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V4.9.4 feature (#4470)
* Training status (#4424) * dataset data training state (#4311) * dataset data training state * fix * fix ts * fix * fix api format * fix * fix * perf: count training * format * fix: dataset training state (#4417) * fix * add test * fix * fix * fix test * fix test * perf: training count * count * loading status --------- Co-authored-by: heheer <heheer@sealos.io> * doc * website sync feature (#4429) * perf: introduce BullMQ for website sync (#4403) * perf: introduce BullMQ for website sync * feat: new redis module * fix: remove graceful shutdown * perf: improve UI in dataset detail - Updated the "change" icon SVG file. - Modified i18n strings. - Added new i18n string "immediate_sync". - Improved UI in dataset detail page, including button icons and background colors. * refactor: Add chunkSettings to DatasetSchema * perf: website sync ux * env template * fix: clean up website dataset when updating chunk settings (#4420) * perf: check setting updated * perf: worker currency * feat: init script for website sync refactor (#4425) * website feature doc --------- Co-authored-by: a.e. <49438478+I-Info@users.noreply.github.com> * pro migration (#4388) (#4433) * pro migration * reuse customPdfParseType Co-authored-by: gggaaallleee <91131304+gggaaallleee@users.noreply.github.com> * perf: remove loading ui * feat: config chat file expired time * Redis cache (#4436) * perf: add Redis cache for vector counting (#4432) * feat: cache * perf: get cache key --------- Co-authored-by: a.e. <49438478+I-Info@users.noreply.github.com> * perf: mobile voice input (#4437) * update:Mobile voice interaction (#4362) * Add files via upload * Add files via upload * Update ollama.md * Update ollama.md * Add files via upload * Update useSpeech.ts * Update ChatInput.tsx * Update useSpeech.ts * Update ChatInput.tsx * Update useSpeech.ts * Update constants.ts * Add files via upload * Update ChatInput.tsx * Update useSpeech.ts * Update useSpeech.ts * Update useSpeech.ts * Update ChatInput.tsx * Add files via upload * Update common.json * Update VoiceInput.tsx * Update ChatInput.tsx * Update VoiceInput.tsx * Update useSpeech.ts * Update useSpeech.ts * Update common.json * Update common.json * Update common.json * Update VoiceInput.tsx * Update VoiceInput.tsx * Update ChatInput.tsx * Update VoiceInput.tsx * Update ChatInput.tsx * Update VoiceInput.tsx * Update ChatInput.tsx * Update useSpeech.ts * Update common.json * Update chat.json * Update common.json * Update chat.json * Update common.json * Update chat.json * Update VoiceInput.tsx * Update ChatInput.tsx * Update useSpeech.ts * Update VoiceInput.tsx * speech ui * 优化语音输入组件，调整输入框显示逻辑，修复语音输入遮罩层样式，更新画布背景透明度，增强用户交互体验。 (#4435) * perf: mobil voice input --------- Co-authored-by: dreamer6680 <1468683855@qq.com> * Test completion v2 (#4438) * add v2 completions (#4364) * add v2 completions * completion config * config version * fix * frontend * doc * fix * fix: completions v2 api --------- Co-authored-by: heheer <heheer@sealos.io> * package * Test mongo log (#4443) * feat: mongodb-log (#4426) * perf: mongo log * feat: completions stop reasoner * mongo db log --------- Co-authored-by: Finley Ge <32237950+FinleyGe@users.noreply.github.com> * update doc * Update doc * fix external var ui (#4444) * action * fix: ts (#4458) * preview doc action add docs preview permission update preview action udpate action * update doc (#4460) * update preview action * update doc * remove * update * schema * update mq export;perf: redis cache (#4465) * perf: redis cache * update mq export * perf: website sync error tip * add error worker * website sync ui (#4466) * Updated the dynamic display of the voice input pop-up (#4469) * Update VoiceInput.tsx * Update VoiceInput.tsx * Update VoiceInput.tsx * fix: voice input --------- Co-authored-by: heheer <heheer@sealos.io> Co-authored-by: a.e. <49438478+I-Info@users.noreply.github.com> Co-authored-by: gggaaallleee <91131304+gggaaallleee@users.noreply.github.com> Co-authored-by: dreamer6680 <1468683855@qq.com> Co-authored-by: Finley Ge <32237950+FinleyGe@users.noreply.github.com>
This commit is contained in:
Archer
@@ -18,12 +18,14 @@ weight: 852
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{{% alert icon="🤖 " context="success" %}}
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* 该接口的 API Key 需使用`应用特定的 key`，否则会报错。
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<!-- * 对话现在有`v1`和`v2`两个接口，可以按需使用，v2 自 4.9.4 版本新增，v1 接口同时不再维护 -->
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* 有些包调用时，`BaseUrl`需要添加`v1`路径，有些不需要，如果出现404情况，可补充`v1`重试。
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{{% /alert %}}
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## 请求简易应用和工作流
