Deploy Pi CLI web terminal

README.md

@@ -1,10 +1,155 @@
 ---
-title: Pi CLI Web Static
-emoji: 📊
-colorFrom: pink
-colorTo: red
+title: Pi CLI Web
 sdk: static
-pinned: false
+app_file: index.html
+fullWidth: true
+models:
+  - onnx-community/Qwen2.5-Coder-0.5B-Instruct
+  - onnx-community/Qwen3-0.6B-ONNX
+  - Mike0021/MiniCPM5-1B-ONNX-Web
+custom_headers:
+  cross-origin-embedder-policy: credentialless
+  cross-origin-opener-policy: same-origin
+  cross-origin-resource-policy: cross-origin
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Pi CLI Web
+
+This workspace ships a browser-only port of the `pi` CLI backed by Transformers.js, WebContainers, and a real terminal surface. The UI uses `ghostty-web` first, with `@xterm/xterm` as a fallback, and exposes Pi's built-in tool names: `read`, `bash`, `edit`, `write`, plus read-only `grep`, `find`, and `ls`.
+
+The default planner is `onnx-community/Qwen2.5-Coder-0.5B-Instruct` because it produced the strongest browser result in the local task suite; Qwen3 0.6B and the converted MiniCPM5 model remain selectable for comparison.
+
+Published artifact: https://huggingface.co/Mike0021/MiniCPM5-1B-ONNX-Web
+
+The required runtime layout is:
+
+- `config.json`, `generation_config.json`, tokenizer files, and `chat_template.jinja` at the repo root
+- q4 ONNX weights at `onnx/model_q4.onnx`
+- `config.json` includes `transformers.js_config.dtype = "q4"` so the default loader selects the web-sized artifact
+
+The conversion uses an ONNX export with KV cache (`text-generation-with-past`) and then applies ONNX Runtime 4-bit MatMul quantization. A generic ONNX export without KV cache is not enough for normal Transformers.js autoregressive generation.
+
+## Run the Web App
+
+```bash
+npm install
+npm run dev
+```
+
+Open http://localhost:5173/.
+
+The app uses:
+
+- `@earendil-works/pi-agent-core` for the agent loop, transcript state, and tool execution.
+- `@earendil-works/pi-coding-agent` as the installed CLI contract for parity checks against `pi --help` and `pi --version`.
+- `ghostty-web` as the terminal frontend, with `@xterm/xterm` fallback.
+- `@huggingface/transformers` with `onnx-community/Qwen2.5-Coder-0.5B-Instruct` as the default local browser planner.
+- `@webcontainer/api` for the client-only sandbox with a virtual filesystem and browser-contained Node.js processes.
+
+Vite serves the app with COOP/COEP headers and boots WebContainers with `coep: "credentialless"`. The deterministic test model is available at `http://localhost:5173/?mode=mock&device=wasm` for fast harness and sandbox smoke tests without downloading an ONNX model. The local model defaults to a tested 256-token generation budget in WASM mode and supports budgets up to 8192 through the `tokens=` query parameter and `/settings tokens=<n>`.
+
+The Static Space uses the same isolation policy through `custom_headers` in this README frontmatter. The app is built with `npm run build`; the generated `dist/index.html` and `dist/assets/` are uploaded to the Space root as `index.html` and `assets/`.
+
+## Test the CLI Web App
+
+Start the dev server, then run:
+
+```bash
+npm run smoke:web
+```
+
+The smoke test opens Chromium, confirms `crossOriginIsolated`, verifies the terminal startup, runs `/help`, executes a direct `!!node ...` command, then submits a deterministic Pi task that writes `hello.js`, runs `bash`/Node in WebContainer, and checks for `pi sandbox result: 42`.
+
+To compare the web terminal contract against the installed real CLI:
+
+```bash
+npm run parity:cli
+```
+
+This checks `pi --version`, the `pi --help` contract, slash commands, and the built-in tool names exposed by the browser terminal.
+
+For the heavier end-to-end check with the real ONNX model in browser WASM mode:
+
+```bash
+npm run smoke:local-model
+```
+
+This downloads/loads the q4 ONNX artifact in Chrome, runs the same pi/WebContainer task, and checks that the model reaches `Model ready` before the sandbox result is accepted.
+
+The complex smoke test covers simple code execution, installing and using an npm package, and a multi-file ES module task:
+
+```bash
+npm run smoke:complex
+```
+
+The sandbox can install and use Node packages through the same Pi `bash` tool, for example `npm install is-number@7.0.0` followed by `node check-package.mjs`.
+
+To probe larger browser generation budgets:
+
+```bash
+TOKEN_BUDGETS=80,256,2048,8192 npm run probe:tokens
+```
+
+Measured local WASM results with Qwen2.5-Coder 0.5B:
+
+- `npm run smoke:web` passed in deterministic mode using the `ghostty-web` terminal.
+- `npm run parity:cli` passed against `@earendil-works/pi-coding-agent@0.77.0`.
+- `MAX_NEW_TOKENS=80 npm run smoke:local-model` passed with the real browser model.
+- `MAX_NEW_TOKENS=256 npm run smoke:complex` passed simple, npm dependency, and multi-file module tasks with the real browser model.
+- `TOKEN_BUDGETS=80,160,256,512,1024,2048,4096,8192 npm run probe:tokens` passed. Higher caps were accepted; for the probe task the model stopped naturally before using the full cap.
+
+## Verify the Published Artifact
+
+```bash
+npm install
+node scripts/verify_tjs_model.mjs Mike0021/MiniCPM5-1B-ONNX-Web
+```
+
+The verifier asks Transformers.js for the `text-generation` file plan, checks for `onnx/model_q4.onnx`, then loads the model and generates a short completion.
+
+## Convert and Upload
+
+The published repo was produced locally with a CPU fp16 export followed by q4 ONNX quantization:
+
+```bash
+uv run --python 3.12 \
+  --with "numpy<2" \
+  --with "transformers==4.57.6" \
+  --with "optimum[onnx]" \
+  --with "onnxruntime==1.20.1" \
+  --with onnxslim \
+  --with "huggingface_hub>=0.33" \
+  --with accelerate \
+  --with sentencepiece \
+  --with protobuf \
+  scripts/convert_minicpm5_tjs.py \
+  --source-model openbmb/MiniCPM5-1B \
+  --target-repo Mike0021/MiniCPM5-1B-ONNX-Web \
+  --output-dir output/MiniCPM5-1B-ONNX-Web \
+  --work-dir output/minicpm5-work \
+  --device cpu \
+  --export-dtype fp16
+```
+
+For a clean remote conversion, the same script can be run on Hugging Face Jobs with a configured Hub token:
+
+```bash
+hf repos create Mike0021/MiniCPM5-1B-ONNX-Web --repo-type model --exist-ok
+hf jobs uv run scripts/convert_minicpm5_tjs.py \
+  --flavor l4x1 \
+  --timeout 6h \
+  --secrets HF_TOKEN \
+  --with "numpy<2" \
+  --with "transformers==4.57.6" \
+  --with "optimum[onnx]" \
+  --with "onnxruntime==1.20.1" \
+  --with onnxslim \
+  --with "huggingface_hub>=0.33" \
+  --with accelerate \
+  --with sentencepiece \
+  --with protobuf \
+  --python 3.12 \
+  -- \
+  --target-repo Mike0021/MiniCPM5-1B-ONNX-Web \
+  --export-dtype fp16
+```

