├── .gitattributes
├── .gitignore
├── FunctionCallBridge.sln
├── FunctionCallBridge
├── .config
│ └── dotnet-tools.json
├── Controllers
│ └── ChatController.cs
├── FunctionCallBridge.csproj
├── FunctionCallPrompt.txt
├── JsonPrompt.txt
├── OpenAIModel
│ ├── AIOption.cs
│ ├── ChatCompletion.cs
│ └── OpenAIModel.cs
├── Program.cs
├── Properties
│ └── launchSettings.json
├── appsettings.Development.json
└── appsettings.json
└── README.md
/.gitattributes:
--------------------------------------------------------------------------------
1 | ###############################################################################
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/.gitignore:
--------------------------------------------------------------------------------
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362 | # Fody - auto-generated XML schema
363 | FodyWeavers.xsd
--------------------------------------------------------------------------------
/FunctionCallBridge.sln:
--------------------------------------------------------------------------------
1 |
2 | Microsoft Visual Studio Solution File, Format Version 12.00
3 | # Visual Studio Version 17
4 | VisualStudioVersion = 17.12.35527.113 d17.12
5 | MinimumVisualStudioVersion = 10.0.40219.1
6 | Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "FunctionCallBridge", "FunctionCallBridge\FunctionCallBridge.csproj", "{5A1B4A94-E1B1-48FB-B765-57227B26B780}"
7 | EndProject
8 | Global
9 | GlobalSection(SolutionConfigurationPlatforms) = preSolution
10 | Debug|Any CPU = Debug|Any CPU
11 | Release|Any CPU = Release|Any CPU
12 | EndGlobalSection
13 | GlobalSection(ProjectConfigurationPlatforms) = postSolution
14 | {5A1B4A94-E1B1-48FB-B765-57227B26B780}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
15 | {5A1B4A94-E1B1-48FB-B765-57227B26B780}.Debug|Any CPU.Build.0 = Debug|Any CPU
16 | {5A1B4A94-E1B1-48FB-B765-57227B26B780}.Release|Any CPU.ActiveCfg = Release|Any CPU
17 | {5A1B4A94-E1B1-48FB-B765-57227B26B780}.Release|Any CPU.Build.0 = Release|Any CPU
18 | EndGlobalSection
19 | GlobalSection(SolutionProperties) = preSolution
20 | HideSolutionNode = FALSE
21 | EndGlobalSection
22 | EndGlobal
23 |
--------------------------------------------------------------------------------
/FunctionCallBridge/.config/dotnet-tools.json:
--------------------------------------------------------------------------------
1 | {
2 | "version": 1,
3 | "isRoot": true,
4 | "tools": {
5 | "dotnet-ef": {
6 | "version": "9.0.1",
7 | "commands": [
8 | "dotnet-ef"
9 | ],
10 | "rollForward": false
11 | }
12 | }
13 | }
--------------------------------------------------------------------------------
/FunctionCallBridge/Controllers/ChatController.cs:
--------------------------------------------------------------------------------
1 | using FunctionCallBridge.OpenAIModel;
2 | using Microsoft.AspNetCore.Http;
3 | using Microsoft.AspNetCore.Mvc;
4 | using Newtonsoft.Json;
5 | using RestSharp;
6 | using System.Net.Http.Headers;
7 | using System.Text;
8 | using System.Text.RegularExpressions;
9 |
10 |
11 | namespace FunctionCallBridge.Controllers
12 | {
13 | [ApiController]
14 | public class ChatController : ControllerBase
15 | {
16 | ///
17 | /// 对话接口
18 | ///
19 | ///
20 | [HttpPost]
21 | [Route("v1/chat/completions")]
22 | public async Task Chat(OpenAIRequest model)
23 | {
24 | Request.Headers.TryGetValue("Authorization", out var apiKey);
25 | if (IsCall(model))
26 | {
27 | //如果已经调用过
28 |
29 | foreach (var message in model.messages)
30 | {
31 | if (message.content == null)
32 | {
33 | message.content = "开始调用函数";
34 | }
35 | if (message.role == "tool")
36 | {
37 | message.role = "assistant";
38 | }
39 | }
40 |
41 | //model.messages.RemoveAll(m => m.content == null);
42 |
43 | model.tools = null;
44 | return await ProcessRequest(model, apiKey, model.stream);
