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use crate::client::RainyClient;
use crate::error::{RainyError, Result};
use crate::models::{
ChatCompletionRequest, ChatCompletionResponse, ChatCompletionStreamResponse,
OpenAIChatCompletionRequest, OpenAIChatCompletionResponse,
};
use futures::Stream;
use std::pin::Pin;
impl RainyClient {
/// Create a chat completion
///
/// This endpoint sends a chat completion request to the Rainy API.
///
/// # Arguments
///
/// * `request` - The chat completion request parameters
///
/// # Returns
///
/// Returns the chat completion response from the AI model.
///
/// # Example
///
/// ```rust,no_run
/// # use rainy_sdk::{RainyClient, ChatCompletionRequest, ChatMessage, MessageRole};
/// # async fn example() -> Result<(), Box<dyn std::error::Error>> {
/// let client = RainyClient::with_api_key("user-api-key")?;
///
/// let messages = vec![
/// ChatMessage::user("Hello, how are you?"),
/// ];
///
/// let request = ChatCompletionRequest::new("gemini-pro", messages)
/// .with_max_tokens(150)
/// .with_temperature(0.7);
///
/// let response = client.create_chat_completion(request).await?;
///
/// if let Some(choice) = response.choices.first() {
/// println!("Response: {}", choice.message.content);
/// }
/// # Ok(())
/// # }
/// ```
pub async fn create_chat_completion(
&self,
request: ChatCompletionRequest,
) -> Result<ChatCompletionResponse> {
let body = serde_json::to_value(request)?;
self.make_request(reqwest::Method::POST, "/chat/completions", Some(body))
.await
}
/// Create an OpenAI-compatible chat completion with full tool-call replay support.
///
/// This variant accepts the complete OpenAI message shape, including:
/// assistant `tool_calls`, `tool` role messages, multimodal content parts, and
/// provider-specific metadata such as thought signatures.
pub async fn create_openai_chat_completion(
&self,
request: OpenAIChatCompletionRequest,
) -> Result<OpenAIChatCompletionResponse> {
let body = serde_json::to_value(request)?;
self.make_request(reqwest::Method::POST, "/chat/completions", Some(body))
.await
}
/// Create a chat completion with streaming
///
/// This method provides streaming support for chat completions.
///
/// # Arguments
///
/// * `request` - The chat completion request parameters
///
/// # Returns
///
/// Returns a stream of chat completion responses.
///
/// # Example
///
/// ```rust,no_run
/// # use rainy_sdk::{RainyClient, ChatCompletionRequest, ChatMessage, MessageRole};
/// # use futures::StreamExt;
/// # async fn example() -> Result<(), Box<dyn std::error::Error>> {
/// let client = RainyClient::with_api_key("user-api-key")?;
///
/// let messages = vec![
/// ChatMessage::user("Tell me a story"),
/// ];
///
/// let request = ChatCompletionRequest::new("llama-3.1-8b-instant", messages)
/// .with_max_tokens(500)
/// .with_temperature(0.8)
/// .with_stream(true);
///
/// let mut stream = client.create_chat_completion_stream(request).await?;
///
/// while let Some(chunk) = stream.next().await {
/// match chunk {
/// Ok(response) => {
/// if let Some(choice) = response.choices.first() {
/// if let Some(content) = &choice.delta.content {
/// print!("{}", content);
/// }
/// }
/// }
/// Err(e) => eprintln!("Error: {}", e),
/// }
/// }
/// # Ok(())
/// # }
/// ```
pub async fn create_chat_completion_stream(
&self,
request: ChatCompletionRequest,
) -> Result<Pin<Box<dyn Stream<Item = Result<ChatCompletionStreamResponse>> + Send>>> {
use eventsource_stream::Eventsource;
use futures::StreamExt;
let mut request_with_stream = request;
request_with_stream.stream = Some(true);
let url = format!("{}/api/v1/chat/completions", self.auth_config().base_url);
let headers = self.auth_config().build_headers()?;
let response = self
.http_client()
.post(&url)
.headers(headers)
.json(&request_with_stream)
.send()
.await?;
if !response.status().is_success() {
return Err(self
.handle_response::<ChatCompletionStreamResponse>(response)
.await
.err()
.unwrap());
}
let stream = response
.bytes_stream()
.eventsource()
.filter_map(|event| async move {
match event {
Ok(event) => {
// Handle the [DONE] marker
if event.data.trim() == "[DONE]" {
return None;
}
// Parse the JSON data
match serde_json::from_str::<ChatCompletionStreamResponse>(&event.data) {
Ok(response) => Some(Ok(response)),
Err(e) => Some(Err(RainyError::Serialization {
message: e.to_string(),
source_error: Some(e.to_string()),
})),
}
}
Err(e) => {
// Convert eventsource error to RainyError
Some(Err(RainyError::Network {
message: format!("SSE parsing error: {e}"),
retryable: true,
source_error: Some(e.to_string()),
}))
}
}
});
Ok(Box::pin(stream))
}
/// Create a streaming OpenAI-compatible chat completion.
///
/// This method uses the same `/api/v1/chat/completions` route but accepts the full
/// OpenAI-compatible message format so callers can replay tool history without a
/// separate compatibility bridge.
pub async fn create_openai_chat_completion_stream(
&self,
request: OpenAIChatCompletionRequest,
) -> Result<Pin<Box<dyn Stream<Item = Result<ChatCompletionStreamResponse>> + Send>>> {
use eventsource_stream::Eventsource;
use futures::StreamExt;
let mut request_with_stream = request;
request_with_stream.stream = Some(true);
let url = format!("{}/api/v1/chat/completions", self.auth_config().base_url);
let headers = self.auth_config().build_headers()?;
let response = self
.http_client()
.post(&url)
.headers(headers)
.json(&request_with_stream)
.send()
.await?;
if !response.status().is_success() {
return Err(self
.handle_response::<ChatCompletionStreamResponse>(response)
.await
.err()
.unwrap());
}
let stream = response
.bytes_stream()
.eventsource()
.filter_map(|event| async move {
match event {
Ok(event) => {
if event.data.trim() == "[DONE]" {
return None;
}
match serde_json::from_str::<ChatCompletionStreamResponse>(&event.data) {
Ok(response) => Some(Ok(response)),
Err(e) => Some(Err(RainyError::Serialization {
message: e.to_string(),
source_error: Some(e.to_string()),
})),
}
}
Err(e) => Some(Err(RainyError::Network {
message: format!("SSE parsing error: {e}"),
retryable: true,
source_error: Some(e.to_string()),
})),
}
});
Ok(Box::pin(stream))
}
}