# Changelog All notable user-facing changes to agent-vision-toolkit are documented in this file. ## [0.2.0] - 2026-08-14 ### Added - Let the shared Python vision client call either Chat Completions or Responses APIs, including optional reasoning effort and explicit `store: false` data handling. - Add native Anthropic Messages requests with protocol-specific authentication, image sources, optional thinking control, and text-block response extraction. - Rewrite OpenAI Chat Completions `image_url` blocks through the existing vision-description pipeline with a host-neutral channel note. - Add a fast UI restoration workflow for quick, rough first drafts while preserving page hierarchy, visible text, and native controls. - Add the project landing-page source and link the DeepSeek Harness vision bundle for users who want that integration. ### Changed - Make upstream egress explicit and resilient: connect directly by default, optionally use a configured HTTP CONNECT proxy, and fail over only when connection establishment fails instead of following ambient system proxy settings. - Make protocol-specific environment configuration authoritative and keep the existing host authentication and model compatibility behavior intact. ### Fixed - Send a browser-compatible, configurable User-Agent from the shared Python vision client so Cloudflare-backed OpenAI-compatible endpoints do not reject the default `Python-urllib` signature. - Honor `Retry-After` and retry Anthropic 529 overload responses. - Run the `glance` launcher through its interpreter on Windows and preserve `trace` SVG byte output across Windows line-ending behavior. ## [0.1.0] - 2026-08-07 ### Added - Five vision CLIs — `glance`, `ground`, `detect`, `trace`, and `crop` — plus the `vision-tools` agent skill. - Optional seamless integration: a local proxy for Codex and Claude Code, and single-file native extensions for Pi, Oh My Pi, and OpenCode. - Pasted-image and tool-fetched image support with task-aware focus hints, parallel multi-image descriptions, per-request caching, and honest failure notes. - Vision playbooks for long-screenshot OCR, UI restoration, graphic restoration, structure recovery, and GUI operation. - Community contribution, conduct, support, and security policies. - Structured issue forms and a pull request template. - GitHub funding configuration and continuous integration checks. - A bilingual funding policy and sponsorship-use statement.