assets/__vite-browser-external-2447137e-BIHI7g3E.js

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+const e={};export{e as default};

assets/addon-fit-DX4qG4td.js

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+var p=2,c=1,d=class{activate(e){this._terminal=e}dispose(){}fit(){let e=this.proposeDimensions();if(!e||!this._terminal||isNaN(e.cols)||isNaN(e.rows))return;let i=this._terminal._core;(this._terminal.rows!==e.rows||this._terminal.cols!==e.cols)&&(i._renderService.clear(),this._terminal.resize(e.cols,e.rows))}proposeDimensions(){if(!this._terminal||!this._terminal.element||!this._terminal.element.parentElement)return;let e=this._terminal._core._renderService.dimensions;if(e.css.cell.width===0||e.css.cell.height===0)return;let i=this._terminal.options.scrollback===0?0:this._terminal.options.overviewRuler?.width||14,s=window.getComputedStyle(this._terminal.element.parentElement),l=parseInt(s.getPropertyValue("height")),o=Math.max(0,parseInt(s.getPropertyValue("width"))),t=window.getComputedStyle(this._terminal.element),r={top:parseInt(t.getPropertyValue("padding-top")),bottom:parseInt(t.getPropertyValue("padding-bottom")),right:parseInt(t.getPropertyValue("padding-right")),left:parseInt(t.getPropertyValue("padding-left"))},a=r.top+r.bottom,n=r.right+r.left,h=l-a,m=o-n-i;return{cols:Math.max(p,Math.floor(m/e.css.cell.width)),rows:Math.max(c,Math.floor(h/e.css.cell.height))}}};export{d as FitAddon};

assets/azure-openai-responses-BGzUURKK.js

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assets/github-copilot-headers-CVWOSrQr.js

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+var i={};function u(r){return r==="cloudflare-workers-ai"||r==="cloudflare-ai-gateway"}function l(r){const e=r.baseUrl;return e.includes("{")?e.replace(/\{([A-Z_][A-Z0-9_]*)\}/g,(s,n)=>{const o=i[n];if(!o)throw new Error(`${n} is required for provider ${r.provider} but is not set.`);return o}):e}function a(r){const e=r[r.length-1];return e&&e.role!=="user"?"agent":"user"}function c(r){return r.some(e=>e.role==="user"&&Array.isArray(e.content)?e.content.some(t=>t.type==="image"):e.role==="toolResult"&&Array.isArray(e.content)?e.content.some(t=>t.type==="image"):!1)}function f(r){const e={"X-Initiator":a(r.messages),"Openai-Intent":"conversation-edits"};return r.hasImages&&(e["Copilot-Vision-Request"]="true"),e}export{f as b,c as h,u as i,l as r};

assets/google-kA_fw5EZ.js

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assets/google-vertex-CxMnHyvQ.js

