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274 lines
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274 lines
13 KiB
Text
---
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title: "Tools"
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description: "Built-in tools for file I/O, shell commands, search, and web access"
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---
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Every agent in Fabro has access to a set of built-in tools for interacting with the codebase and environment. Tools execute inside the agent's [sandbox](/execution/environments) — whether that's the local machine, a Docker container, or a Daytona VM — so the same tool calls work identically regardless of provider.
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<Note>
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The tools described on this page apply to the **API backend** (the default). When using the [ACP backend](/core-concepts/agents#acp-backend), the external agent process provides its own tools — Fabro's built-in tools are not used.
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</Note>
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## Core tools
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These tools are registered for every provider profile:
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| Tool | Category | Description |
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|---|---|---|
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| `shell` | shell | Run commands as Bash source via `bash -c` |
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| `read_file` | read | Read file contents with optional offset and limit |
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| `write_file` | write | Create or overwrite a file |
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| `grep` | read | Search file contents with regex patterns |
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| `glob` | read | Find files by name pattern |
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| `web_search` | shell | Search the web via Brave or Venice |
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| `web_fetch` | shell | Fetch and optionally summarize a URL |
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## Provider-specific tools
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Some tools are only available with certain LLM providers:
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| Tool | Providers | Description |
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|---|---|---|
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| `edit_file` | Anthropic, Gemini | Replace a string in a file (find-and-replace) |
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| `apply_patch` | OpenAI | Apply a v4a-format patch to modify files |
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| `update_plan` | OpenAI | Maintain a multi-step plan for the current task |
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| `TaskCreate`, `TaskUpdate`, `TaskGet`, `TaskList` | Anthropic | Maintain a shared task list for the root agent session |
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| `read_many_files` | Gemini | Read multiple files in a single call |
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| `list_dir` | Gemini | List directory contents with depth control |
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## Tool reference
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### shell
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Executes the command as Bash source in the sandbox's working directory, equivalent to `bash -c <command>`. The shell is not a login shell, and Fabro adds no shell options of its own — no `errexit`, no `pipefail`. Docker and Daytona sandboxes require `/bin/bash`; local sandboxes resolve `bash` through the worker's `PATH`.
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To run something under a different interpreter, say so in the command itself (`sh -c ...`, a script with a `#!/bin/sh` shebang, or an explicit `set -o pipefail`); those run beneath Fabro's Bash boundary.
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| Parameter | Type | Required | Description |
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| `command` | string | yes | Bash source to evaluate |
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| `timeout_ms` | integer | no | Timeout in milliseconds |
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| `description` | string | no | Description of what the command does |
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The timeout defaults to the provider's configured value (10s for most providers, 120s for Anthropic) and is capped at the maximum (600s / 10 minutes). If the command exceeds the timeout, Fabro kills the process and returns a "Command timed out" message along with any output captured so far.
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The output includes the exit code, stdout, and stderr.
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### read_file
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Reads a file and returns its contents with line numbers.
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| Parameter | Type | Required | Description |
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| `file_path` | string | yes | Absolute path to the file |
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| `offset` | integer | no | 1-based line number to start reading from |
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| `limit` | integer | no | Number of lines to read (default: 2000) |
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Output is formatted with line numbers (e.g. ` 1 | fn main() {`), making it easy for agents to reference specific lines when editing.
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### write_file
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Creates or overwrites a file.
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| Parameter | Type | Required | Description |
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| `file_path` | string | yes | Absolute path to the file |
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| `content` | string | yes | Content to write |
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<Note>
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`write_file` replaces the entire file. For changes to an existing file, prefer `edit_file`, which only replaces the string you name.
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</Note>
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### edit_file
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Replaces a string in an existing file. Available for Anthropic and Gemini providers.
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| Parameter | Type | Required | Description |
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| `file_path` | string | yes | Absolute path to the file |
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| `old_string` | string | yes | The string to find |
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| `new_string` | string | yes | The replacement string |
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| `replace_all` | boolean | no | Replace all occurrences (default: false) |
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If `old_string` is not found, the tool returns an error. If multiple occurrences exist and `replace_all` is false, the tool returns an error asking for more context or to set `replace_all`.
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Because `old_string` must match the file exactly, an edit built from a stale or remembered version of the file fails rather than silently applying somewhere unintended.
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### grep
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Searches file contents with a regex pattern. The sandbox uses ripgrep when `rg` is on the path and falls back to POSIX `grep` otherwise, detected once and cached per sandbox. Keep patterns portable across both rather than relying on ripgrep-only syntax.
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| Parameter | Type | Required | Description |
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| `pattern` | string | yes | Regex pattern to search for |
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| `path` | string | no | Path to search in (default: `.`) |
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| `glob_filter` | string | no | Glob pattern to filter which files are searched |
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| `case_insensitive` | boolean | no | Case-insensitive search (default: false) |
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| `max_results` | integer | no | Maximum number of results |
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Results are returned as `file:line:content` lines.
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### glob
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Finds files matching a glob pattern.
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| Parameter | Type | Required | Description |
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| `pattern` | string | yes | Glob pattern to match files (e.g. `**/*.rs`) |
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| `path` | string | no | Directory to search in (default: working directory) |
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Returns matching file paths, one per line, sorted lexicographically by their path relative to the search root.
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Patterns are case-sensitive and relative to `path`: `*` and `?` stay within one path segment, bracket expressions such as `[abc]` match one character, and `**` crosses directories when used as a complete segment. Leading dots are matched normally. For example, `*.rs` searches only the root of `path`, and `**/*.rs` searches recursively. Patterns must use `/`, be relative, and cannot contain a backslash or `..` segment.
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### web_search
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Searches the web using Brave Search or Venice Search. Fabro selects the backend automatically from the available credentials.
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| Parameter | Type | Required | Description |
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| `query` | string | yes | Search query. Venice rejects queries longer than 400 characters before the HTTP call. |
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| `max_results` | integer | no | Maximum results (default: 5, max: 20) |
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Fabro uses direct [Brave Search](/integrations/brave-search) when `BRAVE_SEARCH_API_KEY` is present. Otherwise it uses [Venice Search](/integrations/venice-search) when `VENICE_API_KEY` is present. If both credentials are present, Brave wins. Venice always uses its Brave search engine.
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Runs read both keys from the server vault. Workers start from a cleared environment, so exporting a key in the server's shell has no effect. The standalone agent CLI reads the keys from the invoking shell instead.
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The tool is registered when either credential is available. Once Fabro selects a backend, a failed call returns an error; it does not retry through the other backend. Results contain numbered titles, URLs, and descriptions. Venice includes `date` on a fourth line when present.
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### web_fetch
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Fetches content from a URL and optionally summarizes it with an LLM.
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| Parameter | Type | Required | Description |
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| `url` | string | yes | URL to fetch (must be `http://` or `https://`) |
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| `prompt` | string | no | A question about the page content; returns a concise answer instead of the full page |
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| `timeout_ms` | integer | no | Timeout in milliseconds (default: 30000, max: 60000) |
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HTML content is automatically converted to Markdown (with script and style tags stripped). Output is capped at 100KB. When a `prompt` is provided and a summarizer model is configured, the fetched content is passed to a lightweight LLM call that returns a concise answer.
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### apply_patch
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Applies a v4a-format patch to create, update, or delete files. Available for OpenAI providers.
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| Parameter | Type | Required | Description |
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| `patch` | string | yes | Patch content in v4a format |
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The v4a format uses `*** Begin Patch` / `*** End Patch` delimiters with `*** Add File:`, `*** Delete File:`, and `*** Update File:` operations.
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### read_many_files
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Reads multiple files in a single tool call. Available for Gemini.
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| Parameter | Type | Required | Description |
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| `paths` | string[] | yes | Array of absolute file paths |
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Returns each file's contents prefixed with `=== path ===`.
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### list_dir
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Lists directory contents with optional depth control. Available for Gemini.
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| Parameter | Type | Required | Description |
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| `path` | string | yes | Directory path to list |
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| `depth` | integer | no | Depth of listing (default: 1) |
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Directories are suffixed with `/` in the output.
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### update_plan
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Maintains the current task plan. Available for OpenAI providers.
