chernistry/bernstein

v1.7.0 Feature

This release adds 2 notable features for engineering teams evaluating rollout.

Published 1mo AI Agents & Assistants

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✓ 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

Added 'Built with Bernstein' README badge, API quota tracking with alerts and image optimization.

Full changelog

v1.7.0

New features

add bernstein cost CLI with cache tracking and peak-hour scheduling
add API quota tracking with alerts and agent image optimization
add 'Built with Bernstein' badge to README

Bug fixes

ci: eliminate tick guard race condition with event-based sync
ci: increase tick guard sleep for slow macOS CI VMs
cleanup workflow now deletes orphaned runs from deleted workflows

Documentation

update README comparison table date and adapter count
update TROUBLESHOOTING, LIFECYCLE, MODEL_POLICY, and operational docs
update ARCHITECTURE, DESIGN, GETTING_STARTED, CONFIG to match current code
update ADAPTER_GUIDE, FEATURE_MATRIX, compatibility, GLOSSARY with current features
update README and root docs to reflect current architecture

CI / Infrastructure

disable cancel-in-progress to let CI complete
make SonarCloud non-blocking (continue-on-error)
fix empty schedule blocks causing unnamed workflows in sidebar
workflow audit cleanup
add manual workflow to bulk-delete failed/cancelled/skipped action runs
remove redundant tests from Publish workflow

Style

ruff format 3 new cost/quota files

Chores

v1.7.0 - workflow cleanup + code scanning fixes

Full changelog: https://github.com/chernistry/bernstein/compare/v1.6.11...v1.7.0

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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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