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* feat: adopt directory-based docs versioning with Edge channel Switch docs.crewai.com from navigation-only versioning (every version selector entry rendered the same docs/<lang>/* source files) to Mintlify's directory-based versioning so each version selector entry renders its own snapshot. Add an "Edge" channel under docs/edge/<lang>/* that always reflects main HEAD for unreleased work, eliminating pre-release leakage onto frozen release labels. External links to canonical /<lang>/* URLs are preserved via wildcard redirects that always land on the current default version. Layout: - docs/edge/<lang>/* rolling source (you edit here) - docs/edge/enterprise-api.*.yaml - docs/v<X.Y.Z>/<lang>/* frozen, immutable snapshots - docs/v<X.Y.Z>/enterprise-api.*.yaml - docs/images/ shared, append-only - docs/docs.json nav + redirects URLs follow the Mintlify-idiomatic shape: /edge/<lang>/<page> for Edge, /v<X.Y.Z>/<lang>/<page> for every frozen snapshot. The wildcard redirects /<lang>/:slug* -> /<default>/<lang>/:slug* keep stale links working, and every freeze rewrites them (plus all per-section/per-page redirects) so destinations always resolve to the current default without depending on a second redirect hop. Release flow integration (devtools release): - New module crewai_devtools.docs_versioning.freeze() materialises docs/v<X.Y.Z>/ from docs/edge/, rewrites openapi: refs inside the snapshot, inserts the version into every language block in docs.json, and refreshes all redirect destinations. - _update_docs_and_create_pr() in cli.py now calls that freeze during Phase 2 of devtools release. Edge changelogs are updated first (so the snapshot freeze picks them up), then the snapshot is staged alongside docs.json, branched as docs/freeze-v<X.Y.Z>, and the PR is titled [docs-freeze] docs: snapshot and changelog for v<X.Y.Z> — the title prefix the new CI guard reads. - The PR still gates tag, GitHub release, PyPI publish, and the enterprise release as before; no new PRs are added. - Pre-releases (1.X.YaN, 1.X.YbN, ...) skip the snapshot — they ride Edge — and the docs PR title omits the [docs-freeze] prefix. - docs_check (AI-generated docs scaffolding) writes to docs/edge/<lang>/* so newly-generated unreleased docs land in Edge and never accidentally touch a frozen snapshot. Migration scripts (one-shot): - scripts/docs/freeze_historical_versions.py reconstructs all 16 historical snapshots (v1.10.0 .. v1.14.7) from git tags via git archive | tar, rewriting openapi: MDX refs so each snapshot reads its own enterprise-api YAML rather than the live one. - scripts/docs/prefix_version_paths.py one-shot-migrates docs.json: rewrites every page path in 16 versioned blocks to point under docs/v<X.Y.Z>/, inserts a new Edge entry per language, tags v1.14.7 as Latest (default), prunes pages whose target file doesn't exist in the snapshot (e.g. docs/ar/ didn't exist before v1.12.0), and writes the wildcard + per-section redirects. - scripts/docs/freeze_current_edge.py is now a thin CLI wrapper around docs_versioning.freeze for manual one-off freezes (e.g. retroactively snapshotting a forgotten release). CI guards (.github/workflows/docs-snapshots.yml): - Frozen snapshots under docs/v[0-9]*/ are immutable; only PRs whose title contains [docs-freeze] (i.e. release-cut PRs generated by devtools release or the manual wrapper) may modify them. - Images under docs/images/ are append-only since snapshots share a single image directory. Deleting or renaming an image breaks every historical snapshot that still references it. Restored docs/images/crewai-otel-export.png from PR #3673; it was deleted in PR #4908 but v1.10.0 / v1.10.1 snapshots still reference it. Restoring instead of editing the snapshots preserves historical rendering fidelity and validates the new append-only rule retroactively. Tests: - lib/devtools/tests/test_docs_versioning.py covers the freeze: file copy, openapi rewrite, version insertion, default demotion, redirect upserts, per-section redirect rewriting, idempotency, and invalid inputs. Verified locally with mintlify broken-links: 0 broken links across the full site (Edge + 16 frozen versions, 4 locales). AGENTS.md (repo root) is the contributor guide for the new model; RELEASING.md is the release-cut runbook; README's Contribution section links to both. Co-authored-by: Cursor <cursoragent@cursor.com> * style: resolve linter issues --------- Co-authored-by: Cursor <cursoragent@cursor.com>
181 lines
6.8 KiB
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181 lines
6.8 KiB
Plaintext
---
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title: Daytona Sandbox Tools
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description: Run shell commands, execute Python, and manage files inside isolated [Daytona](https://www.daytona.io/) sandboxes.
