anyllm_proxy 0.9.1

HTTP proxy translating Anthropic Messages API to OpenAI Chat Completions
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81

// Audio passthrough handlers: forward requests to the backend unchanged.
// Supports /v1/audio/transcriptions (multipart) and /v1/audio/speech (JSON -> binary).

use crate::server::state::AppState;
use axum::{
    extract::State,
    http::{header, HeaderMap, StatusCode},
    response::{IntoResponse, Response},
};

/// POST /v1/audio/transcriptions -- multipart/form-data passthrough.
/// Forwards the raw body (including multipart boundary) to the backend.
pub async fn audio_transcriptions(
    State(state): State<AppState>,
    headers: HeaderMap,
    body: axum::body::Bytes,
) -> Response {
    let content_type = headers
        .get(header::CONTENT_TYPE)
        .and_then(|v| v.to_str().ok())
        .unwrap_or("multipart/form-data")
        .to_string();

    passthrough_response(&state, "/v1/audio/transcriptions", body, &content_type).await
}

/// POST /v1/audio/speech -- JSON in, binary audio out.
/// Forwards the JSON body to the backend and streams the audio response bytes back.
pub async fn audio_speech(
    State(state): State<AppState>,
    headers: HeaderMap,
    body: axum::body::Bytes,
) -> Response {
    let content_type = headers
        .get(header::CONTENT_TYPE)
        .and_then(|v| v.to_str().ok())
        .unwrap_or("application/json")
        .to_string();

    passthrough_response(&state, "/v1/audio/speech", body, &content_type).await
}

/// Shared passthrough logic: forward to backend, return response unchanged.
async fn passthrough_response(
    state: &AppState,
    path: &str,
    body: axum::body::Bytes,
    content_type: &str,
) -> Response {
    state.metrics.record_request();

    match state
        .backend
        .raw_passthrough(path, body, content_type)
        .await
    {
        Ok((status, resp_headers, resp_body)) => {
            if status.is_success() {
                state.metrics.record_success();
            } else {
                state.metrics.record_error();
            }
            let mut response = (status, resp_body).into_response();
            for (k, v) in &resp_headers {
                response.headers_mut().insert(k, v.clone());
            }
            response
        }
        Err(e) => {
            state.metrics.record_error();
            tracing::error!("audio passthrough error: {e}");
            let err = anyllm_translate::mapping::errors_map::create_anthropic_error(
                anyllm_translate::anthropic::ErrorType::ApiError,
                "An internal error occurred while communicating with the upstream service."
                    .to_string(),
                None,
            );
            (StatusCode::INTERNAL_SERVER_ERROR, axum::Json(err)).into_response()
        }
    }
}