{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-10nates-ollama-autocoder","slug":"ollama-autocoder","name":"Ollama Autocoder","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=10nates.ollama-autocoder","page_url":"https://unfragile.ai/ollama-autocoder","categories":["code-editors"],"tags":["__sponsor_extension","ai","assistant","autocomplete","coding","gpt","llama","llm","ollama","open source"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-10nates-ollama-autocoder__cap_0","uri":"capability://code.generation.editing.cursor.context.code.completion.with.streaming.token.output","name":"cursor-context code completion with streaming token output","description":"Generates code completions by sending text preceding the cursor position to a local Ollama instance, streaming tokens back to the editor in real-time. The extension reads the current file's text up to cursor position, constructs a prompt, and streams the model's output directly into the document at the cursor location. Context is strictly unidirectional — the model cannot see text ahead of the cursor, limiting completion awareness of surrounding code structure.","intents":["I want inline code suggestions as I type without leaving the editor","I need fast local code completion without sending code to cloud APIs","I want to use my own open-source LLM for autocompletion instead of proprietary services"],"best_for":["solo developers working on privacy-sensitive codebases","teams with local GPU infrastructure avoiding cloud API costs","developers using specialized domain-specific or fine-tuned Ollama models"],"limitations":["Only sees text before cursor — cannot use surrounding context or look-ahead patterns, reducing completion quality in complex nested structures","Requires Ollama instance running locally with model pre-installed — no fallback to cloud if local service fails","Streaming blocks cursor interaction until generation completes or is cancelled; no pause/resume capability","Prompt window size must be manually configured to match model's max context window; no automatic detection or truncation strategy documented"],"requires":["Ollama running locally with HTTP API accessible","Target model pre-installed in Ollama (e.g., qwen2.5-coder:latest)","VS Code (minimum version unknown)","Network connectivity to local Ollama endpoint (default localhost:11434)"],"input_types":["text (file content up to cursor position)","cursor position (line and column)"],"output_types":["text (streamed tokens inserted at cursor)","code (language-agnostic token stream)"],"categories":["code-generation-editing","editor-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-10nates-ollama-autocoder__cap_1","uri":"capability://automation.workflow.configurable.completion.trigger.via.spacebar.and.custom.keybindings","name":"configurable completion trigger via spacebar and custom keybindings","description":"Exposes completion triggering as a configurable VS Code command (`Autocomplete with Ollama`) that can be bound to spacebar, other characters, or custom keybindings. The extension defines a `completion keys` setting that specifies which characters trigger autocompletion, with spacebar as default. Users can also bind the command to arbitrary keybindings via VS Code's keybindings.json, enabling workflows where completion is triggered on-demand rather than automatically.","intents":["I want to trigger code completion only when I explicitly request it, not on every keystroke","I need to bind completion to a custom hotkey that doesn't conflict with my other editor shortcuts","I want different trigger behavior for different file types or contexts"],"best_for":["developers with custom VS Code keybinding schemes","teams using low-end hardware where automatic completion causes lag","workflows where on-demand completion is preferred over continuous suggestions"],"limitations":["Trigger configuration is global across all file types — no per-language or per-workspace trigger customization documented","Spacebar as default trigger may conflict with natural typing flow and cause unexpected completions mid-sentence","No conditional triggering based on file type, project context, or cursor position (e.g., only trigger in function bodies)"],"requires":["VS Code settings access (settings.json or UI)","Knowledge of VS Code keybindings.json format for custom bindings","Ollama running with model loaded"],"input_types":["configuration (completion keys string, keybinding definition)"],"output_types":["command invocation (triggers code completion)"],"categories":["automation-workflow","editor-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-10nates-ollama-autocoder__cap_2","uri":"capability://code.generation.editing.response.preview.with.configurable.delay.and.inline.continuation","name":"response preview with configurable delay and inline continuation","description":"Optionally displays a preview of the first line of generated completion before full generation completes, with a user-configurable delay before preview triggers. The `response preview` toggle enables/disables this feature, and `preview delay` controls how long the extension waits before showing the preview. The `continue inline` setting determines whether generation continues beyond the preview line when enabled. This