openai--openai-cookbook
3532 行
86 KiB
YAML
3532 行
86 KiB
YAML
# yaml-language-server: $schema=./.github/registry_schema.json
|
||
|
||
# This file is used to generate cookbook.openai.com. It specifies which paths we
|
||
# should build pages for, and indicates metadata such as tags, creation date and
|
||
# authors for each page.
|
||
|
||
- title: Trigger a Workspace Agent from the API
|
||
path: examples/chatgpt/workspace_agents/workspace-agents-api-trigger.ipynb
|
||
slug: workspace-agents-api-trigger
|
||
description: Configure a Workspace Agent, add an API channel, and send a live trigger that writes to the agent's configured destination.
|
||
date: 2026-06-18
|
||
authors:
|
||
- neilh-oai
|
||
tags:
|
||
- chatgpt
|
||
- chatgpt-and-api
|
||
- agents
|
||
- enterprise
|
||
- api
|
||
- workspace-agents
|
||
|
||
- title: "SchemaFlow: Agentic Database Change Impact Analysis, SQL Generation, and Eval Guardrails"
|
||
path: examples/partners/schemaflow_design_guide/schemaflow_cookbook.ipynb
|
||
slug: schemaflow-design-guide
|
||
description: Build a staged SchemaFlow pipeline with the OpenAI Agents SDK for database change parsing, impact analysis, rollout planning, SQL generation, guardrails, artifacts, optional File Search grounding, and Promptfoo evals.
|
||
date: 2026-06-05
|
||
authors:
|
||
- shikhar-cyber
|
||
- Atharva Joshi
|
||
- Mohan Kocherlakota
|
||
- Adam Horvath
|
||
- Shashwat Jha
|
||
tags:
|
||
- partners
|
||
- agents-sdk
|
||
- agents
|
||
- evals
|
||
- tracing
|
||
- promptfoo
|
||
- RAG
|
||
- structured-outputs
|
||
|
||
- title: Getting Started with OpenAI Models on Amazon Bedrock
|
||
path: examples/partners/AWS/openai_models_with_amazon_bedrock.ipynb
|
||
slug: openai-models-with-amazon-bedrock
|
||
description: Learn how to invoke an OpenAI-compatible Amazon Bedrock endpoint using the OpenAI Python SDK, along with equivalent cURL examples, and leverage Responses API capabilities available through Amazon Bedrock.
|
||
date: 2026-05-31
|
||
authors:
|
||
- shikhar-cyber
|
||
- sudee-oai
|
||
tags:
|
||
- partners
|
||
- responses
|
||
- api
|
||
- bedrock
|
||
|
||
|
||
- title: Macro Evals for Agentic Systems
|
||
path: examples/partners/macro_evals_for_agentic_systems/macro_evals_for_agentic_systems.ipynb
|
||
slug: macro-evals-for-agentic-systems
|
||
description: A cookbook showing how to evaluate multi-agent systems by clustering trace-level eval signals into recurring behavior patterns and drilling into high-impact patterns.
|
||
date: 2026-05-19
|
||
authors:
|
||
- shikhar-cyber
|
||
- Will Thieme
|
||
- Bradley Strauss
|
||
tags:
|
||
- partners
|
||
- agents
|
||
- evals
|
||
- tracing
|
||
- promptfoo
|
||
- clustering
|
||
|
||
- title: Evaluating Grounded Spatial Reasoning with GPT-5.5
|
||
path: examples/multimodal/grounded_spatial_reasoning_layouts.ipynb
|
||
slug: grounded-spatial-reasoning-layouts
|
||
description: Build a spec-first floorplan layout workflow with vision, structured outputs, and deterministic spatial evals.
|
||
date: 2026-05-11
|
||
authors:
|
||
- sidrampally-oai
|
||
- kathylau-oai
|
||
tags:
|
||
- images
|
||
- vision
|
||
- reasoning
|
||
- structured-outputs
|
||
- evals
|
||
|
||
- title: Using Goals in Codex
|
||
path: examples/codex/using_goals_in_codex.ipynb
|
||
slug: using-goals-in-codex
|
||
description: Use Goals in Codex to keep long-running work moving toward a persistent, evidence-checked outcome across turns.
|
||
date: 2026-05-09
|
||
authors:
|
||
- rajpathak-openai
|
||
- stefanofabbri-oai
|
||
tags:
|
||
- codex
|
||
- goals
|
||
- agents
|
||
- planning
|
||
|
||
- title: Building workspace agents in ChatGPT to complete repeatable, end-to-end work
|
||
path: articles/chatgpt-agents-sales-meeting-prep.md
|
||
slug: chatgpt-agents-sales-meeting-prep
|
||
description: Build, test, schedule, and share a ChatGPT workspace agent that prepares sales meeting briefs with calendar, SharePoint, and web search context.
|
||
date: 2026-04-22
|
||
authors:
|
||
- nikhils-oai
|
||
tags:
|
||
- chatgpt
|
||
- agents
|
||
- enterprise
|
||
- security
|
||
|
||
- title: Computer Use Agents in Daytona Sandboxes
|
||
path: examples/agents_sdk/computer_use_with_daytona/computer_use_with_daytona.ipynb
|
||
slug: computer-use-with-daytona
|
||
description: Build an Agents SDK agent that uses Computer Use on a Daytona sandbox desktop to fill a multi-section web form end to end.
|
||
date: 2026-04-19
|
||
authors:
|
||
- lpesut-daytona
|
||
tags:
|
||
- agents-sdk
|
||
- agents
|
||
- sandbox
|
||
- security
|
||
|
||
- title: Migrate a Legacy Codebase with Sandbox Agents
|
||
path: examples/agents_sdk/sandboxed-code-migration/sandboxed_code_migration_agent.ipynb
|
||
slug: sandboxed-code-migration-agent
|
||
description: Build a sandboxed code-migration agent that splits a modernization campaign into isolated tasks and returns validated patch bundles.
|
||
date: 2026-04-07
|
||
authors:
|
||
- kkahadze-oai
|
||
tags:
|
||
- agents-sdk
|
||
- agents
|
||
- sandbox
|
||
- security
|
||
- evals
|
||
|
||
- title: Migrate from the Claude Agent SDK to the OpenAI Agents SDK
|
||
path: examples/agents_sdk/migrate-from-claude-agent-sdk/README.md
|
||
slug: migrate-from-claude-agent-sdk
|
||
description: Learn how to migrate Claude Agent SDK applications to the OpenAI Agents SDK, including tool mapping, guardrails, handoffs, approvals, and sandbox boundaries.
|
||
date: 2026-05-07
|
||
authors:
|
||
- anshgupta-oai
|
||
tags:
|
||
- agents-sdk
|
||
- agents
|
||
- migration
|
||
- sandbox
|
||
- security
|
||
|
||
- title: Agents SDK Deployment Manager
|
||
path: examples/agents_sdk/deployment_manager/README.md
|
||
slug: agents-sdk-deployment-manager
|
||
description: Run, inspect, and trace local Agents SDK demo apps from a browser-based deployment manager.
|
||
date: 2026-05-05
|
||
authors:
|
||
- alfozan
|
||
tags:
|
||
- agents-sdk
|
||
- agents
|
||
- tracing
|
||
- deployment
|
||
|
||
- title: Getting the Most out of GPT-5.4 for Vision and Document Understanding
|
||
path: examples/multimodal/document_and_multimodal_understanding_tips.ipynb
|
||
slug: vision-understanding
|
||
description: A practical guide to get the best performance on vision tasks with GPT-5.4.
|
||
date: 2026-03-06
|
||
authors:
|
||
- annikab-oai
|
||
- kathylau-oai
|
||
- nsingaraju-oai
|
||
tags:
|
||
- images
|
||
- vision
|
||
- gpt-5.4
|
||
|
||
- title: Building Governed AI Agents - A Practical Guide to Agentic Scaffolding
|
||
path: examples/partners/agentic_governance_guide/agentic_governance_cookbook.ipynb
|
||
slug: agentic-governance-cookbook
|
||
description: A practical guide to building governed AI agents with OpenAI Agents SDK and Guardrails.
|
||
date: 2026-02-23
|
||
authors:
|
||
- shikhar-cyber
|
||
- Pavan Kumar Muthozu
|
||
- Frankie LaCarrubba
|
||
tags:
|
||
- agents
|
||
- tracing
|
||
- guardrails
|
||
- governance
|
||
- evals
|
||
- promptfoo
|
||
- partners
|
||
- security
|
||
|
||
- title: Realtime Eval Guide
|
||
path: examples/Realtime_eval_guide.ipynb
|
||
slug: realtime-eval-guide
|
||
date: 2026-01-25
|
||
authors:
|
||
- minh-hoque
|
||
tags:
|
||
- realtime
|
||
- speech
|
||
- audio
|
||
- responses
|
||
- evals
|
||
|
||
- title: Build your own content fact checker with gpt-oss-120B, Cerebras, and Parallel
|
||
path: articles/gpt-oss/build-your-own-fact-checker-cerebras.ipynb
|
||
slug: build-your-own-fact-checker-cerebras
|
||
description: Cookbook to build a content fact checker with gpt-oss-120B on Cerebras using Parallel.
|
||
date: 2026-01-13
|
||
authors:
|
||
- zhenweig-cerebras
|
||
tags:
|
||
- gpt-oss
|
||
- open-models
|
||
- fact-checking
|
||
- search
|
||
- reasoning
|
||
- cerebras
|
||
|
||
- title: Transcribing User Audio with a Separate Realtime Request
|
||
path: examples/Realtime_out_of_band_transcription.ipynb
|
||
slug: realtime-out-of-band-transcription
|
||
description: Cookbook to transcribe user audio using out-of-band Realtime sessions.
|
||
date: 2025-11-20
|
||
authors:
|
||
- minh-hoque
|
||
tags:
|
||
- realtime
|
||
- transcription
|
||
- speech
|
||
- audio
|
||
|
||
- title: Self-Evolving Agents - A Cookbook for Autonomous Agent Retraining
|
||
path: examples/partners/self_evolving_agents/autonomous_agent_retraining.ipynb
|
||
slug: autonomous-agent-retraining
|
||
date: 2025-11-04
|
||
authors:
|
||
- shikhar-cyber
|
||
- Calvin Maguranis
|
||
- Valentina Frenkel
|
||
- Fanny Perraudeau
|
||
- Giorgio Saladino
|
||
tags:
|
||
- partners
|
||
- self-evolving-agents
|
||
- evals
|
||
- llmops
|
||
- prompt-engineering
|
||
- agent-retraining
|
||
|
||
- title: User guide for gpt-oss-safeguard
|
||
path: articles/gpt-oss-safeguard-guide.md
|
||
slug: gpt-oss-safeguard-guide
|
||
date: 2025-10-29
|
||
authors:
|
||
- roost
|
||
tags:
|
||
- gpt-oss
|
||
- open-models
|
||
- guardrails
|
||
|
||
- title: Build, deploy, and optimize agentic workflows with AgentKit
|
||
path: examples/agentkit/agentkit_walkthrough.ipynb
|
||
slug: agentkit-walkthrough
|
||
date: 2025-10-17
|
||
authors:
|
||
- nikhils-oai
|
||
tags:
|
||
- agentkit
|
||
- evals
|
||
|
||
- title: Building with Realtime Mini
|
||
path: examples/building_w_rt_mini/building_w_rt_mini.ipynb
|
||
slug: building-w-rt-mini
|
||
date: 2025-10-11
|
||
archived: true
|
||
authors:
|
||
- carter-oai
|
||
tags:
|
||
- gpt-realtime-mini
|
||
|
||
- title: Sora 2 Prompting Guide
|
||
path: examples/sora/sora2_prompting_guide.ipynb
|
||
slug: sora2-prompting-guide
|
||
description: Cookbook to craft effective video prompts for Sora 2 generation.
|
||
date: 2026-03-12
|
||
authors:
|
||
- rkoenig-openai
|
||
- joanneshin-openai
|
||
- annikab-oai
|
||
tags:
|
||
- sora
|
||
- prompt
|
||
|
||
- title: Using PLANS.md for multi-hour problem solving
|
||
path: articles/codex_exec_plans.md
|
||
slug: codex-exec-plans
|
||
date: 2025-10-07
|
||
authors:
|
||
- aaronfriel
|
||
tags:
|
||
- codex
|
||
- gpt-5
|
||
- planning
|
||
- documentation
|
||
- agents
|
||
|
||
- title: Building Consistent Workflows with Codex CLI & Agents SDK
|
||
path: examples/codex/codex_mcp_agents_sdk/building_consistent_workflows_codex_cli_agents_sdk.ipynb
|
||
slug: building-consistent-workflows-codex-cli-agents-sdk
|
||
date: 2025-10-01
|
||
authors:
|
||
- jhall-openai
|
||
- charlie-openai
|
||
tags:
|
||
- agents-sdk
|
||
- codex
|
||
- mcp
|
||
|
||
- title: GPT-5 Troubleshooting Guide
|
||
path: examples/gpt-5/gpt-5_troubleshooting_guide.ipynb
|
||
slug: gpt-5-troubleshooting-guide
|
||
date: 2025-09-17
|
||
authors:
|
||
- prashantmital-openai
|
||
- bfioca-openai
|
||
- carter-oai
|
||
tags:
|
||
- gpt-5
|
||
- prompt-optimization
|
||
archived: true
|
||
|
||
- title: Context Engineering - Short-Term Memory Management with Sessions
|
||
path: examples/agents_sdk/session_memory.ipynb
|
||
slug: session-memory
|
||
date: 2025-09-09
|
||
archived: true
|
||
authors:
|
||
- emreokcular
|
||
tags:
|
||
- agents-sdk
|
||
|
||
- title: Automating Code Quality and Security Fixes with Codex CLI on GitLab
|
||
path: examples/codex/secure_quality_gitlab.md
|
||
slug: secure-quality-gitlab
|
||
date: 2025-08-29
|
||
authors:
|
||
- jonlim-openai
|
||
- pap-openai
|
||
tags:
|
||
- codex
|
||
- security
|
||
|
||
- title: Realtime Prompting Guide
|
||
path: examples/Realtime_prompting_guide.ipynb
|
||
slug: realtime-prompting-guide
|
||
date: 2026-02-25
|
||
authors:
|
||
- minh-hoque
|
||
tags:
|
||
- realtime
|
||
- speech
|
||
- audio
|
||
- responses
|
||
|
||
- title: "Fine-tune gpt-oss for better Korean language performance"
|
||
path: articles/gpt-oss/fine-tune-korean.ipynb
|
||
slug: fine-tune-korean
|
||
date: 2025-08-26
|
||
authors:
|
||
- heejingithub
|
||
- danial-openai
|
||
- joanneshin-openai
|
||
tags:
|
||
- gpt-oss
|
||
- open-models
|
||
|
||
- title: Verifying gpt-oss implementations
|
||
path: articles/gpt-oss/verifying-implementations.md
|
||
slug: verifying-implementations
|
||
date: 2025-08-11
|
||
authors:
|
||
- dkundel-openai
|
||
tags:
|
||
- gpt-oss
|
||
- open-models
|
||
- gpt-oss-providers
|
||
|
||
- title: How to run gpt-oss locally with LM Studio
|
||
path: articles/gpt-oss/run-locally-lmstudio.md
|
||
slug: run-locally-lmstudio
|
||
date: 2025-08-07
|
||
authors:
|
||
- yagil
|
||
tags:
|
||
- gpt-oss
|
||
- open-models
|
||
- gpt-oss-local
|
||
|
||
- title: GPT-5 Prompt Migration and Improvement Using the New Optimizer
|
||
path: examples/gpt-5/prompt-optimization-cookbook.ipynb
|
||
slug: prompt-optimization-cookbook
|
||
date: 2025-08-07
|
||
authors:
|
||
- rajpathak-openai
|
||
- corwin
|
||
tags:
|
||
- gpt-5
|
||
- responses
|
||
- reasoning
|
||
- prompt-optimization
|
||
|
||
- title: GPT-5 prompting guide
|
||
path: examples/gpt-5/gpt-5_prompting_guide.ipynb
|
||
slug: gpt-5-prompting-guide
|
||
date: 2025-08-07
|
||
authors:
|
||
- anoop-openai
|
||
- julian-openai
|
||
- ericzakariasson
|
||
- erinkav-openai
|
||
tags:
|
||
- gpt-5
|
||
- responses
|
||
- reasoning
|
||
|
||
- title: Frontend coding with GPT-5
|
||
path: examples/gpt-5/gpt-5_frontend.ipynb
|
||
slug: gpt-5-frontend
|
||
date: 2025-08-07
|
||
authors:
|
||
- WJPBProjects
|
||
- anoop-openai
|
||
tags:
|
||
- gpt-5
|
||
- responses
|
||
- reasoning
|
||
|
||
- title: GPT-5 New Params and Tools
|
||
path: examples/gpt-5/gpt-5_new_params_and_tools.ipynb
|
||
slug: gpt-5-new-params-and-tools
|
||
date: 2025-08-07
|
||
authors:
|
||
- msingh-openai
|
||
tags:
|
||
- gpt-5
|
||
- functions
|
||
- reasoning
|
||
|
||
- title: How to run gpt-oss-20b on Google Colab
|
||
path: articles/gpt-oss/run-colab.ipynb
|
||
slug: run-colab
|
||
date: 2025-08-06
|
||
authors:
|
||
- pcuenca
|
||
- Vaibhavs10
|
||
tags:
|
||
- gpt-oss
|
||
- open-models
|
||
- gpt-oss-server
|
||
archived: true
|
||
|
||
- title: Using NVIDIA TensorRT-LLM to run gpt-oss-20b
|
||
path: articles/gpt-oss/run-nvidia.ipynb
|
||
slug: run-nvidia
|
||
archived: true
|
||
date: 2025-08-05
|
||
authors:
|
||
- jayrodge
|
||
tags:
|
||
- gpt-oss
|
||
- open-models
|
||
- gpt-oss-server
|
||
|
||
- title: Fine-tuning with gpt-oss and Hugging Face Transformers
|
||
path: articles/gpt-oss/fine-tune-transfomers.ipynb
|
||
slug: fine-tune-transfomers
|
||
date: 2025-08-05
|
||
authors:
|
||
- edbeeching
|
||
- qgallouedec
|
||
- lewtun
|
||
tags:
|
||
- open-models
|
||
- gpt-oss
|
||
- gpt-oss-fine-tuning
|
||
|
||
- title: How to handle the raw chain of thought in gpt-oss
|
||
path: articles/gpt-oss/handle-raw-cot.md
|
||
slug: handle-raw-cot
|
||
date: 2025-08-05
|
||
authors:
|
||
- dkundel-openai
|
||
tags:
|
||
- open-models
|
||
- gpt-oss
|
||
- gpt-oss-fine-tuning
|
||
- gpt-oss-providers
|
||
|
||
- title: How to run gpt-oss with Transformers
|
||
path: articles/gpt-oss/run-transformers.md
|
||
slug: run-transformers
|
||
date: 2025-08-05
|
||
authors:
|
||
- dkundel-openai
|
||
tags:
|
||
- open-models
|
||
- gpt-oss
|
||
- gpt-oss-server
|
||
|
||
- title: How to run gpt-oss with vLLM
|
||
path: articles/gpt-oss/run-vllm.md
|
||
slug: run-vllm
|
||
date: 2025-08-05
|
||
authors:
|
||
- dkundel-openai
|
||
tags:
|
||
- open-models
|
||
- gpt-oss
|
||
- gpt-oss-server
|
||
|
||
- title: How to run gpt-oss locally with Ollama
|
||
path: articles/gpt-oss/run-locally-ollama.md
|
||
slug: run-locally-ollama
|
||
date: 2025-08-05
|
||
authors:
|
||
- dkundel-openai
|
||
tags:
|
||
- open-models
|
||
- gpt-oss
|
||
- gpt-oss-local
|
||
|
||
- title: OpenAI Harmony Response Format
|
||
path: articles/openai-harmony.md
|
||
slug: openai-harmony
|
||
date: 2025-08-05
|
||
authors:
|
||
- dkundel-openai
|
||
tags:
|
||
- open-models
|
||
- gpt-oss
|
||
- harmony
|
||
- gpt-oss-providers
|
||
- gpt-oss-fine-tuning
|
||
|
||
- title: Temporal Agents with Knowledge Graphs
|
||
path: examples/partners/temporal_agents_with_knowledge_graphs/temporal_agents.ipynb
|
||
slug: temporal-agents
|
||
date: 2025-07-22
|
||
authors:
|
||
- dwigg-openai
|
||
- shikhar-cyber
|
||
- Alex Heald
|
||
- Douglas Adams
|
||
- Rishabh Sagar
|
||
tags:
|
||
- knowledge-graphs
|
||
- retrieval
|
||
- functions
|
||
- responses
|
||
|
||
- title: Using Evals API on Image Inputs
|
||
path: examples/evaluation/use-cases/EvalsAPI_Image_Inputs.ipynb
|
||
slug: evalsapi-image-inputs
|
||
date: 2025-07-15
|
||
authors:
|
||
- daisyshe-oai
|
||
tags:
|
||
- evals
|
||
- images
|
||
archived: true
|
||
|
||
- title: Using Evals API on Audio Inputs
|
||
path: examples/evaluation/use-cases/EvalsAPI_Audio_Inputs.ipynb
|
||
slug: evalsapi-audio-inputs
|
||
date: 2025-08-13
|
||
authors:
|
||
- hendrytl
|
||
tags:
|
||
- evals
|
||
- audio
|
||
archived: true
|
||
|
||
- title: Optimize Prompts
|
||
path: examples/Optimize_Prompts.ipynb
|
||
slug: optimize-prompts
|
||
date: 2025-07-14
|
||
authors:
|
||
- corwin
|
||
tags:
|
||
- prompt
|
||
- completions
|
||
- responses
|
||
- agents-sdk
|
||
- tracing
|
||
|
||
- title: Automate Jira ↔ GitHub with Codex
|
||
path: examples/codex/jira-github.ipynb
|
||
slug: jira-github
|
||
date: 2025-06-21
|
||
authors:
|
||
- alwell-kevin
|
||
- narenoai
|
||
tags:
|
||
- codex
|
||
- automation
|
||
|
||
- title: Prompt Migration Guide
|
||
path: examples/Prompt_migration_guide.ipynb
|
||
slug: prompt-migration-guide
|
||
date: 2025-06-26
|
||
authors:
|
||
- minh-hoque
|
||
- corwin
|
||
tags:
|
||
- prompt
|
||
- completions
|
||
- responses
|
||
|
||
- title: Fine-Tuning Techniques - Choosing Between SFT, DPO, and RFT (With a Guide to DPO)
|
||
path: examples/Fine_tuning_direct_preference_optimization_guide.ipynb
|
||
slug: fine-tuning-direct-preference-optimization-guide
|
||
date: 2025-06-18
|
||
authors:
|
||
- alexl-oai
|
||
tags:
|
||
- fine-tuning
|
||
|
||
- title: MCP-Powered Agentic Voice Framework
|
||
path: examples/partners/mcp_powered_voice_agents/mcp_powered_agents_cookbook.ipynb
|
||
slug: mcp-powered-agents-cookbook
|
||
date: 2025-06-17
|
||
authors:
|
||
- shikhar-cyber
|
||
- Cece Z
|
||
- Sibon li
|
||
tags:
|
||
- mcp
|
||
- speech
|
||
- agents-sdk
|
||
- functions
|
||
- tracing
|
||
|
||
- title: Building a Supply-Chain Copilot with OpenAI Agent SDK and Databricks MCP Servers
|
||
path: examples/mcp/databricks_mcp_cookbook.ipynb
|
||
slug: databricks-mcp-cookbook
|
||
date: 2025-07-08
|
||
authors:
|
||
- lara-openai
|
||
tags:
|
||
- agents-sdk
|
||
- mcp
|
||
- tracing
|
||
- security
|
||
|
||
- title: Eval Driven System Design - From Prototype to Production
|
||
path: examples/partners/eval_driven_system_design/receipt_inspection.ipynb
|
||
slug: receipt-inspection
|
||
description: Cookbook for eval-driven design of a receipt parsing automation workflow.
|
||
date: 2025-06-02
|
||
authors:
|
||
- shikhar-cyber
|
||
- Hugh Wimberly
|
||
- Joshua Marker
|
||
- Eddie Siegel
|
||
tags:
|
||
- evals
|
||
- API Flywheel
|
||
- completions
|
||
- responses
|
||
- functions
|
||
- tracing
|
||
|
||
- title: Multi-Agent Portfolio Collaboration with OpenAI Agents SDK
|
||
path: examples/agents_sdk/multi-agent-portfolio-collaboration/multi_agent_portfolio_collaboration.ipynb
|
||
slug: multi-agent-portfolio-collaboration
|
||
description: Cookbook for multi-agent portfolio analysis workflows using the OpenAI Agents SDK.
|
||
date: 2025-05-28
|
||
authors:
|
||
- rajpathak-openai
|
||
- chelseahu-openai
|
||
tags:
|
||
- agents-sdk
|
||
- functions
|
||
- responses
|
||
- mutli-agent-collaboration
|
||
|
||
- title: o3/o4-mini Function Calling Guide
|
||
path: examples/o-series/o3o4-mini_prompting_guide.ipynb
|
||
slug: o3o4-mini-prompting-guide
|
||
description: Cookbook to improve o3/o4-mini function calling with prompt best practices.
|
||
archived: true
|
||
date: 2025-05-26
|
||
authors:
|
||
- billchen-openai
|
||
- prashantmital-openai
|
||
tags:
|
||
- functions
|
||
- responses
|
||
- reasoning
|
||
|
||
- title: Exploring Model Graders for Reinforcement Fine-Tuning
|
||
path: examples/Reinforcement_Fine_Tuning.ipynb
|
||
slug: reinforcement-fine-tuning
|
||
description: Cookbook to use model graders for reinforcement fine-tuning in expert tasks.
|
||
date: 2025-05-23
|
||
authors:
|
||
- theophile-oai
|
||
tags:
|
||
- reinforcement-learning
|
||
- fine-tuning
|
||
- reinforcement-learning-graders
|
||
|
||
- title: Reinforcement Fine-Tuning for Conversational Reasoning with the OpenAI API
|
||
path: examples/fine-tuned_qa/reinforcement_finetuning_healthbench.ipynb
|
||
slug: reinforcement-finetuning-healthbench
|
||
description: Cookbook for reinforcement fine-tuning conversational reasoning using HealthBench evaluations.
|
||
date: 2025-05-21
|
||
authors:
|
||
- robert-tinn
|
||
tags:
|
||
- fine-tuning
|
||
- qa
|
||
- evals
|
||
- reinforcement
|
||
|
||
- title: Guide to Using the Responses API's MCP Tool
|
||
path: examples/mcp/mcp_tool_guide.ipynb
|
||
slug: mcp-tool-guide
|
||
description: Cookbook to connect external services using the Responses API MCP tool.
|
||
date: 2025-05-21
|
||
authors:
|
||
- charuj
|
||
tags:
|
||
- mcp
|
||
- security
|
||
|
||
- title: Image Understanding with RAG
|
||
path: examples/multimodal/image_understanding_with_rag.ipynb
|
||
slug: image-understanding-with-rag
|
||
date: 2025-05-16
|
||
authors:
|
||
- robert-tinn
|
||
tags:
|
||
- responses
|
||
- images
|
||
- RAG
|
||
- vision
|
||
|
||
- title: Better performance from reasoning models using the Responses API
|
||
path: examples/responses_api/reasoning_items.ipynb
|
||
slug: reasoning-items
|
||
date: 2025-05-11
|
||
authors:
|
||
- billchen-openai
|
||
tags:
|
||
- responses
|
||
- functions
|
||
|
||
- title: Context Summarization with Realtime API
|
||
path: examples/Context_summarization_with_realtime_api.ipynb
|
||
slug: context-summarization-with-realtime-api
|
||
date: 2025-05-10
|
||
authors:
|
||
- minh-hoque
|
||
tags:
|
||
- audio
|
||
- speech
|
||
- tiktoken
|
||
|
||
- title: Comparing Speech-to-Text Methods with the OpenAI API
|
||
path: examples/Speech_transcription_methods.ipynb
|
||
slug: speech-transcription-methods
|
||
description: Cookbook to compare speech-to-text methods and choose the right approach.
|
||
date: 2025-04-29
|
||
authors:
|
||
- minh-hoque
|
||
tags:
|
||
- audio
|
||
- speech
|
||
- agents-sdk
|
||
|
||
- title: Practical Guide for Model Selection for Real‑World Use Cases
|
||
path: examples/partners/model_selection_guide/model_selection_guide.ipynb
|
||
slug: model-selection-guide
|
||
date: 2025-05-07
|
||
authors:
|
||
- shikhar-cyber
|
||
- kashyapm-tribe
|
||
- saip-tribe
|
||
- nharada-tribe
|
||
tags:
|
||
- responses
|
||
- functions
|
||
- web-search
|
||
- tool calling
|
||
- RAG
|
||
- insurance
|
||
- legal
|
||
- pharma
|
||
|
||
- title: Evals API Use-case - Detecting prompt regressions
|
||
path: examples/evaluation/use-cases/regression.ipynb
|
||
slug: regression
|
||
date: 2025-04-08
|
||
authors:
|
||
- josiah-openai
|
||
tags:
|
||
- evals
|
||
- completions
|
||
|
||
archived: true
|
||
- title: Evals API Use-case - Bulk model and prompt experimentation
|
||
path: examples/evaluation/use-cases/bulk-experimentation.ipynb
|
||
slug: bulk-experimentation
|
||
date: 2025-04-08
|
||
authors:
|
||
- josiah-openai
|
||
tags:
|
||
- evals
|
||
- completions
|
||
|
||
archived: true
|
||
- title: Evals API Use-case - Monitoring stored completions
|
||
path: examples/evaluation/use-cases/completion-monitoring.ipynb
|
||
slug: completion-monitoring
|
||
date: 2025-04-08
|
||
authors:
|
||
- josiah-openai
|
||
tags:
|
||
- evals
|
||
- completions
|
||
|
||
archived: true
|
||
- title: Evals API Use-case - Responses Evaluation
|
||
path: examples/evaluation/use-cases/responses-evaluation.ipynb
|
||
slug: responses-evaluation
|
||
description: Cookbook to evaluate new models against stored Responses API logs.
