Files
2025-12-10 10:34:56 +00:00

559 lines
22 KiB
C#

// Copyright (c) Microsoft. All rights reserved.
using System.Runtime.CompilerServices;
using Google.Apis.Util;
using Google.GenAI;
using Google.GenAI.Types;
namespace Microsoft.Extensions.AI;
/// <summary>Provides an <see cref="IChatClient"/> implementation based on <see cref="Client"/>.</summary>
internal sealed class GoogleGenAIChatClient : IChatClient
{
/// <summary>The wrapped <see cref="Client"/> instance (optional).</summary>
private readonly Client? _client;
/// <summary>The wrapped <see cref="Models"/> instance.</summary>
private readonly Models _models;
/// <summary>The default model that should be used when no override is specified.</summary>
private readonly string? _defaultModelId;
/// <summary>Lazily-initialized metadata describing the implementation.</summary>
private ChatClientMetadata? _metadata;
/// <summary>Initializes a new <see cref="GoogleGenAIChatClient"/> instance.</summary>
public GoogleGenAIChatClient(Client client, string? defaultModelId)
{
this._client = client;
this._models = client.Models;
this._defaultModelId = defaultModelId;
}
/// <summary>Initializes a new <see cref="GoogleGenAIChatClient"/> instance.</summary>
public GoogleGenAIChatClient(Models client, string? defaultModelId)
{
this._models = client;
this._defaultModelId = defaultModelId;
}
/// <inheritdoc />
public async Task<ChatResponse> GetResponseAsync(IEnumerable<ChatMessage> messages, ChatOptions? options = null, CancellationToken cancellationToken = default)
{
Utilities.ThrowIfNull(messages, nameof(messages));
// Create the request.
(string? modelId, List<Content> contents, GenerateContentConfig config) = this.CreateRequest(messages, options);
// Send it.
GenerateContentResponse generateResult = await this._models.GenerateContentAsync(modelId!, contents, config).ConfigureAwait(false);
// Create the response.
ChatResponse chatResponse = new(new ChatMessage(ChatRole.Assistant, []))
{
CreatedAt = generateResult.CreateTime is { } dt ? new DateTimeOffset(dt) : null,
ModelId = !string.IsNullOrWhiteSpace(generateResult.ModelVersion) ? generateResult.ModelVersion : modelId,
RawRepresentation = generateResult,
ResponseId = generateResult.ResponseId,
};
// Populate the response messages.
chatResponse.FinishReason = PopulateResponseContents(generateResult, chatResponse.Messages[0].Contents);
// Populate usage information if there is any.
if (generateResult.UsageMetadata is { } usageMetadata)
{
chatResponse.Usage = ExtractUsageDetails(usageMetadata);
}
// Return the response.
return chatResponse;
}
/// <inheritdoc />
public async IAsyncEnumerable<ChatResponseUpdate> GetStreamingResponseAsync(IEnumerable<ChatMessage> messages, ChatOptions? options = null, [EnumeratorCancellation] CancellationToken cancellationToken = default)
{
Utilities.ThrowIfNull(messages, nameof(messages));
// Create the request.
(string? modelId, List<Content> contents, GenerateContentConfig config) = this.CreateRequest(messages, options);
// Send it, and process the results.
await foreach (GenerateContentResponse generateResult in this._models.GenerateContentStreamAsync(modelId!, contents, config).WithCancellation(cancellationToken).ConfigureAwait(false))
{
// Create a response update for each result in the stream.
ChatResponseUpdate responseUpdate = new(ChatRole.Assistant, [])
{
CreatedAt = generateResult.CreateTime is { } dt ? new DateTimeOffset(dt) : null,
ModelId = !string.IsNullOrWhiteSpace(generateResult.ModelVersion) ? generateResult.ModelVersion : modelId,
RawRepresentation = generateResult,
ResponseId = generateResult.ResponseId,
};
// Populate the response update contents.
responseUpdate.FinishReason = PopulateResponseContents(generateResult, responseUpdate.Contents);
// Populate usage information if there is any.
if (generateResult.UsageMetadata is { } usageMetadata)
{
responseUpdate.Contents.Add(new UsageContent(ExtractUsageDetails(usageMetadata)));
}
// Yield the update.
yield return responseUpdate;
}
}
/// <inheritdoc />
public object? GetService(System.Type serviceType, object? serviceKey = null)
{
Utilities.ThrowIfNull(serviceType, nameof(serviceType));
if (serviceKey is null)
{
// If there's a request for metadata, lazily-initialize it and return it. We don't need to worry about race conditions,
// as there's no requirement that the same instance be returned each time, and creation is idempotent.
