magicapi-ai-gateway 1.0.0

[DEPRECATED] This package has been renamed to 'noveum-ai-gateway'. Please use the new package for all future development. A high-performance AI Gateway proxy for routing requests to various AI providers, offering seamless integration and management of multiple AI providers.
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use super::Provider;
use crate::error::AppError;
use crate::telemetry::provider_metrics::{MetricsExtractor, ProviderMetrics};
use async_trait::async_trait;
use axum::http::HeaderMap;
use serde_json::{Value, json};
use tracing::{debug, error};
use std::cell::RefCell;
use axum::{
    body::{Body, to_bytes},
    http::{HeaderValue, Response},
};
use chrono;

thread_local! {
    static ANTHROPIC_INPUT_TOKENS: RefCell<Option<u32>> = RefCell::new(None);
}

pub struct AnthropicProvider {
    base_url: String,
}

impl AnthropicProvider {
    pub fn new() -> Self {
        Self {
            base_url: "https://api.anthropic.com".to_string(),
        }
    }
}

#[async_trait]
impl Provider for AnthropicProvider {
    fn base_url(&self) -> String {
        self.base_url.clone()
    }

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

    fn transform_path(&self, path: &str) -> String {
        if path.contains("/chat/completions") {
            "/v1/messages".to_string()
        } else {
            path.to_string()
        }
    }

    fn process_headers(&self, original_headers: &HeaderMap) -> Result<HeaderMap, AppError> {
        debug!("Processing Anthropic request headers");
        let mut headers = HeaderMap::new();

        // Add content type
        headers.insert(
            http::header::CONTENT_TYPE,
            http::header::HeaderValue::from_static("application/json"),
        );

        // Add Anthropic version header
        headers.insert(
            http::header::HeaderName::from_static("anthropic-version"),
            http::header::HeaderValue::from_static("2023-06-01"),
        );

        // Process authentication
        if let Some(auth) = original_headers
            .get("authorization")
            .and_then(|h| h.to_str().ok())
        {
            debug!("Converting Bearer token to x-api-key format");
            let api_key = auth.trim_start_matches("Bearer ");
            headers.insert(
                http::header::HeaderName::from_static("x-api-key"),
                http::header::HeaderValue::from_str(api_key).map_err(|_| {
                    error!("Failed to process Anthropic authorization header");
                    AppError::InvalidHeader
                })?,
            );
        } else {
            error!("No authorization header found for Anthropic request");
            return Err(AppError::MissingApiKey);
        }

        Ok(headers)
    }

    async fn process_response(&self, response: Response<Body>) -> Result<Response<Body>, AppError> {
        // Clone response parts and body
        let (mut parts, body) = response.into_parts();
        
        // Check if it's a streaming response
        let is_streaming = parts.headers.get(http::header::CONTENT_TYPE)
            .and_then(|v| v.to_str().ok())
            .map_or(false, |ct| ct.contains("text/event-stream"));
        
        // For streaming responses, we need to add the request ID header if it's available in other headers
        if is_streaming {
            // Anthropic sometimes includes a request-id header directly, let's check for it
            let request_id = parts.headers.get("request-id")
                .and_then(|v| v.to_str().ok())
                .map(|id| id.to_string());
            
            // If we found a request_id, add it as an x-request-id header
            if let Some(id) = request_id {
                debug!("Adding Anthropic request ID to streaming response headers: {}", id);
                if let Ok(header_value) = HeaderValue::from_str(&id) {
                    parts.headers.insert("x-request-id", header_value);
                }
            } else {
                // For Anthropic, we might need to extract from the first streaming chunk
                // For now, we'll rely on the telemetry middleware to extract the request ID 
                // from the streaming chunks and include it in the metrics
                debug!("No request-id header found for Anthropic streaming response");
            }
            
            // Currently, we'll return the original streaming response without transformation
            // as transforming streams is complex and should be implemented more carefully
            
            // TODO: Implement proper streaming transformation for Anthropic to OpenAI format
            // This would require inspecting each chunk, transforming it to OpenAI format,
            // and reconstructing the stream. For now, we'll focus on regular responses.
            debug!("Returning streaming response without transformation");
            return Ok(Response::from_parts(parts, body));
        }
        
