Testing patterns for PHPUnit and Playwright E2E tests. Use when writing tests, debugging test failures, setting up test coverage, or implementing test patterns for ActivityPub features.
日本語の概要は準備中です。原文の説明を表示しています。
Tracks LLM token consumption and usage metrics for billing, monitoring, and optimization. Use this to log token usage, calculate costs, generate invoices, and understand which agents or users consume the most resources.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Usage tracking records how many tokens each agent uses, enabling accurate billing, cost monitoring, and performance optimization. Essential for understanding LLM costs and user impact.
Create a handler to log usage:
// convex/agents/myAgent.ts
import { Agent } from "@convex-dev/agent";
import { components } from "../_generated/api";
import { openai } from "@ai-sdk/openai";
import { internal } from "../_generated/api";
const myAgent = new Agent(components.agent, {
name: "My Agent",
languageModel: openai.chat("gpt-4o-mini"),
usageHandler: async (ctx, args) => {
const {
userId,
threadId,
agentName,
model,
provider,
usage, // { inputTokens, outputTokens, totalTokens }
providerMetadata,
} = args;
// Save usage to database
await ctx.runMutation(internal.usage.recordUsage, {
userId,
threadId,
agentName,
model,
provider,
inputTokens: usage.inputTokens,
outputTokens: usage.outputTokens,
totalTokens: usage.totalTokens,
timestamp: Date.now(),
});
},
});
Save usage data for later analysis:
// convex/usage.ts
import { internalMutation } from "./_generated/server";
import { v } from "convex/values";
import { defineTable, defineSchema } from "convex/server";
export const schema = defineSchema({
usage: defineTable({
userId: v.string(),
threadId: v.optional(v.string()),
agentName: v.optional(v.string()),
model: v.string(),
provider: v.string(),
inputTokens: v.number(),
outputTokens: v.number(),
totalTokens: v.number(),
cost: v.number(), // Cost in dollars
date: v.string(), // ISO date for daily rollups
billingPeriod: v.string(), // YYYY-MM for monthly
})
.index("billingPeriod_userId", ["billingPeriod", "userId"])
.index("date_userId", ["date", "userId"])
.index("userId", ["userId"]),
invoices: defineTable({
userId: v.string(),
billingPeriod: v.string(),
amount: v.number(),
status: v.union(
v.literal("pending"),
v.literal("paid"),
v.literal("failed")
),
generatedAt: v.number(),
})
.index("billingPeriod_userId", ["billingPeriod", "userId"])
.index("userId", ["userId"]),
});
export const recordUsage = internalMutation({
args: {
userId: v.string(),
threadId: v.optional(v.string()),
agentName: v.optional(v.string()),
model: v.string(),
provider: v.string(),
inputTokens: v.number(),
outputTokens: v.number(),
totalTokens: v.number(),
},
handler: async (
ctx,
{
userId,
threadId,
agentName,
model,
provider,
inputTokens,
outputTokens,
totalTokens,
}
) => {
const today = new Date().toISOString().split("T")[0];
const billingPeriod = today.substring(0, 7); // YYYY-MM
// Calculate cost (example: $0.015 per 1M input tokens, $0.060 per 1M output)
const cost =
(inputTokens / 1_000_000) * 0.015 + (outputTokens / 1_000_000) * 0.06;
await ctx.db.insert("usage", {
userId,
threadId,
agentName,
model,
provider,
inputTokens,
outputTokens,
totalTokens,
cost,
date: today,
billingPeriod,
});
},
});
Get total usage for a specific user:
// convex/usage.ts
import { query } from "./_generated/server";
import { v } from "convex/values";
export const getUserUsage = query({
args: { userId: v.string() },
handler: async (ctx, { userId }) => {
const records = await ctx.db
.query("usage")
.withIndex("userId", (q) => q.eq("userId", userId))
.collect();
const totals = records.reduce(
(acc, record) => ({
inputTokens: acc.inputTokens + record.inputTokens,
outputTokens: acc.outputTokens + record.outputTokens,
totalTokens: acc.totalTokens + record.totalTokens,
cost: acc.cost + record.cost,
}),
{ inputTokens: 0, outputTokens: 0, totalTokens: 0, cost: 0 }
);
return totals;
},
});
export const getMonthlyUsageByUser = query({
args: { billingPeriod: v.string() },
