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01_Chat.cs
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// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
#nullable disable
using Azure.Identity;
using OpenAI.Chat;
using System;
using System.Buffers;
using System.ClientModel;
using System.Collections.Generic;
using System.Diagnostics;
using System.Text;
using System.Text.Json;
namespace Azure.AI.OpenAI.Samples;
public partial class AzureOpenAISamples
{
public void BasicChat()
{
#region Snippet:SimpleChatResponse
AzureOpenAIClient azureClient = new(
new Uri("https://your-azure-openai-resource.com"),
new DefaultAzureCredential());
ChatClient chatClient = azureClient.GetChatClient("my-gpt-35-turbo-deployment");
ChatCompletion completion = chatClient.CompleteChat(
[
// System messages represent instructions or other guidance about how the assistant should behave
new SystemChatMessage("You are a helpful assistant that talks like a pirate."),
// User messages represent user input, whether historical or the most recent input
new UserChatMessage("Hi, can you help me?"),
// Assistant messages in a request represent conversation history for responses
new AssistantChatMessage("Arrr! Of course, me hearty! What can I do for ye?"),
new UserChatMessage("What's the best way to train a parrot?"),
]);
Console.WriteLine($"{completion.Role}: {completion.Content[0].Text}");
#endregion
}
public void StreamingChat()
{
#region Snippet:StreamChatMessages
AzureOpenAIClient azureClient = new(
new Uri("https://your-azure-openai-resource.com"),
new DefaultAzureCredential());
ChatClient chatClient = azureClient.GetChatClient("my-gpt-35-turbo-deployment");
CollectionResult<StreamingChatCompletionUpdate> completionUpdates = chatClient.CompleteChatStreaming(
[
new SystemChatMessage("You are a helpful assistant that talks like a pirate."),
new UserChatMessage("Hi, can you help me?"),
new AssistantChatMessage("Arrr! Of course, me hearty! What can I do for ye?"),
new UserChatMessage("What's the best way to train a parrot?"),
]);
foreach (StreamingChatCompletionUpdate completionUpdate in completionUpdates)
{
foreach (ChatMessageContentPart contentPart in completionUpdate.ContentUpdate)
{
Console.Write(contentPart.Text);
}
}
#endregion
}
public void ChatWithTools()
{
#region Snippet:ChatTools:DefineTool
static string GetCurrentLocation()
{
// Call the location API here.
return "San Francisco";
}
static string GetCurrentWeather(string location, string unit = "celsius")
{
// Call the weather API here.
return $"31 {unit}";
}
ChatTool getCurrentLocationTool = ChatTool.CreateFunctionTool(
functionName: nameof(GetCurrentLocation),
functionDescription: "Get the user's current location"
);
ChatTool getCurrentWeatherTool = ChatTool.CreateFunctionTool(
functionName: nameof(GetCurrentWeather),
functionDescription: "Get the current weather in a given location",
functionParameters: BinaryData.FromString("""
{
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. Boston, MA"
},
"unit": {
"type": "string",
"enum": [ "celsius", "fahrenheit" ],
"description": "The temperature unit to use. Infer this from the specified location."
}
},
"required": [ "location" ]
}
""")
);
#endregion
AzureOpenAIClient azureClient = new(
new Uri("https://your-azure-openai-resource.com"),
new DefaultAzureCredential());
ChatClient chatClient = azureClient.GetChatClient("my-gpt-35-turbo-deployment");
#region Snippet:ChatTools:RequestWithFunctions
ChatCompletionOptions options = new()
{
Tools = { getCurrentLocationTool, getCurrentWeatherTool },
};
List<ChatMessage> conversationMessages =
[
new UserChatMessage("What's the weather like in Boston?"),
];
ChatCompletion completion = chatClient.CompleteChat(conversationMessages);
#endregion
#region Snippet:ChatTools:HandleToolCalls
// Purely for convenience and clarity, this standalone local method handles tool call responses.
string GetToolCallContent(ChatToolCall toolCall)
{
if (toolCall.FunctionName == getCurrentWeatherTool.FunctionName)
{
// Validate arguments before using them; it's not always guaranteed to be valid JSON!
try
{
using JsonDocument argumentsDocument = JsonDocument.Parse(toolCall.FunctionArguments);
if (!argumentsDocument.RootElement.TryGetProperty("location", out JsonElement locationElement))
{
// Handle missing required "location" argument
}
else
{
string location = locationElement.GetString();
if (argumentsDocument.RootElement.TryGetProperty("unit", out JsonElement unitElement))
{
return GetCurrentWeather(location, unitElement.GetString());
}
else
{
return GetCurrentWeather(location);
}
}
}
catch (JsonException)
{
// Handle the JsonException (bad arguments) here
}
}
// Handle unexpected tool calls
throw new NotImplementedException();
}
if (completion.FinishReason == ChatFinishReason.ToolCalls)
{
// Add a new assistant message to the conversation history that includes the tool calls
conversationMessages.Add(new AssistantChatMessage(completion));
foreach (ChatToolCall toolCall in completion.ToolCalls)
{
conversationMessages.Add(new ToolChatMessage(toolCall.Id, GetToolCallContent(toolCall)));
}
// Now make a new request with all the messages thus far, including the original
}
#endregion
}
#region
public class StreamingChatToolCallsBuilder
{
private readonly Dictionary<int, string> _indexToToolCallId = [];
private readonly Dictionary<int, string> _indexToFunctionName = [];
private readonly Dictionary<int, SequenceBuilder<byte>> _indexToFunctionArguments = [];
public void Append(StreamingChatToolCallUpdate toolCallUpdate)
{
// Keep track of which tool call ID belongs to this update index.
if (toolCallUpdate.ToolCallId != null)
{
_indexToToolCallId[toolCallUpdate.Index] = toolCallUpdate.ToolCallId;
}
// Keep track of which function name belongs to this update index.
if (toolCallUpdate.FunctionName != null)
{
_indexToFunctionName[toolCallUpdate.Index] = toolCallUpdate.FunctionName;
}
// Keep track of which function arguments belong to this update index,
// and accumulate the arguments as new updates arrive.
if (toolCallUpdate.FunctionArgumentsUpdate != null && !toolCallUpdate.FunctionArgumentsUpdate.ToMemory().IsEmpty)
{
if (!_indexToFunctionArguments.TryGetValue(toolCallUpdate.Index, out SequenceBuilder<byte> argumentsBuilder))
{
argumentsBuilder = new SequenceBuilder<byte>();
_indexToFunctionArguments[toolCallUpdate.Index] = argumentsBuilder;
}
argumentsBuilder.Append(toolCallUpdate.FunctionArgumentsUpdate);
}
}
public IReadOnlyList<ChatToolCall> Build()
{
List<ChatToolCall> toolCalls = [];
foreach (KeyValuePair<int, string> indexToToolCallIdPair in _indexToToolCallId)
{
ReadOnlySequence<byte> sequence = _indexToFunctionArguments[indexToToolCallIdPair.Key].Build();
ChatToolCall toolCall = ChatToolCall.CreateFunctionToolCall(
id: indexToToolCallIdPair.Value,
functionName: _indexToFunctionName[indexToToolCallIdPair.Key],
functionArguments: BinaryData.FromBytes(sequence.ToArray()));
toolCalls.Add(toolCall);
}
return toolCalls;
}
}
#endregion
#region
public class SequenceBuilder<T>
{
private Segment _first;
private Segment _last;
public void Append(ReadOnlyMemory<T> data)
{
if (_first == null)
{
Debug.Assert(_last == null);
_first = new Segment(data);
_last = _first;
}
else
{
_last = _last!.Append(data);
}
}
public ReadOnlySequence<T> Build()
{
if (_first == null)
{
Debug.Assert(_last == null);
return ReadOnlySequence<T>.Empty;
}
if (_first == _last)
{
Debug.Assert(_first.Next == null);
return new ReadOnlySequence<T>(_first.Memory);
}
return new ReadOnlySequence<T>(_first, 0, _last!, _last!.Memory.Length);
}
private sealed class Segment : ReadOnlySequenceSegment<T>
{
public Segment(ReadOnlyMemory<T> items) : this(items, 0)
{
}
private Segment(ReadOnlyMemory<T> items, long runningIndex)
{
Debug.Assert(runningIndex >= 0);
Memory = items;
RunningIndex = runningIndex;
}
public Segment Append(ReadOnlyMemory<T> items)
{
long runningIndex;
checked { runningIndex = RunningIndex + Memory.Length; }
Segment segment = new(items, runningIndex);
Next = segment;
return segment;
}
}
}
#endregion
public void StreamingChatToolCalls()
{
static string GetCurrentLocation()
{
// Call the location API here.
return "San Francisco";
}
static string GetCurrentWeather(string location, string unit = "celsius")
{
// Call the weather API here.
return $"31 {unit}";
}
ChatTool getCurrentLocationTool = ChatTool.CreateFunctionTool(
functionName: nameof(GetCurrentLocation),
functionDescription: "Get the user's current location"
);
ChatTool getCurrentWeatherTool = ChatTool.CreateFunctionTool(
functionName: nameof(GetCurrentWeather),
functionDescription: "Get the current weather in a given location",
functionParameters: BinaryData.FromString("""
{
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. Boston, MA"
},
"unit": {
"type": "string",
"enum": [ "celsius", "fahrenheit" ],
"description": "The temperature unit to use. Infer this from the specified location."
}
},
"required": [ "location" ]
}
""")
);
AzureOpenAIClient azureClient = new(
new Uri("https://your-azure-openai-resource.com"),
new DefaultAzureCredential());
ChatClient chatClient = azureClient.GetChatClient("my-gpt-35-turbo-deployment");
ChatCompletionOptions options = new()
{
Tools = { getCurrentLocationTool, getCurrentWeatherTool },
};
List<ChatMessage> conversationMessages =
[
new UserChatMessage("What's the weather like in Boston?"),
];
#region Snippet:ChatTools:StreamingChatTools
StringBuilder contentBuilder = new();
StreamingChatToolCallsBuilder toolCallsBuilder = new();
foreach (StreamingChatCompletionUpdate streamingChatUpdate
in chatClient.CompleteChatStreaming(conversationMessages, options))
{
foreach (ChatMessageContentPart contentPart in streamingChatUpdate.ContentUpdate)
{
contentBuilder.Append(contentPart.Text);
}
foreach (StreamingChatToolCallUpdate toolCallUpdate in streamingChatUpdate.ToolCallUpdates)
{
toolCallsBuilder.Append(toolCallUpdate);
}
}
IReadOnlyList<ChatToolCall> toolCalls = toolCallsBuilder.Build();
AssistantChatMessage assistantMessage = new AssistantChatMessage(toolCalls);
if (contentBuilder.Length > 0)
{
assistantMessage.Content.Add(ChatMessageContentPart.CreateTextPart(contentBuilder.ToString()));
}
conversationMessages.Add(assistantMessage);
// Placeholder: each tool call must be resolved, like in the non-streaming case
string GetToolCallOutput(ChatToolCall toolCall) => null;
foreach (ChatToolCall toolCall in toolCalls)
{
conversationMessages.Add(new ToolChatMessage(toolCall.Id, GetToolCallOutput(toolCall)));
}
// Repeat with the history and all tool call resolution messages added
#endregion
}
}