Commit Graph
3 Commits
Author SHA1 Message Date
Peixian GongandXubin Ren 58fc34d3f4 refactor: use shutil.which() instead of shell=True for npm calls
Replace platform-specific shell=True logic with shutil.which('npm') to
resolve the full path to the npm executable. This is cleaner because:

- No shell=True needed (safer, no shell injection risk)
- No platform-specific branching (sys.platform checks removed)
- Works identically on Windows, macOS, and Linux
- shutil.which() resolves npm.cmd on Windows automatically

The npm path check that already existed in _get_bridge_dir() is now
reused as the resolved path for subprocess calls. The same pattern is
applied to channels_login().
2026-03-14 17:19:01 +08:00
Peixian GongandXubin Ren 805228e91e fix: add shell=True for npm subprocess calls on Windows
On Windows, npm is installed as npm.cmd (a batch script), not a direct
executable. When subprocess.run() is called with a list like
['npm', 'install'] without shell=True, Python's CreateProcess cannot
locate npm.cmd, resulting in:

  FileNotFoundError: [WinError 2] The system cannot find the file specified

This fix adds a sys.platform == 'win32' check before each npm subprocess
call. On Windows, it uses shell=True with a string command so the shell
can resolve npm.cmd. On other platforms, the original list-based call is
preserved unchanged.

Affected locations:
- _get_bridge_dir(): npm install, npm run build
- channels_login(): npm start

No behavioral change on Linux/macOS.
2026-03-14 17:19:01 +08:00
Peixian Gong 5cc3c03245 fix: merge tool_calls from multiple choices in LiteLLM response
GitHub Copilot's API returns tool_calls split across multiple choices:
- choices[0]: content only (tool_calls=null)
- choices[1]: tool_calls only (content=null)

The existing _parse_response only inspected choices[0], so tool_calls
were silently lost, causing the agent to never execute tools when using
github_copilot/ models.

This fix scans all choices and merges tool_calls + content, so
providers that return multi-choice responses work correctly.
Single-choice providers (OpenAI, Anthropic, etc.) are unaffected since
the loop over one choice is equivalent to the original code.
2026-03-05 15:15:37 +08:00