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对话接口兼容`GPT`的接口！如果你的项目使用的是标准的`GPT`官方接口，可以直接通过修改`BaseUrl`和 `Authorization`来访问 FastGpt 应用，不过需要注意下面几个规则：
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`v1`对话接口兼容`GPT`的接口！如果你的项目使用的是标准的`GPT`官方接口，可以直接通过修改`BaseUrl`和 `Authorization`来访问 FastGpt 应用，不过需要注意下面几个规则：
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{{% alert icon="🤖 " context="success" %}}
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* 传入的`model`，`temperature`等参数字段均无效，这些字段由编排决定，不会根据 API 参数改变。
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@@ -32,6 +34,100 @@ weight: 852
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### 请求
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<!-- #### v2
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v1,v2 接口请求参数一致，仅请求地址不一样。
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{{< tabs tabTotal="3" >}}
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{{< tab tabName="基础请求示例" >}}
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{{< markdownify >}}
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```bash
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curl --location --request POST 'http://localhost:3000/api/v2/chat/completions' \
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--header 'Authorization: fastgpt-xxxxxx' \
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--header 'Content-Type: application/json' \
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--data-raw '{
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"chatId": "my_chatId",
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"stream": false,
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"detail": false,
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"responseChatItemId": "my_responseChatItemId",
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"variables": {
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"uid": "asdfadsfasfd2323",
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"name": "张三"
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},
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"messages": [
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{
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"role": "user",
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"content": "你是谁"
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}
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]
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}'
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```
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{{< /markdownify >}}
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{{< /tab >}}
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{{< tab tabName="图片/文件请求示例" >}}
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{{< markdownify >}}
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* 仅`messages`有部分区别，其他参数一致。
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* 目前不支持上传文件，需上传到自己的对象存储中，获取对应的文件链接。
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```bash
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curl --location --request POST 'http://localhost:3000/api/v2/chat/completions' \
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--header 'Authorization: Bearer fastgpt-xxxxxx' \
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--header 'Content-Type: application/json' \
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--data-raw '{
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"chatId": "abcd",
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"stream": false,
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"messages": [
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": "导演是谁"
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},
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{
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"type": "image_url",
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"image_url": {
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"url": "图片链接"
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}
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},
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{
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"type": "file_url",
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"name": "文件名",
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"url": "文档链接，支持 txt md html word pdf ppt csv excel"
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}
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]
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}
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]
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}'
