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15
Dockerfile
15
Dockerfile
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@ -1,17 +1,22 @@
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|||
FROM golang:alpine AS builder
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||||
|
||||
WORKDIR /app
|
||||
COPY . .
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||||
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||||
ADD . .
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||||
ENV GO111MODULE=on GOPROXY=https://goproxy.cn,direct
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||||
RUN go mod download
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||||
|
||||
RUN CGO_ENABLED=0 GOOS=linux go build -a -installsuffix cgo -o override
|
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RUN CGO_ENABLED=0 go build -ldflags="-w -s" -o override
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|
||||
FROM alpine:latest
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||||
|
||||
COPY --from=builder /app/override /usr/local/bin/override
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RUN apk --no-cache add ca-certificates
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|
||||
COPY --from=builder /app/override /usr/local/bin/
|
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COPY config.json.example /app/config.json
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||||
|
||||
WORKDIR /app
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||||
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||||
ENTRYPOINT ["/usr/local/bin/override"]
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VOLUME /app
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||||
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||||
EXPOSE 8181
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CMD ["override"]
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|
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69
README.md
69
README.md
|
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@ -6,7 +6,7 @@
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|||
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||||
```json
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||||
"github.copilot.advanced": {
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||||
"debug.overrideCAPIUrl": "http://127.0.0.1:8181",
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"debug.overrideCAPIUrl": "http://127.0.0.1:8181/v1",
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||||
"debug.overrideProxyUrl": "http://127.0.0.1:8181",
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||||
"debug.chatOverrideProxyUrl": "http://127.0.0.1:8181/v1/chat/completions",
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||||
"authProvider": "github-enterprise"
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|
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@ -28,42 +28,71 @@
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|||
|
||||
```json
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||||
{
|
||||
"bind": "127.0.0.1:8181",
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"proxy_url": "",
|
||||
"timeout": 600,
