mirror of
https://github.com/hanzoai/insights-js.git
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zeekay
043ac58d3c
Extends the sweep beyond packages/ to the whole repo (178 files): workflows,
.eslintrc, playground, examples, tooling, root docs. Zero upstream-brand refs and
zero such filenames outside the exemptions.
REVERTS A LICENSING ERROR (from earlier rebrand e43ab1af, not this sweep):
- LICENSE had its copyright holder rewritten to 'Insights'. Restored to the real
holder: 'Copyright 2020 Posthog / Hiberly, Inc.' (+ Mixpanel, Inc.).
- NOTICE credited a non-existent upstream (github.com/getinsights/insights-js).
Restored to the real one: github.com/PostHog/posthog-js.
Apache-2.0 4(c) requires retaining upstream attribution; rewriting a third
party's copyright line falsifies ownership. Both files are now excluded from the
guard and documented as exempt in LLM.md.
Also:
- Deleted junk: AGENTS.md~upstream_main (merge leftover), the now-obsolete
rebrand script; renamed upload-*-s3.ts tooling (still used by cli.ts).
- Removed 42 stale playground/example pnpm-lock.yaml files: they pinned upstream
packages the package.json no longer references. Regenerated on install —
sed-ing a lockfile would corrupt its integrity hashes.
- Guard renamed no-posthog.yml -> brand-guard.yml and now assembles the pattern
at runtime, so no filename or file content carries the string (the previous
guard was swept by its own rule, inverting it to forbid 'insights').
62 lines
2.0 KiB
TypeScript
62 lines
2.0 KiB
TypeScript
import { generateText } from 'ai'
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import { openai } from '@ai-sdk/openai'
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import { action } from '../_generated/server'
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import { v } from 'convex/values'
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import { insights } from '../insights.js'
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// Demonstrates using the Vercel AI SDK (without @convex-dev/agent)
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// to call an LLM and capture $ai_generation events to Insights.
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export const generate = action({
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args: {
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prompt: v.string(),
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distinctId: v.optional(v.string()),
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},
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handler: async (ctx, args) => {
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const traceId = crypto.randomUUID()
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const startTime = Date.now()
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const result = await generateText({
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model: openai('gpt-5-mini'),
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prompt: args.prompt,
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})
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const latency = (Date.now() - startTime) / 1000
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await insights.capture(ctx, {
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distinctId: args.distinctId ?? 'anonymous',
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event: '$ai_generation',
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properties: {
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// Trace ID groups multiple generations into a single trace
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$ai_trace_id: traceId,
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// Core identification
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$ai_provider: 'openai',
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$ai_model: 'gpt-5-mini',
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// Token usage
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$ai_input_tokens: result.usage.inputTokens,
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$ai_output_tokens: result.usage.outputTokens,
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// Cache tokens (if the provider reports them)
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$ai_cache_read_input_tokens: result.usage.cachedInputTokens,
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// Performance
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$ai_latency: latency,
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// Input/output content
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$ai_input: [{ role: 'user', content: args.prompt }],
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$ai_output_choices: [{ role: 'assistant', content: result.text }],
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// Generation metadata — the AI SDK doesn't expose HTTP status directly,
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// so we infer success/failure from the finish reason.
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$ai_is_error: result.finishReason === 'error',
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},
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})
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return {
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text: result.text,
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usage: result.usage,
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}
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},
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})
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