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+// language-inference-engine.js
+// Language Inference Engine (e.g., NLP, LLM) services integration
+// Namhyeon Go <abuse@catswords.net>
+// https://github.com/gnh1201/welsonjs
+
+// ***SECURITY NOTICE***
+// Language Inference Engine requires an internet connection, and data may be transmitted externally. Users must adhere to the terms of use and privacy policy.
+// - OpenAI: https://openai.com/policies/row-privacy-policy/
+// - Anthropic: https://www.anthropic.com/legal/privacy
+// - Groq: https://groq.com/privacy-policy/
+// - xAI: https://x.ai/legal/privacy-policy
+// - DeepSeek: https://chat.deepseek.com/downloads/DeepSeek%20Privacy%20Policy.html
+//
+var HTTP = require("lib/http");
+var CRED = require("lib/credentials");
+
+var biasMessage = "Write all future code examples in JavaScript ES3 using the exports variable. " +
+    "Include a test method with the fixed name test. " +
+    "Respond exclusively in code without blocks.";
+
+var engineProfiles = {
+    "openai": {
+        "headers": {
+            "Content-Type": "application/json",
+            "Authorization": "Bearer {apikey}"
+        },
+        "url": "https://api.openai.com/v1/chat/completions",
+        "wrap": function(model, message) {
+            return {
+                "model": model,
+                "messages": [{
+                    "role": "developer",
+                    "content": biasMessage
+                }, {
+                    "role": "user",
+                    "content": message
+                }]
+            };
+        },
+        "callback": function(response) {
+            if ("error" in response) {
+                return ["Error: " + response.error.message];
+            } else {
+                return response.choices.reduce(function(a, x) {
+                    a.push(x.message.content);
+                    return a;
+                }, []);
+            }
+        }
+    },
+    "anthropic": {
+        "headers": {
+            "Content-Type": "application/json",
+            "x-api-key": "{apikey}",
+            "anthropic-version": "2023-06-01"
+        },
+        "url": "https://api.anthropic.com/v1/messages",
+        "wrap": function(model, message) {
+            return {
+                "model": model,
+                "max_tokens": 1024,
+                "messages": [
+                    {
+                        "role": "system",
+                        "content": biasMessage
+                    },
+                    {
+                        "role": "user",
+                        "content": message
+                    }
+                ]
+            };
+        },
+        "callback": function(response) {
+            if ("error" in response) {
+                return ["Error: " + response.error.message];
+            } else {
+                return response.content.reduce(function(a, x) {
+                    if (x.type == "text") {
+                        a.push(x.text);
+                    } else {
+                        a.push("Not supported type: " + x.type);
+                    }
+                    return a;
+                }, []);
+            }
+        }
+    },
+    "groq": {
+        "headers": {
+            "Content-Type": "application/json",
+            "Authorization": "Bearer {apikey}"
+        },
+        "url": "https://api.groq.com/openai/v1/chat/completions",
+        "wrap": function(model, message) {
+            return {
+                "model": model,
+                "messages": [
+                    {
+                        "role": "system",
+                        "content": biasMessage
+                    },
+                    {
+                        "role": "user",
+                        "content": message
+                    }
+                ]
+            };
+        },
+        "callback": function(response) {
+            if ("error" in response) {
+                return ["Error: " + response.error.message];
+            } else {
+                return response.choices.reduce(function(a, x) {
+                    a.push(x.message.content);
+                    return a;
+                }, []);
+            }
+        }
+    },
+    "xai": {
+        "headers": {
+            "Content-Type": "application/json",
+            "Authorization": "Bearer {apikey}"
+        },
+        "url": "https://api.x.ai/v1/chat/completions",
+        "wrap": function(model, message) {
+            return {
+                "messages": [
+                    {
+                        "role": "system",
+                        "content": biasMessage
+                    },
+                    {
+                        "role": "user",
+                        "content": message
+                    }
+                ],
+                "model": model
+            }
+        },
+        "callback": function(response) {
+            return response.choices.reduce(function(a, x) {
+                a.push(x.message.content);
+                return a;
+            }, []);
+        }
+    },
+    "deepseek": {
+        "headers": {
+            "Content-Type": "application/json",
+            "Authorization": "Bearer {apikey}"
+        },
+        "url": "https://api.deepseek.com/chat/completions",
+        "wrap": function(model, message) {
+            "model": model,
+            "messages": [
+                {
+                    "role": "system",
+                    "content": biasMessage
+                },
+                {
+                    "role": "user",
+                    "content": message
+                }
+            ],
+            "stream": false
+        }
+    },
+    "callback": function(response) {
+        if ("error" in response) {
+            return ["Error: " + response.error.message];
+        } else {
+            return response.choices.reduce(function(a, x) {
+                a.push(x.message.content);
+                return a;
+            }, []);
+        }
+    }
+};
+
+function LanguageInferenceEngine() {
+    this.type = "llm"; // e.g. legacy (Legacy NLP), llm (LLM)
+    this.provider = "";
+    this.engineProfile = null;
+
+    this.setProvider = function(provider) {
+        this.provider = provider;
+
+        if (provider in engineProfiles) {
+            this.engineProfile = engineProfiles[provider];
+        }
+
+        return this;
+    };
+
+    this.setModel = function(model) {
+        this.model = model;
+
+        return this;
+    };
+
+    this.setEngineProfileURL = function(url) {
+        if (this.engineProfile == null)
+            return this;
+
+        this.engineProfile.url = url;
+
+        return this;
+    }
+
+    this.inference = function(message) {
+        if (this.engineProfile == null)
+            return this;
+
+        var apikey = CRED.get("apikey", this.provider); // Get API key
+        var headers = this.engineProfile.headers;
+        var wrap = this.engineProfile.wrap;
+        var url = this.engineProfile.url;
+        var callback = this.engineProfile.callback;
+
+        return callback(
+            HTTP.create("MSXML")
+            .setVariables({
+                "apikey": apikey
+            })
+            .setHeaders(headers)
+            .setRequestBody(wrap(message))
+            .open("post", url)
+            .send()
+            .responseBody
+        );
+    };
+}
+
+exports.LanguageInferenceEngine = LanguageInferenceEngine;
+exports.create = function() {
+    return new LanguageInferenceEngine();
+};
+
+exports.VERSIONINFO = "Language Inference Engine (NLP/LLM) integration version 0.1";
+exports.AUTHOR = "abuse@catswords.net";
+exports.global = global;
+exports.require = global.require;