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V4.14.9 dev (#6555) 

* feat: encapsulate logger (#6535)

* feat: encapsulate logger

* update engines

---------

Co-authored-by: archer <545436317@qq.com>

* next config

* dev shell

* Agent sandbox (#6532)

* docs: switch to docs layout and apply black theme (#6533)

* feat: add Gemini 3.1 models

- Add gemini-3.1-pro-preview (released February 19, 2026)
- Add gemini-3.1-flash-lite-preview (released March 3, 2026)

Both models support:
- 1M context window
- 64k max response
- Vision
- Tool choice

* docs: switch to docs layout and apply black theme

- Change layout from notebook to docs
- Update logo to icon + text format
- Apply fumadocs black theme
- Simplify global.css (keep only navbar and TOC styles)
- Fix icon components to properly accept className props
- Add mobile text overflow handling
- Update Node engine requirement to >=20.x

* doc

* doc

* lock

* fix: ts

* doc

* doc

---------

Co-authored-by: archer <archer@archerdeMac-mini.local>
Co-authored-by: archer <545436317@qq.com>

* Doc (#6493)

* cloud doc

* doc refactor

* doc move

* seo

* remove doc

* yml

* doc

* fix: tsconfig

* fix: tsconfig

* sandbox version (#6497)

* sandbox version

* add sandbox log

* update lock

* fix

* fix: sandbox

* doc

* add console

* i18n

* sandbxo in agent

* feat: agent sandbox

* lock

* feat: sandbox ui

* sandbox check exists

* env tempalte

* doc

* lock

* sandbox in chat window

* sandbox entry

* fix: test

* rename var

* sandbox config tip

* update sandbox lifecircle

* update prompt

* rename provider test

* sandbox logger

* yml

---------

Co-authored-by: Archer <archer@fastgpt.io>
Co-authored-by: archer <archer@archerdeMac-mini.local>

* perf: sandbox error tip

* Add sandbox limit and fix some issue (#6550)