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+import{i as T,r as x,m as w,G as L,c as R,a as M,b as G,T as d,R as S}from"./google-shared-tMPbwRUC.js";import{A,c as N,a as P}from"./index-CB_zB4U3.js";import{s as U}from"./sanitize-unicode-B62XMGgN.js";import{b as D}from"./transform-messages-DSNYjDRn.js";var f={};const v="v1",V="gcp-vertex-credentials",H={THINKING_LEVEL_UNSPECIFIED:d.THINKING_LEVEL_UNSPECIFIED,MINIMAL:d.MINIMAL,LOW:d.LOW,MEDIUM:d.MEDIUM,HIGH:d.HIGH};let K=0;const k=(t,e,n)=>{const a=new A;return(async()=>{const i={role:"assistant",content:[],api:"google-vertex",provider:t.provider,model:t.id,usage:{input:0,output:0,cacheRead:0,cacheWrite:0,totalTokens:0,cost:{input:0,output:0,cacheRead:0,cacheWrite:0,total:0}},stopReason:"stop",timestamp:Date.now()};try{const s=$(n),l=s?j(t,s,n?.headers):W(t,F(n),z(n),n?.headers);let g=X(t,e,n);const I=await n?.onPayload?.(g,t);I!==void 0&&(g=I);const E=await l.models.generateContentStream(g);a.push({type:"start",partial:i});let o=null;const y=i.content,c=()=>y.length-1;for await(const u of E){i.responseId||=u.responseId;const p=u.candidates?.[0];if(p?.content?.parts)for(const r of p.content.parts){if(r.text!==void 0){const h=T(r);(!o||h&&o.type!=="thinking"||!h&&o.type!=="text")&&(o&&(o.type==="text"?a.push({type:"text_end",contentIndex:y.length-1,content:o.text,partial:i}):a.push({type:"thinking_end",contentIndex:c(),content:o.thinking,partial:i})),h?(o={type:"thinking",thinking:"",thinkingSignature:void 0},i.content.push(o),a.push({type:"thinking_start",contentIndex:c(),partial:i})):(o={type:"text",text:""},i.content.push(o),a.push({type:"text_start",contentIndex:c(),partial:i}))),o.type==="thinking"?(o.thinking+=r.text,o.thinkingSignature=x(o.thinkingSignature,r.thoughtSignature),a.push({type:"thinking_delta",contentIndex:c(),delta:r.text,partial:i})):(o.text+=r.text,o.textSignature=x(o.textSignature,r.thoughtSignature),a.push({type:"text_delta",contentIndex:c(),delta:r.text,partial:i}))}if(r.functionCall){o&&(o.type==="text"?a.push({type:"text_end",contentIndex:c(),content:o.text,partial:i}):a.push({type:"thinking_end",contentIndex:c(),content:o.thinking,partial:i}),o=null);const h=r.functionCall.id,m={type:"toolCall",id:!h||i.content.some(O=>O.type==="toolCall"&&O.id===h)?`${r.functionCall.name}_${Date.now()}_${++K}`:h,name:r.functionCall.name||"",arguments:r.functionCall.args??{},...r.thoughtSignature&&{thoughtSignature:r.thoughtSignature}};i.content.push(m),a.push({type:"toolcall_start",contentIndex:c(),partial:i}),a.push({type:"toolcall_delta",contentIndex:c(),delta:JSON.stringify(m.arguments),partial:i}),a.push({type:"toolcall_end",contentIndex:c(),toolCall:m,partial:i})}}p?.finishReason&&(i.stopReason=w(p.finishReason),i.content.some(r=>r.type==="toolCall")&&(i.stopReason="toolUse")),u.usageMetadata&&(i.usage={input:(u.usageMetadata.promptTokenCount||0)-(u.usageMetadata.cachedContentTokenCount||0),output:(u.usageMetadata.candidatesTokenCount||0)+(u.usageMetadata.thoughtsTokenCount||0),cacheRead:u.usageMetadata.cachedContentTokenCount||0,cacheWrite:0,totalTokens:u.usageMetadata.totalTokenCount||0,cost:{input:0,output:0,cacheRead:0,cacheWrite:0,total:0}},N(t,i.usage))}if(o&&(o.type==="text"?a.push({type:"text_end",contentIndex:c(),content:o.text,partial:i}):a.push({type:"thinking_end",contentIndex:c(),content:o.thinking,partial:i})),n?.signal?.aborted)throw new Error("Request was aborted");if(i.stopReason==="aborted"||i.stopReason==="error")throw new Error("An unknown error occurred");a.push({type:"done",reason:i.stopReason,message:i}),a.end()}catch(s){for(const l of i.content)"index"in l&&delete l.index;i.stopReason=n?.signal?.aborted?"aborted":"error",i.errorMessage=s instanceof Error?s.message:JSON.stringify(s),a.push({type:"error",reason:i.stopReason,error:i}),a.end()}})(),a},rt=(t,e,n)=>{const a=D(t,n,void 0);if(!n?.reasoning)return k(t,e,{...a,thinking:{enabled:!1}});const i=P(t,n.reasoning),s=i==="off"?"high":i,l=t;return C(l)||b(l)?k(t,e,{...a,thinking:{enabled:!0,level:Q(s,l)}}):k(t,e,{...a,thinking:{enabled:!0,budgetTokens:Z(l,s,n.thinkingBudgets)}})};function W(t,e,n,a){return new L({vertexai:!0,project:e,location:n,apiVersion:v,httpOptions:_(t,a)})}function j(t,e,n){return new L({vertexai:!0,apiKey:e,apiVersion:v,httpOptions:_(t,n)})}function _(t,e){const n={},a=B(t.baseUrl);return a&&(n.baseUrl=a,n.baseUrlResourceScope=S.COLLECTION,J(a)&&(n.apiVersion="")),(t.headers||e)&&(n.headers={...t.headers,...e}),Object.keys(n).length>0?n:void 0}function B(t){const e=t.trim();if(!(!e||e.includes("{location}")))return e}function J(t){try{return new URL(t).pathname.split("/").some(n=>/^v\d+(?:beta\d*)?$/.test(n))}catch{return/(?:^|\/)v\d+(?:beta\d*)?(?:\/|$)/.test(t)}}function $(t){const e=t?.apiKey?.trim()||f.GOOGLE_CLOUD_API_KEY?.trim();if(!(!e||e===V||q(e)))return e}function q(t){return/^<[^>]+>$/.test(t)}function F(t){const e=t?.project||f.GOOGLE_CLOUD_PROJECT||f.GCLOUD_PROJECT;if(!e)throw new Error("Vertex AI requires a project ID. 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assets/hash-DMDecQcg.js

