{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-doublebot-doublebot","slug":"double-deepseek-r1-openai-o1-sonnet-and-more","name":"Double - DeepSeek R1, OpenAI o1, Sonnet, and more","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=doublebot.doublebot","page_url":"https://unfragile.ai/double-deepseek-r1-openai-o1-sonnet-and-more","categories":["code-editors"],"tags":["keybindings"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-doublebot-doublebot__cap_0","uri":"capability://code.generation.editing.real.time.inline.code.autocomplete.with.multi.cursor.support","name":"real-time inline code autocomplete with multi-cursor support","description":"Generates code suggestions as the user types in the editor, with support for multiple cursor positions and mid-line completions. The extension monitors keystroke events in real-time, sends the current file context and cursor position to a cloud-based AI model (OpenAI o1, DeepSeek R1, Claude Sonnet, or Llama variants), and streams back suggestions that appear inline without interrupting the editing flow. Suggestions are accepted via Tab key and automatically include relevant imports for functions, variables, and libraries based on the detected language and project context.","intents":["Get instant code suggestions while typing without breaking my editing rhythm","Automatically complete boilerplate code, imports, and common patterns","Handle multiple cursor positions simultaneously for batch edits","Generate mid-line completions for complex expressions or method chains"],"best_for":["Solo developers and small teams using VS Code as primary IDE","Developers working in Python, JavaScript, TypeScript, Go, Rust, and other supported languages","Teams that want model flexibility (switching between OpenAI, DeepSeek, Anthropic, Meta models)"],"limitations":["Real-time autocomplete adds network latency for each keystroke — no offline mode documented","Autocomplete trigger is always-on with no documented option to disable or manually trigger","Context awareness limited to current file; no cross-file codebase indexing mentioned","Import generation accuracy depends on model's understanding of project structure — may generate incorrect or redundant imports","Multi-cursor support claimed but implementation details and edge cases unknown"],"requires":["Visual Studio Code (minimum version unknown)","Active internet connection to cloud-hosted AI models","API credentials or authentication token for selected model provider (OpenAI, Anthropic, DeepSeek, or Meta)","File must be in a supported programming language"],"input_types":["source code (current file context)","cursor position(s)","keystroke event"],"output_types":["inline code suggestion string","import statements","completion metadata (confidence, alternatives)"],"categories":["code-generation-editing","editor-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-doublebot-doublebot__cap_1","uri":"capability://code.generation.editing.sidebar.chat.interface.for.code.generation.and.analysis","name":"sidebar chat interface for code generation and analysis","description":"Provides a persistent chat panel (accessed via Cmd+M / Ctrl+M) where developers can send free-form prompts to generate code, explain existing code, write tests, add documentation, or analyze code quality. The chat accepts the current file as context and allows explicit code selection via Cmd+Shift+M / Ctrl+Shift+M to focus AI analysis on specific code blocks. Responses are streamed back as formatted text with syntax highlighting for code blocks, enabling iterative refinement through follow-up questions.","intents":["Ask the AI to generate code for a specific feature or function","Get explanations of complex or unfamiliar code","Generate unit tests or integration tests for existing functions","Add docstrings, comments, or documentation automatically","Refactor code or suggest performance improvements through conversation"],"best_for":["Developers who prefer conversational AI interaction over inline suggestions","Teams doing code reviews and need quick explanations or refactoring suggestions","Developers learning new codebases and needing on-demand code analysis","Developers prototyping features and iterating quickly with AI feedback"],"limitations":["Chat context limited to explicitly selected code or current file — no automatic multi-file context or project-wide understanding documented","No persistent chat history across sessions mentioned — each new chat may start fresh","Model selection mechanism unknown — unclear if users can choose which model to use per query or if it's fixed per session","No integration with version control or git history for contextual code analysis","Response quality depends on prompt clarity and selected code context — no guardrails for ambiguous requests"],"requires":["Visual Studio Code with Double extension installed","Active internet connection","API credentials for selected AI model provider","At least one file open in the editor"],"input_types":["natural language prompt (text)","selected code block (optional)","current file context (implicit)"],"output_types":["formatted text response with syntax-highlighted code blocks","explanations, suggestions, or generated code"],"categories":["code-generation-editing","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-doublebot-doublebot__cap_2","uri":"capability://code.generation.editing.diff.style.review.of.ai.generated.code.suggestions","name":"diff-style review of ai-generated code suggestions","description":"Displays AI-generated code changes in a side-by-side or