* sandbox in plan

* fix: some issue

* fix: test

* editor default path

* fix: comment

* perf: sandbox worksapce

* doc

* perf: del sandbox

* sandbox build

* fix: test

* fix: pr comment

---------

Co-authored-by: Ryo <whoeverimf5@gmail.com>
Co-authored-by: Archer <archer@fastgpt.io>
Co-authored-by: archer <archer@archerdeMac-mini.local>
parent 21b3f854
Showing with 1593 additions and 453 deletions
.claude/skills/design/SKILL.md
......@@ -5,6 +5,10 @@ description: 当用户需要设计 FastGPT 的代码时，可调用此 Skill。
## 目录
### AI
* [AI 虚拟机设计文档](./core/ai/sandbox/prd.md)
### 工作流
* [工作流设计文档](./core/workflow/index.md)
......
.github/workflows/sandbox-test.yaml
......@@ -11,9 +11,6 @@ permissions:
jobs:
test:
runs-on: ubuntu-latest
defaults:
run:
working-directory: projects/sandbox
steps:
- uses: actions/checkout@v4
......@@ -21,12 +18,17 @@ jobs:
ref: ${{ github.event.pull_request.head.ref || github.ref }}
repository: ${{ github.event.pull_request.head.repo.full_name || github.repository }}
- uses: oven-sh/setup-bun@v2
- uses: pnpm/action-setup@v4
with:
bun-version: latest
version: 9.4.0
- name: Install Deps
run: bun install
- uses: actions/setup-node@v4
with:
node-version: '20'
cache: 'pnpm'
- name: Install Dependencies
run: pnpm install
- name: Run Unit Tests
run: bun run test
run: pnpm --filter=sandbox test
deploy/docker/cn/docker-compose.milvus.yml
......@@ -214,7 +214,7 @@ services:
PLUGIN_BASE_URL: http://fastgpt-plugin:3000
PLUGIN_TOKEN: *x-plugin-auth-token
# sandbox 地址
SANDBOX_URL: http://sandbox:3000
CODE_SANDBOX_URL: http://sandbox:3000
# AI Proxy 的地址，如果配了该地址，优先使用
AIPROXY_API_ENDPOINT: http://aiproxy:3000
# AI Proxy 的 Admin Token，与 AI Proxy 中的环境变量 ADMIN_KEY
......@@ -241,6 +241,14 @@ services:
networks:
- fastgpt
restart: always
environment:
<<: [*x-log-config]
LOG_OTEL_SERVICE_NAME: fastgpt-code-sandbox
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
fastgpt-mcp-server:
container_name: fastgpt-mcp-server
image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-mcp_server:v4.14.8
......@@ -270,6 +278,11 @@ services:
depends_on:
fastgpt-minio:
condition: service_healthy
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
# AI Proxy
aiproxy:
image: registry.cn-hangzhou.aliyuncs.com/labring/aiproxy:v0.3.5
......
deploy/docker/cn/docker-compose.oceanbase.yml
......@@ -191,7 +191,7 @@ services:
PLUGIN_BASE_URL: http://fastgpt-plugin:3000
PLUGIN_TOKEN: *x-plugin-auth-token
# sandbox 地址
SANDBOX_URL: http://sandbox:3000
CODE_SANDBOX_URL: http://sandbox:3000
# AI Proxy 的地址，如果配了该地址，优先使用
AIPROXY_API_ENDPOINT: http://aiproxy:3000
# AI Proxy 的 Admin Token，与 AI Proxy 中的环境变量 ADMIN_KEY
......@@ -218,6 +218,14 @@ services:
networks:
- fastgpt
restart: always
environment:
<<: [*x-log-config]
LOG_OTEL_SERVICE_NAME: fastgpt-code-sandbox
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
fastgpt-mcp-server:
container_name: fastgpt-mcp-server
image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-mcp_server:v4.14.8
......@@ -247,6 +255,11 @@ services:
depends_on:
fastgpt-minio:
condition: service_healthy
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
# AI Proxy
aiproxy:
image: registry.cn-hangzhou.aliyuncs.com/labring/aiproxy:v0.3.5
......
deploy/docker/cn/docker-compose.pg.yml
......@@ -172,7 +172,7 @@ services:
PLUGIN_BASE_URL: http://fastgpt-plugin:3000
PLUGIN_TOKEN: *x-plugin-auth-token
# sandbox 地址
SANDBOX_URL: http://sandbox:3000
CODE_SANDBOX_URL: http://sandbox:3000
# AI Proxy 的地址，如果配了该地址，优先使用
AIPROXY_API_ENDPOINT: http://aiproxy:3000
# AI Proxy 的 Admin Token，与 AI Proxy 中的环境变量 ADMIN_KEY
......@@ -199,6 +199,14 @@ services:
networks:
- fastgpt
restart: always
environment:
<<: [*x-log-config]
LOG_OTEL_SERVICE_NAME: fastgpt-code-sandbox
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
fastgpt-mcp-server:
container_name: fastgpt-mcp-server
image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-mcp_server:v4.14.8
......@@ -228,6 +236,11 @@ services:
depends_on:
fastgpt-minio:
condition: service_healthy
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
# AI Proxy
aiproxy:
image: registry.cn-hangzhou.aliyuncs.com/labring/aiproxy:v0.3.5
......
deploy/docker/cn/docker-compose.seekdb.yml
......@@ -178,7 +178,7 @@ services:
PLUGIN_BASE_URL: http://fastgpt-plugin:3000
PLUGIN_TOKEN: *x-plugin-auth-token
# sandbox 地址
SANDBOX_URL: http://sandbox:3000
CODE_SANDBOX_URL: http://sandbox:3000
# AI Proxy 的地址，如果配了该地址，优先使用
AIPROXY_API_ENDPOINT: http://aiproxy:3000
# AI Proxy 的 Admin Token，与 AI Proxy 中的环境变量 ADMIN_KEY
......@@ -205,6 +205,14 @@ services:
networks:
- fastgpt
restart: always
environment:
<<: [*x-log-config]
LOG_OTEL_SERVICE_NAME: fastgpt-code-sandbox
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
fastgpt-mcp-server:
container_name: fastgpt-mcp-server
image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-mcp_server:v4.14.8
......@@ -234,6 +242,11 @@ services:
depends_on:
fastgpt-minio:
condition: service_healthy
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
# AI Proxy
aiproxy:
image: registry.cn-hangzhou.aliyuncs.com/labring/aiproxy:v0.3.5
......
deploy/docker/cn/docker-compose.zilliz.yml
......@@ -156,7 +156,7 @@ services:
PLUGIN_BASE_URL: http://fastgpt-plugin:3000
PLUGIN_TOKEN: *x-plugin-auth-token
# sandbox 地址
SANDBOX_URL: http://sandbox:3000
CODE_SANDBOX_URL: http://sandbox:3000
# AI Proxy 的地址，如果配了该地址，优先使用
AIPROXY_API_ENDPOINT: http://aiproxy:3000
# AI Proxy 的 Admin Token，与 AI Proxy 中的环境变量 ADMIN_KEY
......@@ -183,6 +183,14 @@ services:
networks:
- fastgpt
restart: always
environment:
<<: [*x-log-config]
LOG_OTEL_SERVICE_NAME: fastgpt-code-sandbox
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
fastgpt-mcp-server:
container_name: fastgpt-mcp-server
image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-mcp_server:v4.14.8
......@@ -212,6 +220,11 @@ services:
depends_on:
fastgpt-minio:
condition: service_healthy
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
# AI Proxy
aiproxy:
image: registry.cn-hangzhou.aliyuncs.com/labring/aiproxy:v0.3.5
......
deploy/docker/global/docker-compose.milvus.yml
......@@ -214,7 +214,7 @@ services:
PLUGIN_BASE_URL: http://fastgpt-plugin:3000
PLUGIN_TOKEN: *x-plugin-auth-token
# sandbox 地址
SANDBOX_URL: http://sandbox:3000
CODE_SANDBOX_URL: http://sandbox:3000
# AI Proxy 的地址，如果配了该地址，优先使用
AIPROXY_API_ENDPOINT: http://aiproxy:3000
# AI Proxy 的 Admin Token，与 AI Proxy 中的环境变量 ADMIN_KEY
......@@ -241,6 +241,14 @@ services:
networks:
- fastgpt
restart: always
environment:
<<: [*x-log-config]
LOG_OTEL_SERVICE_NAME: fastgpt-code-sandbox
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
fastgpt-mcp-server:
container_name: fastgpt-mcp-server
image: ghcr.io/labring/fastgpt-mcp_server:v4.14.8
......@@ -270,6 +278,11 @@ services:
depends_on:
fastgpt-minio:
condition: service_healthy
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
# AI Proxy
aiproxy:
image: ghcr.io/labring/aiproxy:v0.3.5
......
deploy/docker/global/docker-compose.oceanbase.yml
......@@ -191,7 +191,7 @@ services:
PLUGIN_BASE_URL: http://fastgpt-plugin:3000
PLUGIN_TOKEN: *x-plugin-auth-token
# sandbox 地址
SANDBOX_URL: http://sandbox:3000
CODE_SANDBOX_URL: http://sandbox:3000
# AI Proxy 的地址，如果配了该地址，优先使用
AIPROXY_API_ENDPOINT: http://aiproxy:3000
# AI Proxy 的 Admin Token，与 AI Proxy 中的环境变量 ADMIN_KEY
......@@ -218,6 +218,14 @@ services:
networks:
- fastgpt
restart: always
environment:
<<: [*x-log-config]
LOG_OTEL_SERVICE_NAME: fastgpt-code-sandbox
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
fastgpt-mcp-server:
container_name: fastgpt-mcp-server
image: ghcr.io/labring/fastgpt-mcp_server:v4.14.8
......@@ -247,6 +255,11 @@ services:
depends_on:
fastgpt-minio:
condition: service_healthy
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
# AI Proxy
aiproxy:
image: ghcr.io/labring/aiproxy:v0.3.5
......
deploy/docker/global/docker-compose.pg.yml
......@@ -172,7 +172,7 @@ services:
PLUGIN_BASE_URL: http://fastgpt-plugin:3000
PLUGIN_TOKEN: *x-plugin-auth-token
# sandbox 地址
SANDBOX_URL: http://sandbox:3000
CODE_SANDBOX_URL: http://sandbox:3000
# AI Proxy 的地址，如果配了该地址，优先使用
AIPROXY_API_ENDPOINT: http://aiproxy:3000
# AI Proxy 的 Admin Token，与 AI Proxy 中的环境变量 ADMIN_KEY
......@@ -199,6 +199,14 @@ services:
networks:
- fastgpt
restart: always
environment:
<<: [*x-log-config]
LOG_OTEL_SERVICE_NAME: fastgpt-code-sandbox
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
fastgpt-mcp-server:
container_name: fastgpt-mcp-server
image: ghcr.io/labring/fastgpt-mcp_server:v4.14.8
......@@ -228,6 +236,11 @@ services:
depends_on:
fastgpt-minio:
condition: service_healthy
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
# AI Proxy
aiproxy:
image: ghcr.io/labring/aiproxy:v0.3.5
......
deploy/docker/global/docker-compose.seekdb.yml
......@@ -178,7 +178,7 @@ services:
PLUGIN_BASE_URL: http://fastgpt-plugin:3000
PLUGIN_TOKEN: *x-plugin-auth-token
# sandbox 地址
SANDBOX_URL: http://sandbox:3000
CODE_SANDBOX_URL: http://sandbox:3000
# AI Proxy 的地址，如果配了该地址，优先使用
AIPROXY_API_ENDPOINT: http://aiproxy:3000
# AI Proxy 的 Admin Token，与 AI Proxy 中的环境变量 ADMIN_KEY
......@@ -205,6 +205,14 @@ services:
networks:
- fastgpt
restart: always
environment:
<<: [*x-log-config]
LOG_OTEL_SERVICE_NAME: fastgpt-code-sandbox
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
fastgpt-mcp-server:
container_name: fastgpt-mcp-server
image: ghcr.io/labring/fastgpt-mcp_server:v4.14.8
......@@ -234,6 +242,11 @@ services:
depends_on:
fastgpt-minio:
condition: service_healthy
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
# AI Proxy
aiproxy:
image: ghcr.io/labring/aiproxy:v0.3.5
......
deploy/docker/global/docker-compose.ziliiz.yml
......@@ -156,7 +156,7 @@ services:
PLUGIN_BASE_URL: http://fastgpt-plugin:3000
PLUGIN_TOKEN: *x-plugin-auth-token
# sandbox 地址
SANDBOX_URL: http://sandbox:3000
CODE_SANDBOX_URL: http://sandbox:3000
# AI Proxy 的地址，如果配了该地址，优先使用
AIPROXY_API_ENDPOINT: http://aiproxy:3000
# AI Proxy 的 Admin Token，与 AI Proxy 中的环境变量 ADMIN_KEY
......@@ -183,6 +183,14 @@ services:
networks:
- fastgpt
restart: always
environment:
<<: [*x-log-config]
LOG_OTEL_SERVICE_NAME: fastgpt-code-sandbox
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
fastgpt-mcp-server:
container_name: fastgpt-mcp-server
image: ghcr.io/labring/fastgpt-mcp_server:v4.14.8
......@@ -212,6 +220,11 @@ services:
depends_on:
fastgpt-minio:
condition: service_healthy
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
# AI Proxy
aiproxy:
image: ghcr.io/labring/aiproxy:v0.3.5
......
deploy/templates/docker-compose.prod.yml
......@@ -155,7 +155,7 @@ ${{vec.db}}
PLUGIN_BASE_URL: http://fastgpt-plugin:3000
PLUGIN_TOKEN: *x-plugin-auth-token
# sandbox 地址
SANDBOX_URL: http://sandbox:3000
CODE_SANDBOX_URL: http://sandbox:3000
# AI Proxy 的地址，如果配了该地址，优先使用
AIPROXY_API_ENDPOINT: http://aiproxy:3000
# AI Proxy 的 Admin Token，与 AI Proxy 中的环境变量 ADMIN_KEY
......@@ -182,6 +182,14 @@ ${{vec.db}}
networks:
- fastgpt
restart: always
environment:
<<: [*x-log-config]
LOG_OTEL_SERVICE_NAME: fastgpt-code-sandbox
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
fastgpt-mcp-server:
container_name: fastgpt-mcp-server
image: ${{fastgpt-mcp_server.image}}:${{fastgpt-mcp_server.tag}}
......@@ -211,6 +219,11 @@ ${{vec.db}}
depends_on:
fastgpt-minio:
condition: service_healthy
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
# AI Proxy
aiproxy:
image: ${{aiproxy.image}}:${{aiproxy.tag}}
......
document/content/docs/introduction/guide/dashboard/workflow/sandbox-v2.en.mdx
......@@ -16,7 +16,7 @@ The Code Run node executes JavaScript and Python code in a secure sandbox for da
**Important Notes**
- Self-hosted users need to deploy the `fastgpt-sandbox` image and configure the `SANDBOX_URL` environment variable.
- Self-hosted users need to deploy the `fastgpt-sandbox` image and configure the `CODE_SANDBOX_URL` environment variable.
- The sandbox has a default maximum runtime of 60s (configurable).
- Code runs in isolated process pools with no access to the file system or internal network.
......
document/content/docs/introduction/guide/dashboard/workflow/sandbox-v2.mdx
......@@ -16,7 +16,7 @@ description: FastGPT 代码运行节点介绍（适用于 4.14.8 及以上版本