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```
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{{< /markdownify >}}
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{{< /tab >}}
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{{< tab tabName="参数说明" >}}
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{{< markdownify >}}
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{{% alert context="info" %}}
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- headers.Authorization: Bearer {{apikey}}
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- chatId: string | undefined 。
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- 为 `undefined` 时（不传入），不使用 FastGpt 提供的上下文功能，完全通过传入的 messages 构建上下文。
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- 为`非空字符串`时，意味着使用 chatId 进行对话，自动从 FastGpt 数据库取历史记录，并使用 messages 数组最后一个内容作为用户问题，其余 message 会被忽略。请自行确保 chatId 唯一，长度小于250，通常可以是自己系统的对话框ID。
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- messages: 结构与 [GPT接口](https://platform.openai.com/docs/api-reference/chat/object) chat模式一致。
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- responseChatItemId: string | undefined 。如果传入，则会将该值作为本次对话的响应消息的 ID，FastGPT 会自动将该 ID 存入数据库。请确保，在当前`chatId`下，`responseChatItemId`是唯一的。
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- detail: 是否返回中间值（模块状态，响应的完整结果等），`stream模式`下会通过`event`进行区分，`非stream模式`结果保存在`responseData`中。
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- variables: 模块变量，一个对象，会替换模块中，输入框内容里的`{{key}}`
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{{% /alert %}}
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{{< /markdownify >}}
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{{< /tab >}}
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{{< /tabs >}}
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#### v1
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{{< tabs tabTotal="3" >}}
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{{< tab tabName="基础请求示例" >}}
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{{< markdownify >}}
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@@ -65,7 +161,7 @@ curl --location --request POST 'http://localhost:3000/api/v1/chat/completions' \
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{{< markdownify >}}
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* 仅`messages`有部分区别，其他参数一致。
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* 目前不支持上次文件，需上传到自己的对象存储中，获取对应的文件链接。
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* 目前不支持上传文件，需上传到自己的对象存储中，获取对应的文件链接。
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```bash
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curl --location --request POST 'http://localhost:3000/api/v1/chat/completions' \
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@@ -116,14 +212,188 @@ curl --location --request POST 'http://localhost:3000/api/v1/chat/completions' \
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- variables: 模块变量，一个对象，会替换模块中，输入框内容里的`{{key}}`
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{{% /alert %}}
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{{< /markdownify >}}
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{{< /tab >}}
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{{< /tabs >}}
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### 响应
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#### v2
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v2 接口比起 v1，主要变变化在于：会在每个节点运行结束后及时返回 response，而不是等工作流结束后再统一返回。
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{{< tabs tabTotal="5" >}}
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{{< tab tabName="detail=false,stream=false 响应" >}}
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{{< markdownify >}}
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```json
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{
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"id": "",
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"model": "",
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"usage": {
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"prompt_tokens": 1,
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"completion_tokens": 1,
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"total_tokens": 1
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},
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"choices": [
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{
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"message": {
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"role": "assistant",
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"content": "我是一个人工智能助手，旨在回答问题和提供信息。如果你有任何问题或者需要帮助，随时问我！"
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},
