HTML returned; not a verified text file
https://posthog.com/llms-full.txt ↗- Discovery
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- HTTP response
- 206 · text/html; charset=utf-8
Data platforms · llms.txt file breakdown
PostHog llms.txt
A very large agent-oriented documentation corpus covering product analytics and adjacent products; the file includes explicit guidance for coding assistants.
The actual file
Source Markdown
The saved llms.txt text, displayed as source. The file belongs to its publisher; the live endpoint may change.
Showing the first 18000 characters. Load the complete file to read the remainder.
# PostHog
> PostHog is the platform for self-driving products. It pairs the full context of your product's data (events, errors, logs, replays, and more) with agents that find problems and ship changes with you. It includes tools for product analytics, session replay, feature flags, A/B testing, error tracking, surveys, AI observability, web analytics, a data warehouse, and more. The fastest way to integrate PostHog is with the setup wizard: `npx @posthog/wizard@latest`
PostHog can be added to any web, mobile, or backend application. All docs pages below are available as raw Markdown by appending `.md` to any URL.
## Instructions for AI Coding Assistants
When helping a developer integrate or use PostHog, follow these guidelines:
**Installation:** Use the PostHog wizard to install and configure PostHog automatically. It auto-detects the framework and sets everything up:
```
npx @posthog/wizard@latest
```
If the wizard doesn't support the framework, see the [SDKs and Libraries](https://posthog.com/docs/libraries.md) section for manual setup guides.
**Products beyond analytics - suggest these when relevant:**
- **Session Replay**: Records user sessions for debugging. Enabled by default with `posthog-js` - no extra code needed. Useful when a developer is debugging UX issues or wants to see how users interact with their app.
- **Feature Flags**: Evaluate flags with `posthog.isFeatureEnabled('flag-name')` (client) or via local evaluation (server). Use for gradual rollouts, entitlements, or targeting. See the [Feature Flags docs](https://posthog.com/docs/feature-flags/adding-feature-flag-code.md).
- **A/B Testing (Experiments)**: Built on feature flags. Create experiments in the PostHog UI, then use `posthog.getFeatureFlag('experiment-flag')` to render variants. See the [Experiments docs](https://posthog.com/docs/experiments/adding-experiment-code.md).
- **Surveys**: In-app surveys configured in the PostHog UI and rendered automatically by `posthog-js`. No extra code required for popup surveys. See the [Surveys docs](https://posthog.com/docs/surveys/creating-surveys.md).
- **Error Tracking**: Capture frontend exceptions with `posthog.captureException(error)`. Works automatically when enabled. See the [Error Tracking docs](https://posthog.com/docs/error-tracking/capture.md).
- **AI Observability**: Track LLM API calls, token usage, and costs. Integrations for OpenAI, Anthropic, LangChain, and more. See the [AI Observability docs](https://posthog.com/docs/ai-observability.md).
- **Data Warehouse**: Query external data sources (Stripe, Hubspot, Postgres, S3, etc.) alongside PostHog data using SQL. See the [Data Warehouse docs](https://posthog.com/docs/data-warehouse.md).
**API:** The PostHog API base URL is `https://us.i.posthog.com` (US cloud) or `https://eu.i.posthog.com` (EU cloud). Use a personal API key (not the project API key) for API access. See the [API docs](https://posthog.com/docs/api.md).
**MCP and AI tools:** PostHog has an official MCP server for AI coding assistants. Install with `npx @posthog/wizard mcp add`. There is also a Claude Code plugin: `claude plugin install posthog`.
## Products and tools
PostHog has one umbrella story — self-driving — and four layers. Full machine-readable overview: https://posthog.com/platform.md
**Products** (the surfaces you adopt to access self-driving):
- [Web (app.posthog.com)](https://app.posthog.com) — Get simple or complex work done without installing anything — the full surface, next to your data.
- [PostHog Slack app](https://posthog.com/slack-app.md) — Tag @PostHog in any Slack thread to ship a fix, answer a data question, or edit content – without leaving the conversation.