handler: async (ctx, { billingPeriod }) => {
const records = await ctx.db
.query("usage")
.withIndex("billingPeriod_userId", (q) =>
q.eq("billingPeriod", billingPeriod)
)
.collect();
// Group by userId
const byUser: Record<string, any> = {};
for (const record of records) {
if (!byUser[record.userId]) {
byUser[record.userId] = {
userId: record.userId,
totalTokens: 0,
cost: 0,
records: 0,
};
}
byUser[record.userId].totalTokens += record.totalTokens;
byUser[record.userId].cost += record.cost;
byUser[record.userId].records += 1;
}
return Object.values(byUser);
},
});
Create invoices from usage data:
// convex/usage.ts
import { action } from "./_generated/server";
import { v } from "convex/values";
export const generateInvoices = action({
args: { billingPeriod: v.string() },
handler: async (ctx, { billingPeriod }) => {
// Get all usage for the period
const records = await ctx.db
.query("usage")
.withIndex("billingPeriod_userId", (q) =>
q.eq("billingPeriod", billingPeriod)
)
.collect();
// Group by user
const byUser: Record<string, number> = {};
for (const record of records) {
byUser[record.userId] = (byUser[record.userId] || 0) + record.cost;
}
// Create invoices
for (const [userId, amount] of Object.entries(byUser)) {
const existingInvoice = await ctx.db
.query("invoices")
.filter(
(inv) =>
inv.billingPeriod === billingPeriod && inv.userId === userId
)
.first();
if (!existingInvoice) {
await ctx.db.insert("invoices", {
userId,
billingPeriod,
amount,
status: "pending",
generatedAt: Date.now(),
});
}
}
return { invoicesCreated: Object.keys(byUser).length };
},
});
Compare efficiency across agents:
// convex/usage.ts
import { query } from "./_generated/server";
import { v } from "convex/values";
export const getUsageByAgent = query({
args: { userId: v.string(), billingPeriod: v.string() },
handler: async (ctx, { userId, billingPeriod }) => {
const records = await ctx.db
.query("usage")
.withIndex("billingPeriod_userId", (q) =>
q.eq("billingPeriod", billingPeriod)
)
.filter((r) => r.userId === userId)
.collect();
// Group by agent
const byAgent: Record<string, any> = {};
for (const record of records) {
const agent = record.agentName || "unknown";
if (!byAgent[agent]) {
byAgent[agent] = {
agent,
totalTokens: 0,
inputTokens: 0,
outputTokens: 0,
cost: 0,
calls: 0,
};
}
byAgent[agent].totalTokens += record.totalTokens;
byAgent[agent].inputTokens += record.inputTokens;
byAgent[agent].outputTokens += record.outputTokens;
byAgent[agent].cost += record.cost;
byAgent[agent].calls += 1;
}
return Object.values(byAgent).sort((a, b) => b.cost - a.cost);
},
});
Generate invoices automatically monthly:
// convex/crons.ts
import { cronJobs } from "convex/server";
import { internal } from "./_generated/api";
const crons = cronJobs();
// Generate invoices on the 2nd day of each month at midnight UTC
crons.monthly(
"generateMonthlyInvoices",
{ day: 2, hourUTC: 0, minuteUTC: 0 },
internal.usage.generateInvoices,
{ billingPeriod: calculatePreviousMonth() }
);
export default crons;
function calculatePreviousMonth(): string {
const now = new Date();
const month = now.getMonth() === 0 ? 11 : now.getMonth() - 1;
const year = now.getMonth() === 0 ? now.getFullYear() - 1 : now.getFullYear();
return `${year}-${String(month + 1).padStart(2, "0")}`;
}
Alert on high usage:
// convex/usage.ts
import { action } from "./_generated/server";
import { v } from "convex/values";
export const checkUsageAlerts = action({
args: {},
handler: async (ctx, {}) => {
const today = new Date().toISOString().split("T")[0];
// Get today's usage by user
const records = await ctx.db
.query("usage")
.filter((r) => r.date === today)
.collect();
const byUser: Record<string, number> = {};
for (const record of records) {
byUser[record.userId] = (byUser[record.userId] || 0) + record.cost;
}
// Alert on users exceeding $100/day
const alerts = [];
for (const [userId, cost] of Object.entries(byUser)) {
if (cost > 100) {
alerts.push({ userId, cost, reason: "Daily spend exceeded $100" });
}
}
// Send alerts (email, Slack, etc.)