**注意事项**
- 私有化用户需要部署 `fastgpt-sandbox` 镜像，并配置 `SANDBOX_URL` 环境变量。
- 私有化用户需要部署 `fastgpt-sandbox` 镜像，并配置 `CODE_SANDBOX_URL` 环境变量。
- 沙盒默认最大运行 60s，可通过配置调整。
- 代码运行在隔离的进程池中，无法访问文件系统和内网。
......
document/content/docs/introduction/guide/dashboard/workflow/sandbox.en.mdx
......@@ -11,7 +11,7 @@ Runs simple JavaScript code for complex data processing. Code executes in a sand
**Important Notes**
- Self-hosted users must deploy the `fastgpt-sandbox` image and set the `SANDBOX_URL` environment variable.
- Self-hosted users must deploy the `fastgpt-sandbox` image and set the `CODE_SANDBOX_URL` environment variable.
- The sandbox enforces a 10-second max runtime and 32 MB memory limit.
## Variable Input
......
document/content/docs/introduction/guide/dashboard/workflow/sandbox.mdx
......@@ -13,7 +13,7 @@ description: FastGPT 代码运行节点介绍（适用于 4.14.7 及以下版本
**注意事项**
- 私有化用户需要部署`fastgpt-sandbox` 镜像，并配置`SANDBOX_URL`环境变量。
- 私有化用户需要部署`fastgpt-sandbox` 镜像，并配置`CODE_SANDBOX_URL`环境变量。
- 沙盒最大运行 10s， 32M 内存限制。
......
document/content/docs/openapi/chat.en.mdx
......@@ -970,10 +970,9 @@ curl --location --request POST 'http://localhost:3000/api/core/chat/getPaginatio
}
],
"customFeedbacks": [],
"llmModuleAccount": 1,
"totalQuoteList": [],
"totalRunningTime": 2.42,
"historyPreviewLength": 2
"useAgentSandbox": false
}
],
"total": 2
......
document/content/docs/openapi/chat.mdx
......@@ -970,10 +970,8 @@ curl --location --request POST 'http://localhost:3000/api/core/chat/getPaginatio
}
],
"customFeedbacks": [],
"llmModuleAccount": 1,
"totalQuoteList": [],
"totalRunningTime": 2.42,
"historyPreviewLength": 2
"totalRunningTime": 2.42
}
],
"total": 2
......
document/content/docs/self-host/upgrading/4-14/4149.mdx
......@@ -3,16 +3,46 @@ title: 'V4.14.9(进行中)'
description: 'FastGPT V4.14.9 更新说明'
---
### 环境变量更新
```bash
# 调整 FastGPT 环境变量：CODE_SANDBOX_URL 和 SANDBOX_TOKEN，改名成 CODE_SANDBOX_URL 和 CODE_SANDBOX_TOKEN
SANDBOX_URL=代码运行沙盒的地址
SANDBOX_TOKEN=代码运行沙盒的凭证（可以为空，4.14.8 新增加了鉴权）
# 新增 Agent sandbox 沙盒环境变量
AGENT_SANDBOX_PROVIDER=
AGENT_SANDBOX_SEALOS_BASEURL=
AGENT_SANDBOX_SEALOS_TOKEN=
```
## 接口变更
`/api/core/chat/getPaginationRecords` 接口，增加返回`useAgentSandbox:boolean`字段，代表本轮对话，是否使用了虚拟机工具。即将移除`llmModuleAccount`和`historyPreviewLength`字段，如使用该字段，请尽快适配。
## 🚀 新增内容
1. 新增 AI 虚拟机功能，可以给 AI 挂载一个虚拟机工具进行更丰富的操作。
2. 封装 logger sdk。
3. 更新知识库数据时候，同步更新 collection 更新时间。
4. 表单输入文件时，支持打开文件进行预览。
## ⚙️ 优化
1. HTTP 工具，增加 SSRF 防御。
1. api 知识库同步时，增加更多 fallback 获取文件名方式。
2. HTTP 工具，增加 SSRF 防御。
3. 兼容更多 MCP JsonSchema 字段。
4. 优化部分工作流运行池逻辑，减少计算复杂度
## 🐛 修复
1. 工作流嵌套插件时，未成功保留插件运行详情。同时整理所有 tool 类型前缀。
2. 更新 MCP toolset 后可能无法正常调用。
3. API 知识库，文件列表搜索框丢失。
\ No newline at end of file
3. API 知识库，文件列表搜索框丢失。
4. 工作流变量值，包含特殊值($.)的时候，导致值替换异常。
5. 工作流引用 agent 工具时，获取版本异常。
6. 不支持某些属性的参数的模型，从支持该参数的模型切换过来时，该模型未被去掉，导致模型调用失败。
7. 分享链接关闭状态显示后，会导致历史记录里的 AI 回复内容无法正常展示。
8. 修复工作流预览模式下，重新打开预览弹窗，会丢失表单输入内容。
9. 修复订阅套餐自定义字段未生效
document/content/docs/self-host/upgrading/4-14/meta.en.json
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document/data/doc-last-modified.json
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"document/content/docs/introduction/guide/dashboard/workflow/text_editor.en.mdx": "2026-02-26T22:14:30+08:00",
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"document/content/docs/introduction/guide/dashboard/workflow/tfswitch.en.mdx": "2026-02-26T22:14:30+08:00",
......@@ -137,8 +137,8 @@
"document/content/docs/introduction/opensource/license.mdx": "2026-03-03T17:39:47+08:00",
"document/content/docs/openapi/app.en.mdx": "2026-02-26T22:14:30+08:00",
"document/content/docs/openapi/app.mdx": "2026-02-12T18:45:30+08:00",
"document/content/docs/openapi/chat.en.mdx": "2026-02-26T22:14:30+08:00",
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"document/content/docs/openapi/index.en.mdx": "2026-02-26T22:14:30+08:00",
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......@@ -300,8 +300,8 @@
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......
document/public/deploy/docker/cn/docker-compose.milvus.yml
......@@ -214,7 +214,7 @@ services:
PLUGIN_BASE_URL: http://fastgpt-plugin:3000
PLUGIN_TOKEN: *x-plugin-auth-token
# sandbox 地址
SANDBOX_URL: http://sandbox:3000
CODE_SANDBOX_URL: http://sandbox:3000
# AI Proxy 的地址，如果配了该地址，优先使用
AIPROXY_API_ENDPOINT: http://aiproxy:3000
# AI Proxy 的 Admin Token，与 AI Proxy 中的环境变量 ADMIN_KEY
......@@ -241,6 +241,14 @@ services:
networks:
- fastgpt
restart: always
environment:
<<: [*x-log-config]
LOG_OTEL_SERVICE_NAME: fastgpt-code-sandbox
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
fastgpt-mcp-server:
container_name: fastgpt-mcp-server
image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-mcp_server:v4.14.8
......@@ -270,6 +278,11 @@ services:
depends_on:
fastgpt-minio:
condition: service_healthy
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
# AI Proxy
aiproxy:
image: registry.cn-hangzhou.aliyuncs.com/labring/aiproxy:v0.3.5
......
document/public/deploy/docker/cn/docker-compose.oceanbase.yml
......@@ -191,7 +191,7 @@ services:
PLUGIN_BASE_URL: http://fastgpt-plugin:3000
PLUGIN_TOKEN: *x-plugin-auth-token
# sandbox 地址
SANDBOX_URL: http://sandbox:3000
CODE_SANDBOX_URL: http://sandbox:3000
# AI Proxy 的地址，如果配了该地址，优先使用
AIPROXY_API_ENDPOINT: http://aiproxy:3000
# AI Proxy 的 Admin Token，与 AI Proxy 中的环境变量 ADMIN_KEY
......@@ -218,6 +218,14 @@ services:
networks:
- fastgpt
restart: always
environment:
<<: [*x-log-config]
LOG_OTEL_SERVICE_NAME: fastgpt-code-sandbox
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
fastgpt-mcp-server:
container_name: fastgpt-mcp-server
image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-mcp_server:v4.14.8
......@@ -247,6 +255,11 @@ services:
depends_on:
fastgpt-minio:
condition: service_healthy
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
# AI Proxy
aiproxy:
image: registry.cn-hangzhou.aliyuncs.com/labring/aiproxy:v0.3.5
......
document/public/deploy/docker/cn/docker-compose.pg.yml
......@@ -172,7 +172,7 @@ services:
PLUGIN_BASE_URL: http://fastgpt-plugin:3000
PLUGIN_TOKEN: *x-plugin-auth-token
# sandbox 地址
SANDBOX_URL: http://sandbox:3000
CODE_SANDBOX_URL: http://sandbox:3000
# AI Proxy 的地址，如果配了该地址，优先使用
AIPROXY_API_ENDPOINT: http://aiproxy:3000
# AI Proxy 的 Admin Token，与 AI Proxy 中的环境变量 ADMIN_KEY
......@@ -199,6 +199,14 @@ services:
networks:
- fastgpt
restart: always
environment:
<<: [*x-log-config]
LOG_OTEL_SERVICE_NAME: fastgpt-code-sandbox
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
fastgpt-mcp-server:
container_name: fastgpt-mcp-server
image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-mcp_server:v4.14.8
......@@ -228,6 +236,11 @@ services:
depends_on:
fastgpt-minio:
condition: service_healthy
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
# AI Proxy
aiproxy:
image: registry.cn-hangzhou.aliyuncs.com/labring/aiproxy:v0.3.5
......
document/public/deploy/docker/cn/docker-compose.seekdb.yml
......@@ -178,7 +178,7 @@ services:
PLUGIN_BASE_URL: http://fastgpt-plugin:3000
PLUGIN_TOKEN: *x-plugin-auth-token
# sandbox 地址
SANDBOX_URL: http://sandbox:3000
CODE_SANDBOX_URL: http://sandbox:3000
# AI Proxy 的地址，如果配了该地址，优先使用
AIPROXY_API_ENDPOINT: http://aiproxy:3000
# AI Proxy 的 Admin Token，与 AI Proxy 中的环境变量 ADMIN_KEY
......@@ -205,6 +205,14 @@ services:
networks:
- fastgpt
restart: always
environment:
<<: [*x-log-config]
LOG_OTEL_SERVICE_NAME: fastgpt-code-sandbox
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
fastgpt-mcp-server:
container_name: fastgpt-mcp-server
image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-mcp_server:v4.14.8
......@@ -234,6 +242,11 @@ services:
depends_on:
fastgpt-minio:
condition: service_healthy
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
# AI Proxy
aiproxy:
image: registry.cn-hangzhou.aliyuncs.com/labring/aiproxy:v0.3.5
......
document/public/deploy/docker/cn/docker-compose.zilliz.yml
......@@ -156,7 +156,7 @@ services:
PLUGIN_BASE_URL: http://fastgpt-plugin:3000
PLUGIN_TOKEN: *x-plugin-auth-token
# sandbox 地址
SANDBOX_URL: http://sandbox:3000
CODE_SANDBOX_URL: http://sandbox:3000
# AI Proxy 的地址，如果配了该地址，优先使用
AIPROXY_API_ENDPOINT: http://aiproxy:3000
# AI Proxy 的 Admin Token，与 AI Proxy 中的环境变量 ADMIN_KEY
......@@ -183,6 +183,14 @@ services:
networks:
- fastgpt
restart: always
environment:
<<: [*x-log-config]
LOG_OTEL_SERVICE_NAME: fastgpt-code-sandbox
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
fastgpt-mcp-server:
container_name: fastgpt-mcp-server
image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-mcp_server:v4.14.8
......@@ -212,6 +220,11 @@ services:
depends_on:
fastgpt-minio:
condition: service_healthy
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
# AI Proxy
aiproxy:
image: registry.cn-hangzhou.aliyuncs.com/labring/aiproxy:v0.3.5
......
document/public/deploy/docker/global/docker-compose.milvus.yml
......@@ -214,7 +214,7 @@ services:
PLUGIN_BASE_URL: http://fastgpt-plugin:3000
PLUGIN_TOKEN: *x-plugin-auth-token
# sandbox 地址
SANDBOX_URL: http://sandbox:3000
CODE_SANDBOX_URL: http://sandbox:3000
# AI Proxy 的地址，如果配了该地址，优先使用
AIPROXY_API_ENDPOINT: http://aiproxy:3000
# AI Proxy 的 Admin Token，与 AI Proxy 中的环境变量 ADMIN_KEY
......@@ -241,6 +241,14 @@ services:
networks:
- fastgpt
restart: always
environment:
<<: [*x-log-config]
LOG_OTEL_SERVICE_NAME: fastgpt-code-sandbox
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
fastgpt-mcp-server:
container_name: fastgpt-mcp-server
image: ghcr.io/labring/fastgpt-mcp_server:v4.14.8
......@@ -270,6 +278,11 @@ services:
depends_on:
fastgpt-minio:
condition: service_healthy
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
# AI Proxy
aiproxy:
image: ghcr.io/labring/aiproxy:v0.3.5
......
document/public/deploy/docker/global/docker-compose.oceanbase.yml
......@@ -191,7 +191,7 @@ services:
PLUGIN_BASE_URL: http://fastgpt-plugin:3000
PLUGIN_TOKEN: *x-plugin-auth-token
# sandbox 地址
SANDBOX_URL: http://sandbox:3000
CODE_SANDBOX_URL: http://sandbox:3000
# AI Proxy 的地址，如果配了该地址，优先使用
AIPROXY_API_ENDPOINT: http://aiproxy:3000
# AI Proxy 的 Admin Token，与 AI Proxy 中的环境变量 ADMIN_KEY
......@@ -218,6 +218,14 @@ services:
networks:
- fastgpt
restart: always
environment:
<<: [*x-log-config]
LOG_OTEL_SERVICE_NAME: fastgpt-code-sandbox
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
fastgpt-mcp-server:
container_name: fastgpt-mcp-server
image: ghcr.io/labring/fastgpt-mcp_server:v4.14.8
......@@ -247,6 +255,11 @@ services:
depends_on:
fastgpt-minio:
condition: service_healthy
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
# AI Proxy
aiproxy:
image: ghcr.io/labring/aiproxy:v0.3.5
......
document/public/deploy/docker/global/docker-compose.pg.yml
......@@ -172,7 +172,7 @@ services:
PLUGIN_BASE_URL: http://fastgpt-plugin:3000
PLUGIN_TOKEN: *x-plugin-auth-token
# sandbox 地址
SANDBOX_URL: http://sandbox:3000
CODE_SANDBOX_URL: http://sandbox:3000
# AI Proxy 的地址，如果配了该地址，优先使用
AIPROXY_API_ENDPOINT: http://aiproxy:3000
# AI Proxy 的 Admin Token，与 AI Proxy 中的环境变量 ADMIN_KEY
......@@ -199,6 +199,14 @@ services:
networks:
- fastgpt
restart: always
environment:
<<: [*x-log-config]
LOG_OTEL_SERVICE_NAME: fastgpt-code-sandbox
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
fastgpt-mcp-server:
container_name: fastgpt-mcp-server
image: ghcr.io/labring/fastgpt-mcp_server:v4.14.8
......@@ -228,6 +236,11 @@ services:
depends_on:
fastgpt-minio:
condition: service_healthy
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
# AI Proxy
aiproxy:
image: ghcr.io/labring/aiproxy:v0.3.5
......
document/public/deploy/docker/global/docker-compose.seekdb.yml
......@@ -178,7 +178,7 @@ services:
PLUGIN_BASE_URL: http://fastgpt-plugin:3000
PLUGIN_TOKEN: *x-plugin-auth-token
# sandbox 地址
SANDBOX_URL: http://sandbox:3000
CODE_SANDBOX_URL: http://sandbox:3000
# AI Proxy 的地址，如果配了该地址，优先使用
AIPROXY_API_ENDPOINT: http://aiproxy:3000
# AI Proxy 的 Admin Token，与 AI Proxy 中的环境变量 ADMIN_KEY
......@@ -205,6 +205,14 @@ services:
networks:
- fastgpt
restart: always
environment:
<<: [*x-log-config]
LOG_OTEL_SERVICE_NAME: fastgpt-code-sandbox
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
fastgpt-mcp-server:
container_name: fastgpt-mcp-server
