Add agent detection library #4287
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Adds libs/agent package to detect agents (Claude Code, Gemini CLI, Cursor) via environment variables. Used in user agent tracking and available for telemetry and conditional behavior. Detection only succeeds when exactly one agent environment variable is set, preventing ambiguous detection in environments with multiple agents. Implementation: - libs/agent: Detection logic with Detect(), Product(), and Mock() - cmd/root: Integrated agent detection into command execution - Test config: Clear agent env vars in acceptance tests to prevent interference with test outputs Environment variable sources: - CLAUDECODE=1: anthropics/claude-code#531 - GEMINI_CLI=1: https://github.com/google-gemini/gemini-cli/blob/main/docs/cli/commands.md - CURSOR_AGENT=1: https://forum.cursor.com/t/cursor-cli-is-not-setting-cursor-agent-1-environment-variable-while-executing-bash-commands/132427 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <[email protected]>
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Commit: c299cef
21 interesting tests: 10 KNOWN, 8 RECOVERED, 2 flaky, 1 SKIP
Top 48 slowest tests (at least 2 minutes):
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| claudeCodeEnvVar = "CLAUDECODE" | ||
| geminiCliEnvVar = "GEMINI_CLI" | ||
| cursorAgentEnvVar = "CURSOR_AGENT" | ||
| ) |
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As discussed offline, Codex seems to set CODEX_SANDBOX.
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I'll submit a separate PR for this.
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This packages was added in #4287 and centralizes agent detection.
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Commit: 48d2d47
72 interesting tests: 26 FAIL, 23 KNOWN, 22 BUG, 1 SKIP
Top 50 slowest tests (at least 2 minutes):
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pietern
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Jan 19, 2026
## Why This packages was added in #4287 and centralizes agent detection. ## Tests Manually confirmed install with `CLAUDECODE=1` and `CURSOR_AGENT=1`.
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Adds libs/agent package to detect AI agents (Claude Code, Gemini CLI, Cursor) via environment variables. Used in user agent tracking and available for telemetry and (future, optional) conditional behavior.
Detection only succeeds when exactly one agent environment variable is set, preventing ambiguous detection in environments with multiple agents.
Implementation:
Environment variable sources: