llm-connector 0.3.0

Minimal Rust library for LLM protocol abstraction. Supports 4 protocols (OpenAI, Anthropic, Aliyun, Ollama) with unified interface, and dynamic model discovery.
Documentation 
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//! Response types for chat completions

use super::request::Message;
use serde::{Deserialize, Serialize};

/// Chat completion response
#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct ChatResponse {
    /// A unique identifier for the chat completion.
    pub id: String,

    /// Object type (always "chat.completion")
    pub object: String,

    /// Unix timestamp of creation
    pub created: u64,

    /// Model used for the completion
    pub model: String,

    /// List of completion choices
    pub choices: Vec<Choice>,

    /// Usage statistics
    #[serde(skip_serializing_if = "Option::is_none")]
    pub usage: Option<Usage>,

    /// System fingerprint
    #[serde(skip_serializing_if = "Option::is_none")]
    pub system_fingerprint: Option<String>,
}

/// A completion choice
#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct Choice {
    /// The index of the choice in the list of choices.
    pub index: u32,

    /// The generated message
    pub message: Message,

    /// Reason for finishing
    #[serde(skip_serializing_if = "Option::is_none")]
    pub finish_reason: Option<String>,

    /// Log probabilities
    #[serde(skip_serializing_if = "Option::is_none")]
    pub logprobs: Option<serde_json::Value>,
}

/// Token usage statistics
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Usage {
    /// Number of tokens in the prompt
    pub prompt_tokens: u32,

    /// Number of tokens in the completion
    pub completion_tokens: u32,

    /// Total number of tokens
    pub total_tokens: u32,

    /// Number of prompt tokens that hit the cache
    #[serde(skip_serializing_if = "Option::is_none")]
    pub prompt_cache_hit_tokens: Option<u32>,

    /// Number of prompt tokens that missed the cache
    #[serde(skip_serializing_if = "Option::is_none")]
    pub prompt_cache_miss_tokens: Option<u32>,

    /// Detailed prompt token usage
    #[serde(skip_serializing_if = "Option::is_none")]
    pub prompt_tokens_details: Option<PromptTokensDetails>,

    /// Detailed completion token usage
    #[serde(skip_serializing_if = "Option::is_none")]
    pub completion_tokens_details: Option<CompletionTokensDetails>,
}

/// Detailed prompt token usage
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PromptTokensDetails {
    /// Number of cached tokens
    #[serde(skip_serializing_if = "Option::is_none")]
    pub cached_tokens: Option<u32>,
}

/// Detailed completion token usage
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CompletionTokensDetails {
    /// Number of reasoning tokens (for o1 models)
    #[serde(skip_serializing_if = "Option::is_none")]
    pub reasoning_tokens: Option<u32>,
}