- title: Realtime Eval Guide
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title: Realtime Eval Guide path: examples/Realtime_eval_guide.ipynb slug: realtime-eval-guide date: 2026-01-25 authors:
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:
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:
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:
title: User guide for gpt-oss-safeguard path: articles/gpt-oss-safeguard-guide.md slug: gpt-oss-safeguard-guide date: 2025-10-29 authors:
title: Build, deploy, and optimize agentic workflows with AgentKit path: examples/agentkit/agentkit_walkthrough.ipynb slug: agentkit-walkthrough date: 2025-10-17 authors:
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 authors:
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: 2025-10-06 authors:
title: Using PLANS.md for multi-hour problem solving path: articles/codex_exec_plans.md slug: codex-exec-plans date: 2025-10-07 authors:
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:
title: GPT-5 Troubleshooting Guide path: examples/gpt-5/gpt-5_troubleshooting_guide.ipynb slug: gpt-5-troubleshooting-guide date: 2025-09-17 authors:
title: Context Engineering - Short-Term Memory Management with Sessions from OpenAI Agents SDK path: examples/agents_sdk/session_memory.ipynb slug: session-memory date: 2025-09-09 authors:
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:
title: Realtime Prompting Guide path: examples/Realtime_prompting_guide.ipynb slug: realtime-prompting-guide date: 2025-08-28 authors:
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:
title: Verifying gpt-oss implementations path: articles/gpt-oss/verifying-implementations.md slug: verifying-implementations date: 2025-08-11 authors:
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:
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:
title: GPT-5 prompting guide path: examples/gpt-5/gpt-5_prompting_guide.ipynb slug: gpt-5-prompting-guide date: 2025-08-07 authors:
title: Frontend coding with GPT-5 path: examples/gpt-5/gpt-5_frontend.ipynb slug: gpt-5-frontend date: 2025-08-07 authors:
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:
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:
title: Using NVIDIA TensorRT-LLM to run gpt-oss-20b path: articles/gpt-oss/run-nvidia.ipynb slug: run-nvidia date: 2025-08-05 authors:
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:
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:
title: How to run gpt-oss with Transformers path: articles/gpt-oss/run-transformers.md slug: run-transformers date: 2025-08-05 authors:
title: How to run gpt-oss with vLLM path: articles/gpt-oss/run-vllm.md slug: run-vllm date: 2025-08-05 authors:
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:
title: OpenAI Harmony Response Format path: articles/openai-harmony.md slug: openai-harmony date: 2025-08-05 authors:
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:
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:
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:
title: Optimize Prompts path: examples/Optimize_Prompts.ipynb slug: optimize-prompts date: 2025-07-14 authors:
title: Automate Jira ↔ GitHub with Codex path: examples/codex/jira-github.ipynb slug: jira-github date: 2025-06-21 authors:
title: Prompt Migration Guide path: examples/Prompt_migration_guide.ipynb slug: prompt-migration-guide date: 2025-06-26 authors:
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:
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:
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:
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:
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:
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. date: 2025-05-26 authors:
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:
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:
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:
title: Image Understanding with RAG path: examples/multimodal/image_understanding_with_rag.ipynb slug: image-understanding-with-rag date: 2025-05-16 authors:
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:
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:
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:
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:
title: Evals API Use-case - Detecting prompt regressions path: examples/evaluation/use-cases/regression.ipynb slug: regression date: 2025-04-08 authors:
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:
title: Evals API Use-case - Monitoring stored completions path: examples/evaluation/use-cases/completion-monitoring.ipynb slug: completion-monitoring date: 2025-04-08 authors:
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:
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:
title: Automating Dispute Management with Agents SDK and Stripe API path: examples/agents_sdk/dispute_agent.ipynb slug: dispute-agent date: 2025-03-17 authors:
title: Web Search and States with Responses API path: examples/responses_api/responses_example.ipynb slug: responses-example date: 2025-03-11 authors:
title: Using logprobs path: examples/Using_logprobs.ipynb slug: using-logprobs date: 2023-12-20 authors:
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:
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:
title: Classification using embeddings path: examples/Classification_using_embeddings.ipynb slug: classification-using-embeddings date: 2022-07-11 authors:
title: Clustering path: examples/Clustering.ipynb slug: clustering date: 2022-03-10 authors:
title: Clustering for transaction classification path: examples/Clustering_for_transaction_classification.ipynb slug: clustering-for-transaction-classification date: 2022-10-20 authors:
title: Code search using embeddings path: examples/Code_search_using_embeddings.ipynb slug: code-search-using-embeddings date: 2022-03-10 authors:
title: Customizing embeddings path: examples/Customizing_embeddings.ipynb slug: customizing-embeddings date: 2022-03-10 authors:
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:
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:
title: Long document content extraction path: examples/Entity_extraction_for_long_documents.ipynb slug: entity-extraction-for-long-documents date: 2023-02-20 authors:
title: Fine tuning classification example path: examples/Fine-tuned_classification.ipynb slug: fine-tuned-classification date: 2022-03-10 authors:
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:
title: Using embeddings path: examples/Using_embeddings.ipynb slug: using-embeddings date: 2022-03-10 authors:
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:
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 date: 2023-06-14 authors:
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:
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:
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:
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:
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:
title: How to stream completions path: examples/How_to_stream_completions.ipynb slug: how-to-stream-completions date: 2022-09-02 authors:
title: Multiclass Classification for Transactions path: examples/Multiclass_classification_for_transactions.ipynb slug: multiclass-classification-for-transactions date: 2022-10-20 authors:
title: Get embeddings from dataset path: examples/Get_embeddings_from_dataset.ipynb slug: get-embeddings-from-dataset date: 2022-03-10 authors:
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:
title: Question answering using embeddings-based search path: examples/Question_answering_using_embeddings.ipynb slug: question-answering-using-embeddings date: 2022-06-10 authors:
title: Recommendation using embeddings and nearest neighbor search path: examples/Recommendation_using_embeddings.ipynb slug: recommendation-using-embeddings date: 2022-03-10 authors:
title: Regression using the embeddings path: examples/Regression_using_embeddings.ipynb slug: regression-using-embeddings date: 2022-03-10 authors:
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:
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:
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:
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:
title: User and product embeddings path: examples/User_and_product_embeddings.ipynb slug: user-and-product-embeddings date: 2022-03-10 authors:
title: Visualizing the embeddings in 2D path: examples/Visualizing_embeddings_in_2D.ipynb slug: visualizing-embeddings-in-2d date: 2022-03-10 authors:
title: Visualizing embeddings in 3D path: examples/Visualizing_embeddings_in_3D.ipynb slug: visualizing-embeddings-in-3d date: 2022-03-10 authors:
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:
title: Visualizing embeddings in Atlas path: examples/third_party/Visualizing_embeddings_with_Atlas.ipynb slug: visualizing-embeddings-with-atlas date: 2023-03-28 authors:
title: "Addressing transcription misspellings: prompt vs post-processing" path: examples/Whisper_correct_misspelling.ipynb slug: whisper-correct-misspelling date: 2023-08-11 authors:
title: "Enhancing Whisper transcriptions: pre- & post-processing techniques" path: examples/Whisper_processing_guide.ipynb slug: whisper-processing-guide date: 2023-08-11 authors:
title: Whisper prompting guide path: examples/Whisper_prompting_guide.ipynb slug: whisper-prompting-guide date: 2023-06-27 authors:
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:
title: Azure Chat Completions example (preview) path: examples/azure/chat.ipynb slug: chat date: 2023-03-28 authors:
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:
title: Azure embeddings example path: examples/azure/embeddings.ipynb slug: embeddings date: 2022-07-12 authors:
title: Azure functions example path: examples/azure/functions.ipynb slug: functions date: 2023-07-21 authors:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
title: Vector databases path: examples/vector_databases/README.md slug: vector-databases-readme date: 2023-06-28 authors:
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:
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:
title: SingleStoreDB path: examples/vector_databases/SingleStoreDB/README.md slug: singlestoredb-readme date: 2023-05-22 authors:
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:
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:
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:
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:
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:
title: Cassandra / Astra DB path: examples/vector_databases/cassandra_astradb/README.md slug: cassandra-astradb-readme date: 2023-08-29 authors:
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:
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:
title: Elasticsearch path: examples/vector_databases/elasticsearch/README.md slug: elasticsearch-readme date: 2023-08-29 authors:
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:
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:
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:
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:
title: Kusto as a vector database path: examples/vector_databases/kusto/README.md slug: kusto-readme date: 2023-05-10 authors:
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:
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:
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:
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:
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:
title: Retrieval augmented generative question answering with Pinecone path: examples/vector_databases/pinecone/Gen_QA.ipynb slug: gen-qa date: 2023-02-07 authors:
title: Pinecone vector database path: examples/vector_databases/pinecone/README.md slug: pinecone-readme date: 2023-03-24 authors:
title: Semantic search with Pinecone and OpenAI path: examples/vector_databases/pinecone/Semantic_Search.ipynb slug: pinecone-semantic-search date: 2023-03-24 authors:
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:
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:
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:
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:
title: Redis path: examples/vector_databases/redis/README.md slug: redis-readme date: 2023-02-13 authors:
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:
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:
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:
title: Redis vectors as JSON with OpenAI path: examples/vector_databases/redis/redisjson/redisjson.ipynb slug: redisjson date: 2023-05-10 authors:
title: Redis as a context store with Chat Completions path: examples/vector_databases/redis/redisqna/redisqna.ipynb slug: redisqna date: 2023-05-11 authors:
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:
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:
title: Typesense path: examples/vector_databases/typesense/README.md slug: typesense-readme date: 2023-04-13 authors:
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:
title: Weaviate <> OpenAI path: examples/vector_databases/weaviate/README.md slug: weaviate-readme date: 2023-02-13 authors:
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:
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:
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:
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:
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:
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:
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:
title: Techniques to improve reliability path: articles/techniques_to_improve_reliability.md slug: techniques-to-improve-reliability redirects:
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:
title: Use cases for embeddings path: articles/text_comparison_examples.md slug: text-comparison-examples redirects:
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:
title: Related resources from around the web path: articles/related_resources.md slug: related-resources redirects:
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:
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 date: 2023-09-27 authors:
title: Neon as a vector database path: examples/vector_databases/neon/README.md slug: neon-readme date: 2023-09-28 authors:
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:
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:
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:
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:
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:
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:
title: What makes documentation good path: articles/what_makes_documentation_good.md slug: what-makes-documentation-good redirects:
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:
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:
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:
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:
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:
title: Assistants API Overview (Python SDK) path: examples/Assistants_API_overview_python.ipynb slug: assistants-api-overview-python date: 2023-11-10 authors:
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:
title: MongoDB Atlas Vector Search path: examples/vector_databases/mongodb_atlas/README.md slug: mongodb-atlas-readme date: 2023-11-21 authors:
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:
title: Evaluate RAG with LlamaIndex path: examples/evaluation/Evaluate_RAG_with_LlamaIndex.ipynb slug: evaluate-rag-with-llamaindex date: 2023-11-06 authors:
title: RAG with a Graph database path: examples/RAG_with_graph_db.ipynb slug: rag-with-graph-db date: 2023-12-08 authors:
title: Supabase Vector Database path: examples/vector_databases/supabase/README.md slug: supabase-readme date: 2023-12-04 authors:
title: Semantic search using Supabase Vector path: examples/vector_databases/supabase/semantic-search.mdx slug: supabase-semantic-search date: 2023-12-04 authors:
title: How to implement LLM guardrails path: examples/How_to_use_guardrails.ipynb slug: how-to-use-guardrails date: 2023-12-19 authors:
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:
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:
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:
title: How to use the moderation API path: examples/How_to_use_moderation.ipynb slug: how-to-use-moderation date: 2024-03-05 authors:
title: Summarizing Long Documents path: examples/Summarizing_long_documents.ipynb slug: summarizing-long-documents date: 2024-04-19 authors:
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:
title: Synthetic data generation (Part 1) path: examples/SDG1.ipynb slug: sdg1 date: 2024-04-10 authors:
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:
title: Batch processing with the Batch API path: examples/batch_processing.ipynb slug: batch-processing date: 2024-04-24 authors:
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:
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:
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:
