接口 /v1/embeddings 仅支持string，不支持数组

[TimchaStudio]

let chunks: FileItemChunk[] = []

switch (fileExtension) {
  case "csv":
    chunks = await processCSV(blob)
    break
  case "json":
    chunks = await processJSON(blob)
    break
  case "md":
    chunks = await processMarkdown(blob)
    break
  case "pdf":
    chunks = await processPdf(blob)
    break
  case "txt":
    chunks = await processTxt(blob)
    break
  default:
    return new NextResponse("Unsupported file type", {
      status: 400
    })
}

let embeddings: any = []

const openai = new OpenAI({
  apiKey: profile.openai_api_key || "",
  organization: profile.openai_organization_id,
  baseURL: "https://one-api.com/v1"
})

const response = await openai.embeddings.create({
  model: "text-embedding-3-small",
  input: chunks.map(chunk => chunk.content)
})

其中input: chunks.map(chunk => chunk.content) ，chunk 是文件处理后字符串数组。 baseURL 为官方接口 https://api.openai.com/v1 时文件能成功上传并响应 baseURL 为one-api接口https://one-api.com/v1 时，文件上传返回以下错误

Failed to upload. JSON object requested, multiple (or no) rows returned

似乎接口只支持字符串，不支持数组。

https://platform.openai.com/docs/api-reference/embeddings/create

[samiliver]

我也遇到类似问题，智谱AI的向量库 访问报错

`[INFO] 2024/04/09 - 12:06:33 | 2024040912063389521557768025579 | user 1 has enough quota 499999999798759, trusted and no need to pre-consume [ERR] 2024/04/09 - 12:06:33 | 2024040912063389521557768025579 | panic detected: interface conversion: interface {} is []interface {}, not string [ERR] 2024/04/09 - 12:06:33 | 2024040912063389521557768025579 | stacktrace from panic: goroutine 100 [running]: runtime/debug.Stack() /usr/local/go/src/runtime/debug/stack.go:24 +0x5e github.com/songquanpeng/one-api/router.SetRelayRouter.RelayPanicRecover.func2.1() /build/middleware/recover.go:18 +0xc5 panic({0xf6aca0?, 0xc0003f33e0?}) /usr/local/go/src/runtime/panic.go:770 +0x132 github.com/songquanpeng/one-api/relay/adaptor/zhipu.ConvertEmbeddingRequest(...) /build/relay/adaptor/zhipu/adaptor.go:135 github.com/songquanpeng/one-api/relay/adaptor/zhipu.(*Adaptor).ConvertRequest(0x34d9e18?, 0xc0005102a0?, 0xc000718c60?, 0x7?) /build/relay/adaptor/zhipu/adaptor.go:65 +0x35d github.com/songquanpeng/one-api/relay/controller.RelayTextHelper(0xc0007c6000) /build/relay/controller/text.go:71 +0x5e4 github.com/songquanpeng/one-api/controller.relayHelper(0xc0003e6be5?, 0x108fa98?) /build/controller/relay.go:36 +0x52 github.com/songquanpeng/one-api/controller.Relay(0xc0007c6000) /build/controller/relay.go:49 +0x145 github.com/gin-gonic/gin.(*Context).Next(0xc0007c6000) /go/pkg/mod/github.com/gin-gonic/[email protected]/context.go:174 +0x2b github.com/songquanpeng/one-api/router.SetRelayRouter.Distribute.func4(0xc0007c6000) /build/middleware/distributor.go:56 +0x194 github.com/gin-gonic/gin.(*Context).Next(0xc0007c6000) /go/pkg/mod/github.com/gin-gonic/[email protected]/context.go:174 +0x2b github.com/songquanpeng/one-api/router.SetRelayRouter.TokenAuth.func3(0xc0007c6000) /build/middleware/auth.go:142 +0x492 github.com/gin-gonic/gin.(*Context).Next(0xc0007c6000) /go/pkg/mod/github.com/gin-gonic/[email protected]/context.go:174 +0x2b github.com/songquanpeng/one-api/router.SetRelayRouter.RelayPanicRecover.func2(0xc0007c6098?) /build/middleware/recover.go:31 +0x45 github.com/gin-gonic/gin.(*Context).Next(0xc0007c6000) /go/pkg/mod/github.com/gin-gonic/[email protected]/context.go:174 +0x2b main.main.Sessions.func3(0xc0007c6000) /go/pkg/mod/github.com/gin-contrib/[email protected]/sessions.go:54 +0x169 github.com/gin-gonic/gin.(*Context).Next(...) /go/pkg/mod/github.com/gin-gonic/[email protected]/context.go:174 github.com/gin-gonic/gin.LoggerWithConfig.func1(0xc0007c6000) /go/pkg/mod/github.com/gin-gonic/[email protected]/logger.go:240 +0xdd github.com/gin-gonic/gin.(*Context).Next(0xc0007c6000) /go/pkg/mod/github.com/gin-gonic/[email protected]/context.go:174 +0x2b main.main.RequestId.func2(0xc0007c6000) /build/middleware/request-id.go:17 +0x106 github.com/gin-gonic/gin.(*Context).Next(...) /go/pkg/mod/github.com/gin-gonic/[email protected]/context.go:174 github.com/gin-gonic/gin.CustomRecoveryWithWriter.func1(0xc0007c6000) /go/pkg/mod/github.com/gin-gonic/[email protected]/recovery.go:102 +0x7a github.com/gin-gonic/gin.(*Context).Next(...) /go/pkg/mod/github.com/gin-gonic/[email protected]/context.go:174 github.com/gin-gonic/gin.(*Engine).handleHTTPRequest(0xc0001541a0, 0xc0007c6000) /go/pkg/mod/github.com/gin-gonic/[email protected]/gin.go:620 +0x66e github.com/gin-gonic/gin.(*Engine).ServeHTTP(0xc0001541a0, {0x34d7d98, 0xc0001c8540}, 0xc0001467e0) /go/pkg/mod/github.com/gin-gonic/[email protected]/gin.go:576 +0x1b2 net/http.serverHandler.ServeHTTP({0x34d4e00?}, {0x34d7d98?, 0xc0001c8540?}, 0x6?) /usr/local/go/src/net/http/server.go:3137 +0x8e net/http.(*conn).serve(0xc000412b40, {0x34d9e18, 0xc00041cb40}) /usr/local/go/src/net/http/server.go:2039 +0x5e8 created by net/http.(*Server).Serve in goroutine 1 /usr/local/go/src/net/http/server.go:3285 +0x4b4