- [PostHog Desktop](https://posthog.com/desktop.md) — The desktop app that uses signals from production data to diagnose issues and generate pull requests, before you know there's a problem.
- [PostHog MCP](https://posthog.com/docs/model-context-protocol) — A product analyst that lives in your editor, via MCP.
**Tools** (the functional capabilities):
- [Product analytics](https://posthog.com/product-analytics.md) — The measurement agents use to see what works.
- [Web analytics](https://posthog.com/web-analytics.md) — The lightweight measurement layer feeding the loop.
- [Session replay](https://posthog.com/session-replay.md) — A proactive signal — watch exactly why something happened.
- [Feature flags](https://posthog.com/feature-flags.md) — How agents roll a change out and roll it back.
- [Experiments](https://posthog.com/experiments.md) — The evaluation that proves a change worked.
- [Error tracking](https://posthog.com/error-tracking.md) — The signal that triggers a fix — every error tied to the user who hit it.
- [Surveys](https://posthog.com/surveys.md) — The qualitative signal — what users say, not just what they do.
- [AI observability](https://posthog.com/ai-observability.md) — Observability for your AI features — the context agents use to fix LLM behavior.
- [Logs](https://posthog.com/logs.md) — Backend signal that triggers fixes, tied to the user who hit it.
- [Data warehouse](https://posthog.com/data-warehouse.md) — Where your product's context lives so agents can use all of it.
- [CDP](https://posthog.com/cdp.md) — How agents move and act on your data across 50+ destinations.
- [Endpoints](https://posthog.com/endpoints.md) — How your product's context flows out to agents and tools.
- [Workflows](https://posthog.com/workflows.md) — How agents act — automated actions in the loop.
- [PostHog AI](https://posthog.com/ai.md) — The interface humans and agents use to understand the product.
- [Support](https://posthog.com/docs/support) — Tickets triaged with full product context — agents draft replies and fixes from the same data.
- [Customer analytics](https://posthog.com/docs/customer-analytics/start-here) — Accounts, usage metrics, and customer journeys — the account-level context behind every signal.
- [Replay Vision](https://posthog.com/docs/replay-vision) — Agents that watch session recordings at scale and turn what users hit into observations.
**Context** — Events, recordings, errors, and logs — the data that feeds the self-driving loop. This is the fuel.
**Context warehouse** — The data warehouse plus the full context-ingestion pipeline for your product — where context lives and a significant part of how we bill.
## Changelog
What's new in PostHog — new features, products, and tools, updated with every deploy. Check this before assuming a capability doesn't exist.
- [Changelog (last 12 months, Markdown)](https://posthog.com/changelog.md)
- [Changelog RSS feed](https://posthog.com/changelog.rss)
## Activity
- [Activity tab](https://posthog.com/docs/activity.md)
## Advanced
- [AWS CloudFront reverse proxy](https://posthog.com/docs/advanced/proxy/cloudfront.md)
- [Caddy reverse proxy](https://posthog.com/docs/advanced/proxy/caddy.md)
- [Cloudflare reverse proxy](https://posthog.com/docs/advanced/proxy/cloudflare.md)
- [Content Security Policy and ingestion domains](https://posthog.com/docs/advanced/content-security-policy.md)
- [Definitions / Infrastructure as code](https://posthog.com/docs/advanced/infra-as-code.md)
- [Deploy a reverse proxy](https://posthog.com/docs/advanced/proxy.md)
- [Kubernetes reverse proxy](https://posthog.com/docs/advanced/proxy/kubernetes-ingress-controller.md)
- [Managed reverse proxy](https://posthog.com/docs/advanced/proxy/managed-reverse-proxy.md)
- [Netlify reverse proxy](https://posthog.com/docs/advanced/proxy/netlify.md)