        // For regular responses, extract request_id from body and transform to OpenAI format
        let bytes = to_bytes(body, usize::MAX).await?;
        
        // Check if we have a request-id header in the response
        let request_id = parts.headers.get("request-id")
            .and_then(|v| v.to_str().ok())
            .map(|id| id.to_string());
        
        // If we found a request_id in the headers, add it as an x-request-id header
        if let Some(id) = request_id.clone() {
            debug!("Adding Anthropic request ID from headers to response: {}", id);
            if let Ok(header_value) = HeaderValue::from_str(&id) {
                parts.headers.insert("x-request-id", header_value);
            }
        }
        
        // Always try to parse the response as JSON
        if let Ok(json) = serde_json::from_slice::<Value>(&bytes) {
            debug!("Successfully parsed response body as JSON: {:?}", json);
            
            // If we couldn't find a request_id in the headers, try to extract it from the body as a fallback
            let body_request_id = if request_id.is_none() {
                if let Some(id) = json.get("id").and_then(|v| v.as_str()) {
                    Some(id.to_string())
                } else if let Some(message) = json.get("message") {
                    message.get("id").and_then(|v| v.as_str()).map(|id| id.to_string())
                } else {
                    None
                }
            } else {
                None
            };
            
            // If we found a request_id in the body (and not in headers), add it as an x-request-id header
            if let Some(id) = body_request_id {
                debug!("Adding Anthropic request ID from body to response headers: {}", id);
                if let Ok(header_value) = HeaderValue::from_str(&id) {
                    parts.headers.insert("x-request-id", header_value);
                }
            }
            
            // Extract the ID from the JSON response for later use
            let json_id = json.get("id").and_then(|v| v.as_str()).map(String::from);
            
            // Transform Anthropic API response to OpenAI format
            let transformed_response = transform_anthropic_to_openai_format(json);
            debug!("Transformed Anthropic response to OpenAI format");
            
            // Ensure x-request-id header is set in the response
            if !parts.headers.contains_key("x-request-id") {
                if let Some(id) = json_id {
                    debug!("Setting x-request-id header from Anthropic response ID: {}", id);
                    if let Ok(header_value) = HeaderValue::from_str(&id) {
                        parts.headers.insert("x-request-id", header_value);
                    }
                }
            }
            
            // Return the modified response
            return Ok(Response::from_parts(parts, Body::from(serde_json::to_vec(&transformed_response)?)));
        } else {
            debug!("Failed to parse response body as JSON, returning original response");
        }
        
        // If we couldn't parse the JSON, return the original response
        Ok(Response::from_parts(parts, Body::from(bytes)))
    }
}

// Anthropic-specific metrics extractor
pub struct AnthropicMetricsExtractor;

impl MetricsExtractor for AnthropicMetricsExtractor {
    fn extract_metrics(&self, response_body: &Value) -> ProviderMetrics {
        debug!("Extracting Anthropic metrics from response: {}", response_body);
        let mut metrics = ProviderMetrics::default();
        
        // Extract usage data
        if let Some(usage) = response_body.get("usage") {
            metrics.input_tokens = usage.get("input_tokens").and_then(|v| v.as_u64()).map(|v| v as u32);
            metrics.output_tokens = usage.get("output_tokens").and_then(|v| v.as_u64()).map(|v| v as u32);
            
            // Calculate total tokens if both input and output tokens are available
            if let (Some(input), Some(output)) = (metrics.input_tokens, metrics.output_tokens) {
                metrics.total_tokens = Some(input + output);
            }
            // If only one is available, use that as the total
            else if metrics.input_tokens.is_some() {
                metrics.total_tokens = metrics.input_tokens;
            } 
            else if metrics.output_tokens.is_some() {
                metrics.total_tokens = metrics.output_tokens;
            }
        }

        // Extract model information
        if let Some(model) = response_body.get("model").and_then(|v| v.as_str()) {
            metrics.model = model.to_string();
            
            // Calculate cost if we have token information
            if let Some(total_tokens) = metrics.total_tokens {
                metrics.cost = Some(calculate_anthropic_cost(&metrics.model, total_tokens));
            }
        }

