Agents: CRUD, DB table, session binding, replace model picker
- agents table with name, avatar, description, model, persona, instructions, soft-delete - AgentEndpoint (GET/POST/PUT/DELETE /api/agents) - sessions + chains now reference agent_id - ChatEndpoint resolves agent from session (no agent = no chat) - system prompt built from agent persona + instructions - frontend: agent editor with avatar upload, agent cards on dashboard - session: agent dropdown replaces model picker, choice persisted
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@@ -21,7 +21,6 @@ async function clearChat() {
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async function sendMessage() {
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const input = $('#input');
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const btn = $('#send');
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const model = $('#model').value;
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const systemPrompt = $('#systemPrompt').value.trim();
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const text = input.value.trim();
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if (!text) return;
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@@ -39,7 +38,7 @@ async function sendMessage() {
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let currentToolBox = null;
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try {
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const resp = await apiChat(model, messages, systemPrompt, getCurrentSessionId());
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const resp = await apiChat(messages, systemPrompt, getCurrentSessionId());
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const reader = resp.body.getReader();
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const decoder = new TextDecoder();
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let buffer = '';
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@@ -92,7 +91,7 @@ async function sendMessage() {
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case 'done':
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endStreamBubble();
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let meta = `Model: ${data.model || model} | In: ${data.inputTokens || 0} | Out: ${data.outputTokens || 0}`;
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let meta = `Model: ${data.model || '?'} | In: ${data.inputTokens || 0} | Out: ${data.outputTokens || 0}`;
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if (data.iterations > 1) meta += ` | Iterations: ${data.iterations}`;
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if (data.durationMs) meta += ` | ${(data.durationMs / 1000).toFixed(1)}s`;
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setMeta(meta);
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