'responses' 검색 결과

Find current official documentation for OpenAI products and APIs, then get concise guidance with source citations. Use it to check implementation approaches, model capabilities, and limits, with code examples grounded in the documentation.

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• Check how to implement features with Responses API
• Look up Codex usage
• Explore how to build ChatGPT apps with Apps SDK

Retrieve responses from a Google Form and review them in a table. The workflow covers listing forms when the form ID is unknown, checking form details, and fetching the submitted responses.

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• Reviewing survey responses in a table
• Checking a form when its ID is unknown
• Reviewing form details alongside submitted responses

Test whether API users can read or change fields beyond their permissions. Examine responses for sensitive data, inject extra request fields to check unauthorized updates, and use explicit lists of allowed fields to guide fixes.

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• Check API responses for excessive sensitive data
• Test whether added request fields allow unauthorized updates
• Compare field access across user privilege levels

Create and edit Google Forms, inspect existing forms, and read survey responses through an agent. The skill connects answers to their questions and retrieves every response when a complete set is requested.

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• Create a feedback survey
• Update an existing form's description
• Read survey responses alongside their questions

Manage WireMock from the command line to create mock HTTP responses, inspect and count received requests, change scenario states, and record real backend traffic. These operations support integration tests with controlled responses.

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• Create mock API responses for integration tests
• Check request counts and unmatched requests
• Switch states in a multi-step test scenario

Generate templated responses for common legal inquiries with escalation detection. Use when drafting legal responses.

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Design and review REST APIs with consistent resource names, HTTP status codes, error responses, and pagination, which splits lists into smaller results. It also guides filtering, authentication, request limits, and versioning for public or internal APIs.

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• Designing URLs and responses for a new API
• Reviewing an existing API specification
• Choosing pagination and filtering methods

Design and review REST APIs with consistent URLs, HTTP status codes, error responses, and pagination, which divides results into smaller batches. Covers authentication, access limits, and versioning to help define clear behavior for API users.

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• Designing endpoints for a new REST API
• Reviewing status codes and error responses
• Choosing pagination for list endpoints

Review Ant Design GitHub issues and prepare responses, labels, and closure recommendations. It distinguishes bugs from feature requests, checks bot answers, and presents a complete plan for approval before making changes.

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• Draft responses to unanswered issues
• Classify bugs and feature requests
• Review dosubot answers

Connect AI agents to OmniRoute for text and image generation, speech synthesis, transcription, and web search. Use OpenAI-compatible APIs and create embeddings, numerical representations of text, through documented requests.

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• Add text generation to an AI agent
• Generate or edit images from instructions
• Turn text into speech or transcribe audio

Investigate crashes, hangs, incorrect responses, and other failures by testing hypotheses against observed runtime behavior. Confirm the cause, verify the fix with a reproducing test, check the real workflow, and remove temporary debugging artifacts.

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• Investigating crashes, hangs, or incorrect responses
• Tracing intermittent failures or asynchronous behavior
• Analyzing binary behavior without source code

Send prompts to Novita AI models such as DeepSeek and GLM from the command line. Retrieve answers as readable text or structured JSON, stream responses as they arrive, and check available models and API connectivity.

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• Send questions to DeepSeek or GLM
• Display responses as they arrive
• Retrieve AI responses as JSON

Draft, review, or revise point-by-point peer review responses, revision cover letters, and marked manuscripts. The skill links claimed changes to manuscript locations, flags missing author input, and checks consistency across response letters and revised submission files.

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• Draft point-by-point responses to reviewer comments
• Review an existing response for omissions and wording
• Prepare a revision cover letter

Design criteria for using an LLM to judge AI responses through scoring or comparisons between two answers. Includes checks for order and length bias, plus validation against human judgments to assess evaluation reliability.

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• Build an automated evaluation pipeline for AI responses
• Compare responses after changing a prompt or model
• Define shared scoring criteria for reviewers

Build persistent agents on Azure AI Foundry with the Microsoft Agent Framework Python SDK. Connect functions, search, and MCP tools, preserve conversation context, stream responses, and return data in a defined structure.

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• Building an agent that preserves conversation context
• Connecting Python functions and hosted search tools
• Displaying responses as they arrive

Structure Python code to release files and database connections reliably, including when errors occur. Covers context managers, which handle setup and cleanup, asynchronous resources, nested cleanup, and streaming responses that retain accumulated state.

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• Releasing database connections when errors occur
• Cleaning up files and temporary files
• Creating asynchronous context managers

Build applications with GitHub Copilot SDK using Python, TypeScript, Go, or .NET. Add custom tools, display responses as they arrive, preserve conversations across restarts, and connect external tools through MCP, a protocol for connecting agents to tools.

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• Embed an AI assistant in an application
• Add custom tools for an agent to call
• Display generated responses as they arrive

Add checks to LLM prompts and responses using Llama Guard 3, NeMo Guardrails, and LLM Guard. Configure content screening, conversation boundaries, and sensitive-data filtering, then measure blocking and false-positive rates with labeled test prompts.

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• Adding runtime safety checks to LLM, RAG, or agent apps
• Screening prompts for injection and jailbreak attempts
• Filtering sensitive or toxic model responses

Turn interview notes, survey responses, and customer feedback into findings supported by evidence. Group recurring themes, assess frequency and impact, and produce prioritized recommendations to guide product improvements and future research.

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• Finding shared issues across user interviews
• Organizing themes in open-ended survey responses
• Prioritizing improvements from support tickets

Extract fields, filter records, and reshape JSON from API responses, configuration files, or logs using Crush’s built-in jq. Get help writing and debugging transformations, constructing new JSON, and formatting output for other commands.

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• Extract selected fields from API responses
• Filter JSON arrays by conditions
• Reshape configuration data or construct JSON

Prepare medical device regulatory strategies and submission documents for FDA, EU, and other markets. Compare application routes, organize technical and clinical evidence, draft responses to regulator questions, and track submission schedules.

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• Comparing FDA application routes for a new medical device
• Organizing technical documentation for EU MDR
• Drafting responses to FDA or Notified Body questions

Review proposal responses for missing requirements, compare competing products, and plan proof-of-concept trials that test customer needs. Supports technical sales work from requirement discovery and demo preparation through evaluation scorecards and technical proposals.

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• Checking proposal responses for missing requirements
• Comparing product features against competitors
• Preparing a demo around customer priorities

Guides developers in handling API failures consistently from backend responses to frontend messages. It covers ordinary and streaming requests, translated error codes, retry and authentication handling, request identifiers, and removing credentials from server logs.

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• Adding an API endpoint with consistent error responses
• Displaying errors during streaming responses
• Adding error codes and translated messages

Use this skill whenever the user asks to generate, edit, inpaint, restyle, or create bitmap images through OpenAI's Responses API image_generation tool from Codex. This skill calls the Responses API, saves generated base64 image results to files, uses no npm or pip dependencies, works on Linux/macOS/Windows with either Node.js 18+ or Python 3, and reuses Codex's configured API base URL, model, and key instead of asking the user for credentials.

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