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"codex_api_base": "https://api-proxy.oaipro.com/v1",
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||||
"codex_api_key": "sk-xxx",
|
||||
"codex_api_organization": "",
|
||||
"codex_api_project": "",
|
||||
"code_instruct_model": "gpt-3.5-turbo-instruct",
|
||||
"chat_api_base": "https://api-proxy.oaipro.com/v1",
|
||||
"chat_api_key": "sk-xxx",
|
||||
"chat_api_organization": "",
|
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"chat_api_project": "",
|
||||
"chat_max_tokens": 4096,
|
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"chat_model_default": "gpt-4o",
|
||||
"chat_model_map": {},
|
||||
"auth_token": ""
|
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"bind": "127.0.0.1:8181",
|
||||
"proxy_url": "",
|
||||
"timeout": 600,
|
||||
"codex_api_base": "https://api-proxy.oaipro.com/v1",
|
||||
"codex_api_key": "sk-xxx",
|
||||
"codex_api_organization": "",
|
||||
"codex_api_project": "",
|
||||
"codex_max_tokens": 500,
|
||||
"code_instruct_model": "gpt-3.5-turbo-instruct",
|
||||
"chat_api_base": "https://api-proxy.oaipro.com/v1",
|
||||
"chat_api_key": "sk-xxx",
|
||||
"chat_api_organization": "",
|
||||
"chat_api_project": "",
|
||||
"chat_max_tokens": 4096,
|
||||
"chat_model_default": "gpt-4o",
|
||||
"chat_model_map": {},
|
||||
"chat_locale": "zh_CN",
|
||||
"auth_token": ""
|
||||
}
|
||||
|
||||
```
|
||||
|
||||
`organization` 和 `project` 除非你有,且知道怎么回事再填。
|
||||
|
||||
`chat_model_map` 是个模型映射的字典。会将请求的模型映射到你想要的,如果不存在映射,则使用 `chat_model_default` 。
|
||||
|
||||
`codex_max_tokens` 可以设置为你希望的最大Token数,你设置的时候最好知道自己在做什么。代码生成通常使用 `500` 即可。
|
||||
|
||||
`chat_max_tokens` 可以设置为你希望的最大Token数,你设置的时候最好知道自己在做什么。`gpt-4o` 输出最大为 `4096`
|
||||
|
||||
可以通过 `OVERRIDE_` + 大写配置项作为环境变量,可以覆盖 `config.json` 中的值。例如:`OVERRIDE_CODEX_API_KEY=sk-xxxx`
|
||||
|
||||
### DeepSeek Coder 设置
|
||||
如果你希望使用 DeepSeek Coder FIM 来进行代码补全,着重修改以下配置:
|
||||
|
||||
```json
|
||||
"codex_api_base": "https://api.deepseek.com/beta/v1",
|
||||
"codex_api_key": "sk-xxx",
|
||||
"code_instruct_model": "deepseek-coder",
|
||||
```
|
||||
|
||||
### Siliconflow 设置
|
||||
如果你希望使用 Siliconflow FIM 模型来进行代码补全,着重修改以下配置:
|
||||
|
||||
```json
|
||||
"codex_api_base": "https://api.siliconflow.cn/v1",
|
||||
"codex_api_key": "sk-xxx,sk-xxx2,sk-xxx3...",
|
||||
"code_instruct_model": "Qwen/Qwen2.5-Coder-7B-Instruct",
|
||||
```
|
||||
|
||||
截至目前,Siliconflow 共有三个模型支持 FIM。分别是 `Qwen/Qwen2.5-Coder-7B-Instruct`、`deepseek-ai/DeepSeek-Coder-V2-Instruct` 、`deepseek-ai/DeepSeek-V2.5`。其中 `Qwen/Qwen2.5-Coder-7B-Instruct` 是免费模型,另外两个是收费模型。
|
||||
|
||||
如果你有很多 Siliconflow API Key, 可以以英文逗号分隔填入`codex_api_key`字段, 这样可以很好的避免Siliconflow官方的 TPM RateLimit 对你编码速度影响(尤其使用收费模型时,用户级别较低,TPM 最低只有 10k)。
|
||||
|
||||
|
||||
|
||||
### 本地大模型设置
|
||||
1. 安装ollama
|
||||
2. ollama run stable-code:code (这个模型较小,大部分显卡都能跑)
|
||||
或者你的显卡比较高安装这个:ollama run stable-code:3b-code-fp16
|
||||
3. 修改config.json里面的codex_api_base为http://localhost:11434/v1/chat
|
||||
4. 修改code_instruct_model为你的模型名称,stable-code:code或者stable-code:3b-code-fp16
|
||||
4. 剩下的就按照正常流程走即可。
|
||||
5. 如果调不通,请确认http://localhost:11434/v1/chat可用。
|
||||
|
||||
5. 剩下的就按照正常流程走即可。
|
||||
6. 如果调不通,请确认http://localhost:11434/v1/chat可用。