|
||
date: 2025-05-13
|
||
authors:
|
||
- willhath-openai
|
||
tags:
|
||
- evals
|
||
- responses
|
||
archived: true
|
||
|
||
- title: Multi-Tool Orchestration with RAG approach using OpenAI's Responses API
|
||
path: examples/responses_api/responses_api_tool_orchestration.ipynb
|
||
slug: responses-api-tool-orchestration
|
||
description: Cookbook to route queries across tools with RAG using the Responses API.
|
||
date: 2025-03-28
|
||
authors:
|
||
- shikhar-cyber
|
||
tags:
|
||
- responses
|
||
- functions
|
||
- pinecone
|
||
- web-search
|
||
|
||
- title: Automating Dispute Management with Agents SDK and Stripe API
|
||
path: examples/agents_sdk/dispute_agent.ipynb
|
||
slug: dispute-agent
|
||
archived: true
|
||
date: 2025-03-17
|
||
authors:
|
||
- danbell-openai
|
||
tags:
|
||
- responses
|
||
- agents-sdk
|
||
- functions
|
||
|
||
- title: Web Search and States with Responses API
|
||
path: examples/responses_api/responses_example.ipynb
|
||
slug: responses-example
|
||
date: 2025-03-11
|
||
authors:
|
||
- billchen-openai
|
||
tags:
|
||
- responses
|
||
- web-search
|
||
- functions
|
||
|
||
- title: Using logprobs
|
||
path: examples/Using_logprobs.ipynb
|
||
slug: using-logprobs
|
||
date: 2023-12-20
|
||
authors:
|
||
- jhills20
|
||
- shyamal-anadkat
|
||
tags:
|
||
- completions
|
||
|
||
- title: Creating slides with the Assistants API and DALL·E 3
|
||
path: examples/Creating_slides_with_Assistants_API_and_DALL-E3.ipynb
|
||
slug: creating-slides-with-assistants-api-and-dall-e3
|
||
date: 2023-12-08
|
||
authors:
|
||
- jhills20
|
||
tags:
|
||
- assistants
|
||
- dall-e
|
||
archived: true
|
||
|
||
- title: Data preparation and analysis for chat model fine-tuning
|
||
path: examples/Chat_finetuning_data_prep.ipynb
|
||
slug: chat-finetuning-data-prep
|
||
date: 2023-08-22
|
||
authors:
|
||
- mwu1993
|
||
- simonpfish
|
||
tags:
|
||
- completions
|
||
- tiktoken
|
||
- fine-tuning
|
||
archived: true
|
||
|
||
- title: Classification using embeddings
|
||
path: examples/Classification_using_embeddings.ipynb
|
||
slug: classification-using-embeddings
|
||
date: 2022-07-11
|
||
authors:
|
||
- ted-at-openai
|
||
- logankilpatrick
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Clustering
|
||
path: examples/Clustering.ipynb
|
||
slug: clustering
|
||
date: 2022-03-10
|
||
authors:
|
||
- BorisPower
|
||
- ted-at-openai
|
||
- logankilpatrick
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Clustering for transaction classification
|
||
path: examples/Clustering_for_transaction_classification.ipynb
|
||
slug: clustering-for-transaction-classification
|
||
date: 2022-10-20
|
||
authors:
|
||
- colin-openai
|
||
- ted-at-openai
|
||
tags:
|
||
- embeddings
|
||
- completions
|
||
|
||
- title: Code search using embeddings
|
||
path: examples/Code_search_using_embeddings.ipynb
|
||
slug: code-search-using-embeddings
|
||
date: 2022-03-10
|
||
authors:
|
||
- BorisPower
|
||
- logankilpatrick
|
||
- eli64s
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Customizing embeddings
|
||
path: examples/Customizing_embeddings.ipynb
|
||
slug: customizing-embeddings
|
||
date: 2022-03-10
|
||
authors:
|
||
- ted-at-openai
|
||
- BorisPower
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Embedding Wikipedia articles for search
|
||
path: examples/Embedding_Wikipedia_articles_for_search.ipynb
|
||
slug: embedding-wikipedia-articles-for-search
|
||
date: 2024-11-26
|
||
authors:
|
||
- ted-at-openai
|
||
tags:
|
||
- embeddings
|
||
- completions
|
||
|
||
- title: Embedding texts that are longer than the model's maximum context length
|
||
path: examples/Embedding_long_inputs.ipynb
|
||
slug: embedding-long-inputs
|
||
date: 2023-01-18
|
||
authors:
|
||
- filipeabperes
|
||
tags:
|
||
- embeddings
|
||
- tiktoken
|
||
|
||
- title: Long document content extraction
|
||
path: examples/Entity_extraction_for_long_documents.ipynb
|
||
slug: entity-extraction-for-long-documents
|
||
date: 2023-02-20
|
||
authors:
|
||
- colin-openai
|
||
tags:
|
||
- completions
|
||
|
||
- title: Fine tuning classification example
|
||
path: examples/Fine-tuned_classification.ipynb
|
||
slug: fine-tuned-classification
|
||
date: 2022-03-10
|
||
authors:
|
||
- BorisPower
|
||
tags:
|
||
- completions
|
||
- fine-tuning
|
||
|
||
- title: >-
|
||
Function calling for nearby places: Leveraging the Google Places API and
|
||
customer profiles
|
||
path: examples/Function_calling_finding_nearby_places.ipynb
|
||
slug: function-calling-finding-nearby-places
|
||
date: 2023-08-11
|
||
authors:
|
||
- prestontuggle
|
||
tags:
|
||
- completions
|
||
- functions
|
||
archived: true
|
||
|
||
- title: Using embeddings
|
||
path: examples/Using_embeddings.ipynb
|
||
slug: using-embeddings
|
||
date: 2022-03-10
|
||
authors:
|
||
- BorisPower
|
||
- ted-at-openai
|
||
- logankilpatrick
|
||
- jbeutler-openai
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: How to build a tool-using agent with LangChain
|
||
path: examples/How_to_build_a_tool-using_agent_with_Langchain.ipynb
|
||
slug: how-to-build-a-tool-using-agent-with-langchain
|
||
date: 2023-05-02
|
||
authors:
|
||
- colin-openai
|
||
tags:
|
||
- completions
|
||
- embeddings
|
||
- agents
|
||
|
||
- title: How to use functions with a knowledge base
|
||
path: examples/How_to_call_functions_for_knowledge_retrieval.ipynb
|
||
slug: how-to-call-functions-for-knowledge-retrieval
|
||
archived: true
|
||
date: 2023-06-14
|
||
authors:
|
||
- colin-openai
|
||
- ishida-openai
|
||
tags:
|
||
- completions
|
||
- functions
|
||
|
||
- title: How to call functions with chat models
|
||
path: examples/How_to_call_functions_with_chat_models.ipynb
|
||
slug: how-to-call-functions-with-chat-models
|
||
date: 2023-06-13
|
||
authors:
|
||
- colin-openai
|
||
- joe-at-openai
|
||
tags:
|
||
- completions
|
||
- functions
|
||
archived: true
|
||
|
||
- title: How to count tokens with Tiktoken
|
||
path: examples/How_to_count_tokens_with_tiktoken.ipynb
|
||
slug: how-to-count-tokens-with-tiktoken
|
||
date: 2022-12-16
|
||
authors:
|
||
- ted-at-openai
|
||
tags:
|
||
- tiktoken
|
||
- completions
|
||
|
||
- title: How to fine-tune chat models
|
||
path: examples/How_to_finetune_chat_models.ipynb
|
||
slug: how-to-finetune-chat-models
|
||
date: 2024-07-23
|
||
authors:
|
||
- simonpfish
|
||
- shyamal-anadkat
|
||
tags:
|
||
- completions
|
||
- fine-tuning
|
||
archived: true
|
||
|
||
- title: How to format inputs to ChatGPT models
|
||
path: examples/How_to_format_inputs_to_ChatGPT_models.ipynb
|
||
slug: how-to-format-inputs-to-chatgpt-models
|
||
date: 2023-03-01
|
||
authors:
|
||
- ted-at-openai
|
||
tags:
|
||
- completions
|
||
- tiktoken
|
||
|
||
- title: How to handle rate limits
|
||
path: examples/How_to_handle_rate_limits.ipynb
|
||
slug: how-to-handle-rate-limits
|
||
date: 2025-01-22
|
||
authors:
|
||
- ted-at-openai
|
||
- dwigg-openai
|
||
tags:
|
||
- completions
|
||
- embeddings
|
||
|
||
- title: How to stream completions
|
||
path: examples/How_to_stream_completions.ipynb
|
||
slug: how-to-stream-completions
|
||
date: 2022-09-02
|
||
authors:
|
||
- ted-at-openai
|
||
tags:
|
||
- completions
|
||
|
||
- title: Multiclass Classification for Transactions
|
||
path: examples/Multiclass_classification_for_transactions.ipynb
|
||
slug: multiclass-classification-for-transactions
|
||
date: 2022-10-20
|
||
authors:
|
||
- colin-openai
|
||
- vishnu-oai
|
||
tags:
|
||
- embeddings
|
||
- completions
|
||
|
||
- title: Get embeddings from dataset
|
||
path: examples/Get_embeddings_from_dataset.ipynb
|
||
slug: get-embeddings-from-dataset
|
||
date: 2022-03-10
|
||
authors:
|
||
- BorisPower
|
||
- ted-at-openai
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Question answering using a search API and re-ranking
|
||
path: examples/Question_answering_using_a_search_API.ipynb
|
||
slug: question-answering-using-a-search-api
|
||
date: 2023-06-16
|
||
authors:
|
||
- simonpfish
|
||
- ted-at-openai
|
||
tags:
|
||
- embeddings
|
||
- completions
|
||
archived: true
|
||
|
||
- title: Question answering using embeddings-based search
|
||
path: examples/Question_answering_using_embeddings.ipynb
|
||
slug: question-answering-using-embeddings
|
||
date: 2022-06-10
|
||
authors:
|
||
- ted-at-openai
|
||
- MikeHeaton
|
||
tags:
|
||
- embeddings
|
||
- completions
|
||
archived: true
|
||
|
||
- title: Recommendation using embeddings and nearest neighbor search
|
||
path: examples/Recommendation_using_embeddings.ipynb
|
||
slug: recommendation-using-embeddings
|
||
date: 2022-03-10
|
||
authors:
|
||
- ted-at-openai
|
||
- BorisPower
|
||
- logankilpatrick
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Regression using the embeddings
|
||
path: examples/Regression_using_embeddings.ipynb
|
||
slug: regression-using-embeddings
|
||
date: 2022-03-10
|
||
authors:
|
||
- BorisPower
|
||
- ted-at-openai
|
||
- logankilpatrick
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Search reranking with cross-encoders
|
||
path: examples/Search_reranking_with_cross-encoders.ipynb
|
||
slug: search-reranking-with-cross-encoders
|
||
date: 2023-06-28
|
||
authors:
|
||
- colin-openai
|
||
tags:
|
||
- embeddings
|
||
- completions
|
||
archived: true
|
||
|
||
- title: Semantic text search using embeddings
|
||
path: examples/Semantic_text_search_using_embeddings.ipynb
|
||
slug: semantic-text-search-using-embeddings
|
||
date: 2022-03-10
|
||
authors:
|
||
- BorisPower
|
||
- ted-at-openai
|
||
- logankilpatrick
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Unit test writing using a multi-step prompt
|
||
path: examples/Unit_test_writing_using_a_multi-step_prompt.ipynb
|
||
slug: unit-test-writing-using-a-multi-step-prompt
|
||
date: 2022-11-15
|
||
authors:
|
||
- ted-at-openai
|
||
tags:
|
||
- completions
|
||
|
||
- title: Unit test writing using a multi-step prompt with legacy Completions
|
||
path: >-
|
||
examples/Unit_test_writing_using_a_multi-step_prompt_with_older_completions_API.ipynb
|
||
slug: unit-test-writing-using-a-multi-step-prompt-with-older-completions-api
|
||
date: 2023-05-19
|
||
authors:
|
||
- ted-at-openai
|
||
tags:
|
||
- completions
|
||
|
||
- title: User and product embeddings
|
||
path: examples/User_and_product_embeddings.ipynb
|
||
slug: user-and-product-embeddings
|
||
date: 2022-03-10
|
||
authors:
|
||
- BorisPower
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Visualizing the embeddings in 2D
|
||
path: examples/Visualizing_embeddings_in_2D.ipynb
|
||
slug: visualizing-embeddings-in-2d
|
||
date: 2022-03-10
|
||
authors:
|
||
- BorisPower
|
||
- ted-at-openai
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Visualizing embeddings in 3D
|
||
path: examples/Visualizing_embeddings_in_3D.ipynb
|
||
slug: visualizing-embeddings-in-3d
|
||
date: 2022-03-10
|
||
authors:
|
||
- BorisPower
|
||
- ted-at-openai
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Visualizing embeddings in Weights and Biases
|
||
path: examples/third_party/Visualizing_embeddings_in_wandb.ipynb
|
||
slug: visualizing-embeddings-in-wandb
|
||
date: 2023-02-01
|
||
authors:
|
||
- scottire
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Visualizing embeddings in Atlas
|
||
path: examples/third_party/Visualizing_embeddings_with_Atlas.ipynb
|
||
slug: visualizing-embeddings-with-atlas
|
||
date: 2023-03-28
|
||
authors:
|
||
- AndriyMulyar
|
||
- TDulka
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: "Addressing transcription misspellings: prompt vs post-processing"
|
||
path: examples/Whisper_correct_misspelling.ipynb
|
||
slug: whisper-correct-misspelling
|
||
date: 2023-08-11
|
||
authors:
|
||
- prestontuggle
|
||
tags:
|
||
- whisper
|
||
- audio
|
||
- completions
|
||
archived: true
|
||
|
||
- title: "Enhancing Whisper transcriptions: pre- & post-processing techniques"
|
||
path: examples/Whisper_processing_guide.ipynb
|
||
slug: whisper-processing-guide
|
||
date: 2023-08-11
|
||
authors:
|
||
- prestontuggle
|
||
tags:
|
||
- whisper
|
||
- audio
|
||
archived: true
|
||
|
||
- title: Whisper prompting guide
|
||
path: examples/Whisper_prompting_guide.ipynb
|
||
slug: whisper-prompting-guide
|
||
date: 2023-06-27
|
||
authors:
|
||
- prestontuggle
|
||
tags:
|
||
- whisper
|
||
- audio
|
||
- completions
|
||
archived: true
|
||
|
||
- title: Zero-shot classification with embeddings
|
||
path: examples/Zero-shot_classification_with_embeddings.ipynb
|
||
slug: zero-shot-classification-with-embeddings
|
||
date: 2022-03-10
|
||
authors:
|
||
- BorisPower
|
||
- ted-at-openai
|
||
- logankilpatrick
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Azure Chat Completions example (preview)
|
||
path: examples/azure/chat.ipynb
|
||
slug: chat
|
||
date: 2023-03-28
|
||
authors:
|
||
- cmurtz-msft
|
||
- glecaros
|
||
- kristapratico
|
||
tags:
|
||
- completions
|
||
archived: true
|
||
|
||
- title: Azure Chat Completion models with your own data (preview)
|
||
path: examples/azure/chat_with_your_own_data.ipynb
|
||
slug: chat-with-your-own-data
|
||
date: 2023-09-11
|
||
authors:
|
||
- kristapratico
|
||
tags:
|
||
- completions
|
||
archived: true
|
||
|
||
- title: Azure embeddings example
|
||
path: examples/azure/embeddings.ipynb
|
||
slug: embeddings
|
||
date: 2022-07-12
|
||
authors:
|
||
- ted-at-openai
|
||
- cmurtz-msft
|
||
- glecaros
|
||
- kristapratico
|
||
tags:
|
||
- embeddings
|
||
archived: true
|
||
|
||
- title: Azure functions example
|
||
path: examples/azure/functions.ipynb
|
||
slug: functions
|
||
date: 2023-07-21
|
||
authors:
|
||
- kristapratico
|
||
tags:
|
||
- completions
|
||
- functions
|
||
archived: true
|
||
|
||
- title: Translate a book writen in LaTeX from Slovenian into English
|
||
path: examples/book_translation/translate_latex_book.ipynb
|
||
slug: translate-latex-book
|
||
date: 2022-03-10
|
||
authors:
|
||
- BorisPower
|
||
tags:
|
||
- completions
|
||
- tiktoken
|
||
|
||
- title: How to create dynamic masks with DALL·E and Segment Anything
|
||
path: >-
|
||
examples/dalle/How_to_create_dynamic_masks_with_DALL-E_and_Segment_Anything.ipynb
|
||
slug: how-to-create-dynamic-masks-with-dall-e-and-segment-anything
|
||
date: 2023-05-19
|
||
authors:
|
||
- colin-openai
|
||
tags:
|
||
- dall-e
|
||
archived: true
|
||
|
||
- title: How to use the DALL·E API
|
||
path: examples/dalle/Image_generations_edits_and_variations_with_DALL-E.ipynb
|
||
slug: image-generations-edits-and-variations-with-dall-e
|
||
date: 2022-11-04
|
||
authors:
|
||
- ted-at-openai
|
||
tags:
|
||
- dall-e
|
||
archived: true
|
||
|
||
- title: How to evaluate a summarization task
|
||
path: examples/evaluation/How_to_eval_abstractive_summarization.ipynb
|
||
slug: how-to-eval-abstractive-summarization
|
||
date: 2023-08-16
|
||
authors:
|
||
- shyamal-anadkat
|
||
- simonpfish
|
||
tags:
|
||
- embeddings
|
||
- completions
|
||
archived: true
|
||
|
||
- title: Getting Started with OpenAI Evals
|
||
path: examples/evaluation/Getting_Started_with_OpenAI_Evals.ipynb
|
||
slug: getting-started-with-openai-evals
|
||
date: 2024-03-21
|
||
authors:
|
||
- royziv11
|
||
- shyamal-anadkat
|
||
tags:
|
||
- completions
|
||
archived: true
|
||
|
||
- title: Developing Hallucination Guardrails
|
||
path: examples/Developing_hallucination_guardrails.ipynb
|
||
slug: developing-hallucination-guardrails
|
||
description: Cookbook to build hallucination guardrails with evals for support agents.
|
||
date: 2024-05-29
|
||
authors:
|
||
- royziv11
|
||
tags:
|
||
- guardrails
|
||
archived: true
|
||
|
||
- title: Fine-Tuned Q&A - collect data
|
||
path: examples/fine-tuned_qa/olympics-1-collect-data.ipynb
|
||
slug: olympics-1-collect-data
|
||
date: 2022-03-10
|
||
authors:
|
||
- ted-at-openai
|
||
- BorisPower
|
||
tags:
|
||
- embeddings
|
||
- completions
|
||
- fine-tuning
|
||
|
||
- title: Fine-Tuned Q&A - create Q&A
|
||
path: examples/fine-tuned_qa/olympics-2-create-qa.ipynb
|
||
slug: olympics-2-create-qa
|
||
date: 2022-03-10
|
||
authors:
|
||
- ted-at-openai
|
||
- BorisPower
|
||
tags:
|
||
- embeddings
|
||
- completions
|
||
- fine-tuning
|
||
|
||
- title: Fine-Tuned Q&A - train
|
||
path: examples/fine-tuned_qa/olympics-3-train-qa.ipynb
|
||
slug: olympics-3-train-qa
|
||
date: 2022-03-10
|
||
authors:
|
||
- ted-at-openai
|
||
- BorisPower
|
||
tags:
|
||
- completions
|
||
- embeddings
|
||
- fine-tuning
|
||
|
||
- title: Visualizing the embeddings in Kangas
|
||
path: examples/third_party/Visualizing_embeddings_in_Kangas.ipynb
|
||
slug: visualizing-embeddings-in-kangas
|
||
date: 2023-07-11
|
||
authors:
|
||
- dsblank
|
||
tags:
|
||
- embeddings
|
||
archived: true
|
||
|
||
- title: Financial document analysis with LlamaIndex
|
||
path: >-
|
||
examples/third_party/financial_document_analysis_with_llamaindex.ipynb
|
||
slug: financial-document-analysis-with-llamaindex
|
||
date: 2023-06-22
|
||
authors:
|
||
- Disiok
|
||
tags:
|
||
- embeddings
|
||
- completions
|
||
archived: true
|
||
|
||
- title: Vector databases
|
||
path: examples/vector_databases/README.md
|
||
slug: vector-databases-readme
|
||
date: 2023-06-28
|
||
authors:
|
||
- colin-openai
|
||
- moizsajid
|
||
tags:
|
||
- embeddings
|
||
archived: true
|
||
|
||
- title: Using PolarDB-PG as a vector database for OpenAI embeddings
|
||
path: >-
|
||
examples/vector_databases/PolarDB/Getting_started_with_PolarDB_and_OpenAI.ipynb
|
||
slug: getting-started-with-polardb-and-openai
|
||
date: 2023-07-11
|
||
authors:
|
||
- liuchengshan-lcs
|
||
tags:
|
||
- embeddings
|
||
archived: true
|
||
|
||
- title: Semantic search with SingleStoreDB
|
||
path: >-
|
||
examples/vector_databases/SingleStoreDB/OpenAI_wikipedia_semantic_search.ipynb
|
||
slug: openai-wikipedia-semantic-search
|
||
date: 2023-05-22
|
||
authors:
|
||
- arno756
|
||
tags:
|
||
- completions
|
||
- embeddings
|
||
|
||
- title: SingleStoreDB
|
||
path: examples/vector_databases/SingleStoreDB/README.md
|
||
slug: singlestoredb-readme
|
||
date: 2023-05-22
|
||
authors:
|
||
- arno756
|
||
tags:
|
||
- embeddings
|
||
- completions
|
||
|
||
- title: Using AnalyticDB as a vector database for OpenAI embeddings
|
||
path: >-
|
||
examples/vector_databases/analyticdb/Getting_started_with_AnalyticDB_and_OpenAI.ipynb
|
||
slug: getting-started-with-analyticdb-and-openai
|
||
date: 2023-04-06
|
||
authors:
|
||
- wangxuqi
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Question answering with Langchain, AnalyticDB and OpenAI
|
||
path: >-
|
||
examples/vector_databases/analyticdb/QA_with_Langchain_AnalyticDB_and_OpenAI.ipynb
|
||
slug: qa-with-langchain-analyticdb-and-openai
|
||
date: 2023-05-05
|
||
authors:
|
||
- wangxuqi
|
||
tags:
|
||
- embeddings
|
||
- tiktoken
|
||
|
||
- title: Azure AI Search as a vector database for OpenAI embeddings
|
||
path: >-
|
||
examples/vector_databases/azuresearch/Getting_started_with_azure_ai_search_and_openai.ipynb
|
||
slug: getting-started-with-azure-ai-search-and-openai
|
||
date: 2023-09-11
|
||
authors:
|
||
- farzad528
|
||
tags:
|
||
- embeddings
|
||
archived: true
|
||
|
||
- title: Philosophy with vector embeddings, OpenAI and Cassandra / Astra DB
|
||
path: examples/vector_databases/cassandra_astradb/Philosophical_Quotes_CQL.ipynb
|
||
slug: philosophical-quotes-cql
|
||
date: 2023-08-29
|
||
authors:
|
||
- hemidactylus
|
||
tags:
|
||
- embeddings
|
||
- completions
|
||
archived: true
|
||
|
||
- title: Philosophy with vector embeddings, OpenAI and Cassandra / Astra DB
|
||
path: >-
|
||
examples/vector_databases/cassandra_astradb/Philosophical_Quotes_cassIO.ipynb
|
||
slug: philosophical-quotes-cassio
|
||
date: 2023-08-29
|
||
authors:
|
||
- hemidactylus
|
||
tags:
|
||
- embeddings
|
||
- completions
|
||
archived: true
|
||
|
||
- title: Cassandra / Astra DB
|
||
path: examples/vector_databases/cassandra_astradb/README.md
|
||
slug: cassandra-astradb-readme
|
||
date: 2023-08-29
|
||
authors:
|
||
- hemidactylus
|
||
tags:
|
||
- embeddings
|
||
archived: true
|
||
|
||
- title: Using Chroma for embeddings search
|
||
path: examples/vector_databases/chroma/Using_Chroma_for_embeddings_search.ipynb
|
||
slug: using-chroma-for-embeddings-search
|
||
date: 2023-06-28
|
||
authors:
|
||
- colin-openai
|
||
- atroyn
|
||
tags:
|
||
- embeddings
|
||
archived: true
|
||
|
||
- title: Robust question answering with Chroma and OpenAI
|
||
path: examples/vector_databases/chroma/hyde-with-chroma-and-openai.ipynb
|
||
slug: hyde-with-chroma-and-openai
|
||
date: 2025-04-23
|
||
authors:
|
||
- atroyn
|
||
- brandonbaker-openai
|
||
tags:
|
||
- embeddings
|
||
- completions
|
||
archived: true
|
||
|
||
- title: Elasticsearch
|
||
path: examples/vector_databases/elasticsearch/README.md
|
||
slug: elasticsearch-readme
|
||
date: 2023-08-29
|
||
authors:
|
||
- leemthompo
|
||
tags:
|
||
- embeddings
|
||
- completions
|
||
archived: true
|
||
|
||
- title: Retrieval augmented generation using Elasticsearch and OpenAI
|
||
path: >-
|
||
examples/vector_databases/elasticsearch/elasticsearch-retrieval-augmented-generation.ipynb
|
||
slug: elasticsearch-retrieval-augmented-generation
|
||
date: 2023-08-29
|
||
authors:
|
||
- leemthompo
|
||
tags:
|
||
- embeddings
|
||
- completions
|
||
archived: true
|
||
|
||
- title: Semantic search using Elasticsearch and OpenAI
|
||
path: examples/vector_databases/elasticsearch/elasticsearch-semantic-search.ipynb
|
||
slug: elasticsearch-semantic-search
|
||
date: 2023-08-29
|
||
authors:
|
||
- leemthompo
|
||
tags:
|
||
- embeddings
|
||
archived: true
|
||
|
||
- title: Using Hologres as a vector database for OpenAI embeddings
|
||
path: >-
|
||
examples/vector_databases/hologres/Getting_started_with_Hologres_and_OpenAI.ipynb
|
||
slug: getting-started-with-hologres-and-openai
|
||
date: 2023-05-19
|
||
authors:
|
||
- zcgeng
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Kusto as a vector database for embeddings
|
||
path: >-
|
||
examples/vector_databases/kusto/Getting_started_with_kusto_and_openai_embeddings.ipynb
|
||
slug: getting-started-with-kusto-and-openai-embeddings
|
||
date: 2023-05-10
|
||
authors:
|
||
- Anshul Sharma
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Kusto as a vector database
|
||
path: examples/vector_databases/kusto/README.md
|
||
slug: kusto-readme
|
||
date: 2023-05-10
|
||
authors:
|
||
- Anshul Sharma
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Filtered search with Milvus and OpenAI
|
||
path: >-
|
||
examples/vector_databases/milvus/Filtered_search_with_Milvus_and_OpenAI.ipynb
|
||
slug: filtered-search-with-milvus-and-openai
|
||
date: 2023-03-28
|
||
authors:
|
||
- filip-halt
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Getting started with Milvus and OpenAI
|
||
path: >-
|
||
examples/vector_databases/milvus/Getting_started_with_Milvus_and_OpenAI.ipynb
|
||
slug: getting-started-with-milvus-and-openai
|
||
date: 2023-03-28
|
||
authors:
|
||
- filip-halt
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Using MyScale as a vector database for OpenAI embeddings
|
||
path: >-
|
||
examples/vector_databases/myscale/Getting_started_with_MyScale_and_OpenAI.ipynb
|
||
slug: getting-started-with-myscale-and-openai
|
||
date: 2023-05-01
|
||
authors:
|
||
- melovy
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Using MyScale for embeddings search
|
||
path: examples/vector_databases/myscale/Using_MyScale_for_embeddings_search.ipynb
|
||
slug: using-myscale-for-embeddings-search
|
||
date: 2023-06-28
|
||
authors:
|
||
- colin-openai
|
||
tags:
|
||
- embeddings
|
||
archived: true
|
||
|
||
- title: Retrieval augmentation for GPT-4 using Pinecone
|
||
path: examples/vector_databases/pinecone/GPT4_Retrieval_Augmentation.ipynb
|
||
slug: gpt4-retrieval-augmentation
|
||
date: 2023-03-24
|
||
authors:
|
||
- jamescalam
|
||
tags:
|
||
- embeddings
|
||
- completions
|
||
- tiktoken
|
||
|
||
- title: Retrieval augmented generative question answering with Pinecone
|
||
path: examples/vector_databases/pinecone/Gen_QA.ipynb
|
||
slug: gen-qa
|
||
date: 2023-02-07
|
||
authors:
|
||
- jamescalam
|
||
tags:
|
||
- embeddings
|
||
- completions
|
||
|
||
- title: Pinecone vector database
|
||
path: examples/vector_databases/pinecone/README.md
|
||
slug: pinecone-readme
|
||
date: 2023-03-24
|
||
authors:
|
||
- jamescalam
|
||
tags:
|
||
- embeddings
|
||
- completions
|
||
|
||
- title: Semantic search with Pinecone and OpenAI
|
||
path: examples/vector_databases/pinecone/Semantic_Search.ipynb
|
||
slug: pinecone-semantic-search
|
||
date: 2023-03-24
|
||
authors:
|
||
- jamescalam
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Using Pinecone for embeddings search
|
||
path: >-
|
||
examples/vector_databases/pinecone/Using_Pinecone_for_embeddings_search.ipynb
|
||
slug: using-pinecone-for-embeddings-search
|
||
date: 2023-06-28
|
||
authors:
|
||
- colin-openai
|
||
tags:
|
||
- embeddings
|
||
archived: true
|
||
|
||
- title: Using Qdrant as a vector database for OpenAI embeddings
|
||
path: >-
|
||
examples/vector_databases/qdrant/Getting_started_with_Qdrant_and_OpenAI.ipynb
|
||
slug: getting-started-with-qdrant-and-openai
|
||
date: 2023-02-16
|
||
authors:
|
||
- kacperlukawski
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Question answering with Langchain, Qdrant and OpenAI
|
||
path: examples/vector_databases/qdrant/QA_with_Langchain_Qdrant_and_OpenAI.ipynb
|
||
slug: qa-with-langchain-qdrant-and-openai
|
||
date: 2023-02-16
|
||
authors:
|
||
- kacperlukawski
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Using Qdrant for embeddings search
|
||
path: examples/vector_databases/qdrant/Using_Qdrant_for_embeddings_search.ipynb
|
||
slug: using-qdrant-for-embeddings-search
|
||
date: 2023-06-28
|
||
authors:
|
||
- colin-openai
|
||
- kacperlukawski
|
||
tags:
|
||
- embeddings
|
||
archived: true
|
||
|
||
- title: Redis
|
||
path: examples/vector_databases/redis/README.md
|
||
slug: redis-readme
|
||
date: 2023-02-13
|
||
authors:
|
||
- Spartee
|
||
tags:
|
||
- embeddings
|
||
- completions
|
||
archived: true
|
||
|
||
- title: Using Redis for embeddings search
|
||
path: examples/vector_databases/redis/Using_Redis_for_embeddings_search.ipynb
|
||
slug: using-redis-for-embeddings-search
|
||
date: 2023-06-28
|
||
authors:
|
||
- colin-openai
|
||
tags:
|
||
- embeddings
|
||
archived: true
|
||
|
||
- title: Using Redis as a vector database with OpenAI
|
||
path: examples/vector_databases/redis/getting-started-with-redis-and-openai.ipynb
|
||
slug: getting-started-with-redis-and-openai
|
||
