This release unlocks extended thinking for reasoning models, improves Slack formatting, eliminates redundant artifact output, and expands international reach. Alongside that, we've locked down security advisories and made your test suites faster and more reliable.
39 PRs from 4 contributors since v2026.6.29.
The OpenAI-compatible driver now correctly forwards reasoning_effort
to supported models, unlocking extended thinking and o1-style reasoning flows. If you're using Claude, o1, or other reasoning-enabled models, this is a substantial unlock for complex problem-solving agents that need to think deeply before acting.
Markdown messages sent to Slack are now automatically converted to Slack's native mrkdwn
format in the Slack sidecar. Your Slack agents now produce properly-formatted, native-looking messages instead of raw Markdown syntax — a small change that makes a big difference in readability.
Artifact read results are no longer re-spilled at the post-tool chokepoint, eliminating redundant output and keeping agent conversations cleaner. This is especially valuable in longer runs where output verbosity can distract from the actual work.
The Codex CLI now exposes which model it's configured to run, visible directly in the dashboard. No more mystery about what's powering your agents.
Dashboard and website translations have been completed and proofread across multiple languages, opening LibreFang to a global community of developers.
LIBREFANG_REGISTRY_OFFLINE
, removing network dependencies and accelerating your CI pipelines
curl -fsSL https://get.librefang.ai | sh
cargo add librefang
npm install @librefang/sdk
pip install librefang-sdk