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nano_agent_evo — Evolution Session Report

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Background

This repository was automatically created by evolve_session.sh from the nano_agent_team_selfevolve project — a multi-agent framework that features an unattended self-evolution workflow.

The self-evolution system works as follows:

  1. An Evolution Architect agent analyzes the framework and proposes improvements
  2. It spawns Researcher, Auditor, and Historian agents for multi-angle research
  3. Developer agents implement changes, Tester agents verify, Reviewer agents review
  4. Each round runs in an isolated git worktree; successful rounds accumulate into a chain of branches

This session repo captures the full output of one evolution run, including all branches, reports, and the final manually-debugged result.

Session Configuration

Setting Value
Date 2026-03-06 22:58 ~ 2026-03-07 01:05
Model deepseek/deepseek-reasoner
Rounds 3 (max)
Base branch main (from upstream)
Script evolve_session.sh 3 deepseek/deepseek-reasoner --approve

Evolution Results

Round 1 — FAIL

  • Proposal: Add /export slash command for TUI conversation export
  • Direction: FEATURE — new tool + TUI command
  • Failure reason: The Developer agent accidentally modified evolve.sh, a protected file. The quality gate caught this and the round was rolled back.
  • Research findings: Auditor identified conversation export as the top user-facing gap; Researcher found observability/debugging as a hot topic.

Round 2 — FAIL

  • Failure reason: DeepSeek API returned 402 Insufficient Balance — the account ran out of credits.

Round 3 — FAIL

  • Failure reason: Same as Round 2 — insufficient API balance.

Score: 0 PASS / 3 FAIL

Manual Debug & Feature Implementation

Since all 3 rounds failed (Round 1 had the right idea but violated a constraint, Rounds 2-3 had no API budget), the feature from Round 1 was manually implemented and debugged on the main branch.

New Feature: /export Conversation Export

What it does: Users can export their TUI conversation history to Markdown, JSON, or plain text files.

Usage (TUI slash command):

/export                      # Export as markdown to ~/conversation_<timestamp>.md
/export json                 # Export as JSON
/export text /tmp/chat.txt   # Export as plain text to specific path

Usage (Agent tool): Agents can also call export_conversation as a tool to save conversations programmatically.

Files Changed

File Change
backend/tools/export_conversation.py NEW — ExportConversationTool (supports md/json/txt)
src/tui/slash_commands.py Added /export command + updated /help
main.py Wired ExportConversationTool into CLI entry point
src/tui/agent_bridge.py Wired ExportConversationTool into TUI entry point (both chat and swarm modes)

Issues Found & Fixed

  1. Protected file violation (Round 1): The evolution agent modified evolve.sh which is on the protected list. This was the root cause of Round 1 failure. The manual implementation avoids this entirely.
  2. API budget exhaustion (Rounds 2-3): DeepSeek account balance was insufficient. Not a code issue — operational constraint.
  3. Branch name conflict (origin vs git remote origin): evolve_session.sh created a branch named origin which conflicted with the git remote of the same name, causing warning: refname 'origin' is ambiguous. Fixed upstream by renaming the branch to baseline.

Verification

All tests passed:

  • ExportConversationTool: markdown, JSON, plain text export all produce correct output
  • Empty conversation edge case returns appropriate message
  • Tool schema generates valid OpenAI function calling format
  • Import chain works for both entry points (main.py and agent_bridge.py)

nano_agent_evo — 演化会话报告

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项目背景

本仓库由 nano_agent_team_selfevolve 项目的 evolve_session.sh 脚本自动创建——这是一个多 Agent 协作框架,核心特色是无人值守的自进化工作流

自进化系统的运作方式:

  1. Evolution Architect Agent 分析框架现状并提出改进方案
  2. 生成 ResearcherAuditorHistorian Agent 进行多角度调研
  3. Developer Agent 实现代码、Tester Agent 验证、Reviewer Agent 审查
  4. 每轮在隔离的 git worktree 中工作;通过的轮次累积形成分支链

本会话仓库记录了一次完整的演化运行输出,包括所有分支、报告以及最终人工 debug 的结果。

本次运行配置

配置项
日期 2026-03-06 22:58 ~ 2026-03-07 01:05
模型 deepseek/deepseek-reasoner
轮数 3(最大值)
基础分支 main(来自上游)
执行脚本 evolve_session.sh 3 deepseek/deepseek-reasoner --approve

演化结果

第 1 轮 — FAIL

  • 提案:为 TUI 添加 /export 斜杠命令,支持对话导出
  • 方向:FEATURE — 新工具 + TUI 命令
  • 失败原因:Developer Agent 意外修改了受保护文件 evolve.sh,质量门控检测到后回滚了该轮次
  • 调研发现:Auditor 认为对话导出是最大的用户功能缺口;Researcher 发现可观测性/调试是热门方向

第 2 轮 — FAIL

  • 失败原因:DeepSeek API 返回 402 Insufficient Balance——账户余额不足

第 3 轮 — FAIL

  • 失败原因:同第 2 轮——API 余额不足

得分:0 PASS / 3 FAIL

人工 Debug 与功能实现

由于 3 轮全部失败(第 1 轮方向正确但违反了约束,第 2-3 轮无 API 预算),第 1 轮提出的功能被手动实现并在 main 分支上完成 debug

新功能:/export 对话导出

功能说明:用户可以将 TUI 对话历史导出为 Markdown、JSON 或纯文本文件。

用法(TUI 斜杠命令)

/export                      # 导出为 markdown 到 ~/conversation_<timestamp>.md
/export json                 # 导出为 JSON
/export text /tmp/chat.txt   # 导出为纯文本到指定路径

用法(Agent 工具):Agent 也可以调用 export_conversation 工具以编程方式保存对话。

修改的文件

文件 变更
backend/tools/export_conversation.py 新建 — ExportConversationTool(支持 md/json/txt)
src/tui/slash_commands.py 添加 /export 命令 + 更新 /help
main.py 将 ExportConversationTool 集成到 CLI 入口
src/tui/agent_bridge.py 将 ExportConversationTool 集成到 TUI 入口(chat 和 swarm 模式)

发现并修复的问题

  1. 受保护文件违规(第 1 轮):演化 Agent 修改了受保护列表中的 evolve.sh,导致第 1 轮失败。手动实现完全避免了此问题。
  2. API 预算耗尽(第 2-3 轮):DeepSeek 账户余额不足。非代码问题——运营层面的限制。
  3. 分支名冲突origin vs git remote origin):evolve_session.sh 创建了名为 origin 的分支,与同名 git remote 冲突,导致 warning: refname 'origin' is ambiguous。已在上游修复,将分支重命名为 baseline

验证结果

所有测试通过:

  • ExportConversationTool:markdown、JSON、纯文本导出均产出正确结果
  • 空对话边界情况返回适当消息
  • 工具 schema 生成有效的 OpenAI 函数调用格式
  • 两个入口点(main.pyagent_bridge.py)的导入链均正常工作

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nano_agent_team evolution session 20260306_225817

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