        // Extract message ID to use as request ID
        if let Some(id) = response_body.get("id").and_then(|v| v.as_str()) {
            debug!("Found Anthropic message ID: {}", id);
            metrics.request_id = Some(id.to_string());
        } else if let Some(message) = response_body.get("message") {
            if let Some(id) = message.get("id").and_then(|v| v.as_str()) {
                debug!("Found Anthropic message ID in message object: {}", id);
                metrics.request_id = Some(id.to_string());
            }
        }

        debug!("Final extracted Anthropic metrics: {:?}", metrics);
        metrics
    }
    
    fn try_extract_provider_specific_streaming_metrics(&self, chunk: &str) -> Option<ProviderMetrics> {
        debug!("Attempting to extract metrics from Anthropic streaming chunk: {}", chunk);
        
        // Try to parse the chunk as JSON
        if let Ok(json) = serde_json::from_str::<Value>(chunk) {
            // Get event type
            let event_type = json.get("type").and_then(|t| t.as_str())?;
            
            // Create metrics object
            let mut metrics = ProviderMetrics::default();
            metrics.model = "claude".to_string();
            
            // Extract model if available
            if let Some(model) = json.get("message").and_then(|m| m.get("model")).and_then(|v| v.as_str()) {
                metrics.model = model.to_string();
            }
            
            // Process message_start event - this contains input tokens
            if event_type == "message_start" {
                if let Some(message) = json.get("message") {
                    if let Some(usage) = message.get("usage") {
                        if let Some(input_tokens) = usage.get("input_tokens").and_then(|v| v.as_u64()).map(|v| v as u32) {
                            // Store input tokens for later
                            ANTHROPIC_INPUT_TOKENS.with(|tokens| {
                                *tokens.borrow_mut() = Some(input_tokens);
                                debug!("Stored input tokens from message_start: {}", input_tokens);
                            });
                            
                            // Set input tokens in metrics
                            metrics.input_tokens = Some(input_tokens);
                            metrics.total_tokens = Some(input_tokens);
                            
                            // Extract request ID if available
                            if let Some(id) = message.get("id").and_then(|v| v.as_str()) {
                                metrics.request_id = Some(id.to_string());
                            }
                            
                            return Some(metrics);
                        }
                    }
                }
            }
            
            // Process message_delta event - this usually contains output tokens at the end 
            else if event_type == "message_delta" {
                if let Some(usage) = json.get("usage") {
                    if let Some(output_tokens) = usage.get("output_tokens").and_then(|v| v.as_u64()).map(|v| v as u32) {
                        // Get the stored input tokens
                        let input_tokens = ANTHROPIC_INPUT_TOKENS.with(|tokens| *tokens.borrow());
                        
                        // Set output tokens
                        metrics.output_tokens = Some(output_tokens);
                        
                        // Set input tokens from stored value
                        metrics.input_tokens = input_tokens;
                        
                        // Calculate total tokens
                        if let Some(input) = input_tokens {
                            metrics.total_tokens = Some(input + output_tokens);
                            metrics.cost = Some(calculate_anthropic_cost(&metrics.model, input + output_tokens));
                            debug!("Combined stored input tokens ({}) with output tokens ({}) in message_delta", 
                                   input, output_tokens);
                        } else {
                            metrics.total_tokens = Some(output_tokens);
                            metrics.cost = Some(calculate_anthropic_cost(&metrics.model, output_tokens));
                            debug!("No stored input tokens, using only output tokens ({}) in message_delta", output_tokens);
                        }
                        
                        return Some(metrics);
                    }
                }
            }
        }
        
        None
    }
}

// Helper function for Anthropic-specific cost calculation
fn calculate_anthropic_cost(model: &str, total_tokens: u32) -> f64 {
    let tokens = total_tokens as f64;
    
    match model {
        // Claude 3.5 models
        m if m.contains("claude-3.5-sonnet") => tokens * 0.000003, // $3.00 per million tokens
        
        // Claude 3 models
        m if m.contains("claude-3-opus") => tokens * 0.000015, // $15.00 per million tokens
        m if m.contains("claude-3-sonnet") => tokens * 0.000003, // $3.00 per million tokens
        m if m.contains("claude-3-haiku") => tokens * 0.000000125, // $0.25 per million input, $1.25 per million output, using average
        