for (const alert of alerts) {
await ctx.runMutation(internal.notifications.sendAlert, alert);
}
return alerts;
},
});
Query usage for display:
// convex/usage.ts
import { query } from "./_generated/server";
export const getDashboardStats = query({
args: { userId: v.string() },
handler: async (ctx, { userId }) => {
// This month's usage
const today = new Date();
const billingPeriod = `${today.getFullYear()}-${String(
today.getMonth() + 1
).padStart(2, "0")}`;
const monthlyRecords = await ctx.db
.query("usage")
.withIndex("billingPeriod_userId", (q) =>
q.eq("billingPeriod", billingPeriod)
)
.filter((r) => r.userId === userId)
.collect();
const monthlyStats = monthlyRecords.reduce(
(acc, r) => ({
totalTokens: acc.totalTokens + r.totalTokens,
cost: acc.cost + r.cost,
}),
{ totalTokens: 0, cost: 0 }
);
// All time
const allRecords = await ctx.db
.query("usage")
.withIndex("userId", (q) => q.eq("userId", userId))
.collect();
const allTimeStats = allRecords.reduce(
(acc, r) => ({
totalTokens: acc.totalTokens + r.totalTokens,
cost: acc.cost + r.cost,
}),
{ totalTokens: 0, cost: 0 }
);
return {
monthly: monthlyStats,
allTime: allTimeStats,
averageDailyCost: monthlyStats.cost / Math.min(today.getDate(), 30),
};
},
});
// convex/billing/complete.ts
import { Agent } from "@convex-dev/agent";
import { components } from "../_generated/api";
import { openai } from "@ai-sdk/openai";
import { internal } from "../_generated/api";
// Cost per million tokens
const PRICING = {
"gpt-4o-mini": {
input: 0.015,
output: 0.06,
},
};
export const billingAgent = new Agent(components.agent, {
name: "Billing Agent",
languageModel: openai.chat("gpt-4o-mini"),
usageHandler: async (ctx, { usage, userId, model }) => {
if (!userId) return;
const pricing = PRICING[model as keyof typeof PRICING] || {
input: 0.001,
output: 0.002,
};
const cost =
(usage.inputTokens / 1_000_000) * pricing.input +
(usage.outputTokens / 1_000_000) * pricing.output;
await ctx.runMutation(internal.billing.recordUsage, {
userId,
model,
inputTokens: usage.inputTokens,
outputTokens: usage.outputTokens,
totalTokens: usage.totalTokens,
cost,
});
},
});
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Testing patterns for PHPUnit and Playwright E2E tests. Use when writing tests, debugging test failures, setting up test coverage, or implementing test patterns for ActivityPub features.
日本語の概要は準備中です。原文の説明を表示しています。
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
日本語の概要は準備中です。原文の説明を表示しています。
Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.
日本語の概要は準備中です。原文の説明を表示しています。
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
日本語の概要は準備中です。原文の説明を表示しています。
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
日本語の概要は準備中です。原文の説明を表示しています。
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
日本語の概要は準備中です。原文の説明を表示しています。