Function fetch_openai_models

src-tauri/src/services/model_service.rs:55–87

(base_url: &str, api_key: Option<&str>)

}

async fn fetch_openai_models(base_url: &str, api_key: Option<&str>) -> AppResult<Vec<String>> {
    let url = format!("{}/models", base_url.trim_end_matches('/'));
    let client = http_client::request_client()?;
    let mut req = client.get(&url);

    if let Some(key) = api_key {
        if !key.is_empty() {
            req = req.bearer_auth(key);
        }
    }

    let resp = req
        .send()
        .await
        .map_err(|e| AppError::Internal(format!("Failed to fetch models: {e}")))?;

    if !resp.status().is_success() {
        let status = resp.status();
        let body = resp.text().await.unwrap_or_default();
        return Err(AppError::Internal(format!(
            "Models endpoint returned {status}: {body}"
        )));
    }

    let list: ModelList = resp
        .json()
        .await
        .map_err(|e| AppError::Internal(format!("Failed to parse models response: {e}")))?;

    let mut ids: Vec<String> = list.data.into_iter().map(|m| m.id).collect();
    ids.sort();
    Ok(ids)
}

/// Fetch models from an Anthropic-format endpoint.
///