llm-catalog-archive

Change

678d3c0

678d3c02111f393b4bd7b770e842f6e88dff3789 · commit on GitHub

perplexity-llms-txt: changed (37565 bytes, HTTP 200)

raw/perplexity-llms-txt/response.txt modified

Lines added
+8
Lines removed
-7
Stored bytes at this commit
37,565
Timestamp
origin
Raw artifact at this commit
raw/perplexity-llms-txt/response.txt
Recorded headers
observed_at2026-10-10T05:53:03.155Z
origin_date2026-10-10T04:28:51.000Z
status200
final URLhttps://docs.perplexity.ai/llms.txt
etag"HA86iJLNx3iOgeo48JmneepqbcLzplOuDHpHY8YetLQ"
last-modifiednull
dateSat, 10 Oct 2026 05:53:03 GMT
age5052
cache-controlpublic
cf-cache-statusHIT
content-encodingbr
content-lengthnull
@@@ -2,15 +2,15 @@
> Perplexity API documentation for building with the Agent API, the default for web-grounded AI and multi-provider applications, plus Search and Embeddings APIs.
-- [Overview](https://docs.perplexity.ai/docs/getting-started/overview.md): Perplexity API Platform - build with the Router, Agent, Search, and Embeddings APIs. Real-time, web-wide research and Q&A capabilities for your products.
+- [Overview](https://docs.perplexity.ai/docs/getting-started/overview.md): Perplexity API Platform - build with the Orchestrator, Agent, Search, and Embeddings APIs. Real-time, web-wide research and Q&A capabilities for your products.
- [Quickstart](https://docs.perplexity.ai/docs/getting-started/quickstart.md): Generate an API key and make your first call in < 3 minutes.
- [Pricing](https://docs.perplexity.ai/docs/getting-started/pricing.md): Understand Perplexity API pricing, model rates, request fees, billing setup, and rate-limit references.
- [Perplexity API MCP Server](https://docs.perplexity.ai/docs/getting-started/integrations/mcp-server.md): Connect AI assistants to Perplexity's search and reasoning capabilities using the Model Context Protocol (MCP).
- [Perplexity Computer MCP Server](https://docs.perplexity.ai/docs/getting-started/integrations/computer-mcp-server.md): Give AI assistants the ability to complete real-world tasks using Perplexity Computer through the Model Context Protocol (MCP).
- [Perplexity CLI](https://docs.perplexity.ai/docs/cli/overview.md): Install and use Perplexity's pplx command-line interface for web search and query-relevant page snippets from your terminal or coding agent.
-- [Perplexity Router API](https://docs.perplexity.ai/docs/router/quickstart.md): Unified access to open-weight models through OpenAI Chat Completions, OpenAI Responses, and Anthropic Messages APIs, with your Perplexity API key.
-- [Router Models & Pricing](https://docs.perplexity.ai/docs/router/models.md): The model catalog for the Perplexity Router API, with per-token pricing for Perplexity-hosted and third-party models.
-- [Routing & Reliability](https://docs.perplexity.ai/docs/router/routing-and-reliability.md): How the Perplexity Router API routes requests across model deployments, and what happens automatically when a provider degrades or fails.
+- [Perplexity Orchestrator API](https://docs.perplexity.ai/docs/router/quickstart.md): Unified access to open-weight models through OpenAI Chat Completions, OpenAI Responses, and Anthropic Messages APIs, with your Perplexity API key.
+- [Orchestrator Models & Pricing](https://docs.perplexity.ai/docs/router/models.md): The model catalog for the Perplexity Orchestrator API, with per-token pricing for Perplexity-hosted and third-party models.
+- [Routing & Reliability](https://docs.perplexity.ai/docs/router/routing-and-reliability.md): How the Perplexity Orchestrator API routes requests across model deployments, and what happens automatically when a provider degrades or fails.
- [Agent API](https://docs.perplexity.ai/docs/agent-api/quickstart.md): The Agent API is a multi-provider, interoperable API specification for building LLM applications. Access models from multiple providers with integrated real-time web search, tool configuration, reasoning control, and token budge…
- [Define the run](https://docs.perplexity.ai/docs/agent-api/building-agents/define-the-run.md): Configure the agent run: start from a preset, then customize the system prompt, the loop bound, and the model.
- [Prompt the agent](https://docs.perplexity.ai/docs/agent-api/building-agents/prompt-the-agent.md): Split the standing rules (the system prompt) from the question (input), and ground the run so the agent searches and answers on the right thing.
@@@ -123,6 +123,7 @@
- [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…