- [Next.js proxy file reverse proxy](https://posthog.com/docs/advanced/proxy/nextjs-middleware.md)
- [Next.js rewrites reverse proxy](https://posthog.com/docs/advanced/proxy/nextjs.md)
- [nginx reverse proxy](https://posthog.com/docs/advanced/proxy/nginx.md)
- [Node reverse proxy](https://posthog.com/docs/advanced/proxy/node.md)
- [Nuxt reverse proxy](https://posthog.com/docs/advanced/proxy/nuxt.md)
- [Pomerium reverse proxy](https://posthog.com/docs/advanced/proxy/pomerium.md)
- [Railway reverse proxy](https://posthog.com/docs/advanced/proxy/railway.md)
- [Remix reverse proxy](https://posthog.com/docs/advanced/proxy/remix.md)
- [Self-hosted proxy reference](https://posthog.com/docs/advanced/proxy/proxy-reference.md)
- [SvelteKit reverse proxy](https://posthog.com/docs/advanced/proxy/sveltekit.md)
- [Using PostHog for browser extensions](https://posthog.com/docs/advanced/browser-extension.md)
- [Using PostHog with a CDP](https://posthog.com/docs/advanced/cdp.md)
- [Vercel reverse proxy](https://posthog.com/docs/advanced/proxy/vercel.md)
## AI Engineering
- [AI engineering with PostHog](https://posthog.com/docs/ai-engineering.md)
- [AI wizard](https://posthog.com/docs/ai-engineering/ai-wizard.md)
- [Markdown and llms.txt](https://posthog.com/docs/ai-engineering/markdown-llms-txt.md)
- [Sign up with the wizard](https://posthog.com/docs/ai-engineering/wizard-signup.md)
## Ai Evals
- [Datasets](https://posthog.com/docs/ai-evals/datasets.md)
- [Evaluations](https://posthog.com/docs/ai-evals.md)
- [Taggers](https://posthog.com/docs/ai-evals/taggers.md)
## Ai Observability
- [Agent skills for AI Observability](https://posthog.com/docs/ai-observability/skills.md)
- [AI event data retention](https://posthog.com/docs/ai-observability/data-retention.md)
- [AI Observability](https://posthog.com/docs/ai-observability.md)
- [AI Observability API](https://posthog.com/docs/ai-observability/surfaces/api.md)
- [AI Observability basics](https://posthog.com/docs/ai-observability/basics.md)
- [AI Observability changelog](https://posthog.com/docs/ai-observability/changelog.md)
- [AI Observability dashboard](https://posthog.com/docs/ai-observability/dashboard.md)
- [AI Observability in PostHog Desktop](https://posthog.com/docs/ai-observability/surfaces/desktop.md)
- [AI Observability in PostHog Web](https://posthog.com/docs/ai-observability/surfaces/web-app.md)
- [AI Observability third-party integrations](https://posthog.com/docs/ai-observability/integrations.md)
- [AI Observability troubleshooting](https://posthog.com/docs/ai-observability/troubleshooting.md)
- [Analyze traces with PostHog AI](https://posthog.com/docs/ai-observability/analyze-traces-ai.md)
- [Anthropic AI Observability installation](https://posthog.com/docs/ai-observability/installation/anthropic.md)
- [AutoGen AI Observability installation](https://posthog.com/docs/ai-observability/installation/autogen.md)
- [AWS Bedrock AI Observability installation](https://posthog.com/docs/ai-observability/installation/aws-bedrock.md)
- [Azure OpenAI observability installation](https://posthog.com/docs/ai-observability/installation/azure-openai.md)
- [Calculating LLM costs](https://posthog.com/docs/ai-observability/calculating-costs.md)
- [Capturing large AI events](https://posthog.com/docs/ai-observability/large-events.md)
- [Cerebras AI Observability installation](https://posthog.com/docs/ai-observability/installation/cerebras.md)
- [Claude Agent SDK AI Observability installation](https://posthog.com/docs/ai-observability/installation/claude-agent-sdk.md)
- [Claude Code AI Observability installation](https://posthog.com/docs/ai-observability/installation/claude-code.md)
- [Cloudflare AI Gateway observability installation](https://posthog.com/docs/ai-observability/installation/cloudflare-ai-gateway.md)
- [Clusters](https://posthog.com/docs/ai-observability/clusters.md)