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"finish_reason": "stop",
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"index": 0
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}
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]
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}
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```
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{{< /markdownify >}}
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{{< /tab >}}
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{{< tab tabName="detail=false,stream=true 响应" >}}
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{{< markdownify >}}
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```bash
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data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"你好"},"index":0,"finish_reason":null}]}
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data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"！"},"index":0,"finish_reason":null}]}
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data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"今天"},"index":0,"finish_reason":null}]}
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data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"过得怎么样？"},"index":0,"finish_reason":null}]}
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data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":null},"index":0,"finish_reason":"stop"}]}
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data: [DONE]
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```
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{{< /markdownify >}}
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{{< /tab >}}
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{{< tab tabName="detail=true,stream=false 响应" >}}
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{{< markdownify >}}
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```json
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{
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"responseData": [
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{
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"id": "iSol79OFrBH1I9kC",
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"nodeId": "448745",
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"moduleName": "common:core.module.template.work_start",
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"moduleType": "workflowStart",
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"runningTime": 0
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},
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{
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"id": "t1T94WCy6Su3BK4V",
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"nodeId": "fjLpE3XPegmoGtbU",
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"moduleName": "AI 对话",
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"moduleType": "chatNode",
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"runningTime": 1.46,
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"totalPoints": 0,
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"model": "GPT-4o-mini",
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"tokens": 64,
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"inputTokens": 10,
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"outputTokens": 54,
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"query": "你是谁",
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"reasoningText": "",
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"historyPreview": [
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{
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"obj": "Human",
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"value": "你是谁"
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},
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{
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"obj": "AI",
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"value": "我是一个人工智能助手，旨在帮助回答问题和提供信息。如果你有任何问题或需要帮助，请告诉我！"
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}
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],
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"contextTotalLen": 2
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}
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],
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"newVariables": {
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|
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},
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"id": "",
|
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"model": "",
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"usage": {
