genai 0.1.21

Multi-AI Providers Library for Rust. (DeepSeek, Anthropic, OpenAI, Gemini, xAI, Ollama, Groq, ...)
Documentation

genai - Multi-AI Providers Library for Rust

Currently supports natively: DeepSeek (deepseek.com & Groq), OpenAI, Anthropic, Groq, Ollama, Gemini, Cohere (more to come)

# cargo.toml
genai = "0.1.21"

Provides a common and ergonomic single API to many generative AI providers, such as Anthropic, OpenAI, Gemini, xAI, Ollama, Groq, and more.

Check out devai.run, the Iterate to Automate command-line application that leverages genai for multi-AI capabilities.

Key Features

Examples | Thanks | Library Focus | Changelog | Provider Mapping: ChatOptions | MetaUsage

Examples

examples/c00-readme.rs

//! Base examples demonstrating the core capabilities of genai

use genai::chat::printer::{print_chat_stream, PrintChatStreamOptions};
use genai::chat::{ChatMessage, ChatRequest};
use genai::Client;

const MODEL_OPENAI: &str = "gpt-4o-mini"; // o1-mini, gpt-4o-mini
const MODEL_ANTHROPIC: &str = "claude-3-haiku-20240307";
const MODEL_COHERE: &str = "command-light";
const MODEL_GEMINI: &str = "gemini-1.5-flash-latest";
const MODEL_GROQ: &str = "llama3-8b-8192";
const MODEL_OLLAMA: &str = "gemma:2b"; // sh: `ollama pull gemma:2b`
const MODEL_XAI: &str = "grok-beta";
const MODEL_DEEPSEEK: &str = "deepseek-chat";

// NOTE: These are the default environment keys for each AI Adapter Type.
//       They can be customized; see `examples/c02-auth.rs`
const MODEL_AND_KEY_ENV_NAME_LIST: &[(&str, &str)] = &[
	// -- De/activate models/providers
	(MODEL_OPENAI, "OPENAI_API_KEY"),
	(MODEL_ANTHROPIC, "ANTHROPIC_API_KEY"),
	(MODEL_COHERE, "COHERE_API_KEY"),
	(MODEL_GEMINI, "GEMINI_API_KEY"),
	(MODEL_GROQ, "GROQ_API_KEY"),
	(MODEL_XAI, "XAI_API_KEY"),
	(MODEL_DEEPSEEK, "DEEPSEEK_API_KEY"),
	(MODEL_OLLAMA, ""),
];

// NOTE: Model to AdapterKind (AI Provider) type mapping rule
//  - starts_with "gpt"      -> OpenAI
//  - starts_with "claude"   -> Anthropic
//  - starts_with "command"  -> Cohere
//  - starts_with "gemini"   -> Gemini
//  - model in Groq models   -> Groq
//  - For anything else      -> Ollama
//
// This can be customized; see `examples/c03-mapper.rs`

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
	let question = "Why is the sky red?";

	let chat_req = ChatRequest::new(vec![
		// -- Messages (de/activate to see the differences)
		ChatMessage::system("Answer in one sentence"),
		ChatMessage::user(question),
	]);

	let client = Client::default();

	let print_options = PrintChatStreamOptions::from_print_events(false);

	for (model, env_name) in MODEL_AND_KEY_ENV_NAME_LIST {
		// Skip if the environment name is not set
		if !env_name.is_empty() && std::env::var(env_name).is_err() {
			println!("===== Skipping model: {model} (env var not set: {env_name})");
			continue;
		}

		let adapter_kind = client.resolve_service_target(model)?.model.adapter_kind;

		println!("\n===== MODEL: {model} ({adapter_kind}) =====");

		println!("\n--- Question:\n{question}");

		println!("\n--- Answer:");
		let chat_res = client.exec_chat(model, chat_req.clone(), None).await?;
		println!("{}", chat_res.content_text_as_str().unwrap_or("NO ANSWER"));

		println!("\n--- Answer: (streaming)");
		let chat_res = client.exec_chat_stream(model, chat_req.clone(), None).await?;
		print_chat_stream(chat_res, Some(&print_options)).await?;

		println!();
	}

	Ok(())
}

More Examples

Thanks

Library Focus:

  • Focuses on standardizing chat completion APIs across major AI services.

  • Native implementation, meaning no per-service SDKs.

    • Reason: While there are some variations between all of the various APIs, they all follow the same pattern and high-level flow and constructs. Managing the differences at a lower layer is actually simpler and more cumulative across services than doing SDKs gymnastics.

  • Prioritizes ergonomics and commonality, with depth being secondary. (If you require a complete client API, consider using async-openai and ollama-rs; they are both excellent and easy to use.)

  • Initially, this library will mostly focus on text chat API (images, or even function calling in the first stage).

  • The 0.1.x version will work, but the APIs will change in the patch version, not following semver strictly.

  • Version 0.2.x will follow semver more strictly.

ChatOptions

  • (1) - OpenAI compatibles notes
    • Models: OpenAI, DeepSeek, Groq, Ollama, xAI
Property OpenAI Compatibles (*1) Anthropic Gemini generationConfig. Cohere
temperature temperature temperature temperature temperature
max_tokens max_tokens max_tokens (default 1024) maxOutputTokens max_tokens
top_p top_p top_p topP p

MetaUsage

Property OpenAI Compatibles (1) Anthropic usage. Gemini usageMetadata. Cohere meta.tokens.
prompt_tokens prompt_tokens input_tokens (added) promptTokenCount (2) input_tokens
completion_tokens completion_tokens output_tokens (added) candidatesTokenCount (2) output_tokens
total_tokens total_tokens (computed) totalTokenCount (2) (computed)
prompt_tokens_details prompt_tokens_details N/A for now N/A for now N/A for now
completion_tokens_details completion_tokens_details N/A for now N/A for now N/A for now

  • (1) - OpenAI compatibles notes

  • (2): Gemini tokens

    • Right now, with Gemini Stream API, it's not really clear if the usage for each event is cumulative or needs to be added. Currently, it appears to be cumulative (i.e., the last message has the total amount of input, output, and total tokens), so that will be the assumption. See possible tweet answer for more info.

Notes on Possible Direction

  • Will add more data on ChatResponse and ChatStream, especially metadata about usage.
  • Add vision/image support to chat messages and responses.
  • Add function calling support to chat messages and responses.
  • Add embed and embed_batch
  • Add the AWS Bedrock variants (e.g., Mistral, and Anthropic). Most of the work will be on "interesting" token signature scheme (without having to drag big SDKs, might be below feature).
  • Add the Google VertexAI variants.
  • (might) add the Azure OpenAI variant (not sure yet).

Links