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@@@ -12,14 +12,14 @@

- [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.

- [Define the run](https://docs.perplexity.ai/docs/agent-api/building-agents/define-the-run.md): Configure the agent run: start from an effort level, 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.

- [Give it tools](https://docs.perplexity.ai/docs/agent-api/building-agents/give-it-tools.md): Enable built-in tools and your own custom tools in the tools array, let the model decide when to call them, and read the results back from the response.

- [Run code](https://docs.perplexity.ai/docs/agent-api/building-agents/run-code.md): Give the agent a sandbox so it computes exact answers instead of estimating them, runs real code, and returns generated files.

- [Structure the output](https://docs.perplexity.ai/docs/agent-api/building-agents/shape-output.md): Force the model to return JSON your code can parse instead of prose you have to scrape.

- [Keep context](https://docs.perplexity.ai/docs/agent-api/building-agents/keep-context.md): Carry a conversation across turns by replaying it in the input array, so a follow-up understands what came before.

- [Agent API Models](https://docs.perplexity.ai/docs/agent-api/models.md): Compare Agent API models, token pricing, supported service tiers, and provider documentation.

- [Presets](https://docs.perplexity.ai/docs/agent-api/presets.md): Explore Perplexity's Agent API presets - pre-configured setups optimized for different use cases with specific models, search configs, and tool access.

- [Effort](https://docs.perplexity.ai/docs/agent-api/effort.md): Explore Perplexity's Agent API effort levels - pre-configured setups optimized for different use cases with specific models, search configs, and tool access.

- [Profiles](https://docs.perplexity.ai/docs/agent-api/profiles.md): Run an Agent API request with a reusable, versioned configuration that you save and manage.

- [Model Fallback](https://docs.perplexity.ai/docs/agent-api/model-fallback.md): Specify multiple models in a fallback chain for higher availability and automatic failover.

- [Tools overview](https://docs.perplexity.ai/docs/agent-api/tools/overview.md): The tools an Agent API run can call - Perplexity-hosted built-in tools, remote MCP servers, and your own custom functions - and where to go for each.

@@@ -36,17 +36,19 @@

- [Conversation state](https://docs.perplexity.ai/docs/agent-api/conversation-state.md): Continue an Agent API conversation across turns, either by replaying input yourself or by pointing at a completed prior response.

- [Image Attachments](https://docs.perplexity.ai/docs/agent-api/image-attachments.md): Learn how to upload and analyze images using base64 encoding or HTTPS URLs

- [Background Mode](https://docs.perplexity.ai/docs/agent-api/background-mode.md): Run long agentic tasks asynchronously — submit with background, poll by response id, stream, reconnect, and cancel.

- [Batch API](https://docs.perplexity.ai/docs/agent-api/batch.md): Run large sets of Agent API requests asynchronously from a JSONL file, then download the results.

- [Working with Files](https://docs.perplexity.ai/docs/agent-api/working-with-files.md): Send documents to the Agent API, continue a conversation about them, and download files produced by the agent.

- [Skills](https://docs.perplexity.ai/docs/agent-api/skills.md): Give the agent on-demand domain expertise with built-in, inline, and custom skills.

- [OpenAI Compatibility](https://docs.perplexity.ai/docs/agent-api/openai-compatibility.md): Use existing OpenAI SDKs with Perplexity's Agent API and understand the compatibility differences.

- [Migrate from Sonar to the Agent API](https://docs.perplexity.ai/docs/agent-api/migrate-from-sonar/overview.md): The Agent API represents a major upgrade of Sonar Chat Completions, bringing added configuration and powerful agentic primitives to your AI applications.

- [How to migrate from Sonar](https://docs.perplexity.ai/docs/agent-api/migrate-from-sonar/how-to.md): Move a Sonar chat completions integration to the Agent API, including requests, responses, search, presets, async runs, and parameter mappings.

- [Agent API vs Sonar benchmarks](https://docs.perplexity.ai/docs/agent-api/migrate-from-sonar/benchmarks.md): How Agent API presets perform against Sonar across the benchmarks we run, and which preset to use in place of each Sonar model.