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"prompt_tokens": 1,
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"completion_tokens": 1,
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"total_tokens": 1
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},
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"choices": [
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{
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"message": {
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"role": "assistant",
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"content": "我是一个人工智能助手，旨在帮助回答问题和提供信息。如果你有任何问题或需要帮助，请告诉我！"
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},
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"finish_reason": "stop",
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"index": 0
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}
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]
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}
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```
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{{< /markdownify >}}
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||||
{{< /tab >}}
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||||
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{{< tab tabName="detail=true,stream=true 响应" >}}
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{{< markdownify >}}
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```bash
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event: flowNodeResponse
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data: {"id":"iYv2uA9rCWAtulWo","nodeId":"workflowStartNodeId","moduleName":"流程开始","moduleType":"workflowStart","runningTime":0}
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event: flowNodeStatus
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data: {"status":"running","name":"AI 对话"}
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event: answer
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data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"你好"},"index":0,"finish_reason":null}]}
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event: answer
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data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"！"},"index":0,"finish_reason":null}]}
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event: answer
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data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"今天"},"index":0,"finish_reason":null}]}
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event: answer
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data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":"过得怎么样？"},"index":0,"finish_reason":null}]}
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event: flowNodeResponse
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data: {"id":"pVzLBF7M3Ol4n7s6","nodeId":"ixe20AHN3jy74pKf","moduleName":"AI 对话","moduleType":"chatNode","runningTime":1.48,"totalPoints":0.0042,"model":"Qwen-plus","tokens":28,"inputTokens":8,"outputTokens":20,"query":"你好","reasoningText":"","historyPreview":[{"obj":"Human","value":"你好"},{"obj":"AI","value":"你好！今天过得怎么样？"}],"contextTotalLen":2}
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|
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event: answer
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data: {"id":"","object":"","created":0,"model":"","choices":[{"delta":{"role":"assistant","content":null},"index":0,"finish_reason":"stop"}]}
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event: answer
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data: [DONE]
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```
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{{< /markdownify >}}
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||||
{{< /tab >}}
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{{< tab tabName="event值" >}}
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{{< markdownify >}}
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event取值：
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- answer: 返回给客户端的文本（最终会算作回答）
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- fastAnswer: 指定回复返回给客户端的文本（最终会算作回答）
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- toolCall: 执行工具
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- toolParams: 工具参数
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- toolResponse: 工具返回
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- flowNodeStatus: 运行到的节点状态
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- flowNodeResponse: 单个节点详细响应
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- updateVariables: 更新变量
