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The extension maintains conversation history within the session, allows editing and resending previous prompts, and automatically handles response continuation when API responses are truncated, combining fragmented outputs into coherent answers without user intervention.","intents":["Ask ChatGPT questions about code patterns without leaving the editor","Get real-time explanations of unfamiliar code syntax or libraries","Iterate on prompts by editing previous messages and resending them","Maintain context of a multi-turn conversation within a single project session"],"best_for":["Solo developers seeking ad-hoc coding advice without context switching","Teams prototyping with ChatGPT before committing to dedicated AI tools","Developers who prefer chat-based interaction over inline code completion"],"limitations":["No project-wide context awareness — only current file content accessible, not codebase structure or dependencies","Conversation history is session-scoped and not persisted across VS Code restarts unless manually exported","Streaming responses may block UI interaction during long-running API calls","No support for multi-file context or cross-file refactoring suggestions","Automatic response continuation adds latency and may produce incoherent output if API fragmentation occurs unexpectedly"],"requires":["VS Code (minimum version unknown, likely 1.40+)","Active OpenAI API key with available token quota","Network connectivity to OpenAI's API endpoints","JavaScript/TypeScript runtime (Node.js, bundled with VS Code)"],"input_types":["natural language text prompts","code snippets (via copy-paste into sidebar)","current file content (implicit context)"],"output_types":["streaming text responses","code suggestions (as text, not directly insertable)","markdown-formatted conversation history (export only)"],"categories":["text-generation-language","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-gencay-vscode-chatgpt__cap_1","uri":"capability://code.generation.editing.one.click.code.generation.and.file.creation","name":"one-click code generation and file creation","description":"Enables users to generate new files or code blocks directly from AI suggestions via a single-click action in the sidebar. The extension parses AI-generated code responses and provides a clickable interface to create files in the project workspace or insert code into the current editor, bypassing manual copy-paste workflows.","intents":["Generate boilerplate code (e.g., React components, API handlers) and immediately create files","Create multiple related files from a single AI prompt without manual file creation","Insert generated code directly into the current editor without copy-paste friction"],"best_for":["Developers rapidly prototyping new features or scaffolding projects","Teams using ChatGPT for code generation who want to minimize manual file operations"],"limitations":["No syntax validation or linting before file creation — generated code may contain errors","File creation location is inferred or requires manual selection; no project-aware path suggestions","Cannot modify existing files intelligently — only creates new files or overwrites via explicit user action","No rollback mechanism if generated code is incorrect or incomplete"],"requires":["VS Code with write permissions to the workspace directory","Active OpenAI API key","File system access (standard for VS Code extensions)"],"input_types":["AI-generated code text from sidebar responses"],"output_types":["new files created in workspace","code inserted into active editor"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-gencay-vscode-chatgpt__cap_2","uri":"capability://code.generation.editing.inline.code.fixing.and.modification","name":"inline code fixing and modification","description":"Allows users to select code in the editor, send it to ChatGPT with a fix/modify request, and receive suggestions that can be applied back to the editor. The extension integrates with VS Code's selection API to capture highlighted code, passes it as context to the AI, and provides mechanisms to replace or insert the modified code directly into the file.","intents":["Fix bugs in selected code by asking ChatGPT for corrections","Refactor code snippets for readability or performance","Convert code between languages or frameworks (e.g., JavaScript to TypeScript)","Add error handling or validation to existing code blocks"],"best_for":["Developers debugging code without leaving the editor","Teams using ChatGPT for code review and refactoring suggestions","Developers learning new languages or frameworks by asking for code translations"],"limitations":["Only works on selected code; no automatic detection of problematic code patterns","No semantic understanding of the codebase — suggestions may conflict with project conventions or dependencies","Requires manual prompt composition (e.g., 'fix this bug') — no pre-built fix templates","No diff preview before applying changes — users must manually review suggestions","Cannot handle multi-file fixes or cross-file dependencies"],"requires":["VS Code with active editor","Code selection in the editor","OpenAI API key with available quota"],"input_types":["selected code text from editor","natural language fix/modify request"],"output_types":["modified code suggestions (as text)","code inserted/replaced in