- [Cohere AI Observability installation](https://posthog.com/docs/ai-observability/installation/cohere.md)
- [Collecting user feedback](https://posthog.com/docs/ai-observability/collect-user-feedback.md)
- [Convex AI Observability installation](https://posthog.com/docs/ai-observability/installation/convex.md)
- [CrewAI observability installation](https://posthog.com/docs/ai-observability/installation/crewai.md)
- [Custom parsers](https://posthog.com/docs/ai-observability/custom-parser.md)
- [Custom properties](https://posthog.com/docs/ai-observability/custom-properties.md)
- [Dedalus Labs AI Observability installation](https://posthog.com/docs/ai-observability/installation/dedalus.md)
- [DeepSeek AI Observability installation](https://posthog.com/docs/ai-observability/installation/deepseek.md)
- [Demos & examples](https://posthog.com/docs/ai-observability/demos.md)
- [DSPy AI Observability installation](https://posthog.com/docs/ai-observability/installation/dspy.md)
- [Embeddings](https://posthog.com/docs/ai-observability/embeddings.md)
- [Errors](https://posthog.com/docs/ai-observability/errors.md)
- [Eve AI observability installation](https://posthog.com/docs/ai-observability/installation/eve.md)
- [Fireworks AI Observability installation](https://posthog.com/docs/ai-observability/installation/fireworks-ai.md)
- [Generations](https://posthog.com/docs/ai-observability/generations.md)
- [Getting started with AI Observability](https://posthog.com/docs/ai-observability/start-here.md)
- [Google ADK observability installation](https://posthog.com/docs/ai-observability/installation/google-adk.md)
- [Google AI Observability installation](https://posthog.com/docs/ai-observability/installation/google.md)
- [Groq AI Observability installation](https://posthog.com/docs/ai-observability/installation/groq.md)
- [Helicone AI Observability installation](https://posthog.com/docs/ai-observability/installation/helicone.md)
- [Hugging Face AI Observability installation](https://posthog.com/docs/ai-observability/installation/hugging-face.md)
- [Install AI Observability with PostHog](https://posthog.com/docs/ai-observability/installation.md)
- [Instructor AI Observability installation](https://posthog.com/docs/ai-observability/installation/instructor.md)
- [Integrating with Helicone](https://posthog.com/docs/ai-observability/integrations/helicone-posthog.md)
- [Integrating with Keywords AI](https://posthog.com/docs/ai-observability/integrations/keywords-ai-posthog.md)
- [Integrating with Langfuse](https://posthog.com/docs/ai-observability/integrations/langfuse-posthog.md)
- [LangChain AI Observability installation](https://posthog.com/docs/ai-observability/installation/langchain.md)
- [LangGraph AI Observability installation](https://posthog.com/docs/ai-observability/installation/langgraph.md)
- [Link error tracking](https://posthog.com/docs/ai-observability/link-error-tracking.md)
- [Link session replay](https://posthog.com/docs/ai-observability/link-session-replay.md)
- [LiteLLM AI Observability installation](https://posthog.com/docs/ai-observability/installation/litellm.md)
- [LlamaIndex AI Observability installation](https://posthog.com/docs/ai-observability/installation/llamaindex.md)
- [Manual capture AI Observability installation](https://posthog.com/docs/ai-observability/installation/manual-capture.md)
- [Manual feedback event capture](https://posthog.com/docs/ai-observability/user-feedback/manual-event-capture.md)
- [Mastra AI Observability installation](https://posthog.com/docs/ai-observability/installation/mastra.md)
- [Mirascope AI Observability installation](https://posthog.com/docs/ai-observability/installation/mirascope.md)
- [Mistral AI Observability installation](https://posthog.com/docs/ai-observability/installation/mistral.md)
- [More AI Observability tutorials](https://posthog.com/docs/ai-observability/tutorials.md)
