{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-ikasann-self-vscode-chat-gpt","slug":"vscode-chat-gpt","name":"vscode-chat-gpt","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=ikasann-self.vscode-chat-gpt","page_url":"https://unfragile.ai/vscode-chat-gpt","categories":["code-editors"],"tags":["ai","chat","chatgpt","gpt","keybindings","openai"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-ikasann-self-vscode-chat-gpt__cap_0","uri":"capability://text.generation.language.in.editor.conversational.chat.with.streaming.responses","name":"in-editor conversational chat with streaming responses","description":"Provides a dedicated sidebar chat panel that maintains a conversational interface with OpenAI's gpt-3.5-turbo model via streaming API calls. The extension sends user queries directly to OpenAI's chat completions endpoint with configurable temperature (default 0.7) and renders responses incrementally as they arrive, reducing perceived latency. Chat history is maintained in-session within the sidebar panel, with the last 10 queries persisted in VSCode extension state for quick reference.","intents":["I want to ask ChatGPT questions without leaving my editor","I need real-time AI assistance while coding with streaming responses","I want to review my recent chat queries from a history panel"],"best_for":["solo developers seeking lightweight AI assistance without context switching","teams using VSCode as their primary editor who want integrated ChatGPT access"],"limitations":["Query history limited to last 10 queries only — no persistent long-term conversation archive","No multi-turn context awareness beyond current session — each new VSCode session starts fresh","Streaming responses enabled by default with no toggle option documented","No custom system prompts or role-based instruction configuration available"],"requires":["VSCode 1.77.0 or greater","Valid OpenAI API key with gpt-3.5-turbo access","Active internet connection to OpenAI API","Sufficient OpenAI API credits"],"input_types":["text (natural language queries)"],"output_types":["text (streamed chat responses)"],"categories":["text-generation-language","editor-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ikasann-self-vscode-chat-gpt__cap_1","uri":"capability://code.generation.editing.context.aware.code.comment.generation.from.selection","name":"context-aware code comment generation from selection","description":"Analyzes selected code in the editor and generates inline comments using OpenAI's text-davinci-003 model with fixed parameters (temperature 0.0, top_p 0.1, max_tokens 2048). The extension captures the selected text via VSCode's editor API, sends it to the completions endpoint with an implicit 'add comments' prompt, and inserts the generated comments back into the editor at the selection location. Works across all programming languages supported by VSCode.","intents":["I want to automatically generate comments for complex code sections","I need to document legacy code quickly without manual effort","I want to improve code readability by adding explanatory comments"],"best_for":["developers maintaining legacy codebases with sparse documentation","teams enforcing code comment standards across projects","solo developers seeking to reduce manual documentation overhead"],"limitations":["Fixed temperature 0.0 and top_p 0.1 parameters — no user control over comment style variation","Max output of 2048 tokens may truncate comments for very large code selections","No language-specific comment syntax awareness — relies on model's training data","Comments inserted at selection location without intelligent placement (e.g., above function definition)"],"requires":["VSCode 1.77.0 or greater","Valid OpenAI API key with text-davinci-003 access","Active code selection in editor","Active internet connection to OpenAI API"],"input_types":["code (selected text from editor)"],"output_types":["text (generated comments)"],"categories":["code-generation-editing","documentation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ikasann-self-vscode-chat-gpt__cap_10","uri":"capability://memory.knowledge.query.history.persistence.and.retrieval","name":"query history persistence and retrieval","description":"Maintains a history of the last 10 user queries in a dedicated 'Query History' view within the sidebar panel (added in v1.0.0). The extension stores queries in VSCode's extension state API, which persists data across editor sessions. Users can click on a previous query to re-execute it or view the original prompt. The history is limited to 10 items to prevent excessive state bloat, and older queries are automatically discarded when the limit is exceeded.","intents":["I want to quickly re-run previous chat queries without retyping","I need to review my recent interactions with ChatGPT","I want to build on previous queries without starting from scratch"],"best_for":["developers with repetitive query patterns","teams conducting iterative problem-solving sessions","users seeking to reduce typing overhead"],"limitations":["History limited to last 10 queries only — no long-term conversation archive","No search or filtering within query history","History is per-workspace — not synchronized across VSCode instances","No export or backup functionality for query history","Clicking a history item re-executes the query but doesn't restore the original response"],"requires":["VSCode 1.77.0 or greater","Extension installed and enabled","Valid OpenAI API key"],"input_types":[],"output_types":["text (previous query strings)"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ikasann-self-vscode-chat-gpt__cap_11","uri":"capability://text.generation.language.streaming.response.rendering.with.incremental.display","name":"streaming response rendering with incremental display","description":"Streams responses from OpenAI's chat completions API and renders