|
||||
|
||||
### 重要说明
|
||||
`codex_max_tokens` 工作并不完美,已经移除。**JetBrains IDE 完美工作**,`VSCode` 需要执行以下脚本Patch之:
|
||||
|
||||
|
|
|
|||
|
|
@ -6,6 +6,8 @@
|
|||
"codex_api_key": "sk-xxx",
|
||||
"codex_api_organization": "",
|
||||
"codex_api_project": "",
|
||||
"codex_max_tokens": 500,
|
||||
"code_instruct_model": "gpt-3.5-turbo-instruct",
|
||||
"chat_api_base": "https://api-proxy.oaipro.com/v1",
|
||||
"chat_api_key": "sk-xxx",
|
||||
"chat_api_organization": "",
|
||||
|
|
@ -13,5 +15,6 @@
|
|||
"chat_max_tokens": 4096,
|
||||
"chat_model_default": "gpt-4o",
|
||||
"chat_model_map": {},
|
||||
"chat_locale": "zh_CN"
|
||||
}
|
||||
"chat_locale": "zh_CN",
|
||||
"auth_token": ""
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1 +0,0 @@
|
|||
package main
|
||||
194
main.go
194
main.go
|
|
@ -19,12 +19,17 @@ import (
|
|||
"strconv"
|
||||
"strings"
|
||||
"time"
|
||||
"math/rand"
|
||||
)
|
||||
|
||||
const DefaultInstructModel = "gpt-3.5-turbo-instruct"
|
||||
|
||||
const StableCodeModelPrefix = "stable-code"
|
||||
|
||||
const DeepSeekCoderModel = "deepseek-coder"
|
||||
|
||||
var SiliconflowModels = []string{"deepseek-ai/DeepSeek-V2.5", "deepseek-ai/DeepSeek-Coder-V2-Instruct", "Qwen/Qwen2.5-Coder-7B-Instruct"}
|
||||
|
||||
type config struct {
|
||||
Bind string `json:"bind"`
|
||||
ProxyUrl string `json:"proxy_url"`
|
||||
|
|
@ -33,6 +38,7 @@ type config struct {
|
|||
CodexApiKey string `json:"codex_api_key"`
|
||||
CodexApiOrganization string `json:"codex_api_organization"`
|
||||
CodexApiProject string `json:"codex_api_project"`
|
||||
CodexMaxTokens int `json:"codex_max_tokens"`
|
||||
CodeInstructModel string `json:"code_instruct_model"`
|
||||
ChatApiBase string `json:"chat_api_base"`
|
||||
ChatApiKey string `json:"chat_api_key"`
|
||||
|
|
@ -46,7 +52,13 @@ type config struct {
|
|||
}
|
||||
|
||||
func readConfig() *config {
|
||||
content, err := os.ReadFile("config.json")
|
||||
var configPath string
|
||||
if len(os.Args) > 1 {
|
||||
configPath = os.Args[1]
|
||||
} else {
|
||||
configPath = "config.json"
|
||||
}
|
||||
content, err := os.ReadFile(configPath)
|
||||
if nil != err {
|
||||
log.Fatal(err)
|
||||
}
|
||||
|
|
@ -97,6 +109,14 @@ func readConfig() *config {
|
|||
_cfg.CodeInstructModel = DefaultInstructModel
|
||||
}
|
||||
|
||||
if _cfg.CodexMaxTokens == 0 {
|
||||
_cfg.CodexMaxTokens = 500
|
||||
}
|
||||
|
||||
if _cfg.ChatMaxTokens == 0 {
|
||||
_cfg.ChatMaxTokens = 4096
|
||||
}
|
||||
|
||||
return _cfg
|
||||
}
|
||||
|
||||
|
|
@ -173,6 +193,7 @@ func AuthMiddleware(authToken string) gin.HandlerFunc {
|
|||
func (s *ProxyService) InitRoutes(e *gin.Engine) {
|
||||
e.GET("/_ping", s.pong)
|
||||
e.GET("/models", s.models)
|
||||
e.GET("/v1/models", s.models)
|
||||
authToken := s.cfg.AuthToken // replace with your dynamic value as needed
|
||||
if authToken != "" {
|
||||
// 鉴权
|
||||
|
|
@ -180,10 +201,16 @@ func (s *ProxyService) InitRoutes(e *gin.Engine) {
|
|||
{
|
||||
v1.POST("/chat/completions", s.completions)
|
||||
v1.POST("/engines/copilot-codex/completions", s.codeCompletions)
|
||||
|
||||
v1.POST("/v1/chat/completions", s.completions)
|
||||
v1.POST("/v1/engines/copilot-codex/completions", s.codeCompletions)