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+function l(a){let t=3735928559,h=1103547991;for(let e=0;e<a.length;e++){const i=a.charCodeAt(e);t=Math.imul(t^i,2654435761),h=Math.imul(h^i,1597334677)}return t=Math.imul(t^t>>>16,2246822507)^Math.imul(h^h>>>13,3266489909),h=Math.imul(h^h>>>16,2246822507)^Math.imul(t^t>>>13,3266489909),(h>>>0).toString(36)+(t>>>0).toString(36)}export{l as s};

assets/headers-CgnjaPPL.js

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+function n(o){const e={};for(const[r,t]of o.entries())e[r]=t;return e}export{n as h};

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assets/index-NRwwiW4N.css

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assets/json-parse-cUk3uCki.js

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assets/openai-codex-responses-7plNQja4.js

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assets/openai-prompt-cache-h_V5PL7P.js

@@ -0,0 +1 @@
+function r(_){if(_===void 0)return;const n=Array.from(_);return n.length<=64?_:n.slice(0,64).join("")}export{r as c};

assets/openai-responses-CW5o7IM-.js

@@ -0,0 +1 @@
+import{O as A}from"./client-Sq9UPDIz.js";import{A as I,g as h,a as E}from"./index-CB_zB4U3.js";import{h as w}from"./headers-CgnjaPPL.js";import{h as _,b as O,i as b,r as P}from"./github-copilot-headers-CVWOSrQr.js";import{c as S}from"./openai-prompt-cache-h_V5PL7P.js";import{p as C,c as T,a as k}from"./openai-responses-shared-DBUlz2NN.js";import{b as L}from"./transform-messages-DSNYjDRn.js";import"./hash-DMDecQcg.js";import"./json-parse-cUk3uCki.js";import"./sanitize-unicode-B62XMGgN.js";var u={};const M=new Set(["openai","openai-codex","opencode"]);function g(e){return e||(typeof process<"u"&&u.PI_CACHE_RETENTION==="long"?"long":"short")}function m(e){return{sendSessionIdHeader:e.compat?.sendSessionIdHeader??!0,supportsLongCacheRetention:e.compat?.supportsLongCacheRetention??!0}}function N(e,t){return t==="long"&&e.supportsLongCacheRetention?"24h":void 0}function x(e){if(e instanceof Error){const t=e.status,r=typeof t=="number"?t:void 0;return r!==void 0?`OpenAI API error (${r}): ${e.message}`:e.message}try{return JSON.stringify(e)}catch{return String(e)}}const H=(e,t,r)=>{const s=new I;return(async()=>{const a={role:"assistant",content:[],api:e.api,provider:e.provider,model:e.id,usage:{input:0,output:0,cacheRead:0,cacheWrite:0,totalTokens:0,cost:{input:0,output:0,cacheRead:0,cacheWrite:0,total:0}},stopReason:"stop",timestamp:Date.now()};try{const o=r?.apiKey||h(e.provider)||"",i=g(r?.cacheRetention)==="none"?void 0:r?.sessionId,p=K(e,t,o,r?.headers,i);let c=q(e,t,r);const f=await r?.onPayload?.(c,e);f!==void 0&&(c=f);const l={...r?.signal?{signal:r.signal}:{},...r?.timeoutMs!==void 0?{timeout:r.timeoutMs}:{},maxRetries:r?.maxRetries??0},{data:v,response:d}=await p.responses.create(c,l).withResponse();if(await r?.onResponse?.({status:d.status,headers:w(d.headers)},e),s.push({type:"start",partial:a}),await C(v,a,s,e,{serviceTier:r?.serviceTier,applyServiceTierPricing:(R,y)=>W(R,y,e)}),r?.signal?.aborted)throw new Error("Request was aborted");if(a.stopReason==="aborted"||a.stopReason==="error")throw new Error("An unknown error occurred");s.push({type:"done",reason:a.stopReason,message:a}),s.end()}catch(o){for(const n of a.content)delete n.index,delete n.partialJson;a.stopReason=r?.signal?.aborted?"aborted":"error",a.errorMessage=x(o),s.push({type:"error",reason:a.stopReason,error:a}),s.end()}})(),s},Q=(e,t,r)=>{const s=r?.apiKey||h(e.provider);if(!s)throw new Error(`No API key for provider: ${e.provider}`);const a=L(e,r,s),o=r?.reasoning?E(e,r.reasoning):void 0;return H(e,t,{...a,reasoningEffort:o==="off"?void 0:o})};function K(e,t,r,s,a){if(!r){if(!u.OPENAI_API_KEY)throw new Error("OpenAI API key is required. Set OPENAI_API_KEY environment variable or pass it as an argument.");r=u.OPENAI_API_KEY}const o=m(e),n={...e.headers};if(e.provider==="github-copilot"){const p=_(t.messages),c=O({messages:t.messages,hasImages:p});Object.assign(n,c)}a&&(o.sendSessionIdHeader&&(n.session_id=a),n["x-client-request-id"]=a),s&&Object.assign(n,s);const i=e.provider==="cloudflare-ai-gateway"?{...n,Authorization:n.Authorization??null,"cf-aig-authorization":`Bearer ${r}`}:n;return new A({apiKey:r,baseURL:b(e.provider)?P(e):e.baseUrl,dangerouslyAllowBrowser:!0,defaultHeaders:i})}function q(e,t,r){const s=T(e,t,M),a=g(r?.cacheRetention),o=m(e),n={model:e.id,input:s,stream:!0,prompt_cache_key:a==="none"?void 0:S(r?.sessionId),prompt_cache_retention:N(o,a),store:!1};if(r?.maxTokens&&(n.max_output_tokens=r?.maxTokens),r?.temperature!==void 0&&(n.temperature=r?.temperature),r?.serviceTier!==void 0&&(n.service_tier=r.serviceTier),t.tools&&t.tools.length>0&&(n.tools=k(t.tools)),e.reasoning)if(r?.reasoningEffort||r?.reasoningSummary){const i=r?.reasoningEffort?e.thinkingLevelMap?.[r.reasoningEffort]??r.reasoningEffort:"medium";n.reasoning={effort:i,summary:r?.reasoningSummary||"auto"},n.include=["reasoning.encrypted_content"]}else e.provider!=="github-copilot"&&e.thinkingLevelMap?.off!==null&&(n.reasoning={effort:e.thinkingLevelMap?.off??"none"});return n}function B(e,t){switch(t){case"flex":return .5;case"priority":return e.id==="gpt-5.5"?2.5:2;default:return 1}}function W(e,t,r){const s=B(r,t);s!==1&&(e.cost.input*=s,e.cost.output*=s,e.cost.cacheRead*=s,e.cost.cacheWrite*=s,e.cost.total=e.cost.input+e.cost.output+e.cost.cacheRead+e.cost.cacheWrite)}export{H as streamOpenAIResponses,Q as streamSimpleOpenAIResponses};

