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Documentation Index

Fetch the complete documentation index at: https://docs.mellob.in/llms.txt

Use this file to discover all available pages before exploring further.

​
Create a client

kai := ai.NewKarmaAI(
  ai.GPT4o,         // pick a model
  ai.OpenAI,        // pick a provider
  ai.WithSystemMessage("You are a smart AI assistant"),
  ai.WithTemperature(1),
  ai.WithMaxTokens(200),
  ai.WithTopP(0.9),
)
Common model examples you can use out of the box:
  • ai.GPT4o (OpenAI)
  • ai.Claude4Opus (Anthropic Claude 3.7 Sonnet)
  • ai.Grok3Mini and ai.Grok4 (xAI Grok)
  • ai.Gemini20Flash (Google Gemini)
Availability depends on your API access and keys.

​
Send a chat completion

resp, err := kai.ChatCompletion(models.AIChatHistory{
  Messages: []models.AIMessage{
    {Role: models.User, Message: "Summarize Goroutines in 3 bullets."},
  },
})
if err != nil { panic(err) }

fmt.Println(resp.AIResponse)  // final text
fmt.Println(resp.Tokens)      // total tokens

​
Stream a response

callback := func(chunk models.StreamedResponse) error {
  fmt.Print(chunk.AIResponse)
  return nil
}

final, err := kai.ChatCompletionStream(models.AIChatHistory{
  Messages: []models.AIMessage{
    {Role: models.User, Message: "Write a haiku about channels."},
  },
}, callback)
if err != nil { panic(err) }

fmt.Println("\n\nFinal output:")
fmt.Println(final.AIResponse)

​
Single-prompt generation

resp, err := kai.GenerateFromSinglePrompt("List 5 standard Go tools.")
if err != nil { panic(err) }
fmt.Println(resp.AIResponse)

​
Message & history types

type AIMessage struct {
  Images    []string  // URLs/Base64
  Files     []string  // URLs/Base64
  Message   string
  Role      AIRoles   // models.User, models.Assistant, etc.
  Timestamp time.Time
  UniqueId  string
}

type AIChatHistory struct {
  Messages    []AIMessage
  ChatId      string
  CreatedAt   time.Time
  Title       string
  Description string
  SystemMsg   string
  Context     string
}

​
Response types

type AIChatResponse struct {
  AIResponse   string
  Tokens       int
  InputTokens  int
  OutputTokens int
  TimeTaken    int
}

type StreamedResponse struct {
  AIResponse string
  TokenUsed  int
  TimeTaken  int
}

​
KarmaAI fields (reference)

type KarmaAI struct {
  Model         Models
  SystemMessage string
  Context       string
  UserPrePrompt string
  Temperature   float64
  TopP          float64
  TopK          float64
  MaxTokens     int64
  ResponseType  string // text/plain, application/json, application/xml, application/yaml, text/x.enum
  MCPConfig     struct {
    MCPUrl    string
    AuthToken string
    MCPTools  []MCPTool
  }
  MCPServers   []MCPServer
  ToolsEnabled bool
  Analytics    Analytics
}