llmgleam/gpt

Types

ChatCompletion

pub type ChatCompletion {
  ChatCompletion(
    id: String,
    output: List(types.ChatMessage),
    tool_calls: List(types.ToolCall),
    usage: option.Option(Usage),
  )
}

Constructors

ChatCompletion(
  id: String,
  output: List(types.ChatMessage),
  tool_calls: List(types.ToolCall),
  usage: option.Option(Usage),
)

ChatCompletionRequest

</>

pub type ChatCompletionRequest {
  ChatCompletionRequest(
    model: String,
    input: List(types.ChatMessage),
    tools: List(types.Tool),
    tool_outputs: List(types.ToolOutput),
    previous_response_id: option.Option(String),
  )
}

Constructors

ChatCompletionRequest(
  model: String,
  input: List(types.ChatMessage),
  tools: List(types.Tool),
  tool_outputs: List(types.ToolOutput),
  previous_response_id: option.Option(String),
)

GPTClientInternal

</>

pub type GPTClientInternal {
  GPTClientInternal(api_key: String)
}

Constructors

```
GPTClientInternal(api_key: String)
```

Usage

</>

pub type Usage {
  Usage(
    prompt_tokens: Int,
    completion_tokens: Int,
    total_tokens: Int,
  )
}

Constructors

Usage(
  prompt_tokens: Int,
  completion_tokens: Int,
  total_tokens: Int,
)

Values

generate_content

</>

pub fn generate_content(
  client: GPTClientInternal,
  model: String,
  messages: List(types.ChatMessage),
  system_instruction: option.Option(String),
  tools: List(types.Tool),
  tool_outputs: List(types.ToolOutput),
  previous_response_id: option.Option(String),
) -> Result(types.Completion, types.CompletionError)

role_to_str

</>

pub fn role_to_str(role: types.Role) -> String