reflex-search 1.2.0

//! OpenAI-compatible provider for self-hosted / third-party endpoints
//!
//! Supports any inference server that implements the OpenAI Chat Completions
//! schema, including LMStudio, llama.cpp server, vLLM, Ollama (via /v1 shim),
//! and litellm proxies. The API key is optional since many local servers do
//! not require authentication.

use super::LlmProvider;
use anyhow::{Context, Result};
use async_trait::async_trait;
use serde_json::json;

pub struct OpenAiCompatibleProvider {
    client: reqwest::Client,
    api_key: Option<String>,
    model: String,
    base_url: String,
}

impl OpenAiCompatibleProvider {
    pub fn new(api_key: Option<String>, model: String, base_url: String) -> Result<Self> {
        if model.trim().is_empty() {
            anyhow::bail!(
                "openai-compatible provider requires a model name (no default available for self-hosted endpoints)"
            );
        }
        if base_url.trim().is_empty() {
            anyhow::bail!("openai-compatible provider requires a non-empty base_url");
        }

        let normalized_base = base_url.trim_end_matches('/').to_string();

        Ok(Self {
            client: reqwest::Client::new(),
            api_key: api_key.filter(|k| !k.is_empty()),
            model,
            base_url: normalized_base,
        })
    }
}

#[async_trait]
impl LlmProvider for OpenAiCompatibleProvider {
    async fn complete(&self, prompt: &str, json_mode: bool) -> Result<String> {
        let mut request_body = json!({
            "model": self.model,
            "messages": [
                {
                    "role": "user",
                    "content": prompt
                }
            ],
            "temperature": 0.1,
            "max_tokens": 4000,
        });

        if json_mode {
            request_body["response_format"] = json!({
                "type": "json_object"
            });
        }

        let url = format!("{}/chat/completions", self.base_url);
        let mut request = self
            .client
            .post(&url)
            .header("Content-Type", "application/json");

        if let Some(api_key) = &self.api_key {
            request = request.header("Authorization", format!("Bearer {}", api_key));
        }

        let response = request
            .json(&request_body)
            .send()
            .await
            .with_context(|| format!("Failed to send request to OpenAI-compatible endpoint at {}", url))?;

        if !response.status().is_success() {
            let status = response.status();
            let error_text = response
                .text()
                .await
                .unwrap_or_else(|_| "Unknown error".to_string());
            anyhow::bail!(
                "OpenAI-compatible API error from {} ({}): {}",
                url,
                status,
                error_text
            );
        }

        let data: serde_json::Value = response
            .json()
            .await
            .context("Failed to parse OpenAI-compatible response as JSON")?;

        let content = data["choices"][0]["message"]["content"]
            .as_str()
            .context("No content in OpenAI-compatible response")?;

        Ok(content.to_string())
    }

    fn name(&self) -> &str {
        "openai-compatible"
    }

    fn default_model(&self) -> &str {
        ""
    }
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_new_with_key_and_model() {
        let provider = OpenAiCompatibleProvider::new(
            Some("sk-test".to_string()),
            "qwen2.5-coder".to_string(),
            "http://localhost:1234/v1".to_string(),
        )
        .unwrap();
        assert_eq!(provider.name(), "openai-compatible");
        assert_eq!(provider.model, "qwen2.5-coder");
        assert_eq!(provider.base_url, "http://localhost:1234/v1");
        assert_eq!(provider.api_key.as_deref(), Some("sk-test"));
    }

    #[test]
    fn test_new_without_key_for_local_server() {
        let provider = OpenAiCompatibleProvider::new(
            None,
            "llama-3".to_string(),
            "http://localhost:11434/v1".to_string(),
        )
        .unwrap();
        assert!(provider.api_key.is_none());
    }

    #[test]
    fn test_new_treats_empty_key_as_none() {
        let provider = OpenAiCompatibleProvider::new(
            Some(String::new()),
            "llama-3".to_string(),
            "http://localhost:11434/v1".to_string(),
        )
        .unwrap();
        assert!(provider.api_key.is_none());
    }

    #[test]
    fn test_new_trims_trailing_slash_from_base_url() {
        let provider = OpenAiCompatibleProvider::new(
            None,
            "llama-3".to_string(),
            "http://localhost:1234/v1/".to_string(),
        )
        .unwrap();
        assert_eq!(provider.base_url, "http://localhost:1234/v1");
    }

    #[test]
    fn test_new_rejects_empty_model() {
        let result = OpenAiCompatibleProvider::new(
            None,
            String::new(),
            "http://localhost:1234/v1".to_string(),
        );
        assert!(result.is_err());
        if let Err(e) = result {
            assert!(e.to_string().contains("model name"));
        }
    }

    #[test]
    fn test_new_rejects_empty_base_url() {
        let result = OpenAiCompatibleProvider::new(
            None,
            "llama-3".to_string(),
            String::new(),
        );
        assert!(result.is_err());
        if let Err(e) = result {
            assert!(e.to_string().contains("base_url"));
        }
    }
}