[ERR] 2024/04/09 - 12:06:33 | 2024040912063389521557768025579 | request: POST /v1/embeddings [ERR] 2024/04/09 - 12:06:33 | 2024040912063389521557768025579 | request body: { "model": "embedding-2", "input": [ "## 一、zookeeper概要、背景及作用\n\n---\n### zookeeper产生背景：\n项目从单体到分布式转变之后，将会产生多个节点之间协同的问题。如：\n1. 每天的定时任务由谁哪个节点来执行？\n2. RPC调用时的服务发现?\n3. 如何保证并发请求的幂等\n4. ....\n\n这些问题可以统一归纳为多节点协调问题，如果靠节点自身进行协调这是非常不可靠的，性能上也不可取。必须由一个独立的服务做协调工作，它必须可靠，而且保证性能。\n\n### zookeeper概 要：\nZooKeeper是用于分布式应用程序的协调服务。它公开了一组简单的API，分布式应用程序可以基于这些API用于同步，节点状态、配置等信息、服务注册等信息。其由JAVA编写，支持JAVA 和C两种语言的客户端。\n\n\n### znode 节点\nzookeeper 中数据基本单元叫节点，节点之下可包含子节点，最后以树级方式程现。每个节点拥有唯一的路径path。客户端基于PATH上传节点数据，zookeeper 收到后会实时通知对该路径进行监听的客户端。" ] } [GIN] 2024/04/09 - 12:06:33 | 2024040912063389521557768025579 | 500 | 4.678072ms | 192.168.32.6 | POST /v1/embeddings`

[songquanpeng]

这个会处理

[yorke669]

这个问题解决了嘛？我好像同样遇到这个问题 https://github.com/labring/FastGPT/issues/1198#issuecomment-2051842955

[chawaa]

@yorke669 我也遇到同样的问题。

[RexWzh]

@songquanpeng 应该不是 OneAPI 的问题。和渠道有关，比如我用 ChatAnywhere 是正常的，但智谱只能字符串，不能字符列表：

Ref 智谱文档: https://open.bigmodel.cn/dev/api#text_embedding

[wuyang630]

@songquanpeng 应该不是 OneAPI 的问题。和渠道有关，比如我用 ChatAnywhere 是正常的，但智谱只能字符串，不能字符列表：

Ref 智谱文档: https://open.bigmodel.cn/dev/api#text_embedding

输入的日志如下：

[DEBUG] 2024/04/24 - 14:28:53 | 2024042414285385214797631405077 | request body: {"input": [[2028, 374, 264, 1296, 4733]], "model": "text-embedding-3-large", "encoding_format": "base64"}

解析代码

func (r GeneralOpenAIRequest) ParseInput() []string {
	if r.Input == nil {
		return nil
	}
	var input []string
	switch r.Input.(type) {
	case string:
		input = []string{r.Input.(string)}
	case []any:
		input = make([]string, 0, len(r.Input.([]any)))
		for _, item := range r.Input.([]any) {
			if str, ok := item.(string); ok {
				input = append(input, str)
			}
		}
	}
	return input