them incrementally in the sidebar chat panel as tokens arrive, rather than waiting for the complete response. The extension uses OpenAI's streaming API (stream=true by default) and updates the UI with each token chunk, creating a real-time typing effect. This reduces perceived latency and allows users to start reading responses before generation completes. Streaming is enabled by default with no documented toggle option.","intents":["I want to see responses appear in real-time rather than waiting for completion","I need faster perceived response time for interactive chat","I want to start reading responses while the model is still generating"],"best_for":["developers seeking responsive, interactive chat experience","users with slower internet connections who benefit from incremental display","teams valuing perceived performance over raw latency"],"limitations":["Streaming enabled by default with no user toggle option documented","Cannot cancel in-progress streaming responses (implied limitation)","Streaming may cause UI jank or performance issues on slower machines","No buffering or batching of tokens — every token triggers a UI update"],"requires":["VSCode 1.77.0 or greater","Valid OpenAI API key with streaming support","Active internet connection to OpenAI API"],"input_types":["text (user query)"],"output_types":["text (streamed response tokens)"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ikasann-self-vscode-chat-gpt__cap_2","uri":"capability://code.generation.editing.language.specific.documentation.generation.for.code","name":"language-specific documentation generation for code","description":"Generates docstrings and API documentation for selected code using OpenAI's text-davinci-003 model, but restricts this capability to JavaScript, TypeScript, Java, and C# due to model training specificity. The extension detects the file extension or language mode, validates against the supported language list, and only enables the 'Add Documentations' context menu command if the current file matches. Generated documentation is inserted at the selection location with fixed parameters (temperature 0.0, max_tokens 2048).","intents":["I want to generate JSDoc/JavaDoc documentation for functions automatically","I need to create API documentation for public methods in TypeScript","I want to document C# classes and methods following language conventions"],"best_for":["teams building JavaScript/TypeScript libraries requiring JSDoc coverage","Java developers maintaining public APIs with Javadoc requirements","C# teams enforcing XML documentation standards"],"limitations":["Language support restricted to JavaScript, TypeScript, Java, C# only — no Python, Go, Rust, etc.","No customization of documentation format or style (e.g., JSDoc vs TSDoc variants)","Fixed temperature 0.0 prevents stylistic variation in generated documentation","No validation that generated documentation matches actual function signature or behavior"],"requires":["VSCode 1.77.0 or greater","File language mode set to JavaScript, TypeScript, Java, or C#","Valid OpenAI API key with text-davinci-003 access","Active code selection in editor","Active internet connection to OpenAI API"],"input_types":["code (selected function/class in supported language)"],"output_types":["text (language-specific documentation)"],"categories":["code-generation-editing","documentation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ikasann-self-vscode-chat-gpt__cap_3","uri":"capability://code.generation.editing.code.refactoring.suggestions.with.language.constraints","name":"code refactoring suggestions with language constraints","description":"Analyzes selected code and generates refactoring suggestions using text-davinci-003 with deterministic parameters (temperature 0.0, top_p 0.1, max_tokens 2048). Like documentation generation, this capability is restricted to JavaScript, TypeScript, Java, and C# to ensure model quality. The extension validates the file language before enabling the 'Refactor' context menu command, sends the selected code to the completions endpoint with an implicit refactoring prompt, and returns suggestions as text output without automatic code replacement.","intents":["I want AI-suggested refactoring improvements for selected code","I need to identify code smells and improvement opportunities quickly","I want to modernize legacy code patterns to current best practices"],"best_for":["developers seeking code quality improvements without external linting tools","teams conducting code reviews and looking for automated improvement suggestions","solo developers learning refactoring patterns from AI suggestions"],"limitations":["Language support restricted to JavaScript, TypeScript, Java, C# only","Suggestions are text-based only — no automatic code replacement or diff generation","No validation that suggested refactorings maintain semantic equivalence","Fixed temperature 0.0 produces deterministic but potentially repetitive suggestions","No context beyond selected code — cannot suggest refactorings requiring multi-file changes"],"requires":["VSCode 1.77.0 or greater","File language mode set to JavaScript, TypeScript, Java, or C#","Valid OpenAI API key with text-davinci-003 access","Active code selection in editor","Active internet connection to OpenAI API"],"input_types":["code (selected code snippet in supported language)"],"output_types":["text (refactoring suggestions)"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ikasann-self-vscode-chat-gpt__cap_4","uri":"capability://image.visual.dall.e.image.generation.from.text.prompts","name":"dall-e image generation from text prompts","description":"Generates images from natural language text prompts using OpenAI's DALL-E API integrated into a dedicated 'Image Generation' tab in the sidebar panel (added in v1.2.0). The extension sends user prompts to the DALL-E endpoint with fixed parameters (size 1024x1024, n=1 for single image per request) and displays the generated image URL in the sidebar. Users can view, copy, or download generated images directly from the extension UI.","intents":["I want to generate placeholder images or mockups without leaving VSCode","I need to create visual assets for documentation or presentations quickly","I want to experiment with image generation while coding"],"best_for":["developers building documentation with visual examples","teams prototyping UI designs and needing quick image generation","solo developers creating marketing materials or blog posts"],"limitations":["Fixed output size of 1024x1024 pixels only — no customization of dimensions","Single image per request (n=1 fixed) — cannot generate multiple variations in one call","Image editing and variation features planned but not implemented (roadmap indicates future support)","No batch processing or bulk image generation","Generated images are temporary URLs — no persistent storage or history in extension"],"requires":["VSCode 1.77.0 or greater","Valid OpenAI API key with DALL-E access","Active internet connection to OpenAI API","Sufficient OpenAI API credits (image generation is expensive)"],"input_types":["text (natural language image description)"],"output_types":["image (DALL-E generated image URL)"],"categories":["image-visual","content-creation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ikasann-self-vscode-chat-gpt__cap_5","uri":"capability://automation.workflow.activity.bar.quick.access.launcher","name":"activity bar quick-access launcher","description":"Adds a clickable icon to VSCode's Activity Bar (left sidebar) that toggles the extension's main chat and image generation panel on/off. This provides a single-click entry point to the extension's functionality without requiring command palette invocation or keyboard shortcuts. The Activity Bar icon was added in v0.0.2 and serves as the primary UI affordance for launching the extension's sidebar panel.","intents":["I want quick one-click access to the ChatGPT panel from anywhere in VSCode","I need a visible indicator that the extension is available and active","I want to toggle the chat panel without using keyboard shortcuts or commands"],"best_for":["developers preferring mouse-based UI navigation over keyboard shortcuts","teams with varying keyboard shortcut familiarity","users who want the extension always visible in the UI"],"limitations":["Activity Bar icon is always visible — no option to hide or customize icon appearance","Single icon toggles entire panel — no granular control over which tabs (chat vs image) open","No customization of icon position or behavior"],"requires":["VSCode 1.77.0 or greater","Extension installed and enabled"],"input_types":[],"output_types":["UI state (sidebar panel visibility toggle)"],"categories":["automation-workflow","editor-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ikasann-self-vscode-chat-gpt__cap_6","uri":"capability://safety.moderation.api.key.secure.storage.in.vscode.workspace.settings","name":"api key secure storage in vscode workspace settings","description":"Stores the OpenAI API key securely using VSCode's built-in secrets storage mechanism (implied by 'safely stored' documentation). The extension prompts users to enter their API key via the Settings panel (added in v1.2.0) and persists it in the workspace configuration. The key is retrieved on each API call and used to authenticate requests to OpenAI endpoints. VSCode's secrets API encrypts sensitive data at rest and prevents exposure in version control or plain-text configuration files.","intents":["I want to securely store my OpenAI API key without exposing it in config files","I need to configure the extension with my API credentials on first use","I want to update or rotate my API key without reinstalling the extension"],"best_for":["individual developers managing personal API keys","teams using VSCode with shared workspaces requiring per-user API key configuration"],"limitations":["API key storage mechanism not explicitly documented — claimed 'safe' but implementation details unknown","No key rotation or expiration management built into extension","No multi-account support — only one API key per VSCode workspace","Key is stored per workspace, not globally — requires reconfiguration for each workspace"],"requires":["VSCode 1.77.0 or greater","Valid OpenAI API key","Access to VSCode Settings panel"],"input_types":["text (API key string)"],"output_types":["secure storage (encrypted workspace configuration)"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ikasann-self-vscode-chat-gpt__cap_7","uri":"capability://tool.use.integration.configurable.chat.temperature.parameter","name":"configurable chat temperature parameter","description":"Exposes the temperature parameter for chat completions (gpt-3.5-turbo) with a default value of 0.7, allowing users to adjust response creativity and determinism via the Settings panel (added in v1.2.0). Temperature controls the randomness of token selection: lower values (closer to 0.0) produce more deterministic, focused responses, while higher values (up to 2.0) increase diversity and creativity. The setting is persisted in VSCode workspace configuration and applied to all subsequent chat API calls.","intents":["I want more creative and diverse chat responses for brainstorming","I need deterministic, focused responses for technical questions","I want to fine-tune the balance between consistency and variety"],"best_for":["developers experimenting with different response styles","teams using the extension for both creative and technical tasks","users seeking to optimize response quality for their use case"],"limitations":["Temperature parameter only configurable for chat (gpt-3.5-turbo), not for text completions (fixed at 0.0)","No documentation of recommended temperature ranges for specific