date: 2023-02-13
|
||
authors:
|
||
- Spartee
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Running hybrid VSS queries with Redis and OpenAI
|
||
path: examples/vector_databases/redis/redis-hybrid-query-examples.ipynb
|
||
slug: redis-hybrid-query-examples
|
||
date: 2023-05-11
|
||
authors:
|
||
- Michael Yuan
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Redis vectors as JSON with OpenAI
|
||
path: examples/vector_databases/redis/redisjson/redisjson.ipynb
|
||
slug: redisjson
|
||
date: 2023-05-10
|
||
authors:
|
||
- Michael Yuan
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Redis as a context store with Chat Completions
|
||
path: examples/vector_databases/redis/redisqna/redisqna.ipynb
|
||
slug: redisqna
|
||
date: 2023-05-11
|
||
authors:
|
||
- Michael Yuan
|
||
tags:
|
||
- completions
|
||
- embeddings
|
||
|
||
- title: Using Tair as a vector database for OpenAI embeddings
|
||
path: examples/vector_databases/tair/Getting_started_with_Tair_and_OpenAI.ipynb
|
||
slug: getting-started-with-tair-and-openai
|
||
date: 2023-09-11
|
||
authors:
|
||
- dongqqcom
|
||
tags:
|
||
- embeddings
|
||
archived: true
|
||
|
||
- title: Question answering with Langchain, Tair and OpenAI
|
||
path: examples/vector_databases/tair/QA_with_Langchain_Tair_and_OpenAI.ipynb
|
||
slug: qa-with-langchain-tair-and-openai
|
||
date: 2023-09-11
|
||
authors:
|
||
- dongqqcom
|
||
tags:
|
||
- embeddings
|
||
- tiktoken
|
||
- completions
|
||
archived: true
|
||
|
||
- title: Typesense
|
||
path: examples/vector_databases/typesense/README.md
|
||
slug: typesense-readme
|
||
date: 2023-04-13
|
||
authors:
|
||
- jasonbosco
|
||
tags:
|
||
- embeddings
|
||
archived: true
|
||
|
||
- title: Using Typesense for embeddings search
|
||
path: >-
|
||
examples/vector_databases/typesense/Using_Typesense_for_embeddings_search.ipynb
|
||
slug: using-typesense-for-embeddings-search
|
||
date: 2023-06-28
|
||
authors:
|
||
- colin-openai
|
||
tags:
|
||
- embeddings
|
||
archived: true
|
||
|
||
- title: Weaviate <> OpenAI
|
||
path: examples/vector_databases/weaviate/README.md
|
||
slug: weaviate-readme
|
||
date: 2023-02-13
|
||
authors:
|
||
- colin-openai
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Using Weaviate for embeddings search
|
||
path: >-
|
||
examples/vector_databases/weaviate/Using_Weaviate_for_embeddings_search.ipynb
|
||
slug: using-weaviate-for-embeddings-search
|
||
date: 2023-06-28
|
||
authors:
|
||
- colin-openai
|
||
tags:
|
||
- embeddings
|
||
archived: true
|
||
|
||
- title: Using Weaviate with generative OpenAI module for generative search
|
||
path: >-
|
||
examples/vector_databases/weaviate/generative-search-with-weaviate-and-openai.ipynb
|
||
slug: generative-search-with-weaviate-and-openai
|
||
date: 2023-05-22
|
||
authors:
|
||
- sebawita
|
||
tags:
|
||
- embeddings
|
||
- completions
|
||
|
||
- title: Using Weaviate with OpenAI vectorize module for embeddings search
|
||
path: >-
|
||
examples/vector_databases/weaviate/getting-started-with-weaviate-and-openai.ipynb
|
||
slug: getting-started-with-weaviate-and-openai
|
||
date: 2023-02-13
|
||
authors:
|
||
- colin-openai
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Using Weaviate with OpenAI vectorize module for hybrid search
|
||
path: >-
|
||
examples/vector_databases/weaviate/hybrid-search-with-weaviate-and-openai.ipynb
|
||
slug: hybrid-search-with-weaviate-and-openai
|
||
date: 2023-02-13
|
||
authors:
|
||
- colin-openai
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Question Answering in Weaviate with OpenAI Q&A module
|
||
path: >-
|
||
examples/vector_databases/weaviate/question-answering-with-weaviate-and-openai.ipynb
|
||
slug: question-answering-with-weaviate-and-openai
|
||
date: 2023-02-13
|
||
authors:
|
||
- colin-openai
|
||
tags:
|
||
- embeddings
|
||
- completions
|
||
|
||
- title: Filtered Search with Zilliz and OpenAI
|
||
path: >-
|
||
examples/vector_databases/zilliz/Filtered_search_with_Zilliz_and_OpenAI.ipynb
|
||
slug: filtered-search-with-zilliz-and-openai
|
||
date: 2023-03-28
|
||
authors:
|
||
- filip-halt
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Getting Started with Zilliz and OpenAI
|
||
path: >-
|
||
examples/vector_databases/zilliz/Getting_started_with_Zilliz_and_OpenAI.ipynb
|
||
slug: getting-started-with-zilliz-and-openai
|
||
date: 2023-03-28
|
||
authors:
|
||
- filip-halt
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: Techniques to improve reliability
|
||
path: articles/techniques_to_improve_reliability.md
|
||
slug: techniques-to-improve-reliability
|
||
redirects:
|
||
- techniques_to_improve_reliability
|
||
date: 2022-09-12
|
||
authors:
|
||
- ted-at-openai
|
||
tags:
|
||
- completions
|
||
|
||
- title: How to work with large language models
|
||
path: articles/how_to_work_with_large_language_models.md
|
||
slug: how-to-work-with-large-language-models
|
||
redirects:
|
||
- how_to_work_with_large_language_models
|
||
date: 2023-01-20
|
||
authors:
|
||
- ted-at-openai
|
||
tags:
|
||
- completions
|
||
|
||
- title: Use cases for embeddings
|
||
path: articles/text_comparison_examples.md
|
||
slug: text-comparison-examples
|
||
redirects:
|
||
- text_comparison_examples
|
||
date: 2023-01-20
|
||
authors:
|
||
- ted-at-openai
|
||
tags:
|
||
- embeddings
|
||
|
||
- title: ElatoAI - Realtime Speech AI Agents for ESP32 on Arduino
|
||
path: examples/voice_solutions/running_realtime_api_speech_on_esp32_arduino_edge_runtime_elatoai.md
|
||
slug: running-realtime-api-speech-on-esp32-arduino-edge-runtime-elatoai
|
||
date: 2025-05-01
|
||
authors:
|
||
- akashdeepdeb
|
||
tags:
|
||
- realtime-api
|
||
- speech
|
||
- audio
|
||
- esp32
|
||
- iot
|
||
- arduino
|
||
archived: true
|
||
|
||
- title: Related resources from around the web
|
||
path: articles/related_resources.md
|
||
slug: related-resources
|
||
redirects:
|
||
- related_resources
|
||
date: 2023-01-20
|
||
authors:
|
||
- ted-at-openai
|
||
- simonpfish
|
||
tags:
|
||
- completions
|
||
- embeddings
|
||
|
||
- title: Fine-Tuning for retrieval augmented generation (RAG) with Qdrant
|
||
path: examples/fine-tuned_qa/ft_retrieval_augmented_generation_qdrant.ipynb
|
||
slug: ft-retrieval-augmented-generation-qdrant
|
||
date: 2023-09-04
|
||
authors:
|
||
- NirantK
|
||
tags:
|
||
- completions
|
||
- embeddings
|
||
- fine-tuning
|
||
archived: true
|
||
|
||
- title: How to automate AWS tasks with function calling
|
||
path: examples/third_party/How_to_automate_S3_storage_with_functions.ipynb
|
||
slug: how-to-automate-s3-storage-with-functions
|
||
archived: true
|
||
date: 2023-09-27
|
||
authors:
|
||
- Barqawiz
|
||
tags:
|
||
- completions
|
||
- embeddings
|
||
- functions
|
||
|
||
- title: Neon as a vector database
|
||
path: examples/vector_databases/neon/README.md
|
||
slug: neon-readme
|
||
date: 2023-09-28
|
||
authors:
|
||
- Barqawiz
|
||
tags:
|
||
- embeddings
|
||
archived: true
|
||
|
||
- title: Vector similarity search using Neon Postgres
|
||
path: examples/vector_databases/neon/neon-postgres-vector-search-pgvector.ipynb
|
||
slug: neon-postgres-vector-search-pgvector
|
||
date: 2023-09-28
|
||
authors:
|
||
- danieltprice
|
||
tags:
|
||
- embeddings
|
||
archived: true
|
||
|
||
- title: Question answering with LangChain, Deep Lake, & OpenAI
|
||
path: examples/vector_databases/deeplake/deeplake_langchain_qa.ipynb
|
||
slug: deeplake-langchain-qa
|
||
date: 2023-09-30
|
||
authors:
|
||
- FayazRahman
|
||
tags:
|
||
- embeddings
|
||
archived: true
|
||
|
||
- title: Fine-tuning OpenAI models with Weights & Biases
|
||
path: examples/third_party/GPT_finetuning_with_wandb.ipynb
|
||
slug: gpt-finetuning-with-wandb
|
||
date: 2023-10-04
|
||
authors:
|
||
- ash0ts
|
||
tags:
|
||
- tiktoken
|
||
- completions
|
||
- fine-tuning
|
||
archived: true
|
||
|
||
- title: OpenAI API Monitoring with Weights & Biases Weave
|
||
path: examples/third_party/Openai_monitoring_with_wandb_weave.ipynb
|
||
slug: openai-monitoring-with-wandb-weave
|
||
date: 2023-10-04
|
||
authors:
|
||
- ash0ts
|
||
tags:
|
||
- tiktoken
|
||
- completions
|
||
archived: true
|
||
|
||
- title: How to build an agent with the OpenAI Node.js SDK
|
||
path: examples/How_to_build_an_agent_with_the_node_sdk.mdx
|
||
slug: how-to-build-an-agent-with-the-node-sdk
|
||
date: 2023-10-05
|
||
authors:
|
||
- perborgen
|
||
tags:
|
||
- completions
|
||
- functions
|
||
- agents
|
||
archived: true
|
||
|
||
- title: Named Entity Recognition to Enrich Text
|
||
path: examples/Named_Entity_Recognition_to_enrich_text.ipynb
|
||
slug: named-entity-recognition-to-enrich-text
|
||
date: 2023-10-20
|
||
authors:
|
||
- dcarpintero
|
||
tags:
|
||
- completions
|
||
- functions
|
||
archived: true
|
||
|
||
- title: What makes documentation good
|
||
path: articles/what_makes_documentation_good.md
|
||
slug: what-makes-documentation-good
|
||
redirects:
|
||
- what_makes_documentation_good
|
||
date: 2023-09-01
|
||
authors:
|
||
- ted-at-openai
|
||
tags: []
|
||
|
||
- title: Function calling with an OpenAPI specification
|
||
path: examples/Function_calling_with_an_OpenAPI_spec.ipynb
|
||
slug: function-calling-with-an-openapi-spec
|
||
date: 2023-10-15
|
||
authors:
|
||
- shyamal-anadkat
|
||
- simonpfish
|
||
tags:
|
||
- completions
|
||
- functions
|
||
archived: true
|
||
|
||
- title: Fine tuning for function calling
|
||
path: examples/Fine_tuning_for_function_calling.ipynb
|
||
slug: fine-tuning-for-function-calling
|
||
date: 2023-11-07
|
||
authors:
|
||
- jhills20
|
||
- ibigio
|
||
- shyamal-anadkat
|
||
- teomusatoiu
|
||
tags:
|
||
- completions
|
||
- functions
|
||
- fine-tuning
|
||
archived: true
|
||
|
||
- title: Processing and narrating a video with GPT-4.1-mini's visual capabilities and GPT-4o TTS API
|
||
path: examples/GPT_with_vision_for_video_understanding.ipynb
|
||
slug: gpt-with-vision-for-video-understanding
|
||
date: 2025-04-22
|
||
authors:
|
||
- cathykc
|
||
- rzhao-openai
|
||
tags:
|
||
- responses
|
||
- vision
|
||
- speech
|
||
archived: true
|
||
|
||
- title: What's new with DALL·E 3?
|
||
path: articles/what_is_new_with_dalle_3.mdx
|
||
slug: what-is-new-with-dalle-3
|
||
date: 2023-11-06
|
||
authors:
|
||
- 0hq
|
||
tags:
|
||
- dall-e
|
||
archived: true
|
||
|
||
- title: How to make your completions outputs consistent with the new seed parameter
|
||
path: examples/Reproducible_outputs_with_the_seed_parameter.ipynb
|
||
slug: reproducible-outputs-with-the-seed-parameter
|
||
date: 2023-11-06
|
||
authors:
|
||
- shyamal-anadkat
|
||
tags:
|
||
- completions
|
||
archived: true
|
||
|
||
- title: Assistants API Overview (Python SDK)
|
||
path: examples/Assistants_API_overview_python.ipynb
|
||
slug: assistants-api-overview-python
|
||
date: 2023-11-10
|
||
authors:
|
||
- ibigio
|
||
tags:
|
||
- assistants
|
||
- functions
|
||
archived: true
|
||
|
||
- title: "Orchestrating Agents: Routines and Handoffs"
|
||
path: examples/Orchestrating_agents.ipynb
|
||
slug: orchestrating-agents
|
||
description: Cookbook for orchestrating agent workflows with routines and handoffs.
