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package llm
import (
"context"
"errors"
"log"
"os"
)
// Message represents a chat-style prompt message.
type Message struct {
Role string
Content string
}
// Client is a minimal LLM provider interface.
// Future providers (Ollama, etc.) should implement this.
type Client interface {
// Chat sends chat messages and returns the assistant text.
Chat(ctx context.Context, messages []Message, opts ...RequestOption) (string, error)
}
// Options for a request. Providers may ignore unsupported fields.
type Options struct {
Model string
Temperature float64
MaxTokens int
Stop []string
}
// RequestOption mutates Options.
type RequestOption func(*Options)
func WithModel(model string) RequestOption { return func(o *Options) { o.Model = model } }
func WithTemperature(t float64) RequestOption { return func(o *Options) { o.Temperature = t } }
func WithMaxTokens(n int) RequestOption { return func(o *Options) { o.MaxTokens = n } }
func WithStop(stop ...string) RequestOption {
return func(o *Options) { o.Stop = append([]string{}, stop...) }
}
// NewDefault returns the default provider using environment configuration.
// Currently this is the OpenAI provider using OPENAI_API_KEY.
func NewDefault(logger *log.Logger) (Client, error) {
apiKey := os.Getenv("OPENAI_API_KEY")
if apiKey == "" {
return nil, errors.New("OPENAI_API_KEY is not set")
}
return newOpenAIFromEnv(apiKey, logger), nil
}
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