✨ feat: support Ollama (#168)
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README.en.md
51
README.en.md
@ -68,31 +68,32 @@ Please refer to the [documentation](https://github.com/MartialBE/one-api/wiki).
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## Current Supported Providers
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| Provider | Chat | Embeddings | Audio | Images | Other |
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| --------------------------------------------------------------------- | ------------------------ | ---------- | ------ | ----------- | ---------------------------------------------------------------- |
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| [OpenAI](https://platform.openai.com/docs/api-reference/introduction) | ✅ | ✅ | ✅ | ✅ | - |
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| [Azure OpenAI](https://oai.azure.com/) | ✅ | ✅ | ✅ | ✅ | - |
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| [Azure Speech](https://portal.azure.com/) | - | - | ⚠️ tts | - | - |
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| [Anthropic](https://www.anthropic.com/) | ✅ | - | - | - | - |
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| [Gemini](https://aistudio.google.com/) | ✅ | - | - | - | - |
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| [百度文心](https://console.bce.baidu.com/qianfan/overview) | ✅ | ✅ | - | - | - |
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| [通义千问](https://dashscope.console.aliyun.com/overview) | ✅ | ✅ | - | - | - |
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| [讯飞星火](https://console.xfyun.cn/) | ✅ | - | - | - | - |
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| [智谱](https://open.bigmodel.cn/overview) | ✅ | ✅ | - | ⚠️ image | - |
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| [腾讯混元](https://cloud.tencent.com/product/hunyuan) | ✅ | - | - | - | - |
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| [百川](https://platform.baichuan-ai.com/console/apikey) | ✅ | ✅ | - | - | - |
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| [MiniMax](https://www.minimaxi.com/user-center/basic-information) | ✅ | ✅ | - | - | - |
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| [Deepseek](https://platform.deepseek.com/usage) | ✅ | - | - | - | - |
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| [Moonshot](https://moonshot.ai/) | ✅ | - | - | - | - |
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| [Mistral](https://mistral.ai/) | ✅ | ✅ | - | - | - |
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| [Groq](https://console.groq.com/keys) | ✅ | - | - | - | - |
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| [Amazon Bedrock](https://console.aws.amazon.com/bedrock/home) | ⚠️ Only support Anthropic models | - | - | - | - |
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| [零一万物](https://platform.lingyiwanwu.com/details) | ✅ | - | - | - | - |
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| [Cloudflare AI](https://ai.cloudflare.com/) | ✅ | - | ⚠️ stt | ⚠️ image | - |
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| [Midjourney](https://www.midjourney.com/) | - | - | - | - | [midjourney-proxy](https://github.com/novicezk/midjourney-proxy) |
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| [Cohere](https://cohere.com/) | ✅ | - | - | - | - |
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| [Stability AI](https://platform.stability.ai/account/credits) | - | - | - | ⚠️ image | - |
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| [Coze](https://www.coze.com/open/docs/chat?_lang=zh) | ✅ | - | - | - | - |
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| Provider | Chat | Embeddings | Audio | Images | Other |
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| --------------------------------------------------------------------- | -------------------------------- | ---------- | ------ | -------- | ---------------------------------------------------------------- |
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| [OpenAI](https://platform.openai.com/docs/api-reference/introduction) | ✅ | ✅ | ✅ | ✅ | - |
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| [Azure OpenAI](https://oai.azure.com/) | ✅ | ✅ | ✅ | ✅ | - |
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| [Azure Speech](https://portal.azure.com/) | - | - | ⚠️ tts | - | - |
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| [Anthropic](https://www.anthropic.com/) | ✅ | - | - | - | - |
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| [Gemini](https://aistudio.google.com/) | ✅ | - | - | - | - |
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| [百度文心](https://console.bce.baidu.com/qianfan/overview) | ✅ | ✅ | - | - | - |
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| [通义千问](https://dashscope.console.aliyun.com/overview) | ✅ | ✅ | - | - | - |
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| [讯飞星火](https://console.xfyun.cn/) | ✅ | - | - | - | - |
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| [智谱](https://open.bigmodel.cn/overview) | ✅ | ✅ | - | ⚠️ image | - |
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| [腾讯混元](https://cloud.tencent.com/product/hunyuan) | ✅ | - | - | - | - |
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| [百川](https://platform.baichuan-ai.com/console/apikey) | ✅ | ✅ | - | - | - |
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| [MiniMax](https://www.minimaxi.com/user-center/basic-information) | ✅ | ✅ | - | - | - |
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| [Deepseek](https://platform.deepseek.com/usage) | ✅ | - | - | - | - |
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| [Moonshot](https://moonshot.ai/) | ✅ | - | - | - | - |
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| [Mistral](https://mistral.ai/) | ✅ | ✅ | - | - | - |
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| [Groq](https://console.groq.com/keys) | ✅ | - | - | - | - |
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| [Amazon Bedrock](https://console.aws.amazon.com/bedrock/home) | ⚠️ Only support Anthropic models | - | - | - | - |
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| [零一万物](https://platform.lingyiwanwu.com/details) | ✅ | - | - | - | - |
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| [Cloudflare AI](https://ai.cloudflare.com/) | ✅ | - | ⚠️ stt | ⚠️ image | - |