assets/openai-responses-shared-DBUlz2NN.js

@@ -0,0 +1,12 @@
+import{c as $}from"./index-CB_zB4U3.js";import{s as S}from"./hash-DMDecQcg.js";import{a as k}from"./json-parse-cUk3uCki.js";import{s as x}from"./sanitize-unicode-B62XMGgN.js";import{t as T}from"./transform-messages-DSNYjDRn.js";function C(r,t){const l={v:1,id:r};return t&&(l.phase=t),JSON.stringify(l)}function J(r){if(r){if(r.startsWith("{"))try{const t=JSON.parse(r);if(t.v===1&&typeof t.id=="string")return t.phase==="commentary"||t.phase==="final_answer"?{id:t.id,phase:t.phase}:{id:t.id}}catch{}return{id:r}}}function W(r,t,l,h){const u=[],i=s=>{const o=s.replace(/[^a-zA-Z0-9_-]/g,"_");return(o.length>64?o.slice(0,64):o).replace(/_+$/,"")},n=s=>{const o=`fc_${S(s)}`;return o.length>64?o.slice(0,64):o},I=(s,o,c)=>{if(!l.has(r.provider)||!s.includes("|"))return i(s);const[_,y]=s.split("|"),f=i(_);let m=c.provider!==r.provider||c.api!==r.api?n(y):i(y);return m.startsWith("fc_")||(m=i(`fc_${m}`)),`${f}|${m}`},d=T(t.messages,r,I);if((h?.includeSystemPrompt??!0)&&t.systemPrompt){const s=r.reasoning?"developer":"system";u.push({role:s,content:x(t.systemPrompt)})}let e=0;for(const s of d){if(s.role==="user")if(typeof s.content=="string")u.push({role:"user",content:[{type:"input_text",text:x(s.content)}]});else{const o=s.content.map(c=>c.type==="text"?{type:"input_text",text:x(c.text)}:{type:"input_image",detail:"auto",image_url:`data:${c.mimeType};base64,${c.data}`});if(o.length===0)continue;u.push({role:"user",content:o})}else if(s.role==="assistant"){const o=[],c=s,_=c.model!==r.id&&c.provider===r.provider&&c.api===r.api;let y=0;for(const f of s.content)if(f.type==="thinking"){if(f.thinkingSignature){const p=JSON.parse(f.thinkingSignature);o.push(p)}}else if(f.type==="text"){const p=f,m=J(p.textSignature),v=y===0?`msg_pi_${e}`:`msg_pi_${e}_${y}`;y++;let g=m?.id;g?g.length>64&&(g=`msg_${S(g)}`):g=v,o.push({type:"message",role:"assistant",content:[{type:"output_text",text:x(p.text),annotations:[]}],status:"completed",id:g,phase:m?.phase})}else if(f.type==="toolCall"){const p=f,[m,v]=p.id.split("|");let g=v;_&&g?.startsWith("fc_")&&(g=void 0),o.push({type:"function_call",id:g,call_id:m,name:p.name,arguments:JSON.stringify(p.arguments)})}if(o.length===0)continue;u.push(...o)}else if(s.role==="toolResult"){const o=s.content.filter(p=>p.type==="text").map(p=>p.text).join(`
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+
+`,e.text+=`
+
+`,l.push({type:"thinking_delta",contentIndex:d(),delta:`
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+`,partial:t}))}}else if(a.type==="response.reasoning_text.delta")i?.type==="reasoning"&&n?.type==="thinking"&&(n.thinking+=a.delta,l.push({type:"thinking_delta",contentIndex:d(),delta:a.delta,partial:t}));else if(a.type==="response.content_part.added")i?.type==="message"&&(i.content=i.content||[],(a.part.type==="output_text"||a.part.type==="refusal")&&i.content.push(a.part));else if(a.type==="response.output_text.delta"){if(i?.type==="message"&&n?.type==="text"){if(!i.content||i.content.length===0)continue;const e=i.content[i.content.length-1];e?.type==="output_text"&&(n.text+=a.delta,e.text+=a.delta,l.push({type:"text_delta",contentIndex:d(),delta:a.delta,partial:t}))}}else