text/containers.
 - **`todo`**: LIFO stack of **task groups** (not a queue of tasks) — `todo_push` creates one group of siblings; `todo_pop` removes the whole top group; `todo_update` by the number a listing shows (render order, TOP group first; the stored `id` stays internal); DFS breakdown push[T1,T2]→push[T1.1…]→pop→push[T2.1…]; stored on session row; open items = unfinished work (`[TODO OPEN WORK]`); all-terminal non-empty = hygiene (`[TODO HYGIENE]`); nag channel via `[agent] todo_nag_strategy` (`developer`/`user` = prose nag; `synthetic_tool` = forged `todo_list` call + **real** `stack.render()` result + ToolCall/Result events; `none`).
-- **`net` / `fetch_local` and `fetch`**: `fetch_local` is the raw HTTP client (GET/POST/PUT/DELETE) via niquests (isolated session, not the LLM client). Manual redirects with per-hop SSRF checks (`asyncio` `getaddrinfo`). Private/loopback hosts need instance policy grant (CLI timed confirm; **not** YOLO). Public cleartext HTTP and mutating methods soft-confirm (`YOLO`/`TRUSTABLE`). HTTPS→HTTP redirects blocked unless `allow_http_downgrade`. `user_agent` tool arg (or headers) is never replaced by the default when provided. Caps: body bytes/chars, request body size. `fetch` is the remote read-only counterpart, built by the CLI host only for a DeepSeek provider: `POST /v1/tools/fetch` (`lmproto/deepseek/webtools/`) returns a title and Markdown content, billed per successful request (5 QPS, plus a per-domain limit). It does **not** run the local SSRF check — the request leaves from DeepSeek's network, so local/LAN targets are unreachable there (the endpoint answers 403/404) — and never falls back to `fetch_local` on its own. Its body remainder also lives in the memory store, so `get_truncated` resumes without another charge. Both are `READ_ONLY`; `fetch_local` enforces GET-only in a read-only context.
+- **`net` / `fetch_local` and `fetch`**: `fetch_local` is the raw HTTP client (GET/POST/PUT/DELETE) via niquests (isolated session, not the LLM client). Manual redirects with per-hop SSRF checks (`asyncio` `getaddrinfo`). Private/loopback hosts need instance policy grant (CLI timed confirm; **not** YOLO). Public cleartext HTTP and mutating methods soft-confirm (`YOLO`/`TRUSTABLE`). HTTPS→HTTP redirects blocked unless `allow_http_downgrade`. `user_agent` tool arg (or headers) is never replaced by the default when provided. Caps: body bytes, request body size. `fetch` is the remote read-only counterpart, built by the CLI host only for a DeepSeek provider: `POST /v1/tools/fetch` (`lmproto/deepseek/webtools/`) returns a title and Markdown content, billed per successful request (5 QPS, plus a per-domain limit). It does **not** run the local SSRF check — the request leaves from DeepSeek's network, so local/LAN targets are unreachable there (the endpoint answers 403/404) — and never falls back to `fetch_local` on its own. Its body is stored whole in the tool message, so a trimmed `document_id` reads the rest with no new request and no new charge. Both are `READ_ONLY`; `fetch_local` enforces GET-only in a read-only context.
 - **`net` / `web_search`** (`tools/net/search.py`, `tools/net/bing.py`): the search a DeepSeek provider cannot host, as a local tool. `build_web_search_tool(backends)` closes over the sources named by `provider.search_sources` and asks them **in fallback order** (`search_in_order`): `DeepseekSearchBackend` (one `POST /v1/tools/search` through `lmproto/deepseek/webtools/`, no model round — `deepseek_api_base_url` drops the convention's `/anthropic` and any `/v1` before the client appends its path; 408/429/5xx are retried 0.5s/1.0s, 402 and other 4xx are not) and/or `BingSearchBackend` (Bing's RSS results, snippets included, fetched through the same client as `fetch_local`; opt in with `search_sources = ["deepseek", "bing"]` — the default is `["deepseek"]`). Hits are `SearchHit` from `lmproto/search.py` (DeepSeek's `snippet`, else its `summary` cut to 200 chars); the handler returns one `title — url` entry per hit (plus the snippet when the source has one), and a source that raises or finds nothing is skipped and reported only if every source fails. Registered by the CLI host only when `config.routing.local_web_search` says so: a DeepSeek provider with a non-empty `search_sources`, unless the Anthropic convention already hosts the search (`convention = "anthropic"` **and** `provider_tools` ask for `web_search`) — so `provider_tools = []` brings the local tool back on that surface too. `provider_tools` owns the hosted tool, `search_sources` owns this one. Tags LOCAL|READ_ONLY.
 - **`mcp`** (`tools/mcp.py`): register one server's advertised tools into the catalog as namespaced `mcp__<server>__<tool>` definitions with `ToolSource(kind="mcp", plugin_id=server)`; tags LOCAL (+ READ_ONLY when the server config sets `read_only`) — never YOLO/TRUSTABLE. `register_mcp_tools` purges prior MCP entries then re-registers every connected server (hosts call it on tool-registry rebuild); connections must already be started by `McpManager`.
 - **`skills`** (`tools/skills.py`): discovery, reading, and writing of skill directories (`plyngent.skills` owns roots, the `SKILL.md` frontmatter subset, the uncached store, and the inside-the-skill path rule). `skill_list` (names, source root, directory, description, shadowed copies, frontmatter notes), `skill_read` (a `SKILL.md` by name, or one bundled file — reuses `read_file` for ranges/line numbers/`truncate_token`), `skill_search` (regex over every visible skill via `regex_files`, hits rebased on `<skill>/<file>`), `skill_create` (new `SKILL.md` + optional `files`), `skill_edit` (replace / `append` / rewrite one file; a rewritten `SKILL.md` is re-parsed and notes a lost description). Reads need no grant (the host publishes the roots as `WorkspacePolicy.static_read`, so `read_file`/`regex_files` see them while writes stay denied); writes go through **`SkillWritePolicy`** on the instance — denylist first, then `SessionState.skill_write_roots` (a `session` answer), then `[skills].allow_write`, then the host's confirm hook (CLI `prompt_skill_write_confirm`: `o`nce/`s`ession/`n`o, timed, default deny, **not** skipped by YOLO); a host with no hook denies. Grants are per **skill directory**; `[skills].enabled = false` drops the tools from the registry (`SKILL_TOOL_NAMES`).
-- **`DEFAULT_TOOLS` / catalog**: access + file + process + vcs + chat + todo + skills + net (`fetch_local`) for local surface. `ToolTag.READ_ONLY` marks non-mutating tools (`read_file`, `view_image`, `get_truncated`, `listdir`, `glob_paths`, `regex_files`, `tree`, `todo_list`, `wait`, `ask_user_*`, `vcs_*`, `skill_list`/`skill_read`/`skill_search`, `fetch`, `fetch_local`); `ToolRegistry.clone(read_only_only=True)` selects just those for safe side turns / planning, and `read_only_context()` (in `tools/context.py`) makes `fetch_local` accept GET only.
+- **`DEFAULT_TOOLS` / catalog**: access + file + process + vcs + chat + todo + skills + net (`fetch_local`) for local surface. `ToolTag.READ_ONLY` marks non-mutating tools (`read_file`, `view_image`, `get_truncated`, `read_document`/`search_document`/`document_info`/`list_documents`, `listdir`, `glob_paths`, `regex_files`, `tree`, `todo_list`, `wait`, `ask_user_*`, `vcs_*`, `skill_list`/`skill_read`/`skill_search`, `fetch`, `fetch_local`); `ToolRegistry.clone(read_only_only=True)` selects just those for safe side turns / planning, and `read_only_context()` (in `tools/context.py`) makes `fetch_local` accept GET only.
 
