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chernistry/bernstein

v1.6.3 Bugfix

This release fixes issues for SREs watching stability and regressions.

Published 1mo AI Agents & Assistants
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

agent-framework agent-orchestrator agentic-ai ai-agents ai-coding aider
+14 more
anthropic claude-code cli-tool codex-cli coding-agent deterministic-scheduler hmac-audit llm mcp-server model-context-protocol multi-agent parallel-worktrees python swe-bench

Summary

AI summary

Fixed lazy import of mcp in protocol compatibility tests to prevent CI failures when the optional package is missing.

Full changelog

v1.6.3

CI

  • Impacted-test selection for PRs — on pull requests, CI now runs scripts/run_tests.py --affected refs/remotes/origin/$BASE_REF which uses git diff to identify which test files are affected by the PR's changed source files. Unaffected tests are skipped. Reduces PR CI time by 3–5× on focused changes while still running the full suite on push-to-main.
  • Added cross-platform CI assertions (test_cross_platform_ci.py) that verify the workflow YAML structure matches expectations — catches drift between the workflow file and the test harness.

Fixed

  • Lazy-import mcp in protocol compatibility tests so CI doesn't fail when the MCP package isn't installed (it's an optional dependency).

Full changelog: https://github.com/chernistry/bernstein/compare/v1.6.2...v1.6.3

View diff on GitHub

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About chernistry/bernstein

Deterministic multi-agent orchestrator for 18 CLI coding agents (Claude Code, Codex, Cursor, Aider, Gemini CLI, OpenAI Agents SDK, and more). MCP server mode (stdio + HTTP/SSE) exposes the orchestrator to any MCP client. Git worktree isolation per agent, HMAC-chained audit trail, cost-aware model routing via contextual bandit. ~11K monthly PyPI downloads, Apache 2.0.

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Related context

Beta — feedback welcome: [email protected]