- [Judge Citation Accuracy with Decisions API](https://docs.perplexity.ai/docs/cookbook/examples/decisions-api-answer-gate/README.md): Ask the Agent API a question with web search, score every sentence against its sources with the Decisions API, and send low-scoring sentences back to the Agent API t…
- [Check Agent Actions Before They Run with Decisions API](https://docs.perplexity.ai/docs/cookbook/examples/decisions-api-action-gate/README.md): Run an accounts-payable agent that can pay vendors, but checks proposed functions before they run using Decisions API. The Decisions API provides probabi…
+- [Rank Search Results to Answer Questions with the Best Quote Using Decisions API](https://docs.perplexity.ai/docs/cookbook/examples/decisions-quote-finder/README.md): Use Decisions API probabilities to rank sentences from your Search API results, then return the quote that best answers the questio…
- [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.
@@@ -138,10 +139,10 @@
- [Build an incident responder with Profiles, Skills, and Managed Connectors](https://docs.perplexity.ai/docs/cookbook/articles/incident-responder/README.md): Combine a saved Profile, an Incident Response Skill, Sandbox, and Datadog, GitHub, and Slack managed connectors, then launch the custom agent…
- [Function Calling End-to-End](https://docs.perplexity.ai/docs/cookbook/articles/function-calling-e2e/README.md): Complete multi-turn function calling patterns for the Perplexity Agent API, including orchestration, web search integration, error handling, and parallel calls
- [Search as Code for coding agents](https://docs.perplexity.ai/docs/cookbook/articles/search-as-code-coding-agents/README.md): Use the Perplexity Search SDK to build a source-backed dependency migration packet that any coding agent can inspect before it edits code.
-- [Create Chat Completion](https://docs.perplexity.ai/api-reference/gateway-chat-completions-post.md): Send a conversation to any Router model using the OpenAI Chat Completions schema. Set `stream: true` to receive server-sent events; add `stream_options: {"include_usage": true}` to get token usage …
+- [Create Chat Completion](https://docs.perplexity.ai/api-reference/gateway-chat-completions-post.md): Send a conversation to any Orchestrator API model using the OpenAI Chat Completions schema. Set `stream: true` to receive server-sent events; add `stream_options: {"include_usage": true}` to get to…
- [Create Response](https://docs.perplexity.ai/api-reference/gateway-responses-post.md): Generate a model response using the OpenAI Responses schema. Set `stream: true` to receive typed server-sent events followed by `data: [DONE]`.
-- [Create Message](https://docs.perplexity.ai/api-reference/gateway-messages-post.md): Send a conversation to any Router model using the Anthropic Messages schema. Set `stream: true` to receive server-sent events. Authenticate with your Perplexity API key — both `Authorization: Bearer` and the Anthr…
-- [List Models](https://docs.perplexity.ai/api-reference/gateway-models-get.md): List the models available through the Router, sorted by id. Each model includes its base token prices in `pricing` (USD per 1M tokens).
+- [Create Message](https://docs.perplexity.ai/api-reference/gateway-messages-post.md): Send a conversation to any Orchestrator API model using the Anthropic Messages schema. Set `stream: true` to receive server-sent events. Authenticate with your Perplexity API key — both `Authorization: Bearer` and…
+- [List Models](https://docs.perplexity.ai/api-reference/gateway-models-get.md): List the models available through the Orchestrator API, sorted by id. Each model includes its base token prices in `pricing` (USD per 1M tokens).
- [Retrieve Model](https://docs.perplexity.ai/api-reference/gateway-model-get.md): Retrieve one model by id, including its base token prices. Model ids contain a `/` (for example `perplexity/kimi-k3`); pass the full id in the path.
- [Create Agent Response](https://docs.perplexity.ai/api-reference/agent-post.md): Generate a response for the provided input with optional web search and reasoning.
- [Retrieve Agent Response](https://docs.perplexity.ai/api-reference/agent-get.md): Retrieve a response created earlier. Returns a JSON snapshot of the response. Only responses created with `store` omitted or `true` can be retrieved; `store: false` responses return a 404.

10 lines shown here cut at 300 characters. The raw artifact at this commit is linked above.