 ### Prompting (`prompting.py`)
 

README.md

@@ -344,7 +344,7 @@ Ctrl+C cancels the in-flight turn, and during the auto-retry countdown it cancel
 
 ## Tools (when enabled)
 
-Default registry: file ops (including `tree` with a markdown bullet-list default, `flat` paths or classic `decorated` on demand; default noise-dir skips), `run_argv` / `run_argv_batch` / PTY (POSIX openpty; Windows ConPTY via pywinpty), read-only VCS (git), HTTP `fetch_local` (GET/POST/PUT/DELETE via niquests; private/loopback hosts need a human policy grant, not YOLO) plus `fetch` on DeepSeek providers (public pages as Markdown through the provider's Fetch API), human prompts (`ask_user_line` / `ask_user_choice` / `ask_user_form`), `wait` (line prompt with timeout; Enter disturbs), `request_directory_access` (out-of-workspace access grants), `get_truncated` (resume any truncated result via its `truncate_token=...`), skills (`skill_list` / `skill_read` / `skill_search` / `skill_create` / `skill_edit`), and todo stack tools (`todo_list` / `todo_push` / `todo_pop` / `todo_update` / `todo_clear`).
+Default registry: file ops (including `tree` with a markdown bullet-list default, `flat` paths or classic `decorated` on demand; default noise-dir skips), `run_argv` / `run_argv_batch` / PTY (POSIX openpty; Windows ConPTY via pywinpty), read-only VCS (git), HTTP `fetch_local` (GET/POST/PUT/DELETE via niquests; private/loopback hosts need a human policy grant, not YOLO) plus `fetch` on DeepSeek providers (public pages as Markdown through the provider's Fetch API), human prompts (`ask_user_line` / `ask_user_choice` / `ask_user_form`), `wait` (line prompt with timeout; Enter disturbs), `request_directory_access` (out-of-workspace access grants), `get_truncated` (resume a truncated file read or `@path` mention via its `truncate_token=...`), documents (`read_document` / `search_document` / `document_info` / `list_documents` — read or search a capped tool result by its `document_id`), skills (`skill_list` / `skill_read` / `skill_search` / `skill_create` / `skill_edit`), and todo stack tools (`todo_list` / `todo_push` / `todo_pop` / `todo_update` / `todo_clear`).
 
 **Skills** are instruction directories shared with other harnesses: a folder with a `SKILL.md` (YAML frontmatter — `name`, `description`, … — plus a Markdown body) and optional bundled files (scripts, references). Discovery, roots, grants, and the authoring format are documented in [doc/skills.md](doc/skills.md); the short version is that a session-start notice points the model at them (`skill_list` / `skill_read` / `skill_search`) without listing anything, so what exists (and the bodies) is read on demand rather than injected, and writing a skill is a separate grant (a timed `once`/`session`/`no` prompt, or `[skills].allow_write`) that is **not** a directory-access grant and is never skipped by YOLO.
 

src/plyngent/cli/slash.py

@@ -575,7 +575,8 @@ def status_cmd(state: ReplState) -> None:
         f"yolo={state.effective_yolo()}\n"
         f"context_tokens={ctx_tilde}{ctx_tokens}/{ctx_budget} ({ctx_tag})  "
         f"context_chars={ctx_chars}  "
-        f"tool_result_max={state.agent.max_tool_result_chars}\n"
+        f"tool_result_max={state.agent.max_tool_result_chars}  "
+        f"tool_result_store_max={state.agent.hard_max_tool_result_chars}\n"
         f"peak_prompt_tokens={state.agent.peak_prompt_tokens}  "
         f"reminder_band={state.agent.reminder_last_band}  "
         f"reminder_every={state.agent.directive_reminder_tokens or 'off'}\n"

tests/test_config/test_agent_section.py

@@ -23,6 +23,7 @@ def test_agent_section_defaults(tmp_path: Path) -> None:
     assert "professional coding agent" in store.agent_config.system_prompt
     assert "### Workspace" in store.agent_config.tool_directives
     assert store.agent_config.max_tool_result_chars == 32_000
+    assert store.agent_config.hard_max_tool_result_chars == 2_000_000
     assert store.agent_config.parallel_tools is True
     assert store.agent_config.confirm_destructive is True
     assert store.agent_config.path_denylist == []