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Bereket Engida 27e99ed814 feat: enhance AI message management and add E2B template support
- Implemented AI message limit checks and usage tracking for users, allowing for better management of AI interactions.
- Added a new E2B template configuration option in the environment file and created a Dockerfile for E2B sandbox setup.
- Introduced a ReadmeToolbar component for improved README interaction, including options to copy markdown and open in various chat services.
- Updated various components to handle AI message limits and improve user feedback on message status.
2026-02-24 14:49:37 -08:00

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# This is a config for E2B sandbox template.
# You can use template ID (kl532r7sp7aaymfcacl6) to create a sandbox:
# Python SDK
# from e2b import Sandbox, AsyncSandbox
# sandbox = Sandbox.create("kl532r7sp7aaymfcacl6") # Sync sandbox
# sandbox = await AsyncSandbox.create("kl532r7sp7aaymfcacl6") # Async sandbox
# JS SDK
# import { Sandbox } from 'e2b'
# const sandbox = await Sandbox.create('kl532r7sp7aaymfcacl6')
team_id = "18cf02ed-5dd6-4a43-af37-11a7087d33c3"
dockerfile = "e2b.Dockerfile"
template_id = "kl532r7sp7aaymfcacl6"