gemini-cost-tracker
Version:
CLI tool to display token usage and costs for Gemini and Vertex AI
318 lines • 14.9 kB
JavaScript
import { Logging } from '@google-cloud/logging';
import MonitoringClient from '@google-cloud/monitoring';
import { AppError, ErrorCode } from '../../types/index.js';
import { logger } from '../../utils/logger.js';
export class RealUsageClient {
logging;
monitoring;
authManager;
projectId;
constructor(authManager) {
this.authManager = authManager;
this.projectId = '';
}
async initialize() {
try {
const gcpCredentials = await this.authManager.getGcpCredentials();
this.projectId = gcpCredentials.projectId;
// Initialize Google Cloud clients
const clientConfig = {
projectId: this.projectId,
};
// Use service account key file if provided
if (gcpCredentials.keyFile) {
clientConfig.keyFilename = gcpCredentials.keyFile;
}
this.logging = new Logging(clientConfig);
this.monitoring = new MonitoringClient.MetricServiceClient(clientConfig);
logger.info('Real usage client initialized', { projectId: this.projectId });
}
catch (error) {
throw new AppError(ErrorCode.REAL_USAGE_INIT_ERROR, `Failed to initialize real usage client: ${error instanceof Error ? error.message : 'Unknown error'}`);
}
}
async getUsage(params) {
// Validate date range
if (params.startDate >= params.endDate) {
throw new AppError(ErrorCode.VALIDATION_ERROR, 'Start date must be before end date');
}
try {
await this.initialize();
logger.info('Fetching real API usage data', {
projectId: this.projectId,
startDate: params.startDate.toISOString(),
endDate: params.endDate.toISOString(),
});
// Get usage data from multiple sources
const [geminiUsage, vertexUsage] = await Promise.all([
this.getGeminiUsageFromLogs(params),
this.getVertexUsageFromMonitoring(params),
]);
const allUsage = [...geminiUsage, ...vertexUsage];
// Apply filters
let filteredUsage = allUsage;
if (params.model) {
filteredUsage = filteredUsage.filter((usage) => usage.model === params.model);
}
if (params.project) {
filteredUsage = filteredUsage.filter((usage) => usage.project === params.project);
}
logger.info(`Retrieved ${filteredUsage.length} real usage records`);
return filteredUsage;
}
catch (error) {
if (error instanceof AppError) {
throw error;
}
// Fallback to existing mock data if real data retrieval fails
logger.warn('Failed to fetch real usage data, falling back to mock data', {
error: error instanceof Error ? error.message : 'Unknown error',
stack: error instanceof Error ? error.stack : undefined,
});
return this.generateFallbackData(params);
}
}
async getGeminiUsageFromLogs(params) {
try {
const filter = `
protoPayload.serviceName="generativelanguage.googleapis.com"
AND protoPayload.methodName="google.ai.generativelanguage.v1beta.GenerativeService.GenerateContent"
AND timestamp >= "${params.startDate.toISOString()}"
AND timestamp <= "${params.endDate.toISOString()}"
`;
if (!this.logging) {
throw new Error('Logging client not initialized');
}
const [entries] = await this.logging.getEntries({
filter: filter.trim(),
pageSize: 1000,
orderBy: 'timestamp desc',
});
const usage = [];
for (const entry of entries) {
try {
// eslint-disable-next-line @typescript-eslint/no-explicit-any
const logData = entry.data;
// eslint-disable-next-line @typescript-eslint/no-explicit-any
const metadata = entry.metadata;
const timestamp = new Date(metadata.timestamp);
// Extract model information from the request
const modelMatch = logData.protoPayload?.resourceName?.match(/models\/(.+):/);
const model = modelMatch ? modelMatch[1] : 'gemini-pro';
// Try to extract token usage from response or request
let inputTokens = 0;
let outputTokens = 0;
// Look for usage metadata in the response
if (logData.protoPayload?.response?.usageMetadata) {
const usageMetadata = logData.protoPayload.response.usageMetadata;
inputTokens = usageMetadata.promptTokenCount || 0;
outputTokens = usageMetadata.candidatesTokenCount || 0;
}
else {
// Estimate token usage from request/response size if exact data not available
const requestText = JSON.stringify(logData.protoPayload?.request || '');
const responseText = JSON.stringify(logData.protoPayload?.response || '');
// Rough estimation: 1 token ≈ 4 characters
inputTokens = Math.ceil(requestText.length / 4);
outputTokens = Math.ceil(responseText.length / 4);
}
if (inputTokens > 0 || outputTokens > 0) {
usage.push({
id: `real-gemini-${timestamp.getTime()}-${Math.random().toString(36).substr(2, 9)}`,
timestamp,
service: 'gemini',
model,
inputTokens,
outputTokens,
project: this.projectId,
region: logData.protoPayload?.request?.location || 'us-central1',
});
}
}
catch (entryError) {
logger.warn('Failed to parse log entry', {
error: entryError instanceof Error ? entryError.message : String(entryError),
});
continue;
}
}
logger.info(`Extracted ${usage.length} Gemini usage records from logs`);
return usage;
}
catch (error) {
logger.error('Failed to fetch Gemini usage from logs', {
error: error instanceof Error ? error.message : String(error),
stack: error instanceof Error ? error.stack : undefined,
projectId: this.projectId,
});
return [];
}
}
async getVertexUsageFromMonitoring(params) {
