chore: update version to 0.2.1

2026-07-05 10:17:28 +01:00
parent 1d117ff277
commit df54d8498c
8 changed files with 21 additions and 7 deletions
@@ -5,5 +5,5 @@
  <rect x="54" y="5" width="62" height="24" rx="6" fill="#1565c0"/>
  <text x="85" y="22" text-anchor="middle"
        font-family="Inter, -apple-system, system-ui, sans-serif"
-        font-size="13" font-weight="700" fill="#ffffff">v0.2.0</text>
+        font-size="13" font-weight="700" fill="#ffffff">v0.2.1</text>
 </svg>
@@ -5,5 +5,5 @@
  <rect x="54" y="5" width="62" height="24" rx="6" fill="#2563eb"/>
  <text x="85" y="22" text-anchor="middle"
        font-family="Inter, -apple-system, system-ui, sans-serif"
-        font-size="13" font-weight="700" fill="#ffffff">v0.2.0</text>
+        font-size="13" font-weight="700" fill="#ffffff">v0.2.1</text>
 </svg>
@@ -29,6 +29,9 @@ _KNOWN_MODEL_CONTEXT_WINDOWS: dict[str, int] = {
    # Covers OpenRouter ``minimax/minimax-m3`` (via split('/')[-1]) and direct
    # ``MiniMax-M3`` (via lowercased exact match).
    "minimax-m3": 1_000_000,
    # Zhipu GLM-5.2 — 1M context, an exception to the ``glm-5`` family (203K).
    # Matches OpenRouter ``z-ai/glm-5.2`` via split('/')[-1].
    "glm-5.2": 1_000_000,
 }
 # Family-level fallbacks: tried only after exact-name lookup misses.
@@ -85,6 +85,7 @@ _MODEL_ENTRIES: list[tuple[str, str, str]] = [
    # Anthropic (current generation)
    ("claude-fable-5", "claude-fable-5", "anthropic"),
    ("claude-opus-4-8", "claude-opus-4-8", "anthropic"),
    ("claude-sonnet-5", "claude-sonnet-5", "anthropic"),
    ("claude-sonnet-4-6", "claude-sonnet-4-6", "anthropic"),
    ("claude-haiku-4-5", "claude-haiku-4-5", "anthropic"),
    # OpenAI
@@ -122,6 +123,7 @@ _MODEL_ENTRIES: list[tuple[str, str, str]] = [
    # NVIDIA
    ("nemotron-super", "nvidia/nemotron-3-super-120b-a12b", "nvidia"),
    ("nemotron-nano", "nvidia/nemotron-3-nano-30b-a3b", "nvidia"),
    ("glm-5.2", "z-ai/glm-5.2", "nvidia"),
    ("glm4.7", "z-ai/glm4.7", "nvidia"),
    ("deepseek-v3.2", "deepseek-ai/deepseek-v3.2", "nvidia"),
    ("deepseek-v3.1", "deepseek-ai/deepseek-v3.1-terminus", "nvidia"),
@@ -133,6 +135,7 @@ _MODEL_ENTRIES: list[tuple[str, str, str]] = [
    ("step-3.5-flash", "stepfun-ai/step-3.5-flash", "nvidia"),
    # SiliconFlow
    ("minimax-m2.5", "Pro/MiniMaxAI/MiniMax-M2.5", "siliconflow"),
    ("glm-5.2", "Pro/zai-org/GLM-5.2", "siliconflow"),
    ("glm-5", "Pro/zai-org/GLM-5", "siliconflow"),
    ("kimi-k2.5", "Pro/moonshotai/Kimi-K2.5", "siliconflow"),
    ("glm-4.7", "Pro/zai-org/GLM-4.7", "siliconflow"),
@@ -140,6 +143,7 @@ _MODEL_ENTRIES: list[tuple[str, str, str]] = [
    ("claude-fable-5", "anthropic/claude-fable-5", "openrouter"),
    ("claude-opus-4.8", "anthropic/claude-opus-4.8", "openrouter"),
    ("claude-opus-4.8-fast", "anthropic/claude-opus-4.8-fast", "openrouter"),
    ("claude-sonnet-5", "anthropic/claude-sonnet-5", "openrouter"),
    ("claude-sonnet-4.6", "anthropic/claude-sonnet-4.6", "openrouter"),
    ("gpt-5.5-pro", "openai/gpt-5.5-pro", "openrouter"),
