SaaS Metrics
Gemini Executive Synthesis
ARIS integration with Feishu (飞书) via Claude Code in bidirectional interactive mode.
Technical Positioning
Enabling seamless, bidirectional communication and interaction between ARIS (using Claude Code) and enterprise collaboration platforms like Feishu, supporting 'autonomous ML research' within existing workflows.
SaaS Insight & Market Implications
This issue highlights a critical failure in ARIS's integration with Feishu (飞书) when operating in bidirectional interactive mode. While messages are received, the system fails to generate replies, rendering the interactive functionality broken. This directly impedes ARIS's ability to facilitate 'autonomous ML research' within enterprise communication platforms, as real-time feedback and collaborative loops are essential. The distinction between functional 'push mode' and broken 'bidirectional interactive mode' points to a specific flaw in the response generation or delivery mechanism within the interactive setup. This significantly limits ARIS's utility for teams relying on Feishu for collaborative agent-driven workflows.
Proprietary Technical Taxonomy
Raw Developer Origin & Technical Request
GitHub Issue
Mar 14, 2026
Repo: wanshuiyin/Auto-claude-code-research-in-sleep
claude code接入飞书 双向交互模式能收到消息但没有回复
**claude code接入飞书 双向交互模式能收到消息但没有回复**
**推送模式正常；桥接启动正常**
飞书配置如下：
Developer Debate & Comments
感谢反馈！飞书这个东西我昨天也配了很久跑通 （所以飞书我最建议是false或者只推送进度，有问题回工作做hhh）。 不过这个问题我们在搭建时也遇到过，能收到消息但不回复，我让cc总结了一下， 希望对你有用，或者进一步贴出来问题，大致就是权限，发版，而且需要私聊，环境啥的问题： ## 最常见原因：权限或桥接配置 ### 1. 检查飞书应用权限 确保你的飞书应用开通了以下**全部**权限，并且**发布了新版本**（改权限后必须重新发版才生效）： - `im:message` — 获取与发送单聊、群聊消息 - `im:message.p2p_msg:readonly` — 接收私聊消息 - `im:message:send_as_bot` — 以机器人身份发送消息（**这个最容易漏！没有这个权限就只能收不能发**） ### 2. 检查桥接日志 看 feishu-claude-code 的日志，确认收到消息后是否在调用 Claude Code： ```bash # 如果用 screen 跑的 screen -r feishu-bridge # 或直接看日志 cat /path/to/feishu-claude-code/logs/*.log ``` 关注： - 有没有 `received message` 之类的日志（说明消息到了桥接） - 有没有 Claude Code 调用的报错（API key、模型不可用等） - 有没有发送回复的报错（权限不足、token 过期等） ### 3. 检查 `.env` 配置 ```bash # 确认这几项都填对了 FEISHU_APP_ID=cli_xxx # 应用凭证页面 FEISHU_APP_SECRET=xxx # 应用凭证页面 DEFAULT_CWD=/your/project # Claude Code 工作目录 ``` ### 4. 试试发 `/new` 重置会话 在飞书私聊里给机器人发 `/new`，重置 Claude Code session，然后再发消息试试。 ### 5. 事件订阅的坑 从你的截图看配置页面是对的，但有一个容易踩的坑： > **如果你在桥接启动之前就发布了应用版本**，事件订阅可能没有正确保存。解决方法：先确保桥接在运行（`pyt...
**桥接输出如下图，没有显示received message之类的日志， 同时也没有/path/to/feishu-claude-code/logs/*.log这一路径**
Adjacent Repository Pain Points
Other highly discussed features and pain points extracted from wanshuiyin/Auto-claude-code-research-in-sleep.
Extracted Positioning
ARIS compatibility with OpenAI Codex.
Maintaining broad LLM agent compatibility ('works with Claude Code, Codex, OpenClaw, or any LLM agent') to offer flexibility and avoid vendor lock-in.
Top Replies
> No description provided. 我们即将给一个md 文档描述怎么适配，但是现在git仓库有点问题，不能fork 请稍等
> No description provided. 现在已经适配Cursor 和单独一个Codex Subagent review，欢迎体验～
> > No description provided. > > 现在已经适配Cursor 和单独一个Codex Subagent review，欢迎体验～ 出现代码问题时，能否让他把问题写进code_guide.md文件，然后等待人接入，如果一段时间没人介入就自动cli端...
Extracted Positioning
Connectivity and model compatibility issues with MCP Codex and various GPT models
Flexible, multi-LLM agent platform for autonomous ML research
Top Replies
> 有时会出现codex返回400错误代码的情况，然后一路从5.4降到4o，最后不显示模型了，那最后用的什么模型呢？ > > > Error: {"type":"error","status":400,"error":{"type":"invalid_request_error","message":"...
> > 有时会出现codex返回400错误代码的情况，然后一路从5.4降到4o，最后不显示模型了，那最后用的什么模型呢？ > > > Error: {"type":"error","status":400,"error":{"type":"invalid_request_error","message"...
> > > 有时会出现codex返回400错误代码的情况，然后一路从5.4降到4o，最后不显示模型了，那最后用的什么模型呢？ > > > > Error: {"type":"error","status":400,"error":{"type":"invalid_request_error","mess...
Extracted Positioning
ARIS research pipeline automation with GLM-5 + MiniMAX 2.5 LLM combination.
Achieving full, uninterrupted automation for research pipelines, as implied by 'AUTO_PROCEED: true' and the 'autonomous' nature of ARIS.
Top Replies
我opus 4.6 + gpt 5.4 xhigh fast /research-pipeline — AUTO_PROCEED: true 也会断
好奇，这个项目真的可以拿下a会吗？
Extracted Positioning
ARIS (Auto-Research-In-Sleep) with 阿里百炼 (Ali Bailian) LLM agent.
Ensuring stable, uninterrupted execution of long-running autonomous ML research tasks, particularly when integrating with specific LLM providers and network configurations (proxies, SSH).
Top Replies
同样的问题，执行到一半就停了
一样的情况，不稳定
Extracted Positioning
Workflow 3 usage for paper writing on Windows
Accessible autonomous ML research and content generation across platforms
Frequently Asked Questions
Market intelligence mapped to ARIS integration with Feishu (飞书) via Claude Code in bidirectional interactive mode..
What is the technical positioning of ARIS integration with Feishu (飞书) via Claude Code in bidirectional interactive mode.?
Based on our AI analysis of the original developer request, its primary technical positioning is: Enabling seamless, bidirectional communication and interaction between ARIS (using Claude Code) and enterprise collaboration platforms like Feishu, supporting 'autonomous ML research' within existing workflows.
What is the general sentiment around ARIS integration with Feishu (飞书) via Claude Code in bidirectional interactive mode.?
Yes, we have tracked 2 direct responses and active debates regarding this specific topic originating from GitHub Issue.
What are the foundational technologies related to ARIS integration with Feishu (飞书) via Claude Code in bidirectional interactive mode.?
Our proprietary extraction maps ARIS integration with Feishu (飞书) via Claude Code in bidirectional interactive mode. to adjacent architectural concepts including claude code, 飞书, bidirectional interactive mode, push mode.
Are developers creating tools for ARIS integration with Feishu (飞书) via Claude Code in bidirectional interactive mode.?
Yes, open-source adoption is correlated. An active project titled 'wanshuiyin/Auto-claude-code-research-in-sleep' explores similar frameworks: ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and exper...
Engagement Signals
Cross-Market Term Frequency
Quantifies the cross-market adoption of foundational terms like claude code and 飞书 by tracking occurrence frequency across active SaaS architectures and enterprise developer debates.