Add co-author

Co-authored-by: Evelyn-Liux <[email protected]>

Author: dxpython

samples/AdvancedFeaturesDemo/Program.cs

@@ -12,7 +12,7 @@
 Console.WriteLine("=".PadRight(50, '='));
 
 // Using DeepSeek API
-var client = LLMClientFactory.CreateDeepSeek("YOUR_API_KEY");
+var client = LLMClientFactory.CreateDeepSeek("sk-e164311ef7914e46a5d760c505714b94");
 
 // ============================================================
 // 1. Chain Module - LCEL Style Composition

samples/AgentDemo/Program.cs

@@ -4,7 +4,7 @@
 Console.WriteLine("=== SharpAIKit Agent Demo (DeepSeek) ===\n");
 
 // Use DeepSeek API
-var client = LLMClientFactory.CreateDeepSeek("YOUR_API_KEY");
+var client = LLMClientFactory.CreateDeepSeek("sk-e164311ef7914e46a5d760c505714b94");
 
 // Create AI Agent
 var agent = new AiAgent(client);

samples/ChatDemo/Program.cs

@@ -3,7 +3,7 @@
 Console.WriteLine("=== SharpAIKit DeepSeek Demo ===\n");
 
 // Use DeepSeek API
-var client = LLMClientFactory.CreateDeepSeek("YOUR_API_KEY");
+var client = LLMClientFactory.CreateDeepSeek("sk-e164311ef7914e46a5d760c505714b94");
 
 try
 {

samples/KillerFeaturesDemo/Program.cs

@@ -8,7 +8,7 @@
 Console.WriteLine("=".PadRight(60, '='));
 
 // Use DeepSeek API
-var client = LLMClientFactory.CreateDeepSeek("YOUR_API_KEY");
+var client = LLMClientFactory.CreateDeepSeek("sk-e164311ef7914e46a5d760c505714b94");
 
 // ============================================================
 // 1. 🔮 Native C# Code Interpreter

samples/RAGDemo/Program.cs

@@ -4,7 +4,7 @@
 Console.WriteLine("=== SharpAIKit RAG Demo (DeepSeek) ===\n");
 
 // Use DeepSeek API
-var client = LLMClientFactory.CreateDeepSeek("YOUR_API_KEY");
+var client = LLMClientFactory.CreateDeepSeek("sk-e164311ef7914e46a5d760c505714b94");
 
 // Create RAG Engine
 var rag = new RagEngine(client);
@@ -13,6 +13,7 @@
 {
     // Example 1: Index Content Directly
     Console.WriteLine("[Example 1: Index Content]");
+    Console.WriteLine("Indexing content...");
 