if(a.type==="response.refusal.delta"){if(i?.type==="message"&&n?.type==="text"){if(!i.content||i.content.length===0)continue;const e=i.content[i.content.length-1];e?.type==="refusal"&&(n.text+=a.delta,e.refusal+=a.delta,l.push({type:"text_delta",contentIndex:d(),delta:a.delta,partial:t}))}}else if(a.type==="response.function_call_arguments.delta")i?.type==="function_call"&&n?.type==="toolCall"&&(n.partialJson+=a.delta,n.arguments=k(n.partialJson),l.push({type:"toolcall_delta",contentIndex:d(),delta:a.delta,partial:t}));else if(a.type==="response.function_call_arguments.done"){if(i?.type==="function_call"&&n?.type==="toolCall"){const e=n.partialJson;if(n.partialJson=a.arguments,n.arguments=k(n.partialJson),a.arguments.startsWith(e)){const s=a.arguments.slice(e.length);s.length>0&&l.push({type:"toolcall_delta",contentIndex:d(),delta:s,partial:t})}}}else if(a.type==="response.output_item.done"){const e=a.item;if(e.type==="reasoning"&&n?.type==="thinking"){const s=e.summary?.map(c=>c.text).join(`
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+`)||"",o=e.content?.map(c=>c.text).join(`
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+`)||"";n.thinking=s||o||n.thinking,n.thinkingSignature=JSON.stringify(e),l.push({type:"thinking_end",contentIndex:d(),content:n.thinking,partial:t}),n=null}else if(e.type==="message"&&n?.type==="text")n.text=e.content.map(s=>s.type==="output_text"?s.text:s.refusal).join(""),n.textSignature=C(e.id,e.phase??void 0),l.push({type:"text_end",contentIndex:d(),content:n.text,partial:t}),n=null;else if(e.type==="function_call"){const s=n?.type==="toolCall"&&n.partialJson?k(n.partialJson):k(e.arguments||"{}");let o;n?.type==="toolCall"?(n.arguments=s,delete n.partialJson,o=n):o={type:"toolCall",id:`${e.call_id}|${e.id}`,name:e.name,arguments:s},n=null,l.push({type:"toolcall_end",contentIndex:d(),toolCall:o,partial:t})}}else if(a.type==="response.completed"){const e=a.response;if(e?.id&&(t.responseId=e.id),e?.usage){const s=e.usage.input_tokens_details?.cached_tokens||0;t.usage={input:(e.usage.input_tokens||0)-s,output:e.usage.output_tokens||0,cacheRead:s,cacheWrite:0,totalTokens:e.usage.total_tokens||0,cost:{input:0,output:0,cacheRead:0,cacheWrite:0,total:0}}}if($(h,t.usage),u?.applyServiceTierPricing){const s=u.resolveServiceTier?u.resolveServiceTier(e?.service_tier,u.serviceTier):e?.service_tier??u.serviceTier;u.applyServiceTierPricing(t.usage,s)}t.stopReason=P(e?.status),t.content.some(s=>s.type==="toolCall")&&t.stopReason==="stop"&&(t.stopReason="toolUse")}else{if(a.type==="error")throw new Error(`Error Code ${a.code}: ${a.message}`||"Unknown error");if(a.type==="response.failed"){const e=a.response?.error,s=a.response?.incomplete_details,o=e?`${e.code||"unknown"}: ${e.message||"no message"}`:s?.reason?`incomplete: ${s.reason}`:"Unknown error (no error details in response)";throw new Error(o)}}}function P(r){if(!r)return"stop";switch(r){case"completed":return"stop";case"incomplete":return"length";case"failed":case"cancelled":return"error";case"in_progress":case"queued":return"stop";default:{const t=r;throw new Error(`Unhandled stop reason: ${t}`)}}}export{N as a,W as c,O as p};

assets/openrouter-DE7amXV2.js

@@ -0,0 +1 @@
+import{O as y}from"./client-Sq9UPDIz.js";import{g as R}from"./index-CB_zB4U3.js";import{h as x}from"./headers-CgnjaPPL.js";import{s as _}from"./sanitize-unicode-B62XMGgN.js";const O=async(e,r,t)=>{const a={api:e.api,provider:e.provider,model:e.id,output:[],stopReason:"stop",timestamp:Date.now()};try{const s=t?.apiKey||R(e.provider);if(!s)throw new Error(`No API key available for provider: ${e.provider}`);const c=k(e,s,t?.headers);let n=w(e,r);const i=await t?.onPayload?.(n,e);i!==void 0&&(n=i);const o={...t?.signal?{signal:t.signal}:{},...t?.timeoutMs!==void 0?{timeout:t.timeoutMs}:{},maxRetries:t?.maxRetries??0},{data:l,response:d}=await c.chat.completions.create(n,o).withResponse();await t?.onResponse?.({status:d.status,headers:x(d.headers)},e);const u=l;a.responseId=u.id,u.usage&&(a.usage=b(u.usage,e));const p=u.choices[0];if(p){const m=p.message.content;typeof m=="string"&&m.length>0&&a.output.push({type:"text",text:m});for(const g of p.message.images??[]){const f=typeof g.image_url=="string"?g.image_url:g.image_url?.url;if(!f?.startsWith("data:"))continue;const h=f.match(/^data:([^;]+);base64,(.+)$/);h&&a.output.push({type:"image",mimeType:h[1],data:h[2]})}}return a}catch(s){return a.stopReason=t?.signal?.aborted?"aborted":"error",a.errorMessage=s instanceof Error?s.message:JSON.stringify(s),a}};function k(e,r,t){return new y({apiKey:r,baseURL:e.baseUrl,dangerouslyAllowBrowser:!0,defaultHeaders:{...e.headers,...t}})}function w(e,r){const t=r.input.map(a=>a.type==="text"?{type:"text",text:_(a.text)}:{type:"image_url",image_url:{url:`data:${a.mimeType};base64,${a.data}`}});return{model:e.id,messages:[{role:"user",content:t}],stream:!1,modalities:e.output.includes("text")?["image","text"]:["image"]}}function b(e,r){const t=e.prompt_tokens||0,a=e.prompt_tokens_details?.cached_tokens||0,s=e.prompt_tokens_details?.cache_write_tokens||0,c=s>0?Math.max(0,a-s):a,n=Math.max(0,t-c-s),i=e.completion_tokens||0,o={input:n,output:i,cacheRead:c,cacheWrite:s,totalTokens:n+i+c+s,cost:{input:r.cost.input/1e6*n,output:r.cost.output/1e6*i,cacheRead:r.cost.cacheRead/1e6*c,cacheWrite:r.cost.cacheWrite/1e6*s,total:0}};return o.cost.total=o.cost.input+o.cost.output+o.cost.cacheRead+o.cost.cacheWrite,o}export{O as generateImagesOpenRouter};

assets/ort-wasm-simd-threaded.asyncify-DMmc6YqF.wasm

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e0c0c6d3e73d43b8a249972f8358f845b08cc16fec3c80efafdf8bed40366786
+size 23567050

assets/sanitize-unicode-B62XMGgN.js

@@ -0,0 +1 @@
+function F(u){return u.replace(new RegExp("[\\uD800-\\uDBFF](?![\\uDC00-\\uDFFF])|(?<![\\uD800-\\uDBFF])[\\uDC00-\\uDFFF]","g"),"")}export{F as s};

assets/transform-messages-DSNYjDRn.js

@@ -0,0 +1 @@
+function w(a,t,n){return{temperature:t?.temperature,maxTokens:t?.maxTokens,signal:t?.signal,apiKey:n||t?.apiKey,transport:t?.transport,cacheRetention:t?.cacheRetention,sessionId:t?.sessionId,headers:t?.headers,onPayload:t?.onPayload,onResponse:t?.onResponse,timeoutMs:t?.timeoutMs,websocketConnectTimeoutMs:t?.websocketConnectTimeoutMs,maxRetries:t?.maxRetries,maxRetryDelayMs:t?.maxRetryDelayMs,metadata:t?.metadata}}function R(a){return a==="xhigh"?"high":a}function S(a,t,n,l){const m={...{minimal:1024,low:2048,medium:8192,high:16384},...l},u=1024,f=R(n);let s=m[f];const d=a===void 0?t:Math.min(a+s,t);return d<=s&&(s=Math.max(0,d-u)),{maxTokens:d,thinkingBudget:s}}const I="(image omitted: model does not support images)",M="(tool image omitted: model does not support images)";function y(a,t){const n=[];let l=!1;for(const h of a){if(h.type==="image"){l||n.push({type:"text",text:t}),l=!0;continue}n.push(h),l=h.text===t}return n}function C(a,t){return t.input.includes("image")?a:a.map(n=>n.role==="user"&&Array.isArray(n.content)?{...n,content:y(n.content,I)}:n.role==="toolResult"?{...n,content:y(n.content,M)}:n)}function O(a,t,n){const l=new Map,m=C(a,t).map(r=>{if(r.role==="user")return r;if(r.role==="toolResult"){const e=l.get(r.toolCallId);return e&&e!==r.toolCallId?{...r,toolCallId:e}:r}if(r.role==="assistant"){const e=r,i=e.provider===t.provider&&e.api===t.api&&e.model===t.id,g=e.content.flatMap(o=>{if(o.type==="thinking")return o.redacted?i?o:[]:i&&o.thinkingSignature?o:!o.thinking||o.thinking.trim()===""?[]:i?o:{type:"text",text:o.thinking};if(o.type==="text")return i?o:{type:"text",text:o.text};if(o.type==="toolCall"){const c=o;let p=c;if(!i&&c.thoughtSignature&&(p={...c},delete p.thoughtSignature),!i&&n){const x=n(c.id,t,e);x!==c.id&&(l.set(c.id,x),p={...p,id:x})}return p}return o});return{...e,content:g}}return r}),u=[];let f=[],s=new Set;const d=()=>{if(f.length>0){for(const r of f)s.has(r.id)||u.push({role:"toolResult",toolCallId:r.id,toolName:r.name,content:[{type:"text",text:"No result provided"}],isError:!0,timestamp:Date.now()});f=[],s=new Set}};for(let r=0;r<m.length;r++){const e=m[r];if(e.role==="assistant"){d();const i=e;if(i.stopReason==="error"||i.stopReason==="aborted")continue;const g=i.content.filter(o=>o.type==="toolCall");g.length>0&&(f=g,s=new Set),u.push(e)}else e.role==="toolResult"?(s.add(e.toolCallId),u.push(e)):(e.role==="user"&&d(),u.push(e))}return d(),u}export{S as a,w as b,O as t};

index.html

@@ -1,19 +1,55 @@
 <!doctype html>
-<html>
-	<head>
-		<meta charset="utf-8" />
-		<meta name="viewport" content="width=device-width" />
-		<title>My static Space</title>
-		<link rel="stylesheet" href="style.css" />
-	</head>
-	<body>
-		<div class="card">
-			<h1>Welcome to your static Space!</h1>
-			<p>You can modify this app directly by editing <i>index.html</i> in the Files and versions tab.</p>
-			<p>
-				Also don't forget to check the
-				<a href="https://huggingface.co/docs/hub/spaces" target="_blank">Spaces documentation</a>.
-			</p>
-		</div>
-	</body>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>Pi CLI Web</title>
+    <script type="module" crossorigin src="/assets/index-CB_zB4U3.js"></script>
+    <link rel="stylesheet" crossorigin href="/assets/index-NRwwiW4N.css">
+  </head>
+  <body>
+    <main id="app">
+      <header class="runtime-bar" aria-label="Runtime status">
+        <div>
+          <h1>pi</h1>
+          <p id="model-label"></p>
+        </div>
+        <div class="status-stack">
+          <span class="status" id="status">Idle</span>
+          <span class="status" id="model-status">Model idle</span>
+          <span class="status" id="sandbox-status">Sandbox idle</span>
+        </div>
+      </header>
+
+      <section class="terminal-shell" aria-label="Pi terminal">
+        <div id="terminal"></div>
+      </section>
+
+      <section class="model-gate" id="model-gate" aria-labelledby="model-gate-title" aria-modal="true" role="dialog">
+        <div class="model-dialog">
+          <div>
+            <p class="eyebrow">Local model setup</p>
+            <h2 id="model-gate-title">Download the selected model to this browser?</h2>
+            <p class="dialog-copy">
+              This static web port runs pi with Transformers.js and WebContainers. The model download stays in browser storage when possible.
+            </p>
+          </div>
+          <div class="dialog-actions">
+            <button id="confirm-load-model" type="button">Download Model</button>
+            <button id="use-test-model" type="button">Use Test Model</button>
+          </div>
+          <div class="dialog-options">
+            <label>
+              Device
+              <select id="gate-device">
+                <option value="webgpu">WebGPU</option>
+                <option value="wasm">WASM</option>
+              </select>
+            </label>
+            <p id="gate-status">Ready.</p>
+          </div>
+        </div>
+      </section>
+    </main>
+  </body>
 </html>

style.css

@@ -1,28 +0,0 @@
-body {
-	padding: 2rem;
-	font-family: -apple-system, BlinkMacSystemFont, "Arial", sans-serif;
-}
-
-h1 {
-	font-size: 16px;
-	margin-top: 0;
-}
-
-p {
-	color: rgb(107, 114, 128);
-	font-size: 15px;
-	margin-bottom: 10px;
-	margin-top: 5px;
-}
-
-.card {
-	max-width: 620px;
-	margin: 0 auto;
-	padding: 16px;
-	border: 1px solid lightgray;
-	border-radius: 16px;
-}
-
-.card p:last-child {
-	margin-bottom: 0;
-}