tasks","No per-query temperature override — setting applies globally to all chat requests","Default value of 0.7 may not be optimal for all use cases"],"requires":["VSCode 1.77.0 or greater","Access to Settings panel","Valid OpenAI API key"],"input_types":["numeric (temperature value 0.0-2.0)"],"output_types":["configuration (persisted workspace setting)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ikasann-self-vscode-chat-gpt__cap_8","uri":"capability://image.visual.image.generation.size.customization","name":"image generation size customization","description":"Allows users to configure the output size for DALL-E image generation via the Settings panel (added in v1.2.0), with a default of 1024x1024 pixels. The setting is persisted in workspace configuration and applied to all subsequent image generation requests. Users can select from DALL-E's supported sizes (typically 256x256, 512x512, 1024x1024) to balance image quality, generation time, and API cost.","intents":["I want to generate smaller images for faster generation and lower cost","I need high-resolution images for documentation or marketing materials","I want to optimize image size based on my use case and budget"],"best_for":["developers managing API costs and generation time","teams with varying image quality requirements","users experimenting with different image resolutions"],"limitations":["Only size parameter is configurable — no control over image count (n=1 fixed) or other DALL-E parameters","No documentation of supported size options or cost differences","Setting applies globally to all image generation requests — no per-request size override","Smaller sizes may produce lower-quality images unsuitable for professional use"],"requires":["VSCode 1.77.0 or greater","Access to Settings panel","Valid OpenAI API key with DALL-E access"],"input_types":["numeric (image size: 256, 512, or 1024)"],"output_types":["configuration (persisted workspace setting)"],"categories":["image-visual","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ikasann-self-vscode-chat-gpt__cap_9","uri":"capability://code.generation.editing.context.menu.command.integration.with.keyboard.shortcuts","name":"context menu command integration with keyboard shortcuts","description":"Integrates three code-focused commands (Add Comments, Add Documentations, Add Refactoring) into VSCode's right-click context menu with platform-specific keyboard shortcuts. Windows/Linux use Ctrl+Alt+[C/D/R], while macOS uses Shift+Cmd+[C/D/R]. The extension registers these commands via VSCode's command API and binds them to keybindings in the extension's package.json. Commands are conditionally enabled based on file language (documentation and refactoring restricted to JS/TS/Java/C#) and only appear in the context menu when a code selection exists.","intents":["I want quick keyboard access to code generation features without menu navigation","I need context menu commands that respect my platform's keyboard conventions","I want language-aware command availability that prevents unsupported operations"],"best_for":["developers preferring keyboard shortcuts over mouse navigation","teams with platform-specific workflows (Windows, macOS, Linux)","users seeking rapid code annotation without context switching"],"limitations":["Keybindings are fixed and not documented as customizable — users cannot rebind shortcuts","Platform-specific shortcuts may conflict with other VSCode extensions or user keybindings","Commands only available when code is selected — no fallback for empty selection","No command palette aliases documented for discoverability"],"requires":["VSCode 1.77.0 or greater","Active code selection in editor","Valid OpenAI API key"],"input_types":["code (selected text)"],"output_types":["text (generated comments, documentation, or suggestions)"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":46,"verified":false,"data_access_risk":"moderate","permissions":["VSCode 1.77.0 or greater","Valid OpenAI API key with gpt-3.5-turbo access","Active internet connection to OpenAI API","Sufficient OpenAI API credits","Valid OpenAI API key with text-davinci-003 access","Active code selection in editor","Extension installed and enabled","Valid OpenAI API key","Valid OpenAI API key with streaming support","File language mode set to JavaScript, TypeScript, Java, or C#"],"failure_modes":["Query history limited to last 10 queries only — no persistent long-term conversation archive","No multi-turn context awareness beyond current session — each new VSCode session starts fresh","Streaming responses enabled by default with no toggle option documented","No custom system prompts or role-based instruction configuration available","Fixed temperature 0.0 and top_p 0.1 parameters — no user control over comment style variation","Max output of 2048 tokens may truncate comments for very large code selections","No language-specific comment syntax awareness — relies on model's training data","Comments inserted at selection location without intelligent placement (e.g., above function definition)","History limited to last 10 queries only — no long-term conversation archive","No search or filtering within query history","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.73,"quality":0.34,"ecosystem":0.33,"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":"2026-05-03T15:20:35.026Z","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=vscode-chat-gpt","compare_url":"https://unfragile.ai/compare?artifact=vscode-chat-gpt"}},"signature":"L1xKIUwkj9jDz8MwQ5/69qLXHTnljaxbg3LwBlGYJmTfuo9dTJgamYn3AEcMNXV0JZxIWIBqJCaxWiAPaCp3AA==","signedAt":"2026-06-22T10:41:53.921Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/vscode-chat-gpt","artifact":"https://unfragile.ai/vscode-chat-gpt","verify":"https://unfragile.ai/api/v1/verify?slug=vscode-chat-gpt","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"}}