|
||
date: 2024-10-10
|
||
authors:
|
||
- ibigio
|
||
tags:
|
||
- completions
|
||
- functions
|
||
- agents
|
||
archived: true
|
||
|
||
- title: MongoDB Atlas Vector Search
|
||
path: examples/vector_databases/mongodb_atlas/README.md
|
||
slug: mongodb-atlas-readme
|
||
date: 2023-11-21
|
||
authors:
|
||
- prakul
|
||
tags:
|
||
- embeddings
|
||
- completions
|
||
archived: true
|
||
|
||
- title: Semantic search using MongoDB Atlas Vector Search and OpenAI
|
||
path: examples/vector_databases/mongodb_atlas/semantic_search_using_mongodb_atlas_vector_search.ipynb
|
||
slug: semantic-search-using-mongodb-atlas-vector-search
|
||
date: 2023-11-21
|
||
authors:
|
||
- prakul
|
||
tags:
|
||
- embeddings
|
||
- completions
|
||
archived: true
|
||
|
||
- title: Evaluate RAG with LlamaIndex
|
||
path: examples/evaluation/Evaluate_RAG_with_LlamaIndex.ipynb
|
||
slug: evaluate-rag-with-llamaindex
|
||
date: 2023-11-06
|
||
authors:
|
||
- Ravi Theja
|
||
tags:
|
||
- embeddings
|
||
- completions
|
||
archived: true
|
||
|
||
- title: RAG with a Graph database
|
||
path: examples/RAG_with_graph_db.ipynb
|
||
slug: rag-with-graph-db
|
||
date: 2023-12-08
|
||
authors:
|
||
- katiagg
|
||
tags:
|
||
- embeddings
|
||
- completions
|
||
archived: true
|
||
|
||
- title: Supabase Vector Database
|
||
path: examples/vector_databases/supabase/README.md
|
||
slug: supabase-readme
|
||
date: 2023-12-04
|
||
authors:
|
||
- ggrn
|
||
tags:
|
||
- embeddings
|
||
archived: true
|
||
|
||
- title: Semantic search using Supabase Vector
|
||
path: examples/vector_databases/supabase/semantic-search.mdx
|
||
slug: supabase-semantic-search
|
||
date: 2023-12-04
|
||
authors:
|
||
- ggrn
|
||
tags:
|
||
- embeddings
|
||
archived: true
|
||
|
||
- title: How to implement LLM guardrails
|
||
path: examples/How_to_use_guardrails.ipynb
|
||
slug: how-to-use-guardrails
|
||
date: 2023-12-19
|
||
authors:
|
||
- colin-openai
|
||
tags:
|
||
- guardrails
|
||
archived: true
|
||
|
||
- title: How to combine GPT4o mini with RAG to create a clothing matchmaker app
|
||
path: examples/How_to_combine_GPT4o_with_RAG_Outfit_Assistant.ipynb
|
||
slug: how-to-combine-gpt4o-with-rag-outfit-assistant
|
||
date: 2024-07-18
|
||
authors:
|
||
- teomusatoiu
|
||
tags:
|
||
- vision
|
||
- embeddings
|
||
archived: true
|
||
|
||
- title: How to parse PDF docs for RAG
|
||
path: examples/Parse_PDF_docs_for_RAG.ipynb
|
||
slug: parse-pdf-docs-for-rag
|
||
date: 2024-09-29
|
||
authors:
|
||
- katiagg
|
||
- MW-OAI
|
||
tags:
|
||
- vision
|
||
- embeddings
|
||
archived: true
|
||
|
||
- title: Using GPT4o mini to tag and caption images
|
||
path: examples/Tag_caption_images_with_GPT4V.ipynb
|
||
slug: tag-caption-images-with-gpt4v
|
||
date: 2024-07-18
|
||
authors:
|
||
- katiagg
|
||
tags:
|
||
- vision
|
||
- embeddings
|
||
archived: true
|
||
|
||
- title: How to use the moderation API
|
||
path: examples/How_to_use_moderation.ipynb
|
||
slug: how-to-use-moderation
|
||
date: 2024-03-05
|
||
authors:
|
||
- teomusatoiu
|
||
tags:
|
||
- moderation
|
||
archived: true
|
||
|
||
- title: Summarizing Long Documents
|
||
path: examples/Summarizing_long_documents.ipynb
|
||
slug: summarizing-long-documents
|
||
date: 2024-04-19
|
||
authors:
|
||
- joe-at-openai
|
||
tags:
|
||
- chat
|
||
archived: true
|
||
|
||
- title: Using GPT4 Vision with Function Calling
|
||
path: examples/multimodal/Using_GPT4_Vision_With_Function_Calling.ipynb
|
||
slug: using-gpt4-vision-with-function-calling
|
||
date: 2024-12-13
|
||
authors:
|
||
- shyamal-anadkat
|
||
- MW-OAI
|
||
tags:
|
||
- chat
|
||
- vision
|
||
archived: true
|
||
|
||
- title: Synthetic data generation (Part 1)
|
||
path: examples/SDG1.ipynb
|
||
slug: sdg1
|
||
date: 2024-04-10
|
||
authors:
|
||
- dylanra-openai
|
||
tags:
|
||
- completions
|
||
archived: true
|
||
|
||
- title: CLIP embeddings to improve multimodal RAG with GPT-4 Vision
|
||
path: examples/custom_image_embedding_search.ipynb
|
||
slug: custom-image-embedding-search
|
||
date: 2024-04-10
|
||
authors:
|
||
- dylanra-openai
|
||
tags:
|
||
- vision
|
||
- embeddings
|
||
archived: true
|
||
|
||
- title: Batch processing with the Batch API
|
||
path: examples/batch_processing.ipynb
|
||
slug: batch-processing
|
||
date: 2024-04-24
|
||
authors:
|
||
- katiagg
|
||
tags:
|
||
- batch
|
||
- completions
|
||
archived: true
|
||
|
||
- title: Using tool required for customer service
|
||
path: examples/Using_tool_required_for_customer_service.ipynb
|
||
slug: using-tool-required-for-customer-service
|
||
date: 2024-05-01
|
||
authors:
|
||
- colin-openai
|
||
tags:
|
||
- completions
|
||
- functions
|
||
archived: true
|
||
|
||
- title: Introduction to GPT-4o and GPT-4o mini
|
||
path: examples/gpt4o/introduction_to_gpt4o.ipynb
|
||
slug: introduction-to-gpt4o
|
||
date: 2024-07-18
|
||
authors:
|
||
- justonf
|
||
tags:
|
||
- completions
|
||
- vision
|
||
- whisper
|
||
- audio
|
||
archived: true
|
||
|
||
- title: Azure AI Search with Azure Functions and GPT Actions in ChatGPT
|
||
path: examples/chatgpt/rag-quickstart/azure/Azure_AI_Search_with_Azure_Functions_and_GPT_Actions_in_ChatGPT.ipynb
|
||
slug: azure-ai-search-with-azure-functions-and-gpt-actions-in-chatgpt
|
||
date: 2024-07-08
|
||
authors:
|
||
- maxreid-openai
|
||
tags:
|
||
- embeddings
|
||
- chatgpt
|
||
- tiktoken
|
||
- completions
|
||
- chatgpt-and-api
|
||
archived: true
|
||
|
||
- title: GPT Actions library - getting started
|
||
path: examples/chatgpt/gpt_actions_library/.gpt_action_getting_started.ipynb
|
||
slug: gpt-action-getting-started
|
||
date: 2024-07-09
|
||
authors:
|
||
- aaronwilkowitz-openai
|
||
tags:
|
||
- gpt-actions-library
|
||
- chatgpt
|
||
archived: true
|
||
|
||
- title: GPT Actions library - BigQuery
|
||
path: examples/chatgpt/gpt_actions_library/gpt_action_bigquery.ipynb
|
||
slug: gpt-action-bigquery
|
||
date: 2024-07-09
|
||
authors:
|
||
- aaronwilkowitz-openai
|
||
tags:
|
||
- gpt-actions-library
|
||
- chatgpt
|
||
- chatgpt-data
|
||
archived: true
|
||
|
||
- title: Data Extraction and Transformation in ELT Workflows using GPT-4o as an OCR Alternative
|
||
path: examples/Data_extraction_transformation.ipynb
|
||
slug: data-extraction-transformation
|
||
date: 2024-07-09
|
||
authors:
|
||
- charuj
|
||
tags:
|
||
- completions
|
||
- vision
|
||
archived: true
|
||
|
||
- title: GPT Actions library - Outlook
|
||
path: examples/chatgpt/gpt_actions_library/gpt_action_outlook.ipynb
|
||
slug: gpt-action-outlook
|
||
date: 2024-07-15
|
||
authors:
|
||
- rupert-openai
|
||
tags:
|
||
- gpt-actions-library
|
||
- chatgpt
|
||
- chatgpt-communication
|
||
archived: true
|
||
|
||
- title: GPT Actions library - Sharepoint (Return Docs)
|
||
path: examples/chatgpt/gpt_actions_library/gpt_action_sharepoint_doc.ipynb
|
||
slug: gpt-action-sharepoint-doc
|
||
date: 2024-05-24
|
||
authors:
|
||
- maxreid-openai
|
||
tags:
|
||
- gpt-actions-library
|
||
- chatgpt
|
||
- chatgpt-productivity
|
||
archived: true
|
||
|
||
- title: GPT Actions library - Sharepoint (Return Text)
|
||
path: examples/chatgpt/gpt_actions_library/gpt_action_sharepoint_text.ipynb
|
||
slug: gpt-action-sharepoint-text
|
||
date: 2024-05-24
|
||
authors:
|
||
- maxreid-openai
|
||
tags:
|
||
- gpt-actions-library
|
||
- chatgpt
|
||
- chatgpt-productivity
|
||
archived: true
|
||
|
||
- title: GPT Actions library (Middleware) - Azure Functions
|
||
path: examples/chatgpt/gpt_actions_library/gpt_middleware_azure_function.ipynb
|
||
slug: gpt-middleware-azure-function
|
||
date: 2024-05-24
|
||
authors:
|
||
- maxreid-openai
|
||
tags:
|
||
- gpt-actions-library
|
||
- chatgpt
|
||
- chatgpt-middleware
|
||
archived: true
|
||
|
||
- title: GPT Actions library - Canvas Learning Management System
|
||
path: examples/chatgpt/gpt_actions_library/gpt_action_canvas.md
|
||
slug: gpt-action-canvas
|
||
date: 2024-09-17
|
||
authors:
|
||
- keelan-openai
|
||
- joecasson-openai
|
||
tags:
|
||
- gpt-actions-library
|
||
- chatgpt
|
||
archived: true
|
||
|
||
- title: GPT Actions library - Salesforce
|
||
path: examples/chatgpt/gpt_actions_library/gpt_action_salesforce.ipynb
|
||
slug: gpt-action-salesforce
|
||
date: 2024-07-18
|
||
authors:
|
||
- aa-openai
|
||
tags:
|
||
- gpt-actions-library
|
||
- chatgpt
|
||
archived: true
|
||
|
||
- title: GPT Actions library - Gmail
|
||
path: examples/chatgpt/gpt_actions_library/gpt_action_gmail.ipynb
|
||
slug: gpt-action-gmail
|
||
date: 2024-07-24
|
||
authors:
|
||
- alwestmo-openai
|
||
tags:
|
||
- gpt-actions-library
|
||
- chatgpt
|
||
- chatgpt-communication
|
||
archived: true
|
||
|
||
- title: GPT Actions library - Jira
|
||
path: examples/chatgpt/gpt_actions_library/gpt_action_jira.ipynb
|
||
slug: gpt-action-jira
|
||
date: 2024-07-24
|
||
authors:
|
||
- rupert-openai
|
||
tags:
|
||
- gpt-actions-library
|
||
- chatgpt
|
||
- chatgpt-productivity
|
||
archived: true
|
||
|
||
- title: GPT Actions library - Notion
|
||
path: examples/chatgpt/gpt_actions_library/gpt_action_notion.ipynb
|
||
slug: gpt-action-notion
|
||
date: 2024-07-25
|
||
authors:
|
||
- dan-openai
|
||
tags:
|
||
- gpt-actions-library
|
||
- chatgpt
|
||
- chatgpt-productivity
|
||
archived: true
|
||
|
||
- title: GPT Actions library - Confluence
|
||
path: examples/chatgpt/gpt_actions_library/gpt_action_confluence.ipynb
|
||
slug: gpt-action-confluence
|
||
date: 2024-07-31
|
||
authors:
|
||
- eszuhany-openai
|
||
tags:
|
||
- gpt-actions-library
|
||
- chatgpt
|
||
- chatgpt-productivity
|
||
archived: true
|
||
|
||
- title: GPT Actions library - SQL Database
|
||
path: examples/chatgpt/gpt_actions_library/gpt_action_sql_database.ipynb
|
||
slug: gpt-action-sql-database
|
||
date: 2024-07-31
|
||
authors:
|
||
- evanweiss-openai
|
||
tags:
|
||
- chatgpt
|
||
- gpt-actions-library
|
||
- chatgpt-data
|
||
archived: true
|
||
|
||
- title: GPT Actions library - Box
|
||
path: examples/chatgpt/gpt_actions_library/gpt_action_box.ipynb
|
||
slug: gpt-action-box
|
||
date: 2024-08-02
|
||
authors:
|
||
- keelan-openai
|
||
tags:
|
||
- gpt-actions-library
|
||
- chatgpt
|
||
- chatgpt-productivity
|
||
archived: true
|
||
|
||
- title: GCP BigQuery Vector Search with GCP Functions and GPT Actions in ChatGPT
|
||
path: examples/chatgpt/rag-quickstart/gcp/Getting_started_with_bigquery_vector_search_and_openai.ipynb
|
||
slug: getting-started-with-bigquery-vector-search-and-openai
|
||
date: 2024-08-02
|
||
authors:
|
||
- pap-openai
|
||
- maxreid-openai
|
||
tags:
|
||
- embeddings
|
||
- chatgpt
|
||
- tiktoken
|
||
- completions
|
||
- chatgpt-and-api
|
||
archived: true
|
||
|
||
- title: GPT Actions library - Zapier
|
||
path: examples/chatgpt/gpt_actions_library/gpt_action_zapier.ipynb
|
||
slug: gpt-action-zapier
|
||
date: 2024-08-05
|
||
authors:
|
||
- dan-openai
|
||
tags:
|
||
- gpt-actions-library
|
||
- chatgpt
|
||
- chatgpt-middleware
|
||
archived: true
|
||
|
||
- title: Structured Outputs for Multi-Agent Systems
|
||
path: examples/Structured_outputs_multi_agent.ipynb
|
||
slug: structured-outputs-multi-agent
|
||
date: 2024-08-06
|
||
authors:
|
||
- dylanra-openai
|
||
tags:
|
||
- completions
|
||
- functions
|
||
- agents
|
||
archived: true
|
||
|
||
- title: Introduction to Structured Outputs
|
||
path: examples/Structured_Outputs_Intro.ipynb
|
||
slug: structured-outputs-intro
|
||
date: 2024-08-06
|
||
authors:
|
||
- katiagg
|
||
tags:
|
||
- completions
|
||
- functions
|
||
|
||
- title: GPT Actions library (Middleware) - Google Cloud Function
|
||
path: examples/chatgpt/gpt_actions_library/gpt_middleware_google_cloud_function.md
|
||
slug: gpt-middleware-google-cloud-function
|
||
date: 2024-08-11
|
||
authors:
|
||
- girishd
|
||
tags:
|
||
- chatgpt
|
||
- gpt-actions-library
|
||
- chatgpt-middleware
|
||
archived: true
|
||
|
||
- title: GPT Actions library - AWS Redshift
