* feat: execute_code runs on remote terminal backends (Docker/SSH/Modal/Daytona/Singularity)
When TERMINAL_ENV is not 'local', execute_code now ships the script to
the remote environment and runs it there via the terminal backend --
the same container/sandbox/SSH session used by terminal() and file tools.
Architecture:
- Local backend: unchanged (UDS RPC, subprocess.Popen)
- Remote backends: file-based RPC via execute_oneshot() polling
- Script writes request files, parent polls and dispatches tool calls
- Responses written atomically (tmp + rename) via base64/stdin
- execute_oneshot() bypasses persistent shell lock for concurrency
Changes:
- tools/environments/base.py: add execute_oneshot() (delegates to execute())
- tools/environments/persistent_shell.py: override execute_oneshot() to
bypass _shell_lock via _execute_oneshot(), enabling concurrent polling
- tools/code_execution_tool.py: add file-based transport to
generate_hermes_tools_module(), _execute_remote() with full env
get-or-create, file shipping, RPC poll loop, output post-processing
* fix: use _get_env_config() instead of raw TERMINAL_ENV env var
Read terminal backend type through the canonical config resolution
path (terminal_tool._get_env_config) instead of os.getenv directly.
* fix: use echo piping instead of stdin_data for base64 writes
Modal doesn't reliably deliver stdin_data to chained commands
(base64 -d > file && mv), producing 0-byte files. Switch to
echo 'base64' | base64 -d which works on all backends.
Verified E2E on both Docker and Modal.
- Added a new section in the README for Inference Providers, detailing setup instructions for Nous Portal, OpenRouter, and Custom Endpoints, improving user guidance for LLM connections.
- Updated messaging platform setup instructions to include Slack and WhatsApp, providing clearer steps for configuration.
- Introduced a new environment variable, TERMINAL_SANDBOX_DIR, to allow users to customize the sandbox storage location for Docker and Singularity environments.
- Refactored the Docker and Singularity environment classes to utilize the new sandbox directory for persistent workspaces, enhancing organization and usability.
- Improved handling of working directories across various environments, ensuring compatibility and clarity in execution paths.
