<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Structured-Output on AI Knowledge Base</title><link>https://learn-ai.blindshot.kz/topics/structured-output/</link><description>Recent content in Structured-Output on AI Knowledge Base</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://learn-ai.blindshot.kz/topics/structured-output/index.xml" rel="self" type="application/rss+xml"/><item><title>Prompt Engineering Across Providers</title><link>https://learn-ai.blindshot.kz/paths/prompt-engineering/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/paths/prompt-engineering/</guid><description>&lt;p&gt;Master prompt engineering by studying best practices from Anthropic, OpenAI, and Mistral. Then see how DSPy challenges the entire paradigm by replacing prompts with programs.&lt;/p&gt;
&lt;p&gt;Comparing approaches across providers gives you deeper intuition than studying any single provider&amp;rsquo;s guide.&lt;/p&gt;</description></item><item><title>OpenAI API Essentials</title><link>https://learn-ai.blindshot.kz/paths/openai-essentials/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/paths/openai-essentials/</guid><description>&lt;p&gt;Learn the OpenAI API from first request to advanced features. Covers Chat Completions, function calling, structured outputs, streaming, vision, reasoning models, and embeddings.&lt;/p&gt;</description></item><item><title>Claude API Essentials</title><link>https://learn-ai.blindshot.kz/paths/claude-api-essentials/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/paths/claude-api-essentials/</guid><description>&lt;p&gt;Learn the Anthropic API from first principles. Covers the Messages API, tool use, streaming, structured outputs, extended thinking, and cost optimization.&lt;/p&gt;</description></item><item><title>Structured Outputs</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/structured-outputs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/build-with-claude/structured-outputs/</guid><description>Get reliable JSON outputs from Claude using tool_use or constrained decoding.</description></item><item><title>Annotations</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/document_ai/annotations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/document_ai/annotations/</guid><description>Mistral Document AI API extracts structured data from documents using custom JSON annotations for bboxes and full documents</description></item><item><title>Apply patch</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-apply-patch/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-apply-patch/</guid><description>Allow models to propose structured diffs that your integration applies.</description></item><item><title>Architecture Overview</title><link>https://learn-ai.blindshot.kz/docs/chroma/reference/architecture/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/reference/architecture/overview/</guid><description>How Chroma is structured across local, single-node, and distributed deployments.</description></item><item><title>Basic OCR</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/document_ai/basic_ocr/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/document_ai/basic_ocr/</guid><description>Extract text and structured content from PDFs and images with Mistral&amp;rsquo;s Document AI OCR processor</description></item><item><title>Build Your First Flow</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/guides/flows/first-flow/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/guides/flows/first-flow/</guid><description>Learn how to create structured, event-driven workflows with precise control over execution.</description></item><item><title>Building with AI</title><link>https://learn-ai.blindshot.kz/docs/chroma/guides/build/building-with-ai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/guides/build/building-with-ai/</guid><description>Use LLMs to process unstructured data in your applications.</description></item><item><title>Custom Structured Output</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/structured-output/custom/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/structured-output/custom/</guid><description>Define and enforce JSON output formats using Pydantic or Zod schemas with Mistral AI</description></item><item><title>Document AI</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/document_ai/document_ai_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/document_ai/document_ai_overview/</guid><description>Mistral Document AI offers enterprise-grade OCR, structured data extraction, and multilingual support for fast, accurate document processing</description></item><item><title>Enable JSON mode</title><link>https://learn-ai.blindshot.kz/docs/wandb/inference/response-settings/json-mode/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/inference/response-settings/json-mode/</guid><description>How to use JSON mode with W&amp;amp;B Inference</description></item><item><title>Enable structured output</title><link>https://learn-ai.blindshot.kz/docs/wandb/inference/response-settings/structured-output/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/inference/response-settings/structured-output/</guid><description>How to configure structured output in W&amp;amp;B Inference responses</description></item><item><title>Firecrawl Crawl Website</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/firecrawlcrawlwebsitetool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/firecrawlcrawlwebsitetool/</guid><description>The &amp;lsquo;FirecrawlCrawlWebsiteTool&amp;rsquo; is designed to crawl and convert websites into clean markdown or structured data.</description></item><item><title>Firecrawl Scrape Website</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/firecrawlscrapewebsitetool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/firecrawlscrapewebsitetool/</guid><description>The &amp;lsquo;FirecrawlScrapeWebsiteTool&amp;rsquo; is designed to scrape websites and convert them into clean markdown or structured data.</description></item><item><title>Function Calling</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/function-calling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/function-calling/</guid><description>Learn how to get LLMs to respond to queries with named functions and structured arguments.</description></item><item><title>GEPA for Structured Information Extraction for Enterprise Tasks</title><link>https://learn-ai.blindshot.kz/docs/dspy/tutorials/gepa_facilitysupportanalyzer/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/dspy/tutorials/gepa_facilitysupportanalyzer/_overview/</guid><description/></item><item><title>Github Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/githubsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/githubsearchtool/</guid><description>The &amp;lsquo;GithubSearchTool&amp;rsquo; is designed to search websites and convert them into clean markdown or structured data.</description></item><item><title>Hooks reference</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/hooks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/hooks/</guid><description>Reference for Claude Code hook events, configuration schema, JSON input/output formats, exit codes, async hooks, prompt hooks, and MCP tool hooks.</description></item><item><title>How do Structured Outputs Work?</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/structured-outputs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/structured-outputs/</guid><description>Get Cohere models to produce structured outputs in JSON or tool-call format using response_format and JSON Schema constraints.</description></item><item><title>Instructor</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/instructor/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/instructor/</guid><description>Trace and evaluate structured data extraction from LLMs with Weave&amp;rsquo;s Instructor integration, capturing Pydantic model validation, retry logic, and JSON schema enforcement for reliable structured output workflows.