feat: add Daytona sandbox tools for enhanced functionality (#5530)

* feat: add Daytona sandbox tools for enhanced functionality

- Introduced DaytonaBaseTool as a shared base for tools interacting with Daytona sandboxes.
- Added DaytonaExecTool for executing shell commands within a sandbox.
- Implemented DaytonaFileTool for managing files (read, write, delete, etc.) in a sandbox.
- Created DaytonaPythonTool for running Python code in a sandbox environment.
- Updated pyproject.toml to include Daytona as a dependency.

* chore: update tool specifications

* refactor: enhance error handling and logging in Daytona tools

- Added logging for best-effort cleanup failures in DaytonaBaseTool and DaytonaFileTool to aid in debugging.
- Improved error message for ImportError in DaytonaPythonTool to provide clearer guidance on SDK compatibility issues.

* linted

* addressing comment

* pinning version

* supporting append

* chore: update tool specifications

---------

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
This commit is contained in:
Lorenze Jay
2026-04-20 10:17:11 -07:00
committed by GitHub
parent bc1f1b85a4
commit 2c08f54341
11 changed files with 1515 additions and 2 deletions

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@@ -139,6 +139,9 @@ contextual = [
"contextual-client>=0.1.0",
"nest-asyncio>=1.6.0",
]
daytona = [
"daytona~=0.140.0",
]
[tool.uv]

View File

@@ -59,6 +59,11 @@ from crewai_tools.tools.dalle_tool.dalle_tool import DallETool
from crewai_tools.tools.databricks_query_tool.databricks_query_tool import (
DatabricksQueryTool,
)
from crewai_tools.tools.daytona_sandbox_tool import (
DaytonaExecTool,
DaytonaFileTool,
DaytonaPythonTool,
)
from crewai_tools.tools.directory_read_tool.directory_read_tool import (
DirectoryReadTool,
)
@@ -232,6 +237,9 @@ __all__ = [
"DOCXSearchTool",
"DallETool",
"DatabricksQueryTool",
"DaytonaExecTool",
"DaytonaFileTool",
"DaytonaPythonTool",
"DirectoryReadTool",
"DirectorySearchTool",
"EXASearchTool",

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@@ -48,6 +48,11 @@ from crewai_tools.tools.dalle_tool.dalle_tool import DallETool
from crewai_tools.tools.databricks_query_tool.databricks_query_tool import (
DatabricksQueryTool,
)
from crewai_tools.tools.daytona_sandbox_tool import (
DaytonaExecTool,
DaytonaFileTool,
DaytonaPythonTool,
)
from crewai_tools.tools.directory_read_tool.directory_read_tool import (
DirectoryReadTool,
)
@@ -217,6 +222,9 @@ __all__ = [
"DOCXSearchTool",
"DallETool",
"DatabricksQueryTool",
"DaytonaExecTool",
"DaytonaFileTool",
"DaytonaPythonTool",
"DirectoryReadTool",
"DirectorySearchTool",
"EXASearchTool",

