50f0b83fcd
Add new LinkedIn prospect discovery tool with three main components: - c4ai_discover.py for company and people scraping - c4ai_insights.py for org chart and decision maker analysis - Interactive graph visualization with company/people exploration Features include: - Configurable LinkedIn search and scraping - Org chart generation with decision maker scoring - Interactive network graph visualization - Company similarity analysis - Chat interface for data exploration Requires: crawl4ai, openai, sentence-transformers, networkx
50 lines
1.6 KiB
JavaScript
50 lines
1.6 KiB
JavaScript
// ==== File: ai.js ====
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class ApiHandler {
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constructor(apiKey = null) {
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this.apiKey = apiKey || localStorage.getItem("openai_api_key") || "";
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console.log("ApiHandler ready");
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}
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setApiKey(k) {
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this.apiKey = k.trim();
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if (this.apiKey) localStorage.setItem("openai_api_key", this.apiKey);
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}
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async *chatStream(messages, {model = "gpt-4o", temperature = 0.7} = {}) {
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if (!this.apiKey) throw new Error("OpenAI API key missing");
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const payload = {model, messages, stream: true, max_tokens: 1024};
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const controller = new AbortController();
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const res = await fetch("https://api.openai.com/v1/chat/completions", {
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method: "POST",
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headers: {
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"Content-Type": "application/json",
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Authorization: `Bearer ${this.apiKey}`,
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},
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body: JSON.stringify(payload),
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signal: controller.signal,
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});
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if (!res.ok) throw new Error(`OpenAI: ${res.statusText}`);
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const reader = res.body.getReader();
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const dec = new TextDecoder();
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let buf = "";
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while (true) {
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const {done, value} = await reader.read();
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if (done) break;
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buf += dec.decode(value, {stream: true});
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for (const line of buf.split("\n")) {
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if (!line.startsWith("data: ")) continue;
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if (line.includes("[DONE]")) return;
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const json = JSON.parse(line.slice(6));
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const delta = json.choices?.[0]?.delta?.content;
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if (delta) yield delta;
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}
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buf = buf.endsWith("\n") ? "" : buf; // keep partial line
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}
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}
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}
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window.API = new ApiHandler();
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