|
||
path: examples/chatgpt/gpt_actions_library/gpt_action_redshift.ipynb
|
||
slug: gpt-action-redshift
|
||
date: 2024-08-09
|
||
authors:
|
||
- pap-openai
|
||
tags:
|
||
- gpt-actions-library
|
||
- chatgpt
|
||
- chatgpt-data
|
||
archived: true
|
||
|
||
- title: GPT Actions library - AWS Middleware
|
||
path: examples/chatgpt/gpt_actions_library/gpt_middleware_aws_function.ipynb
|
||
slug: gpt-middleware-aws-function
|
||
date: 2024-08-09
|
||
authors:
|
||
- pap-openai
|
||
tags:
|
||
- gpt-actions-library
|
||
- chatgpt
|
||
- chatgpt-middleware
|
||
archived: true
|
||
|
||
- title: GPT Actions library - Google Drive
|
||
path: examples/chatgpt/gpt_actions_library/gpt_action_google_drive.ipynb
|
||
slug: gpt-action-google-drive
|
||
date: 2024-08-11
|
||
authors:
|
||
- lxing-oai
|
||
tags:
|
||
- gpt-actions-library
|
||
- chatgpt
|
||
- chatgpt-productivity
|
||
archived: true
|
||
|
||
- title: GPT Actions library - Snowflake Direct
|
||
path: examples/chatgpt/gpt_actions_library/gpt_action_snowflake_direct.ipynb
|
||
slug: gpt-action-snowflake-direct
|
||
date: 2024-08-13
|
||
authors:
|
||
- gladstone-openai
|
||
tags:
|
||
- gpt-actions-library
|
||
- chatgpt
|
||
- chatgpt-data
|
||
archived: true
|
||
|
||
- title: GPT Actions library - Snowflake Middleware
|
||
path: examples/chatgpt/gpt_actions_library/gpt_action_snowflake_middleware.ipynb
|
||
slug: gpt-action-snowflake-middleware
|
||
date: 2024-08-14
|
||
authors:
|
||
- gladstone-openai
|
||
tags:
|
||
- gpt-actions-library
|
||
- chatgpt
|
||
- chatgpt-data
|
||
archived: true
|
||
|
||
- title: GPT Actions library - Retool Workflow
|
||
path: examples/chatgpt/gpt_actions_library/gpt_action_retool_workflow.md
|
||
slug: gpt-action-retool-workflow
|
||
date: 2024-08-28
|
||
authors:
|
||
- lspacagna-oai
|
||
tags:
|
||
- gpt-actions-library
|
||
- chatgpt
|
||
- chatgpt-middleware
|
||
archived: true
|
||
|
||
- title: Using reasoning for data validation
|
||
path: examples/o1/Using_reasoning_for_data_validation.ipynb
|
||
slug: using-reasoning-for-data-validation
|
||
date: 2024-09-12
|
||
authors:
|
||
- royziv11
|
||
tags:
|
||
- completions
|
||
- reasoning
|
||
archived: true
|
||
|
||
- title: Using reasoning for routine generation
|
||
path: examples/o1/Using_reasoning_for_routine_generation.ipynb
|
||
slug: using-reasoning-for-routine-generation
|
||
date: 2024-09-12
|
||
authors:
|
||
- royziv11
|
||
tags:
|
||
- completions
|
||
- reasoning
|
||
archived: true
|
||
|
||
- title: Using chained calls for o1 structured outputs
|
||
path: examples/o1/Using_chained_calls_for_o1_structured_outputs.ipynb
|
||
slug: using-chained-calls-for-o1-structured-outputs
|
||
date: 2024-09-26
|
||
authors:
|
||
- ericning-o
|
||
tags:
|
||
- completions
|
||
- reasoning
|
||
archived: true
|
||
|
||
- title: Building a Bring Your Own Browser (BYOB) Tool for Web Browsing and Summarization
|
||
path: examples/third_party/Web_search_with_google_api_bring_your_own_browser_tool.ipynb
|
||
slug: web-search-with-google-api-bring-your-own-browser-tool
|
||
date: 2024-09-26
|
||
authors:
|
||
- msingh-openai
|
||
tags:
|
||
- completions
|
||
archived: true
|
||
|
||
- title: Prompt Caching 101
|
||
path: examples/Prompt_Caching101.ipynb
|
||
slug: prompt-caching101
|
||
description: Cookbook to reduce latency and cost using OpenAI prompt caching.
|
||
date: 2024-10-01
|
||
authors:
|
||
- charuj
|
||
tags:
|
||
- latency
|
||
- cost
|
||
- prompt caching
|
||
- completions
|
||
archived: true
|
||
|
||
- title: GPT Actions library - Google Ads via Adzviser
|
||
path: examples/chatgpt/gpt_actions_library/gpt_action_googleads_adzviser.ipynb
|
||
slug: gpt-action-googleads-adzviser
|
||
date: 2024-10-10
|
||
authors:
|
||
- zeyuangu-adzviser
|
||
tags:
|
||
- gpt-actions-library
|
||
- chatgpt
|
||
- chatgpt-data
|
||
- chatgpt-productivity
|
||
- chatgpt-middleware
|
||
archived: true
|
||
|
||
- title: Leveraging model distillation to fine-tune a model
|
||
path: examples/Leveraging_model_distillation_to_fine-tune_a_model.ipynb
|
||
slug: leveraging-model-distillation-to-fine-tune-a-model
|
||
description: Cookbook to distill a larger model into a smaller fine-tuned model.
|
||
date: 2024-10-16
|
||
authors:
|
||
- pap-openai
|
||
tags:
|
||
- completions
|
||
- fine-tuning
|
||
archived: true
|
||
|
||
- title: Voice Translation into Different Languages
|
||
path: examples/voice_solutions/voice_translation_into_different_languages_using_GPT-4o.ipynb
|
||
slug: voice-translation-into-different-languages-using-gpt-4o
|
||
date: 2024-10-21
|
||
authors:
|
||
- msingh-openai
|
||
tags:
|
||
- completions
|
||
- audio
|
||
archived: true
|
||
|
||
- title: Enhance your prompts with meta prompting
|
||
path: examples/Enhance_your_prompts_with_meta_prompting.ipynb
|
||
slug: enhance-your-prompts-with-meta-prompting
|
||
date: 2024-10-23
|
||
authors:
|
||
- teomusatoiu
|
||
tags:
|
||
- completions
|
||
- reasoning
|
||
archived: true
|
||
|
||
- title: GPT Actions library - GitHub
|
||
path: examples/chatgpt/gpt_actions_library/gpt_action_github.md
|
||
slug: gpt-action-github
|
||
date: 2024-10-23
|
||
authors:
|
||
- alwell-kevin
|
||
tags:
|
||
- gpt-actions-library
|
||
- chatgpt
|
||
- chatgpt-productivity
|
||
|
||
- title: Custom LLM as a Judge to Detect Hallucinations with Braintrust
|
||
path: examples/Custom-LLM-as-a-Judge.ipynb
|
||
slug: custom-llm-as-a-judge
|
||
date: 2024-10-14
|
||
authors:
|
||
- ankrgyl
|
||
- shyamal-anadkat
|
||
tags:
|
||
- evals
|
||
- completions
|
||
archived: true
|
||
|
||
- title: Vision Fine-tuning on GPT-4o for Visual Question Answering
|
||
path: examples/multimodal/Vision_Fine_tuning_on_GPT4o_for_Visual_Question_Answering.ipynb
|
||
slug: vision-fine-tuning-on-gpt4o-for-visual-question-answering
|
||
date: 2024-11-01
|
||
authors:
|
||
- danial-openai
|
||
tags:
|
||
- vision
|
||
- fine-tuning
|
||
- completions
|
||
|
||
- title: Steering Text-to-Speech for more dynamic audio generation
|
||
path: examples/voice_solutions/steering_tts.ipynb
|
||
slug: steering-tts
|
||
date: 2024-11-01
|
||
authors:
|
||
- ericning-o
|
||
- gbergengruen
|
||
tags:
|
||
- completions
|
||
- audio
|
||
archived: true
|
||
|
||
- title: Pinecone Vector Database and Retool Workflow with GPT Actions
|
||
path: examples/chatgpt/rag-quickstart/pinecone-retool/gpt-action-pinecone-retool-rag.ipynb
|
||
slug: gpt-action-pinecone-retool-rag
|
||
date: 2024-11-11
|
||
authors:
|
||
- lspacagna-oai
|
||
tags:
|
||
- gpt-actions-library
|
||
- embeddings
|
||
- chatgpt
|
||
- chatgpt-and-api
|
||
archived: true
|
||
|
||
- title: Optimizing Retrieval-Augmented Generation using GPT-4o Vision Modality
|
||
path: examples/vector_databases/pinecone/Using_vision_modality_for_RAG_with_Pinecone.ipynb
|
||
slug: using-vision-modality-for-rag-with-pinecone
|
||
date: 2024-11-12
|
||
authors:
|
||
- msingh-openai
|
||
tags:
|
||
- completions
|
||
- vision
|
||
archived: true
|
||
|
||
- title: GPT Actions library - Workday
|
||
path: examples/chatgpt/gpt_actions_library/gpt_action_workday.md
|
||
slug: gpt-action-workday
|
||
date: 2024-11-20
|
||
authors:
|
||
- erickgort
|
||
- pap-openai
|
||
tags:
|
||
- gpt-actions-library
|
||
- chatgpt-productivity
|
||
- chatgpt
|
||
archived: true
|
||
|
||
- title: GPT Actions library - Google Calendar
|
||
path: examples/chatgpt/gpt_actions_library/gpt_action_google_calendar.md
|
||
slug: gpt-action-google-calendar
|
||
date: 2024-11-22
|
||
authors:
|
||
- lspacagna-oai
|
||
tags:
|
||
- gpt-actions-library
|
||
- chatgpt
|
||
- chatgpt-communication
|
||
archived: true
|
||
|
||
- title: GPT Actions library - Tray.ai APIM
|
||
path: examples/chatgpt/gpt_actions_library/gpt_action_trayai_apim.md
|
||
slug: gpt-action-trayai-apim
|
||
date: 2024-11-26
|
||
authors:
|
||
- kylecote-tray
|
||
tags:
|
||
- gpt-actions-library
|
||
- chatgpt
|
||
- chatgpt-middleware
|
||
archived: true
|
||
|
||
- title: Reasoning over Code Quality and Security in GitHub Pull Requests
|
||
path: examples/third_party/Code_quality_and_security_scan_with_GitHub_Actions.md
|
||
slug: code-quality-and-security-scan-with-github-actions
|
||
date: 2024-12-24
|
||
authors:
|
||
- alwell-kevin
|
||
tags:
|
||
- SDLC
|
||
- reasoning
|
||
- completions
|
||
- security
|
||
|
||
- title: How to evaluate LLMs for SQL generation
|
||
path: examples/evaluation/How_to_evaluate_LLMs_for_SQL_generation.ipynb
|
||
slug: how-to-evaluate-llms-for-sql-generation
|
||
date: 2024-01-23
|
||
authors:
|
||
- colin-openai
|
||
tags:
|
||
- guardrails
|
||
archived: true
|
||
|
||
- title: How to use the Usage API and Cost API to monitor your OpenAI usage
|
||
path: examples/completions_usage_api.ipynb
|
||
slug: completions-usage-api
|
||
description: Cookbook to fetch and visualize Completions Usage and cost data via API.
|
||
date: 2025-01-14
|
||
authors:
|
||
- MW-OAI
|
||
- thli-openai
|
||
tags:
|
||
- usage-api
|
||
- cost-api
|
||
|
||
- title: Build Your Own Code Interpreter - Dynamic Tool Generation and Execution With o3-mini
|
||
path: examples/object_oriented_agentic_approach/Secure_code_interpreter_tool_for_LLM_agents.ipynb
|
||
slug: secure-code-interpreter-tool-for-llm-agents
|
||
date: 2025-02-03
|
||
authors:
|
||
- msingh-openai
|
||
tags:
|
||
- completions
|
||
- security
|
||
|
||
- title: Doing RAG on PDFs using File Search in the Responses API
|
||
path: examples/File_Search_Responses.ipynb
|
||
slug: file-search-responses
|
||
description: Cookbook to search PDFs with the Responses API file search tool.
|
||
date: 2025-03-11
|
||
authors:
|
||
- pap-openai
|
||
tags:
|
||
- responses
|
||
- functions
|
||
|
||
- title: Building a Voice Assistant with the Agents SDK
|
||
path: examples/agents_sdk/app_assistant_voice_agents.ipynb
|
||
slug: app-assistant-voice-agents
|
||
date: 2025-03-27
|
||
authors:
|
||
- rupert-openai
|
||
tags:
|
||
- audio
|
||
- responses
|
||
- speech
|
||
archived: true
|
||
|
||
- title: Build Live Translation Apps with gpt-realtime-translate
|
||
path: examples/voice_solutions/realtime_translation_guide.mdx
|
||
slug: realtime-translation-guide
|
||
description: Cookbook for building browser, phone, and video-call translation experiences with Realtime Translation.
|
||
date: 2026-05-07
|
||
authors:
|
||
- erikakettleson-openai
|
||
tags:
|
||
- realtime
|
||
- audio
|
||
- speech
|
||
- translation
|
||
- webrtc
|
||
- websockets
|
||
|
||
- title: Multi-Language One-Way Translation with the Realtime API
|
||
path: examples/voice_solutions/one_way_translation_using_realtime_api.mdx
|
||
slug: one-way-translation-using-realtime-api
|
||
description: Cookbook to build one-way speech translation with the Realtime API.
|
||
date: 2025-03-24
|
||
archived: true
|
||
authors:
|
||
- erikakettleson-openai
|
||
tags:
|
||
- audio
|
||
- speech
|
||
|
||
- title: Evaluating Agents with Langfuse
|
||
path: examples/agents_sdk/evaluate_agents.ipynb
|
||
slug: evaluate-agents
|
||
date: 2025-03-31
|
||
authors:
|
||
- jannik-maierhofer
|
||
tags:
|
||
- evals
|
||
- agents-sdk
|
||
|
||
- title: GPT Actions library - Salesforce & Gong
|
||
path: examples/chatgpt/gpt_actions_library/gpt_action_salesforce_gong.md
|
||
slug: gpt-action-salesforce-gong
|
||
archived: true
|
||
date: 2025-04-07
|
||
authors:
|
||
- girishd
|
||
tags:
|
||
- chatgpt
|
||
- gpt-actions-library
|
||
- chatgpt-productivity
|
||
|
||
- title: GPT-4.1 Prompting Guide
|
||
path: examples/gpt4-1_prompting_guide.ipynb
|
||
slug: gpt4-1-prompting-guide
|
||
date: 2025-04-14
|
||
authors:
|
||
- nm-openai
|
||
- julian-openai
|
||
tags:
|
||
- responses
|
||
- api
|
||
|
||
- title: Generate images with GPT Image
|
||
path: examples/Generate_Images_With_GPT_Image.ipynb
|
||
slug: generate-images-with-gpt-image
|
||
description: Cookbook to generate and edit images with GPT Image capabilities.
