together-sandboxes
Remote Python execution in managed sandboxes on Together AI with stateful sessions, file uploads, data analysis, chart generation, and notebook-like runs via the Sandboxes API. Reach for it whenever the user wants managed remote Python execution instead of local execution, raw clusters, or full model hosting.
What this skill does
# Together Sandboxes ## Overview Use Together Sandboxes when the user wants to execute Python remotely in a managed sandbox. Typical fits: - stateful Python sessions - data analysis and chart generation - agent-generated code execution - file uploads into a remote runtime ## When This Skill Wins - The user wants remote execution rather than local shell execution - Session state needs to persist across multiple calls - The result may include display outputs such as charts - A lightweight managed runtime is enough; no custom infra is required ## Hand Off To Another Skill - Use `together-gpu-clusters` for full infrastructure control or larger distributed jobs - Use `together-dedicated-containers` for custom containerized runtime logic - Use `together-chat-completions` if the user only wants generated code, not executed code ## Quick Routing - **Remote execution with session reuse** - Start with [scripts/execute_with_session.py](scripts/execute_with_session.py) or [scripts/execute_with_session.ts](scripts/execute_with_session.ts) - **Response schema and session listing** - Read [references/api-reference.md](references/api-reference.md) - **MCP-style access for agent workflows** - Read [references/api-reference.md](references/api-reference.md) ## Workflow 1. Decide whether the task needs code execution or only code generation. 2. Start a session with `client.code_interpreter.execute()`. 3. Reuse `session_id` when the workflow depends on prior state. 4. Inspect `stdout`, `stderr`, structured outputs, and display outputs separately. 5. List sessions only when the user needs operational visibility or cleanup. ## High-Signal Rules - Python scripts require the Together v2 SDK (`together>=2.0.0`). If the user is on an older version, they must upgrade first: `uv pip install --upgrade "together>=2.0.0"`. - Treat `session_id` as part of the workflow state. - Inspect `response.errors` before assuming a run succeeded. - `plt.show()` with the Agg backend does not reliably produce `display_data` outputs. To retrieve charts, save the figure to a `BytesIO` buffer with `fig.savefig()`, base64-encode it, and print the encoded string to stdout. Parse it from the `stdout` output on the client side. See the chart example in [scripts/execute_with_session.py](scripts/execute_with_session.py). - Use this skill when the user benefits from remote stateful execution, not just because Python is involved. - If the task outgrows the sandbox model, hand off to GPU clusters or dedicated containers. ## Resource Map - **API reference**: [references/api-reference.md](references/api-reference.md) - **Alternative access patterns**: [references/api-reference.md](references/api-reference.md) - **Python workflow**: [scripts/execute_with_session.py](scripts/execute_with_session.py) - **TypeScript workflow**: [scripts/execute_with_session.ts](scripts/execute_with_session.ts) ## Official Docs - [Together Sandboxes](https://docs.together.ai/docs/together-code-interpreter) - [Sandboxes API](https://docs.together.ai/reference/tci-execute)
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