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deepagents

vdeepagents-code==0.1.10 scope: deepagents-code Feature

This release adds 3 notable features for engineering teams evaluating rollout.

✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

ai deepagents langchain langgraph python typescript

Summary

AI summary

Pair model API keys with their endpoints, add word‑level double‑click selection, and enable blueprint bootstrapping for Runloop sandboxes.

Changes in this release

Feature Medium

Pair model API keys with their endpoints

Pair model API keys with their endpoints

Source: llm_adapter@2026-06-05

Confidence: high

Feature Medium

Add word-level double-click selection

Add word-level double-click selection

Source: llm_adapter@2026-06-05

Confidence: high

Feature Medium

Introduce blueprint bootstrapping for Runloop sandboxes

Introduce blueprint bootstrapping for Runloop sandboxes

Source: llm_adapter@2026-06-05

Confidence: high

Bugfix Medium

Propagate runtime model switches to subagents

Propagate runtime model switches to subagents

Source: llm_adapter@2026-06-05

Confidence: high

Bugfix Medium

Guard pasted-path probes against OSError

Guard pasted-path probes against OSError

Source: llm_adapter@2026-06-05

Confidence: high

Bugfix Medium

Prevent startup import prewarm from crashing the TUI mid-upgrade

Prevent startup import prewarm from crashing the TUI mid-upgrade

Source: llm_adapter@2026-06-05

Confidence: high

Bugfix Medium

Move MCP trust state out of user config

Move MCP trust state out of user config

Source: llm_adapter@2026-06-05

Confidence: high

Full changelog

Features

Bug Fixes

  • Propagate runtime model switches to subagents (#3771) (f577182)
  • Guard pasted-path probes against OSError (#3745) (c9617d3)
  • Keep startup import prewarm from crashing the TUI mid-upgrade (#3756) (867a2e5)
  • Move MCP trust state out of user config (#3742) (a97f2fd)

Thanks to our community contributors: @yuvrxj-afk

Internal maintainers: @mdrxy

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About deepagents

Agent harness built with LangChain and LangGraph. Equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - well-equipped to handle complex agentic tasks.

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Related context

Earlier breaking changes

Beta — feedback welcome: [email protected]