Dify 发布: v1.17.0

来源摘要

## New Features **Agent: E2B Sandbox, Home Snapshots, and Skill Management** - **E2B sandbox backend**: agent shell/code execution can now run on [E2B](https://e2b.dev) cloud sandboxes in addition to the local sandbox. Select the backend with `DIFY_AGENT_RUNTIME_BACKEND`; a new `docker-compose.e2b.yaml` ships the E2B stack, E2B traffic is authenticated, and the E2B template is synced on release (#39480, #39705, #39873, #39996, #40858, #40871, #40891, #40892). - **Build-time Home Snapshots**: when an agent build is applied (published), the agent's sandbox home directory — installed packages, prepared files, working state — is captured and subsequent runs of the published agent restore their home directory from that snapshot, so the agent starts from the exact filesystem state it had at build time. (#39702, #40876, #40996). - **Workspace-level Skill management**: Skills are reusable, versioned capabilities packaged with code and tool definitions that agents can discover and invoke. A new workspace-level skills manager with draft → publish → version lifecycle ships alongside a web UI (skill listing, builder panel, file editor). (#39675, #39798, #39799, #41180). - **Context-aware history compaction**: long agent conversations no longer blow past the model's context window — Dify resolves each model's effective window and tiers compaction (clear old tool results first, then summarize older history) so runs stay within budget without losing recent context (#40872). **Reusable LLM Environment Variables in Workflows** - Define a shared provider/model/mode/parameter configuration once (e.g. `for_summarize`, `for_research`) and reference it from any LLM node. Coordinated model changes now happen in one place instead of drifting node-by-node, and the references survive DSL import/