     var sampleContent = """
         Bone and Joint Infection Treatment Guidelines

src/SharpAIKit/README.md

@@ -0,0 +1,121 @@
+# SharpAIKit
+
+A unified .NET large-model application and agentic AI development framework.
+
+## Overview
+
+SharpAIKit is a comprehensive AI/LLM toolkit for .NET that provides a unified interface for working with large language models, building AI agents, and implementing RAG (Retrieval-Augmented Generation) applications. It's designed to be more powerful and simpler than LangChain, with killer features that leverage the .NET ecosystem.
+
+## Key Features
+
+### Core Capabilities
+- **Unified LLM Interface** - One API for all OpenAI-compatible models
+- **LCEL-style Chains** - Elegant chain composition with pipe operators
+- **Multiple Memory Strategies** - Buffer, Window, Summary, Vector, and Entity memory
+- **Advanced Agents** - ReAct, Plan-and-Execute, and Multi-Agent systems
+- **RAG Engine** - Built-in document indexing and intelligent Q&A
+- **Full Observability** - Console, logging, metrics, and file tracing
+
+### Killer Features Beyond LangChain
+- **🔮 Native C# Code Interpreter** - Execute C# code directly using Roslyn, no Python needed
+- **🕸️ SharpGraph** - Graph-based orchestration with FSM, supports loops and complex branches
+- **🧬 DSPy-style Optimizer** - Automatically optimize prompts through iterative improvement
+
+## Installation
+
+```bash
+dotnet add package SharpAIKit
+```
+
+## Quick Start
+
+```csharp
+using SharpAIKit.LLM;
+
+// Create a client for any OpenAI-compatible API
+var client = LLMClientFactory.Create(
+    apiKey: "your-api-key",
+    baseUrl: "https://api.deepseek.com/v1",
+    model: "deepseek-chat"
+);
+
+// Simple chat
+var response = await client.ChatAsync("Hello!");
+Console.WriteLine(response);
+
+// Streaming output
+await foreach (var chunk in client.ChatStreamAsync("Tell me a story"))
+{
+    Console.Write(chunk);
+}
+```
+
+## Supported LLM Providers
+
+SharpAIKit supports all OpenAI-compatible APIs, including:
+
+- OpenAI
+- DeepSeek
+- Qwen (Alibaba)
+- Mistral
+- Yi (01.AI)
+- Groq
+- Moonshot (Kimi)
+- Zhipu GLM
+- Ollama (Local)
+- Any custom OpenAI-compatible endpoint
+
+## Example: Code Interpreter
+
+```csharp
+using SharpAIKit.CodeInterpreter;
+
+var interpreter = new RoslynCodeInterpreter();
+var result = await interpreter.ExecuteAsync<double>("Math.Pow(3, 5)");
+Console.WriteLine($"3^5 = {result}");  // Output: 243
+```
+
+## Example: Graph Orchestration
+
+```csharp
+using SharpAIKit.Graph;
+
+var graph = new SharpGraphBuilder("start")
+    .Node("start", async state => {
+        state.NextNode = "process";
+        return state;
+    })
+    .Node("process", async state => {
+        state.Output = "Done";
+        state.ShouldEnd = true;
+        return state;
+    })
+    .Build();
+
+var result = await graph.ExecuteAsync();
+```
+
+## Example: Prompt Optimization
+
+```csharp
+using SharpAIKit.Optimizer;
+
+var optimizer = new DSPyOptimizer(client)
+    .AddExample("What is C#?", "C# is an object-oriented programming language...")
+    .SetMetric(Metrics.Contains);
+
+var result = await optimizer.OptimizeAsync("Answer: {input}");
+Console.WriteLine(result.OptimizedPrompt);
+```
+
+## Documentation
+
+For detailed documentation and examples, visit:
+- [GitHub Repository](https://github.com/dxpython/SharpAIKit)
+- [English Documentation](https://github.com/dxpython/SharpAIKit/blob/main/README_EN.md)
+- [中文文档](https://github.com/dxpython/SharpAIKit/blob/main/README_CN.md)
+
+## License
+
+This project is licensed under the MIT License - see the [LICENSE](https://github.com/dxpython/SharpAIKit/blob/main/LICENSE) file for details.
+

src/SharpAIKit/SharpAIKit.csproj

@@ -4,14 +4,28 @@
     <TargetFramework>net8.0</TargetFramework>
     <ImplicitUsings>enable</ImplicitUsings>
     <Nullable>enable</Nullable>
+    
+    <!-- NuGet Package Metadata -->
     <PackageId>SharpAIKit</PackageId>
-    <Version>1.0.0</Version>
-    <Authors>SharpAIKit Contributors</Authors>
-    <Description>A unified AI/LLM toolkit supporting OpenAI, Ollama, LM Studio with built-in RAG engine and AI Agent</Description>
-    <PackageTags>AI;LLM;OpenAI;Ollama;RAG;Agent;ChatGPT</PackageTags>
-    <RepositoryUrl>https://github.com/yourusername/SharpAIKit</RepositoryUrl>
+    <Version>0.1.0</Version>
+    <Authors>Dustin Dong</Authors>
+    <Company>SharpAIKit</Company>
     <PackageLicenseExpression>MIT</PackageLicenseExpression>
+    <PackageProjectUrl>https://github.com/dxpython/SharpAIKit</PackageProjectUrl>
+    <RepositoryUrl>https://github.com/dxpython/SharpAIKit.git</RepositoryUrl>
+    <RepositoryType>git</RepositoryType>
+    <Description>A unified .NET large-model application and agentic AI development framework.</Description>
+    <PackageReadmeFile>README.md</PackageReadmeFile>
+    <PackageTags>AI;LLM;Agent;RAG;DSPy;.NET</PackageTags>
+    
+    <!-- Package Generation Settings -->
+    <GeneratePackageOnBuild>true</GeneratePackageOnBuild>
+    <IncludeSymbols>true</IncludeSymbols>
+    <SymbolPackageFormat>snupkg</SymbolPackageFormat>
+    
+    <!-- Documentation -->
     <GenerateDocumentationFile>true</GenerateDocumentationFile>
+    <NoWarn>$(NoWarn);1591</NoWarn>
   </PropertyGroup>
 
   <ItemGroup>
@@ -24,5 +38,8 @@
     <PackageReference Include="Microsoft.CodeAnalysis.Scripting" Version="4.8.0" />
   </ItemGroup>
 
-</Project>
+  <ItemGroup>
+    <None Include="README.md" Pack="true" PackagePath="\" />
+  </ItemGroup>
 
+</Project>

tests/SharpAIKit.Tests/Agent/CalculatorToolTests.cs

@@ -38,6 +38,7 @@ public void Calculate_InvalidExpression_ReturnsError()
 
         // Assert
         Assert.Contains("error", result.ToLower());
+        
     }
 
     [Fact]