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| [Midjourney](https://www.midjourney.com/) | - | - | - | - | [midjourney-proxy](https://github.com/novicezk/midjourney-proxy) |
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| [Cohere](https://cohere.com/) | ✅ | - | - | - | - |
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| [Stability AI](https://platform.stability.ai/account/credits) | - | - | - | ⚠️ image | - |
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| [Coze](https://www.coze.com/open/docs/chat?_lang=zh) | ✅ | - | - | - | - |
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| [Ollama](https://github.com/ollama/ollama) | ✅ | ✅ | - | - | - |
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## Acknowledgements
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@ -93,6 +93,7 @@ _本项目是基于[one-api](https://github.com/songquanpeng/one-api)二次开
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| [Cohere](https://cohere.com/) | ✅ | - | - | - | - |
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| [Stability AI](https://platform.stability.ai/account/credits) | - | - | - | ⚠️ 图片生成 | - |
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| [Coze](https://www.coze.com/open/docs/chat?_lang=zh) | ✅ | - | - | - | - |
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| [Ollama](https://github.com/ollama/ollama) | ✅ | ✅ | - | - | - |
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## 感谢
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@ -176,6 +176,7 @@ const (
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ChannelTypeCohere = 36
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ChannelTypeStabilityAI = 37
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ChannelTypeCoze = 38
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ChannelTypeOllama = 39
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)
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var ChannelBaseURLs = []string{
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@ -218,6 +219,7 @@ var ChannelBaseURLs = []string{
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"https://api.cohere.ai/v1", //36
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"https://api.stability.ai/v2beta", //37
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"https://api.coze.com/open_api", //38
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"", //39
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}
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const (
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@ -1124,5 +1124,9 @@
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"位置/区域": "Location/Region",
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"请输入你 Speech Studio 的位置/区域,例如:eastasia": "Please enter the location/region of your Speech Studio, for example: eastasia",
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"必须指定渠道": "Channel must be specified",
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"中继": "Relay"
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"中继": "Relay",
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"请输入你部署的Ollama地址,例如:http://127.0.0.1:11434,如果你使用了cloudflare Zero Trust,可以在下方插件填入授权信息": "Please enter the Ollama address you deployed, for example: http://127.0.0.1:11434. If you are using Cloudflare Zero Trust, you can fill in the authorization information in the plugin below.",
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"请随意填写": "Please fill in at will",
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"Header 配置": "Header Configuration",
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"本配置主要是用于使用cloudflare Zero Trust将端口暴露到公网时,需要配置的header": "This configuration is mainly used for the header that needs to be configured when using Cloudflare Zero Trust to expose the port to the public network"
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}
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79
providers/ollama/base.go
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79
providers/ollama/base.go
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@ -0,0 +1,79 @@
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package ollama
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import (
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"encoding/json"
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"net/http"
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"one-api/common/requester"
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"one-api/model"
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"one-api/types"
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"one-api/providers/base"
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)
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type OllamaProviderFactory struct{}
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type OllamaProvider struct {
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base.BaseProvider
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}
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// 创建 OllamaProvider
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func (f OllamaProviderFactory) Create(channel *model.Channel) base.ProviderInterface {
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config := getOllamaConfig()
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return &OllamaProvider{
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BaseProvider: base.BaseProvider{
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Config: config,
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Channel: channel,
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Requester: requester.NewHTTPRequester(*channel.Proxy, RequestErrorHandle),
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},
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}
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}
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func getOllamaConfig() base.ProviderConfig {
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return base.ProviderConfig{
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BaseURL: "",
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ChatCompletions: "/api/chat",