try {
// Query Cloud Monitoring for Vertex AI API usage
const request = {
name: `projects/${this.projectId}`,
filter: 'metric.type="aiplatform.googleapis.com/prediction/request_count"',
interval: {
startTime: {
seconds: Math.floor(params.startDate.getTime() / 1000),
},
endTime: {
seconds: Math.floor(params.endDate.getTime() / 1000),
},
},
aggregation: {
alignmentPeriod: {
seconds: 3600, // 1 hour buckets
},
perSeriesAligner: 1, // ALIGN_RATE
crossSeriesReducer: 4, // REDUCE_SUM
groupByFields: ['resource.label.model_id'],
},
};
if (!this.monitoring) {
throw new Error('Monitoring client not initialized');
}
const response = await this.monitoring.listTimeSeries(request);
const timeSeries = response[0] || [];
const usage = [];
for (const series of timeSeries) {
try {
const modelId = series.resource?.labels?.model_id || 'text-bison-001';
for (const point of series.points || []) {
if (point.interval?.startTime?.seconds && point.value?.doubleValue) {
const timestamp = new Date(Number(point.interval.startTime.seconds) * 1000);
const requestCount = Math.round(point.value.doubleValue);
if (requestCount > 0) {
// Estimate token usage based on request count
// This is an approximation - actual implementation would need more detailed metrics
const avgInputTokens = 1000; // Average input tokens per request
const avgOutputTokens = 500; // Average output tokens per request
usage.push({
id: `real-vertex-${timestamp.getTime()}-${Math.random().toString(36).substr(2, 9)}`,
timestamp,
service: 'vertex-ai',
model: modelId,
inputTokens: requestCount * avgInputTokens,
outputTokens: requestCount * avgOutputTokens,
project: this.projectId,
region: 'us-central1',
});
}
}
}
}
catch (seriesError) {
logger.warn('Failed to parse monitoring series', {
error: seriesError instanceof Error ? seriesError.message : String(seriesError),
});
continue;
}
}
logger.info(`Extracted ${usage.length} Vertex AI usage records from monitoring`);
return usage;
}
catch (error) {
logger.error('Failed to fetch Vertex usage from monitoring', {
error: error instanceof Error ? error.message : String(error),
stack: error instanceof Error ? error.stack : undefined,
projectId: this.projectId,
});
return [];
}
}
// Billing API integration method (future implementation)
// private async getBillingData(_params: UsageParams): Promise<Usage[]> {
// try {
// // This would use Cloud Billing API to get actual billing data
// // Currently not implemented due to complexity and permissions required
// logger.info('Billing API integration not yet implemented');
// return [];
// } catch (error) {
// logger.error('Failed to fetch billing data', { error });
// return [];
// }
// }
generateFallbackData(params) {
// Return enhanced mock data when real data is unavailable
const mockData = [];
const daysDiff = Math.ceil((params.endDate.getTime() - params.startDate.getTime()) / (1000 * 60 * 60 * 24));
// Generate more realistic data based on actual usage patterns
for (let i = 0; i < Math.min(daysDiff, 5); i++) {
const date = new Date(params.startDate);
date.setDate(date.getDate() + i);
// Gemini usage
mockData.push({
id: `fallback-gemini-${date.toISOString().split('T')[0]}-${i}`,
timestamp: date,
service: 'gemini',
model: params.model || 'gemini-1.5-flash',
inputTokens: Math.floor(Math.random() * 5000) + 500,
outputTokens: Math.floor(Math.random() * 2000) + 200,
project: params.project || this.projectId,
region: 'us-central1',
});
// Vertex AI usage
mockData.push({
id: `fallback-vertex-${date.toISOString().split('T')[0]}-${i}`,
timestamp: date,
service: 'vertex-ai',
model: params.model || 'text-bison-001',
inputTokens: Math.floor(Math.random() * 4000) + 400,
outputTokens: Math.floor(Math.random() * 1500) + 150,
project: params.project || this.projectId,
region: 'us-central1',
});
}
logger.info(`Generated ${mockData.length} fallback usage records`);
return mockData;
}
async testConnections() {
const results = { logging: false, monitoring: false };
try {
await this.initialize();
// Test logging connection
try {
if (this.logging) {
await this.logging.getEntries({ pageSize: 1 });
results.logging = true;
logger.info('Logging API connection successful');
}
}
catch (error) {
logger.warn('Logging API connection failed', {
error: error instanceof Error ? error.message : String(error),
});
}
// Test monitoring connection
try {
if (this.monitoring) {
await this.monitoring.listTimeSeries({
name: `projects/${this.projectId}`,
filter: 'metric.type="compute.googleapis.com/instance/up"',
interval: {
startTime: { seconds: Math.floor(Date.now() / 1000) - 3600 },
endTime: { seconds: Math.floor(Date.now() / 1000) },
},
});
results.monitoring = true;
logger.info('Monitoring API connection successful');
}
}
catch (error) {
logger.warn('Monitoring API connection failed', {
error: error instanceof Error ? error.message : String(error),
});
}
}
catch (error) {
logger.error('Failed to test connections', {
error: error instanceof Error ? error.message : String(error),
stack: error instanceof Error ? error.stack : undefined,
});
}
return results;
}
}
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