45 | }
46 | if (NeedsFunctionCallProcessing(model))
47 | {
48 | BuildFunctionCallPrompt(model);
49 | return await ProcessRequest(model, apiKey, false,false,true);
50 | }
51 | else if (NeedsJsonProcessing(model))
52 | {
53 | BuildJsonPrompt(model);
54 | return await ProcessRequest(model, apiKey, false, false);
55 | }
56 | else
57 | {
58 | model.tools = null;
59 | return await ProcessRequest(model, apiKey, model.stream);
60 | }
61 | }
62 |
63 |
64 | private bool IsCall(OpenAIRequest model)
65 | {
66 | bool flag = false; ;
67 | foreach (var message in model.messages)
68 | {
69 | if (message.role == "tool")
70 | {
71 | return true;
72 | }
73 | }
74 | return flag;
75 | }
76 |
77 | // 判断是否需要处理 function call 和 json_object 参数的方法
78 | private bool NeedsFunctionCallProcessing(OpenAIRequest model)
79 | {
80 | // 根据实际情况判断
81 | // 例如,检查 model 中是否包含特定的 function 或者参数类型
82 | //foreach (var message in model.Messages)
83 | //{
84 | // if (message.Role == "tool")
85 | // {
86 | // return false;
87 | // }
88 | //}
89 | return (model.tools!=null&&model.tools.Count>0); // 根据需求返回 true 或 false
90 | }
91 |
92 | private bool NeedsJsonProcessing(OpenAIRequest model)
93 | {
94 | // 根据实际情况判断是否需要处理 JSON
95 | // 例如,检查 model 中是否包含特定的 JSON 参数
96 | return model.response_format?.type== "json_object";
97 | }
98 |
99 | private async Task ProcessRequest(OpenAIRequest model, string apiKey, bool stream,bool isThink=true,bool isFc=false)
100 | {
101 | Console.WriteLine("请求:");
102 | Console.WriteLine(JsonConvert.SerializeObject(model, Formatting.Indented));
103 | if (stream)
104 | {
105 | Response.ContentType = "text/event-stream";
106 | Response.Headers.Add("Cache-Control", "no-cache");
107 | Response.Headers.Add("X-Accel-Buffering", "no");
108 |
109 | using var httpClient = new HttpClient();
110 | if (!string.IsNullOrEmpty(apiKey))
111 | {
112 | httpClient.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);
113 | }
114 |
115 | var requestcontent = new StringContent(JsonConvert.SerializeObject(model), Encoding.UTF8, "application/json");
116 |
117 | using var requestmessage = new HttpRequestMessage(HttpMethod.Post, AIOption.Endpoint)
118 | {
119 | Content = requestcontent
120 | };
121 |
122 | using var responsemessage = await httpClient.SendAsync(requestmessage, HttpCompletionOption.ResponseHeadersRead);
123 |
124 | if (responsemessage.IsSuccessStatusCode)
125 | {
126 | var streamResponse = await responsemessage.Content.ReadAsStreamAsync();
127 | using var reader = new StreamReader(streamResponse);
128 |
129 | string line;
130 | while ((line = await reader.ReadLineAsync()) != null)
131 | {
132 | if (!string.IsNullOrWhiteSpace(line))
133 | {
134 | var sseData = $"{line}\n\n";
135 | var dataBytes = Encoding.UTF8.GetBytes(sseData);
136 | await Response.Body.WriteAsync(dataBytes, 0, dataBytes.Length);
137 | await Response.Body.FlushAsync();
138 | }
139 | }
140 | return new EmptyResult();
141 | }
142 | else
143 | {
144 | var errorcontent = await responsemessage.Content.ReadAsStringAsync();
145 | return StatusCode((int)responsemessage.StatusCode, errorcontent);
146 | }
147 | }
148 | else
149 | {
150 | Response.ContentType = "application/json";
151 | var client = new RestClient();
152 | var request = new RestRequest(AIOption.Endpoint, Method.Post);
153 | request.AddHeader("content-Type", "application/json");
154 | if (!string.IsNullOrEmpty(apiKey))
155 | {
156 | request.AddHeader("Authorization", $"Bearer {apiKey}");
157 | }
158 | request.AddJsonBody(model);
159 |
160 | var response = await client.ExecuteAsync(request);
161 | if (response.IsSuccessful)
162 | {
163 | ChatCompletion chatCompletion = JsonConvert.DeserializeObject(response.Content);
164 | if (isThink)
165 | {
166 | return Ok(chatCompletion);
167 | }
168 | else
169 | {
170 | foreach (var choice in chatCompletion.Choices)
171 | {
172 | choice.message.content = Regex.Replace(choice.message.content, ".*?", string.Empty, RegexOptions.Singleline);
173 | choice.message.content = choice.message.content.Replace("```json", "").Replace("```", "");
174 |
175 | ToolCall tool = new ToolCall();
176 | tool.function = JsonConvert.DeserializeObject(choice.message.content);
177 | tool.function.arguments = JsonConvert.SerializeObject(tool.function.arguments);
178 | choice.message.tool_calls = new List() {
179 | tool
180 | };
181 |
182 |
183 | choice.message.content = null;
184 | if (isFc)
185 | {
186 | choice.finish_reason = "tool_calls";
187 | }
188 | }
189 |
190 | Console.WriteLine("响应:");
191 | Console.WriteLine(JsonConvert.SerializeObject(chatCompletion, Formatting.Indented));
192 | return Ok(chatCompletion);
193 | }
194 | }
195 | else
196 | {
197 | return StatusCode((int)response.StatusCode, response.Content);
198 | }
199 | }
200 | }
201 |
202 | private void BuildFunctionCallPrompt(OpenAIRequest model)
203 | {
204 | string fcPrompt = System.IO.File.ReadAllText("FunctionCallPrompt.txt");
205 |
206 | var functions = new StringBuilder();
207 | foreach (var tool in model.tools)
208 | {
209 | functions.AppendLine($"- {tool.function.name}: {tool.function.description}");
210 | }
211 | fcPrompt = fcPrompt.Replace("$(functions)", functions.ToString());
212 | fcPrompt = fcPrompt.Replace("$(input)", model.messages[model.messages.Count-1].content);
213 |
214 |
215 | model.messages[model.messages.Count - 1].content = fcPrompt;
216 |
217 | model.tools = null;
218 | }
219 |
220 | private void BuildJsonPrompt(OpenAIRequest model)
221 | {
222 | string jsonPrompt = System.IO.File.ReadAllText("JsonPrompt.txt");
223 | jsonPrompt = jsonPrompt.Replace("$(input)", model.messages[model.messages.Count - 1].content);
224 | model.messages[model.messages.Count - 1].content = jsonPrompt;
225 | }
226 | }
227 | }
228 |
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/FunctionCallBridge/FunctionCallBridge.csproj:
--------------------------------------------------------------------------------
1 |
2 |
3 |
4 | net8.0
5 | enable
6 | enable
7 | true
8 | win-x64
9 |
10 |
11 |
12 |
13 |
14 |
15 |
16 |
17 |
18 |
19 | PreserveNewest
20 |
21 |
22 | PreserveNewest
23 |
24 |
25 |
26 |
27 |
--------------------------------------------------------------------------------
/FunctionCallBridge/FunctionCallPrompt.txt:
--------------------------------------------------------------------------------
1 | 你是一个具备函数调用功能的大模型,我会给你函数清单包含函数名称(name)、描述(description)、参数(函数列表的required) 等。
2 | 你判断用户的输入是否需要调用函数,如果需要调用则返回函数,如果不需要调用函数直接用文本回答用户问题。
3 |
4 | 可选函数列表
5 | $(functions)
6 |
7 | 需要调用则返回json数据
8 | # function.parameters.properties是函数所需参数对象,对象里的key是参数名称,对象的值是参数类型和描述,
9 | # 返回结果的arguments的参数需要根据函数列表中函数对应的function.parameters参数来进行提取,确保与function.parameters的参数名称一样。
10 | 例如函数列表中函数为:
11 | {
12 | "function": {
13 | "name": "GetOrder",
14 | "description": "获取订单信息",
15 | "parameters": {
16 | "type": "object",
17 | "required": [],
18 | "properties": {
19 | "orded_id": {
20 | "type": "string",
21 | "description": "订单号"
22 | }
23 | }
24 | }
25 | },
26 | "type": "function"
27 | }
28 | 返回应该为:
29 | {
30 | "name": "GetOrder",
31 | "arguments": {"orded_id":"XXX"}
32 | }
33 |
34 | 否则直接回答用户问题。
35 |
36 |
37 |
38 | 用户输入:
39 | $(input)
40 |
41 | 你的返回:
--------------------------------------------------------------------------------
/FunctionCallBridge/JsonPrompt.txt:
--------------------------------------------------------------------------------
1 | 你是一个json提取器,用户输入的问题你必须以json格式返回。
2 | 用户问题:
3 | $(input)
--------------------------------------------------------------------------------
/FunctionCallBridge/OpenAIModel/AIOption.cs:
--------------------------------------------------------------------------------
1 | namespace FunctionCallBridge.OpenAIModel
2 | {
3 | public class AIOption
4 | {