allows developers to see early results without waiting for full generation, and cancel if the preview direction is wrong.","intents":["I want to see a quick preview of what the model will generate before waiting for full completion","I need to cancel generation early if the first line of output is wrong, without waiting for the full response","I want to tune preview timing to avoid performance issues on slow hardware"],"best_for":["developers on CPU-only or battery-powered devices where full generation is slow","workflows requiring rapid iteration and early feedback on model direction","teams tuning model behavior and wanting to see partial results quickly"],"limitations":["Preview shows only first line — insufficient for multi-line completions to assess correctness","Preview delay adds latency before any output appears; misconfigured delays can feel sluggish or too aggressive","On low-end devices, automatic preview triggering can cause performance issues if `response preview` is enabled — documentation recommends disabling on CPU-only hardware","No way to pause generation mid-stream and resume — only cancel (which discards output)"],"requires":["VS Code settings access","Ollama running with model loaded","Model with reasonable first-line generation quality (preview is only useful if first line is representative)"],"input_types":["configuration (response preview boolean, preview delay milliseconds, continue inline boolean)"],"output_types":["text (first line preview, then full completion if continue inline is true)"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-10nates-ollama-autocoder__cap_3","uri":"capability://tool.use.integration.local.ollama.model.selection.and.endpoint.configuration","name":"local ollama model selection and endpoint configuration","description":"Allows users to specify which Ollama model to use for completion via the `model` setting (defaulting to `qwen2.5-coder:latest`) and configure the Ollama API endpoint address via settings. The extension connects to the configured endpoint and requests completions from the specified model. Users can swap models without restarting the extension by changing the setting, enabling experimentation with different model sizes and architectures. The endpoint is configurable to support non-standard Ollama deployments (e.g., remote machines, Docker containers, or custom ports).","intents":["I want to use a specific open-source model (e.g., Llama 2, Mistral, CodeLlama) instead of the default","I need to point the extension to Ollama running on a different machine or port","I want to experiment with different models and swap between them without restarting VS Code"],"best_for":["developers with local GPU infrastructure running Ollama","teams evaluating different open-source models for code completion","organizations with custom Ollama deployments on non-standard ports or remote machines"],"limitations":["Model must be pre-installed in Ollama — extension does not download or manage models","No automatic model detection or listing — users must know the exact model name to configure","Prompt window size must be manually aligned with model's max context window; no automatic detection or truncation","No fallback or error handling if configured model is not available — extension will fail silently or show generic error","Endpoint configuration has no authentication mechanism documented — assumes Ollama is accessible without API keys"],"requires":["Ollama installed and running with target model pre-downloaded","Model name (e.g., qwen2.5-coder:latest, llama2, mistral)","Ollama API endpoint address (default localhost:11434)","VS Code settings access"],"input_types":["configuration (model name string, endpoint URL)"],"output_types":["model selection (used for subsequent completion requests)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-10nates-ollama-autocoder__cap_4","uri":"capability://automation.workflow.cancellable.generation.with.notification.ui","name":"cancellable generation with notification ui","description":"Displays a VS Code notification with a 'Cancel' button during code generation, allowing users to interrupt completion mid-stream. Cancellation can also be triggered by typing any character, which discards the in-flight generation and returns control to the editor. The notification provides visual feedback that generation is in progress and offers an explicit cancel action without requiring keyboard shortcuts.","intents":["I want to stop a slow or incorrect completion without waiting for it to finish","I need visual feedback that the model is generating and a clear way to cancel","I want to resume typing immediately if the model is going in the wrong direction"],"best_for":["developers on slow hardware where generation takes seconds","workflows with high iteration speed where early cancellation is common","users who want explicit control over generation lifecycle"],"limitations":["Cancellation discards all generated output — no way to pause and resume or save partial results","Typing any character to cancel may conflict with natural typing flow if user wants to continue editing while generation is in progress","No timeout mechanism documented — if Ollama hangs, user must manually cancel or restart extension","Notification UI may be obscured