    ("gpt-5.5", "openai/gpt-5.5", "openrouter"),
@@ -149,6 +153,7 @@ _MODEL_ENTRIES: list[tuple[str, str, str]] = [
    ("gemini-3.1-pro", "google/gemini-3.1-pro-preview", "openrouter"),
    ("gemini-3-flash", "google/gemini-3-flash-preview", "openrouter"),
    ("kimi-k2.6", "moonshotai/kimi-k2.6", "openrouter"),
    ("glm-5.2", "z-ai/glm-5.2", "openrouter"),
    ("glm-5v-turbo", "z-ai/glm-5v-turbo", "openrouter"),
    ("minimax-m3", "minimax/minimax-m3", "openrouter"),
    ("mimo-v2.5-pro", "xiaomi/mimo-v2.5-pro", "openrouter"),
@@ -162,12 +167,14 @@ _MODEL_ENTRIES: list[tuple[str, str, str]] = [
    ("deepseek-v4-pro", "deepseek/deepseek-v4-pro", "openrouter"),
    ("deepseek-v4-flash", "deepseek/deepseek-v4-flash", "openrouter"),
    # Zhipu CodePlan (智谱代码计划 — coding-only endpoint)
    ("glm-5.2", "glm-5.2", "zhipu-code"),
    ("glm-5.1", "glm-5.1", "zhipu-code"),
    ("glm-5", "glm-5", "zhipu-code"),
    ("glm-5-turbo", "glm-5-turbo", "zhipu-code"),
    ("glm-5v-turbo", "glm-5v-turbo", "zhipu-code"),
    ("glm-4.7", "glm-4.7", "zhipu-code"),
    # Zhipu (智谱 — general endpoint, default for simple lookups)
    ("glm-5.2", "glm-5.2", "zhipu"),
    ("glm-5.1", "glm-5.1", "zhipu"),
    ("glm-5", "glm-5", "zhipu"),
    ("glm-5-turbo", "glm-5-turbo", "zhipu"),
@@ -10,7 +10,7 @@
 <a href="https://pypi.org/project/EvoScientist/"><picture>
  <source media="(prefers-color-scheme: light)" srcset="https://raw.githubusercontent.com/EvoScientist/EvoScientist/main/.github/assets/badge-pypi-light.svg">
  <source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/EvoScientist/EvoScientist/main/.github/assets/badge-pypi-dark.svg">
-  <img alt="PyPI v0.2.0" src="https://raw.githubusercontent.com/EvoScientist/EvoScientist/main/.github/assets/badge-pypi-light.svg" height="28">
+  <img alt="PyPI v0.2.1" src="https://raw.githubusercontent.com/EvoScientist/EvoScientist/main/.github/assets/badge-pypi-light.svg" height="28">
 </picture></a><a href="https://EvoScientist.github.io/"><picture>
  <source media="(prefers-color-scheme: light)" srcset="https://raw.githubusercontent.com/EvoScientist/EvoScientist/main/.github/assets/badge-website-light.svg">
  <source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/EvoScientist/EvoScientist/main/.github/assets/badge-website-dark.svg">
@@ -123,6 +123,7 @@ Moving beyond traditional human-in-the-loop systems, EvoScientist adopts a human
 ## ✨ Features
 - **🤖 Multi-Agent Team** — 6 sub-agents (plan, research, code, debug, analyze, write) working in concert.
 - **🧠 Self-Evolving Memory** — Auto-distilled each turn, self-linking into a knowledge graph that grows across sessions.
 - **🛠️ AutoSkills** — Distills recurring patterns from its own memory into reusable skills on a schedule — proposed for your review via `/autoskills`.
 - **🌐 Multi-Provider** — Anthropic, OpenAI, Google, MiniMax, NVIDIA — one config to switch.
 - **📱 Multi-Channel** — CLI as the hub; Telegram, Slack, Feishu, WeChat, and more — one agent session.
 - **🖥️ Desktop WebUI** — Workspace-panel web app, one terminal via `--ui webui`.
@@ -150,7 +151,8 @@ Moving beyond traditional human-in-the-loop systems, EvoScientist adopts a human
 <details>
 <summary>📦 Release Highlights — version changelog</summary>
- **[26 Jun 2026]** **[v0.2.0](https://github.com/EvoScientist/EvoScientist/releases/tag/v0.2.0)** — **Autonomy milestone.** Scheduled tasks: cron-style recurring runs you set up with `/schedule` or natural language, running unattended with shell-access gating for safety; self-linking memory that connects related observations into a knowledge graph (complements / contradicts / supersedes) as it grows; a read-only **`GET /api/models`** endpoint exposing the model registry to the WebUI picker; the main agent now always keeps its memory tools available; deps: deepagents 0.6.12 / langchain-quickjs 0.3.2.
+- **[05 Jul 2026]** **[v0.2.1](https://github.com/EvoScientist/EvoScientist/releases/tag/v0.2.1)** — AutoSkills: EvoMemory drafts reusable skills from its own observation clusters for you to review via `/autoskills`; a new `--output-format stream-json` for headless / SDK clients; richer slash-command completions; Windows UTF-8 config reads; a TUI welcome-banner fix; langchain-openrouter 0.2.5.
 - **[26 Jun 2026]** **[v0.2.0](https://github.com/EvoScientist/EvoScientist/releases/tag/v0.2.0)** — Scheduled tasks: cron-style recurring runs via `/schedule` or natural language, run unattended with shell-access gating; self-linking memory that connects observations into a knowledge graph (complements / contradicts / supersedes); a read-only `GET /api/models` endpoint for the WebUI model picker.
 - **[23 Jun 2026]** **[v0.1.9](https://github.com/EvoScientist/EvoScientist/releases/tag/v0.1.9)** — Hotfix for fresh installs: the first message crashed with `The subagent `task` tool cannot be exposed via `ptc`` after deepagents 0.6.11 / langchain-quickjs 0.3 reserved `task` as the REPL global. Removed `task` from the code-interpreter PTC allowlist (`task()` stays available as the REPL global; async dispatch stays in PTC) and pinned `deepagents[quickjs]~=0.6.11`.
 - **[22 Jun 2026]** **[v0.1.8](https://github.com/EvoScientist/EvoScientist/releases/tag/v0.1.8)** — LangGraph gateway layer: UI-agnostic graph & thread access shared across CLI / TUI / serve / channel; OpenRouter Anthropic prompt caching now **on by default** (opt out with `openrouter_anthropic_prompt_cache=false`); slash-command Enter now submits correctly when a command name prefixes another; pre-commit ruff bump.
 - **[16 Jun 2026]** **[v0.1.7](https://github.com/EvoScientist/EvoScientist/releases/tag/v0.1.7)** — Memory retrieval: agents run a per-task preflight over stored observations (`search_observations` ranked keyword search + `read_memory`); multi-stage slash-command completions with subcommand awareness; Windows reliability fixes (async MCP tool execution + graph-state recovery after interruptions, `cmd.exe` path quoting); quoted virtual-path handling; deepagents 0.6.10.
@@ -15,7 +15,7 @@
 <a href="https://pypi.org/project/EvoScientist/"><picture>
  <source media="(prefers-color-scheme: light)" srcset="https://raw.githubusercontent.com/EvoScientist/EvoScientist/main/.github/assets/badge-pypi-light.svg">
  <source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/EvoScientist/EvoScientist/main/.github/assets/badge-pypi-dark.svg">
-  <img alt="PyPI v0.2.0" src="https://raw.githubusercontent.com/EvoScientist/EvoScientist/main/.github/assets/badge-pypi-light.svg" height="28">
+  <img alt="PyPI v0.2.1" src="https://raw.githubusercontent.com/EvoScientist/EvoScientist/main/.github/assets/badge-pypi-light.svg" height="28">
 </picture></a><a href="https://EvoScientist.github.io/"><picture>
  <source media="(prefers-color-scheme: light)" srcset="https://raw.githubusercontent.com/EvoScientist/EvoScientist/main/.github/assets/badge-website-light.svg">
  <source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/EvoScientist/EvoScientist/main/.github/assets/badge-website-dark.svg">
@@ -131,6 +131,7 @@ EvoScientist 超越了传统的人在回路（Human-in-the-Loop）模式，采
 - **🤖 多智能体协作** — 6 个子智能体（规划、调研、编码、调试、分析、写作）协同工作。
 - **🧠 自进化记忆** — 每轮自动提炼并连成知识图谱，跨会话持续进化。
 - **🛠️ AutoSkills 自建技能** — 定期从自身记忆中提炼重复模式，起草为可复用技能——通过 `/autoskills` 供你审核。
 - **🌐 多模型供应商** — Anthropic、OpenAI、Google、MiniMax、NVIDIA——一处配置，随时切换。
 - **📱 多渠道接入** — CLI 为中心；Telegram、Slack、飞书、微信等——共享同一智能体会话。
 - **🖥️ Desktop WebUI** — 单终端 `--ui webui` 启动带工作区面板的 Web 应用。
@@ -159,7 +160,8 @@ EvoScientist 超越了传统的人在回路（Human-in-the-Loop）模式，采
 <details>
 <summary>📦 版本更新摘要（changelog）</summary>
- **[2026 年 6 月 26 日]** **[v0.2.0](https://github.com/EvoScientist/EvoScientist/releases/tag/v0.2.0)** — **自主化里程碑。** 定时任务：用 `/schedule` 或自然语言设置 cron 风格的重复运行，无人值守执行并对 shell 访问做安全门控；记忆自连成图：相互关联的观察记录连成知识图谱（互补 / 矛盾 / 取代）并持续生长；新增只读 **`GET /api/models`** 端点，向 WebUI 模型选择器暴露模型注册表；主智能体现在始终保留记忆工具；依赖：deepagents 0.6.12 / langchain-quickjs 0.3.2。
+- **[2026 年 7 月 5 日]** **[v0.2.1](https://github.com/EvoScientist/EvoScientist/releases/tag/v0.2.1)** — AutoSkills：EvoMemory 从自身的观察记录聚类中起草可复用技能，供你用 `/autoskills` 审核；新增面向无头 / SDK 客户端的 `--output-format stream-json`；更丰富的斜杠命令补全；修复 Windows UTF-8 配置读取；TUI 欢迎横幅修复；langchain-openrouter 升级到 0.2.5。
 - **[2026 年 6 月 26 日]** **[v0.2.0](https://github.com/EvoScientist/EvoScientist/releases/tag/v0.2.0)** — 定时任务：用 `/schedule` 或自然语言设置 cron 风格的重复运行，无人值守并对 shell 访问做门控；记忆自连成图：将观察记录连成知识图谱（互补 / 矛盾 / 取代）；新增只读 `GET /api/models` 端点，供 WebUI 模型选择器使用。
 - **[2026 年 6 月 23 日]** **[v0.1.9](https://github.com/EvoScientist/EvoScientist/releases/tag/v0.1.9)** — 新安装热修复：deepagents 0.6.11 / langchain-quickjs 0.3 将 `task` 保留为 REPL 全局后,首次对话即崩溃（`The subagent `task` tool cannot be exposed via `ptc``）。从 code-interpreter 的 PTC 白名单移除 `task`（`task()` 仍作为 REPL 全局可用,异步分发工具继续保留在 PTC 中），并将 deepagents pin 升级到 `~=0.6.11`。
 - **[2026 年 6 月 22 日]** **[v0.1.8](https://github.com/EvoScientist/EvoScientist/releases/tag/v0.1.8)** — LangGraph gateway 层：CLI / TUI / serve / channel 共用、UI 无关的图与线程访问；OpenRouter Anthropic prompt caching **默认开启**（通过 `openrouter_anthropic_prompt_cache=false` 关闭）；命令名互为前缀时 Enter 现在能正确提交斜杠命令；pre-commit ruff 升级。
 - **[2026 年 6 月 16 日]** **[v0.1.7](https://github.com/EvoScientist/EvoScientist/releases/tag/v0.1.7)** — 记忆检索：agent 在每个任务开始前对历史 observation 做 preflight 检索（`search_observations` 关键词排序检索 + `read_memory`）；多级斜杠命令补全（带子命令感知）；Windows 稳定性修复（async MCP 工具执行 + 中断后图状态恢复、`cmd.exe` 路径转义）；含空格的虚拟路径处理；deepagents 0.6.10。
@@ -1,6 +1,6 @@
 [project]
 name = "EvoScientist"
-version = "0.2.0"
+version = "0.2.1"
 description = "EvoScientist: Towards Self-Evolving AI Scientists for End-to-End Scientific Discovery"
 readme = "README.md"
 requires-python = ">=3.11"