image: ghcr.io/labring/fastgpt-mcp_server:v4.14.8
......@@ -234,6 +242,11 @@ services:
depends_on:
fastgpt-minio:
condition: service_healthy
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
# AI Proxy
aiproxy:
image: ghcr.io/labring/aiproxy:v0.3.5
......
document/public/deploy/docker/global/docker-compose.ziliiz.yml
......@@ -156,7 +156,7 @@ services:
PLUGIN_BASE_URL: http://fastgpt-plugin:3000
PLUGIN_TOKEN: *x-plugin-auth-token
# sandbox 地址
SANDBOX_URL: http://sandbox:3000
CODE_SANDBOX_URL: http://sandbox:3000
# AI Proxy 的地址，如果配了该地址，优先使用
AIPROXY_API_ENDPOINT: http://aiproxy:3000
# AI Proxy 的 Admin Token，与 AI Proxy 中的环境变量 ADMIN_KEY
......@@ -183,6 +183,14 @@ services:
networks:
- fastgpt
restart: always
environment:
<<: [*x-log-config]
LOG_OTEL_SERVICE_NAME: fastgpt-code-sandbox
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
fastgpt-mcp-server:
container_name: fastgpt-mcp-server
image: ghcr.io/labring/fastgpt-mcp_server:v4.14.8
......@@ -212,6 +220,11 @@ services:
depends_on:
fastgpt-minio:
condition: service_healthy
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
# AI Proxy
aiproxy:
image: ghcr.io/labring/aiproxy:v0.3.5
......
package.json
......@@ -52,7 +52,7 @@
]
},
"engines": {
"node": ">=20.x",
"pnpm": ">=9.x"
"node": ">=20",
"pnpm": ">=9"
}
}
packages/global/common/error/code/team.ts
......@@ -3,8 +3,9 @@ import type { ErrType } from '../errorCode';
/* team: 500000 */
export enum TeamErrEnum {
notUser = 'notUser',
teamOverSize = 'teamOverSize',
unAuthTeam = 'unAuthTeam',
teamOverSize = 'teamOverSize',
teamMemberOverSize = 'teamMemberOverSize',
aiPointsNotEnough = 'aiPointsNotEnough',
datasetSizeNotEnough = 'datasetSizeNotEnough',
......@@ -15,6 +16,8 @@ export enum TeamErrEnum {
websiteSyncNotEnough = 'websiteSyncNotEnough',
reRankNotEnough = 'reRankNotEnough',
ticketNotAvailable = 'ticketNotAvailable',
sandboxNotSupport = 'sandboxNotSupport',
groupNameEmpty = 'groupNameEmpty',
groupNameDuplicate = 'groupNameDuplicate',
groupNotExist = 'groupNotExist',
......
packages/global/common/system/types/index.ts
......@@ -71,6 +71,7 @@ export type FastGPTFeConfigsType = {
show_publish_dingtalk?: boolean;
show_publish_wecom?: boolean;
show_publish_offiaccount?: boolean;
show_agent_sandbox?: boolean;
show_dataset_enhance?: boolean;
show_batch_eval?: boolean;
......@@ -138,6 +139,9 @@ export type FastGPTFeConfigsType = {
};
ip_whitelist?: string;
// tmp
agentSandboxFree?: boolean;
};
export type SystemEnvType = {
......
packages/global/core/ai/llm/utils.ts
import type { LLMModelItemType } from '../model.schema';
export const removeDatasetCiteText = (text: string, retainDatasetCite: boolean) => {
return retainDatasetCite
? text.replace(/[\[【]id[\]】]\(CITE\)/g, '')
......@@ -5,3 +7,15 @@ export const removeDatasetCiteText = (text: string, retainDatasetCite: boolean)
.replace(/[\[【]([a-f0-9]{24})[\]】](?:\([^\)]*\)?)?/g, '')
.replace(/[\[【]id[\]】]\(CITE\)/g, '');
};
export const getLLMSupportParams = (llm?: LLMModelItemType) => {
return {
vision: !!llm?.vision,
temperature: typeof llm?.maxTemperature === 'number',
reasoning: !!llm?.reasoning,
topP: !!llm?.showTopP,
stop: !!llm?.showStopSign,
responseFormat: !!(llm?.responseFormatList && llm?.responseFormatList.length > 0),
supportToolCall: !!(llm?.toolChoice || llm?.functionCall)
};
};
packages/global/core/ai/sandbox/constants.ts 0 → 100644
import type { I18nStringType } from '../../../common/i18n/type';
import { hashStr } from '../../../common/string/tools';
import type { ChatCompletionTool } from '../type';
import { z } from 'zod';
// ---- 沙盒状态 ----
export const SandboxStatusEnum = {
running: 'running',
stoped: 'stoped'
} as const;
export type SandboxStatusType = (typeof SandboxStatusEnum)[keyof typeof SandboxStatusEnum];
// ---- 暂停阈值（分钟） ----
export const SANDBOX_SUSPEND_MINUTES = 5;
// ---- sandboxId 生成 ----
export const generateSandboxId = (appId: string, userId: string, chatId: string): string => {
return hashStr(`${appId}-${userId}-${chatId}`).slice(0, 16);
};
// Tool
export const SANDBOX_NAME: I18nStringType = {
'zh-CN': '虚拟机',
'zh-Hant': '虛擬機',
en: 'Sandbox'
};
export const SANDBOX_ICON = 'core/app/sandbox/sandbox' as const;
export const SANDBOX_TOOL_NAME = 'sandbox_shell';
export const SANDBOX_TOOL_DESCRIPTION =
'在独立 Linux 环境中执行 shell 命令，支持文件操作、代码运行、包安装等';
// ---- 系统提示词（useAgentSandbox=true 时追加） ----
export const SANDBOX_SYSTEM_PROMPT = `你拥有一个独立的 Linux 沙盒环境（Ubuntu 22.04），可通过 ${SANDBOX_TOOL_NAME} 工具执行命令：
- 预装：bash / python3 / node / bun / git / curl
- 可自行安装软件包（apt / pip / npm）`;
export const SANDBOX_SHELL_TOOL: ChatCompletionTool = {
type: 'function',
function: {
name: SANDBOX_TOOL_NAME,
description: SANDBOX_TOOL_DESCRIPTION,
parameters: {
type: 'object',
properties: {
command: { type: 'string', description: '要执行的 shell 命令' },
timeout: {
type: 'number',
description: '超时秒数',
max: 300,
min: 1
}
},
required: ['command']
}
}
};
export const SANDBOX_TOOLS: ChatCompletionTool[] = [SANDBOX_SHELL_TOOL];
// Zod Schema 用于参数验证
export const SandboxShellToolSchema = z.object({
command: z.string(),
timeout: z.number().optional()
});
packages/global/core/ai/type.ts
......@@ -10,7 +10,6 @@ import type {
} from 'openai/resources';
import type { WorkflowInteractiveResponseType } from '../workflow/template/system/interactive/type';
import type { Stream } from 'openai/streaming';
export * from 'openai/resources';
// Extension of ChatCompletionMessageParam, Add file url type
export type ChatCompletionContentPartFile = {
......@@ -86,9 +85,11 @@ export type CompletionFinishReason =
| null
| undefined;
export type { Stream };
export default openai;
export * from 'openai';
export type { Stream };
export * from 'openai/resources';
// Other
export type PromptTemplateItem = {
......
packages/global/core/app/formEdit/type.ts
......@@ -25,7 +25,8 @@ export const AppFormEditFormV1TypeSchema = z.object({
[NodeInputKeyEnum.aiChatTopP]: z.number().optional(),
[NodeInputKeyEnum.aiChatStopSign]: z.string().optional(),
[NodeInputKeyEnum.aiChatResponseFormat]: z.string().optional(),
[NodeInputKeyEnum.aiChatJsonSchema]: z.string().optional()
[NodeInputKeyEnum.aiChatJsonSchema]: z.string().optional(),
[NodeInputKeyEnum.useAgentSandbox]: z.boolean().default(false).optional()
}),
dataset: AppDatasetSearchParamsTypeSchema.extend({
datasets: z.array(SelectedDatasetSchema)
......
packages/global/core/chat/type.ts
......@@ -197,11 +197,15 @@ const ErrorTextItemSchema = z.object({
export type ErrorTextItemType = z.infer<typeof ErrorTextItemSchema>;
export type ResponseTagItemType = {
useAgentSandbox?: boolean;
totalQuoteList?: SearchDataResponseItemType[];
llmModuleAccount?: number;
historyPreviewLength?: number;
toolCiteLinks?: ToolCiteLinksType[];
errorText?: ErrorTextItemType;
/** @deprecated */
llmModuleAccount?: number;
/** @deprecated */
historyPreviewLength?: number;
};
export type ChatItemType = ChatItemObjItemType & {
......
packages/global/core/workflow/constants.ts
......@@ -172,6 +172,7 @@ export enum NodeInputKeyEnum {
selectedTools = 'agent_selectedTools',
datasetParams = 'agent_datasetParams',
skills = 'skills',
useAgentSandbox = 'useAgentSandbox',
// dataset
datasetSelectList = 'datasets',
......
packages/global/core/workflow/node/agent/constants.ts
import {
SANDBOX_TOOL_NAME,
SANDBOX_ICON,
SANDBOX_NAME,
SANDBOX_TOOL_DESCRIPTION
} from '../../../ai/sandbox/constants';
import type { I18nStringType } from '../../../../common/i18n/type';
export enum SubAppIds {
......@@ -5,13 +11,19 @@ export enum SubAppIds {
ask = 'ask_agent',
model = 'model_agent',
fileRead = 'file_read',
datasetSearch = 'dataset_search'
datasetSearch = 'dataset_search',
sandboxTool = 'sandbox_shell'
}
export const systemSubInfo: Record<
string,
{ name: I18nStringType; avatar: string; toolDescription: string }
> = {
[SubAppIds.sandboxTool]: {
name: SANDBOX_NAME,
avatar: SANDBOX_ICON,
toolDescription: SANDBOX_TOOL_DESCRIPTION
},
[SubAppIds.plan]: {
name: {
'zh-CN': '规划Agent',
......
packages/global/core/workflow/runtime/type.ts
......@@ -394,9 +394,14 @@ export type DispatchNodeResponseType = {
// Children node responses
childrenResponses?: ChatHistoryItemResType[];
// abandon
// Tools
toolId?: string;
/** @deprecated */
extensionModel?: string;
/** @deprecated */
extensionResult?: string;
/** @deprecated */
extensionTokens?: number;
};
......
packages/global/core/workflow/template/system/toolCall.ts
......@@ -101,6 +101,14 @@ export const ToolCallNode: FlowNodeTemplateType = {
},
{
key: NodeInputKeyEnum.useAgentSandbox,
renderTypeList: [FlowNodeInputTypeEnum.switch],
label: i18nT('app:use_agent_sandbox'),
description: i18nT('app:use_computer_desc'),
valueType: WorkflowIOValueTypeEnum.boolean,
value: false
},
{
...Input_Template_System_Prompt,
label: i18nT('common:core.ai.Prompt'),
description: systemPromptTip,
......
packages/global/openapi/core/ai/index.ts
import type { OpenAPIPath } from '../../type';
import { TagsMap } from '../../tag';
import { GetLLMRequestRecordParamsSchema, LLMRequestRecordSchema } from './api';
import { SandboxPath } from './sandbox';
export const AIPath: OpenAPIPath = {
...SandboxPath,
'/core/ai/record/getRecord': {
get: {
summary: '获取 LLM 请求追踪记录',
......
packages/global/openapi/core/ai/sandbox/api.ts 0 → 100644
import { OutLinkChatAuthSchema } from '../../../../support/permission/chat';
import { z } from 'zod';
/**
* 文件操作 - 统一请求体
*/
export const SandboxFileOperationBodySchema = z.discriminatedUnion('action', [
z.object({
action: z.literal('list'),
appId: z.string(),
chatId: z.string(),
path: z.string().default('.').describe('目录路径'),
outLinkAuthData: OutLinkChatAuthSchema.optional().describe('外链鉴权数据')
}),
z.object({
action: z.literal('read'),
appId: z.string(),
chatId: z.string(),
path: z.string().describe('文件路径'),
outLinkAuthData: OutLinkChatAuthSchema.optional().describe('外链鉴权数据')
}),
z.object({
action: z.literal('write'),
appId: z.string(),
chatId: z.string(),
path: z.string().describe('文件路径'),
content: z.string().describe('文件内容'),
outLinkAuthData: OutLinkChatAuthSchema.optional().describe('外链鉴权数据')
})
]);
export type SandboxFileOperationBody = z.infer<typeof SandboxFileOperationBodySchema>;
/**
* 文件项
*/
export const SandboxFileItemSchema = z.object({
name: z.string().describe('文件名'),
path: z.string().describe('完整路径'),
type: z.enum(['file', 'directory']).describe('文件类型'),
size: z.number().optional().describe('文件大小(字节数)')
});
export type SandboxFileItem = z.infer<typeof SandboxFileItemSchema>;
/**
* 文件操作 - 响应体
*/
export const SandboxFileOperationResponseSchema = z.union([
z.object({
action: z.literal('list'),
files: z.array(SandboxFileItemSchema)
}),
z.object({
action: z.literal('read'),
content: z.string().describe('文件内容')
}),
z.object({
action: z.literal('write'),
success: z.boolean()
})
]);
export type SandboxFileOperationResponse = z.infer<typeof SandboxFileOperationResponseSchema>;
/**
* 检查沙盒是否存在
*/
export const SandboxCheckExistBodySchema = z.object({
appId: z.string(),
chatId: z.string(),
outLinkAuthData: OutLinkChatAuthSchema.optional().describe('外链鉴权数据')
});
export const SandboxCheckExistResponseSchema = z.object({
exists: z.boolean().describe('沙盒是否存在')
});
export type SandboxCheckExistBody = z.infer<typeof SandboxCheckExistBodySchema>;
export type SandboxCheckExistResponse = z.infer<typeof SandboxCheckExistResponseSchema>;
packages/global/openapi/core/ai/sandbox/index.ts 0 → 100644
import type { OpenAPIPath } from '../../../type';
import { TagsMap } from '../../../tag';
import {
SandboxFileOperationBodySchema,
SandboxFileOperationResponseSchema,
SandboxCheckExistBodySchema,
SandboxCheckExistResponseSchema
} from './api';
export const SandboxPath: OpenAPIPath = {
'/core/ai/sandbox/file': {
post: {
summary: '沙盒文件操作',
description: '统一文件操作接口，支持列出目录（list）、读取文件（read）、写入文件（write）',
tags: [TagsMap.sandbox],
requestBody: {
content: {
'application/json': {
schema: SandboxFileOperationBodySchema
}
}
},
responses: {
200: {
description: '操作成功',
content: {
'application/json': {
schema: SandboxFileOperationResponseSchema
}
}
}
}
}
},
'/core/ai/sandbox/download': {
post: {
summary: '下载沙盒文件或目录',
description: '将指定路径的文件或目录打包为 zip 并下载',