editor"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-gencay-vscode-chatgpt__cap_3","uri":"capability://tool.use.integration.configurable.model.selection.with.openai.api","name":"configurable model selection with openai api","description":"Allows users to select between multiple OpenAI models (GPT-4, GPT-3.5, GPT-3, Codex) via extension settings, with all requests routed directly to OpenAI's API using a user-provided API key. The extension abstracts model selection into a configuration option, enabling users to switch models without code changes and manage API costs by choosing appropriate model tiers.","intents":["Use GPT-4 for complex reasoning tasks while using GPT-3.5 for faster, cheaper responses","Experiment with Codex for code-specific tasks vs general-purpose models","Control API costs by selecting lower-cost models for routine tasks"],"best_for":["Developers managing OpenAI API costs across multiple use cases","Teams experimenting with different model capabilities for code generation","Users with access to GPT-4 API who want to leverage it for complex tasks"],"limitations":["Model selection mechanism not documented — likely requires manual configuration file editing or settings UI","No automatic model selection based on task complexity or cost optimization","All models require separate API quota and billing — no built-in cost estimation","Codex is deprecated by OpenAI (as of 2023) — may not be available for new API keys","No fallback mechanism if selected model is unavailable or rate-limited"],"requires":["OpenAI API key with access to selected models","VS Code settings configuration (likely via settings.json or UI)","Active OpenAI API account with billing enabled"],"input_types":["model selection configuration"],"output_types":["API requests routed to selected model","responses from chosen model"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-gencay-vscode-chatgpt__cap_4","uri":"capability://automation.workflow.conversation.history.export.to.markdown","name":"conversation history export to markdown","description":"Captures the entire conversation history from a session and exports it to a markdown file, preserving prompts, responses, and formatting. The export includes timestamps or conversation order, enabling users to archive discussions, share them with team members, or reference them later outside the IDE.","intents":["Archive coding discussions for future reference or documentation","Share ChatGPT conversations with team members for code review or learning","Create documentation or tutorials from AI-generated code and explanations","Maintain a searchable log of AI-assisted development decisions"],"best_for":["Teams documenting AI-assisted development processes","Developers creating internal knowledge bases from ChatGPT interactions","Educators using ChatGPT to generate course materials or examples"],"limitations":["Export is manual — no automatic archival or scheduled exports","Markdown format may not preserve code syntax highlighting or special formatting","No metadata about API costs, model used, or response latency included in export","Conversation history is lost on VS Code restart unless exported — no persistent storage","No search or filtering within exported conversations — users must rely on external tools"],"requires":["Active conversation in the sidebar","Write permissions to the workspace or file system","Manual trigger to export (keyboard shortcut or menu action)"],"input_types":["conversation history from sidebar session"],"output_types":["markdown file (.md) containing conversation transcript"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-gencay-vscode-chatgpt__cap_5","uri":"capability://text.generation.language.prompt.prefix.customization","name":"prompt prefix customization","description":"Enables users to define custom prompt prefixes that are automatically prepended to user queries before sending to the API. This allows users to establish consistent context, tone, or instructions (e.g., 'You are a TypeScript expert') without repeating them in every prompt, reducing prompt engineering overhead and improving response consistency.","intents":["Establish a consistent persona or expertise level for ChatGPT responses (e.g., 'You are a senior backend engineer')","Automatically include project-specific context or coding standards in every prompt","Reduce prompt length by reusing common instructions across multiple queries"],"best_for":["Teams with consistent coding standards who want ChatGPT to follow them automatically","Developers seeking to optimize prompt engineering by defining reusable prefixes","Projects requiring specific tone or expertise level in AI responses"],"limitations":["Prefix customization mechanism not documented — implementation details unknown","No validation that prefixes are effective or produce desired results","Prefixes are static — no dynamic context injection based on file type or project structure","No built-in library of common prefixes — users must create their own","Prefixes increase token consumption for every request, raising API costs"],"requires":["VS Code extension settings configuration","Manual definition of custom prefixes (likely in settings.json or UI)"],"input_types":["custom prefix text (e.g., 'You are a TypeScript expert')"],"output_types":["modified prompts sent to OpenAI API with prefix prepended"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-gencay-vscode-chatgpt__cap_6","uri":"capability://text.generation.language.streaming.response.handling.with.token.aware.interruption","name":"streaming