by other VS Code notifications or hidden in notification center"],"requires":["VS Code running with notification system active","Ollama generating completion (in-flight request)"],"input_types":["user action (click cancel button or type character)"],"output_types":["cancellation signal (stops generation, discards output)"],"categories":["automation-workflow","editor-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-10nates-ollama-autocoder__cap_5","uri":"capability://automation.workflow.context.window.size.configuration.for.prompt.truncation","name":"context window size configuration for prompt truncation","description":"Exposes a `prompt window size` setting that controls how much of the file's preceding text is sent to the model as context. Users must manually configure this to match their model's maximum context window (e.g., 2048 tokens for smaller models, 4096+ for larger ones). The extension truncates the file content to this window size before sending to Ollama, preventing context overflow errors. However, no automatic detection or adaptive truncation strategy is documented — users must know their model's limits and configure manually.","intents":["I want to control how much file context the model sees to avoid exceeding its context window","I need to tune context size for smaller models with limited context (e.g., 2K tokens)","I want to experiment with different context window sizes to balance quality and latency"],"best_for":["developers using smaller models with limited context windows","teams tuning model behavior and experimenting with context size trade-offs","workflows where context size significantly impacts latency (e.g., on CPU)"],"limitations":["No automatic context window detection — users must manually look up model specs and configure","No adaptive truncation strategy documented — if configured window is larger than model's actual limit, Ollama will error","Truncation is simple prefix-based (likely just taking last N characters) — no intelligent truncation that preserves code structure or recent edits","No feedback on actual token count or whether context is being truncated — users must infer from behavior","Unidirectional context (only text before cursor) means even with large window, model misses surrounding code structure"],"requires":["Knowledge of target model's context window size","VS Code settings access","Ollama running with model loaded"],"input_types":["configuration (prompt window size integer, typically in characters or tokens)"],"output_types":["truncated context (sent to Ollama for completion)"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":42,"verified":false,"data_access_risk":"moderate","permissions":["Ollama running locally with HTTP API accessible","Target model pre-installed in Ollama (e.g., qwen2.5-coder:latest)","VS Code (minimum version unknown)","Network connectivity to local Ollama endpoint (default localhost:11434)","VS Code settings access (settings.json or UI)","Knowledge of VS Code keybindings.json format for custom bindings","Ollama running with model loaded","VS Code settings access","Model with reasonable first-line generation quality (preview is only useful if first line is representative)","Ollama installed and running with target model pre-downloaded"],"failure_modes":["Only sees text before cursor — cannot use surrounding context or look-ahead patterns, reducing completion quality in complex nested structures","Requires Ollama instance running locally with model pre-installed — no fallback to cloud if local service fails","Streaming blocks cursor interaction until generation completes or is cancelled; no pause/resume capability","Prompt window size must be manually configured to match model's max context window; no automatic detection or truncation strategy documented","Trigger configuration is global across all file types — no per-language or per-workspace trigger customization documented","Spacebar as default trigger may conflict with natural typing flow and cause unexpected completions mid-sentence","No conditional triggering based on file type, project context, or cursor position (e.g., only trigger in function bodies)","Preview shows only first line — insufficient for multi-line completions to assess correctness","Preview delay adds latency before any output appears; misconfigured delays can feel sluggish or too aggressive","On low-end devices, automatic preview triggering can cause performance issues if `response preview` is enabled — documentation recommends disabling on CPU-only hardware","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.59,"quality":0.22,"ecosystem":0.35000000000000003,"match_graph":0.25,"freshness":0.9,"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":"2026-05-03T15:20:33.198Z","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=ollama-autocoder","compare_url":"https://unfragile.ai/compare?artifact=ollama-autocoder"}},"signature":"L32LPjqFl8us97wj0RBim+Mf5oF+eeqBIqocsmz5nLT6lgM9C8CF8MwqvZDXunLLJeqHBjagpW+5AaPMDHj+DQ==","signedAt":"2026-06-17T01:10:13.416Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/ollama-autocoder","artifact":"https://unfragile.ai/ollama-autocoder","verify":"https://unfragile.ai/api/v1/verify?slug=ollama-autocoder","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"}}