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Embeddings: "/api/embeddings",
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}
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}
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// 请求错误处理
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func RequestErrorHandle(resp *http.Response) *types.OpenAIError {
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errorResponse := &OllamaError{}
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err := json.NewDecoder(resp.Body).Decode(errorResponse)
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if err != nil {
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return nil
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}
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return errorHandle(errorResponse)
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}
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// 错误处理
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func errorHandle(OllamaError *OllamaError) *types.OpenAIError {
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if OllamaError.Error == "" {
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return nil
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}
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return &types.OpenAIError{
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Message: OllamaError.Error,
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Type: "Ollama Error",
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}
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}
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// 获取请求头
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func (p *OllamaProvider) GetRequestHeaders() (headers map[string]string) {
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headers = make(map[string]string)
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p.CommonRequestHeaders(headers)
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otherHeaders := p.Channel.Plugin.Data()["headers"]
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for key, value := range otherHeaders {
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headerValue, isString := value.(string)
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if !isString || headerValue == "" {
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continue
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}
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headers[key] = headerValue
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}
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return headers
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}
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207
providers/ollama/chat.go
Normal file
207
providers/ollama/chat.go
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@ -0,0 +1,207 @@
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package ollama
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import (
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"encoding/json"
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"fmt"
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"net/http"
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"one-api/common"
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"one-api/common/image"
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"one-api/common/requester"
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"one-api/types"
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"strings"
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)
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type ollamaStreamHandler struct {
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Usage *types.Usage
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Request *types.ChatCompletionRequest
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}
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func (p *OllamaProvider) CreateChatCompletion(request *types.ChatCompletionRequest) (*types.ChatCompletionResponse, *types.OpenAIErrorWithStatusCode) {
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req, errWithCode := p.getChatRequest(request)
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if errWithCode != nil {
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return nil, errWithCode
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}
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defer req.Body.Close()
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response := &ChatResponse{}
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// 发送请求
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_, errWithCode = p.Requester.SendRequest(req, response, false)
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if errWithCode != nil {
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return nil, errWithCode
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}
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return p.convertToChatOpenai(response, request)
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}
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func (p *OllamaProvider) CreateChatCompletionStream(request *types.ChatCompletionRequest) (requester.StreamReaderInterface[string], *types.OpenAIErrorWithStatusCode) {
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req, errWithCode := p.getChatRequest(request)
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if errWithCode != nil {
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return nil, errWithCode
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}
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defer req.Body.Close()
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// 发送请求
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resp, errWithCode := p.Requester.SendRequestRaw(req)
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if errWithCode != nil {
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return nil, errWithCode
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}
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chatHandler := &ollamaStreamHandler{
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Usage: p.Usage,
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Request: request,