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- error: 报错
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|
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{{< /markdownify >}}
|
||||
{{< /tab >}}
|
||||
{{< /tabs >}}
|
||||
|
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#### v1 -->
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|
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{{< tabs tabTotal="5" >}}
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{{< tab tabName="detail=false,stream=false 响应" >}}
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||||
{{< markdownify >}}
|
||||
@@ -475,6 +745,8 @@ curl --location --request POST 'https://api.fastgpt.in/api/v1/chat/completions'
|
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|
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### 请求示例
|
||||
|
||||
#### v1
|
||||
|
||||
```bash
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curl --location --request POST 'http://localhost:3000/api/v1/chat/completions' \
|
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--header 'Authorization: Bearer test-xxxxx' \
|
||||
@@ -488,8 +760,25 @@ curl --location --request POST 'http://localhost:3000/api/v1/chat/completions' \
|
||||
}'
|
||||
```
|
||||
|
||||
#### v2
|
||||
|
||||
```bash
|
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curl --location --request POST 'http://localhost:3000/api/v2/chat/completions' \
|
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--header 'Authorization: Bearer test-xxxxx' \
|
||||
--header 'Content-Type: application/json' \
|
||||
--data-raw '{
|
||||
"stream": false,
|
||||
"chatId": "test",
|
||||
"variables": {
|
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"query":"你好"
|
||||
}
|
||||
}'
|
||||
```
|
||||
|
||||
### 响应示例
|
||||
|
||||
#### v1
|
||||
|
||||
{{< tabs tabTotal="3" >}}
|
||||
|
||||
{{< tab tabName="detail=true,stream=false 响应" >}}
|
||||
@@ -649,6 +938,149 @@ event取值：
|
||||
{{< /tabs >}}
|
||||
|
||||
|
||||
#### v2
|
||||
|
||||
{{< tabs tabTotal="3" >}}
|
||||
|
||||
{{< tab tabName="detail=true,stream=false 响应" >}}
|
||||
{{< markdownify >}}
|
||||
|
||||
* 插件的输出可以通过查找`responseData`中, `moduleType=pluginOutput`的元素，其`pluginOutput`是插件的输出。
|
||||
* 流输出，仍可以通过`choices`进行获取。
|
||||
|
||||
```json
|
||||
{
|
||||
"responseData": [
|
||||
{
|
||||
"id": "bsH1ZdbYkz9iJwYa",
|
||||
"nodeId": "pluginInput",
|
||||
"moduleName": "workflow:template.plugin_start",
|
||||
"moduleType": "pluginInput",
|
||||
"runningTime": 0
|
||||
},
|
||||
{
|
||||
"id": "zDgfqSPhbYZFHVIn",
|
||||
"nodeId": "h4Gr4lJtFVQ6qI4c",
|
||||
"moduleName": "AI 对话",
|
||||
"moduleType": "chatNode",
|
||||
"runningTime": 1.44,
|
||||
"totalPoints": 0,
|
||||
"model": "GPT-4o-mini",
|
||||
"tokens": 34,
|
||||
"inputTokens": 8,
|
||||
"outputTokens": 26,
|
||||
"query": "你好",
|
||||
"reasoningText": "",
|
||||
"historyPreview": [
|
||||
{
|
||||
"obj": "Human",
|
||||
"value": "你好"
|
||||
},
|
||||
{
|
||||
"obj": "AI",
|
||||
"value": "你好！有什么我可以帮助你的吗？"
|
||||
}
|
||||
],
|
||||
"contextTotalLen": 2
|
||||
},
|
||||
{
|
||||
"id": "uLLwKKRZvufXzgF4",
|
||||
"nodeId": "pluginOutput",
|
||||
"moduleName": "common:core.module.template.self_output",
|
||||
"moduleType": "pluginOutput",
|
||||
"runningTime": 0,
|
||||
"totalPoints": 0,
|
||||
"pluginOutput": {
|
||||
"result": "你好！有什么我可以帮助你的吗？"
|
||||
}
|
||||
}
|
||||
],
|
||||
"newVariables": {
|
||||
|
||||
},
|
||||
"id": "test",
|
||||
"model": "",
|
||||
"usage": {
|
||||
"prompt_tokens": 1,
|
||||
"completion_tokens": 1,
|
||||
"total_tokens": 1
|
||||
},
|
||||
"choices": [
|
||||
{
|
||||
"message": {
|
||||
"role": "assistant",
|
||||
"content": "你好！有什么我可以帮助你的吗？"
|
||||
},
|
||||
"finish_reason": "stop",
|
||||
"index": 0
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
{{< /markdownify >}}
|
||||
{{< /tab >}}
|
||||
|
||||
|
||||
{{< tab tabName="detail=true,stream=true 响应" >}}
|
||||
{{< markdownify >}}
|
||||
|
||||
* 插件的输出可以通过获取`event=flowResponses`中的字符串，并将其反序列化后得到一个数组。同样的，查找 `moduleType=pluginOutput`的元素，其`pluginOutput`是插件的输出。
|
||||
* 流输出，仍和对话接口一样获取。
|
||||
|
||||
```bash
|
||||
data: {"event":"flowNodeResponse","data":"{\"id\":\"q8ablUOqHGgqLIRM\",\"nodeId\":\"pluginInput\",\"moduleName\":\"workflow:template.plugin_start\",\"moduleType\":\"pluginInput\",\"runningTime\":0}"}
|
||||
|
||||
data: {"event":"flowNodeStatus","data":"{\"status\":\"running\",\"name\":\"AI 对话\"}"}
|
||||
|
||||
data: {"event":"answer","data":"{\"id\":\"\",\"object\":\"\",\"created\":0,\"model\":\"\",\"choices\":[{\"delta\":{\"role\":\"assistant\",\"content\":\"你好\"},\"index\":0,\"finish_reason\":null}]}"}
|
||||
|
||||