|
||
date: 2025-04-23
|
||
authors:
|
||
- katiagg
|
||
tags:
|
||
- images
|
||
|
||
- title: Handling Function Calls with Reasoning Models
|
||
path: examples/reasoning_function_calls.ipynb
|
||
slug: reasoning-function-calls
|
||
date: 2025-04-25
|
||
authors:
|
||
- tompakeman-oai
|
||
tags:
|
||
- reasoning
|
||
- functions
|
||
- responses
|
||
- api
|
||
archived: true
|
||
|
||
- title: Parallel Agents with the OpenAI Agents SDK
|
||
path: examples/agents_sdk/parallel_agents.ipynb
|
||
slug: parallel-agents
|
||
date: 2025-05-01
|
||
authors:
|
||
- brandonbaker-openai
|
||
tags:
|
||
- agents
|
||
- agents-sdk
|
||
- parallel-agents
|
||
|
||
- title: Practical guide to data-intensive apps with the Realtime API
|
||
path: examples/Data-intensive-Realtime-apps.ipynb
|
||
slug: data-intensive-realtime-apps
|
||
date: 2025-05-29
|
||
authors:
|
||
- alistair-openai
|
||
- rkoenig-openai
|
||
- phundal-openai
|
||
tags:
|
||
- audio
|
||
- speech
|
||
archived: true
|
||
|
||
- title: Selecting a Model Based on Stripe Conversion – A Practical Eval for Startups
|
||
path: examples/stripe_model_eval/selecting_a_model_based_on_stripe_conversion.ipynb
|
||
slug: selecting-a-model-based-on-stripe-conversion
|
||
date: 2025-06-02
|
||
authors:
|
||
- joshbickett
|
||
- lupie
|
||
- shyamal-anadkat
|
||
tags:
|
||
- evals
|
||
- stripe
|
||
- conversion
|
||
archived: true
|
||
|
||
- title: Evals API Use-case - MCP Evaluation
|
||
path: examples/evaluation/use-cases/mcp_eval_notebook.ipynb
|
||
slug: mcp-eval-notebook
|
||
date: 2025-06-09
|
||
authors:
|
||
- josiah-openai
|
||
- shikhar-cyber
|
||
tags:
|
||
- evals-api
|
||
- responses
|
||
- evals
|
||
- mcp
|
||
archived: true
|
||
|
||
- title: Evals API Use-case - Structured Outputs Evaluation
|
||
path: examples/evaluation/use-cases/structured-outputs-evaluation.ipynb
|
||
slug: structured-outputs-evaluation
|
||
date: 2025-06-09
|
||
authors:
|
||
- josiah-openai
|
||
- shikhar-cyber
|
||
tags:
|
||
- evals-api
|
||
- responses
|
||
- evals
|
||
archived: true
|
||
|
||
- title: Evals API Use-case - Tools Evaluation
|
||
path: examples/evaluation/use-cases/tools-evaluation.ipynb
|
||
slug: tools-evaluation
|
||
date: 2025-06-09
|
||
authors:
|
||
- josiah-openai
|
||
- shikhar-cyber
|
||
tags:
|
||
- evals-api
|
||
- responses
|
||
- evals
|
||
archived: true
|
||
|
||
- title: Evals API Use-case - Web Search Evaluation
|
||
path: examples/evaluation/use-cases/web-search-evaluation.ipynb
|
||
slug: web-search-evaluation
|
||
date: 2025-06-09
|
||
authors:
|
||
- josiah-openai
|
||
- shikhar-cyber
|
||
tags:
|
||
- evals-api
|
||
- responses
|
||
- evals
|
||
archived: true
|
||
|
||
- title: Introduction to deep research in the OpenAI API
|
||
path: examples/deep_research_api/introduction_to_deep_research_api.ipynb
|
||
slug: introduction-to-deep-research-api
|
||
date: 2025-06-25
|
||
authors:
|
||
- glojain
|
||
- alwell-kevin
|
||
tags:
|
||
- deep-research-api
|
||
- responses
|
||
- mcp
|
||
- deep-research
|
||
|
||
- title: Deep Research API with the Agents SDK
|
||
path: examples/deep_research_api/introduction_to_deep_research_api_agents.ipynb
|
||
slug: introduction-to-deep-research-api-agents
|
||
date: 2025-06-25
|
||
authors:
|
||
- alwell-kevin
|
||
- glojain
|
||
tags:
|
||
- deep-research-api
|
||
- mcp
|
||
- deep-research
|
||
- agents
|
||
- agents-sdk
|
||
|
||
- title: Building a Deep Research MCP Server
|
||
path: examples/deep_research_api/how_to_build_a_deep_research_mcp_server/README.md
|
||
slug: how-to-build-a-deep-research-mcp-server-readme
|
||
date: 2025-06-25
|
||
authors:
|
||
- alwell-kevin
|
||
- glojain
|
||
tags:
|
||
- mcp
|
||
- deep-research-api
|
||
- responses
|
||
- deep-research
|
||
- agents
|
||
- agents-sdk
|
||
|
||
- title: Generate images with high input fidelity
|
||
path: examples/Generate_Images_With_High_Input_Fidelity.ipynb
|
||
slug: generate-images-with-high-input-fidelity
|
||
description: Cookbook to preserve image details using high input fidelity in Image API.
|
||
date: 2025-07-17
|
||
authors:
|
||
- katiagg
|
||
tags:
|
||
- images
|
||
|
||
- title: Use Codex CLI to automatically fix CI failures
|
||
path: examples/codex/Autofix-github-actions.ipynb
|
||
slug: autofix-github-actions
|
||
date: 2025-09-30
|
||
authors:
|
||
- himadri518
|
||
- alwell-kevin
|
||
- charlie-openai
|
||
tags:
|
||
- codex
|
||
|
||
- title: Building resilient prompts using an evaluation flywheel
|
||
path: examples/evaluation/Building_resilient_prompts_using_an_evaluation_flywheel.md
|
||
slug: building-resilient-prompts-using-an-evaluation-flywheel
|
||
date: 2025-10-06
|
||
authors:
|
||
- neelk-oai
|
||
- hamel
|
||
tags:
|
||
- evals
|
||
- datasets
|
||
|
||
- title: Build Code Review with the Codex SDK
|
||
path: examples/codex/build_code_review_with_codex_sdk.md
|
||
slug: build-code-review-with-codex-sdk
|
||
date: 2025-10-21
|
||
authors:
|
||
- charlie-openai
|
||
- joanneshin-openai
|
||
tags:
|
||
- codex
|
||
- security
|
||
|
||
- title: Context Engineering for Personalization - State Management with Long-Term Memory Notes
|
||
path: examples/agents_sdk/context_personalization.ipynb
|
||
slug: context-personalization
|
||
description: Cookbook to build personalized agents with long-term memory state using the Agents SDK.
|
||
date: 2026-01-05
|
||
archived: true
|
||
authors:
|
||
- emreokcular
|
||
tags:
|
||
- agents-sdk
|
||
- title: Build a coding agent with GPT 5.1
|
||
path: examples/Build_a_coding_agent_with_GPT-5.1.ipynb
|
||
slug: build-a-coding-agent-with-gpt-5-1
|
||
date: 2025-11-13
|
||
authors:
|
||
- katiagg
|
||
tags:
|
||
- agents-sdk
|
||
- security
|
||
|
||
- title: GPT-5.1 Prompting Guide
|
||
path: examples/gpt-5/gpt-5-1_prompting_guide.ipynb
|
||
slug: gpt-5-1-prompting-guide
|
||
date: 2025-11-13
|
||
authors:
|
||
- samarth-oai
|
||
tags:
|
||
- gpt-5.1
|
||
|
||
- title: Codex Prompting Guide
|
||
path: examples/gpt-5/codex_prompting_guide.ipynb
|
||
slug: codex-prompting-guide
|
||
redirects:
|
||
- gpt-5-1-codex-max-prompting-guide
|
||
- gpt-5-1-codex-max_prompting_guide
|
||
- gpt-5-codex-prompting-guide
|
||
- gpt-5-codex_prompting_guide
|
||
date: 2026-02-25
|
||
authors:
|
||
- nm-openai
|
||
- bfioca-openai
|
||
tags:
|
||
- codex
|
||
- responses
|
||
- compaction
|
||
|
||
- title: Modernizing your Codebase with Codex
|
||
path: examples/codex/code_modernization.md
|
||
slug: code-modernization
|
||
description: Cookbook to modernize legacy codebases using the OpenAI Codex CLI.
|
||
date: 2025-11-19
|
||
authors:
|
||
- derrickchoi-openai
|
||
tags:
|
||
- codex
|
||
|
||
- title: OpenAI Compliance Logs Platform quickstart
|
||
path: examples/chatgpt/compliance_api/logs_platform.ipynb
|
||
slug: logs-platform
|
||
date: 2025-12-11
|
||
authors:
|
||
- kevinv-openai
|
||
tags:
|
||
- chatgpt
|
||
- chatgpt-data
|
||
- chatgpt-and-api
|
||
- compliance
|
||
- enterprise
|
||
|
||
- title: GPT-5.2 Prompting Guide
|
||
path: examples/gpt-5/gpt-5-2_prompting_guide.ipynb
|
||
slug: gpt-5-2-prompting-guide
|
||
description: Cookbook to prompt GPT-5.2 for accurate, concise enterprise workflows.
|
||
date: 2025-12-11
|
||
authors:
|
||
- msingh-openai
|
||
- emreokcular
|
||
tags:
|
||
- gpt-5.2
|
||
|
||
- title: Gpt-image-1.5 Prompting Guide
|
||
path: examples/multimodal/image-gen-1.5-prompting_guide.ipynb
|
||
slug: image-gen-1-5-prompting-guide
|
||
description: Cookbook to prompt gpt-image-1.5 for reliable image generation results.
|
||
date: 2025-12-16
|
||
authors:
|
||
- annikab-oai
|
||
- msingh-openai
|
||
- emreokcular
|
||
tags:
|
||
- images
|
||
- vision
|
||
|
||
- title: Prompt Personalities
|
||
path: examples/gpt-5/prompt_personalities.ipynb
|
||
slug: prompt-personalities
|
||
description: Cookbook to shape agent personality via instruction prompts for tone and style.
|
||
date: 2026-01-05
|
||
authors:
|
||
- msingh-openai
|
||
- kathylau-oai
|
||
tags:
|
||
- gpt-5
|
||
- prompt-personalities
|
||
|
||
- title: Image Evals for Image Generation and Editing Use Cases
|
||
path: examples/multimodal/image_evals.ipynb
|
||
slug: image-evals
|
||
description: Cookbook to build image evals for image generation and editing use cases.
|
||
date: 2026-01-29
|
||
authors:
|
||
- emreokcular
|
||
- kathylau-oai
|
||
tags:
|
||
- evals
|
||
- vision
|
||
- images
|
||
|
||
- title: Skills in OpenAI API
|
||
path: examples/skills_in_api.ipynb
|
||
slug: skills-in-api
|
||
description: Cookbook for building skills with the OpenAI API.
|
||
date: 2026-02-10
|
||
authors:
|
||
- emreokcular
|
||
|
||
tags:
|
||
- responses
|
||
- security
|
||
|
||
- title: Prompt Caching 201
|
||
path: examples/Prompt_Caching_201.ipynb
|
||
slug: prompt-caching-201
|
||
description: Cookbook for improving prompt caching hit rate, latency, and cost.
|
||
date: 2026-02-18
|
||
authors:
|
||
- erikakettleson-openai
|
||
tags:
|
||
- prompt-caching
|
||
- latency
|
||
- cost
|
||
- responses
|
||
- realtime
|
||
- title: GPT Image Generation Models Prompting Guide
|
||
path: examples/multimodal/image-gen-models-prompting-guide.ipynb
|
||
slug: image-gen-models-prompting-guide
|
||
description: Cookbook to prompt gpt-image models for reliable image generation results.
|
||
date: 2026-04-21
|
||
authors:
|
||
- msingh-openai
|
||
- emreokcular
|
||
tags:
|
||
- images
|
||
- vision
|
||
|
||
- title: ChatGPT Enterprise Prompting Guide
|
||
path: examples/chatgpt/chatgpt_prompt_guide/chatgpt_prompt_guide.md
|
||
slug: chatgpt_prompt_engineering
|
||
description: Cookbook for writing better prompts for everyday work in ChatGPT Enterprise.
|
||
date: 2026-04-27
|
||
authors:
|
||
- sophiaqin-openai
|
||
- aaronwilkowitz-openai
|
||
tags:
|
||
- chatgpt
|
||
|
||
- title: Building Reliable Agents with Memory and Compaction
|
||
path: examples/agents_sdk/building_reliable_agents_memory_compaction.ipynb
|
||
slug: building-reliable-agents-memory-compaction
|
||
description: Cookbook for building evidence review agent that uses compaction and memory from Agents SDK.
|
||
date: 2026-05-01
|
||
authors:
|
||
- PASFIELD-OAI
|
||
- emreokcular
|
||
tags:
|
||
- agents-sdk
|
||
- agents
|
||
- memory
|
||
- compaction
|
||
|
||
- title: Build iterative repair loops with Codex
|
||
path: examples/codex/Build_iterative_repair_loops_with_Codex.ipynb
|
||
slug: build-iterative-repair-loops-with-codex
|
||
description: A Codex cookbook showing how to use review, repair, and validation loops to improve technical documentation artifacts.
|
||
date: 2026-05-11
|
||
authors:
|
||
- shreekant-openai
|
||
tags:
|
||
- codex
|
||
- agents
|
||
- evals
|
||
|
||
- title: Build an Agent Improvement Loop with Traces, Evals, and Codex
|
||
path: examples/agents_sdk/agent_improvement_loop.ipynb
|
||
slug: agent-improvement-loop
|
||
description: Build a trace-driven improvement loop that turns human and model feedback into Promptfoo evals, HALO-ranked harness changes, and a Codex handoff.
|
||
date: 2026-05-12
|
||
authors:
|
||
- PASFIELD-OAI
|
||
tags:
|
||
- agents-sdk
|
||
- agents
|
||
- evals
|
||
- promptfoo
|
||
- tracing
|
||
- codex
|
||
- halo
|
||
|
||
- title: Moving from OpenAI Evals to Promptfoo
|
||
path: examples/evaluation/moving-from-openai-evals-to-promptfoo.md
|
||
slug: moving-from-openai-evals-to-promptfoo
|
||
description: Migrate supported OpenAI Evals evaluations to runnable Promptfoo configurations and preserve historical results.
|
||
date: 2026-06-03
|
||
authors:
|
||
- kkahadze-oai
|
||
tags:
|
||
- evals
|
||
- promptfoo
|