|
||||
}
|
||||
} else {
|
||||
e.POST("/v1/chat/completions", s.completions)
|
||||
e.POST("/v1/engines/copilot-codex/completions", s.codeCompletions)
|
||||
|
||||
e.POST("/v1/v1/chat/completions", s.completions)
|
||||
e.POST("/v1/v1/engines/copilot-codex/completions", s.codeCompletions)
|
||||
}
|
||||
}
|
||||
|
||||
|
|
@ -206,9 +233,12 @@ func (s *ProxyService) models(c *gin.Context) {
|
|||
"data": []gin.H{
|
||||
{
|
||||
"capabilities": gin.H{
|
||||
"family": "gpt-3.5-turbo",
|
||||
"object": "model_capabilities",
|
||||
"type": "chat",
|
||||
"family": "gpt-3.5-turbo",
|
||||
"limits": gin.H{"max_prompt_tokens": 12288},
|
||||
"object": "model_capabilities",
|
||||
"supports": gin.H{"tool_calls": true},
|
||||
"tokenizer": "cl100k_base",
|
||||
"type": "chat",
|
||||
},
|
||||
"id": "gpt-3.5-turbo",
|
||||
"name": "GPT 3.5 Turbo",
|
||||
|
|
@ -217,20 +247,26 @@ func (s *ProxyService) models(c *gin.Context) {
|
|||
},
|
||||
{
|
||||
"capabilities": gin.H{
|
||||
"family": "gpt-3.5-turbo",
|
||||
"object": "model_capabilities",
|
||||
"type": "chat",
|
||||
"family": "gpt-3.5-turbo",
|
||||
"limits": gin.H{"max_prompt_tokens": 12288},
|
||||
"object": "model_capabilities",
|
||||
"supports": gin.H{"tool_calls": true},
|
||||
"tokenizer": "cl100k_base",
|
||||
"type": "chat",
|
||||
},
|
||||
"id": "gpt-3.5-turbo-0613",
|
||||
"name": "GPT 3.5 Turbo (2023-06-13)",
|
||||
"name": "GPT 3.5 Turbo",
|
||||
"object": "model",
|
||||
"version": "gpt-3.5-turbo-0613",
|
||||
},
|
||||
{
|
||||
"capabilities": gin.H{
|
||||
"family": "gpt-4",
|
||||
"object": "model_capabilities",
|
||||
"type": "chat",
|
||||
"family": "gpt-4",
|
||||
"limits": gin.H{"max_prompt_tokens": 20000},
|
||||
"object": "model_capabilities",
|
||||
"supports": gin.H{"tool_calls": true},
|
||||
"tokenizer": "cl100k_base",
|
||||
"type": "chat",
|
||||
},
|
||||
"id": "gpt-4",
|
||||
"name": "GPT 4",
|
||||
|
|
@ -239,31 +275,81 @@ func (s *ProxyService) models(c *gin.Context) {
|
|||
},
|
||||
{
|
||||
"capabilities": gin.H{
|
||||
"family": "gpt-4",
|
||||
"object": "model_capabilities",
|
||||
"type": "chat",
|
||||
"family": "gpt-4",
|
||||
"limits": gin.H{"max_prompt_tokens": 20000},
|
||||
"object": "model_capabilities",
|
||||
"supports": gin.H{"tool_calls": true},
|
||||
"tokenizer": "cl100k_base",
|
||||
"type": "chat",
|
||||
},
|
||||
"id": "gpt-4-0613",
|
||||
"name": "GPT 4 (2023-06-13)",
|
||||
"name": "GPT 4",
|
||||
"object": "model",
|
||||
"version": "gpt-4-0613",
|
||||
},
|
||||
{
|
||||
"capabilities": gin.H{
|
||||
"family": "gpt-4-turbo",
|
||||
"object": "model_capabilities",
|
||||
"type": "chat",
|
||||
"family": "gpt-4-turbo",
|
||||
"limits": gin.H{"max_prompt_tokens": 20000},
|
||||
"object": "model_capabilities",
|
||||
"supports": gin.H{"parallel_tool_calls": true, "tool_calls": true},
|
||||
"tokenizer": "cl100k_base",
|
||||
"type": "chat",
|
||||
},
|
||||
"id": "gpt-4-0125-preview",
|
||||
"name": "GPT 4 Turbo (2024-01-25 Preview)",
|
||||
"name": "GPT 4 Turbo",
|
||||
"object": "model",
|
||||
"version": "gpt-4-0125-preview",
|
||||
},
|
||||
{
|
||||
"capabilities": gin.H{
|
||||
"family": "text-embedding-ada-002",
|
||||
"object": "model_capabilities",
|
||||
