8635660d9d
- Introduced AgentConfigSnapshot structure to encapsulate agent configuration settings, including model metadata, tool preferences, and automation options. - Updated AgentChatHistoryCodec to support serialization and deserialization of agent configuration, warnings, and model metadata. - Enhanced AgentChatHistoryPopup with provider filtering and message pinning functionality for improved user experience. - Added new methods for managing agent settings and builder workflows, facilitating better integration of agent configurations into the chat interface. - Documented the new Agent Builder workflow in README for clarity on usage and features.
33 lines
1.0 KiB
C++
33 lines
1.0 KiB
C++
#ifndef YAZE_CLI_SERVICE_AI_SERVICE_FACTORY_H_
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#define YAZE_CLI_SERVICE_AI_SERVICE_FACTORY_H_
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#include <memory>
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#include <string>
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#include "absl/status/statusor.h"
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#include "cli/service/ai/ai_service.h"
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namespace yaze {
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namespace cli {
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struct AIServiceConfig {
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std::string provider = "auto"; // "auto" (try gemini→ollama→mock), "gemini", "ollama", or "mock"
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std::string model; // Provider-specific model name
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std::string gemini_api_key; // For Gemini
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std::string ollama_host = "http://localhost:11434"; // For Ollama
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bool verbose = false; // Enable debug logging
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};
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// Create AI service using command-line flags
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std::unique_ptr<AIService> CreateAIService();
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// Create AI service with explicit configuration
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std::unique_ptr<AIService> CreateAIService(const AIServiceConfig& config);
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absl::StatusOr<std::unique_ptr<AIService>> CreateAIServiceStrict(
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const AIServiceConfig& config);
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} // namespace cli
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} // namespace yaze
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#endif // YAZE_CLI_SERVICE_AI_SERVICE_FACTORY_H_
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