opi-ai

Provider-neutral LLM API for opi, with streaming events, text/image content, tool-call message types, retry helpers, shared HTTP client support, usage accumulation, and cost calculation.

Simplified Chinese | opi workspace

Status

Current crate version: 0.3.0.

opi-ai exposes the common Provider trait plus provider-neutral request, message, model, and stream event types. The crate contains real streaming implementations for Anthropic, OpenAI Chat Completions, OpenAI Responses, Gemini, AWS Bedrock Converse, Azure OpenAI, and Google Vertex AI, plus OpenAI-compatible profiles for OpenRouter and Mistral.

Providers

Each provider maps native wire events into AssistantStreamEvent, including text deltas, thinking deltas when available, tool-call deltas, terminal completion, usage, and errors.

Core API

• Provider: backend trait with id(), models(), and stream(Request) -> EventStream.
• Request: model, system prompt, messages, tools, token limits, temperature, thinking config, stop sequences, metadata, and cancellation token.
• Message: provider-facing user, assistant, and tool-result messages.
• InputContent / OutputContent: text and image content with URL, base64, or raw-byte image sources.
• AssistantStreamEvent: provider-neutral stream variants for start/text/thinking/tool/done/error.
• ModelInfo: model descriptor with context window, max output tokens, image support, streaming support, and thinking support.
• registry::ProviderRegistry: resolves provider:model specs and exposes model capabilities.
• http::HttpClient: shared reqwest client wrapper with connection pooling and explicit or environment-derived proxy support.
• retry: retry config, exponential backoff, and Retry-After parsing.
• Usage, CumulativeUsage, Pricing, CostBreakdown, calculate_cost: token and cost helpers.
• test_support::MockProvider: builder-style mock provider used by downstream tests.

Image Support

Image input is represented by InputContent::Image with media types image/png, image/jpeg, image/gif, and image/webp. Providers serialize this content to their native wire formats where supported. validate_request_capabilities rejects known text-only models before a network call.

Bedrock supports byte/base64 image sources through Converse, but rejects URL-sourced images locally because the Bedrock Converse API expects image bytes.

Usage

use futures_util::StreamExt;
use opi_ai::anthropic::AnthropicProvider;
use opi_ai::message::{InputContent, Message, UserMessage};
use opi_ai::provider::{Provider, Request, ThinkingConfig};
use tokio_util::sync::CancellationToken;

# async fn run() -> Result<(), Box<dyn std::error::Error>> {
let provider = AnthropicProvider::new(
    std::env::var("ANTHROPIC_API_KEY")?,
    None,
);

let request = Request {
    model: "claude-sonnet-4-5-20250514".into(),
    system: Some("You are concise.".into()),
    messages: vec![Message::User(UserMessage {
        content: vec![InputContent::Text { text: "Hi".into() }],
        timestamp_ms: 0,
    })],
    tools: vec![],
    max_tokens: Some(1024),
    temperature: None,
    thinking: ThinkingConfig::default(),
    stop_sequences: vec![],
    metadata: None,
    cancel: CancellationToken::new(),
};

let mut stream = provider.stream(request);
while let Some(event) = stream.next().await {
    println!("{:?}", event?);
}
# Ok(()) }

Modules

License

MIT. See the workspace LICENSE.