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}
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return requester.RequestStream(p.Requester, resp, chatHandler.handlerStream)
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}
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func (p *OllamaProvider) getChatRequest(request *types.ChatCompletionRequest) (*http.Request, *types.OpenAIErrorWithStatusCode) {
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url, errWithCode := p.GetSupportedAPIUri(common.RelayModeChatCompletions)
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if errWithCode != nil {
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return nil, errWithCode
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}
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// 获取请求地址
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fullRequestURL := p.GetFullRequestURL(url, request.Model)
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// 获取请求头
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headers := p.GetRequestHeaders()
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ollamaRequest, errWithCode := convertFromChatOpenai(request)
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if errWithCode != nil {
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return nil, errWithCode
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}
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// 创建请求
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req, err := p.Requester.NewRequest(http.MethodPost, fullRequestURL, p.Requester.WithBody(ollamaRequest), p.Requester.WithHeader(headers))
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if err != nil {
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return nil, common.ErrorWrapper(err, "new_request_failed", http.StatusInternalServerError)
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}
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return req, nil
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}
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func (p *OllamaProvider) convertToChatOpenai(response *ChatResponse, request *types.ChatCompletionRequest) (openaiResponse *types.ChatCompletionResponse, errWithCode *types.OpenAIErrorWithStatusCode) {
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err := errorHandle(&response.OllamaError)
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if err != nil {
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errWithCode = &types.OpenAIErrorWithStatusCode{
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OpenAIError: *err,
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StatusCode: http.StatusBadRequest,
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}
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return
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}
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choices := types.ChatCompletionChoice{
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Index: 0,
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Message: types.ChatCompletionMessage{
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Role: response.Message.Role,
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Content: response.Message.Content,
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},
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FinishReason: types.FinishReasonStop,
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}
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openaiResponse = &types.ChatCompletionResponse{
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ID: fmt.Sprintf("chatcmpl-%s", common.GetUUID()),
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Object: "chat.completion",
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Created: common.GetTimestamp(),
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Model: request.Model,
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Choices: []types.ChatCompletionChoice{choices},
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Usage: &types.Usage{
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PromptTokens: response.PromptEvalCount,
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CompletionTokens: response.EvalCount,
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TotalTokens: response.PromptEvalCount + response.EvalCount,
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},
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}
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*p.Usage = *openaiResponse.Usage
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return openaiResponse, nil
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}
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func convertFromChatOpenai(request *types.ChatCompletionRequest) (*ChatRequest, *types.OpenAIErrorWithStatusCode) {
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ollamaRequest := &ChatRequest{
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Model: request.Model,
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Stream: request.Stream,
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Messages: make([]Message, 0, len(request.Messages)),
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Options: Option{
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Temperature: request.Temperature,
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TopP: request.TopP,
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Seed: request.Seed,
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},
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}
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for _, message := range request.Messages {
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ollamaMessage := Message{
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Role: message.Role,
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Content: "",
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}
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openaiMessagePart := message.ParseContent()
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for _, openaiPart := range openaiMessagePart {
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if openaiPart.Type == types.ContentTypeText {
