Agent Tools

Agent Tools🔗

LocalGPT’s agent has access to 7 built-in tools for interacting with your system.

Tool Overview🔗

Tool	Description
bash	Execute shell commands
read_file	Read file contents
write_file	Create or overwrite files
edit_file	Make targeted edits to files
memory_search	Search the memory index
memory_get	Read specific content from memory files
web_fetch	Fetch content from URLs

bash🔗

Execute shell commands and return the output. All commands run inside the shell sandbox by default.

Parameters:

Name	Type	Description
command	string	The command to execute
working_dir	string	Optional working directory

Example:

{
  "name": "bash",
  "arguments": {
    "command": "ls -la ~/projects",
    "working_dir": "~"
  }
}

Notes:

• Commands run inside a kernel-enforced sandbox (Landlock + seccomp on Linux, Seatbelt on macOS)
• Sandbox restricts writes to the workspace directory, blocks network access, and denies credential directories
• Timeout after 120 seconds by default (configurable via sandbox.timeout_secs)
• Output capped at 1MB (configurable via sandbox.max_output_bytes)
• Tilde (~) is expanded automatically

read_file🔗

Read the contents of a file.

Parameters:

Name	Type	Description
path	string	Path to the file
offset	integer	Line number to start from (optional)
limit	integer	Maximum lines to read (optional)

Example:

{
  "name": "read_file",
  "arguments": {
    "path": "~/projects/app/src/main.rs",
    "offset": 100,
    "limit": 50
  }
}

Notes:

• Returns line numbers with content
• Handles large files with offset/limit
• Tilde expansion supported

write_file🔗

Create a new file or overwrite an existing one.

Parameters:

Name	Type	Description
path	string	Path to the file
content	string	Content to write

Example:

{
  "name": "write_file",
  "arguments": {
    "path": "~/projects/app/README.md",
    "content": "# My App\n\nA description of my app."
  }
}

Notes:

• Creates parent directories if needed
• Overwrites existing files completely
• Use edit_file for partial changes
• Writes are restricted to the workspace directory
• Protected files (POLICY.md, IDENTITY.md) cannot be written

edit_file🔗

Make targeted string replacements in a file.

Parameters:

Name	Type	Description
path	string	Path to the file
old_string	string	Text to find
new_string	string	Text to replace with

Example:

{
  "name": "edit_file",
  "arguments": {
    "path": "~/projects/app/config.toml",
    "old_string": "port = 8080",
    "new_string": "port = 3000"
  }
}

Notes:

• Finds and replaces exact string matches
• Only replaces first occurrence
• Returns error if string not found
• Preserves file formatting

memory_search🔗

Search the memory index for relevant content.

Parameters:

Name	Type	Description
query	string	Search query
limit	integer	Maximum results (optional, default: 10)

Example:

{
  "name": "memory_search",
  "arguments": {
    "query": "rust error handling",
    "limit": 5
  }
}

Returns:

• Matching chunks with file paths
• Relevance scores
• Surrounding context

memory_get🔗

Read specific content from memory files. Use after memory_search to pull only the needed lines.

Parameters:

Name	Type	Description
path	string	Path to memory file (MEMORY.md or memory/*.md)
start_line	integer	Line number to start from (optional)
end_line	integer	Line number to end at (optional)

Example:

{
  "name": "memory_get",
  "arguments": {
    "path": "memory/2024-01-15.md",
    "start_line": 10,
    "end_line": 25
  }
}

Notes:

• Safe snippet read from memory files
• Use line ranges to keep context small
• Works with MEMORY.md and daily logs

web_fetch🔗

Fetch content from a URL.

Parameters:

Name	Type	Description
url	string	URL to fetch

Example:

{
  "name": "web_fetch",
  "arguments": {
    "url": "https://api.github.com/repos/owner/repo"
  }
}

Notes:

• HTTP GET request only
• Response capped at 1MB by default (configurable via tools.web_fetch_max_bytes)
• Respects timeouts
• Returns error for non-2xx responses

Provider Tool Support🔗

All LLM providers in LocalGPT support tool calling:

Provider	Tool Calling
Claude CLI	Native support
Anthropic API	Native support
OpenAI	Native support
Ollama	Supported (v0.1.2+) — requires Ollama models with tool calling capability
GLM (Z.AI)	Native support

Tool Execution Flow🔗

When the AI wants to use a tool:

User: "What files are in my project?"
      │
      ▼
┌─────────────────┐
│  AI decides to  │
│  use bash tool  │
└────────┬────────┘
         │
         ▼
┌─────────────────┐
│  Tool Request:  │
│  bash           │
│  "ls ~/project" │
└────────┬────────┘
         │
         ▼
┌─────────────────┐
│  LocalGPT       │
│  executes cmd   │
└────────┬────────┘
         │
         ▼
┌─────────────────┐
│  Tool Result:   │
│  file1.rs       │
│  file2.rs       │
└────────┬────────┘
         │
         ▼
┌─────────────────┐
│  AI formats     │
│  response       │
└────────┬────────┘
         │
         ▼
"Your project contains file1.rs and file2.rs"

Safety Considerations🔗

These measures reduce risk but do not eliminate it. LLMs are probabilistic systems — no prompt or tooling arrangement can guarantee that an AI agent will never take an unintended action.

• Shell commands run inside a kernel-enforced sandbox — write access limited to workspace, network denied, credentials blocked
• File tools (write_file, edit_file, read_file) are path-validated and restricted to the workspace
• Protected files — the agent cannot write to POLICY.md or IDENTITY.md (see POLICY.md)
• No sudo escalation is performed automatically
• Web requests are outbound only with SSRF protection
• Memory stays entirely local

Always review agent actions, especially in sensitive environments. The sandbox and protections are a safety net, not a substitute for human oversight.