response handling with token-aware interruption","description":"Streams responses from OpenAI's API in real-time to the sidebar, displaying partial results as they arrive. Users can interrupt streaming at any time to stop token consumption, and the extension provides a 'stop response' action to halt further API calls and preserve remaining token quota.","intents":["View ChatGPT responses in real-time without waiting for full completion","Stop long-running responses early to save API tokens and costs","Receive immediate feedback on prompt quality before full response generation"],"best_for":["Developers managing tight OpenAI API budgets who need fine-grained cost control","Users with slow network connections who benefit from progressive response display","Teams iterating rapidly on prompts and wanting quick feedback"],"limitations":["Streaming may block UI interaction during response generation — no async rendering documented","Partial responses may be incomplete or incoherent if interrupted mid-sentence","No indication of estimated tokens remaining or cost per response","Stop action is manual — no automatic timeout or cost-based interruption","Streaming latency depends on network conditions and OpenAI API performance"],"requires":["Network connectivity to OpenAI's streaming API endpoints","OpenAI API key with streaming support enabled"],"input_types":["user prompt"],"output_types":["streamed text responses displayed progressively in sidebar"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-gencay-vscode-chatgpt__cap_7","uri":"capability://text.generation.language.editable.prompt.history.with.resend.capability","name":"editable prompt history with resend capability","description":"Maintains a history of all prompts sent during a session and allows users to select, edit, and resend previous prompts without retyping them. This enables iterative refinement of queries, A/B testing different prompt variations, and quick re-execution of similar requests with minor modifications.","intents":["Refine a prompt that produced suboptimal results by editing and resending it","Test multiple variations of a prompt to find the most effective wording","Quickly repeat a successful prompt with minor modifications for similar tasks"],"best_for":["Developers iterating on prompt engineering to improve response quality","Teams experimenting with ChatGPT to understand which prompts work best","Users seeking to reduce repetitive typing for similar queries"],"limitations":["Prompt history is session-scoped — lost on VS Code restart unless exported","No version control or comparison between prompt variations","Editing interface not documented — likely requires manual text editing in sidebar","No tagging or organization of prompts — all history is flat","Resending edited prompts incurs full API costs again — no caching or deduplication"],"requires":["Active conversation in sidebar","Manual selection and editing of previous prompts"],"input_types":["edited prompt text from history"],"output_types":["new API request with edited prompt","response from modified query"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":45,"verified":false,"data_access_risk":"high","permissions":["VS Code (minimum version unknown, likely 1.40+)","Active OpenAI API key with available token quota","Network connectivity to OpenAI's API endpoints","JavaScript/TypeScript runtime (Node.js, bundled with VS Code)","VS Code with write permissions to the workspace directory","Active OpenAI API key","File system access (standard for VS Code extensions)","VS Code with active editor","Code selection in the editor","OpenAI API key with available quota"],"failure_modes":["No project-wide context awareness — only current file content accessible, not codebase structure or dependencies","Conversation history is session-scoped and not persisted across VS Code restarts unless manually exported","Streaming responses may block UI interaction during long-running API calls","No support for multi-file context or cross-file refactoring suggestions","Automatic response continuation adds latency and may produce incoherent output if API fragmentation occurs unexpectedly","No syntax validation or linting before file creation — generated code may contain errors","File creation location is inferred or requires manual selection; no project-aware path suggestions","Cannot modify existing files intelligently — only creates new files or overwrites via explicit user action","No rollback mechanism if generated code is incorrect or incomplete","Only works on selected code; no automatic detection of problematic code patterns","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.74,"quality":0.26,"ecosystem":0.35000000000000003,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:34.803Z","last_scraped_at":"2026-05-03T15:20:29.937Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=chatgpt-deprecated","compare_url":"https://unfragile.ai/compare?artifact=chatgpt-deprecated"}},"signature":"AeErBqTj3njkwZCW9mqyAJHj/580YYOb4vezn0JA4H5tecnYdKUdcRjHT08c3+9seGv86zb1/FdJX160HBYcDw==","signedAt":"2026-06-22T22:26:14.269Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/chatgpt-deprecated","artifact":"https://unfragile.ai/chatgpt-deprecated","verify":"https://unfragile.ai/api/v1/verify?slug=chatgpt-deprecated","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}