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ollamaMessage.Content += openaiPart.Text
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} else if openaiPart.Type == types.ContentTypeImageURL {
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_, data, err := image.GetImageFromUrl(openaiPart.ImageURL.URL)
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if err != nil {
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return nil, common.ErrorWrapper(err, "image_url_invalid", http.StatusBadRequest)
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}
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ollamaMessage.Images = append(ollamaMessage.Images, data)
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}
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}
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ollamaRequest.Messages = append(ollamaRequest.Messages, ollamaMessage)
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}
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return ollamaRequest, nil
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}
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// 转换为OpenAI聊天流式请求体
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func (h *ollamaStreamHandler) handlerStream(rawLine *[]byte, dataChan chan string, errChan chan error) {
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if !strings.HasPrefix(string(*rawLine), "{") {
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*rawLine = nil
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return
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}
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var chatResponse ChatResponse
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err := json.Unmarshal(*rawLine, &chatResponse)
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if err != nil {
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errChan <- common.ErrorToOpenAIError(err)
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return
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}
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errWithCode := errorHandle(&chatResponse.OllamaError)
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if errWithCode != nil {
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errChan <- errWithCode
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return
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}
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choice := types.ChatCompletionStreamChoice{
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Index: 0,
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}
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if chatResponse.Message.Content != "" {
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choice.Delta = types.ChatCompletionStreamChoiceDelta{
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Role: types.ChatMessageRoleAssistant,
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Content: chatResponse.Message.Content,
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}
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}
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if chatResponse.Done {
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choice.FinishReason = types.FinishReasonStop
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}
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if chatResponse.EvalCount > 0 {
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h.Usage.PromptTokens = chatResponse.PromptEvalCount
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h.Usage.CompletionTokens = chatResponse.EvalCount
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h.Usage.TotalTokens = h.Usage.PromptTokens + chatResponse.EvalCount
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}
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chatCompletion := types.ChatCompletionStreamResponse{
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ID: fmt.Sprintf("chatcmpl-%s", common.GetUUID()),
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Object: "chat.completion.chunk",
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Created: common.GetTimestamp(),
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Model: h.Request.Model,
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Choices: []types.ChatCompletionStreamChoice{choice},
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}
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responseBody, _ := json.Marshal(chatCompletion)
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dataChan <- string(responseBody)
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}
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70
providers/ollama/embeddings.go
Normal file
70
providers/ollama/embeddings.go
Normal file
@ -0,0 +1,70 @@
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package ollama
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import (
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"net/http"
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"one-api/common"
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"one-api/types"
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)
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func (p *OllamaProvider) CreateEmbeddings(request *types.EmbeddingRequest) (*types.EmbeddingResponse, *types.OpenAIErrorWithStatusCode) {
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url, errWithCode := p.GetSupportedAPIUri(common.RelayModeEmbeddings)
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if errWithCode != nil {
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return nil, errWithCode
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}
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// 获取请求地址
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fullRequestURL := p.GetFullRequestURL(url, request.Model)
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if fullRequestURL == "" {
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return nil, common.ErrorWrapper(nil, "invalid_ollama_config", http.StatusInternalServerError)
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}
|
||||
|
||||
// 获取请求头
|
||||
headers := p.GetRequestHeaders()
