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feat(Gemini): Added Text Embedding Model

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feat: implemented missing methods.
changed to Google_GenerativeAI SDK which supports Multimodal Live APIs.
This commit is contained in:
Gunpal Jain 2025-03-23 23:57:58 +05:30
parent be521997cf
commit 439d4b451c
8 changed files with 217 additions and 46 deletions
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4
Directory.Packages.props
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@ -6,6 +6,8 @@
</PropertyGroup>
<ItemGroup>
<PackageVersion Include="EntityFramework" Version="6.4.4" />
<PackageVersion Include="Google_GenerativeAI" Version="2.4.6" />
<PackageVersion Include="LLMSharp.Google.Palm" Version="1.0.2" />
<PackageVersion Include="Microsoft.AspNetCore.Http.Abstractions" Version="$(AspNetCoreVersion)" />
<PackageVersion Include="Microsoft.AspNetCore.StaticFiles" Version="$(AspNetCoreVersion)" />
<PackageVersion Include="Microsoft.Extensions.Configuration" Version="8.0.0" />
@ -42,8 +44,6 @@
<PackageVersion Include="Microsoft.Data.Sqlite" Version="8.0.8" />
<PackageVersion Include="MySql.Data" Version="9.0.0" />
<PackageVersion Include="NPOI" Version="2.7.1" />
<PackageVersion Include="LLMSharp.Google.Palm" Version="1.0.2" />
<PackageVersion Include="Mscc.GenerativeAI" Version="2.2.11" />
<PackageVersion Include="Microsoft.AspNetCore.Mvc.Core" Version="2.2.5" />
<PackageVersion Include="Refit" Version="8.0.0" />
<PackageVersion Include="Refit.HttpClientFactory" Version="8.0.0" />

10
src/Plugins/BotSharp.Plugin.GoogleAI/BotSharp.Plugin.GoogleAI.csproj
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@ -10,13 +10,13 @@
<OutputPath>$(SolutionDir)packages</OutputPath>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="LLMSharp.Google.Palm" />
<PackageReference Include="Mscc.GenerativeAI" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\Infrastructure\BotSharp.Abstraction\BotSharp.Abstraction.csproj" />
</ItemGroup>
<ItemGroup>
<PackageReference Include="Google_GenerativeAI" />
<PackageReference Include="LLMSharp.Google.Palm" />
</ItemGroup>
</Project>

2
src/Plugins/BotSharp.Plugin.GoogleAI/GoogleAiPlugin.cs
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@ -1,6 +1,7 @@
using BotSharp.Abstraction.Plugins;
using BotSharp.Abstraction.Settings;
using BotSharp.Plugin.GoogleAi.Providers.Chat;
using BotSharp.Plugin.GoogleAI.Providers.Embedding;
using BotSharp.Plugin.GoogleAi.Providers.Text;
namespace BotSharp.Plugin.GoogleAi;
@ -23,5 +24,6 @@ public class GoogleAiPlugin : IBotSharpPlugin
services.AddScoped<ITextCompletion, GeminiTextCompletionProvider>();
services.AddScoped<IChatCompletion, PalmChatCompletionProvider>();
services.AddScoped<IChatCompletion, GeminiChatCompletionProvider>();
services.AddScoped<ITextEmbedding, TextEmbeddingProvider>();
}
}

162
src/Plugins/BotSharp.Plugin.GoogleAI/Providers/Chat/GeminiChatCompletionProvider.cs
View file

