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observed_at2026-09-23T04:45:28.454Z
origin_date2026-09-23T03:08:40.000Z
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final URLhttps://docs.perplexity.ai/llms.txt
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dateWed, 23 Sep 2026 04:45:28 GMT
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@@@ -69,7 +69,7 @@
- [Analytics API](https://docs.perplexity.ai/docs/admin/computer-analytics-api.md): Query your organization's Perplexity usage analytics programmatically with a free, org-scoped API key
- [Rate Limits & Usage Tiers](https://docs.perplexity.ai/docs/admin/rate-limits-usage-tiers.md)
- [AWS Marketplace](https://docs.perplexity.ai/docs/resources/aws-marketplace.md): Subscribe to the Perplexity API Platform through AWS Marketplace for consolidated billing and enterprise procurement.
-- [Perplexity with AG2](https://docs.perplexity.ai/docs/getting-started/integrations/ag2.md): Use the Perplexity Search API as a tool inside AG2 (AutoGen) agents.
+- [Perplexity with AG2](https://docs.perplexity.ai/docs/getting-started/integrations/ag2.md): Understand how AG2's Perplexity tools use the Search API and Sonar Chat Completions during the Agent API migration.
- [Perplexity with Agno](https://docs.perplexity.ai/docs/getting-started/integrations/agno.md): Use Perplexity's Agent API through Agno's OpenAI Responses integration.
- [Perplexity MCP Server for Google Antigravity](https://docs.perplexity.ai/docs/getting-started/integrations/antigravity.md): Connect Google Antigravity to Perplexity's hosted MCP server with bearer API-key authentication.
- [Perplexity with AnythingLLM](https://docs.perplexity.ai/docs/getting-started/integrations/anythingllm.md): Use Perplexity as the LLM provider in AnythingLLM for grounded, citation-backed chat over your documents and workspaces.
@@@ -158,19 +158,20 @@
- [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.
+- [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.
- [Streaming Citation Parsing](https://docs.perplexity.ai/docs/cookbook/articles/streaming-citations/README.md): Consume streaming responses from the Agent API and extract, validate, and display citations in real-time as chunks arrive
- [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 zero markup, build fallback chains, and compare providers side-by-side
+- [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
- [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.
- [Daily News Digest with LLM Deduplication](https://docs.perplexity.ai/docs/cookbook/articles/news-dedupe-digest/README.md): Build a daily news digest that reports each story once. One Agent API request runs code in the sandbox to fetch the day's news, groups coverage into stories, and delivers the
-- [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
- [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 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]`.

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