|
||||
|
||||
ollamaRequest := &EmbeddingRequest{
|
||||
Model: request.Model,
|
||||
Prompt: request.ParseInputString(),
|
||||
}
|
||||
|
||||
// 创建请求
|
||||
req, err := p.Requester.NewRequest(http.MethodPost, fullRequestURL, p.Requester.WithBody(ollamaRequest), p.Requester.WithHeader(headers))
|
||||
if err != nil {
|
||||
return nil, common.ErrorWrapper(err, "new_request_failed", http.StatusInternalServerError)
|
||||
}
|
||||
defer req.Body.Close()
|
||||
|
||||
ollamaResponse := &EmbeddingResponse{}
|
||||
|
||||
// 发送请求
|
||||
var res *http.Response
|
||||
res, errWithCode = p.Requester.SendRequest(req, ollamaResponse, false)
|
||||
if errWithCode != nil {
|
||||
return nil, errWithCode
|
||||
}
|
||||
|
||||
errWithOP := errorHandle(&ollamaResponse.OllamaError)
|
||||
if errWithOP != nil {
|
||||
return nil, &types.OpenAIErrorWithStatusCode{
|
||||
OpenAIError: *errWithOP,
|
||||
StatusCode: res.StatusCode,
|
||||
}
|
||||
}
|
||||
|
||||
response := &types.EmbeddingResponse{
|
||||
Object: "list",
|
||||
Model: request.Model,
|
||||
Data: []types.Embedding{{
|
||||
Object: "embedding",
|
||||
Index: 0,
|
||||
Embedding: ollamaResponse.Embedding,
|
||||
}},
|
||||
Usage: &types.Usage{
|
||||
TotalTokens: 0,
|
||||
CompletionTokens: 0,
|
||||
PromptTokens: 0,
|
||||
},
|
||||
}
|
||||
|
||||
*p.Usage = *response.Usage
|
||||
|
||||
return response, nil
|
||||
}
|
48
providers/ollama/type.go
Normal file
48
providers/ollama/type.go
Normal file
@ -0,0 +1,48 @@
|
||||
package ollama
|
||||
|
||||
import "time"
|
||||
|
||||
type OllamaError struct {
|
||||
Error string `json:"error,omitempty"`
|
||||
}
|
||||
|
||||
type ChatRequest struct {
|
||||
Model string `json:"model"`
|
||||
Messages []Message `json:"messages,omitempty"`
|
||||
Stream bool `json:"stream"`
|
||||
Format string `json:"format,omitempty"`
|
||||
Options Option `json:"options,omitempty"`
|
||||
}
|
||||
|
||||
type Option struct {
|
||||
Temperature float64 `json:"temperature,omitempty"`
|
||||
Seed *int `json:"seed,omitempty"`
|
||||
TopP float64 `json:"top_p,omitempty"`
|
||||
TopK int `json:"top_k,omitempty"`
|
||||
}
|
||||
|
||||
type ChatResponse struct {
|
||||
OllamaError
|
||||
Model string `json:"model"`
|
||||
CreatedAt time.Time `json:"created_at"`
|
||||
Message Message `json:"message,omitempty"`
|
||||
Done bool `json:"done"`
|
||||
EvalCount int `json:"eval_count,omitempty"`
|
||||
PromptEvalCount int `json:"prompt_eval_count,omitempty"`
|
||||
}
|
||||
|
||||
type Message struct {
|
||||
Role string `json:"role,omitempty"`
|
||||
Content string `json:"content,omitempty"`
|
||||
Images []string `json:"images,omitempty"`
|
||||
}
|
||||
|
||||
type EmbeddingRequest struct {
|
||||
Model string `json:"model"`
|
||||
Prompt string `json:"prompt"`
|
||||
}
|
||||
|
||||
type EmbeddingResponse struct {
|
||||
OllamaError
|
||||
Embedding []float64 `json:"embedding,omitempty"`
|
||||
}
|
@ -20,6 +20,7 @@ import (
|
||||
"one-api/providers/midjourney"
|
||||
"one-api/providers/minimax"
|
||||
"one-api/providers/mistral"
|
||||
"one-api/providers/ollama"
|
||||
"one-api/providers/openai"
|
||||
"one-api/providers/palm"
|
||||
"one-api/providers/stabilityAI"
|
||||
@ -62,6 +63,7 @@ func init() {
|
||||
providerFactories[common.ChannelTypeCohere] = cohere.CohereProviderFactory{}
|
||||
providerFactories[common.ChannelTypeStabilityAI] = stabilityAI.StabilityAIProviderFactory{}
|
||||
providerFactories[common.ChannelTypeCoze] = coze.CozeProviderFactory{}
|
||||
providerFactories[common.ChannelTypeOllama] = ollama.OllamaProviderFactory{}
|
||||
|
||||
}
|
||||
|
||||
|
@ -28,5 +28,6 @@ func init() {
|
||||
common.ChannelTypeCloudflareAI: "Cloudflare AI",
|
||||
common.ChannelTypeCohere: "Cohere",
|
||||
common.ChannelTypeStabilityAI: "Stability AI",
|
||||
common.ChannelTypeOllama: "Ollama",
|
||||
}
|
||||
}
|
||||
|
@ -144,27 +144,34 @@ export const CHANNEL_OPTIONS = {
|
||||
text: 'Cloudflare AI',
|
||||
value: 35,
|
||||
color: 'orange',
|
||||
url: ''
|
||||
url: 'https://ai.cloudflare.com/'
|
||||
},
|
||||
36: {
|
||||
key: 36,
|
||||
text: 'Cohere',
|
||||
value: 36,
|
||||
color: 'default',
|
||||
url: ''
|
||||
url: 'https://cohere.com/'
|
||||
},
|
||||
37: {
|
||||
key: 37,
|
||||
text: 'Stability AI',
|
||||
value: 37,
|
||||
color: 'default',
|
||||
url: ''
|
||||
url: 'https://platform.stability.ai/account/credits'
|
||||
},
|
||||
38: {
|
||||
key: 38,
|
||||
text: 'Coze',
|
||||
value: 38,
|
||||
color: 'primary',
|
||||
url: 'https://www.coze.com/open/docs/chat?_lang=zh'
|
||||
},
|
||||
39: {
|
||||
key: 39,
|
||||
text: 'Ollama',
|
||||
value: 39,
|
||||
color: 'orange',
|
||||
url: ''
|
||||
},
|
||||
24: {
|
||||
|
@ -636,6 +636,7 @@ const EditModal = ({ open, channelId, onCancel, onOk, groupOptions }) => {
|
||||
<>
|
||||
<Divider sx={{ ...theme.typography.otherInput }} />
|
||||
<Typography variant="h3">{plugin.name}</Typography>
|
||||
<Typography variant="caption">{plugin.description}</Typography>
|
||||
{Object.keys(plugin.params).map((paramId) => {
|
||||
const param = plugin.params[paramId];
|
||||
const name = `plugin.${pluginId}.${paramId}`;
|
||||
|
@ -315,6 +315,15 @@ const typeConfig = {
|
||||
'模型名称映射, 你可以取一个容易记忆的名字来代替coze-{bot_id},例如:{"coze-translate": "coze-xxxxx"},注意:如果使用了模型映射,那么上面的模型名称必须使用映射前的名称,上述例子中,你应该在模型中填入coze-translate(如果已经使用了coze-*,可以忽略)。'
|
||||
},
|
||||
modelGroup: 'Coze'
|
||||
},
|
||||
39: {
|
||||
input: {
|
||||
models: ['phi3', 'llama3']
|
||||
},
|
||||
prompt: {
|
||||
base_url: '请输入你部署的Ollama地址,例如:http://127.0.0.1:11434,如果你使用了cloudflare Zero Trust,可以在下方插件填入授权信息',
|
||||
key: '请随意填写'
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
|
@ -88,5 +88,25 @@
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"39": {
|
||||
"headers": {
|
||||
"name": "Header 配置",
|
||||
"description": "本配置主要是用于使用cloudflare Zero Trust将端口暴露到公网时,需要配置的header",
|
||||
"params": {
|
||||
"CF-Access-Client-Id": {
|
||||
"name": "CF-Access-Client-Id",
|
||||
"description": "CF-Access-Client-Id",
|
||||
"type": "string",
|
||||
"required": true
|
||||
},
|
||||
"CF-Access-Client-Secret": {
|
||||
"name": "CF-Access-Client-Secret",
|
||||
"description": "CF-Access-Client-Secret",
|
||||
"type": "string",
|
||||
"required": true
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
Loading…
Reference in New Issue
Block a user