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Description
Enhanced the code executor server with two major improvements:
Server Details
Motivation and Context
This update addresses two important limitations:
These improvements make the code executor more versatile across different Python environment management approaches while solving token limitation challenges without requiring changes to the LLM client.
How Has This Been Tested?
Breaking Changes
No breaking changes. All existing functionality remains intact, with environment selection now configurable and new code generation tools added alongside the original methods.
Types of changes
Checklist
Additional context
The environment configuration is now more flexible, allowing users to switch between conda, virtualenv, and UV virtualenv at runtime. All tools properly respect the environment configuration and activate the correct environment before execution. The incremental code generation tools maintain consistent environment activation patterns across all supported environment types.