@ -1,9 +1,12 @@
using System.Text.Json.Nodes;
using BotSharp.Abstraction.Agents;
using BotSharp.Abstraction.Agents.Enums;
using BotSharp.Abstraction.Conversations;
using BotSharp.Abstraction.Loggers;
using GenerativeAI;
using GenerativeAI.Core;
using GenerativeAI.Types;
using Microsoft.Extensions.Logging;
using Mscc.GenerativeAI;
namespace BotSharp.Plugin.GoogleAi.Providers.Chat;
@ -37,16 +40,16 @@ public class GeminiChatCompletionProvider : IChatCompletion
}
var client = ProviderHelper.GetGeminiClient(Provider, _model, _services);
var aiModel = client.GenerativeModel(_model);
var aiModel = client.CreateGenerativeModel(_model);
var (prompt, request) = PrepareOptions(aiModel, agent, conversations);
var response = await aiModel.GenerateContent(request);
var candidate = response.Candidates.First();
var part = candidate.Content?.Parts?.FirstOrDefault();
var response = await aiModel.GenerateContentAsync(request);
var candidate = response.Candidates?.First();
var part = candidate?.Content?.Parts?.FirstOrDefault();
var text = part?.Text ?? string.Empty;
RoleDialogModel responseMessage;
if (part?.FunctionCall != null)
if (response.GetFunction()!=null)
{
responseMessage = new RoleDialogModel(AgentRole.Function, text)
{
@ -54,7 +57,7 @@ public class GeminiChatCompletionProvider : IChatCompletion
MessageId = conversations.LastOrDefault()?.MessageId ?? string.Empty,
ToolCallId = part.FunctionCall.Name,
FunctionName = part.FunctionCall.Name,
FunctionArgs = part.FunctionCall.Args?.ToString(),
FunctionArgs = part.FunctionCall.Args?.ToJsonString(),
RenderedInstruction = string.Join("\r\n", renderedInstructions)
};
}
@ -82,14 +85,112 @@ public class GeminiChatCompletionProvider : IChatCompletion
return responseMessage;
}
public Task<bool> GetChatCompletionsAsync(Agent agent, List<RoleDialogModel> conversations, Func<RoleDialogModel, Task> onMessageReceived, Func<RoleDialogModel, Task> onFunctionExecuting)
public async Task<bool> GetChatCompletionsAsync(Agent agent, List<RoleDialogModel> conversations, Func<RoleDialogModel, Task> onMessageReceived, Func<RoleDialogModel, Task> onFunctionExecuting)
{
throw new NotImplementedException();
var hooks = _services.GetServices<IContentGeneratingHook>().ToList();
// Before chat completion hook
foreach (var hook in hooks)
{
await hook.BeforeGenerating(agent, conversations);
}
var client = ProviderHelper.GetGeminiClient(Provider, _model, _services);
var chatClient = client.CreateGeminiModel(_model);
var (prompt, messages) = PrepareOptions(chatClient,agent, conversations);
var response = await chatClient.GenerateContentAsync(messages);
var candidate = response.Candidates?.First();
var part = candidate?.Content?.Parts?.FirstOrDefault();
var text = part?.Text ?? string.Empty;
var msg = new RoleDialogModel(AgentRole.Assistant, text)
{
CurrentAgentId = agent.Id,
RenderedInstruction = string.Join("\r\n", renderedInstructions)
};
// After chat completion hook
foreach (var hook in hooks)
{
await hook.AfterGenerated(msg, new TokenStatsModel
{
Prompt = prompt,
Provider = Provider,
Model = _model,
PromptCount = response?.UsageMetadata?.PromptTokenCount ?? 0,
CompletionCount = response?.UsageMetadata?.CandidatesTokenCount ?? 0
});
}
if (response.GetFunction()!=null)
{
var toolCall = response.GetFunction();
_logger.LogInformation($"[{agent.Name}]: {toolCall?.Name}({toolCall?.Args?.ToJsonString()})");
var funcContextIn = new RoleDialogModel(AgentRole.Function, text)
{
CurrentAgentId = agent.Id,
MessageId = conversations.LastOrDefault()?.MessageId ?? string.Empty,
ToolCallId = toolCall?.Id,
FunctionName = toolCall?.Name,
FunctionArgs = toolCall?.Args?.ToJsonString(),
RenderedInstruction = string.Join("\r\n", renderedInstructions)
};
// Somethings LLM will generate a function name with agent name.
if (!string.IsNullOrEmpty(funcContextIn.FunctionName))
{
funcContextIn.FunctionName = funcContextIn.FunctionName.Split('.').Last();
}
// Execute functions
await onFunctionExecuting(funcContextIn);
}
else
{
// Text response received
await onMessageReceived(msg);
}
return true;
}
public Task<bool> GetChatCompletionsStreamingAsync(Agent agent, List<RoleDialogModel> conversations, Func<RoleDialogModel, Task> onMessageReceived)
public async Task<bool> GetChatCompletionsStreamingAsync(Agent agent, List<RoleDialogModel> conversations, Func<RoleDialogModel, Task> onMessageReceived)
{
throw new NotImplementedException();
var client = ProviderHelper.GetGeminiClient(Provider, _model, _services);
var chatClient = client.CreateGenerativeModel(_model);
var (prompt, messages) = PrepareOptions(chatClient,agent, conversations);
var asyncEnumerable = chatClient.StreamContentAsync(messages);
await foreach (var response in asyncEnumerable)
{
if (response.GetFunction()!=null)
{
var func = response.GetFunction();
var update =func?.Args?.ToJsonString().ToString() ?? string.Empty;
_logger.LogInformation(update);
await onMessageReceived(new RoleDialogModel(AgentRole.Assistant, update)
{
RenderedInstruction = string.Join("\r\n", renderedInstructions)
});
continue;
}
if (response.Text().IsNullOrEmpty()) continue;
_logger.LogInformation(response.Text());
await onMessageReceived(new RoleDialogModel(response.Candidates?.LastOrDefault()?.Content?.Role?.ToString() ?? AgentRole.Assistant.ToString(), response.Text() ?? string.Empty)
{
RenderedInstruction = string.Join("\r\n", renderedInstructions)
});
}
return true;
}
public void SetModelName(string model)
@ -107,6 +208,10 @@ public class GeminiChatCompletionProvider : IChatCompletion
aiModel.UseGoogleSearch = googleSettings.Gemini.UseGoogleSearch;
aiModel.UseGrounding = googleSettings.Gemini.UseGrounding;
aiModel.FunctionCallingBehaviour = new FunctionCallingBehaviour()
{
AutoCallFunction = false
};
// Assembly messages
var contents = new List<Content>();
var tools = new List<Tool>();
@ -116,11 +221,7 @@ public class GeminiChatCompletionProvider : IChatCompletion
if (!string.IsNullOrEmpty(agent.Instruction) || !agent.SecondaryInstructions.IsNullOrEmpty())
{
var instruction = agentService.RenderedInstruction(agent);
contents.Add(new Content(instruction)
{
Role = AgentRole.User
});
contents.Add(new Content(instruction, AgentRole.User));
renderedInstructions.Add(instruction);
systemPrompts.Add(instruction);
}
@ -135,7 +236,7 @@ public class GeminiChatCompletionProvider : IChatCompletion
var props = JsonSerializer.Serialize(def?.Properties);
var parameters = !string.IsNullOrWhiteSpace(props) && props != "{}" ? new Schema()
{
Type = ParameterType.Object,
Type = "object",
Properties = JsonSerializer.Deserialize<dynamic>(props),
Required = def?.Required ?? []
} : null;
@ -160,17 +261,20 @@ public class GeminiChatCompletionProvider : IChatCompletion
{
if (message.Role == AgentRole.Function)
{
contents.Add(new Content(message.Content)
contents.Add( new Content(message.Content,AgentRole.Function)
{
Role = AgentRole.Function,
Parts = new()
{
new FunctionCall
Parts =
[
new Part()
{
Name = message.FunctionName,
Args = JsonSerializer.Deserialize<object>(message.FunctionArgs ?? "{}")
FunctionCall = new FunctionCall
{
Name = message.FunctionName,
Args = JsonNode.Parse(message.FunctionArgs ?? "{}")
}
}
}
]
});
convPrompts.Add($"{AgentRole.Assistant}: Call function {message.FunctionName}({message.FunctionArgs})");
@ -178,18 +282,12 @@ public class GeminiChatCompletionProvider : IChatCompletion
else if (message.Role == AgentRole.User)
{
var text = !string.IsNullOrWhiteSpace(message.Payload) ? message.Payload : message.Content;
contents.Add(new Content(text)
{
Role = AgentRole.User
});
contents.Add(new Content(text, AgentRole.User));
convPrompts.Add($"{AgentRole.User}: {text}");
}
else if (message.Role == AgentRole.Assistant)
{
contents.Add(new Content(message.Content)
{
Role = AgentRole.Model
});
contents.Add(new Content(message.Content, AgentRole.Model));
convPrompts.Add($"{AgentRole.Assistant}: {message.Content}");
}
}

67
src/Plugins/BotSharp.Plugin.GoogleAI/Providers/Embedding/TextEmbeddingProvider.cs Normal file
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@ -0,0 +1,67 @@
using BotSharp.Plugin.GoogleAi.Providers;
using GenerativeAI;
using GenerativeAI.Types;
using Microsoft.Extensions.Logging;
namespace BotSharp.Plugin.GoogleAI.Providers.Embedding;
public class TextEmbeddingProvider : ITextEmbedding
{
protected readonly GoogleAiSettings _settings;
protected readonly IServiceProvider _services;
protected readonly ILogger<TextEmbeddingProvider> _logger;
private const int DEFAULT_DIMENSION = 1536;
protected string _model = GoogleAIModels.TextEmbedding;
protected int _dimension = DEFAULT_DIMENSION;
public virtual string Provider => "google-ai";
public string Model => _model;
public TextEmbeddingProvider(
GoogleAiSettings settings,
ILogger<TextEmbeddingProvider> logger,
IServiceProvider services)
{
_settings = settings;
_logger = logger;
_services = services;
}
public async Task<float[]> GetVectorAsync(string text)
{
var client = ProviderHelper.GetGeminiClient(Provider, _model, _services);
var embeddingClient = client.CreateEmbeddingModel(_model);
var response = await embeddingClient.EmbedContentAsync(text);
var value = response?.Embedding?.Values;
return value.ToArray();
}
public async Task<List<float[]>> GetVectorsAsync(List<string> texts)
{
var client = ProviderHelper.GetGeminiClient(Provider, _model, _services);
var embeddingClient = client.CreateEmbeddingModel(_model);
var response = await embeddingClient.BatchEmbedContentAsync(texts.Select(s=>new Content(s, Roles.User)));
var value = response.Embeddings;
if (value == null)
return new List<float[]>();
return value.Select(x => x.Values?.ToArray()??[]).ToList();
}
public void SetModelName(string model)
{
_model = model;
}
public void SetDimension(int dimension)
{
_dimension = dimension > 0 ? dimension : DEFAULT_DIMENSION;
}
public int GetDimension()
{
return _dimension;
}
}

5
src/Plugins/BotSharp.Plugin.GoogleAI/Providers/ProviderHelper.cs
View file

@ -1,15 +1,14 @@
using LLMSharp.Google.Palm;
using Mscc.GenerativeAI;
namespace BotSharp.Plugin.GoogleAi.Providers;
public static class ProviderHelper
{
public static GoogleAI GetGeminiClient(string provider, string model, IServiceProvider services)
public static GenerativeAI.GoogleAi GetGeminiClient(string provider, string model, IServiceProvider services)
{
var settingsService = services.GetRequiredService<ILlmProviderService>();
var settings = settingsService.GetSetting(provider, model);
var client = new GoogleAI(settings.ApiKey);
var client = new GenerativeAI.GoogleAi(settings.ApiKey);
return client;
}

11
src/Plugins/BotSharp.Plugin.GoogleAI/Providers/Text/GeminiTextCompletionProvider.cs
View file

@ -1,8 +1,9 @@
using BotSharp.Abstraction.Agents.Enums;
using BotSharp.Abstraction.Conversations;
using BotSharp.Abstraction.Loggers;
using GenerativeAI;
using GenerativeAI.Core;
using Microsoft.Extensions.Logging;
using Mscc.GenerativeAI;
namespace BotSharp.Plugin.GoogleAi.Providers.Text;
@ -47,11 +48,11 @@ public class GeminiTextCompletionProvider : ITextCompletion
}
var client = ProviderHelper.GetGeminiClient(Provider, _model, _services);
var aiModel = client.GenerativeModel(_model);
var aiModel = client.CreateGenerativeModel(_model);
PrepareOptions(aiModel);
_tokenStatistics.StartTimer();
var response = await aiModel.GenerateContent(text);
var response = await aiModel.GenerateContentAsync(text);
_tokenStatistics.StopTimer();
var completion = response.Text ?? string.Empty;
@ -80,5 +81,9 @@ public class GeminiTextCompletionProvider : ITextCompletion
var settings = _services.GetRequiredService<GoogleAiSettings>();
aiModel.UseGoogleSearch = settings.Gemini.UseGoogleSearch;
aiModel.UseGrounding = settings.Gemini.UseGrounding;
aiModel.FunctionCallingBehaviour = new FunctionCallingBehaviour()
{
AutoCallFunction = false
};
}
}