mirror of
https://github.com/microsoft/agent-framework.git
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Merge branch 'main' into feature-foundry-agents
This commit is contained in:
Chris
@@ -0,0 +1,9 @@
|
||||
# Agent Framework Retrieval Augmented Generation (RAG)
|
||||
|
||||
These samples show how to create an agent with the Agent Framework that uses Memory to remember previous conversations or facts from previous conversations.
|
||||
|
||||
|Sample|Description|
|
||||
|---|---|
|
||||
|[Chat History memory](./AgentWithMemory_Step01_ChatHistoryMemory/)|This sample demonstrates how to enable an agent to remember messages from previous conversations.|
|
||||
|[Memory with MemoryStore](./AgentWithMemory_Step02_MemoryUsingMem0/)|This sample demonstrates how to create and run an agent that uses the Mem0 service to extract and retrieve individual memories.|
|
||||
|[Custom Memory Implementation](./AgentWithMemory_Step03_CustomMemory/)|This sample demonstrates how to create a custom memory component and attach it to an agent.|
|
||||
+1
-1
@@ -1,6 +1,6 @@
|
||||
// Copyright (c) Microsoft. All rights reserved.
|
||||
|
||||
// This sample shows how to use Qdrant to add retrieval augmented generation (RAG) capabilities to an AI agent.
|
||||
// This sample shows how to use Qdrant with a custom schema to add retrieval augmented generation (RAG) capabilities to an AI agent.
|
||||
// While the sample is using Qdrant, it can easily be replaced with any other vector store that implements the Microsoft.Extensions.VectorData abstractions.
|
||||
// The TextSearchProvider runs a search against the vector store before each model invocation and injects the results into the model context.
|
||||
|
||||
+3
-3
@@ -1,11 +1,11 @@
|
||||
// Copyright (c) Microsoft. All rights reserved.
|
||||
|
||||
// This sample shows how to use TextSearchProvider to add retrieval augmented generation (RAG)
|
||||
// capabilities to an AI agent. The provider runs a search against an external knowledge base
|
||||
// capabilities to an AI agent. This shows a mock implementation of a search function,
|
||||
// which can be replaced with any custom search logic to query any external knowledge base.
|
||||
// The provider invokes the custom search function
|
||||
// before each model invocation and injects the results into the model context.
|
||||
|
||||
// Also see the AgentWithRAG folder for more advanced RAG scenarios.
|
||||
|
||||
using Azure.AI.OpenAI;
|
||||
using Azure.Identity;
|
||||
using Microsoft.Agents.AI;
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||||
@@ -5,4 +5,5 @@ These samples show how to create an agent with the Agent Framework that uses Ret
|
||||
|Sample|Description|
|
||||
|---|---|
|
||||
|[Basic Text RAG](./AgentWithRAG_Step01_BasicTextRAG/)|This sample demonstrates how to create and run a basic agent with simple text Retrieval Augmented Generation (RAG).|
|
||||
|[RAG with external Vector Store and custom schema](./AgentWithRAG_Step02_ExternalDataSourceRAG/)|This sample demonstrates how to create and run an agent that uses Retrieval Augmented Generation (RAG) with an external vector store. It also uses a custom schema for the documents stored in the vector store.|
|
||||
|[RAG with Vector Store and custom schema](./AgentWithRAG_Step02_CustomVectorStoreRAG/)|This sample demonstrates how to create and run an agent that uses Retrieval Augmented Generation (RAG) with a vector store. It also uses a custom schema for the documents stored in the vector store.|
|
||||
|[RAG with custom RAG data source](./AgentWithRAG_Step03_CustomRAGDataSource/)|This sample demonstrates how to create and run an agent that uses Retrieval Augmented Generation (RAG) with a custom RAG data source.|
|
||||
|
||||
-28
@@ -1,28 +0,0 @@
|
||||
<Project Sdk="Microsoft.NET.Sdk">
|
||||
|
||||
<PropertyGroup>
|
||||
<OutputType>Exe</OutputType>
|
||||
<TargetFramework>net9.0</TargetFramework>
|
||||
|
||||
<Nullable>enable</Nullable>
|
||||
<ImplicitUsings>enable</ImplicitUsings>
|
||||
</PropertyGroup>
|
||||
|
||||
<ItemGroup>
|
||||
<PackageReference Include="Azure.AI.OpenAI" />
|
||||
<PackageReference Include="Azure.Identity" />
|
||||
<PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
|
||||
<PackageReference Include="Microsoft.SemanticKernel.Plugins.OpenApi" />
|
||||
</ItemGroup>
|
||||
|
||||
<ItemGroup>
|
||||
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
|
||||
</ItemGroup>
|
||||
|
||||
<ItemGroup>
|
||||
<None Update="OpenAPISpec.json">
|
||||
<CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
|
||||
</None>
|
||||
</ItemGroup>
|
||||
|
||||
</Project>
|
||||
-354
@@ -1,354 +0,0 @@
|
||||
{
|
||||
"openapi": "3.0.1",
|
||||
"info": {
|
||||
"title": "Github Versions API",
|
||||
"version": "1.0.0"
|
||||
},
|
||||
"servers": [
|
||||
{
|
||||
"url": "https://api.github.com"
|
||||
}
|
||||
],
|
||||
"components": {
|
||||
"schemas": {
|
||||
"basic-error": {
|
||||
"title": "Basic Error",
|
||||
"description": "Basic Error",
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"message": {
|
||||
"type": "string"
|
||||
},
|
||||
"documentation_url": {
|
||||
"type": "string"
|
||||
},
|
||||
"url": {
|
||||
"type": "string"
|
||||
},
|
||||
"status": {
|
||||
"type": "string"
|
||||
}
|
||||
}
|
||||
},
|
||||
"label": {
|
||||
"title": "Label",
|
||||
"description": "Color-coded labels help you categorize and filter your issues (just like labels in Gmail).",
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"id": {
|
||||
"description": "Unique identifier for the label.",
|
||||
"type": "integer",
|
||||
"format": "int64",
|
||||
"example": 208045946
|
||||
},
|
||||
"node_id": {
|
||||
"type": "string",
|
||||
"example": "MDU6TGFiZWwyMDgwNDU5NDY="
|
||||
},
|
||||
"url": {
|
||||
"description": "URL for the label",
|
||||
"example": "https://api.github.com/repositories/42/labels/bug",
|
||||
"type": "string",
|
||||
"format": "uri"
|
||||
},
|
||||
"name": {
|
||||
"description": "The name of the label.",
|
||||
"example": "bug",
|
||||
"type": "string"
|
||||
},
|
||||
"description": {
|
||||
"description": "Optional description of the label, such as its purpose.",
|
||||
"type": "string",
|
||||
"example": "Something isn't working",
|
||||
"nullable": true
|
||||
},
|
||||
"color": {
|
||||
"description": "6-character hex code, without the leading #, identifying the color",
|
||||
"example": "FFFFFF",
|
||||
"type": "string"
|
||||
},
|
||||
"default": {
|
||||
"description": "Whether this label comes by default in a new repository.",
|
||||
"type": "boolean",
|
||||
"example": true
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"id",
|
||||
"node_id",
|
||||
"url",
|
||||
"name",
|
||||
"description",
|
||||
"color",
|
||||
"default"
|
||||
]
|
||||
},
|
||||
"tag": {
|
||||
"title": "Tag",
|
||||
"description": "Tag",
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"name": {
|
||||
"type": "string",
|
||||
"example": "v0.1"
|
||||
},
|
||||
"commit": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"sha": {
|
||||
"type": "string"
|
||||
},
|
||||
"url": {
|
||||
"type": "string",
|
||||
"format": "uri"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"sha",
|
||||
"url"
|
||||
]
|
||||
},
|
||||
"zipball_url": {
|
||||
"type": "string",
|
||||
"format": "uri",
|
||||
"example": "https://github.com/octocat/Hello-World/zipball/v0.1"
|
||||
},
|
||||
"tarball_url": {
|
||||
"type": "string",
|
||||
"format": "uri",
|
||||
"example": "https://github.com/octocat/Hello-World/tarball/v0.1"
|
||||
},
|
||||
"node_id": {
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"name",
|
||||
"node_id",
|
||||
"commit",
|
||||
"zipball_url",
|
||||
"tarball_url"
|
||||
]
|
||||
}
|
||||
},
|
||||
"examples": {
|
||||
"label-items": {
|
||||
"value": [
|
||||
{
|
||||
"id": 208045946,
|
||||
"node_id": "MDU6TGFiZWwyMDgwNDU5NDY=",
|
||||
"url": "https://api.github.com/repos/octocat/Hello-World/labels/bug",
|
||||
"name": "bug",
|
||||
"description": "Something isn't working",
|
||||
"color": "f29513",
|
||||
"default": true
|
||||
},
|
||||
{
|
||||
"id": 208045947,
|
||||
"node_id": "MDU6TGFiZWwyMDgwNDU5NDc=",
|
||||
"url": "https://api.github.com/repos/octocat/Hello-World/labels/enhancement",
|
||||
"name": "enhancement",
|
||||
"description": "New feature or request",
|
||||
"color": "a2eeef",
|
||||
"default": false
|
||||
}
|
||||
]
|
||||
},
|
||||
"tag-items": {
|
||||
"value": [
|
||||
{
|
||||
"name": "v0.1",
|
||||
"commit": {
|
||||
"sha": "c5b97d5ae6c19d5c5df71a34c7fbeeda2479ccbc",
|
||||
"url": "https://api.github.com/repos/octocat/Hello-World/commits/c5b97d5ae6c19d5c5df71a34c7fbeeda2479ccbc"
|
||||
},
|
||||
"zipball_url": "https://github.com/octocat/Hello-World/zipball/v0.1",
|
||||
"tarball_url": "https://github.com/octocat/Hello-World/tarball/v0.1",
|
||||
"node_id": "MDQ6VXNlcjE="
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
"parameters": {
|
||||
"owner": {
|
||||
"name": "owner",
|
||||
"description": "The account owner of the repository. The name is not case sensitive.",
|
||||
"in": "path",
|
||||
"required": true,
|
||||
"schema": {
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
"repo": {
|
||||
"name": "repo",
|
||||
"description": "The name of the repository without the `.git` extension. The name is not case sensitive.",
|
||||
"in": "path",
|
||||
"required": true,
|
||||
"schema": {
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
"per-page": {
|
||||
"name": "per_page",
|
||||
"description": "The number of results per page (max 100). For more information, see \"[Using pagination in the REST API](https://docs.github.com/rest/using-the-rest-api/using-pagination-in-the-rest-api).\"",
|
||||
"in": "query",
|
||||
"schema": {
|
||||
"type": "integer",
|
||||
"default": 30
|
||||
}
|
||||
},
|
||||
"page": {
|
||||
"name": "page",
|
||||
"description": "The page number of the results to fetch. For more information, see \"[Using pagination in the REST API](https://docs.github.com/rest/using-the-rest-api/using-pagination-in-the-rest-api).\"",
|
||||
"in": "query",
|
||||
"schema": {
|
||||
"type": "integer",
|
||||
"default": 1
|
||||
}
|
||||
}
|
||||
},
|
||||
"responses": {
|
||||
"not_found": {
|
||||
"description": "Resource not found",
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/basic-error"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"headers": {
|
||||
"link": {
|
||||
"example": "<https://api.github.com/resource?page=2>; rel=\"next\", <https://api.github.com/resource?page=5>; rel=\"last\"",
|
||||
"schema": {
|
||||
"type": "string"
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"paths": {
|
||||
"/repos/{owner}/{repo}/tags": {
|
||||
"get": {
|
||||
"summary": "List repository tags",
|
||||
"description": "",
|
||||
"tags": [
|
||||
"repos"
|
||||
],
|
||||
"operationId": "repos/list-tags",
|
||||
"externalDocs": {
|
||||
"description": "API method documentation",
|
||||
"url": "https://docs.github.com/rest/repos/repos#list-repository-tags"
|
||||
},
|
||||
"parameters": [
|
||||
{
|
||||
"$ref": "#/components/parameters/owner"
|
||||
},
|
||||
{
|
||||
"$ref": "#/components/parameters/repo"
|
||||
},
|
||||
{
|
||||
"$ref": "#/components/parameters/per-page"
|
||||
},
|
||||
{
|
||||
"$ref": "#/components/parameters/page"
|
||||
}
|
||||
],
|
||||
"responses": {
|
||||
"200": {
|
||||
"description": "Response",
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/tag"
|
||||
}
|
||||
},
|
||||
"examples": {
|
||||
"default": {
|
||||
"$ref": "#/components/examples/tag-items"
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"headers": {
|
||||
"Link": {
|
||||
"$ref": "#/components/headers/link"
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"x-github": {
|
||||
"githubCloudOnly": false,
|
||||
"enabledForGitHubApps": true,
|
||||
"category": "repos",
|
||||
"subcategory": "repos"
|
||||
}
|
||||
}
|
||||
},
|
||||
"/repos/{owner}/{repo}/labels": {
|
||||
"get": {
|
||||
"summary": "List labels for a repository",
|
||||
"description": "Lists all labels for a repository.",
|
||||
"tags": [
|
||||
"issues"
|
||||
],
|
||||
"operationId": "issues/list-labels-for-repo",
|
||||
"externalDocs": {
|
||||
"description": "API method documentation",
|
||||
"url": "https://docs.github.com/rest/issues/labels#list-labels-for-a-repository"
|
||||
},
|
||||
"parameters": [
|
||||
{
|
||||
"$ref": "#/components/parameters/owner"
|
||||
},
|
||||
{
|
||||
"$ref": "#/components/parameters/repo"
|
||||
},
|
||||
{
|
||||
"$ref": "#/components/parameters/per-page"
|
||||
},
|
||||
{
|
||||
"$ref": "#/components/parameters/page"
|
||||
}
|
||||
],
|
||||
"responses": {
|
||||
"200": {
|
||||
"description": "Response",
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/label"
|
||||
}
|
||||
},
|
||||
"examples": {
|
||||
"default": {
|
||||
"$ref": "#/components/examples/label-items"
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"headers": {
|
||||
"Link": {
|
||||
"$ref": "#/components/headers/link"
|
||||
}
|
||||
}
|
||||
},
|
||||
"404": {
|
||||
"$ref": "#/components/responses/not_found"
|
||||
}
|
||||
},
|
||||
"x-github": {
|
||||
"githubCloudOnly": false,
|
||||
"enabledForGitHubApps": true,
|
||||
"category": "issues",
|
||||
"subcategory": "labels"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
-33
@@ -1,33 +0,0 @@
|
||||
// Copyright (c) Microsoft. All rights reserved.
|
||||
|
||||
// This sample demonstrates how to use a ChatClientAgent with function tools provided via an OpenAPI spec.
|
||||
// It uses functionality from Semantic Kernel to parse the OpenAPI spec and create function tools to use with the Agent Framework Agent.
|
||||
|
||||
using Azure.AI.OpenAI;
|
||||
using Azure.Identity;
|
||||
using Microsoft.Agents.AI;
|
||||
using Microsoft.Extensions.AI;
|
||||
using Microsoft.SemanticKernel;
|
||||
using Microsoft.SemanticKernel.Plugins.OpenApi;
|
||||
using OpenAI;
|
||||
|
||||
var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
|
||||
var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
|
||||
|
||||
// Load the OpenAPI Spec from a file.
|
||||
KernelPlugin plugin = await OpenApiKernelPluginFactory.CreateFromOpenApiAsync("github", "OpenAPISpec.json");
|
||||
|
||||
// Convert the Semantic Kernel plugin to Agent Framework function tools.
|
||||
// This requires a dummy Kernel instance, since KernelFunctions cannot execute without one.
|
||||
Kernel kernel = new();
|
||||
List<AITool> tools = plugin.Select(x => x.WithKernel(kernel)).Cast<AITool>().ToList();
|
||||
|
||||
// Create the chat client and agent, and provide the OpenAPI function tools to the agent.
|
||||
AIAgent agent = new AzureOpenAIClient(
|
||||
new Uri(endpoint),
|
||||
new AzureCliCredential())
|
||||
.GetChatClient(deploymentName)
|
||||
.CreateAIAgent(instructions: "You are a helpful assistant", tools: tools);
|
||||
|
||||
// Run the agent with the OpenAPI function tools.
|
||||
Console.WriteLine(await agent.RunAsync("Please list the names, colors and descriptions of all the labels available in the microsoft/agent-framework repository on github."));
|
||||
@@ -28,8 +28,8 @@ Before you begin, ensure you have the following prerequisites:
|
||||
|---|---|
|
||||
|[Running a simple agent](./Agent_Step01_Running/)|This sample demonstrates how to create and run a basic agent with instructions|
|
||||
|[Multi-turn conversation with a simple agent](./Agent_Step02_MultiturnConversation/)|This sample demonstrates how to implement a multi-turn conversation with a simple agent|
|
||||
|[Using function tools with a simple agent](./Agent_Step03.1_UsingFunctionTools/)|This sample demonstrates how to use function tools with a simple agent|
|
||||
|[Using OpenAPI function tools with a simple agent](./Agent_Step03.2_UsingFunctionTools_FromOpenAPI/)|This sample demonstrates how to create function tools from an OpenAPI spec and use them with a simple agent|
|
||||
|[Using function tools with a simple agent](./Agent_Step03_UsingFunctionTools/)|This sample demonstrates how to use function tools with a simple agent|
|
||||
|[Using OpenAPI function tools with a simple agent](https://github.com/microsoft/semantic-kernel/tree/main/dotnet/samples/AgentFrameworkMigration/AzureOpenAI/Step04_ToolCall_WithOpenAPI)|This sample demonstrates how to create function tools from an OpenAPI spec and use them with a simple agent (note that this sample is in the Semantic Kernel repository)|
|
||||
|[Using function tools with approvals](./Agent_Step04_UsingFunctionToolsWithApprovals/)|This sample demonstrates how to use function tools where approvals require human in the loop approvals before execution|
|
||||
|[Structured output with a simple agent](./Agent_Step05_StructuredOutput/)|This sample demonstrates how to use structured output with a simple agent|
|
||||
|[Persisted conversations with a simple agent](./Agent_Step06_PersistedConversations/)|This sample demonstrates how to persist conversations and reload them later. This is useful for cases where an agent is hosted in a stateless service|
|
||||
@@ -39,14 +39,11 @@ Before you begin, ensure you have the following prerequisites:
|
||||
|[Exposing a simple agent as MCP tool](./Agent_Step10_AsMcpTool/)|This sample demonstrates how to expose an agent as an MCP tool|
|
||||
|[Using images with a simple agent](./Agent_Step11_UsingImages/)|This sample demonstrates how to use image multi-modality with an AI agent|
|
||||
|[Exposing a simple agent as a function tool](./Agent_Step12_AsFunctionTool/)|This sample demonstrates how to expose an agent as a function tool|
|
||||
|[Using memory with an agent](./Agent_Step13_Memory/)|This sample demonstrates how to create a simple memory component and use it with an agent|
|
||||
|[Background responses with tools and persistence](./Agent_Step13_BackgroundResponsesWithToolsAndPersistence/)|This sample demonstrates advanced background response scenarios including function calling during background operations and state persistence|
|
||||
|[Using middleware with an agent](./Agent_Step14_Middleware/)|This sample demonstrates how to use middleware with an agent|
|
||||
|[Using plugins with an agent](./Agent_Step15_Plugins/)|This sample demonstrates how to use plugins with an agent|
|
||||
|[Reducing chat history size](./Agent_Step16_ChatReduction/)|This sample demonstrates how to reduce the chat history to constrain its size, where chat history is maintained locally|
|
||||
|[Background responses](./Agent_Step17_BackgroundResponses/)|This sample demonstrates how to use background responses for long-running operations with polling and resumption support|
|
||||
|[Adding RAG with text search](./Agent_Step18_TextSearchRag/)|This sample demonstrates how to enrich agent responses with retrieval augmented generation using the text search provider|
|
||||
|[Using Mem0-backed memory](./Agent_Step19_Mem0Provider/)|This sample demonstrates how to use the Mem0Provider to persist and recall memories across conversations|
|
||||
|[Background responses with tools and persistence](./Agent_Step20_BackgroundResponsesWithToolsAndPersistence/)|This sample demonstrates advanced background response scenarios including function calling during background operations and state persistence|
|
||||
|
||||
## Running the samples from the console
|
||||
|
||||
|
||||
@@ -64,13 +64,14 @@ internal static class Program
|
||||
return AgentWorkflowBuilder.BuildSequential(workflowName: key, agents: agents);
|
||||
}).AddAsAIAgent();
|
||||
|
||||
if (builder.Environment.IsDevelopment())
|
||||
{
|
||||
builder.AddDevUI();
|
||||
}
|
||||
builder.Services.AddOpenAIResponses();
|
||||
builder.Services.AddOpenAIConversations();
|
||||
|
||||
var app = builder.Build();
|
||||
|
||||
app.MapOpenAIResponses();
|
||||
app.MapOpenAIConversations();
|
||||
|
||||
if (builder.Environment.IsDevelopment())
|
||||
{
|
||||
app.MapDevUI();
|
||||
|
||||
+13
@@ -0,0 +1,13 @@
|
||||
{
|
||||
"profiles": {
|
||||
"DevUI_Step01_BasicUsage": {
|
||||
"commandName": "Project",
|
||||
"launchUrl": "devui",
|
||||
"launchBrowser": true,
|
||||
"environmentVariables": {
|
||||
"ASPNETCORE_ENVIRONMENT": "Development"
|
||||
},
|
||||
"applicationUrl": "https://localhost:50516;http://localhost:50518"
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -63,17 +63,23 @@ To add DevUI to your ASP.NET Core application:
|
||||
.AddAsAIAgent();
|
||||
```
|
||||
|
||||
3. Add DevUI services and map the endpoint:
|
||||
3. Add OpenAI services and map the endpoints for OpenAI and DevUI:
|
||||
```csharp
|
||||
builder.AddDevUI();
|
||||
// Register services for OpenAI responses and conversations (also required for DevUI)
|
||||
builder.Services.AddOpenAIResponses();
|
||||
builder.Services.AddOpenAIConversations();
|
||||
|
||||
var app = builder.Build();
|
||||
|
||||
app.MapDevUI();
|
||||
|
||||
// Add required endpoints
|
||||
app.MapEntities();
|
||||
|
||||
// Map endpoints for OpenAI responses and conversations (also required for DevUI)
|
||||
app.MapOpenAIResponses();
|
||||
app.MapOpenAIConversations();
|
||||
|
||||
if (builder.Environment.IsDevelopment())
|
||||
{
|
||||
// Map DevUI endpoint to /devui
|
||||
app.MapDevUI();
|
||||
}
|
||||
|
||||
app.Run();
|
||||
```
|
||||
|
||||
@@ -38,19 +38,22 @@ builder.Services.AddChatClient(chatClient);
|
||||
// Register your agents
|
||||
builder.AddAIAgent("my-agent", "You are a helpful assistant.");
|
||||
|
||||
// Add DevUI services
|
||||
builder.AddDevUI();
|
||||
// Register services for OpenAI responses and conversations (also required for DevUI)
|
||||
builder.Services.AddOpenAIResponses();
|
||||
builder.Services.AddOpenAIConversations();
|
||||
|
||||
var app = builder.Build();
|
||||
|
||||
// Map the DevUI endpoint
|
||||
app.MapDevUI();
|
||||
|
||||
// Add required endpoints
|
||||
app.MapEntities();
|
||||
// Map endpoints for OpenAI responses and conversations (also required for DevUI)
|
||||
app.MapOpenAIResponses();
|
||||
app.MapOpenAIConversations();
|
||||
|
||||
if (builder.Environment.IsDevelopment())
|
||||
{
|
||||
// Map DevUI endpoint to /devui
|
||||
app.MapDevUI();
|
||||
}
|
||||
|
||||
app.Run();
|
||||
```
|
||||
|
||||
|
||||
@@ -9,6 +9,8 @@ of the agent framework.
|
||||
|---|---|
|
||||
|[Agents](./Agents/README.md)|Step by step instructions for getting started with agents|
|
||||
|[Agent Providers](./AgentProviders/README.md)|Getting started with creating agents using various providers|
|
||||
|[Agents With Retrieval Augmented Generation (RAG)](./AgentWithRAG/README.md)|Adding Retrieval Augmented Generation (RAG) capabilities to your agents.|
|
||||
|[Agents With Memory](./AgentWithMemory/README.md)|Adding Memory capabilities to your agents.|
|
||||
|[A2A](./A2A/README.md)|Getting started with A2A (Agent-to-Agent) specific features|
|
||||
|[Agent Open Telemetry](./AgentOpenTelemetry/README.md)|Getting started with OpenTelemetry for agents|
|
||||
|[Agent With OpenAI exchange types](./AgentWithOpenAI/README.md)|Using OpenAI exchange types with agents|
|
||||
|
||||
Reference in New Issue
Block a user