mlogclub
976b9defde
- Updated function signatures to accept AI Agent and AI Config as non-pointer types for better clarity and safety. - Modified instances where AI Agent and AI Config were dereferenced to improve code readability. - Removed unnecessary nil checks for AI Agent and AI Config, simplifying the logic. - Adjusted related tests and services to align with the new function signatures. - Cleaned up code in runtime, skills, and executor packages to ensure consistency in handling AI configurations.
96 lines
2.9 KiB
Go
96 lines
2.9 KiB
Go
package ai
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import (
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"context"
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"fmt"
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"strings"
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"unicode/utf8"
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"github.com/mlogclub/simple/common/strs"
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openai "github.com/openai/openai-go/v3"
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"github.com/openai/openai-go/v3/shared"
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"cs-agent/internal/models"
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"cs-agent/internal/pkg/enums"
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)
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type ChatCompletionResult struct {
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Content string
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ModelName string
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PromptTokens int
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CompletionTokens int
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}
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type llm struct{}
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var LLM = &llm{}
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func (s *llm) Chat(ctx context.Context, systemPrompt string, userPrompt string) (*ChatCompletionResult, error) {
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config, err := GetEnabledAIConfig(enums.AIModelTypeLLM)
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if err != nil {
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return nil, err
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}
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return s.ChatWithConfig(ctx, *config, systemPrompt, userPrompt)
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}
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func (s *llm) ChatWithConfig(ctx context.Context, config models.AIConfig, systemPrompt string, userPrompt string) (*ChatCompletionResult, error) {
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messages := make([]openai.ChatCompletionMessageParamUnion, 0, 2)
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if strs.IsNotBlank(systemPrompt) {
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messages = append(messages, openai.ChatCompletionMessageParamUnion{
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OfSystem: &openai.ChatCompletionSystemMessageParam{
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Content: openai.ChatCompletionSystemMessageParamContentUnion{
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OfString: openai.String(systemPrompt),
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},
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},
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})
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}
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messages = append(messages, openai.ChatCompletionMessageParamUnion{
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OfUser: &openai.ChatCompletionUserMessageParam{
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Content: openai.ChatCompletionUserMessageParamContentUnion{
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OfString: openai.String(userPrompt),
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},
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},
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})
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params := openai.ChatCompletionNewParams{
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Messages: messages,
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Model: shared.ChatModel(config.ModelName),
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}
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if config.MaxOutputTokens > 0 {
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params.MaxCompletionTokens = openai.Int(int64(config.MaxOutputTokens))
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}
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applyProviderSpecificChatParams(params, config)
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client := newOpenAIClient(config)
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chatResp, err := client.Chat.Completions.New(ctx, params)
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if err != nil {
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return nil, fmt.Errorf("failed to call llm api (model=%s provider=%s system_chars=%d user_chars=%d max_output_tokens=%d): %w",
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config.ModelName, config.Provider, utf8.RuneCountInString(systemPrompt), utf8.RuneCountInString(userPrompt), config.MaxOutputTokens, err)
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}
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if len(chatResp.Choices) == 0 {
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return nil, fmt.Errorf("no llm choices in response")
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}
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content := strings.TrimSpace(chatResp.Choices[0].Message.Content)
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return &ChatCompletionResult{
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Content: content,
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ModelName: config.ModelName,
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PromptTokens: int(chatResp.Usage.PromptTokens),
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CompletionTokens: int(chatResp.Usage.CompletionTokens),
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}, nil
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}
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func applyProviderSpecificChatParams(params openai.ChatCompletionNewParams, config models.AIConfig) {
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if isDashScopeQwenThinkingModel(config) {
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params.SetExtraFields(map[string]any{
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"enable_thinking": false,
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})
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}
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}
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func isDashScopeQwenThinkingModel(config models.AIConfig) bool {
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baseURL := strings.ToLower(strings.TrimSpace(config.BaseURL))
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modelName := strings.ToLower(strings.TrimSpace(config.ModelName))
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return strings.Contains(baseURL, "dashscope.aliyuncs.com") && strings.HasPrefix(modelName, "qwen3")
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}
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