Change
320f8c3
320f8c332230604579c8f170a286ee33d391b42c · commit on GitHub
perplexity-llms-txt: changed (35717 bytes, HTTP 200)
raw/perplexity-llms-txt/response.txt modified
- Source
- perplexity-llms-txt
- Lines added
- +4
- Lines removed
- -0
- Stored bytes at this commit
- 35,717
- Timestamp
- origin
- Raw artifact at this commit
- raw/perplexity-llms-txt/response.txt
Recorded headers
| observed_at | 2026-10-01T05:53:57.927Z |
|---|---|
| origin_date | 2026-10-01T04:14:25.000Z |
| status | 200 |
| final URL | https://docs.perplexity.ai/llms.txt |
| etag | "TsKTck2oIrN7dQRk_O9tIBWY7abEecaUKGOAn-mrqls" |
| last-modified | null |
| date | Thu, 01 Oct 2026 05:53:57 GMT |
| age | 5972 |
| cache-control | public |
| cf-cache-status | HIT |
| content-encoding | br |
| content-length | null |
@
@@ -57,6 +57,7 @@- [Best Practices](https://docs.perplexity.ai/docs/embeddings/best-practices.md): Optimize your embeddings workflow with batch processing, caching, RAG patterns, and performance tips.- [Standard Embeddings](https://docs.perplexity.ai/docs/embeddings/standard-embeddings.md): Generate embeddings for independent texts, search queries, and single sentences.- [Contextualized Embeddings](https://docs.perplexity.ai/docs/embeddings/contextualized-embeddings.md): Generate document-aware embeddings for chunks that share context, improving retrieval quality for document-based applications.+
- [Decisions API](https://docs.perplexity.ai/docs/decisions/quickstart.md): The Decisions API answers questions about your content with probabilities instead of text: yes or no, one of your options, or a level on your rubric.- [Quickstart](https://docs.perplexity.ai/docs/sdk/overview.md): Learn how to use the official Perplexity SDKs for Python and TypeScript to access the Perplexity APIs with type safety and async support.- [Configuration](https://docs.perplexity.ai/docs/sdk/configuration.md): Learn how to configure the Perplexity SDKs for retries, timeouts, proxies, and advanced HTTP client customization.- [Error Handling](https://docs.perplexity.ai/docs/sdk/error-handling.md): Learn how to handle API errors gracefully with the Perplexity SDKs for Python and TypeScript.@
@@ -117,6 +118,7 @@- [Grounded Data Story with Kimi K3](https://docs.perplexity.ai/docs/cookbook/examples/data-story-kimi-k3/README.md): Turn any topic into a self-contained, source-linked interactive HTML report using Kimi K3, live web search, and the Agent API.- [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.- [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.@
@@ -153,6 +155,7 @@- [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…- [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…@
@@ -163,6 +166,7 @@- [openapi-auth](/openapi-auth.json)- [openapi-gateway-chat](/openapi-gateway-chat.json)- [openapi-gateway-messages](/openapi-gateway-messages.json)+
- [openapi-gateway-preview](/openapi-gateway-preview.json)- [openapi-gateway-responses](/openapi-gateway-responses.json)- [openapi](/openapi.json)2 lines shown here cut at 300 characters. The raw artifact at this commit is linked above.