- [How to migrate from Sonar](https://docs.perplexity.ai/docs/agent-api/migrate-from-sonar/how-to.md): Move a Sonar chat completions integration to the Agent API, including requests, responses, search, effort levels, async runs, and parameter mappings.

- [Agent API vs Sonar benchmarks](https://docs.perplexity.ai/docs/agent-api/migrate-from-sonar/benchmarks.md): How Agent API effort levels perform against Sonar across the benchmarks we run, and which effort level to use in place of each Sonar model.

- [Prompt Guide](https://docs.perplexity.ai/docs/agent-api/prompt-guide.md): How to write effective prompts for the Agent API.

- [Search API Overview](https://docs.perplexity.ai/docs/search/overview.md): The Search API returns ranked web results as JSON, not a generated answer. What each result contains, the request controls and limits, the price per request, and when to use it instead of the Agent API.

- [Perplexity Search API](https://docs.perplexity.ai/docs/search/quickstart.md): Access real-time web search results with Perplexity's Search API. Get ranked results, domain filtering, multi-query search, and content extraction for developers.

- [Fast Search](https://docs.perplexity.ai/docs/search/fast-search.md): Use search_type fast on the Search API for lower-latency, lower-cost web results.

- [Best Practices](https://docs.perplexity.ai/docs/search/best-practices.md): Learn best practices for optimizing search queries and implementing efficient async patterns with Perplexity's Search API.

- [Perplexity Search SDK](https://docs.perplexity.ai/docs/search-sdk/overview.md): An agents-first Python SDK that brings Perplexity's Search as Code approach to your applications: composable retrieval primitives that agents orchestrate in code.

- [Use Search API with the Anthropic SDK](https://docs.perplexity.ai/docs/search/agent-sdks/anthropic.md): Register Perplexity's Search API as a tool inside the Anthropic Messages API and run the standard tool-use loop with Claude.

- [Use Search API with the OpenAI SDK](https://docs.perplexity.ai/docs/search/agent-sdks/openai.md): Register Perplexity's Search API as a function tool inside the OpenAI Responses API and run the standard tool-call loop with GPT models.

- [Use Search API with the Google Gemini SDK](https://docs.perplexity.ai/docs/search/agent-sdks/gemini.md): Register Perplexity's Search API as a function tool inside Google's google-genai SDK and run the tool-call loop with Gemini models.

@@@ -54,12 +56,12 @@

- [Search Language Filter](https://docs.perplexity.ai/docs/search/filters/language-filter.md)

- [Search Domain Filter](https://docs.perplexity.ai/docs/search/filters/domain-filter.md)

- [People Search](https://docs.perplexity.ai/docs/search/filters/people-search.md)

- [Perplexity Search SDK](https://docs.perplexity.ai/docs/search-sdk/overview.md): An agents-first Python SDK that brings Perplexity's Search as Code approach to your applications: composable retrieval primitives that agents orchestrate in code.

- [Embeddings API](https://docs.perplexity.ai/docs/embeddings/quickstart.md): Generate high-quality text embeddings for semantic search, RAG, and machine learning applications.

- [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.

- [Decider for Mac](https://docs.perplexity.ai/docs/decisions/decider-for-mac.md): Run pplx-decider-flash-v1.2 on your Mac from the menu bar and call the Decisions API at 127.0.0.1 with no API key.

- [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.

@@@ -84,7 +86,7 @@

- [Perplexity with Haystack](https://docs.perplexity.ai/docs/getting-started/integrations/haystack.md): Use Perplexity's Agent API, Embeddings API, and grounded Search API in Haystack pipelines.

- [Perplexity web search in Hermes](https://docs.perplexity.ai/docs/getting-started/integrations/hermes.md): Use free Fast Search by default in Hermes Agent, or configure standard Perplexity web search and page extraction with your API key.

- [Perplexity with LangChain](https://docs.perplexity.ai/docs/getting-started/integrations/langchain.md): Use Perplexity's Agent API from LangChain and LangGraph.