data: {"event":"answer","data":"{\"id\":\"\",\"object\":\"\",\"created\":0,\"model\":\"\",\"choices\":[{\"delta\":{\"role\":\"assistant\",\"content\":\"！\"},\"index\":0,\"finish_reason\":null}]}"}
|
||||
|
||||
data: {"event":"answer","data":"{\"id\":\"\",\"object\":\"\",\"created\":0,\"model\":\"\",\"choices\":[{\"delta\":{\"role\":\"assistant\",\"content\":\"有什么\"},\"index\":0,\"finish_reason\":null}]}"}
|
||||
|
||||
data: {"event":"answer","data":"{\"id\":\"\",\"object\":\"\",\"created\":0,\"model\":\"\",\"choices\":[{\"delta\":{\"role\":\"assistant\",\"content\":\"我\"},\"index\":0,\"finish_reason\":null}]}"}
|
||||
|
||||
data: {"event":"answer","data":"{\"id\":\"\",\"object\":\"\",\"created\":0,\"model\":\"\",\"choices\":[{\"delta\":{\"role\":\"assistant\",\"content\":\"可以\"},\"index\":0,\"finish_reason\":null}]}"}
|
||||
|
||||
data: {"event":"answer","data":"{\"id\":\"\",\"object\":\"\",\"created\":0,\"model\":\"\",\"choices\":[{\"delta\":{\"role\":\"assistant\",\"content\":\"帮助\"},\"index\":0,\"finish_reason\":null}]}"}
|
||||
|
||||
data: {"event":"answer","data":"{\"id\":\"\",\"object\":\"\",\"created\":0,\"model\":\"\",\"choices\":[{\"delta\":{\"role\":\"assistant\",\"content\":\"你\"},\"index\":0,\"finish_reason\":null}]}"}
|
||||
|
||||
data: {"event":"answer","data":"{\"id\":\"\",\"object\":\"\",\"created\":0,\"model\":\"\",\"choices\":[{\"delta\":{\"role\":\"assistant\",\"content\":\"的吗\"},\"index\":0,\"finish_reason\":null}]}"}
|
||||
|
||||
data: {"event":"answer","data":"{\"id\":\"\",\"object\":\"\",\"created\":0,\"model\":\"\",\"choices\":[{\"delta\":{\"role\":\"assistant\",\"content\":\"？\"},\"index\":0,\"finish_reason\":null}]}"}
|
||||
|
||||
data: {"event":"flowNodeResponse","data":"{\"id\":\"rqlXLUap8QeiN7Kf\",\"nodeId\":\"h4Gr4lJtFVQ6qI4c\",\"moduleName\":\"AI 对话\",\"moduleType\":\"chatNode\",\"runningTime\":1.79,\"totalPoints\":0,\"model\":\"GPT-4o-mini\",\"tokens\":137,\"inputTokens\":111,\"outputTokens\":26,\"query\":\"你好\",\"reasoningText\":\"\",\"historyPreview\":[{\"obj\":\"Human\",\"value\":\"[{\\\"renderTypeList\\\":[\\\"reference\\\"],\\\"selectedTypeInde\\n\\n...[hide 174 chars]...\\n\\ncanSelectImg\\\":true,\\\"required\\\":false,\\\"value\\\":\\\"你好\\\"}]\"},{\"obj\":\"AI\",\"value\":\"你好！有什么我可以帮助你的吗？\"},{\"obj\":\"Human\",\"value\":\"你好\"},{\"obj\":\"AI\",\"value\":\"你好！有什么我可以帮助你的吗？\"}],\"contextTotalLen\":4}"}
|
||||
|
||||
data: {"event":"flowNodeResponse","data":"{\"id\":\"lHCpHI0MrM00HQlX\",\"nodeId\":\"pluginOutput\",\"moduleName\":\"common:core.module.template.self_output\",\"moduleType\":\"pluginOutput\",\"runningTime\":0,\"totalPoints\":0,\"pluginOutput\":{\"result\":\"你好！有什么我可以帮助你的吗？\"}}"}
|
||||
|
||||
data: {"event":"answer","data":"{\"id\":\"\",\"object\":\"\",\"created\":0,\"model\":\"\",\"choices\":[{\"delta\":{\"role\":\"assistant\",\"content\":null},\"index\":0,\"finish_reason\":\"stop\"}]}"}
|
||||
|
||||
data: {"event":"answer","data":"[DONE]"}
|
||||
```
|
||||
|
||||
{{< /markdownify >}}
|
||||
{{< /tab >}}
|
||||
|
||||
{{< tab tabName="输出获取" >}}
|
||||
{{< markdownify >}}
|
||||
|
||||
event取值：
|
||||
|
||||
- answer: 返回给客户端的文本（最终会算作回答）
|
||||
- fastAnswer: 指定回复返回给客户端的文本（最终会算作回答）
|
||||
- toolCall: 执行工具
|
||||
- toolParams: 工具参数
|
||||
- toolResponse: 工具返回
|
||||
- flowNodeStatus: 运行到的节点状态
|
||||
- flowNodeResponse: 单个节点详细响应
|
||||
- updateVariables: 更新变量
|
||||
- error: 报错
|
||||
|
||||
{{< /markdownify >}}
|
||||
{{< /tab >}}
|
||||
{{< /tabs >}}
|
||||
|
||||
# 对话 CRUD
|
||||
|
||||
|
||||
@@ -7,10 +7,53 @@ toc: true
|
||||
weight: 796
|
||||
---
|
||||
|
||||
## 升级指南
|
||||
|
||||
### 1. 做好数据备份
|
||||
|
||||
### 1. 安装 Redis
|
||||
|
||||
* docker 部署的用户，参考最新的 `docker-compose.yml` 文件增加 Redis 配置。增加一个 redis 容器，并配置`fastgpt`,`fastgpt-pro`的环境变量，增加 `REDIS_URL` 环境变量。
|
||||
* Sealos 部署的用户，在数据库里新建一个`redis`数据库，并复制`内网地址的 connection` 作为 `redis` 的链接串。然后配置`fastgpt`,`fastgpt-pro`的环境变量，增加 `REDIS_URL` 环境变量。
|
||||
|
||||
| | | |
|
||||
| --- | --- | --- |
|
||||
|  |  |  |
|
||||
|
||||
### 2. 更新镜像 tag
|
||||
|
||||
|
||||
### 3. 执行升级脚本
|
||||
|
||||
该脚本仅需商业版用户执行。
|
||||
|
||||
从任意终端，发起 1 个 HTTP 请求。其中 {{rootkey}} 替换成环境变量里的 `rootkey`；{{host}} 替换成**FastGPT 域名**。
|
||||
|
||||
```bash
|
||||
curl --location --request POST 'https://{{host}}/api/admin/initv494' \
|
||||
--header 'rootkey: {{rootkey}}' \
|
||||
--header 'Content-Type: application/json'
|
||||
```
|
||||
|
||||
**脚本功能**
|
||||
|
||||
1. 更新站点同步定时器
|
||||
|
||||
## 🚀 新增内容
|
||||
|
||||
1. SMTP 发送邮件插件
|
||||
1. 集合数据训练状态展示
|
||||
2. SMTP 发送邮件插件
|
||||
3. BullMQ 消息队列。
|
||||
4. 利用 redis 进行部分数据缓存。
|
||||
5. 站点同步支持配置训练参数。
|
||||
6. AI 对话/工具调用，增加返回模型 finish_reason 字段。
|
||||
|
||||
## ⚙️ 优化
|
||||
|
||||
1. Admin 模板渲染调整。
|
||||
2. 支持环境变量配置对话文件过期时间。
|
||||
3. MongoDB log 库可独立部署。
|
||||
|
||||
## 🐛 修复
|
||||
|
||||
1. 搜索应用/知识库时，无法点击目录进入下一层。
|
||||
Reference in New Issue
Block a user