tags: [TagsMap.sandbox],
requestBody: {
content: {
'application/json': {
schema: SandboxCheckExistBodySchema.extend({
path: SandboxFileOperationBodySchema.options[0].shape.path
})
}
}
},
responses: {
200: {
description: '返回 zip 文件流',
content: {
'application/octet-stream': {
schema: {
type: 'string',
format: 'binary'
}
}
}
}
}
}
},
'/core/ai/sandbox/checkExist': {
post: {
summary: '检查沙盒是否存在',
description: '根据 appId 和 chatId 检查对应的沙盒实例是否存在',
tags: [TagsMap.sandbox],
requestBody: {
content: {
'application/json': {
schema: SandboxCheckExistBodySchema
}
}
},
responses: {
200: {
description: '返回沙盒是否存在',
content: {
'application/json': {
schema: SandboxCheckExistResponseSchema
}
}
}
}
}
}
};
packages/global/openapi/index.ts
......@@ -34,7 +34,7 @@ export const openAPIDocument = createDocument({
},
{
name: 'AI 相关',
tags: [TagsMap.aiSkill]
tags: [TagsMap.aiSkill, TagsMap.sandbox]
},
{
name: '对话',
......@@ -60,6 +60,7 @@ export const openAPIDocument = createDocument({
name: '通用-核心功能',
tags: [TagsMap.aiCommon]
},
{
name: '通用-辅助功能',
tags: [TagsMap.customDomain, TagsMap.apiKey]
......
packages/global/openapi/tag.ts
......@@ -8,6 +8,8 @@ export const TagsMap = {
aiSkill: 'AI技能管理',
// AI
aiCommon: 'AI 通用 接口',
// Sandbox
sandbox: 'AI 沙盒',
// App 管理
// Agent - common
......
packages/global/package.json
......@@ -2,8 +2,8 @@
"name": "@fastgpt/global",
"version": "1.0.0",
"engines": {
"node": ">=20.x",
"pnpm": ">=9.x"
"node": ">=20",
"pnpm": ">=9"
},
"dependencies": {
"@fastgpt-sdk/plugin": "0.3.8",
......
packages/global/support/outLink/type.ts
......@@ -8,9 +8,6 @@ export interface FeishuAppType {
// Encrypt config
// refer to: https://open.feishu.cn/document/server-docs/event-subscription-guide/event-subscription-configure-/configure-encrypt-key
encryptKey?: string; // no secret if null
// Token Verification
// refer to: https://open.feishu.cn/document/server-docs/event-subscription-guide/event-subscription-configure-/encrypt-key-encryption-configuration-case
verificationToken?: string;
}
export interface DingtalkAppType {
......
packages/global/support/wallet/sub/type.ts
......@@ -27,6 +27,8 @@ export const TeamStandardSubPlanItemSchema = z.object({
maxUploadFileSize: z.int().optional(), // 最大上传文件大小（MB）
maxUploadFileCount: z.int().optional(), // 最大上传文件数量
enableSandbox: z.boolean().optional(), // 虚拟机
// 定制套餐
priceDescription: z.string().optional(), // 价格描述
customFormUrl: z.string().optional(), // 自定义表单 URL
......@@ -107,7 +109,8 @@ export const TeamSubSchema = z.object({
ticketResponseTime: z.int().optional(),
customDomain: z.int().optional(),
maxUploadFileSize: z.int().optional(),
maxUploadFileCount: z.int().optional()
maxUploadFileCount: z.int().optional(),
enableSandbox: z.boolean().optional() // 虚拟机
});
export type TeamSubSchemaType = z.infer<typeof TeamSubSchema>;
......
packages/service/common/bullmq/index.ts
......@@ -27,6 +27,7 @@ export enum QueueNames {
datasetSync = 'datasetSync',
evaluation = 'evaluation',
s3FileDelete = 's3FileDelete',
collectionUpdate = 'collectionUpdate',
// Delete Queue
datasetDelete = 'datasetDelete',
......
packages/service/common/logger/categories.ts
......@@ -75,7 +75,8 @@ export const LogCategories = {
LLM: ['ai', 'llm'],
MODEL: ['ai', 'model'],
OPTIMIZE_PROMPT: ['ai', 'optimize-prompt'],
RERANK: ['ai', 'rerank']
RERANK: ['ai', 'rerank'],
SANDBOX: ['ai', 'sandbox']
}),
USER: Object.assign(['user'], {
ACCOUNT: ['user', 'account'],
......
packages/service/common/logger/client.ts
import { AsyncLocalStorage } from 'node:async_hooks';
import { configure, dispose, Logger } from '@logtape/logtape';
import { configureLoggerFromEnv, disposeLogger, getLogger } from '@fastgpt-sdk/logger';
import { env } from '../../env';
import { createSinks } from './sinks';
import { createLoggers } from './loggers';
import { getLogger as getLogtapeLogger } from '@logtape/logtape';
let configured = false;
export async function configureLogger() {
if (configured) return;
const {
LOG_ENABLE_CONSOLE,
LOG_ENABLE_OTEL,
LOG_OTEL_SERVICE_NAME,
LOG_OTEL_URL,
LOG_CONSOLE_LEVEL,
LOG_OTEL_LEVEL
} = env;
const { sinks, composedSinks } = await createSinks({
enableConsole: LOG_ENABLE_CONSOLE,
enableOtel: LOG_ENABLE_OTEL,
otelServiceName: LOG_OTEL_SERVICE_NAME,
otelUrl: LOG_OTEL_URL,
consoleLevel: LOG_CONSOLE_LEVEL,
otelLevel: LOG_OTEL_LEVEL
await configureLoggerFromEnv({
env,
defaultCategory: ['system'],
defaultServiceName: 'fastgpt-client',
sensitiveProperties: ['fastgpt']
});
const loggers = createLoggers({ composedSinks });
const contextLocalStorage = new AsyncLocalStorage<Record<string, unknown>>();
await configure({
contextLocalStorage,
loggers,
sinks
});
configured = true;
}
export async function disposeLogger() {
if (!configured) return;
await dispose();
configured = false;
}
export function getLogger(category: readonly string[] = ['system']) {
const logger = getLogtapeLogger(category);
return new Proxy(logger, {
get(target, prop, receiver) {
const fn = Reflect.get(target, prop, receiver);
if (typeof fn !== 'function') return fn;
return (...args: unknown[]) => {
if (args.length === 0) return fn.call(target);
const [f, s] = args;
if (args.length === 1) {
return fn.call(target, f);
}
if (typeof f === 'string') {
if (
typeof s === 'object' &&
s &&
'verbose' in s &&
typeof s.verbose === 'boolean' &&
!s.verbose
) {
delete s.verbose;
return fn.call(target, f, s);
}
return fn.call(target, `${f}: {*}`, s);
}
if (typeof f === 'object') {
return fn.call(target, f);
}
return fn.apply(target, args);
};
}
});
}
export { disposeLogger, getLogger };
packages/service/common/logger/index.ts
export { configureLogger, disposeLogger, getLogger } from './client';
export { withContext, withCategoryPrefix } from '@logtape/logtape';
export { withContext, withCategoryPrefix } from '@fastgpt-sdk/logger';
export { LogCategories } from './categories';
export type { LogCategory } from './categories';
packages/service/common/logger/loggers.ts deleted 100644 → 0
import type { Config, LogLevel } from '@logtape/logtape';
import { moduleCategories } from './categories';
type SinkId = 'console' | 'jsonl' | 'otel';
type FilterId = string;
type LogTapeConfig<S extends string = SinkId, F extends string = FilterId> = Config<S, F>;
type LoggerConfig = LogTapeConfig['loggers'];
type CreateLoggersOptions = {
composedSinks: SinkId[];
};
export function createLoggers(options: CreateLoggersOptions) {
const { composedSinks } = options;
const loggers: LoggerConfig = [
{
category: [],
lowestLevel: 'trace',
sinks: ['console']
},
// logtape 内部日志
{
category: ['logtape', 'meta'],
lowestLevel: 'fatal',
parentSinks: 'override',
sinks: ['console']
},
// 应用层日志
{
category: ['system'],
lowestLevel: 'trace',
parentSinks: 'override',
sinks: composedSinks
},
// 错误层日志
{
category: ['error'],
lowestLevel: 'error',
parentSinks: 'override',
sinks: composedSinks
},
// HTTP 层日志
{
category: ['http'],
lowestLevel: 'trace',
parentSinks: 'override',
sinks: composedSinks
},
// 基础设施层日志
{
category: ['infra'],
lowestLevel: 'trace',
parentSinks: 'override',
sinks: composedSinks
},
// 业务模块层日志
...moduleCategories.map(
(category) =>
({
category: [category],
lowestLevel: 'trace' as const,
parentSinks: 'override',
sinks: composedSinks
}) satisfies LoggerConfig[number]
),
// 事件层日志
{
category: ['event'],
lowestLevel: 'trace',
parentSinks: 'override',
sinks: composedSinks
}
];
return loggers;
}
packages/service/common/logger/sinks.ts deleted 100644 → 0
import type { Config, LogLevel, LogRecord } from '@logtape/logtape';
import { getConsoleSink, withFilter } from '@logtape/logtape';
import { getPrettyFormatter } from '@logtape/pretty';
import { getOpenTelemetrySink } from './otel';
import dayjs from 'dayjs';
import { mapLevelToSeverityNumber, sensitiveProperties } from './helpers';
type SinkId = 'console' | 'jsonl' | 'otel';
type FilterId = string;
type LogTapeConfig<S extends string = SinkId, F extends string = FilterId> = Config<S, F>;
type SinkConfig = LogTapeConfig<string>['sinks'];
type CreateSinksOptions = {
enableConsole: boolean;
enableOtel: boolean;
otelServiceName: string;
otelUrl?: string;
consoleLevel?: LogLevel;
otelLevel?: LogLevel;
};
type CreateSinksResult = {
sinks: SinkConfig;
composedSinks: SinkId[];
};
export async function createSinks(options: CreateSinksOptions): Promise<CreateSinksResult> {
const {
enableConsole,
enableOtel,
otelServiceName,
otelUrl,
consoleLevel = 'trace',
otelLevel = 'info'
} = options;
const sinkConfig = {
bufferSize: 8192,
flushInterval: 5000,
nonBlocking: true,
lazy: true
} as const;
const sinks: SinkConfig = {};
const composedSinks: SinkId[] = [];
const levelFilter = (record: LogRecord, level: LogLevel) => {
return mapLevelToSeverityNumber(record.level) >= mapLevelToSeverityNumber(level);
};
if (enableConsole) {
sinks.console = withFilter(
getConsoleSink({
...sinkConfig,
formatter: getPrettyFormatter({
icons: false,
level: 'ABBR',
wordWrap: false,
messageColor: null,
categoryColor: null,
timestampColor: null,
levelStyle: 'reset',
messageStyle: 'reset',
categoryStyle: 'reset',
timestampStyle: 'reset',
categorySeparator: ':',
timestamp: () => dayjs().format('YYYY-MM-DD HH:mm:ss'),
// Full depth for nested objects (e.g. Zod errors) in console output
inspectOptions: { depth: 5 }
})
}),
(record) => levelFilter(record, consoleLevel)
);
composedSinks.push('console');
console.log('✓ Logtape console sink enabled');
}
if (enableOtel) {
if (!otelUrl) {
throw new Error('LOG_OTEL_URL is required when LOG_ENABLE_OTEL is true');
}
sinks.otel = withFilter(
getOpenTelemetrySink({
serviceName: otelServiceName,
otlpExporterConfig: {
url: otelUrl
}
}),
(record) => {
const lvlCd = levelFilter(record, otelLevel);
const spCd = sensitiveProperties.some((sp) => sp in record.properties);
return lvlCd && !spCd;
}
);
composedSinks.push('otel');
console.log(`✓ Logtape OpenTelemetry URL: ${otelUrl}`);
console.log(`✓ Logtape OpenTelemetry service name: ${otelServiceName}`);
console.log('✓ Logtape OpenTelemetry enabled');
}
return { sinks, composedSinks };
}
packages/service/common/system/utils.ts
import { isIP } from 'net';
import * as dns from 'node:dns/promises';
import { SERVICE_LOCAL_HOST } from './tools';
import { isDevEnv } from '@fastgpt/global/common/system/constants';
import { isIP, isIPv6 } from 'net';
import dns from 'dns/promises';
export const isInternalAddress = async (url: string): Promise<boolean> => {
if (isDevEnv) return false;
const isDevEnv = process.env.NODE_ENV === 'development';
const SERVICE_LOCAL_PORT = `${process.env.PORT || 3000}`;
const SERVICE_LOCAL_HOST =
process.env.HOSTNAME && isIPv6(process.env.HOSTNAME)
? `[${process.env.HOSTNAME}]:${SERVICE_LOCAL_PORT}`
: `${process.env.HOSTNAME || 'localhost'}:${SERVICE_LOCAL_PORT}`;
export const isInternalAddress = async (url: string): Promise<boolean> => {
const isInternalIPv6 = (ip: string): boolean => {
// 移除 IPv6 地址中的方括号（如果有）
const cleanIp = ip.replace(/^\[|\]$/g, '');
......
packages/service/core/ai/llm/agentCall/index.ts
......@@ -275,6 +275,7 @@ export const runAgentCall = async ({
throwError: false,
body: {
...body,
max_tokens,
model,
messages: requestMessages,
tool_choice: consecutiveRequestToolTimes > 5 ? 'none' : 'auto',
......
packages/service/core/ai/llm/compress/index.ts
......@@ -442,16 +442,6 @@ export const compressToolResponse = async ({
// 取静态阈值和动态可用空间的较小值
const maxTokens = Math.min(staticMaxTokens, availableSpace);
logger.info('Tool Response Compression', {
responseTokens: await countGptMessagesTokens([{ role: 'user', content: response }]),
currentMessagesTokens,
maxContext: model.maxContext,
reservedTokens,
availableSpace,
staticMaxTokens,
finalMaxTokens: maxTokens
});
// 调用通用压缩函数
return compressLargeContent({
content: response,
......
packages/service/core/ai/llm/request.ts
......@@ -16,7 +16,7 @@ import {
parseLLMStreamResponse,
parseReasoningContent
} from '../utils';
import { removeDatasetCiteText } from '@fastgpt/global/core/ai/llm/utils';
import { getLLMSupportParams, removeDatasetCiteText } from '@fastgpt/global/core/ai/llm/utils';
import { getAIApi } from '../config';
import type { OpenaiAccountType } from '@fastgpt/global/support/user/team/type';