- [Perplexity with LiteLLM](https://docs.perplexity.ai/docs/getting-started/integrations/litellm.md): Use Perplexity's Agent API and presets through LiteLLM's unified interface — Python SDK and Proxy.

- [Perplexity with LiteLLM](https://docs.perplexity.ai/docs/getting-started/integrations/litellm.md): Use Perplexity's Agent API and effort levels through LiteLLM's unified interface — Python SDK and Proxy.

- [Perplexity with LiveKit Agents](https://docs.perplexity.ai/docs/getting-started/integrations/livekit.md): Use Perplexity's Agent API as the LLM brain of a LiveKit voice agent.

- [Perplexity with Mastra](https://docs.perplexity.ai/docs/getting-started/integrations/mastra.md): Use Perplexity's Agent API and the Search API in your Mastra agents and tools.

- [Perplexity with n8n](https://docs.perplexity.ai/docs/getting-started/integrations/n8n.md): Add real-time web search, AI agents, and embeddings to your n8n workflows using the native Perplexity node.

@@@ -106,7 +108,7 @@

- [Community Showcase](https://docs.perplexity.ai/docs/cookbook/showcase/index.md): Applications developers have built on the Perplexity API Platform.

- [Examples Overview](https://docs.perplexity.ai/docs/cookbook/examples/README.md): Runnable projects covering the Agent API, Search API, and Embeddings API

- [Document Q&A with Embeddings](https://docs.perplexity.ai/docs/cookbook/examples/document-qa/README.md): A self-contained RAG system that ingests documents, generates contextualized embeddings, and answers questions using the Agent API

- [Agent Research Assistant](https://docs.perplexity.ai/docs/cookbook/examples/agent-research-assistant/README.md): A CLI tool that uses Perplexity's Agent API with the medium preset to conduct multi-step web research and produce structured reports

- [Agent Research Assistant](https://docs.perplexity.ai/docs/cookbook/examples/agent-research-assistant/README.md): A CLI tool that uses Perplexity's Agent API with the medium effort level to conduct multi-step web research and produce structured reports

- [Equity Research Brief](https://docs.perplexity.ai/docs/cookbook/examples/equity-research-brief/README.md): Generate institutional-grade equity research briefs from any public ticker using the Perplexity Agent API and the built-in finance_search tool.

- [TypeScript Agent CLI](https://docs.perplexity.ai/docs/cookbook/examples/typescript-agent-cli/README.md): An interactive TypeScript CLI with streaming responses, model selection, and web search using the Perplexity Agent API

- [Image Analysis](https://docs.perplexity.ai/docs/cookbook/examples/image-analysis/README.md): Vision-powered image analysis with web search for context-enriched results using the Perplexity Agent API

@@@ -119,13 +121,14 @@

- [Enrich Customer Data with Agent API](https://docs.perplexity.ai/docs/cookbook/examples/customer-enrichment-agent-api/README.md): Use Agent API with people_search to enrich a ClickHouse customer data row and append the result to the table.

- [Model Picker](https://docs.perplexity.ai/docs/cookbook/examples/model-picker/README.md): Describe a task and get a grounded shortlist of open models to use. One Agent API request combines the Hugging Face MCP server with web search to find, verify, and recommend a model.

- [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)

+- [Customizing Effort Levels](https://docs.perplexity.ai/docs/cookbook/examples/agent-api-effort/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 the Decisions API six questions about a numbered screenshot and gets probabilities back. Your code compares them to cutoffs and does th…

- [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…

- [Enrich a CSV of Companies Overnight with the Batch API](https://docs.perplexity.ai/docs/cookbook/examples/batch-api-company-enrichment/README.md): Write one web-grounded Agent API request per CSV row to a JSONL file, run them asynchronously with the Batch API, and join the output back to your row…

- [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.