"type": "embeddings",
|
||||
"family": "gpt-4o",
|
||||
"limits": gin.H{"max_prompt_tokens": 20000},
|
||||
"object": "model_capabilities",
|
||||
"supports": gin.H{"parallel_tool_calls": true, "tool_calls": true},
|
||||
"tokenizer": "o200k_base",
|
||||
"type": "chat",
|
||||
},
|
||||
"id": "gpt-4o",
|
||||
"name": "GPT 4o",
|
||||
"object": "model",
|
||||
"version": "gpt-4o-2024-05-13",
|
||||
},
|
||||
{
|
||||
"capabilities": gin.H{
|
||||
"family": "gpt-4o",
|
||||
"limits": gin.H{"max_prompt_tokens": 20000},
|
||||
"object": "model_capabilities",
|
||||
"supports": gin.H{"parallel_tool_calls": true, "tool_calls": true},
|
||||
"tokenizer": "o200k_base",
|
||||
"type": "chat",
|
||||
},
|
||||
"id": "gpt-4o-2024-05-13",
|
||||
"name": "GPT 4o",
|
||||
"object": "model",
|
||||
"version": "gpt-4o-2024-05-13",
|
||||
},
|
||||
{
|
||||
"capabilities": gin.H{
|
||||
"family": "gpt-4o",
|
||||
"limits": gin.H{"max_prompt_tokens": 20000},
|
||||
"object": "model_capabilities",
|
||||
"supports": gin.H{"parallel_tool_calls": true, "tool_calls": true},
|
||||
"tokenizer": "o200k_base",
|
||||
"type": "chat",
|
||||
},
|
||||
"id": "gpt-4-o-preview",
|
||||
"name": "GPT 4o",
|
||||
"object": "model",
|
||||
},
|
||||
{
|
||||
"capabilities": gin.H{
|
||||
"family": "text-embedding-ada-002",
|
||||
"limits": gin.H{"max_inputs": 256},
|
||||
"object": "model_capabilities",
|
||||
"supports": gin.H{},
|
||||
"tokenizer": "cl100k_base",
|
||||
"type": "embeddings",
|
||||
},
|
||||
"id": "text-embedding-ada-002",
|
||||
"name": "Embedding V2 Ada",
|
||||
|
|
@ -272,20 +358,12 @@ func (s *ProxyService) models(c *gin.Context) {
|
|||
},
|
||||
{
|
||||
"capabilities": gin.H{
|
||||
"family": "text-embedding-ada-002",
|
||||
"object": "model_capabilities",
|
||||
"type": "embeddings",
|
||||
},
|
||||
"id": "text-embedding-ada-002-index",
|
||||
"name": "Embedding V2 Ada (Index)",
|
||||
"object": "model",
|
||||
"version": "text-embedding-ada-002",
|
||||
},
|
||||
{
|
||||
"capabilities": gin.H{
|
||||
"family": "text-embedding-3-small",
|
||||
"object": "model_capabilities",
|
||||
"type": "embeddings",
|
||||
"family": "text-embedding-3-small",
|
||||
"limits": gin.H{"max_inputs": 256},
|
||||
"object": "model_capabilities",
|
||||
"supports": gin.H{"dimensions": true},
|
||||
"tokenizer": "cl100k_base",
|
||||
"type": "embeddings",
|
||||
},
|
||||
"id": "text-embedding-3-small",
|
||||
"name": "Embedding V3 small",
|
||||
|
|
@ -294,9 +372,11 @@ func (s *ProxyService) models(c *gin.Context) {
|
|||
},
|
||||
{
|
||||
"capabilities": gin.H{
|
||||
"family": "text-embedding-3-small",
|
||||
"object": "model_capabilities",
|
||||
"type": "embeddings",
|
||||
"family": "text-embedding-3-small",
|
||||
"object": "model_capabilities",
|
||||
"supports": gin.H{"dimensions": true},
|
||||
"tokenizer": "cl100k_base",
|
||||
"type": "embeddings",
|
||||
},
|
||||
"id": "text-embedding-3-small-inference",
|
||||
"name": "Embedding V3 small (Inference)",
|
||||
|
|
@ -327,6 +407,12 @@ func (s *ProxyService) completions(c *gin.Context) {
|
|||
|
||||
if !gjson.GetBytes(body, "function_call").Exists() {
|
||||
messages := gjson.GetBytes(body, "messages").Array()
|
||||
for i, msg := range messages {
|