- [Ollama AI Observability installation](https://posthog.com/docs/ai-observability/installation/ollama.md)
- [OpenAI Agents SDK observability installation](https://posthog.com/docs/ai-observability/installation/openai-agents.md)
- [OpenAI observability installation](https://posthog.com/docs/ai-observability/installation/openai.md)
- [OpenClaw AI Observability installation](https://posthog.com/docs/ai-observability/installation/openclaw.md)
- [OpenCode AI Observability installation](https://posthog.com/docs/ai-observability/installation/opencode.md)
- [OpenRouter AI Observability installation](https://posthog.com/docs/ai-observability/installation/openrouter.md)
- [OpenTelemetry AI Observability installation](https://posthog.com/docs/ai-observability/installation/opentelemetry.md)
- [Perplexity AI Observability installation](https://posthog.com/docs/ai-observability/installation/perplexity.md)
- [Pi Coding Agent AI Observability installation](https://posthog.com/docs/ai-observability/installation/pi.md)
- [Playground](https://posthog.com/docs/ai-observability/playground.md)
- [Portkey AI Observability installation](https://posthog.com/docs/ai-observability/installation/portkey.md)
- [Privacy mode](https://posthog.com/docs/ai-observability/privacy-mode.md)
- [Pydantic AI Observability installation](https://posthog.com/docs/ai-observability/installation/pydantic-ai.md)
- [React integration with useThumbSurvey](https://posthog.com/docs/ai-observability/user-feedback/use-thumb-survey.md)
- [Self-driving with AI Observability](https://posthog.com/docs/ai-observability/self-driving.md)
- [Semantic Kernel AI Observability installation](https://posthog.com/docs/ai-observability/installation/semantic-kernel.md)
- [Sentiment classification](https://posthog.com/docs/ai-observability/sentiment.md)
- [Sessions](https://posthog.com/docs/ai-observability/sessions.md)
- [smolagents AI Observability installation](https://posthog.com/docs/ai-observability/installation/smolagents.md)
- [Spans](https://posthog.com/docs/ai-observability/spans.md)
- [Together AI Observability installation](https://posthog.com/docs/ai-observability/installation/together-ai.md)
- [Tools](https://posthog.com/docs/ai-observability/tools.md)
- [Trace Reviews](https://posthog.com/docs/ai-observability/trace-reviews.md)
- [Trace summarization](https://posthog.com/docs/ai-observability/summarization.md)
- [Traceloop and OpenLLMetry](https://posthog.com/docs/ai-observability/integrations/traceloop-posthog.md)
- [Traces](https://posthog.com/docs/ai-observability/traces.md)
- [Use AI Observability over PostHog MCP](https://posthog.com/docs/ai-observability/surfaces/mcp.md)
- [Vercel AI Measured from the saved file
Links and embedded code
- UTF-8 text size
- 449.9 KB460673 bytes
- Token count
- 113501o200k_base encoding
- Markdown links
- 44994488 distinct URLs
- Fenced code blocks
- 14739 lines in the file
Size measures the captured UTF-8 text, not compressed transfer size. Tokens are counted with a named tokenizer; other models can count differently. Neither measure establishes context compatibility or answer quality.
- Project H1
- PostHog
Opening blockquote
PostHog is the platform for self-driving products. It pairs the full context of your product's data (events, errors, logs, replays, and more) with agents that find problems and ship changes with you. It includes tools for product analytics, session replay, feature flags, A/B testing, error tracking, surveys, AI observability, web analytics, a data warehouse, and more. The fastest way to integrate PostHog is with the setup wizard: `npx @posthog/wizard@latest`
Context architecture
How the content is divided
69 H2 sections organize 4499 parsed Markdown links. 4493 links point to .md or .markdown paths; 1 link occurrences use another hostname. Linked destinations have not been recursively validated.