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icon: box
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mode: "wide"
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---
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# Daytona Sandbox Tools
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## Description
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The Daytona sandbox tools give CrewAI agents access to isolated, ephemeral compute environments powered by [Daytona](https://www.daytona.io/). Three tools are available so you can give an agent exactly the capabilities it needs:
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- **`DaytonaExecTool`** — run any shell command inside a sandbox.
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- **`DaytonaPythonTool`** — execute a block of Python source code inside a sandbox.
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- **`DaytonaFileTool`** — read, write, append, list, delete, and inspect files inside a sandbox.
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All three tools share the same sandbox lifecycle controls, so you can mix and match them while keeping state in a single persistent sandbox.
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## Installation
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```shell
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uv add "crewai-tools[daytona]"
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# or
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pip install "crewai-tools[daytona]"
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```
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Set your API key:
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```shell
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export DAYTONA_API_KEY="your-api-key"
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```
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`DAYTONA_API_URL` and `DAYTONA_TARGET` are also respected if set.
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## Sandbox Lifecycle
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All three tools inherit lifecycle controls from `DaytonaBaseTool`:
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| Mode | How to enable | Sandbox created | Sandbox deleted |
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|------|--------------|-----------------|-----------------|
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| **Ephemeral** (default) | `persistent=False` (default) | On every `_run` call | At the end of that same call |
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| **Persistent** | `persistent=True` | Lazily on first use | At process exit (via `atexit`), or manually via `tool.close()` |
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| **Attach** | `sandbox_id="<id>"` | Never — attaches to an existing sandbox | Never — the tool will not delete a sandbox it did not create |
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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 multiple tool calls — this is typical when pairing `DaytonaFileTool` with `DaytonaExecTool`.
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## Examples
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### One-shot Python execution (ephemeral)
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```python Code
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from crewai_tools import DaytonaPythonTool
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tool = DaytonaPythonTool()
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result = tool.run(code="print(sum(range(10)))")
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print(result)
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# {"exit_code": 0, "result": "45\n", "artifacts": None}
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```
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### Multi-step shell session (persistent)
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```python Code
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from crewai_tools import DaytonaExecTool, DaytonaFileTool
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exec_tool = DaytonaExecTool(persistent=True)
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file_tool = DaytonaFileTool(persistent=True)
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# Install a package, then write and run a script — all in the same sandbox
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exec_tool.run(command="pip install httpx -q")
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file_tool.run(action="write", path="/workspace/fetch.py", content="import httpx; print(httpx.get('https://httpbin.org/get').status_code)")
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exec_tool.run(command="python /workspace/fetch.py")
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```
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<Note>
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Each tool instance maintains its own persistent sandbox. To share **one** sandbox across two tools, create the first tool, grab its sandbox id via `tool._persistent_sandbox.id`, and pass it to the second tool via `sandbox_id=...`.
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</Note>
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### Attach to an existing sandbox
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```python Code
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from crewai_tools import DaytonaExecTool
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tool = DaytonaExecTool(sandbox_id="my-long-lived-sandbox")
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result = tool.run(command="ls /workspace")
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```
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### Custom sandbox parameters
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Pass Daytona's `CreateSandboxFromSnapshotParams` kwargs via `create_params`:
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```python Code
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from crewai_tools import DaytonaExecTool
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tool = DaytonaExecTool(
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persistent=True,
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create_params={
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"language": "python",
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"env_vars": {"MY_FLAG": "1"},
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"labels": {"owner": "crewai-agent"},
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},
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)
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```
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### Agent integration
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```python Code
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from crewai import Agent, Task, Crew
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from crewai_tools import DaytonaExecTool, DaytonaPythonTool, DaytonaFileTool
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exec_tool = DaytonaExecTool(persistent=True)
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python_tool = DaytonaPythonTool(persistent=True)
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file_tool = DaytonaFileTool(persistent=True)
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coder = Agent(
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role="Sandbox Engineer",
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goal="Write and run code in an isolated environment",
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backstory="An engineer who uses Daytona sandboxes to safely execute code and manage files.",
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tools=[exec_tool, python_tool, file_tool],
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verbose=True,
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)
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task = Task(
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description="Write a Python script that prints the first 10 Fibonacci numbers, save it to /workspace/fib.py, and run it.",
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expected_output="The first 10 Fibonacci numbers printed to stdout.",
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agent=coder,
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)
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crew = Crew(agents=[coder], tasks=[task])
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result = crew.kickoff()
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```
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## Parameters
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### Shared (`DaytonaBaseTool`)
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All three tools accept these parameters at initialization:
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| Parameter | Type | Default | Description |
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|-----------|------|---------|-------------|
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| `api_key` | `str \| None` | `$DAYTONA_API_KEY` | Daytona API key. Falls back to the `DAYTONA_API_KEY` env var. |
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| `api_url` | `str \| None` | `$DAYTONA_API_URL` | Daytona API URL override. |
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| `target` | `str \| None` | `$DAYTONA_TARGET` | Daytona target region. |
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| `persistent` | `bool` | `False` | Reuse one sandbox across all calls and delete it at process exit. |
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| `sandbox_id` | `str \| None` | `None` | Attach to an existing sandbox by id or name. |
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| `create_params` | `dict \| None` | `None` | Extra kwargs forwarded to `CreateSandboxFromSnapshotParams` (e.g. `language`, `env_vars`, `labels`). |
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| `sandbox_timeout` | `float` | `60.0` | Timeout in seconds for sandbox create/delete operations. |
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### `DaytonaExecTool`
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| Parameter | Type | Required | Description |
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|-----------|------|----------|-------------|
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| `command` | `str` | ✓ | Shell command to execute. |
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| `cwd` | `str \| None` | | Working directory inside the sandbox. |
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| `env` | `dict[str, str] \| None` | | Extra environment variables for this command. |
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| `timeout` | `int \| None` | | Maximum seconds to wait for the command. |
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### `DaytonaPythonTool`
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| Parameter | Type | Required | Description |
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|-----------|------|----------|-------------|
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| `code` | `str` | ✓ | Python source code to execute. |
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| `argv` | `list[str] \| None` | | Argument vector forwarded via `CodeRunParams`. |
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| `env` | `dict[str, str] \| None` | | Environment variables forwarded via `CodeRunParams`. |
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| `timeout` | `int \| None` | | Maximum seconds to wait for execution. |
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### `DaytonaFileTool`
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| Parameter | Type | Required | Description |
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|-----------|------|----------|-------------|
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| `action` | `str` | ✓ | One of: `read`, `write`, `append`, `list`, `delete`, `mkdir`, `info`. |
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| `path` | `str` | ✓ | Absolute path inside the sandbox. |
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| `content` | `str \| None` | | Content to write or append. Required for `append`. |
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| `binary` | `bool` | | If `True`, `content` is base64 on write; returns base64 on read. |
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| `recursive` | `bool` | | For `delete`: remove directories recursively. |
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| `mode` | `str` | | For `mkdir`: octal permission string (default `"0755"`). |
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<Tip>
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For files larger than a few KB, create the file first with `action="write"` and empty content, then send the body via multiple `action="append"` calls of ~4 KB each to stay within tool-call payload limits.
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</Tip>
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