unified diff format, allowing developers to review additions, deletions, and modifications before accepting them. The extension highlights changes with color coding (additions in green, deletions in red) and provides accept/reject controls for each suggestion, enabling careful review of multi-line edits or refactoring suggestions before they are applied to the file.","intents":["Review AI-generated code changes before applying them to avoid introducing bugs","Understand exactly what the AI is proposing to change in my code","Accept or reject individual changes or entire suggestions","Compare original vs AI-suggested code side-by-side"],"best_for":["Developers who want to maintain code quality control and review AI suggestions carefully","Teams with code review processes that require visibility into all changes","Developers working on critical or production code where AI suggestions need validation"],"limitations":["Implementation details unknown — unclear if diff is shown for all AI suggestions or only for specific actions","No documented ability to edit suggestions before accepting them","Diff format and UI layout not specified — may not support all diff styles (unified, split, inline)","No integration with VS Code's built-in diff editor or merge conflict resolution tools mentioned"],"requires":["Visual Studio Code with Double extension","AI suggestion generated from chat or edit delegation feature"],"input_types":["original code (current file state)","AI-generated code suggestion"],"output_types":["diff visualization (side-by-side or unified format)","accept/reject decision"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-doublebot-doublebot__cap_3","uri":"capability://tool.use.integration.multi.model.ai.selection.and.switching","name":"multi-model ai selection and switching","description":"Allows developers to choose from 7+ AI models (OpenAI o1, GPT-4o, DeepSeek R1, Claude 3.5 Sonnet, Claude 3 Opus, Llama 3.1 405B/70B/8B) for both autocomplete and chat features. The extension abstracts away model-specific API differences and routing, enabling users to switch models without changing configuration or restarting the editor. Model selection mechanism (per-query, per-session, or global setting) is not documented, but the capability enables cost-quality trade-offs and experimentation with latest reasoning models.","intents":["Compare code quality and speed across different AI models without switching tools","Use cheaper models (Llama 8B) for simple completions and expensive models (o1) for complex reasoning","Experiment with latest models (DeepSeek R1, o1) as they become available","Switch models based on task complexity or time constraints"],"best_for":["Developers and teams evaluating multiple AI models for cost and quality","Teams with varying budgets per task (cheap models for boilerplate, expensive for complex logic)","Early adopters wanting to test latest reasoning models (o1, R1) immediately","Organizations with multi-vendor AI strategies"],"limitations":["Model selection UI and workflow unknown — unclear if users select per-query, per-session, or globally","API key management for multiple providers not documented — may require separate credentials for each model","No documented pricing comparison or cost tracking across models","Model availability and latency differences not documented — some models may be slower or less available","No automatic model selection based on task complexity or cost constraints"],"requires":["API keys or authentication tokens for at least one supported model provider","Active internet connection to model providers","VS Code with Double extension installed"],"input_types":["model selection (user choice or configuration)","code context and prompt"],"output_types":["AI response from selected model","model metadata (latency, cost estimate)"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-doublebot-doublebot__cap_4","uri":"capability://code.generation.editing.context.aware.code.completion.with.style.convention.detection","name":"context-aware code completion with style convention detection","description":"Analyzes the current file's coding style, naming conventions, indentation, and language-specific patterns to generate suggestions that match the developer's existing code style. The extension examines the file's syntax tree or token stream to infer conventions (camelCase vs snake_case, tabs vs spaces, comment style, import organization) and instructs the AI model to generate suggestions conforming to these patterns. This reduces the need for manual formatting or style corrections after accepting AI suggestions.","intents":["Get code suggestions that automatically match my project's style conventions","Avoid style mismatches between AI-generated code and existing codebase","Reduce manual formatting work after accepting AI suggestions","Maintain consistency across team codebases with different style preferences"],"best_for":["Teams with strict code style guidelines (enforced by linters or formatters)","Developers working in multiple projects with different style conventions","Large codebases where style consistency is critical for maintainability"],"limitations":["Style detection mechanism unknown — unclear if it uses AST parsing, regex, or heuristics","No documented support for custom style rules or .editorconfig / .prettierrc integration","Style detection accuracy depends on file size and consistency — may fail on mixed-style files","No feedback loop if AI generates style-mismatched code — no automatic correction mentioned","Limited to single-file context — cannot detect project-wide style conventions across multiple files"],"requires":["File with detectable coding style (at least 10-20 lines of code recommended)","Supported programming language with clear style conventions"],"input_types":["current file content and syntax","cursor position"],"output_types":["code suggestion matching detected style","style metadata (inferred conventions)"],"categories":["code-generation-editing","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-doublebot-doublebot__cap_5","uri":"capability://code.generation.editing.automatic.import.and.dependency.resolution","name":"automatic import and dependency resolution","description":"Detects when AI-generated code references external functions, classes, or libraries and automatically generates the necessary import statements. The extension analyzes the generated code's identifiers, matches them against the project's available dependencies (inferred from package.json, requirements.txt, or similar), and inserts import statements at the appropriate location in the file. This eliminates the manual step of adding imports after accepting AI suggestions.","intents":["Get complete, runnable code suggestions without manual import additions","Automatically resolve external library references in generated code","Avoid import errors and undefined reference warnings","Speed up code generation workflow by skipping manual import management"],"best_for":["Developers working with large dependency ecosystems (Python, JavaScript/Node.js, Go)","Teams that want to minimize import-related bugs and linting errors","Developers new to a codebase who may not know all available dependencies"],"limitations":["Dependency detection mechanism unknown — unclear if it parses package.json, requirements.txt, or uses other methods","No documented handling of namespace conflicts or ambiguous imports (e.g., multiple packages with same function name)","Import placement logic unknown — may not handle complex import organization (grouped imports, relative vs absolute paths)","Accuracy depends on project's dependency metadata being up-to-date and accessible","No support for dynamic imports or conditional imports mentioned","May generate redundant imports if the same import already exists elsewhere in the file"],"requires":["Project with dependency manifest file (package.json, requirements.txt, go.mod, Cargo.toml, etc.)","AI-generated code that references external identifiers"],"input_types":["generated code with external references","project dependency metadata"],"output_types":["import statements","modified code with imports inserted"],"categories":["code-generation-editing","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-doublebot-doublebot__cap_6","uri":"capability://code.generation.editing.edit.delegation.with.ai.powered.code.modification","name":"edit delegation with ai-powered code modification","description":"Allows developers to delegate code editing tasks to the AI, which generates and applies changes directly to the file. The mechanism is described as 'delegate your edits' but implementation details are not documented. Likely works by accepting a natural language instruction (via chat or command), generating modified code, and applying it to the selected code block or file. Changes are shown in diff format for review before being committed.","intents":["Ask the AI to refactor a function or code block without writing the changes myself","Delegate repetitive editing tasks (renaming, reformatting, adding error handling) to AI","Apply complex code transformations (e.g., converting callbacks to async/await) with a single command","Batch-edit multiple code sections with consistent changes"],"best_for":["Developers doing large refactoring tasks and wanting AI assistance","Teams modernizing legacy code (e.g., upgrading language versions, patterns)","Developers who want to delegate repetitive edits without manual coding"],"limitations":["Implementation mechanism completely undocumented — unclear how edits are triggered, scoped, or applied","Scope of edits unknown — unclear if limited to selected code, current file, or entire project","No documented rollback or undo mechanism if AI generates incorrect changes","Risk of unintended side effects if AI modifies code beyond the intended scope","No documented integration with version control for tracking AI-generated changes","Accuracy depends on clarity of edit instructions and AI's understanding of code intent"],"requires":["Code selection or file context","Natural language instruction describing the desired edit","AI model capable of code generation and transformation"],"input_types":["natural language instruction (text)","code to be edited (selected code or file)"],"output_types":["modified code","diff visualization for review"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-doublebot-doublebot__cap_7","uri":"capability://automation.workflow.keybinding.driven.context.passing.for.rapid.ai.interaction","name":"keybinding-driven context passing for rapid ai interaction","description":"Provides dedicated keybindings (Cmd+M / Ctrl+M for chat, Cmd+Shift+M / Ctrl+Shift+M for passing selected code) that enable developers to invoke AI features without using the mouse or navigating menus. Selected code is automatically passed as context to the chat interface, reducing the friction of copy-pasting code into prompts. This design pattern prioritizes keyboard-driven workflows common in developer tools.","intents":["Quickly open chat and ask about selected code without leaving the keyboard","Pass code context to AI with