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| Parameter | Type | Required | Description |
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| `plan` | object[] | yes | Full ordered list of plan steps |
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| `plan[].step` | string | yes | Step text; step text must be unique within the plan |
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| `plan[].status` | string | yes | `pending`, `in_progress`, or `completed` |
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| `explanation` | string | no | Short note explaining why the plan changed |
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The submitted list replaces the current plan for that OpenAI session. Fabro reconciles steps by exact step text, emits `todo.created`, `todo.updated`, and `todo.deleted` events for changes, and projects the current list into run state.
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### TaskCreate, TaskUpdate, TaskGet, and TaskList
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Maintains a shared task list for Anthropic providers. The list is scoped to the root agent session, so sub-agents share the same task projection.
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`TaskCreate` creates a task with `subject`, `description`, optional `activeForm`, and optional metadata. `TaskUpdate` changes an existing task by `taskId`; setting `status` to `deleted` removes it from the projection. `TaskGet` returns full details for one task, while `TaskList` returns the current shared task list.
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Like `update_plan`, task changes are persisted as `todo.created`, `todo.updated`, and `todo.deleted` events and replay into run state.
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When an Anthropic session has not used `TaskCreate` or `TaskUpdate` for ten assistant turns, Fabro may inject a system reminder asking the agent to keep task state current. The reminder is only added when both tools are available and resets after the agent uses either tool.
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## Tool execution
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### Parallel execution
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When an LLM returns multiple tool calls in a single response, Fabro can execute them in parallel. Independent tool calls run concurrently, while the results are collected in order. If the agent session is cancelled, pending tool calls return a "Cancelled" error.
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### Argument validation
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Before executing a tool, Fabro validates the arguments against the tool's JSON Schema. Invalid arguments are rejected with a descriptive error before the tool executor runs.
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### Output truncation
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Tool output is truncated before being stored in conversation history to prevent context window bloat. Each tool has default limits:
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| Tool | Character limit | Truncation mode |
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| `grep` | 30,000 | Tail (keep end) |
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| `glob` | 20,000 | Tail |
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| `edit_file` | 10,000 | Tail |
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| `apply_patch` | 10,000 | Tail |
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| `write_file` | 1,000 | Tail |
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| Other tools | No default limit | Head + tail |
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Limits can be overridden per-tool via `SessionConfig.tool_output_limits`.
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### Error handling
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When a tool call fails, the error is returned to the agent as a tool result with an error flag — the agent loop continues. Tool errors do **not** fail the stage. The LLM sees the error message and decides how to respond: retry the call, try an alternative approach, or move on.
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Common error cases:
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| Error | Cause |
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| Unknown tool | The agent called a tool that doesn't exist |
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| Argument validation failure | Arguments don't match the tool's JSON Schema |
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| File not found | The target file doesn't exist |
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| Command timeout | A shell command exceeded its timeout |
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| `old_string` not found | An `edit_file` anchor didn't match the file's current contents |
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### Timeouts
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Shell commands have two timeout settings:
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| Setting | Default | Description |
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| `default_command_timeout_ms` | 10,000 (120,000 for Anthropic) | Timeout when the agent doesn't specify one |
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| `max_command_timeout_ms` | 600,000 (10 minutes) | Hard cap regardless of what the agent requests |
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The agent can request a specific timeout via the `timeout_ms` parameter, but it's always capped at the maximum.
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## Extending with MCP
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Additional tools can be added via [MCP servers](/agents/mcp). MCP tools appear alongside built-in tools in the agent's tool set and follow the same permission and execution model.
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## Further reading
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<Columns cols={2}>
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<Card title="Permissions" icon="lock" href="/agents/permissions">
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How permissions control which tools are available.
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</Card>
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<Card title="Environments" icon="server" href="/execution/environments">
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Sandbox providers where tools execute.
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</Card>
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<Card title="MCP" icon="plug" href="/agents/mcp">
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Extend agents with Model Context Protocol servers.
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</Card>
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<Card title="Sub-agents" icon="users" href="/agents/subagents">
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Sub-agents inherit tools from their parent session.
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</Card>
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</Columns>
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