</description></item><item><title>Json Mode</title><link>https://learn-ai.blindshot.kz/docs/deepseek/guides/json_mode/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/guides/json_mode/</guid><description/></item><item><title>JSON mode</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/structured-output/json-mode/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/structured-output/json-mode/</guid><description>Enable JSON mode by setting response_format to type json_object in API requests</description></item><item><title>Multi Agent Structured Output</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/multi-agent-structured-output/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/multi-agent-structured-output/</guid><description>Learn how to use multi agent structured output with W&amp;amp;B Weave</description></item><item><title>OpenAI CLI</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/libraries/openai-cli/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/libraries/openai-cli/</guid><description>Install and use the generated openai command-line tool for Responses, structured outputs, images, speech, and shell workflows.</description></item><item><title>Parameter types for tool use (function calling)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/tool-use-parameter-types/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/tool-use-parameter-types/</guid><description>Guide on using structured outputs with tool parameters in the Cohere Chat API. Includes guide on supported parameter types and usage examples (API v2).</description></item><item><title>Parameter Types in Structured Outputs (JSON)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/parameter-types-in-json/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/parameter-types-in-json/</guid><description>This page shows usage examples of the JSON Schema parameter types supported in Structured Outputs (JSON).</description></item><item><title>Prompt guidance for GPT-5.4</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/prompt-guidance/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/prompt-guidance/</guid><description>Learn prompt patterns and migration guidance for GPT-5.4, including completeness checks, verification loops, tool persistence, and structured outputs.</description></item><item><title>Querying Structured Data (SQL)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/querying-structured-data-sql/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/querying-structured-data-sql/</guid><description>Build an agentic RAG system that can query structured data (SQL).</description></item><item><title>Querying Structured Data (Tables)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/querying-structured-data-tables/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/querying-structured-data-tables/</guid><description>Build an agentic RAG system that can query structured data (tables).</description></item><item><title>Quickstart: How to do OCR</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/quickstart-how-to-do-ocr/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/quickstart-how-to-do-ocr/</guid><description>A step by step guide on how to do OCR with Together AI&amp;rsquo;s vision models with structured outputs</description></item><item><title>Review items in an annotation queue</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/annotation-review/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/annotation-review/</guid><description>Evaluate trace items and submit structured feedback using a simplified review interface.</description></item><item><title>Set up annotation queues</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/annotation-queues/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/annotation-queues/</guid><description>Create annotation queues, route traces to domain experts, and export structured feedback.</description></item><item><title>Structured model outputs</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/structured-outputs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/structured-outputs/</guid><description>Understand how to ensure model responses follow specific JSON Schema you define.</description></item><item><title>Structured output</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/structured-output/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/structured-output/</guid><description>Render structured agent responses with custom UI components instead of plain text</description></item><item><title>Structured output</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/structured-output/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/structured-output/</guid><description/></item><item><title>Structured output</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/structured-output/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/structured-output/</guid><description>Render structured agent responses with custom UI components instead of plain text</description></item><item><title>Structured output</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/structured-output/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/structured-output/</guid><description/></item><item><title>Structured Output</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/structured-output/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/structured-output/overview/</guid><description>Learn to generate structured outputs like JSON for LLM agents and pipelines, with custom and flexible formatting options</description></item><item><title>Structured Outputs</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/structured-outputs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/structured-outputs/</guid><description>&lt;p&gt;Structured outputs let you constrain agent responses to conform to a specific schema, which is essential for building reliable pipelines where downstream code depends on predictable JSON shapes. Focus on how schema definitions interact with the agent loop — the SDK validates output at the framework level rather than relying on prompt engineering alone. A key gotcha is that overly complex schemas can increase latency and reduce output quality, so start with flat structures and add nesting only when needed. Compare this approach with OpenAI&amp;rsquo;s structured outputs to understand the tradeoffs in schema expressiveness and enforcement guarantees.&lt;/p&gt;</description></item><item><title>Structured Outputs</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/structured-responses/structured-response-formatting/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/structured-responses/structured-response-formatting/</guid><description>Enforce output formats using JSON schemas or custom grammars</description></item><item><title>Structured Outputs</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/json-mode/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/json-mode/</guid><description>Learn how to use JSON mode to get structured outputs from LLMs like DeepSeek V3 &amp;amp; Llama 3.3.</description></item><item><title>Structured Outputs for LLMs</title><link>https://learn-ai.blindshot.kz/docs/instructor/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/instructor/_overview/</guid><description>Introduction to structured outputs with LLMs</description></item><item><title>Tavily Extractor Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/tavilyextractortool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/tavilyextractortool/</guid><description>Extract structured content from web pages using the Tavily API</description></item><item><title>Text generation</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/text/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/text/</guid><description>Learn how to use the OpenAI API to generate text from a prompt. Learn about message types and available text formats like JSON and Structured Outputs.</description></item><item><title>Tools</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/tools/</guid><description>Register Python callables as structured tools, manage schemas, and work with tool contexts.</description></item><item><title>Track application versions with models</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/core-types/models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/core-types/models/</guid><description>Track versions of your application with structured models that combine data and code.</description></item><item><title>Unstructured</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/unstructured/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/unstructured/</guid><description/></item></channel></rss>