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perplexity-llms-txt: changed (36390 bytes, HTTP 200)
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| final URL | https://docs.perplexity.ai/llms.txt |
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| date | Wed, 07 Oct 2026 05:59:48 GMT |
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@@ -120,6 +120,7 @@- [Customizing Presets](https://docs.perplexity.ai/docs/cookbook/examples/agent-api-presets/README.md)- [GitHub investigation agent using managed connectors](https://docs.perplexity.ai/docs/cookbook/examples/triage-bug-report-connectors/README.md): Use managed Slack and GitHub connectors to investigate a linked bug report and reply in its Slack thread.- [Triage Support Tickets with the Decisions API](https://docs.perplexity.ai/docs/cookbook/examples/decisions-api-ticket-triage/README.md): Route inbound support tickets with three probabilistic questions per ticket from the Decisions API, then send only the escalations to the Agent API.+
- [Drive a Browser with the Decisions API](https://docs.perplexity.ai/docs/cookbook/examples/decisions-api-browser-agent/README.md): Build a browser agent that asks pplx-decider-v1.1-27b six questions about a numbered screenshot and gets probabilities back. Your code compares them to cutoffs and doe…- [Build a Data Analytics Agent Using Custom Connectors](https://docs.perplexity.ai/docs/cookbook/examples/agent-api-data-analyst/README.md): Ask your agent why conversions fell, have it inspect the data, and turn the investigation into a chart for you to review.- [Turn Agent Failures into Regression Tests](https://docs.perplexity.ai/docs/cookbook/examples/agent-api-regression-testing/README.md): Build a web-grounded API troubleshooting advisor, then catch unsafe retry advice and unsupported answers before switching models.- [RAG with Perplexity Embeddings](https://docs.perplexity.ai/docs/cookbook/articles/embeddings-rag/README.md): Build an end-to-end retrieval-augmented generation pipeline using Perplexity's standard and contextualized embedding models.@
@@ -156,7 +157,7 @@- [Search the Web](https://docs.perplexity.ai/api-reference/search-post.md): Search the web and retrieve relevant web page contents.- [Create Embeddings](https://docs.perplexity.ai/api-reference/embeddings-post.md): Generate embeddings for a list of texts. Use these embeddings for semantic search, clustering, and other machine learning applications.- [Create Contextualized Embeddings](https://docs.perplexity.ai/api-reference/contextualized-embeddings-post.md): Generate contextualized embeddings for document chunks. Chunks from the same document share context awareness, improving retrieval quality for document-based applications.-
- [Answer questions](https://docs.perplexity.ai/api-reference/decisions-post.md): Evaluate one or more named questions against the content in `state`. Mix `noul`, `choice`, and `score` questions in one request; the response returns one answer per question under the same name, plus the model name and…+
- [Answer questions](https://docs.perplexity.ai/api-reference/decisions-post.md): Evaluate one or more named questions against the content in `state`. Mix `noul`, `choice`, and `score` questions in one request; the response returns one answer per question under the same name, plus the model name and…- [Generate Auth Token](https://docs.perplexity.ai/api-reference/generate-auth-token-post.md): Generates a new authentication token for API access.- [Revoke Auth Token](https://docs.perplexity.ai/api-reference/revoke-auth-token-post.md): Revokes an existing authentication token.- [Usage Analytics](https://docs.perplexity.ai/api-reference/computer-analytics-usage-get.md): Returns your organization's Perplexity usage analytics as a bucketed time series for a single dataset. Requires an organization analytics API key, generated by an org admin from Settings → Organization → C…4 lines shown here cut at 300 characters. The raw artifact at this commit is linked above.