This release adds 3 notable features for engineering teams evaluating rollout.
✓ No known CVEs patched in this version
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Summary
AI summaryHandoff tokens now prefixed with h_ to prevent misparsing when a leading hyphen appears.
Full changelog
v1.10.1
A tightening release: one new adapter, one operator-facing run-time signal, and a handful of bugs that surfaced under less-forgiving conditions (CI on Python 3.12, on-prem evaluation, downstream packaging). 31 adapters now, 1014 tests, multi-OS CI green on Python 3.12 and 3.13.
Adapters
- Devin for Terminal (Cognition). First-class adapter for Cognition's enterprise coding agent. 558 lines of contract tests verify the spawn surface mirrors the long-running adapter pattern — process tracking, env isolation, timeout watchdogs. Drop-in for any plan via
cli_agent: devin_terminal. - Cursor adapter, corrected. The previous code shelled a non-existent
cursor agentbinary with fictional flags; rewritten against the realcursor-agentCLI surface (-p --workspace --output-format stream-json --trust --approve-mcps --force), 242 lines of new contract tests so it can't regress. Better to fix it loud than ship vapor.
Operator surfaces
- Run savings summary. Each
bernstein runsummary card now reports estimated savings vs running the same plan single-shot through the most expensive routed model. Cost-aware routing decisions become legible inline instead of needing a follow-upjqover.sdd/runtime/costs.jsonl.
Reliability
- Handoff tokens prefixed with
h_.secrets.token_urlsafe()produces a--leading token in roughly 1.5% of issuances; click then misparsesbernstein handoff claim TOKENas if-Vwere an option. CI flake on 3.12 surfaced it; fix is at the source so every randomly-issued token works.
Documentation
- Enterprise evaluation guide — deployment shapes Bernstein already supports (laptop tool, on-prem cluster, air-gap-clean wheelhouse, MCP server mode behind a corporate egress proxy) and the audit, lineage, and operator surfaces you'd want to interrogate before bringing it inside a regulated perimeter.
- Use-case workflows page (
docs/use-cases.md) — four most-asked patterns: continuous codebase audit, stale-PR triage, parallel adapter benchmarking, post-mortem evidence pack. Contributed by @zerone0x via #1048. - Internal scheduler-LLM example bumped from
gemini-2.5-protogemini-3.1-proso the README matches model strings adapters actually accept. - Author identity surfaces (sameAs / rel=me / twitter:creator) reconciled across bernstein.run, alexchernysh.com, and the SoftwareApplication JSON-LD on the docs site.
Tooling
- README's CodeTrendy banner shrunk from a 104px image strip to an inline shields.io badge.
--max-agentsdoc references replaced with the realBERNSTEIN_MAX_AGENTSenv var (the public surface since 1.8).
Recent direction
For context if you're discovering Bernstein with this release: the past two weeks have been compounding rather than headline-grabbing.
clmadapter — wraps OpenAI-compatible LLM gateways (on-prem inference, corporate AI gateways, sovereign-cloud serving) with master-credential filtering at spawn time, scoped per-spawn tokens, and lineage emission shaped like an MLflow run record (#1012).- Air-gap distribution — wheelhouse build + cosign signing +
--allow-network HOST|CIDR|none|anypolicy + 17 adapters declaring their external endpoints.bernstein verifywalks each wheel against a signedMANIFEST.json;--profile airgapis opt-in but enforced default-deny (#1015). - Regulatory lineage — per-artifact trail extended with
regulatory_classand customer-supplied Ed25519 detached signatures; v1 records read back unchanged. Exporter → CSV / JSON-LD / HTML for compliance handoff (#1013). - AST-aware reviewer chunking — TreeSitter-backed; the reviewer sees a class as one unit instead of three half-classes (#993).
- Lethal-trifecta capability matrix — declarative tool↔surface↔egress checks, enforced before spawn rather than at post-hoc audit (#1002).
- HMAC-chained audit log — append-only JSONL with HMAC chain and rotation; lineage and trifecta gates build on top.
Not all of this is in 1.10.1 itself. Most landed across 1.9.x and 1.10.0. Calling them out so the trajectory is legible if you're triaging the project from a single release page.
Full changelog: https://github.com/sipyourdrink-ltd/bernstein/compare/v1.10.0...v1.10.1
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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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Beta — feedback welcome: [email protected]