5 | public static string Endpoint { get; set; }
6 |
7 | public static string ModelName { get; set; }
8 | }
9 | }
10 |
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/FunctionCallBridge/OpenAIModel/ChatCompletion.cs:
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1 | namespace FunctionCallBridge.OpenAIModel
2 | {
3 | public class ChatCompletion
4 | {
5 | public string Id { get; set; }
6 | public string Object { get; set; }
7 | public long Created { get; set; }
8 | public string Model { get; set; }
9 | public string SystemFingerprint { get; set; }
10 | public List Choices { get; set; }
11 | public Usage Usage { get; set; }
12 | }
13 |
14 | public class Choice
15 | {
16 | public int index { get; set; }
17 | public Message message { get; set; }
18 | public string finish_reason { get; set; }
19 | }
20 |
21 | public class Message
22 | {
23 | public string role { get; set; }
24 | public string content { get; set; }
25 |
26 | public List tool_calls { get; set; }
27 | }
28 |
29 | public class ToolCall
30 | {
31 | public string id { get; set; } = $"call_{Guid.NewGuid()}";
32 | public string type { get; set; } = "function";
33 | public Function function { get; set; }
34 | }
35 |
36 | public class Usage
37 | {
38 | public int prompt_tokens { get; set; }
39 | public int completion_tokens { get; set; }
40 | public int total_tokens { get; set; }
41 | }
42 |
43 | public class FunctionDetails
44 | {
45 | public string id { get; set; }
46 | public string Type { get; set; }
47 | public Function function { get; set; }
48 | }
49 |
50 | public class Function
51 | {
52 | public string name { get; set; }
53 | public object arguments { get; set; }
54 | }
55 | }
56 |
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/FunctionCallBridge/OpenAIModel/OpenAIModel.cs:
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1 | using FunctionCallBridge.OpenAIModel;
2 | using Newtonsoft.Json;
3 |
4 | namespace FunctionCallBridge
5 | {
6 | public class OpenAIRequest
7 | {
8 | public string model { get; set; }
9 | public List messages { get; set; }
10 |
11 | public double temperature { get; set; }
12 | public double top_p { get; set; }
13 | public bool stream { get; set; }
14 | public int max_tokens { get; set; }
15 | public double presence_penalty { get; set; }
16 | public double frequency_penalty { get; set; }
17 |
18 | public ResponseFormat? response_format { get; set; }
19 | public List? tools { get; set; }
20 | }
21 |
22 | public class ResponseFormat
23 | {
24 | public string type { get; set; }
25 | }
26 |
27 | public class Message
28 | {
29 | public string role { get; set; }
30 | public string? content { get; set; }
31 |
32 | public List? tool_calls { get; set; }
33 | }
34 |
35 | public class Tool
36 | {
37 | public string type { get; set; }
38 | public Function function { get; set; }
39 | }
40 |
41 | public class Function
42 | {
43 | public string name { get; set; }
44 | public string description { get; set; }
45 | public Parameters parameters { get; set; }
46 | }
47 |
48 | public class Parameters
49 | {
50 | public string type { get; set; }
51 | public Properties? properties { get; set; }
52 | public List required { get; set; }
53 | }
54 |
55 | public class Properties
56 | {
57 | public Location? location { get; set; }
58 | public Unit? unit { get; set; }
59 | }
60 |
61 | public class Location
62 | {
63 | public string type { get; set; }
64 | public string description { get; set; }
65 | }
66 |
67 | public class Unit
68 | {
69 | public string type { get; set; }
70 | public List Enum { get; set; }
71 | }
72 |
73 | }
74 |
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/FunctionCallBridge/Program.cs:
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1 | using FunctionCallBridge.OpenAIModel;
2 |
3 | var builder = WebApplication.CreateBuilder(args);
4 |
5 | // Add services to the container.