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@@ -0,0 +1,107 @@
# Daytona Sandbox Tools
Run shell commands, execute Python, and manage files inside a [Daytona](https://www.daytona.io/) sandbox. Daytona provides isolated, ephemeral compute environments suitable for agent-driven code execution.
Three tools are provided so you can pick what the agent actually needs:
- **`DaytonaExecTool`** — run a shell command (`sandbox.process.exec`).
- **`DaytonaPythonTool`** — run a Python script (`sandbox.process.code_run`).
- **`DaytonaFileTool`** — read / write / list / delete files (`sandbox.fs.*`).
## Installation
```shell
uv add "crewai-tools[daytona]"
# or
pip install "crewai-tools[daytona]"
```
Set the API key:
```shell
export DAYTONA_API_KEY="..."
```
`DAYTONA_API_URL` and `DAYTONA_TARGET` are also respected if set.
## Sandbox lifecycle
All three tools share the same lifecycle controls from `DaytonaBaseTool`:
| Mode | When the sandbox is created | When it is deleted |
| --- | --- | --- |
| **Ephemeral** (default, `persistent=False`) | On every `_run` call | At the end of that same call |
| **Persistent** (`persistent=True`) | Lazily on first use | At process exit (via `atexit`), or manually via `tool.close()` |
| **Attach** (`sandbox_id="…"`) | Never — the tool attaches to an existing sandbox | Never — the tool will not delete a sandbox it did not create |
Ephemeral mode is the safe default: nothing leaks if the agent forgets to clean up. Use persistent mode when you want filesystem state or installed packages to carry across steps — this is typical when pairing `DaytonaFileTool` with `DaytonaExecTool`.
## Examples
### One-shot Python execution (ephemeral)
```python
from crewai_tools import DaytonaPythonTool
tool = DaytonaPythonTool()
result = tool.run(code="print(sum(range(10)))")
```
### Multi-step shell session (persistent)
```python
from crewai_tools import DaytonaExecTool, DaytonaFileTool
exec_tool = DaytonaExecTool(persistent=True)
file_tool = DaytonaFileTool(persistent=True)
# Agent writes a script, then runs it — both share the same sandbox instance
# because they each keep their own persistent sandbox. If you need the *same*
# sandbox across two tools, create one tool, grab the sandbox id via
# `tool._persistent_sandbox.id`, and pass it to the other via `sandbox_id=...`.
```
### Attach to an existing sandbox
```python
from crewai_tools import DaytonaExecTool
tool = DaytonaExecTool(sandbox_id="my-long-lived-sandbox")
```
### Custom create params
Pass Daytona's `CreateSandboxFromSnapshotParams` kwargs via `create_params`:
```python
tool = DaytonaExecTool(
persistent=True,
create_params={
"language": "python",
"env_vars": {"MY_FLAG": "1"},
"labels": {"owner": "crewai-agent"},
},
)
```
## Tool arguments
### `DaytonaExecTool`
- `command: str` — shell command to run.
- `cwd: str | None` — working directory.
- `env: dict[str, str] | None` — extra env vars for this command.
- `timeout: int | None` — seconds.
### `DaytonaPythonTool`
- `code: str` — Python source to execute.
- `argv: list[str] | None` — argv forwarded via `CodeRunParams`.
- `env: dict[str, str] | None` — env vars forwarded via `CodeRunParams`.
- `timeout: int | None` — seconds.
### `DaytonaFileTool`
- `action: "read" | "write" | "list" | "delete" | "mkdir" | "info"`
- `path: str` — absolute path inside the sandbox.
- `content: str | None` — required for `write`.
- `binary: bool` — if `True`, `content` is base64 on write / returned as base64 on read.
- `recursive: bool` — for `delete`, removes directories recursively.
- `mode: str` — for `mkdir`, octal permission string (default `"0755"`).

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@@ -0,0 +1,13 @@
from crewai_tools.tools.daytona_sandbox_tool.daytona_base_tool import DaytonaBaseTool
from crewai_tools.tools.daytona_sandbox_tool.daytona_exec_tool import DaytonaExecTool
from crewai_tools.tools.daytona_sandbox_tool.daytona_file_tool import DaytonaFileTool
from crewai_tools.tools.daytona_sandbox_tool.daytona_python_tool import (
DaytonaPythonTool,
)
__all__ = [
"DaytonaBaseTool",
"DaytonaExecTool",
"DaytonaFileTool",
"DaytonaPythonTool",
]