if (serviceType == typeof(ChatClientMetadata))
{
return this._metadata ??= new("gcp.gen_ai", new("https://generativelanguage.googleapis.com/"), defaultModelId: this._defaultModelId);
}
// Allow a consumer to "break glass" and access the underlying client if they need it.
if (serviceType.IsInstanceOfType(this._models))
{
return this._models;
}
if (this._client is not null && serviceType.IsInstanceOfType(this._client))
{
return this._client;
}
if (serviceType.IsInstanceOfType(this))
{
return this;
}
}
return null;
}
/// <inheritdoc />
void IDisposable.Dispose() { /* nop */ }
/// <summary>Creates the message parameters for <see cref="Models.GenerateContentAsync(string, List{Content}, GenerateContentConfig?)"/> from <paramref name="messages"/> and <paramref name="options"/>.</summary>
private (string? ModelId, List<Content> Contents, GenerateContentConfig Config) CreateRequest(IEnumerable<ChatMessage> messages, ChatOptions? options)
{
// Create the GenerateContentConfig object. If the options contains a RawRepresentationFactory, try to use it to
// create the request instance, allowing the caller to populate it with GenAI-specific options. Otherwise, create
// a new instance directly.
string? model = this._defaultModelId;
List<Content> contents = [];
GenerateContentConfig config = options?.RawRepresentationFactory?.Invoke(this) as GenerateContentConfig ?? new();
if (options is not null)
{
if (options.FrequencyPenalty is { } frequencyPenalty)
{
config.FrequencyPenalty ??= frequencyPenalty;
}
if (options.Instructions is { } instructions)
{
((config.SystemInstruction ??= new()).Parts ??= []).Add(new() { Text = instructions });
}
if (options.MaxOutputTokens is { } maxOutputTokens)
{
config.MaxOutputTokens ??= maxOutputTokens;
}
if (!string.IsNullOrWhiteSpace(options.ModelId))
{
model = options.ModelId;
}
if (options.PresencePenalty is { } presencePenalty)
{
config.PresencePenalty ??= presencePenalty;
}
if (options.Seed is { } seed)
{
config.Seed ??= (int)seed;
}
if (options.StopSequences is { } stopSequences)
{
(config.StopSequences ??= []).AddRange(stopSequences);
}
if (options.Temperature is { } temperature)
{
config.Temperature ??= temperature;
}
if (options.TopP is { } topP)
{
config.TopP ??= topP;
}
if (options.TopK is { } topK)
{
config.TopK ??= topK;
}
// Populate tools. Each kind of tool is added on its own, except for function declarations,
// which are grouped into a single FunctionDeclaration.
List<FunctionDeclaration>? functionDeclarations = null;
if (options.Tools is { } tools)
{
foreach (var tool in tools)
{
switch (tool)
{
case AIFunctionDeclaration af:
functionDeclarations ??= [];
functionDeclarations.Add(new()
{
Name = af.Name,
Description = af.Description ?? "",
ParametersJsonSchema = af.JsonSchema,
});
break;
case HostedCodeInterpreterTool:
(config.Tools ??= []).Add(new() { CodeExecution = new() });
break;
case HostedFileSearchTool:
(config.Tools ??= []).Add(new() { Retrieval = new() });
break;
case HostedWebSearchTool:
(config.Tools ??= []).Add(new() { GoogleSearch = new() });
break;
}
}
}
if (functionDeclarations is { Count: > 0 })
{
Tool functionTools = new();
(functionTools.FunctionDeclarations ??= []).AddRange(functionDeclarations);
(config.Tools ??= []).Add(functionTools);
}
// Transfer over the tool mode if there are any tools.
if (options.ToolMode is { } toolMode && config.Tools?.Count > 0)
{
switch (toolMode)
{
case NoneChatToolMode:
config.ToolConfig = new() { FunctionCallingConfig = new() { Mode = FunctionCallingConfigMode.NONE } };
break;
case AutoChatToolMode:
config.ToolConfig = new() { FunctionCallingConfig = new() { Mode = FunctionCallingConfigMode.AUTO } };
break;
case RequiredChatToolMode required:
config.ToolConfig = new() { FunctionCallingConfig = new() { Mode = FunctionCallingConfigMode.ANY } };
if (required.RequiredFunctionName is not null)
{
((config.ToolConfig.FunctionCallingConfig ??= new()).AllowedFunctionNames ??= []).Add(required.RequiredFunctionName);
}
break;
}
}
// Set the response format if specified.
if (options.ResponseFormat is ChatResponseFormatJson responseFormat)
{
config.ResponseMimeType = "application/json";
if (responseFormat.Schema is { } schema)
{
config.ResponseJsonSchema = schema;
}
}
}
// Transfer messages to request, handling system messages specially
Dictionary<string, string>? callIdToFunctionNames = null;
foreach (var message in messages)
{
if (message.Role == ChatRole.System)
{
string instruction = message.Text;
if (!string.IsNullOrWhiteSpace(instruction))
{
((config.SystemInstruction ??= new()).Parts ??= []).Add(new() { Text = instruction });
}
continue;
}
Content content = new() { Role = message.Role == ChatRole.Assistant ? "model" : "user" };
content.Parts ??= [];
AddPartsForAIContents(ref callIdToFunctionNames, message.Contents, content.Parts);
contents.Add(content);
}
// Make sure the request contains at least one content part (the request would always fail if empty).
if (!contents.SelectMany(c => c.Parts ?? Enumerable.Empty<Part>()).Any())
{
contents.Add(new() { Role = "user", Parts = new() { { new() { Text = "" } } } });
}
return (model, contents, config);
}
/// <summary>Creates <see cref="Part"/>s for <paramref name="contents"/> and adds them to <paramref name="parts"/>.</summary>
private static void AddPartsForAIContents(ref Dictionary<string, string>? callIdToFunctionNames, IList<AIContent> contents, List<Part> parts)
{
for (int i = 0; i < contents.Count; i++)
{
var content = contents[i];
byte[]? thoughtSignature = null;
if (content is not TextReasoningContent { ProtectedData: not null } &&
i + 1 < contents.Count &&
contents[i + 1] is TextReasoningContent nextReasoning &&
string.IsNullOrWhiteSpace(nextReasoning.Text) &&
nextReasoning.ProtectedData is { } protectedData)
{
i++;
thoughtSignature = Convert.FromBase64String(protectedData);
}
Part? part = null;
switch (content)
{
case TextContent textContent:
part = new() { Text = textContent.Text };
break;
case TextReasoningContent reasoningContent:
part = new()
{
Thought = true,
Text = !string.IsNullOrWhiteSpace(reasoningContent.Text) ? reasoningContent.Text : null,
ThoughtSignature = reasoningContent.ProtectedData is not null ? Convert.FromBase64String(reasoningContent.ProtectedData) : null,
};
break;
case DataContent dataContent:
part = new()
{
InlineData = new()
{
MimeType = dataContent.MediaType,
Data = dataContent.Data.ToArray(),
DisplayName = dataContent.Name,
}
};
break;
case UriContent uriContent:
part = new()
{
FileData = new()
{
FileUri = uriContent.Uri.AbsoluteUri,
MimeType = uriContent.MediaType,
}
};
break;
case FunctionCallContent functionCallContent:
(callIdToFunctionNames ??= [])[functionCallContent.CallId] = functionCallContent.Name;
callIdToFunctionNames[""] = functionCallContent.Name; // track last function name in case calls don't have IDs
part = new()
{
FunctionCall = new()
{
Id = functionCallContent.CallId,
Name = functionCallContent.Name,
Args = functionCallContent.Arguments is null ? null : functionCallContent.Arguments as Dictionary<string, object> ?? new(functionCallContent.Arguments!),
}
};
break;
case FunctionResultContent functionResultContent:
part = new()
{
FunctionResponse = new()
{
Id = functionResultContent.CallId,
Name = callIdToFunctionNames?.TryGetValue(functionResultContent.CallId, out string? functionName) is true || callIdToFunctionNames?.TryGetValue("", out functionName) is true ?
functionName :
null,
Response = functionResultContent.Result is null ? null : new() { ["result"] = functionResultContent.Result },
}
};
break;
}
if (part is not null)
{
part.ThoughtSignature ??= thoughtSignature;
parts.Add(part);
}
}
}
/// <summary>Creates <see cref="AIContent"/>s for <paramref name="parts"/> and adds them to <paramref name="contents"/>.</summary>
private static void AddAIContentsForParts(List<Part> parts, IList<AIContent> contents)
{
foreach (var part in parts)
{
AIContent? content = null;
if (!string.IsNullOrEmpty(part.Text))
{
content = part.Thought is true ?
new TextReasoningContent(part.Text) :
new TextContent(part.Text);
}
else if (part.InlineData is { } inlineData)
{
content = new DataContent(inlineData.Data, inlineData.MimeType ?? "application/octet-stream")
{
Name = inlineData.DisplayName,
};
}
else if (part.FileData is { FileUri: not null } fileData)
{
content = new UriContent(new Uri(fileData.FileUri), fileData.MimeType ?? "application/octet-stream");
}
else if (part.FunctionCall is { Name: not null } functionCall)
{
content = new FunctionCallContent(functionCall.Id ?? "", functionCall.Name, functionCall.Args!);
}
else if (part.FunctionResponse is { } functionResponse)
{
content = new FunctionResultContent(
functionResponse.Id ?? "",
functionResponse.Response?.TryGetValue("output", out var output) is true ? output :
functionResponse.Response?.TryGetValue("error", out var error) is true ? error :
null);
}
if (content is not null)
{
content.RawRepresentation = part;
contents.Add(content);
if (part.ThoughtSignature is { } thoughtSignature)
{
contents.Add(new TextReasoningContent(null)
{
ProtectedData = Convert.ToBase64String(thoughtSignature),
});
}
}
}
}
private static ChatFinishReason? PopulateResponseContents(GenerateContentResponse generateResult, IList<AIContent> responseContents)
{
ChatFinishReason? finishReason = null;
// Populate the response messages. There should only be at most one candidate, but if there are more, ignore all but the first.
if (generateResult.Candidates is { Count: > 0 } &&
generateResult.Candidates[0] is { Content: { } candidateContent } candidate)
{
// Grab the finish reason if one exists.
finishReason = ConvertFinishReason(candidate.FinishReason);
// Add all of the response content parts as AIContents.
if (candidateContent.Parts is { } parts)
{
AddAIContentsForParts(parts, responseContents);
}
// Add any citation metadata.
if (candidate.CitationMetadata is { Citations: { Count: > 0 } citations } &&
responseContents.OfType<TextContent>().FirstOrDefault() is TextContent textContent)
{
foreach (var citation in citations)
{
textContent.Annotations =
[
new CitationAnnotation()
{
Title = citation.Title,
Url = Uri.TryCreate(citation.Uri, UriKind.Absolute, out Uri? uri) ? uri : null,
AnnotatedRegions =
[
new TextSpanAnnotatedRegion()
{
StartIndex = citation.StartIndex,
EndIndex = citation.EndIndex,
}
],
}
];
}
}
}
// Populate error information if there is any.
if (generateResult.PromptFeedback is { } promptFeedback)
{
responseContents.Add(new ErrorContent(promptFeedback.BlockReasonMessage));
}
return finishReason;
}
/// <summary>Creates an M.E.AI <see cref="ChatFinishReason"/> from a Google <see cref="FinishReason"/>.</summary>
private static ChatFinishReason? ConvertFinishReason(FinishReason? finishReason)
{
return finishReason switch
{
null => null,
FinishReason.MAX_TOKENS =>
ChatFinishReason.Length,
FinishReason.MALFORMED_FUNCTION_CALL or
FinishReason.UNEXPECTED_TOOL_CALL =>
ChatFinishReason.ToolCalls,
FinishReason.FINISH_REASON_UNSPECIFIED or
FinishReason.STOP =>
ChatFinishReason.Stop,
_ => ChatFinishReason.ContentFilter,
};
}
/// <summary>Creates a <see cref="UsageDetails"/> populated from the supplied <paramref name="usageMetadata"/>.</summary>
private static UsageDetails ExtractUsageDetails(GenerateContentResponseUsageMetadata usageMetadata)
{
UsageDetails details = new()
{
InputTokenCount = usageMetadata.PromptTokenCount,
OutputTokenCount = usageMetadata.CandidatesTokenCount,
TotalTokenCount = usageMetadata.TotalTokenCount,
};
AddIfPresent(nameof(usageMetadata.CachedContentTokenCount), usageMetadata.CachedContentTokenCount);
AddIfPresent(nameof(usageMetadata.ThoughtsTokenCount), usageMetadata.ThoughtsTokenCount);
AddIfPresent(nameof(usageMetadata.ToolUsePromptTokenCount), usageMetadata.ToolUsePromptTokenCount);
return details;
void AddIfPresent(string key, int? value)
{
if (value is int i)
{
(details.AdditionalCounts ??= [])[key] = i;
}
}
}
}