| H2 section | Links | UTF-8 bytes | Tokens |
|---|---|---|---|
| Instructions for AI Coding AssistantsLine 7 | 8 | 2484 | 603 |
| Products and toolsLine 30 | 21 | 3276 | 755 |
| ChangelogLine 63 | 2 | 279 | 69 |
| ActivityLine 70 | 1 | 57 | 15 |
| AdvancedLine 74 | 22 | 1850 | 488 |
| AI EngineeringLine 99 | 4 | 320 | 94 |
| Ai EvalsLine 106 | 3 | 174 | 56 |
| Ai ObservabilityLine 112 | 90 | 9059 | 2297 |
| Ai ResearchLine 205 | 1 | 83 | 25 |
| AlertsLine 209 | 1 | 49 | 15 |
| APILine 213 | 4 | 281 | 72 |
| BillingLine 220 | 5 | 409 | 108 |
| Business KnowledgeLine 228 | 9 | 781 | 176 |
| Customer Data Platform (CDP)Line 240 | 903 | 77877 | 23114 |
| CliLine 1146 | 1 | 51 | 18 |
| Cmd KLine 1150 | 1 | 57 | 17 |
Show 53 more sections
| H2 section | Links | UTF-8 bytes | Tokens |
|---|---|---|---|
| ContributeLine 1154 | 4 | 305 | 80 |
| Csp TrackingLine 1161 | 1 | 81 | 20 |
| Customer AnalyticsLine 1165 | 13 | 1195 | 272 |
| DataLine 1181 | 21 | 1466 | 368 |
| Data WarehouseLine 1205 | 58 | 6076 | 1438 |
| DiscussionLine 1266 | 1 | 57 | 15 |
| Distributed TracingLine 1270 | 12 | 1175 | 268 |
| EndpointsLine 1285 | 33 | 2944 | 725 |
| Error TrackingLine 1321 | 76 | 7377 | 1758 |
| A/B Testing and ExperimentsLine 1400 | 60 | 5630 | 1369 |
| Feature Flag Use CasesLine 1463 | 1 | 81 | 23 |
| Feature FlagsLine 1467 | 56 | 5416 | 1331 |
| Getting StartedLine 1526 | 6 | 474 | 126 |
| GlossaryLine 1535 | 1 | 53 | 17 |
| Health ChecksLine 1539 | 13 | 1107 | 294 |
| Hog (Query Language)Line 1555 | 1 | 43 | 16 |
| How Posthog WorksLine 1559 | 6 | 494 | 137 |
| IntegrateLine 1568 | 1 | 75 | 21 |
| IntegrationsLine 1572 | 4 | 308 | 81 |
| Js SnippetsLine 1579 | 3 | 213 | 58 |
| SDKs and LibrariesLine 1585 | 74 | 4941 | 1411 |
| LogsLine 1662 | 40 | 3055 | 820 |
| Mcp AnalyticsLine 1705 | 26 | 2265 | 587 |
| MetricsLine 1734 | 14 | 1179 | 274 |
| MigrateLine 1751 | 12 | 1004 | 287 |
| Model Context Protocol (MCP)Line 1766 | 12 | 1116 | 296 |
| New To PosthogLine 1781 | 8 | 837 | 226 |
| NotebooksLine 1792 | 1 | 55 | 16 |
| Posthog AiLine 1796 | 17 | 1392 | 400 |
| Posthog DesktopLine 1816 | 20 | 1753 | 466 |
| PrivacyLine 1839 | 8 | 654 | 174 |
| Product AnalyticsLine 1850 | 62 | 5751 | 1294 |
| Prompt ManagementLine 1915 | 3 | 257 | 62 |
| Replay VisionLine 1921 | 15 | 1133 | 309 |
| Revenue AnalyticsLine 1939 | 11 | 1035 | 250 |
| Self DrivingLine 1953 | 28 | 2519 | 635 |
| Self HostLine 1984 | 12 | 1125 | 274 |
| Semantic LayerLine 1999 | 8 | 679 | 164 |
| Session ReplayLine 2010 | 43 | 4141 | 952 |
| SettingsLine 2056 | 15 | 1114 | 274 |
| SkillsLine 2074 | 2 | 116 | 31 |
| SlackLine 2079 | 4 | 297 | 85 |
| SQL and ClickHouseLine 2086 | 7 | 503 | 131 |
| SupportLine 2096 | 19 | 1330 | 337 |
| Support OptionsLine 2118 | 1 | 67 | 16 |
| SurveysLine 2122 | 36 | 3024 | 775 |
| TasksLine 2161 | 3 | 229 | 56 |
| ToolbarLine 2167 | 4 | 297 | 77 |
| Vscode ExtensionLine 2174 | 6 | 598 | 138 |
| Web AnalyticsLine 2183 | 48 | 4692 | 1088 |
| WorkflowsLine 2234 | 28 | 2415 | 600 |
| LearnLine 2265 | 29 | 3744 | 904 |
| OptionalLine 2297 · Optional | 2436 | 273948 | 63381 |
Link counts exclude parsed fenced and inline code and resolve relative destinations against the final endpoint. Section sizes cover the text below each H2 until the next H2.