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@@ -0,0 +1,198 @@
from __future__ import annotations
import atexit
import logging
import os
import threading
from typing import Any, ClassVar
from crewai.tools import BaseTool, EnvVar
from pydantic import ConfigDict, Field, PrivateAttr
logger = logging.getLogger(__name__)
class DaytonaBaseTool(BaseTool):
"""Shared base for tools that act on a Daytona sandbox.
Lifecycle modes:
- persistent=False (default): create a fresh sandbox per `_run` call and
delete it when the call returns. Safer and stateless — nothing leaks if
the agent forgets cleanup.
- persistent=True: lazily create a single sandbox on first use, cache it
on the instance, and register an atexit hook to delete it at process
exit. Cheaper across many calls and lets files/state carry over.
- sandbox_id=<existing>: attach to a sandbox the caller already owns.
Never deleted by the tool.
"""
model_config = ConfigDict(arbitrary_types_allowed=True)
package_dependencies: list[str] = Field(default_factory=lambda: ["daytona"])
api_key: str | None = Field(
default_factory=lambda: os.getenv("DAYTONA_API_KEY"),
description="Daytona API key. Falls back to DAYTONA_API_KEY env var.",
json_schema_extra={"required": False},
)
api_url: str | None = Field(
default_factory=lambda: os.getenv("DAYTONA_API_URL"),
description="Daytona API URL override. Falls back to DAYTONA_API_URL env var.",
json_schema_extra={"required": False},
)
target: str | None = Field(
default_factory=lambda: os.getenv("DAYTONA_TARGET"),
description="Daytona target region. Falls back to DAYTONA_TARGET env var.",
json_schema_extra={"required": False},
)
persistent: bool = Field(
default=False,
description=(
"If True, reuse one sandbox across all calls to this tool instance "
"and delete it at process exit. Default False creates and deletes a "
"fresh sandbox per call."
),
)
sandbox_id: str | None = Field(
default=None,
description=(
"Attach to an existing sandbox by id or name instead of creating a "
"new one. The tool will never delete a sandbox it did not create."
),
)
create_params: dict[str, Any] | None = Field(
default=None,
description=(
"Optional kwargs forwarded to CreateSandboxFromSnapshotParams when "
"creating a sandbox (e.g. language, snapshot, env_vars, labels)."
),
)
sandbox_timeout: float = Field(
default=60.0,
description="Timeout in seconds for sandbox create/delete operations.",
)
env_vars: list[EnvVar] = Field(
default_factory=lambda: [
EnvVar(
name="DAYTONA_API_KEY",
description="API key for Daytona sandbox service",
required=False,
),
EnvVar(
name="DAYTONA_API_URL",
description="Daytona API base URL (optional)",
required=False,
),
EnvVar(
name="DAYTONA_TARGET",
description="Daytona target region (optional)",
required=False,
),
]
)
_client: Any | None = PrivateAttr(default=None)
_persistent_sandbox: Any | None = PrivateAttr(default=None)
_lock: threading.Lock = PrivateAttr(default_factory=threading.Lock)
_cleanup_registered: bool = PrivateAttr(default=False)
_sdk_cache: ClassVar[dict[str, Any]] = {}
@classmethod
def _import_sdk(cls) -> dict[str, Any]:
if cls._sdk_cache:
return cls._sdk_cache
try:
from daytona import (
CreateSandboxFromSnapshotParams,
Daytona,
DaytonaConfig,
)
except ImportError as exc:
raise ImportError(
"The 'daytona' package is required for Daytona sandbox tools. "
"Install it with: uv add daytona (or) pip install daytona"
) from exc
cls._sdk_cache = {
"Daytona": Daytona,
"DaytonaConfig": DaytonaConfig,
"CreateSandboxFromSnapshotParams": CreateSandboxFromSnapshotParams,
}
return cls._sdk_cache
def _get_client(self) -> Any:
if self._client is not None:
return self._client
sdk = self._import_sdk()
config_kwargs: dict[str, Any] = {}
if self.api_key:
config_kwargs["api_key"] = self.api_key
if self.api_url:
config_kwargs["api_url"] = self.api_url
if self.target:
config_kwargs["target"] = self.target
config = sdk["DaytonaConfig"](**config_kwargs) if config_kwargs else None
self._client = sdk["Daytona"](config) if config else sdk["Daytona"]()
return self._client
def _build_create_params(self) -> Any | None:
if not self.create_params:
return None
sdk = self._import_sdk()
return sdk["CreateSandboxFromSnapshotParams"](**self.create_params)
def _acquire_sandbox(self) -> tuple[Any, bool]:
"""Return (sandbox, should_delete_after_use)."""
client = self._get_client()
if self.sandbox_id:
return client.get(self.sandbox_id), False
if self.persistent:
with self._lock:
if self._persistent_sandbox is None:
self._persistent_sandbox = client.create(
self._build_create_params(),
timeout=self.sandbox_timeout,
)
if not self._cleanup_registered:
atexit.register(self.close)
self._cleanup_registered = True
return self._persistent_sandbox, False
sandbox = client.create(
self._build_create_params(),
timeout=self.sandbox_timeout,
)
return sandbox, True
def _release_sandbox(self, sandbox: Any, should_delete: bool) -> None:
if not should_delete:
return
try:
sandbox.delete(timeout=self.sandbox_timeout)
except Exception:
logger.debug(
"Best-effort sandbox cleanup failed after ephemeral use; "
"the sandbox may need manual deletion.",
exc_info=True,
)
def close(self) -> None:
"""Delete the cached persistent sandbox if one exists."""
with self._lock:
sandbox = self._persistent_sandbox
self._persistent_sandbox = None
if sandbox is None:
return
try:
sandbox.delete(timeout=self.sandbox_timeout)
except Exception:
logger.debug(
"Best-effort persistent sandbox cleanup failed at close(); "
"the sandbox may need manual deletion.",
exc_info=True,
)

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@@ -0,0 +1,59 @@
from __future__ import annotations
from builtins import type as type_
from typing import Any
from pydantic import BaseModel, Field
from crewai_tools.tools.daytona_sandbox_tool.daytona_base_tool import DaytonaBaseTool
class DaytonaExecToolSchema(BaseModel):
command: str = Field(..., description="Shell command to execute in the sandbox.")
cwd: str | None = Field(
default=None,
description="Working directory to run the command in. Defaults to the sandbox work dir.",
)
env: dict[str, str] | None = Field(
default=None,
description="Optional environment variables to set for this command.",
)
timeout: int | None = Field(
default=None,
description="Maximum seconds to wait for the command to finish.",
)
class DaytonaExecTool(DaytonaBaseTool):
"""Run a shell command inside a Daytona sandbox."""
name: str = "Daytona Sandbox Exec"
description: str = (
"Execute a shell command inside a Daytona sandbox and return the exit "
"code and combined output. Use this to run builds, package installs, "
"git operations, or any one-off shell command."
)
args_schema: type_[BaseModel] = DaytonaExecToolSchema
def _run(
self,
command: str,
cwd: str | None = None,
env: dict[str, str] | None = None,
timeout: int | None = None,
) -> Any:
sandbox, should_delete = self._acquire_sandbox()
try:
response = sandbox.process.exec(
command,
cwd=cwd,
env=env,
timeout=timeout,
)
return {
"exit_code": getattr(response, "exit_code", None),
"result": getattr(response, "result", None),
"artifacts": getattr(response, "artifacts", None),
}
finally:
self._release_sandbox(sandbox, should_delete)

