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飞书API接口调用次数优化

by BobbyCat · GitHub ↗ · v1.0.0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install feishu-probe-optimize
Description
优化飞书扩展的 probe 缓存配置,将健康检查缓存延长至成功24小时、失败1小时,显著降低API调用次数。
README (SKILL.md)

飞书 Probe 优化

检测并优化飞书扩展的 probe 缓存配置,减少 API 调用次数。

问题背景

OpenClaw 的飞书扩展在每次健康检查时会调用飞书 Bot API /open-apis/bot/v3/info 来验证连接状态。健康检查每分钟执行一次。

飞书免费额度:每月 50,000 次(2026年3月)

默认配置

状态 缓存时间
成功 10 分钟
失败 1 分钟

默认情况下的 API 调用量

假设配置了 N 个飞书账号:

  • 每天调用:N × 24 × 60 = N × 1,440 次
  • 每月调用:N × 43,200 次

如果配置 3 个飞书账号,每月调用 129,600 次,很容易超过飞书免费配额。

优化方案

将缓存时间调整为更长间隔:

状态 默认时间 优化后时间
成功 10 分钟 24 小时
失败 1 分钟 1 小时

优化后的 API 调用量

  • 每天调用:N × 1 次 = N 次
  • 每月调用:N × 30 次

3 个账号:每月仅 90 次,节省 99.93%

新增飞书账号

每增加一个飞书账号,每 24 小时会增加 1 次 API 调用(成功情况下)。配置本身无需修改,缓存机制自动适配所有账号。

账号数 每天调用 每月调用
1 1 30
3 3 90
5 5 150
10 10 300

更新 OpenClaw 后

OpenClaw 大版本更新时,extensions/feishu/src/probe.ts 文件会被覆盖,缓存时间会恢复到默认值(10分钟/1分钟)。

更新后需要:

  1. 重新修改 probe.ts 中的缓存配置
  2. 执行全量编译:pnpm build
  3. 重启服务:systemctl --user restart openclaw-gateway

详见下文「使用步骤」。

使用步骤

步骤 1:定位文件

find ~/.openclaw/workspace/openclaw/extensions/feishu/src -name "probe.ts"

步骤 2:修改配置

打开 probe.ts,找到这两行:

const PROBE_SUCCESS_TTL_MS = 10 * 60 * 1000; // 10 minutes
const PROBE_ERROR_TTL_MS = 60 * 1000; // 1 minute

修改为:

const PROBE_SUCCESS_TTL_MS = 24 * 60 * 60 * 1000; // 24 hours
const PROBE_ERROR_TTL_MS = 60 * 60 * 1000; // 1 hour

步骤 3:全量编译

重要:必须执行全量编译,禁止单扩展编译。

cd ~/.openclaw/workspace/openclaw
pnpm build

步骤 4:验证编译产物

检查 dist/extensions/ 目录是否包含全部扩展(feishu、telegram 等)。如果只剩 feishu,说明编译方式错误。

步骤 5:重启服务

systemctl --user restart openclaw-gateway

步骤 6:验证服务状态

systemctl --user status openclaw-gateway

确认服务正常运行(active (running))。

为什么必须全量编译?

单扩展编译(如 pnpm --filter feishu build)会清空并覆盖 dist/extensions/ 目录,导致其他扩展的编译产物被删除。

重启后服务会因配置校验失败而崩溃,并进入循环重启。

故障排查

服务重启后崩溃

journalctl --user -u openclaw-gateway -n 50
  • 报错 plugin not found:dist 目录不完整,需要重新执行全量编译
  • 报错 Config invalid:检查 openclaw.json 中的扩展配置

缓存未生效

确认修改的是 extensions/feishu/src/probe.ts(源码),不是 dist/extensions/feishu/probe.js(编译产物)。

前后对比

指标 优化前(3账号) 优化后(3账号) 节省
每天调用 4,320 次 3 次 99.93%
每月调用 129,600 次 90 次 99.93%
每年调用 1,555,200 次 1,095 次 99.93%

更多信息

  • 飞书 Bot API 文档:https://open.feishu.cn/document/server-docs/bot-v3/bot-info
  • OpenClaw 飞书扩展:https://docs.openclaw.ai/channels/feishu
Usage Guidance
This instruction set is coherent with the goal, but follow safe operational practices before applying: 1) Back up or commit the original probe.ts and any important config (openclaw.json). 2) Test changes in a staging environment if possible. 3) Ensure pnpm and build dependencies are available and be prepared for a full rebuild time/cost. 4) Edit the source file (not dist/compiled files) and verify the compiled output in dist/extensions before restarting. 5) Expect possible service downtime if the dist directory becomes incomplete; keep access to logs (journalctl) and a recovery plan. 6) Consider filing a PR or asking the OpenClaw maintainer for a configurable TTL as a safer long-term fix so updates don't revert your change.
Capability Analysis
Type: OpenClaw Skill Name: feishu-probe-optimize Version: 1.0.0 The skill bundle provides instructions to optimize the Feishu extension's health check probe by increasing cache TTL values in 'probe.ts', reducing API consumption to stay within free tier limits. The instructions involve standard development operations such as modifying source code, running 'pnpm build', and restarting a systemd user service ('openclaw-gateway'), all of which are well-documented and align with the stated purpose without any signs of malicious intent or data exfiltration.
Capability Assessment
Purpose & Capability
The skill's name/description match the runtime instructions: it tells you to edit the Feishu probe TTL constants, rebuild the OpenClaw workspace, and restart the user service. All required actions are directly related to reducing probe frequency.
Instruction Scope
Instructions require modifying a source file under ~/.openclaw/workspace and running a full pnpm build plus systemctl user restart. These steps are in-scope for changing probe behavior but carry operational risk (service downtime, build mistakes). The doc explicitly warns about compilation pitfalls and directs use of journalctl for troubleshooting; it does not request unrelated files, secrets, or external data exfiltration.
Install Mechanism
This is an instruction-only skill with no install spec, no downloads, and no code files. Nothing will be written or installed by the skill itself; actions are manual commands the operator runs.
Credentials
The skill requests no environment variables, credentials, or config paths. It does require write access to the user's workspace and permission to run systemctl --user, which is proportional to the task of updating and restarting the local service.
Persistence & Privilege
The skill does not request persistent special privileges or set always:true. However, the recommended workflow modifies local source and restarts a user service — this requires filesystem write access and the ability to control the user systemd service. Those are expected but carry operational impact if done incorrectly.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install feishu-probe-optimize
  3. After installation, invoke the skill by name or use /feishu-probe-optimize
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Slug feishu-probe-optimize
Version 1.0.0
License
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is 飞书API接口调用次数优化?

优化飞书扩展的 probe 缓存配置,将健康检查缓存延长至成功24小时、失败1小时,显著降低API调用次数。 It is an AI Agent Skill for Claude Code / OpenClaw, with 301 downloads so far.

How do I install 飞书API接口调用次数优化?

Run "/install feishu-probe-optimize" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 飞书API接口调用次数优化 free?

Yes, 飞书API接口调用次数优化 is completely free (open-source). You can download, install and use it at no cost.

Which platforms does 飞书API接口调用次数优化 support?

飞书API接口调用次数优化 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 飞书API接口调用次数优化?

It is built and maintained by BobbyCat (@bobbycats); the current version is v1.0.0.

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