        // Claude 2 models
        m if m.contains("claude-2") => tokens * 0.000008, // $8.00 per million tokens
        
        // Claude Instant models
        m if m.contains("claude-instant") => tokens * 0.000001, // $1.00 per million tokens
        
        // Generic fallbacks by model family
        m if m.contains("claude-3") => tokens * 0.000003, // Use Sonnet pricing as default for Claude 3
        m if m.contains("claude") => tokens * 0.000002, // Use a conservative estimate for unknown Claude models
        
        // Default case
        _ => {
            debug!("Unknown Anthropic model for cost calculation: {}", model);
            tokens * 0.000002 // Conservative default
        },
    }
}

// Convert Anthropic API response format to OpenAI format
fn transform_anthropic_to_openai_format(anthropic_response: Value) -> Value {
    // Extract content from Anthropic's array-based content structure
    let content = if let Some(content_array) = anthropic_response.get("content").and_then(|c| c.as_array()) {
        // Extract text content from content array (typically contains objects with "type" and "text")
        let mut text = String::new();
        for item in content_array {
            if let Some(item_text) = item.get("text").and_then(|t| t.as_str()) {
                text.push_str(item_text);
            }
        }
        text
    } else {
        // Fallback if content structure is different
        anthropic_response.get("content").and_then(|c| c.as_str()).unwrap_or("").to_string()
    };
    
    // Map Anthropic usage fields to OpenAI format
    let usage = {
        let mut usage_map = json!({
            "prompt_tokens": 0,
            "completion_tokens": 0,
            "total_tokens": 0
        });
        
        if let Some(anthropic_usage) = anthropic_response.get("usage") {
            // Map input_tokens to prompt_tokens
            if let Some(input_tokens) = anthropic_usage.get("input_tokens").and_then(|t| t.as_u64()) {
                usage_map["prompt_tokens"] = json!(input_tokens);
            }
            
            // Map output_tokens to completion_tokens
            if let Some(output_tokens) = anthropic_usage.get("output_tokens").and_then(|t| t.as_u64()) {
                usage_map["completion_tokens"] = json!(output_tokens);
            }
            
            // Calculate total tokens
            let prompt_tokens = usage_map["prompt_tokens"].as_u64().unwrap_or(0);
            let completion_tokens = usage_map["completion_tokens"].as_u64().unwrap_or(0);
            usage_map["total_tokens"] = json!(prompt_tokens + completion_tokens);
        }
        
        usage_map
    };
    
    // Map stop_reason to finish_reason (Anthropic uses "end_turn", "max_tokens", etc.)
    let finish_reason = match anthropic_response.get("stop_reason").and_then(|r| r.as_str()) {
        Some("end_turn") => "stop",
        Some("max_tokens") => "length",
        Some("stop_sequence") => "stop",
        Some(reason) => reason,
        None => "stop" // Default
    };
    
    // Create OpenAI-compatible format
    let mut transformed = json!({
        "id": anthropic_response.get("id").unwrap_or(&Value::Null),
        "object": "chat.completion",
        "created": chrono::Utc::now().timestamp(),
        "model": anthropic_response.get("model").unwrap_or(&Value::Null),
        "type": anthropic_response.get("type").unwrap_or(&json!("message")),
        "role": anthropic_response.get("role").unwrap_or(&json!("assistant")),
        "choices": [{
            "index": 0,
            "message": {
                "role": anthropic_response.get("role").unwrap_or(&json!("assistant")),
                "content": content
            },
            "finish_reason": finish_reason
        }],
        "usage": usage,
        "system_fingerprint": format!("anthropic-{}", anthropic_response.get("model").and_then(|m| m.as_str()).unwrap_or("claude"))
    });
    
    // Handle the seed value - convert to string if present to avoid Elasticsearch long integer overflow
    if let Some(seed) = anthropic_response.get("seed") {
        if let Some(choices) = transformed.get_mut("choices").and_then(|c| c.as_array_mut()) {
            for choice in choices {
                if seed.is_number() {
                    // Convert the numeric seed to a string to avoid Elasticsearch integer range issues
                    choice["seed"] = json!(seed.to_string());
                } else {
                    // If it's already a string or other type, just preserve it
                    choice["seed"] = seed.clone();
                }
            }
        }
    }
    
    transformed
}