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@@ -0,0 +1,205 @@
from __future__ import annotations
import base64
from builtins import type as type_
import logging
import posixpath
from typing import Any, Literal
from pydantic import BaseModel, Field, model_validator
from crewai_tools.tools.daytona_sandbox_tool.daytona_base_tool import DaytonaBaseTool
logger = logging.getLogger(__name__)
FileAction = Literal["read", "write", "append", "list", "delete", "mkdir", "info"]
class DaytonaFileToolSchema(BaseModel):
action: FileAction = Field(
...,
description=(
"The filesystem action to perform: 'read' (returns file contents), "
"'write' (create or replace a file with content), 'append' (append "
"content to an existing file — use this for writing large files in "
"chunks to avoid hitting tool-call size limits), 'list' (lists a "
"directory), 'delete' (removes a file/dir), 'mkdir' (creates a "
"directory), 'info' (returns file metadata)."
),
)
path: str = Field(..., description="Absolute path inside the sandbox.")
content: str | None = Field(
default=None,
description=(
"Content to write or append. If omitted for 'write', an empty file "
"is created. For files larger than a few KB, prefer one 'write' "
"with empty content followed by multiple 'append' calls of ~4KB "
"each to stay within tool-call payload limits."
),
)
binary: bool = Field(
default=False,
description=(
"For 'write': treat content as base64 and upload raw bytes. "
"For 'read': return contents as base64 instead of decoded utf-8."
),
)
recursive: bool = Field(
default=False,
description="For action='delete': remove directories recursively.",
)
mode: str = Field(
default="0755",
description="For action='mkdir': octal permission string (default 0755).",
)
@model_validator(mode="after")
def _validate_action_args(self) -> DaytonaFileToolSchema:
if self.action == "append" and self.content is None:
raise ValueError(
"action='append' requires 'content'. Pass the chunk to append "
"in the 'content' field."
)
return self
class DaytonaFileTool(DaytonaBaseTool):
"""Read, write, and manage files inside a Daytona sandbox.
Notes:
- Most useful with `persistent=True` or an explicit `sandbox_id`. With the
default ephemeral mode, files disappear when this tool call finishes.
"""
name: str = "Daytona Sandbox Files"
description: str = (
"Perform filesystem operations inside a Daytona sandbox: read a file, "
"write content to a path, append content to an existing file, list a "
"directory, delete a path, make a directory, or fetch file metadata. "
"For files larger than a few KB, create the file with action='write' "
"and empty content, then send the body via multiple 'append' calls of "
"~4KB each to stay within tool-call payload limits."
)
args_schema: type_[BaseModel] = DaytonaFileToolSchema
def _run(
self,
action: FileAction,
path: str,
content: str | None = None,
binary: bool = False,
recursive: bool = False,
mode: str = "0755",
) -> Any:
sandbox, should_delete = self._acquire_sandbox()
try:
if action == "read":
return self._read(sandbox, path, binary=binary)
if action == "write":
return self._write(sandbox, path, content or "", binary=binary)
if action == "append":
return self._append(sandbox, path, content or "", binary=binary)
if action == "list":
return self._list(sandbox, path)
if action == "delete":
sandbox.fs.delete_file(path, recursive=recursive)
return {"status": "deleted", "path": path}
if action == "mkdir":
sandbox.fs.create_folder(path, mode)
return {"status": "created", "path": path, "mode": mode}
if action == "info":
return self._info(sandbox, path)
raise ValueError(f"Unknown action: {action}")
finally:
self._release_sandbox(sandbox, should_delete)
def _read(self, sandbox: Any, path: str, *, binary: bool) -> dict[str, Any]:
data: bytes = sandbox.fs.download_file(path)
if binary:
return {
"path": path,
"encoding": "base64",
"content": base64.b64encode(data).decode("ascii"),
}
try:
return {"path": path, "encoding": "utf-8", "content": data.decode("utf-8")}
except UnicodeDecodeError:
return {
"path": path,
"encoding": "base64",
"content": base64.b64encode(data).decode("ascii"),
"note": "File was not valid utf-8; returned as base64.",
}
def _write(
self, sandbox: Any, path: str, content: str, *, binary: bool
) -> dict[str, Any]:
payload = base64.b64decode(content) if binary else content.encode("utf-8")
self._ensure_parent_dir(sandbox, path)
sandbox.fs.upload_file(payload, path)
return {"status": "written", "path": path, "bytes": len(payload)}
def _append(
self, sandbox: Any, path: str, content: str, *, binary: bool
) -> dict[str, Any]:
chunk = base64.b64decode(content) if binary else content.encode("utf-8")
self._ensure_parent_dir(sandbox, path)
try:
existing: bytes = sandbox.fs.download_file(path)
except Exception:
existing = b""
payload = existing + chunk
sandbox.fs.upload_file(payload, path)
return {
"status": "appended",
"path": path,
"appended_bytes": len(chunk),
"total_bytes": len(payload),
}
@staticmethod
def _ensure_parent_dir(sandbox: Any, path: str) -> None:
"""Make sure the parent directory of `path` exists.
Daytona's upload returns 400 if the parent directory is missing. We
best-effort mkdir the parent; any error (e.g. already exists) is
swallowed because `create_folder` is not idempotent on the server.
"""
parent = posixpath.dirname(path)
if not parent or parent in ("/", "."):
return
try:
sandbox.fs.create_folder(parent, "0755")
except Exception:
logger.debug(
"Best-effort parent-directory create failed for %s; "
"assuming it already exists and proceeding with the write.",
parent,
exc_info=True,
)
def _list(self, sandbox: Any, path: str) -> dict[str, Any]:
entries = sandbox.fs.list_files(path)
return {
"path": path,
"entries": [self._file_info_to_dict(entry) for entry in entries],
}
def _info(self, sandbox: Any, path: str) -> dict[str, Any]:
return self._file_info_to_dict(sandbox.fs.get_file_info(path))
@staticmethod
def _file_info_to_dict(info: Any) -> dict[str, Any]:
fields = (
"name",
"size",
"mode",
"permissions",
"is_dir",
"mod_time",
"owner",
"group",
)
return {field: getattr(info, field, None) for field in fields}