||||
toolCalls := msg.Get("tool_calls").Array()
|
||||
if len(toolCalls) == 0 {
|
||||
body, _ = sjson.DeleteBytes(body, fmt.Sprintf("messages.%d.tool_calls", i))
|
||||
}
|
||||
}
|
||||
lastIndex := len(messages) - 1
|
||||
if !strings.Contains(messages[lastIndex].Get("content").String(), "Respond in the following locale") {
|
||||
locale := s.cfg.ChatLocale
|
||||
|
|
@ -391,10 +477,14 @@ func (s *ProxyService) completions(c *gin.Context) {
|
|||
_, _ = io.Copy(c.Writer, resp.Body)
|
||||
}
|
||||
|
||||
func contains(arr []string, str string) bool {
|
||||
return strings.Contains(strings.Join(arr, ","), str)
|
||||
}
|
||||
|
||||
func (s *ProxyService) codeCompletions(c *gin.Context) {
|
||||
ctx := c.Request.Context()
|
||||
|
||||
time.Sleep(100 * time.Millisecond)
|
||||
time.Sleep(200 * time.Millisecond)
|
||||
if ctx.Err() != nil {
|
||||
abortCodex(c, http.StatusRequestTimeout)
|
||||
return
|
||||
|
|
@ -411,13 +501,12 @@ func (s *ProxyService) codeCompletions(c *gin.Context) {
|
|||
proxyUrl := s.cfg.CodexApiBase + "/completions"
|
||||
req, err := http.NewRequestWithContext(ctx, http.MethodPost, proxyUrl, io.NopCloser(bytes.NewBuffer(body)))
|
||||
if nil != err {
|
||||
//
|
||||
abortCodex(c, http.StatusInternalServerError)
|
||||
return
|
||||
}
|
||||
|
||||
req.Header.Set("Content-Type", "application/json")
|
||||
req.Header.Set("Authorization", "Bearer "+s.cfg.CodexApiKey)
|
||||
req.Header.Set("Authorization", "Bearer " + getRandomApiKey(s.cfg.CodexApiKey))
|
||||
if "" != s.cfg.CodexApiOrganization {
|
||||
req.Header.Set("OpenAI-Organization", s.cfg.CodexApiOrganization)
|
||||
}
|
||||
|
|
@ -456,17 +545,38 @@ func (s *ProxyService) codeCompletions(c *gin.Context) {
|
|||
_, _ = io.Copy(c.Writer, resp.Body)
|
||||
}
|
||||
|
||||
// 随机取一个apiKey
|
||||
func getRandomApiKey(paramStr string) string {
|
||||
params := strings.Split(paramStr, ",")
|
||||
rand.Seed(time.Now().UnixNano())
|
||||
randomIndex := rand.Intn(len(params))
|
||||
fmt.Println("Code completion API Key index:", randomIndex)
|
||||
fmt.Println("Code completion API Key:", strings.TrimSpace(params[randomIndex]))
|
||||
return strings.TrimSpace(params[randomIndex])
|
||||
}
|
||||
|
||||
func ConstructRequestBody(body []byte, cfg *config) []byte {
|
||||
body, _ = sjson.DeleteBytes(body, "extra")
|
||||
body, _ = sjson.DeleteBytes(body, "nwo")
|
||||
body, _ = sjson.SetBytes(body, "model", cfg.CodeInstructModel)
|
||||
|
||||
if int(gjson.GetBytes(body, "max_tokens").Int()) > cfg.CodexMaxTokens {
|
||||
body, _ = sjson.SetBytes(body, "max_tokens", cfg.CodexMaxTokens)
|
||||
}
|
||||
|
||||
if strings.Contains(cfg.CodeInstructModel, StableCodeModelPrefix) {
|
||||
return constructWithStableCodeModel(body)
|
||||
} else if strings.HasPrefix(cfg.CodeInstructModel, DeepSeekCoderModel) || contains(SiliconflowModels, cfg.CodeInstructModel) {
|
||||
if gjson.GetBytes(body, "n").Int() > 1 {
|
||||
body, _ = sjson.SetBytes(body, "n", 1)
|
||||
}
|
||||
}
|
||||
|
||||
if strings.HasSuffix(cfg.ChatApiBase, "chat") {
|
||||
// @Todo constructWithChatModel
|
||||
// 如果code base以chat结尾则构建chatModel,暂时没有好的prompt
|
||||
}
|
||||
|
||||
return body
|
||||
}
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue