llm/providers/openai/
provider.rs

1use async_openai::{Client, config::Config, types::chat::CreateChatCompletionRequest};
2use async_stream;
3use std::error::Error;
4use tokio_stream::StreamExt;
5use tracing::{debug, error};
6
7use super::{
8    mappers::{map_messages, map_tools},
9    streaming::process_completion_stream,
10};
11use crate::provider::error_stream;
12use crate::{Context, LlmError, LlmResponseStream, StreamingModelProvider};
13
14/// A Provider that's compatible with `OpenAI`'s chat completion API
15/// Other providers (e.g. Ollama, Llama.cpp etc) that are "`OpenAI` compatible" should implement this trait
16pub trait OpenAiChatProvider {
17    type Config: Config + Clone + 'static;
18
19    fn client(&self) -> &Client<Self::Config>;
20    fn model(&self) -> &str;
21    fn provider_name(&self) -> &str;
22}
23
24impl<T: OpenAiChatProvider + Send + Sync> StreamingModelProvider for T {
25    fn stream_response(&self, context: &Context) -> LlmResponseStream {
26        let client = self.client().clone();
27        let model = self.model().to_string();
28        let prompt_cache_key = context.prompt_cache_key().map(String::from);
29        let messages = match map_messages(context.messages()) {
30            Ok(messages) => messages,
31            Err(e) => return error_stream(e),
32        };
33        let message_count = messages.len();
34        let tools = if context.tools().is_empty() {
35            None
36        } else {
37            match map_tools(context.tools(), None) {
38                Ok(t) => Some(t),
39                Err(e) => return error_stream(e),
40            }
41        };
42
43        Box::pin(async_stream::stream! {
44            debug!("Starting chat completion stream for model: {model}");
45
46            let req = CreateChatCompletionRequest {
47                model: model.clone(),
48                messages,
49                tools,
50                stream: Some(true),
51                prompt_cache_key,
52                ..Default::default()
53            };
54
55            debug!(
56                "Making request to Ollama API with model: {model} and {message_count} messages"
57            );
58
59            let stream = match client.chat().create_stream(req).await {
60                Ok(stream) => {
61                    debug!("Successfully created stream from Ollama API");
62                    stream
63                }
64                Err(e) => {
65                    error!("Failed to create stream from Ollama API: {:?}", e);
66
67                    // Check if it's a reqwest error with more details
68                    if let Some(reqwest_err) =
69                        e.source().and_then(|s| s.downcast_ref::<reqwest::Error>())
70                    {
71                        if let Some(url) = reqwest_err.url() {
72                            error!("Request URL was: {url}");
73                        }
74                        if let Some(status) = reqwest_err.status() {
75                            error!("HTTP status: {status}");
76                        }
77                    }
78
79                    yield Err(LlmError::ApiRequest(e.to_string()));
80                    return;
81                }
82            };
83
84            let stream = stream.map(|result| {
85                result.map_err(|e| LlmError::ApiError(e.to_string()))
86            });
87
88            let mut shared_stream = Box::pin(process_completion_stream(stream));
89            while let Some(result) = shared_stream.next().await {
90                yield result;
91            }
92        })
93    }
94
95    fn context_window(&self) -> Option<u32> {
96        None
97    }
98
99    fn display_name(&self) -> String {
100        let model = self.model();
101        if model.is_empty() { self.provider_name().to_string() } else { format!("{} ({model})", self.provider_name()) }
102    }
103}
llm/providers/openai/provider.rs

llm/providers/openai/
provider.rs