6 |
7 | builder.Services.AddControllers();
8 | // Learn more about configuring Swagger/OpenAPI at https://aka.ms/aspnetcore/swashbuckle
9 | builder.Services.AddEndpointsApiExplorer();
10 | builder.Services.AddSwaggerGen();
11 | builder.Configuration.GetSection("AIOption").Get();
12 |
13 |
14 | var app = builder.Build();
15 |
16 | // Configure the HTTP request pipeline.
17 | if (app.Environment.IsDevelopment())
18 | {
19 | app.UseSwagger();
20 | app.UseSwaggerUI();
21 | }
22 |
23 | //app.UseHttpsRedirection();
24 |
25 | app.UseAuthorization();
26 |
27 | app.MapControllers();
28 | Console.WriteLine("FunctionCallBridge 是一个针对deepseek-r1 小参数进行函数调用 与json格式转换的桥接工具,联系作者微信:xuzeyu91");
29 | Console.WriteLine();
30 | app.Run();
31 |
32 |
33 |
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/FunctionCallBridge/Properties/launchSettings.json:
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1 | {
2 | "$schema": "http://json.schemastore.org/launchsettings.json",
3 | "iisSettings": {
4 | "windowsAuthentication": false,
5 | "anonymousAuthentication": true,
6 | "iisExpress": {
7 | "applicationUrl": "http://localhost:55400",
8 | "sslPort": 44398
9 | }
10 | },
11 | "profiles": {
12 | "http": {
13 | "commandName": "Project",
14 | "dotnetRunMessages": true,
15 | "launchBrowser": true,
16 | "launchUrl": "swagger",
17 | "applicationUrl": "http://localhost:5087",
18 | "environmentVariables": {
19 | "ASPNETCORE_ENVIRONMENT": "Development"
20 | }
21 | },
22 | "https": {
23 | "commandName": "Project",
24 | "dotnetRunMessages": true,
25 | "launchBrowser": true,
26 | "launchUrl": "swagger",
27 | "applicationUrl": "https://localhost:7218;http://localhost:5087",
28 | "environmentVariables": {
29 | "ASPNETCORE_ENVIRONMENT": "Development"
30 | }
31 | },
32 | "IIS Express": {
33 | "commandName": "IISExpress",
34 | "launchBrowser": true,
35 | "launchUrl": "swagger",
36 | "environmentVariables": {
37 | "ASPNETCORE_ENVIRONMENT": "Development"
38 | }
39 | }
40 | }
41 | }
42 |
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/FunctionCallBridge/appsettings.Development.json:
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1 | {
2 | "Logging": {
3 | "LogLevel": {
4 | "Default": "Information",
5 | "Microsoft.AspNetCore": "Warning"
6 | }
7 | },
8 | "urls": "http://*:5000",
9 | "AIOption": {
10 | "EndPoint": "http://localhost:11434/v1/chat/completions"
11 | }
12 | }
13 |
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/FunctionCallBridge/appsettings.json:
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1 | {
2 | "Logging": {
3 | "LogLevel": {
4 | "Default": "Information",
5 | "Microsoft.AspNetCore": "Warning"
6 | }
7 | },
8 | "AllowedHosts": "*",
9 | "urls": "http://*:5000",
10 | "AIOption": {
11 | "EndPoint": "http://localhost:11434/v1/chat/completions"
12 | }
13 | }
14 |
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/README.md:
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1 | # FunctionCallBridge 是一款让不支持function call的模型通过提示词方式支持兼容function call格式的桥接插件。
2 |
3 | 把原有ollama 接口http://localhost:11434/v1/chat/completions 替换为调用
4 |
5 | FunctionCallBridge 的http://localhost:5000/v1/chat/completions
6 |
7 | 即可实现 json_object 和function call的能力。提示词可根据模型情况调整
8 |
9 | 对deepseek-r1:7b 和14b进行过测试,但是不同函数需要针对提示词修改效果更佳
10 |
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