Example

gollm Examples

This section provides practical examples to help you understand how to use gollm in various scenarios.

Basic Question Answering

llm, _ := gollm.NewLLM(gollm.SetProvider("openai"), gollm.SetModel("gpt-4o-mini"))
prompt := gollm.NewPrompt("What is the capital of France?")
response, _ := llm.Generate(context.Background(), prompt)
fmt.Println(response)

Summarization with Context

prompt := gollm.NewPrompt("Summarize the main points in 3 sentences.",
	gollm.WithContext("The text is about the history of the Internet."),
	gollm.WithMaxLength(100),
)
response, _ := llm.Generate(context.Background(), prompt)
fmt.Println(response)

Comparing Models for a Specific Task

configs := []*gollm.Config{
	{Provider: "openai", Model: "gpt-4o-mini"},
	{Provider: "anthropic", Model: "claude-3-5-sonnet-20240620"},
}
prompt := "Explain how a computer works to a 5-year-old."
results, _ := gollm.CompareModels(context.Background(), prompt, nil, configs...)
fmt.Println(gollm.AnalyzeComparisonResults(results))

JSON Output with Validation

type Recipe struct {
	Name        string   `json:"name"`
	Ingredients []string `json:"ingredients"`
	Steps       []string `json:"steps"`
}

prompt := gollm.NewPrompt("Create a recipe for chocolate chip cookies.",
	gollm.WithOutput("Respond in JSON format with 'name', 'ingredients', and 'steps' fields."),
)

response, _ := llm.Generate(context.Background(), prompt, gollm.WithJSONSchemaValidation())

var recipe Recipe
json.Unmarshal([]byte(response), &recipe)
fmt.Printf("Recipe: %+v\n", recipe)

These examples demonstrate various features of gollm, from basic usage to more advanced scenarios. Experiment with these examples and adapt them to your specific needs.