BotSharp/src/Plugins/BotSharp.Plugin.GoogleAI/Providers/Chat/GeminiChatCompletionProvider.cs
Gunpal Jain 439d4b451c feat(Gemini): Added Text Embedding Model
feat: implemented missing methods.
changed to Google_GenerativeAI SDK which supports Multimodal Live APIs.
2025-03-23 23:57:58 +05:30

336 lines
12 KiB
C#

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;
namespace BotSharp.Plugin.GoogleAi.Providers.Chat;
public class GeminiChatCompletionProvider : IChatCompletion
{
private readonly IServiceProvider _services;
private readonly ILogger<GeminiChatCompletionProvider> _logger;
private List<string> renderedInstructions = [];
private string _model;
public string Provider => "google-ai";
public string Model => _model;
public GeminiChatCompletionProvider(
IServiceProvider services,
ILogger<GeminiChatCompletionProvider> logger)
{
_services = services;
_logger = logger;
}
public async Task<RoleDialogModel> GetChatCompletions(Agent agent, List<RoleDialogModel> conversations)
{
var contentHooks = _services.GetServices<IContentGeneratingHook>().ToList();
// Before chat completion hook
foreach (var hook in contentHooks)
{
await hook.BeforeGenerating(agent, conversations);
}
var client = ProviderHelper.GetGeminiClient(Provider, _model, _services);
var aiModel = client.CreateGenerativeModel(_model);
var (prompt, request) = PrepareOptions(aiModel, agent, conversations);
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 (response.GetFunction()!=null)
{
responseMessage = new RoleDialogModel(AgentRole.Function, text)
{
CurrentAgentId = agent.Id,
MessageId = conversations.LastOrDefault()?.MessageId ?? string.Empty,
ToolCallId = part.FunctionCall.Name,
FunctionName = part.FunctionCall.Name,
FunctionArgs = part.FunctionCall.Args?.ToJsonString(),
RenderedInstruction = string.Join("\r\n", renderedInstructions)
};
}
else
{
responseMessage = new RoleDialogModel(AgentRole.Assistant, text)
{
CurrentAgentId = agent.Id,
MessageId = conversations.LastOrDefault()?.MessageId ?? string.Empty,
RenderedInstruction = string.Join("\r\n", renderedInstructions)
};
}
// After chat completion hook
foreach (var hook in contentHooks)
{
await hook.AfterGenerated(responseMessage, new TokenStatsModel
{
Prompt = prompt,
Provider = Provider,
Model = _model
});
}
return responseMessage;
}
public async Task<bool> GetChatCompletionsAsync(Agent agent, List<RoleDialogModel> conversations, Func<RoleDialogModel, Task> onMessageReceived, Func<RoleDialogModel, Task> onFunctionExecuting)
{
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 async Task<bool> GetChatCompletionsStreamingAsync(Agent agent, List<RoleDialogModel> conversations, Func<RoleDialogModel, Task> onMessageReceived)
{
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)
{
_model = model;
}
private (string, GenerateContentRequest) PrepareOptions(GenerativeModel aiModel, Agent agent, List<RoleDialogModel> conversations)
{
var agentService = _services.GetRequiredService<IAgentService>();
var googleSettings = _services.GetRequiredService<GoogleAiSettings>();
renderedInstructions = [];
// Add settings
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>();
var funcDeclarations = new List<FunctionDeclaration>();
var systemPrompts = new List<string>();
if (!string.IsNullOrEmpty(agent.Instruction) || !agent.SecondaryInstructions.IsNullOrEmpty())
{
var instruction = agentService.RenderedInstruction(agent);
contents.Add(new Content(instruction, AgentRole.User));
renderedInstructions.Add(instruction);
systemPrompts.Add(instruction);
}
var funcPrompts = new List<string>();
var functions = agent.Functions.Concat(agent.SecondaryFunctions ?? []);
foreach (var function in functions)
{
if (!agentService.RenderFunction(agent, function)) continue;
var def = agentService.RenderFunctionProperty(agent, function);
var props = JsonSerializer.Serialize(def?.Properties);
var parameters = !string.IsNullOrWhiteSpace(props) && props != "{}" ? new Schema()
{
Type = "object",
Properties = JsonSerializer.Deserialize<dynamic>(props),
Required = def?.Required ?? []
} : null;
funcDeclarations.Add(new FunctionDeclaration
{
Name = function.Name,
Description = function.Description,
Parameters = parameters
});
funcPrompts.Add($"{function.Name}: {function.Description} {def}");
}
if (!funcDeclarations.IsNullOrEmpty())
{
tools.Add(new Tool { FunctionDeclarations = funcDeclarations });
}
var convPrompts = new List<string>();
foreach (var message in conversations)
{
if (message.Role == AgentRole.Function)
{
contents.Add( new Content(message.Content,AgentRole.Function)
{
Role = AgentRole.Function,
Parts =
[
new Part()
{
FunctionCall = new FunctionCall
{
Name = message.FunctionName,
Args = JsonNode.Parse(message.FunctionArgs ?? "{}")
}
}
]
});
convPrompts.Add($"{AgentRole.Assistant}: Call function {message.FunctionName}({message.FunctionArgs})");
}
else if (message.Role == AgentRole.User)
{
var text = !string.IsNullOrWhiteSpace(message.Payload) ? message.Payload : message.Content;
contents.Add(new Content(text, AgentRole.User));
convPrompts.Add($"{AgentRole.User}: {text}");
}
else if (message.Role == AgentRole.Assistant)
{
contents.Add(new Content(message.Content, AgentRole.Model));
convPrompts.Add($"{AgentRole.Assistant}: {message.Content}");
}
}
var state = _services.GetRequiredService<IConversationStateService>();
var temperature = float.Parse(state.GetState("temperature", "0.0"));
var maxTokens = int.TryParse(state.GetState("max_tokens"), out var tokens)
? tokens
: agent.LlmConfig?.MaxOutputTokens ?? LlmConstant.DEFAULT_MAX_OUTPUT_TOKEN;
var request = new GenerateContentRequest
{
Contents = contents,
Tools = tools,
GenerationConfig = new()
{
Temperature = temperature,
MaxOutputTokens = maxTokens
}
};
var prompt = GetPrompt(systemPrompts, funcPrompts, convPrompts);
return (prompt, request);
}
private string GetPrompt(IEnumerable<string> systemPrompts, IEnumerable<string> funcPrompts, IEnumerable<string> convPrompts)
{
var prompt = string.Empty;
prompt = string.Join("\r\n\r\n", systemPrompts);
if (!funcPrompts.IsNullOrEmpty())
{
prompt += "\r\n\r\n[FUNCTIONS]\r\n";
prompt += string.Join("\r\n", funcPrompts);
}
if (!convPrompts.IsNullOrEmpty())
{
prompt += "\r\n\r\n[CONVERSATION]\r\n";
prompt += string.Join("\r\n", convPrompts);
}
return prompt;
}
}