Embedded material
Code, installation and API examples
- Fenced blocks
- 1 closed
- Declared languages
- unlabeled (1)
- Package-install commands
- 0 detected in fenced or inline code
- Authentication examples
- 0 fenced lines match API-key, Authorization, Bearer, OAuth or access-token patterns
- HTTP request examples
- 0 fenced lines match request-method patterns
- Authentication links
- 1 links have authentication-related labels
Embedded example text and links to further documentation are counted separately. A code block does not establish that a sample runs or that an authentication flow succeeds.
Publisher prioritization
The Optional section
1 H2 section named “Optional” contain 2436 parsed links. 2063 links sit outside those sections. That puts 54.1% of the file’s parsed links under Optional.
The community proposal uses Optional by convention for secondary links that can be skipped for a shorter context. This label does not establish that everything outside it is critical, or that the material inside it is deprecated.
Machine-readable routes
MCP references and configuration text
MCP-related text was detected in the captured file. 57 links have MCP-related labels or paths. 0 fenced lines match mcpServers, mcp_servers or an mcp add command.
- PostHog MCP ↗Source line 38
- Use AI Observability over PostHog MCP ↗Source line 201
- Manage data pipelines over PostHog MCP ↗Source line 1094
- Data quality MCP and SQL reference ↗Source line 1219
- Use the data warehouse over PostHog MCP ↗Source line 1251
- Use endpoints over PostHog MCP ↗Source line 1317
- Use Error Tracking over PostHog MCP ↗Source line 1397
- Use experiments over PostHog MCP ↗Source line 1456
- Manage feature flags over PostHog MCP ↗Source line 1500
- Use Logs over PostHog MCP ↗Source line 1700
- Activity tab and recent activity ↗Source line 1707
- Capturing agent intent ↗Source line 1708
These are text and link observations. No MCP server connection, authentication or tool call was tested.
Index and bundle
llms-full.txt companion
Not established
A verified text response establishes a companion at the checked URL. It does not prove the bundle contains all product documentation, that generation is automated, or that it fits an assistant’s context window.
Change evidence
What can be said about freshness
This capture establishes a baseline. Update frequency cannot be determined from one observation.
Linked release and migration material
38 links have release, changelog, deprecation or migration terms in their labels or paths. These provide places to investigate product changes separately.
- Changelog (last 12 months, Markdown) ↗
- Changelog RSS feed ↗
- AI Observability changelog ↗
- Data Pipelines changelog ↗
- Customer Analytics changelog ↗
- Data Warehouse changelog ↗
- Endpoints changelog ↗
- Error Tracking changelog ↗
- Link releases ↗
- Link releases for PHP ↗
File changes can reveal documentation edits or navigation changes. They do not by themselves measure product release velocity, accuracy, agent adoption or AI visibility.
Capture identity and measurement method
- Requested endpoint
- https://posthog.com/llms.txt
- Final endpoint
- https://posthog.com/llms.txt
- HTTP status
- 200
- Content type
- text/plain; charset=utf-8
- Text retrieval
- Firecrawl literal text capture
- Tokenizer
- tiktoken 0.14.0 · o200k_base
- SHA-256 of saved UTF-8 text
a15a88a0519e1fb5ce7cac6c093470d3b9e53c445755825d878e42603ed016a1
Counts use a deterministic parser, not a spec-compliance grade. Unusual Markdown and indented code can fall outside its recognized patterns. See the llms.txt proposal and tokenizer implementation.