import { customNanoid, getNanoid } from '@fastgpt/global/common/string/tools';
......@@ -772,6 +772,21 @@ const llmCompletionsBodyFormat = async <T extends CompletionsBodyType>({
Object.entries(requestBody).filter(([_, value]) => value !== null && value !== undefined)
) as T;
const supportParams = getLLMSupportParams(modelData);
if (!supportParams.temperature) {
delete requestBody.temperature;
}
if (!supportParams.topP) {
delete requestBody.top_p;
}
if (!supportParams.stop) {
delete requestBody.stop;
}
if (!supportParams.responseFormat) {
delete requestBody.response_format;
}
// field map
if (modelData.fieldMap) {
Object.entries(modelData.fieldMap).forEach(([sourceKey, targetKey]) => {
......
packages/service/core/ai/sandbox/controller.ts 0 → 100644
import {
generateSandboxId,
SandboxStatusEnum,
SANDBOX_SUSPEND_MINUTES
} from '@fastgpt/global/core/ai/sandbox/constants';
import { env } from '../../../env';
import { MongoSandboxInstance } from './schema';
import {
createSandbox,
type ExecuteResult,
type ISandbox,
type ResourceLimits
} from '@fastgpt-sdk/sandbox-adapter';
import { getLogger, LogCategories } from '../../../common/logger';
import { setCron } from '../../../common/system/cron';
import { subMinutes } from 'date-fns';
import { batchRun } from '@fastgpt/global/common/system/utils';
import { getErrText } from '@fastgpt/global/common/error/utils';
const logger = getLogger(LogCategories.MODULE.AI.SANDBOX);
type UnionIdType = {
appId: string;
userId: string;
chatId: string;
};
export class SandboxClient {
private appId?: string;
private userId?: string;
private chatId?: string;
private sandboxId: string;
readonly provider: ISandbox;
constructor(
props:
| {
sandboxId: string;
}
| UnionIdType,
opts: {
resourceLimits?: ResourceLimits;
} = {}
) {
if ('sandboxId' in props) {
this.sandboxId = props.sandboxId;
} else {
this.appId = props.appId;
this.userId = props.userId;
this.chatId = props.chatId;
this.sandboxId = generateSandboxId(this.appId, this.userId, this.chatId);
}
const providerName = env.AGENT_SANDBOX_PROVIDER;
const params = (() => {
if (providerName === 'sealosdevbox') {
if (!env.AGENT_SANDBOX_SEALOS_BASEURL || !env.AGENT_SANDBOX_SEALOS_TOKEN) {
throw new Error('AGENT_SANDBOX_SEALOS_BASEURL / AGENT_SANDBOX_SEALOS_TOKEN required');
}
return {
provider: 'sealosdevbox' as const,
config: {
baseUrl: env.AGENT_SANDBOX_SEALOS_BASEURL,
token: env.AGENT_SANDBOX_SEALOS_TOKEN,
sandboxId: this.sandboxId
},
createConfig: undefined
};
} else if (!providerName) {
throw new Error(
'AGENT_SANDBOX_PROVIDER is not configured. Please set it in your environment variables.'
);
} else {
throw new Error(`Unsupported sandbox provider: ${env.AGENT_SANDBOX_PROVIDER}`);
}
})();
this.provider = createSandbox(params.provider, params.config, params.createConfig);
}
async ensureAvailable() {
await MongoSandboxInstance.findOneAndUpdate(
{ provider: this.provider.provider, sandboxId: this.sandboxId },
{
$set: {
status: SandboxStatusEnum.running,
lastActiveAt: new Date()
},
$setOnInsert: {
...(this.appId ? { appId: this.appId } : {}),
...(this.userId ? { userId: this.userId } : {}),
...(this.chatId ? { chatId: this.chatId } : {}),
createdAt: new Date()
}
},
{ upsert: true }
);
await this.provider.ensureRunning();
}
async exec(command: string, timeout?: number): Promise<ExecuteResult> {
try {
await this.ensureAvailable();
} catch (err) {
logger.error('Failed to ensure sandbox available', { sandboxId: this.sandboxId, error: err });
return {
stdout: '',
stderr: `Sandbox service is not available: ${getErrText(err)}`,
exitCode: -1
};
}
return await this.provider
.execute(command, {
timeoutMs: timeout ? timeout * 1000 : undefined
})
.catch((err) => {
logger.error('Failed to execute sandbox', { sandboxId: this.sandboxId, error: err });
return {
stdout: '',
stderr: `Failed to execute sandbox: ${getErrText(err)}`,
exitCode: -1
};
});
}
async delete() {
await this.provider.delete();
await MongoSandboxInstance.deleteOne({ sandboxId: this.sandboxId });
}
async stop() {
await this.provider.stop();
await MongoSandboxInstance.updateOne(
{ sandboxId: this.sandboxId },
{ $set: { status: SandboxStatusEnum.stoped } }
);
}
}
// ==== Delete Sandboxes ====
export const deleteSandboxesByChatIds = async ({
appId,
chatIds
}: {
appId: string;
chatIds: string[];
}) => {
const instances = await MongoSandboxInstance.find({ appId, chatId: { $in: chatIds } }).lean();
if (!instances.length) return;
await Promise.allSettled(
instances.map((doc) =>
new SandboxClient({
sandboxId: doc.sandboxId
})
.delete()
.catch((err) => {
logger.error('Failed to delete sandbox', { sandboxId: doc.sandboxId, error: err });
})
)
);
};
export const deleteSandboxesByAppId = async (appId: string) => {
const instances = await MongoSandboxInstance.find({ appId }).lean();
if (!instances.length) return;
await Promise.allSettled(
instances.map((doc) =>
new SandboxClient({
sandboxId: doc.sandboxId
}).delete()
)
);
};
// 5 分钟检查一遍，暂停
export const cronJob = async () => {
setCron('*/5 * * * *', async () => {
const instances = await MongoSandboxInstance.find({
status: SandboxStatusEnum.running,
lastActiveAt: { $lt: subMinutes(new Date(), SANDBOX_SUSPEND_MINUTES) }
}).lean();
if (!instances.length) return;
logger.info('Found running sandboxes inactive > 5 min', { count: instances.length });
await batchRun(instances, (doc) =>
new SandboxClient({
sandboxId: doc.sandboxId
})
.stop()
.catch((error) => {
logger.error('Failed to stop sandbox', { sandboxId: doc.sandboxId, error });
})
);
});
};
packages/service/core/ai/sandbox/index.ts 0 → 100644
export type { ISandbox } from '@fastgpt-sdk/sandbox-adapter';
packages/service/core/ai/sandbox/schema.ts 0 → 100644
import { connectionMongo, getMongoModel } from '../../../common/mongo';
const { Schema } = connectionMongo;
import type { SandboxInstanceSchemaType } from './type';
import { SandboxStatusEnum } from '@fastgpt/global/core/ai/sandbox/constants';
import { AppCollectionName } from '../../app/schema';
import { SandboxLimitSchema, SandboxProviderSchema } from './type';
export const collectionName = 'agent_sandbox_instances';
const SandboxInstanceSchema = new Schema({
provider: {
type: String,
enum: SandboxProviderSchema.options,
required: true
},
// 唯一 id，chat 模式下，由 3 个 id hash 获取。
sandboxId: {
type: String,
required: true
},
// Chat 模式下会关联会话。Skill editor 不需要 appId,userId,chatId
appId: {
type: Schema.Types.ObjectId,
ref: AppCollectionName
},
userId: String,
chatId: String,
status: {
type: String,
enum: Object.values(SandboxStatusEnum),
default: SandboxStatusEnum.running,
required: true
},
lastActiveAt: {
type: Date,
default: () => new Date(),
required: true
},
createdAt: {
type: Date,
default: () => new Date(),
required: true
},
limit: {
type: SandboxLimitSchema.shape
}
});
SandboxInstanceSchema.index(
{ appId: 1, userId: 1, chatId: 1 },
{
unique: true,
partialFilterExpression: {
appId: { $exists: true, $ne: null },
userId: { $exists: true, $ne: null },
chatId: { $exists: true, $ne: null }
}
}
);
SandboxInstanceSchema.index({ status: 1, lastActiveAt: 1 });
SandboxInstanceSchema.index({ provider: 1, sandboxId: 1 }, { unique: true });
export const MongoSandboxInstance = getMongoModel<SandboxInstanceSchemaType>(
collectionName,
SandboxInstanceSchema
);
packages/service/core/ai/sandbox/type.ts 0 → 100644
import z from 'zod';
import { SandboxStatusEnum } from '@fastgpt/global/core/ai/sandbox/constants';
// ---- 沙盒实例 DB 类型 ----
export const SandboxProviderSchema = z.enum(['sealosdevbox']);
export type SandboxProviderType = z.infer<typeof SandboxProviderSchema>;
export const SandboxLimitSchema = z.object({
cpuCount: z.number(),
memoryMiB: z.number(),
diskGiB: z.number()
});
export const SandboxInstanceZodSchema = z.object({
_id: z.string(),
sandboxId: z.string(),
appId: z.string().nullish(),
userId: z.string().nullish(),
chatId: z.string().nullish(),
status: z.enum(SandboxStatusEnum),
lastActiveAt: z.date(),
createdAt: z.date(),
limit: SandboxLimitSchema.nullish(),
provider: SandboxProviderSchema
});
export type SandboxInstanceSchemaType = z.infer<typeof SandboxInstanceZodSchema>;
packages/service/core/app/controller.ts
......@@ -30,6 +30,7 @@ import { MongoMcpKey } from '../../support/mcp/schema';
import { MongoAppRecord } from './record/schema';
import { mongoSessionRun } from '../../common/mongo/sessionRun';
import { getLogger, LogCategories } from '../../common/logger';
import { deleteSandboxesByAppId } from '../ai/sandbox/controller';
const logger = getLogger(LogCategories.MODULE.APP.FOLDER);
......@@ -152,7 +153,10 @@ export const deleteAppDataProcessor = async ({
// 1. 删除应用头像
await removeImageByPath(app.avatar);
// 2. 删除聊天记录和S3文件
// 删除沙盒实例
await deleteSandboxesByAppId(appId);
await getS3ChatSource().deleteChatFilesByPrefix({ appId });
await MongoAppChatLog.deleteMany({ teamId, appId });
await MongoChatItemResponse.deleteMany({ appId });
......
packages/service/core/dataset/collection/mq.ts 0 → 100644
import { getWorker, QueueNames, getQueue, type Job } from '../../../common/bullmq';
import { MongoDatasetCollection } from './schema';
import { getLogger, LogCategories } from '../../../common/logger';
const logger = getLogger(LogCategories.MODULE.DATASET.COLLECTION);
export type CollectionUpdateJobData = {
teamId: string;
datasetId: string;
collectionId: string;
};
/**
* Initialize Collection Update Worker
* This worker handles collection updates (updateTime, etc.) with debounce mechanism
*/
export const initCollectionUpdateWorker = () => {
const worker = getWorker<CollectionUpdateJobData>(
QueueNames.collectionUpdate,
async (job: Job<CollectionUpdateJobData>) => {
const { collectionId } = job.data;
try {
// Update collection updateTime and other operations
await MongoDatasetCollection.updateOne(
{
_id: collectionId
},
{
$set: {
updateTime: new Date()
// TODO: 更新统计数据
}
}
);
logger.debug('Collection updated', {
collectionId
});
} catch (error) {
logger.error('Failed to update collection', {
collectionId,
error
});
throw error;
}
},
{
concurrency: 3, // Process 3 jobs concurrently
removeOnComplete: {
count: 0 // Remove completed jobs immediately
},
removeOnFail: {
count: 1000, // Keep last 1000 failed jobs
age: 30 * 24 * 60 * 60 // Keep failed jobs for 30 days (in seconds)
}
}
);
logger.info('Collection Update worker initialized');
return worker;
};
/**
* Push collection update job to queue with debounce
* @param collectionId - Collection ID
* @param datasetId - Dataset ID
* @param teamId - Team ID
* @param delay - Delay in milliseconds (default: 5000ms = 5s)
*/
export const pushCollectionUpdateJob = async (data: CollectionUpdateJobData) => {
const queue = getQueue<CollectionUpdateJobData>(QueueNames.collectionUpdate);
// Use jobId to ensure only one job per collection (debounce mechanism)
// If a job with the same jobId already exists, it will be replaced
const jobId = `collection-update-${data.collectionId}`;
try {
await queue.add('updateCollection', data, {
jobId, // Unique job ID for debounce
delay: 5000 // Delay execution by 5 seconds
});
logger.debug('Collection update job pushed', {
collectionId: data.collectionId
});
} catch (error) {
logger.error('Failed to push collection update job', {
collectionId: data.collectionId,
error
});
}
};
packages/service/core/workflow/dispatch/ai/agent/index.ts
......@@ -49,6 +49,9 @@ export type DispatchAgentModuleProps = ModuleDispatchProps<{
// Knowledge base search configuration
[NodeInputKeyEnum.datasetParams]?: AppFormEditFormType['dataset'];
// Sandbox (Computer Use)
[NodeInputKeyEnum.useAgentSandbox]?: boolean;
}>;
type Response = DispatchNodeResultType<{
......@@ -85,7 +88,9 @@ export const dispatchRunAgent = async (props: DispatchAgentModuleProps): Promise
fileUrlList: fileLinks,
agent_selectedTools: selectedTools = [],
// Dataset search configuration
agent_datasetParams: datasetParams
agent_datasetParams: datasetParams,
// Sandbox (Computer Use)
useAgentSandbox = false
}
} = props;
const chatHistories = getHistories(history, histories);
......@@ -162,7 +167,8 @@ export const dispatchRunAgent = async (props: DispatchAgentModuleProps): Promise
lang,
getPlanTool: true,