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@@ -0,0 +1,82 @@
from __future__ import annotations
from builtins import type as type_
from typing import Any
from pydantic import BaseModel, Field
from crewai_tools.tools.daytona_sandbox_tool.daytona_base_tool import DaytonaBaseTool
class DaytonaPythonToolSchema(BaseModel):
code: str = Field(
...,
description="Python source to execute inside the sandbox.",
)
argv: list[str] | None = Field(
default=None,
description="Optional argv passed to the script (forwarded as params.argv).",
)
env: dict[str, str] | None = Field(
default=None,
description="Optional environment variables for the run (forwarded as params.env).",
)
timeout: int | None = Field(
default=None,
description="Maximum seconds to wait for the code to finish.",
)
class DaytonaPythonTool(DaytonaBaseTool):
"""Run Python source inside a Daytona sandbox."""
name: str = "Daytona Sandbox Python"
description: str = (
"Execute a block of Python code inside a Daytona sandbox and return the "
"exit code, captured stdout, and any produced artifacts. Use this for "
"data processing, quick scripts, or analysis that should run in an "
"isolated environment."
)
args_schema: type_[BaseModel] = DaytonaPythonToolSchema
def _run(
self,
code: str,
argv: list[str] | None = None,
env: dict[str, str] | None = None,
timeout: int | None = None,
) -> Any:
sandbox, should_delete = self._acquire_sandbox()
try:
params = self._build_code_run_params(argv=argv, env=env)
response = sandbox.process.code_run(code, params=params, timeout=timeout)
return {
"exit_code": getattr(response, "exit_code", None),
"result": getattr(response, "result", None),
"artifacts": getattr(response, "artifacts", None),
}
finally:
self._release_sandbox(sandbox, should_delete)
def _build_code_run_params(
self,
argv: list[str] | None,
env: dict[str, str] | None,
) -> Any | None:
if argv is None and env is None:
return None
try:
from daytona import CodeRunParams
except ImportError as exc:
raise ImportError(
"Could not import daytona.CodeRunParams while building "
"argv/env for sandbox.process.code_run. This usually means the "
"installed 'daytona' SDK is too old or incompatible. Upgrade "
"with: pip install -U 'crewai-tools[daytona]'"
) from exc
kwargs: dict[str, Any] = {}
if argv is not None:
kwargs["argv"] = argv
if env is not None:
kwargs["env"] = env
return CodeRunParams(**kwargs)

View File

@@ -6976,6 +6976,634 @@
"type": "object"
}
},
{
"description": "Execute a shell command inside a Daytona sandbox and return the exit code and combined output. Use this to run builds, package installs, git operations, or any one-off shell command.",
"env_vars": [
{
"default": null,
"description": "API key for Daytona sandbox service",
"name": "DAYTONA_API_KEY",
"required": false
},
{
"default": null,
"description": "Daytona API base URL (optional)",
"name": "DAYTONA_API_URL",
"required": false
},
{
"default": null,
"description": "Daytona target region (optional)",
"name": "DAYTONA_TARGET",
"required": false
}
],
"humanized_name": "Daytona Sandbox Exec",
"init_params_schema": {
"$defs": {
"EnvVar": {
"properties": {
"default": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Default"
},
"description": {
"title": "Description",
"type": "string"
},
"name": {
"title": "Name",
"type": "string"
},
"required": {
"default": true,
"title": "Required",
"type": "boolean"
}
},
"required": [
"name",
"description"
],
"title": "EnvVar",
"type": "object"
}
},
"description": "Run a shell command inside a Daytona sandbox.",
"properties": {
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"description": "Daytona API key. Falls back to DAYTONA_API_KEY env var.",
"required": false,
"title": "Api Key"
},
"api_url": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"description": "Daytona API URL override. Falls back to DAYTONA_API_URL env var.",
"required": false,
"title": "Api Url"
},
"create_params": {
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{
"additionalProperties": true,
"type": "object"
},
{
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}
],
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"description": "Optional kwargs forwarded to CreateSandboxFromSnapshotParams when creating a sandbox (e.g. language, snapshot, env_vars, labels).",
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},
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"title": "Persistent",
"type": "boolean"
},
"sandbox_id": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
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"title": "Sandbox Id"
},
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"description": "Timeout in seconds for sandbox create/delete operations.",
"title": "Sandbox Timeout",
"type": "number"
},
"target": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"description": "Daytona target region. Falls back to DAYTONA_TARGET env var.",
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"title": "Target"
}
},
"required": [],
"title": "DaytonaExecTool",
"type": "object"
},
"name": "DaytonaExecTool",
"package_dependencies": [
"daytona"
],
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"properties": {
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"description": "Shell command to execute in the sandbox.",
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"type": "string"
},
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"anyOf": [
{
"type": "string"
},
{
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}
],
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},
"type": "object"
},
{
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}
],
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},
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"anyOf": [
{
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},
{
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}
],
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"description": "Maximum seconds to wait for the command to finish.",
"title": "Timeout"
}
},
"required": [
"command"
],
"title": "DaytonaExecToolSchema",
"type": "object"
}
},
{
"description": "Perform filesystem operations inside a Daytona sandbox: read a file, write content to a path, append content to an existing file, list a directory, delete a path, make a directory, or fetch file metadata. For files larger than a few KB, create the file with action='write' and empty content, then send the body via multiple 'append' calls of ~4KB each to stay within tool-call payload limits.",
"env_vars": [
{
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"description": "API key for Daytona sandbox service",
"name": "DAYTONA_API_KEY",
"required": false
},
{
"default": null,
"description": "Daytona API base URL (optional)",
"name": "DAYTONA_API_URL",
"required": false
},
{
"default": null,
"description": "Daytona target region (optional)",
"name": "DAYTONA_TARGET",
"required": false
}
],
"humanized_name": "Daytona Sandbox Files",
"init_params_schema": {
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"EnvVar": {
"properties": {
"default": {
"anyOf": [
{
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},
{
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}
],
"default": null,
"title": "Default"
},
"description": {
"title": "Description",
"type": "string"
},
"name": {
"title": "Name",
"type": "string"
},
"required": {
"default": true,
"title": "Required",
"type": "boolean"
}
},
"required": [
"name",
"description"
],
"title": "EnvVar",
"type": "object"
}
},
"description": "Read, write, and manage files inside a Daytona sandbox.\n\nNotes:\n - Most useful with `persistent=True` or an explicit `sandbox_id`. With the\n default ephemeral mode, files disappear when this tool call finishes.",
"properties": {
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"anyOf": [
{
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},
{
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}
],
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"title": "Api Key"
},
"api_url": {
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{
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},
{
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}
],
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"title": "Api Url"
},
"create_params": {
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"type": "object"
},
{
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"type": "number"
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{
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},
{
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}
],
"description": "Daytona target region. Falls back to DAYTONA_TARGET env var.",
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}
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"title": "DaytonaFileTool",
"type": "object"
},
"name": "DaytonaFileTool",
"package_dependencies": [
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],
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"content": {
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{
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},
{
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}
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"type": "boolean"
}
},
"required": [
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"path"
],
"title": "DaytonaFileToolSchema",
"type": "object"
}
},
{
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"description": "API key for Daytona sandbox service",
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{
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"name": "DAYTONA_API_URL",
"required": false
},
{
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}
],
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"properties": {
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{
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},
{
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}
},
"required": [
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],
"title": "EnvVar",
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}
},
"description": "Run Python source inside a Daytona sandbox.",
"properties": {
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"anyOf": [
{
"type": "string"
},
{
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}
],
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"required": false,
"title": "Api Key"
},
"api_url": {
"anyOf": [
{
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},
{
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}
],
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{
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{
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},
{
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}
],
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"required": false,
"title": "Target"
}
},
"required": [],
"title": "DaytonaPythonTool",
"type": "object"
},
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{
"items": {
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"type": "string"
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"env": {
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{
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},
"type": "object"
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{
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{
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},
"required": [
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],
"title": "DaytonaPythonToolSchema",
"type": "object"
}
},
{
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"env_vars": [],

206
uv.lock generated
View File

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