@@@ -133,7 +136,7 @@

- [Structured Output Extraction](https://docs.perplexity.ai/docs/cookbook/articles/structured-output-extraction/README.md): Get typed, schema-validated JSON responses from the Agent API using response_format with JSON schemas for data extraction, pipelines, and structured research

- [Multi-Provider Orchestration](https://docs.perplexity.ai/docs/cookbook/articles/multi-provider-orchestration/README.md): Route between OpenAI, Anthropic, Google, and xAI models through Perplexity's Agent API with transparent pricing, build fallback chains, and compare providers side-by-side

- [Academic and Scholarly Search](https://docs.perplexity.ai/docs/cookbook/articles/academic-search/README.md): Use the Agent API's domain filtering to restrict search to academic sources, extract DOIs and paper metadata, build citation chains, and create research summaries with proper attribution

- [Deep Research Workflows](https://docs.perplexity.ai/docs/cookbook/articles/async-deep-research/README.md): Use the Agent API medium preset for comprehensive, multi-step research tasks — synchronous usage, batch concurrency, result processing, and production patterns

- [Deep Research Workflows](https://docs.perplexity.ai/docs/cookbook/articles/async-deep-research/README.md): Use the Agent API medium effort level for comprehensive, multi-step research tasks — synchronous usage, batch concurrency, result processing, and production patterns

- [Search Domain Filtering Patterns](https://docs.perplexity.ai/docs/cookbook/articles/search-domain-filtering/README.md): Use search_domain_filter for focused search — allowlist patterns for trusted sources, denylist for excluding domains, and practical patterns for news, government, and competitiv…

- [VC Investment Memo Agent with LangGraph](https://docs.perplexity.ai/docs/cookbook/articles/langchain-vc-memo-agent/README.md): Build an auditable, citation-grounded VC research agent with LangGraph and the Perplexity Agent API, and pick the best search provider with a LangSmith eval harness.

- [Daily AI Stock News PDF with Skills](https://docs.perplexity.ai/docs/cookbook/articles/agent-skills/README.md): Generate a daily one-page AI-industry stock news PDF with the Agent API using the built-in office skill and an inline design skill.

@@@ -159,6 +162,15 @@

- [List skill revisions](https://docs.perplexity.ai/api-reference/skills-revisions-get.md): Lists the revisions of a skill, newest first.

- [Get a skill download URL](https://docs.perplexity.ai/api-reference/skills-download-get.md): Returns a short-lived URL to download the skill bundle as a zip. Without `revision`, returns the active revision.

- [Delete a skill](https://docs.perplexity.ai/api-reference/skills-delete.md): Deletes a skill. Pass the current revision as `expected_revision`; the delete fails with `409` if the skill has a newer revision, so a delete never races a concurrent update.

- [Upload a file](https://docs.perplexity.ai/api-reference/files-create-post.md): Uploads a JSONL batch input file, up to 50,000 lines and 200 MB. Every line is validated before the file is stored. Files expire after 30 days; `expires_after` is not supported and is rejected with a 400.

- [List files](https://docs.perplexity.ai/api-reference/files-list-get.md): Lists your organization's files, both uploads and the output and error files batches write. Deleted and expired files are not listed.

+- [Retrieve a file](https://docs.perplexity.ai/api-reference/files-get.md)

- [Download file content](https://docs.perplexity.ai/api-reference/files-content-get.md): Streams the raw bytes of an input, output, or error file.

- [Delete a file](https://docs.perplexity.ai/api-reference/files-delete.md): Deletes a file. Batches already created from it are not affected.

- [Create a batch](https://docs.perplexity.ai/api-reference/batches-create-post.md): Creates a batch from an uploaded input file. The batch starts in `validating`. Send an `Idempotency-Key` header to make retries safe: a repeat with the same key returns the original batch. `output_expires_after` is …

- [List batches](https://docs.perplexity.ai/api-reference/batches-list-get.md): Lists your organization's batches, newest first.

+- [Retrieve a batch](https://docs.perplexity.ai/api-reference/batches-get.md)

- [Cancel a batch](https://docs.perplexity.ai/api-reference/batches-cancel-post.md): Moves the batch to `cancelling`; it becomes `cancelled` once running items stop. Completed items stay in the output file and are billed. Cancelling a cancelled or cancelling batch returns it unchanged.

- [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.

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