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:
title: GPT Actions library - BigQuery path: examples/chatgpt/gpt_actions_library/gpt_action_bigquery.ipynb slug: gpt-action-bigquery date: 2024-07-09 authors:
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:
title: GPT Actions library - Outlook path: examples/chatgpt/gpt_actions_library/gpt_action_outlook.ipynb slug: gpt-action-outlook date: 2024-07-15 authors:
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:
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:
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:
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:
title: GPT Actions library - Salesforce path: examples/chatgpt/gpt_actions_library/gpt_action_salesforce.ipynb slug: gpt-action-salesforce date: 2024-07-18 authors:
title: GPT Actions library - Gmail path: examples/chatgpt/gpt_actions_library/gpt_action_gmail.ipynb slug: gpt-action-gmail date: 2024-07-24 authors:
title: GPT Actions library - Jira path: examples/chatgpt/gpt_actions_library/gpt_action_jira.ipynb slug: gpt-action-jira date: 2024-07-24 authors:
title: GPT Actions library - Notion path: examples/chatgpt/gpt_actions_library/gpt_action_notion.ipynb slug: gpt-action-notion date: 2024-07-25 authors:
title: GPT Actions library - Confluence path: examples/chatgpt/gpt_actions_library/gpt_action_confluence.ipynb slug: gpt-action-confluence date: 2024-07-31 authors:
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:
title: GPT Actions library - Box path: examples/chatgpt/gpt_actions_library/gpt_action_box.ipynb slug: gpt-action-box date: 2024-08-02 authors:
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:
title: GPT Actions library - Zapier path: examples/chatgpt/gpt_actions_library/gpt_action_zapier.ipynb slug: gpt-action-zapier date: 2024-08-05 authors:
title: Structured Outputs for Multi-Agent Systems path: examples/Structured_outputs_multi_agent.ipynb slug: structured-outputs-multi-agent date: 2024-08-06 authors:
title: Introduction to Structured Outputs path: examples/Structured_Outputs_Intro.ipynb slug: structured-outputs-intro date: 2024-08-06 authors:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
title: GPT Actions library - GitHub path: examples/chatgpt/gpt_actions_library/gpt_action_github.md slug: gpt-action-github date: 2024-10-23 authors:
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:
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:
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:
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:
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:
title: GPT Actions library - Workday path: examples/chatgpt/gpt_actions_library/gpt_action_workday.md slug: gpt-action-workday date: 2024-11-20 authors:
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:
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:
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:
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:
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:
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:
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:
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:
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 authors:
title: Evaluating Agents with Langfuse path: examples/agents_sdk/evaluate_agents.ipynb slug: evaluate-agents date: 2025-03-31 authors:
title: GPT Actions library - Salesforce & Gong path: examples/chatgpt/gpt_actions_library/gpt_action_salesforce_gong.md slug: gpt-action-salesforce-gong date: 2025-04-07 authors:
title: GPT-4.1 Prompting Guide path: examples/gpt4-1_prompting_guide.ipynb slug: gpt4-1-prompting-guide date: 2025-04-14 authors:
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:
title: Handling Function Calls with Reasoning Models path: examples/reasoning_function_calls.ipynb slug: reasoning-function-calls date: 2025-04-25 authors:
title: Parallel Agents with the OpenAI Agents SDK path: examples/agents_sdk/parallel_agents.ipynb slug: parallel-agents date: 2025-05-01 authors:
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:
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:
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:
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:
title: Evals API Use-case - Tools Evaluation path: examples/evaluation/use-cases/tools-evaluation.ipynb slug: tools-evaluation date: 2025-06-09 authors:
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:
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:
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:
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:
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:
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:
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:
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:
title: Context Engineering for Personalization - State Management with Long-Term Memory Notes using OpenAI Agents SDK 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 authors:
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:
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:
title: Codex Prompting Guide path: examples/gpt-5/codex_prompting_guide.ipynb slug: codex-prompting-guide redirects:
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:
title: OpenAI Compliance Logs Platform quickstart path: examples/chatgpt/compliance_api/logs_platform.ipynb slug: logs-platform date: 2025-12-11 authors:
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:
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:
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:
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: