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more openAI compatibility, tools support etc. #12
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,2 +1,4 @@ | ||
| node_modules | ||
| out | ||
| .venv | ||
| .DS_Store |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,23 @@ | ||
| __pycache__ | ||
| .DS_Store | ||
| .git | ||
| .github | ||
| .gitignore | ||
| .venv | ||
| .vscode-test/** | ||
| .vscode/** | ||
| .yarnrc | ||
| *.pyc | ||
| *.vsix | ||
| **/.eslintrc.json | ||
| **/*.map | ||
| **/*.ts | ||
| **/tsconfig.json | ||
| !node_modules/** | ||
| scripts/** | ||
| src/** | ||
| tests/** | ||
| docs/** | ||
| eslint.config.js | ||
| .prettierignore | ||
| client/** |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,22 @@ | ||
| AI Chat Web UI | ||
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| Run a minimal Flask server that serves a single-page chat UI and proxies requests to your local AI API. | ||
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| Setup | ||
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| 1. Create a virtualenv and install requirements: | ||
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| python -m venv .venv | ||
| . .venv/bin/activate || . .\.venv\Scripts\Activate.ps1 | ||
| pip install -r requirements-web.txt | ||
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| 2. Start the server (optionally check and change API_BASE to your API endpoint): | ||
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| python server.py | ||
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| 3. Open http://localhost:8080 in your browser. | ||
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| Notes | ||
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| - The UI posts to /api/chat and expects the API at ${API_BASE}/chat/completions. | ||
| - The model selector will send the chosen model name in the request body. |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,62 @@ | ||
| import json | ||
| import os | ||
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| import requests | ||
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| API_BASE = os.environ.get('API_BASE', 'http://localhost:3000/v1') | ||
| MODEL = os.environ.get('MODEL', 'gpt-4o') | ||
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| def call_stream(): | ||
| url = f"{API_BASE}/chat/completions" | ||
| payload = { | ||
| "model": MODEL, | ||
| "messages": [ | ||
| { | ||
| "role": "user", | ||
| "content": "Hello! Can you introduce yourself briefly?" | ||
| } | ||
| ], | ||
| "stream": True | ||
| } | ||
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| with requests.post(url, json=payload, stream=True, timeout=30) as resp: | ||
| try: | ||
| resp.raise_for_status() | ||
| except requests.HTTPError: | ||
| print(f"HTTP Error {resp.status_code}: {resp.text}") | ||
| return | ||
| buffer = "" | ||
| for raw_line in resp.iter_lines(decode_unicode=True): | ||
| if raw_line is None: | ||
| continue | ||
| line = raw_line.strip() | ||
| if not line: | ||
| # empty line => end of one SSE event, process buffer | ||
| if buffer: | ||
| try: | ||
| # some servers produce lines like "data: {...}" | ||
| data_line = buffer | ||
| if data_line.startswith("data:"): | ||
| data_line = data_line[len("data:"):].strip() | ||
| if data_line and data_line != "[DONE]": | ||
| obj = json.loads(data_line) | ||
| choices = obj.get("choices", []) | ||
| if choices: | ||
| fragment = choices[0].get("delta", {}).get("content", "") | ||
| if fragment: | ||
| print(fragment, end="", flush=True) | ||
| except json.JSONDecodeError: | ||
| # ignore lines that are not JSON | ||
| pass | ||
| buffer = "" | ||
| # accumulate lines for this event | ||
| # Many SSE streams send each event as a single "data: <json>" line, | ||
| # but some may split fragments across multiple "data:" lines. | ||
| elif line.startswith("data:"): | ||
| # append JSON after "data:" | ||
| buffer += (line + "\n") | ||
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| print("\n\nStream finished.") | ||
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| if __name__ == "__main__": | ||
| call_stream() |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,2 @@ | ||
| Flask>=2.0 | ||
| requests>=2.25 |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,53 @@ | ||
| import os | ||
| import requests | ||
| from flask import Flask, jsonify, request, send_from_directory | ||
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| app = Flask(__name__, static_folder='web', static_url_path='/static') | ||
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| # Configurable API base | ||
| API_BASE = os.environ.get('API_BASE', 'http://localhost:3000/v1') | ||
| PORT = int(os.environ.get('PORT', '8080')) | ||
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| # Headers that should not be forwarded from upstream | ||
| HOP_BY_HOP_HEADERS = frozenset([ | ||
| 'transfer-encoding', 'connection', 'keep-alive', | ||
| 'proxy-authenticate', 'proxy-authorization', 'te', | ||
| 'trailers', 'upgrade', 'content-encoding', 'content-length' | ||
| ]) | ||
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| def filter_headers(headers): | ||
| """Filter out hop-by-hop headers from upstream response.""" | ||
| return [(k, v) for k, v in headers if k.lower() not in HOP_BY_HOP_HEADERS] | ||
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| @app.route('/') | ||
| def index(): | ||
| return send_from_directory('web', 'index.html') | ||
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| @app.route('/api/chat', methods=['POST']) | ||
| def api_chat(): | ||
| payload = request.get_json(force=True) | ||
| # forward to the underlying API | ||
| url = f"{API_BASE}/chat/completions" | ||
| try: | ||
| resp = requests.post(url, json=payload, timeout=60) | ||
| except requests.RequestException as e: | ||
| return jsonify({'error':'upstream request failed', 'details': str(e)}), 502 | ||
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| return (resp.content, resp.status_code, filter_headers(resp.headers.items())) | ||
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| @app.route('/api/models', methods=['GET']) | ||
| def api_models(): | ||
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| """Fetch available models from upstream API and return them.""" | ||
| url = f"{API_BASE}/models" | ||
| try: | ||
| resp = requests.get(url, timeout=20) | ||
| except requests.RequestException as e: | ||
| return jsonify({'error':'upstream request failed', 'details': str(e)}), 502 | ||
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| return (resp.content, resp.status_code, filter_headers(resp.headers.items())) | ||
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| if __name__ == '__main__': | ||
| port = PORT | ||
| debug = os.environ.get('FLASK_DEBUG', 'false').lower() == 'true' | ||
| app.run(host='127.0.0.1', port=port, debug=debug) | ||
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| Original file line number | Diff line number | Diff line change | ||||
|---|---|---|---|---|---|---|
| @@ -0,0 +1,163 @@ | ||||||
| const form = document.getElementById('chat-form'); | ||||||
| const promptEl = document.getElementById('prompt'); | ||||||
| const messagesEl = document.getElementById('messages'); | ||||||
| const modelSel = document.getElementById('model'); | ||||||
| const newChatBtn = document.getElementById('new-chat'); | ||||||
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| // persistent conversation stored in localStorage | ||||||
| const STORAGE_KEY = 'ai_chat_messages_v1'; | ||||||
| let messages = []; | ||||||
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| function loadMessages(){ | ||||||
| try{ messages = JSON.parse(localStorage.getItem(STORAGE_KEY) || '[]'); }catch(e){ messages = []; } | ||||||
| } | ||||||
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| function saveMessages(){ | ||||||
| try{ localStorage.setItem(STORAGE_KEY, JSON.stringify(messages)); }catch(e){/* ignore */} | ||||||
| } | ||||||
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| function renderMessages(){ | ||||||
| messagesEl.innerHTML = ''; | ||||||
| for(const m of messages){ | ||||||
| const d = document.createElement('div'); | ||||||
| d.className = 'msg ' + (m.role === 'user' ? 'user' : 'ai'); | ||||||
| d.textContent = m.content; | ||||||
| messagesEl.appendChild(d); | ||||||
| } | ||||||
| messagesEl.scrollTop = messagesEl.scrollHeight; | ||||||
| } | ||||||
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| loadMessages(); | ||||||
| renderMessages(); | ||||||
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| // load available models from server and populate selector | ||||||
| async function loadModels(){ | ||||||
| try{ | ||||||
| const resp = await fetch('/api/models'); | ||||||
| if(!resp.ok) throw new Error('Failed to fetch models'); | ||||||
| const json = await resp.json(); | ||||||
| let list = []; | ||||||
| if(Array.isArray(json)) list = json; | ||||||
| else if(Array.isArray(json.data)) list = json.data; | ||||||
| else if(Array.isArray(json.models)) list = json.models; | ||||||
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| // normalize to strings | ||||||
| const opts = list.map(it => { | ||||||
| if(typeof it === 'string') return it; | ||||||
| return it.id || it.name || it.model || JSON.stringify(it); | ||||||
| }).filter(Boolean); | ||||||
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| modelSel.innerHTML = ''; | ||||||
| if(opts.length){ | ||||||
| for(const id of opts){ | ||||||
| const o = document.createElement('option'); | ||||||
| o.value = id; o.textContent = id; | ||||||
| modelSel.appendChild(o); | ||||||
| } | ||||||
| // restore previously selected model if any | ||||||
| const saved = localStorage.getItem('ai_chat_selected_model'); | ||||||
| if(saved) modelSel.value = saved; | ||||||
| }else{ | ||||||
| throw new Error('no models'); | ||||||
| } | ||||||
| }catch(err){ | ||||||
| // fallback set | ||||||
| modelSel.innerHTML = ''; | ||||||
| ['gpt-5-mini','gpt-4o-mini','gpt-4o'].forEach(v=>{ | ||||||
| const o = document.createElement('option'); o.value=v; o.textContent=v; modelSel.appendChild(o); | ||||||
| }); | ||||||
| console.warn('Could not load models, using fallback', err); | ||||||
| } | ||||||
| } | ||||||
|
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| modelSel.addEventListener('change', ()=>{ | ||||||
| try{ localStorage.setItem('ai_chat_selected_model', modelSel.value); }catch(e){} | ||||||
| }); | ||||||
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| loadModels(); | ||||||
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| // New chat button clears conversation | ||||||
| if(newChatBtn){ | ||||||
| newChatBtn.addEventListener('click', ()=>{ | ||||||
| messages = []; | ||||||
| saveMessages(); | ||||||
| renderMessages(); | ||||||
| promptEl.focus(); | ||||||
| }); | ||||||
| } | ||||||
|
|
||||||
| // Enter to send (Shift+Enter inserts newline) | ||||||
| promptEl.addEventListener('keydown', (e)=>{ | ||||||
| if(e.key === 'Enter' && !e.shiftKey){ | ||||||
| e.preventDefault(); | ||||||
| if(typeof form.requestSubmit === 'function') form.requestSubmit(); | ||||||
| else form.dispatchEvent(new Event('submit', {cancelable:true})); | ||||||
| } | ||||||
| }); | ||||||
|
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| form.addEventListener('submit', async (e)=>{ | ||||||
| e.preventDefault(); | ||||||
| const prompt = promptEl.value.trim(); | ||||||
| if(!prompt) return; | ||||||
|
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| // Disable form during request | ||||||
| const submitBtn = form.querySelector('button[type="submit"]'); | ||||||
| if(submitBtn) submitBtn.disabled = true; | ||||||
| promptEl.disabled = true; | ||||||
|
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| // add user message to conversation | ||||||
| messages.push({role:'user', content: prompt}); | ||||||
| saveMessages(); | ||||||
| renderMessages(); | ||||||
| promptEl.value = ''; | ||||||
|
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| // add temporary assistant placeholder (only for display, not sent to API) | ||||||
| messages.push({role:'assistant', content: '...'}); | ||||||
| saveMessages(); | ||||||
| renderMessages(); | ||||||
|
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| // Build messages to send (exclude the placeholder) | ||||||
| const messagesToSend = messages.slice(0, -1); | ||||||
|
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||||||
| try{ | ||||||
| const resp = await fetch('/api/chat', { | ||||||
| method: 'POST', | ||||||
| headers: {'Content-Type':'application/json'}, | ||||||
| body: JSON.stringify({ model: modelSel.value, messages: messagesToSend }) | ||||||
| }); | ||||||
| if(!resp.ok){ | ||||||
| const txt = await resp.text(); | ||||||
| // replace last assistant placeholder with error | ||||||
| messages[messages.length-1].content = `Error: ${resp.status} ${txt}`; | ||||||
| saveMessages(); | ||||||
| renderMessages(); | ||||||
| return; | ||||||
| } | ||||||
|
|
||||||
| const data = await resp.json(); | ||||||
| // extract assistant content from common API shapes | ||||||
| let content = ''; | ||||||
| try{ | ||||||
| const choices = data.choices || []; | ||||||
| if(choices.length && choices[0].message) content = choices[0].message.content || ''; | ||||||
| else if(choices.length && choices[0].delta) content = choices.map(c=>c.delta?.content||'').join(''); | ||||||
| else if(data.text) content = data.text; | ||||||
| else content = JSON.stringify(data); | ||||||
| }catch(e){ content = JSON.stringify(data) } | ||||||
|
||||||
| }catch(e){ content = JSON.stringify(data) } | |
| }catch(e){ content = JSON.stringify(data); } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,30 @@ | ||
| <!doctype html> | ||
| <html lang="en"> | ||
| <head> | ||
| <meta charset="utf-8" /> | ||
| <meta name="viewport" content="width=device-width,initial-scale=1" /> | ||
| <title>AI Chat</title> | ||
| <link rel="stylesheet" href="/static/styles.css"> | ||
| </head> | ||
| <body> | ||
| <main class="chat-root"> | ||
| <header> | ||
| <h1>AI Chat</h1> | ||
| <label for="model">Model:</label> | ||
| <select id="model"> | ||
| <option>Loading models...</option> | ||
| </select> | ||
| <button id="new-chat" class="new-chat" title="Start a new conversation">New Chat</button> | ||
| </header> | ||
|
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| <section id="messages" class="messages"></section> | ||
|
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| <form id="chat-form" class="chat-form"> | ||
| <textarea id="prompt" placeholder="Type your message..." rows="2"></textarea> | ||
| <button type="submit">Send</button> | ||
| </form> | ||
| </main> | ||
|
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| <script src="/static/app.js"></script> | ||
| </body> | ||
| </html> |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,24 @@ | ||
| :root{ | ||
| --bg:#0f1720; | ||
| --panel:#0b1320; | ||
| --muted:#9aa4b2; | ||
| --accent:#3b82f6; | ||
| --text:#e6eef6; | ||
| } | ||
| *{box-sizing:border-box} | ||
| body{font-family:Inter,system-ui,Segoe UI,Roboto,Arial;background:var(--bg);color:var(--text);margin:0;min-height:100vh;display:flex;align-items:center;justify-content:center} | ||
| .chat-root{width:720px;max-width:96vw;height:80vh;background:linear-gradient(180deg,#081223,#071827);border-radius:12px;padding:16px;display:flex;flex-direction:column;gap:12px;box-shadow:0 6px 30px rgba(0,0,0,.6)} | ||
| header{display:flex;align-items:center;gap:12px} | ||
| header h1{margin:0;font-size:1.1rem} | ||
| select{background:transparent;color:var(--text);border:1px solid rgba(255,255,255,0.06);padding:6px;border-radius:6px} | ||
| .new-chat{margin-left:auto;background:transparent;border:1px solid rgba(255,255,255,0.06);color:var(--text);padding:6px 10px;border-radius:6px;cursor:pointer} | ||
| .new-chat:hover{background:rgba(255,255,255,0.02)} | ||
| .messages{flex:1;overflow:auto;padding:8px;border-radius:8px;background:rgba(255,255,255,0.02);display:flex;flex-direction:column;gap:8px} | ||
| .msg{padding:10px;border-radius:8px;max-width:80%;line-height:1.35;word-break:break-word} | ||
| .msg.user{background:linear-gradient(90deg,#0f1720,#102133);align-self:flex-end;border:1px solid rgba(255,255,255,0.03)} | ||
| .msg.ai{background:linear-gradient(90deg,#021224,#042133);align-self:flex-start;border:1px solid rgba(255,255,255,0.03)} | ||
| .chat-form{display:flex;gap:8px} | ||
| textarea{flex:1;padding:10px;border-radius:8px;border:1px solid rgba(255,255,255,0.04);background:transparent;color:var(--text);resize:none} | ||
| button{background:var(--accent);border:none;color:white;padding:10px 14px;border-radius:8px;cursor:pointer} | ||
| button:disabled{opacity:0.5;cursor:not-allowed} | ||
| textarea:focus-visible,select:focus-visible,button:focus-visible{outline:2px solid var(--accent);outline-offset:2px} |
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api_chat returns tuple of size 2 and tuple of size 3.