Team
Shared credential for production and unattended runs.
Connect Code Interpreter with Hookshot™ and your stack
CodeInterpreter extends Python-based coding environments with integrated data analysis, enabling developers to run scripts, visualize results, and prototype solutions inside supported platforms
Tools and triggers
What Agents can do in Code Interpreter
Available tools and events after Code Interpreter is connected.
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Create Sandbox
Create a sandbox to execute python code in a Jupyter notebook cell. This is useful for agents to communicate, execute code, see output, read files, write files, etc. It's like you own personal computer, but in the…
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Execute Code
Execute python code in a sandbox and return any result, stdout, stderr, and error. Use /home/user folder to write/read files. Try to not use plt.show() as the code is executed remotely. Use files for image/chart output…
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Get File
Get a file from the sandbox and returns the file. The files should be read from /home/user folder.
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Run Terminal Command
Run a command in the terminal and returns the stdout, stderr, and error code. Use /home/user folder to write/read files.
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Upload File
Upload a file to the sandbox environment. The files should be uploaded to the /home/user folder.
Setup
Connect Code Interpreter in Hookshot™
Pick a scope, then confirm what can start a Protege and what it can do.
Trigger Access
What can start a Protege from this app.
Tool Access
What a Protege can do after it starts.
Connection scope
Prefer team for production.
Personal
Tied to one user—only when the workflow needs their account.
Chat
Team-scoped for supported chat surfaces.
Build with us
See Hookshot™ in your stack.
Request early access or book a live walkthrough with the team.