a single keybinding instead of copy-paste","Maintain focus and flow state by avoiding mouse interactions","Build muscle memory for AI interaction patterns"],"best_for":["Keyboard-centric developers and power users","Developers working in terminal-based or minimal-UI environments","Teams with strong keyboard-driven workflows (vim, Emacs users)"],"limitations":["Keybindings are fixed and not customizable (no mention of rebinding support)","Keybindings may conflict with other VS Code extensions or user preferences","Documentation mentions 'other keybindings' but does not enumerate them — full keybinding list unknown","No documented support for custom keybinding profiles or per-project keybinding overrides"],"requires":["VS Code with Double extension installed","Knowledge of keybindings (Cmd+M, Cmd+Shift+M, Tab, etc.)","Code selection for context passing (optional for Cmd+M)"],"input_types":["keybinding input","selected code (optional)"],"output_types":["chat interface opened","context passed to AI"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-doublebot-doublebot__cap_8","uri":"capability://tool.use.integration.freemium.pricing.model.with.cloud.hosted.inference","name":"freemium pricing model with cloud-hosted inference","description":"Offers free access to basic features (likely autocomplete and limited chat) with optional paid tiers for premium models or higher usage limits. The extension uses cloud-hosted AI models (OpenAI, Anthropic, DeepSeek, Meta) rather than local inference, meaning all processing happens on Double's servers or partner APIs. This architecture enables access to latest models without requiring local GPU resources, but introduces dependency on external services and potential latency.","intents":["Use AI coding assistant without upfront cost or hardware investment","Access latest models (o1, R1) without local GPU or infrastructure","Scale usage up or down based on needs with flexible pricing","Avoid managing API keys and billing for multiple AI providers"],"best_for":["Individual developers and small teams with limited budgets","Developers without local GPU resources or infrastructure","Teams wanting to avoid managing multiple API keys and billing accounts"],"limitations":["Pricing tiers and feature limits unknown — documentation does not specify what's free vs paid","Dependency on cloud services means no offline mode or local fallback","Latency introduced by network round-trips to cloud models — no local caching or optimization mentioned","Privacy concerns with sending code to cloud services — no documentation on data retention or privacy policies","Potential vendor lock-in if switching to local models or other providers later","No documented SLA or uptime guarantees for cloud services"],"requires":["Active internet connection","Double account (free or paid tier)","API credentials or authentication token (may be managed by Double backend)"],"input_types":["code context","user prompts"],"output_types":["AI suggestions and responses"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":42,"verified":false,"data_access_risk":"high","permissions":["Visual Studio Code (minimum version unknown)","Active internet connection to cloud-hosted AI models","API credentials or authentication token for selected model provider (OpenAI, Anthropic, DeepSeek, or Meta)","File must be in a supported programming language","Visual Studio Code with Double extension installed","Active internet connection","API credentials for selected AI model provider","At least one file open in the editor","Visual Studio Code with Double extension","AI suggestion generated from chat or edit delegation feature"],"failure_modes":["Real-time autocomplete adds network latency for each keystroke — no offline mode documented","Autocomplete trigger is always-on with no documented option to disable or manually trigger","Context awareness limited to current file; no cross-file codebase indexing mentioned","Import generation accuracy depends on model's understanding of project structure — may generate incorrect or redundant imports","Multi-cursor support claimed but implementation details and edge cases unknown","Chat context limited to explicitly selected code or current file — no automatic multi-file context or project-wide understanding documented","No persistent chat history across sessions mentioned — each new chat may start fresh","Model selection mechanism unknown — unclear if users can choose which model to use per query or if it's fixed per session","No integration with version control or git history for contextual code analysis","Response quality depends on prompt clarity and selected code context — no guardrails for ambiguous requests","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.55,"quality":0.43,"ecosystem":0.18,"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":"2026-05-24T12:16:34.118Z","last_scraped_at":"2026-05-03T15:20:37.518Z","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=double-deepseek-r1-openai-o1-sonnet-and-more","compare_url":"https://unfragile.ai/compare?artifact=double-deepseek-r1-openai-o1-sonnet-and-more"}},"signature":"aUxtLnBKstYoXj/VCBfXxTPECy2Rt0e6+WT8dhg0ZYgloIxi8Ta/lZXK6Z73exwrQYKz3GYCl2CcIWY+BqzEBw==","signedAt":"2026-06-21T23:02:06.923Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/double-deepseek-r1-openai-o1-sonnet-and-more","artifact":"https://unfragile.ai/double-deepseek-r1-openai-o1-sonnet-and-more","verify":"https://unfragile.ai/api/v1/verify?slug=double-deepseek-r1-openai-o1-sonnet-and-more","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"}}