hasDataset: datasetParams && datasetParams.datasets.length > 0,
hasFiles: !!chatConfig?.fileSelectConfig?.canSelectFile
hasFiles: !!chatConfig?.fileSelectConfig?.canSelectFile,
useAgentSandbox
}
);
......
packages/service/core/workflow/dispatch/ai/agent/master/call.ts
......@@ -14,6 +14,7 @@ import { dispatchTool } from '../sub/tool';
import { getErrText } from '@fastgpt/global/common/error/utils';
import { DatasetSearchToolSchema } from '../sub/dataset/utils';
import { dispatchAgentDatasetSearch } from '../sub/dataset';
import { dispatchSandboxShell } from '../sub/sandbox';
import type { DispatchAgentModuleProps } from '..';
import { getLLMModel } from '../../../../../ai/model';
import { getStepCallQuery, getStepDependon } from './dependon';
......@@ -31,6 +32,10 @@ import { PlanAgentParamsSchema } from '../sub/plan/constants';
import { filterMemoryMessages } from '../../utils';
import { dispatchApp, dispatchPlugin } from '../sub/app';
import { getLogger, LogCategories } from '../../../../../../common/logger';
import {
SandboxShellToolSchema,
SANDBOX_TOOL_NAME
} from '@fastgpt/global/core/ai/sandbox/constants';
type Response = {
stepResponse?: {
......@@ -85,7 +90,9 @@ export const masterCall = async ({
params: {
model,
// Dataset search configuration
agent_datasetParams: datasetParams
agent_datasetParams: datasetParams,
// Sandbox (Computer Use)
useAgentSandbox = false
}
} = props;
......@@ -177,7 +184,11 @@ export const masterCall = async ({
const messages: ChatCompletionMessageParam[] = [
{
role: 'system' as const,
content: getMasterSystemPrompt(systemPrompt, hasUserTools)
content: getMasterSystemPrompt({
systemPrompt,
hasUserTools,
useAgentSandbox
})
},
...masterMessages
];
......@@ -365,6 +376,33 @@ export const masterCall = async ({
usages: result.usages
};
}
if (toolId === SANDBOX_TOOL_NAME) {
const toolParams = SandboxShellToolSchema.safeParse(
parseJsonArgs(call.function.arguments)
);
if (!toolParams.success) {
return {
response: toolParams.error.message,
usages: []
};
}
const result = await dispatchSandboxShell({
command: toolParams.data.command,
timeout: toolParams.data.timeout,
appId: runningAppInfo.id,
userId: props.uid,
chatId,
lang: props.lang
});
childrenResponses.push(result.nodeResponse);
return {
response: result.response,
usages: result.usages
};
}
if (toolId === SubAppIds.plan) {
try {
const toolArgs = await PlanAgentParamsSchema.safeParseAsync(
......
packages/service/core/workflow/dispatch/ai/agent/master/prompt.ts
import { SubAppIds } from '@fastgpt/global/core/workflow/node/agent/constants';
export const getMasterSystemPrompt = (systemPrompt?: string, hasUserTools: boolean = true) => {
import { SANDBOX_SYSTEM_PROMPT } from '@fastgpt/global/core/ai/sandbox/constants';
export const getMasterSystemPrompt = ({
systemPrompt,
hasUserTools,
useAgentSandbox
}: {
systemPrompt?: string;
hasUserTools: boolean;
useAgentSandbox: boolean;
}) => {
return `<!-- Master Agent 决策系统 -->
<role>
......@@ -17,6 +26,15 @@ ${systemPrompt}
: ''
}
${
useAgentSandbox
? `
<sandbox_environment>
${SANDBOX_SYSTEM_PROMPT}
</sandbox_environment>
`
: ''
}
<decision_paths>
三种执行路径：
......
packages/service/core/workflow/dispatch/ai/agent/sub/sandbox/index.ts 0 → 100644
import { SandboxClient } from '../../../../../../ai/sandbox/controller';
import type { ChatNodeUsageType } from '@fastgpt/global/support/wallet/bill/type';
import { getNanoid } from '@fastgpt/global/common/string/tools';
import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
import type { ChatHistoryItemResType } from '@fastgpt/global/core/chat/type';
import { getLogger, LogCategories } from '../../../../../../../common/logger';
import {
SANDBOX_ICON,
SANDBOX_NAME,
SANDBOX_TOOL_NAME
} from '@fastgpt/global/core/ai/sandbox/constants';
import { getErrText } from '@fastgpt/global/common/error/utils';
import { parseI18nString } from '@fastgpt/global/common/i18n/utils';
import type { localeType } from '@fastgpt/global/common/i18n/type';
type SandboxShellParams = {
command: string;
timeout?: number;
appId: string;
userId: string;
chatId: string;
lang?: localeType;
};
export const dispatchSandboxShell = async ({
command,
timeout,
appId,
userId,
chatId,
lang
}: SandboxShellParams): Promise<{
response: string;
usages: ChatNodeUsageType[];
nodeResponse: ChatHistoryItemResType;
}> => {
const startTime = Date.now();
const nodeId = getNanoid(6);
const moduleName = parseI18nString(SANDBOX_NAME, lang);
try {
const sandboxInstance = new SandboxClient({
appId,
userId,
chatId
});
const result = await sandboxInstance.exec(command, timeout);
const response = JSON.stringify({
stdout: result.stdout,
stderr: result.stderr,
exitCode: result.exitCode
});
getLogger(LogCategories.MODULE.AI.AGENT).info('[Sandbox Shell] Command executed', {
command,
exitCode: result.exitCode,
stdoutLength: result.stdout?.length || 0,
stderrLength: result.stderr?.length || 0
});
return {
response,
usages: [],
nodeResponse: {
nodeId,
id: nodeId,
moduleType: FlowNodeTypeEnum.tool,
moduleName,
moduleLogo: SANDBOX_ICON,
toolId: SANDBOX_TOOL_NAME,
toolInput: { command, timeout },
toolRes: response,
totalPoints: 0,
runningTime: +((Date.now() - startTime) / 1000).toFixed(2)
}
};
} catch (error) {
getLogger(LogCategories.MODULE.AI.AGENT).error('[Sandbox Shell] Execution failed', { error });
const errorResponse = JSON.stringify({
stdout: '',
stderr: getErrText(error),
exitCode: -1
});
return {
response: errorResponse,
usages: [],
nodeResponse: {
nodeId,
id: nodeId,
moduleType: FlowNodeTypeEnum.tool,
moduleName,
moduleLogo: SANDBOX_ICON,
toolInput: { command, timeout },
toolRes: errorResponse,
totalPoints: 0,
runningTime: +((Date.now() - startTime) / 1000).toFixed(2)
}
};
}
};
packages/service/core/workflow/dispatch/ai/agent/utils.ts
import type { localeType } from '@fastgpt/global/common/i18n/type';
import type { SkillToolType } from '@fastgpt/global/core/ai/skill/type';
import type { ChatCompletionTool } from '@fastgpt/global/core/ai/type';
import type { SubAppRuntimeType } from './type';
import { getAgentRuntimeTools } from './sub/tool/utils';
import type { ChatCompletionTool } from '@fastgpt/global/core/ai/type';
import { readFileTool } from './sub/file/utils';
import { PlanAgentTool } from './sub/plan/constants';
import { datasetSearchTool } from './sub/dataset/utils';
import { SANDBOX_TOOLS } from '@fastgpt/global/core/ai/sandbox/constants';
export const getSubapps = async ({
tmbId,
......@@ -13,7 +14,8 @@ export const getSubapps = async ({
lang,
getPlanTool,
hasDataset,
hasFiles
hasFiles,
useAgentSandbox
}: {
tmbId: string;
tools: SkillToolType[];
......@@ -21,6 +23,7 @@ export const getSubapps = async ({
getPlanTool?: Boolean;
hasDataset?: boolean;
hasFiles: boolean;
useAgentSandbox: boolean;
}): Promise<{
completionTools: ChatCompletionTool[];
subAppsMap: Map<string, SubAppRuntimeType>;
......@@ -42,6 +45,11 @@ export const getSubapps = async ({
completionTools.push(datasetSearchTool);
}
/* Sandbox Shell */
if (useAgentSandbox) {
completionTools.push(...SANDBOX_TOOLS);
}
/* System tool */
const formatTools = await getAgentRuntimeTools({
tools,
......
packages/service/core/workflow/dispatch/ai/tool/constants.ts
import { replaceVariable } from '@fastgpt/global/common/string/tools';
import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
import { getNanoid } from '@fastgpt/global/common/string/tools';
import type { ChildResponseItemType } from './type';
import { SANDBOX_TOOL_NAME } from '@fastgpt/global/core/ai/sandbox/constants';
export const getMultiplePrompt = (obj: {
fileCount: number;
......@@ -12,3 +16,36 @@ Image：{{imgCount}}
{{question}}`;
return replaceVariable(prompt, obj);
};
export const getSandboxToolWorkflowResponse = ({
name,
logo,
input,
response,
durationSeconds
}: {
name: string;
logo: string;
input: Record<string, any>;
response: string;
durationSeconds: number;
}): ChildResponseItemType => {
return {
flowResponses: [
{
moduleName: name,
moduleType: FlowNodeTypeEnum.tool,
moduleLogo: logo,
toolId: SANDBOX_TOOL_NAME,
toolInput: input,
toolRes: response,
totalPoints: 0,
id: getNanoid(),
nodeId: getNanoid(),
runningTime: durationSeconds
}
],
flowUsages: [],
runTimes: 0
};
};
packages/service/core/workflow/dispatch/ai/tool/index.ts
......@@ -62,7 +62,8 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<
fileUrlList: fileLinks,
aiChatVision,
aiChatReasoning,
isResponseAnswerText = true
isResponseAnswerText = true,
useAgentSandbox = false
}
} = props;
......@@ -220,7 +221,8 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<
toolModel,
messages: adaptMessages,
childrenInteractiveParams:
lastInteractive?.type === 'toolChildrenInteractive' ? lastInteractive.params : undefined
lastInteractive?.type === 'toolChildrenInteractive' ? lastInteractive.params : undefined,
useAgentSandbox
});
})();
......
packages/service/core/workflow/dispatch/ai/tool/toolCall.ts
......@@ -6,8 +6,7 @@ import type {
import { SseResponseEventEnum } from '@fastgpt/global/core/workflow/runtime/constants';
import { textAdaptGptResponse } from '@fastgpt/global/core/workflow/runtime/utils';
import { runWorkflow } from '../../index';
import type { DispatchToolModuleProps, ToolNodeItemType } from './type';
import type { DispatchFlowResponse } from '../../type';
import type { ChildResponseItemType, DispatchToolModuleProps, ToolNodeItemType } from './type';
import { chats2GPTMessages, GPTMessages2Chats } from '@fastgpt/global/core/chat/adapt';
import type { AIChatItemValueItemType } from '@fastgpt/global/core/chat/type';
import { formatToolResponse, initToolCallEdges, initToolNodes } from './utils';
......@@ -18,11 +17,22 @@ import { toolValueTypeList, valueTypeJsonSchemaMap } from '@fastgpt/global/core/
import { runAgentCall } from '../../../../ai/llm/agentCall';
import type { ToolCallChildrenInteractive } from '@fastgpt/global/core/workflow/template/system/interactive/type';
import type { JsonSchemaPropertiesItemType } from '@fastgpt/global/core/app/jsonschema';
import {
SANDBOX_SHELL_TOOL,
SandboxShellToolSchema,
SANDBOX_SYSTEM_PROMPT,
SANDBOX_ICON,
SANDBOX_NAME,
SANDBOX_TOOL_NAME
} from '@fastgpt/global/core/ai/sandbox/constants';
import { SandboxClient } from '../../../../ai/sandbox/controller';
import { getSandboxToolWorkflowResponse } from './constants';
import { getErrText } from '@fastgpt/global/common/error/utils';
type ResponseType = {
requestIds: string[];
error?: string;
toolDispatchFlowResponses: DispatchFlowResponse[];
toolDispatchFlowResponses: ChildResponseItemType[];
toolCallInputTokens: number;
toolCallOutputTokens: number;
completeMessages: ChatCompletionMessageParam[];
......@@ -31,8 +41,17 @@ type ResponseType = {
toolWorkflowInteractiveResponse?: ToolCallChildrenInteractive;
};
export const runToolCall = async (props: DispatchToolModuleProps): Promise<ResponseType> => {
const { messages, toolNodes, toolModel, childrenInteractiveParams, ...workflowProps } = props;
export const runToolCall = async (
props: DispatchToolModuleProps & { useAgentSandbox?: boolean }
): Promise<ResponseType> => {
const {
messages,
toolNodes,
toolModel,
childrenInteractiveParams,
useAgentSandbox,
...workflowProps
} = props;
const {
res,
checkIsStopping,
......@@ -97,16 +116,40 @@ export const runToolCall = async (props: DispatchToolModuleProps): Promise<Respo
}
};
});
// 注入 sandbox_shell 工具和提示词
let finalMessages = messages;
if (useAgentSandbox) {
tools.push(SANDBOX_SHELL_TOOL);
const systemMessage = messages.find((m) => m.role === 'system');
if (systemMessage) {
finalMessages = messages.map((m) =>
m.role === 'system' ? { ...m, content: `${m.content}\n\n${SANDBOX_SYSTEM_PROMPT}` } : m
);
} else {
finalMessages = [{ role: 'system', content: SANDBOX_SYSTEM_PROMPT }, ...messages];
}
}
const getToolInfo = (name: string) => {
if (name === SANDBOX_TOOL_NAME) {
return {
name: SANDBOX_NAME[workflowProps.lang || 'zh-CN'] || SANDBOX_TOOL_NAME,
avatar: SANDBOX_ICON
};
}
const toolNode = toolNodesMap.get(name);
return {
name: toolNode?.name || '',
avatar: toolNode?.avatar || ''
avatar: toolNode?.avatar || '',
rawData: toolNode
};
};
// 工具响应原始值
const toolRunResponses: DispatchFlowResponse[] = [];
const toolRunResponses: ChildResponseItemType[] = [];
const {
inputTokens,
......@@ -120,7 +163,7 @@ export const runToolCall = async (props: DispatchToolModuleProps): Promise<Respo
} = await runAgentCall({
maxRunAgentTimes: 50,
body: {
messages,
messages: finalMessages,
tools,
model: toolModel.model,
max_tokens: maxToken,
......@@ -158,7 +201,7 @@ export const runToolCall = async (props: DispatchToolModuleProps): Promise<Respo
},
onToolCall({ call }) {
if (!isResponseAnswerText) return;
const toolNode = toolNodesMap.get(call.function.name);
const toolNode = getToolInfo(call.function.name);
if (toolNode) {
workflowStreamResponse?.({
id: call.id,
......@@ -169,8 +212,7 @@ export const runToolCall = async (props: DispatchToolModuleProps): Promise<Respo
toolName: toolNode.name,
toolAvatar: toolNode.avatar,
functionName: call.function.name,
params: call.function.arguments ?? '',
response: ''
params: call.function.arguments ?? ''
}
}
});
......@@ -186,38 +228,101 @@ export const runToolCall = async (props: DispatchToolModuleProps): Promise<Respo
id: tool.id,
toolName: '',
toolAvatar: '',
params,
response: ''
params
}
}
});
},
handleToolResponse: async ({ call, messages }) => {
const toolNode = toolNodesMap.get(call.function?.name);
if (!toolNode) {
return {
response: 'Call tool not found',
assistantMessages: [],
usages: [],
interactive: undefined
};
}
const tool = getToolInfo(call.function?.name);
const startTime = Date.now();
// Init tool params and run
const startParams = parseJsonArgs(call.function.arguments);
initToolNodes(runtimeNodes, [toolNode.nodeId], startParams);
initToolCallEdges(runtimeEdges, [toolNode.nodeId]);
const {
response,
flowResponse,
assistantMessages = [],
usages = [],
interactive,
stop
} = await (async () => {
// 拦截 sandbox_shell 调用
if (call.function?.name === SANDBOX_TOOL_NAME) {
try {
const params = SandboxShellToolSchema.parse(parseJsonArgs(call.function.arguments));
const toolRunResponse = await runWorkflow({
...workflowProps,
runtimeNodes,
usageId: undefined,
isToolCall: true
});
const instance = new SandboxClient({
appId: String(workflowProps.runningAppInfo.id),
userId: String(workflowProps.uid),
chatId: workflowProps.chatId
});
// Format tool response
const stringToolResponse = formatToolResponse(toolRunResponse.toolResponses);
const result = await instance.exec(params.command, params.timeout);
const stringToolResponse = JSON.stringify({
stdout: result.stdout,
stderr: result.stderr,
exitCode: result.exitCode
});
const flowResponse = getSandboxToolWorkflowResponse({
name: tool.name,
logo: SANDBOX_ICON,
input: params,
response: stringToolResponse,
durationSeconds: +((Date.now() - startTime) / 1000).toFixed(2)
});
return {
response: stringToolResponse,
flowResponse
};
} catch (error) {
return {
response: `Sandbox execution error: ${getErrText(error)}`
};
}
} else {
const toolNode = tool?.rawData;
if (!toolNode) {
return {
response: 'Call tool not found'
};
}
// Init tool params and run
const startParams = parseJsonArgs(call.function.arguments);
initToolNodes(runtimeNodes, [toolNode.nodeId], startParams);
initToolCallEdges(runtimeEdges, [toolNode.nodeId]);
const toolRunResponse = await runWorkflow({
...workflowProps,
runtimeNodes,
usageId: undefined,
isToolCall: true
});
// Format tool response
const stringToolResponse = formatToolResponse(toolRunResponse.toolResponses);
return {
response: stringToolResponse,
flowResponse: toolRunResponse,
assistantMessages: chats2GPTMessages({
messages: [
{
obj: ChatRoleEnum.AI,
value: toolRunResponse.assistantResponses
}
],
reserveId: false
}),
usages: toolRunResponse.flowUsages,
interactive: toolRunResponse.workflowInteractiveResponse,
stop: toolRunResponse.flowResponses?.some((item) => item.toolStop)
};
}
})();
if (isResponseAnswerText) {
workflowStreamResponse?.({
......@@ -229,30 +334,22 @@ export const runToolCall = async (props: DispatchToolModuleProps): Promise<Respo
toolName: '',
toolAvatar: '',
params: '',
response: sliceStrStartEnd(stringToolResponse, 5000, 5000)
response: sliceStrStartEnd(response, 5000, 5000)
}
}
});
}
toolRunResponses.push(toolRunResponse);
const assistantMessages = chats2GPTMessages({
messages: [
{
obj: ChatRoleEnum.AI,
value: toolRunResponse.assistantResponses
}
],
reserveId: false
});
if (flowResponse) {
toolRunResponses.push(flowResponse);
}
return {
response: stringToolResponse,
response,
assistantMessages,
usages: toolRunResponse.flowUsages,
interactive: toolRunResponse.workflowInteractiveResponse,
stop: toolRunResponse.flowResponses?.some((item) => item.toolStop)
usages,
interactive,
stop
};
},
childrenInteractiveParams,
......
packages/service/core/workflow/dispatch/ai/tool/type.ts
......@@ -27,6 +27,7 @@ export type DispatchToolModuleProps = ModuleDispatchProps<{
[NodeInputKeyEnum.aiChatStopSign]?: string;
[NodeInputKeyEnum.aiChatResponseFormat]?: string;
[NodeInputKeyEnum.aiChatJsonSchema]?: string;
[NodeInputKeyEnum.useAgentSandbox]?: boolean;
}> & {
messages: ChatCompletionMessageParam[];
toolNodes: ToolNodeItemType[];
......@@ -38,3 +39,9 @@ export type ToolNodeItemType = RuntimeNodeItemType & {
toolParams: RuntimeNodeItemType['inputs'];
jsonSchema?: JSONSchemaInputType;
};
export type ChildResponseItemType = {
flowResponses: DispatchFlowResponse['flowResponses'];
runTimes: DispatchFlowResponse['runTimes'];
flowUsages: DispatchFlowResponse['flowUsages'];
};
packages/service/core/workflow/dispatch/constants.ts
......@@ -78,6 +78,6 @@ export const callbackMap: Record<FlowNodeTypeEnum, Function> = {
[FlowNodeTypeEnum.comment]: () => Promise.resolve(),
[FlowNodeTypeEnum.toolSet]: () => Promise.resolve(),
// @deprecated
/** @deprecated */
[FlowNodeTypeEnum.runApp]: dispatchAppRequest
};
packages/service/core/workflow/dispatch/tools/codeSandbox.ts
......@@ -29,13 +29,13 @@ export const dispatchCodeSandbox = async (props: RunCodeType): Promise<RunCodeRe
params: { codeType, code, [NodeInputKeyEnum.addInputParam]: customVariables }
} = props;
if (!process.env.SANDBOX_URL) {
if (!process.env.CODE_SANDBOX_URL) {
return {
error: {
[NodeOutputKeyEnum.error]: 'Can not find SANDBOX_URL in env'
[NodeOutputKeyEnum.error]: 'Can not find CODE_SANDBOX_URL in env'
},
[DispatchNodeResponseKeyEnum.nodeResponse]: {
errorText: 'Can not find SANDBOX_URL in env',
errorText: 'Can not find CODE_SANDBOX_URL in env',
customInputs: customVariables
}
};
......
packages/service/env.ts
......@@ -10,13 +10,16 @@ const LogLevelSchema = z.enum(['trace', 'debug', 'info', 'warning', 'error', 'fa
export const env = createEnv({
server: {
LOG_ENABLE_CONSOLE: BoolSchema.default(true),
LOG_CONSOLE_LEVEL: LogLevelSchema.default('trace'),
AGENT_SANDBOX_PROVIDER: z.enum(['sealosdevbox']).optional(),
AGENT_SANDBOX_SEALOS_BASEURL: z.string().url().optional(),
AGENT_SANDBOX_SEALOS_TOKEN: z.string().optional(),
LOG_ENABLE_CONSOLE: BoolSchema.default(true),
LOG_CONSOLE_LEVEL: LogLevelSchema.default('debug'),
LOG_ENABLE_OTEL: BoolSchema.default(false),
LOG_OTEL_LEVEL: LogLevelSchema.default('info'),
LOG_OTEL_SERVICE_NAME: z.string().default('fastgpt-client'),
LOG_OTEL_URL: z.url().default('http://localhost:4318/v1/logs')
LOG_OTEL_URL: z.string().url().optional()
},
emptyStringAsUndefined: true,
runtimeEnv: process.env,
......
packages/service/package.json
......@@ -3,25 +3,18 @@
"version": "1.0.0",
"type": "module",
"engines": {
"node": ">=20.x",
"pnpm": ">=9.x"
"node": ">=20",
"pnpm": ">=9"
},
"dependencies": {
"@apidevtools/json-schema-ref-parser": "^11.7.2",
"@fastgpt-sdk/sandbox-adapter": "^0.0.18",
"@fastgpt-sdk/storage": "catalog:",
"@fastgpt-sdk/logger": "catalog:",
"@fastgpt/global": "workspace:*",
"@logtape/logtape": "^2",
"@logtape/pretty": "^2",
"@maxmind/geoip2-node": "^6.3.4",
"@modelcontextprotocol/sdk": "catalog:",
"@node-rs/jieba": "2.0.1",
"@opentelemetry/api": "^1.9.0",
"@opentelemetry/api-logs": "^0.203.0",
"@opentelemetry/exporter-logs-otlp-http": "^0.203.0",
"@opentelemetry/otlp-exporter-base": "^0.211.0",
"@opentelemetry/resources": "^2.0.1",
"@opentelemetry/sdk-logs": "^0.203.0",
"@opentelemetry/semantic-conventions": "^1.39.0",
"@opentelemetry/winston-transport": "^0.14.0",
"@t3-oss/env-core": "0.13.10",
"@xmldom/xmldom": "^0.8.10",
"@zilliz/milvus2-sdk-node": "2.4.10",
......@@ -42,7 +35,6 @@
"iconv-lite": "^0.6.3",
"ioredis": "^5.6.0",
"joplin-turndown-plugin-gfm": "^1.0.12",
"@apidevtools/json-schema-ref-parser": "^11.7.2",
"json5": "catalog:",
"jsonpath-plus": "^10.3.0",
"jsonwebtoken": "^9.0.2",
......
packages/service/support/wallet/sub/schema.ts
......@@ -70,6 +70,8 @@ const SubSchema = new Schema({
maxUploadFileSize: Number,
maxUploadFileCount: Number,
enableSandbox: Boolean, // 虚拟机
// stand sub and extra points sub. Plan total points
totalPoints: Number,
// plan surplus points
......
packages/service/thirdProvider/codeSandbox/index.ts
......@@ -14,8 +14,8 @@ export class CodeSandbox {
private readonly client: AxiosInstance;
constructor() {
const baseUrl = process.env.SANDBOX_URL || '';
const token = process.env.SANDBOX_TOKEN || '';
const baseUrl = process.env.CODE_SANDBOX_URL || '';
const token = process.env.CODE_SANDBOX_TOKEN || '';
this.client = axios.create({
baseURL: `${baseUrl.replace(/\/$/, '')}/sandbox`,
......
packages/service/type/env.ts
......@@ -26,7 +26,7 @@ declare global {
MILVUS_ADDRESS: string;
MILVUS_TOKEN: string;
SANDBOX_URL: string;
CODE_SANDBOX_URL: string;
FE_DOMAIN: string;
FILE_DOMAIN: string;
USE_IP_LIMIT?: string;
......
packages/web/components/common/Icon/constants.ts
......@@ -161,6 +161,27 @@ export const iconPaths = {
'core/app/publish/wechat': () => import('./icons/core/app/publish/wechat.svg'),
'core/app/publish/wecom': () => import('./icons/core/app/publish/wecom.svg'),
'core/app/questionGuide': () => import('./icons/core/app/questionGuide.svg'),
'core/app/sandbox/css': () => import('./icons/core/app/sandbox/css.svg'),
'core/app/sandbox/default': () => import('./icons/core/app/sandbox/default.svg'),
'core/app/sandbox/docx': () => import('./icons/core/app/sandbox/docx.svg'),
'core/app/sandbox/file': () => import('./icons/core/app/sandbox/file.svg'),
'core/app/sandbox/go': () => import('./icons/core/app/sandbox/go.svg'),
'core/app/sandbox/html': () => import('./icons/core/app/sandbox/html.svg'),
'core/app/sandbox/image': () => import('./icons/core/app/sandbox/image.svg'),
'core/app/sandbox/java': () => import('./icons/core/app/sandbox/java.svg'),
'core/app/sandbox/js': () => import('./icons/core/app/sandbox/js.svg'),
'core/app/sandbox/md': () => import('./icons/core/app/sandbox/md.svg'),
'core/app/sandbox/pdf': () => import('./icons/core/app/sandbox/pdf.svg'),
'core/app/sandbox/pptx': () => import('./icons/core/app/sandbox/pptx.svg'),
'core/app/sandbox/py': () => import('./icons/core/app/sandbox/py.svg'),
'core/app/sandbox/sandbox': () => import('./icons/core/app/sandbox/sandbox.svg'),
'core/app/sandbox/scss': () => import('./icons/core/app/sandbox/scss.svg'),
'core/app/sandbox/svg': () => import('./icons/core/app/sandbox/svg.svg'),
'core/app/sandbox/txt': () => import('./icons/core/app/sandbox/txt.svg'),
'core/app/sandbox/video': () => import('./icons/core/app/sandbox/video.svg'),
'core/app/sandbox/xlsx': () => import('./icons/core/app/sandbox/xlsx.svg'),
'core/app/sandbox/yml': () => import('./icons/core/app/sandbox/yml.svg'),
'core/app/sandbox/zip': () => import('./icons/core/app/sandbox/zip.svg'),
'core/app/schedulePlan': () => import('./icons/core/app/schedulePlan.svg'),
'core/app/simpleBot': () => import('./icons/core/app/simpleBot.svg'),
'core/app/simpleMode/ai': () => import('./icons/core/app/simpleMode/ai.svg'),
......
packages/web/components/common/Icon/icons/common/clearLight.svg
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packages/web/components/common/Icon/icons/core/app/sandbox/java.svg 0 → 100644
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packages/web/components/common/Icon/icons/core/app/sandbox/js.svg 0 → 100644
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packages/web/components/common/Icon/icons/core/app/sandbox/md.svg 0 → 100644
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