opensource

Jerald Lim
Showing 5 changed files with 453 additions and 301 deletions
client/package-lock.json
client/src/App.js
env-template
index.js
package-lock.json
--- a/client/package-lock.json
View file @296bbfa
+++ b/client/package-lock.json
View file @296bbfa
@@ -2237,6 +2237,21 @@
        "url": "https://opencollective.com/eslint"
      }
    },
+    "node_modules/@eslint/eslintrc/node_modules/ajv": {
+      "version": "6.12.6",
+      "resolved": "https://registry.npmjs.org/ajv/-/ajv-6.12.6.tgz",
+      "integrity": "sha512-j3fVLgvTo527anyYyJOGTYJbG+vnnQYvE0m5mmkc1TK+nxAppkCLMIL0aZ4dblVCNoGShhm+kzE4ZUykBoMg4g==",
+      "dependencies": {
+        "fast-deep-equal": "^3.1.1",
+        "fast-json-stable-stringify": "^2.0.0",
+        "json-schema-traverse": "^0.4.1",
+        "uri-js": "^4.2.2"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/epoberezkin"
+      }
+    },
    "node_modules/@eslint/eslintrc/node_modules/argparse": {
      "version": "2.0.1",
      "resolved": "https://registry.npmjs.org/argparse/-/argparse-2.0.1.tgz",
@@ -2267,6 +2282,11 @@
        "js-yaml": "bin/js-yaml.js"
      }
    },
+    "node_modules/@eslint/eslintrc/node_modules/json-schema-traverse": {
+      "version": "0.4.1",
+      "resolved": "https://registry.npmjs.org/json-schema-traverse/-/json-schema-traverse-0.4.1.tgz",
+      "integrity": "sha512-xbbCH5dCYU5T8LcEhhuh7HJ88HXuW3qsI3Y0zOZFKfZEHcpWiHU/Jxzk629Brsab/mMiHQti9wMP+845RPe3Vg=="
+    },
    "node_modules/@humanwhocodes/config-array": {
      "version": "0.11.8",
      "resolved": "https://registry.npmjs.org/@humanwhocodes/config-array/-/config-array-0.11.8.tgz",
@@ -4746,13 +4766,13 @@
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    },
    "node_modules/ajv": {
-      "version": "6.12.6",
+      "version": "8.12.0",
-      "resolved": "https://registry.npmjs.org/ajv/-/ajv-6.12.6.tgz",
+      "resolved": "https://registry.npmjs.org/ajv/-/ajv-8.12.0.tgz",
-      "integrity": "sha512-j3fVLgvTo527anyYyJOGTYJbG+vnnQYvE0m5mmkc1TK+nxAppkCLMIL0aZ4dblVCNoGShhm+kzE4ZUykBoMg4g==",
+      "integrity": "sha512-sRu1kpcO9yLtYxBKvqfTeh9KzZEwO3STyX1HT+4CaDzC6HpTGYhIhPIzj9XuKU7KYDwnaeh5hcOwjy1QuJzBPA==",
      "dependencies": {
        "fast-deep-equal": "^3.1.1",
-        "fast-json-stable-stringify": "^2.0.0",
+        "json-schema-traverse": "^1.0.0",
-        "json-schema-traverse": "^0.4.1",
+        "require-from-string": "^2.0.2",
        "uri-js": "^4.2.2"
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@@ -4776,34 +4796,6 @@
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-        "json-schema-traverse": "^1.0.0",
-        "require-from-string": "^2.0.2",
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-      },
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/epoberezkin"
-      }
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-    "node_modules/ajv-formats/node_modules/json-schema-traverse": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/json-schema-traverse/-/json-schema-traverse-1.0.0.tgz",
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-      "resolved": "https://registry.npmjs.org/ajv-keywords/-/ajv-keywords-3.5.2.tgz",
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    "node_modules/ansi-escapes": {
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@@ -5154,6 +5146,34 @@
        "webpack": ">=2"
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    },
+    "node_modules/babel-loader/node_modules/ajv": {
+      "version": "6.12.6",
+      "resolved": "https://registry.npmjs.org/ajv/-/ajv-6.12.6.tgz",
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+      "dependencies": {
+        "fast-deep-equal": "^3.1.1",
+        "fast-json-stable-stringify": "^2.0.0",
+        "json-schema-traverse": "^0.4.1",
+        "uri-js": "^4.2.2"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/epoberezkin"
+      }
+    },
+    "node_modules/babel-loader/node_modules/ajv-keywords": {
+      "version": "3.5.2",
+      "resolved": "https://registry.npmjs.org/ajv-keywords/-/ajv-keywords-3.5.2.tgz",
+      "integrity": "sha512-5p6WTN0DdTGVQk6VjcEju19IgaHudalcfabD7yhDGeA6bcQnmL+CpveLJq/3hvfwd1aof6L386Ougkx6RfyMIQ==",
+      "peerDependencies": {
+        "ajv": "^6.9.1"
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+    },
+    "node_modules/babel-loader/node_modules/json-schema-traverse": {
+      "version": "0.4.1",
+      "resolved": "https://registry.npmjs.org/json-schema-traverse/-/json-schema-traverse-0.4.1.tgz",
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+    },
    "node_modules/babel-loader/node_modules/schema-utils": {
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      "resolved": "https://registry.npmjs.org/schema-utils/-/schema-utils-2.7.1.tgz",
@@ -6152,21 +6172,6 @@
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-    "node_modules/css-minimizer-webpack-plugin/node_modules/ajv": {
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-      "resolved": "https://registry.npmjs.org/ajv/-/ajv-8.12.0.tgz",
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-        "json-schema-traverse": "^1.0.0",
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-      },
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/epoberezkin"
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@@ -6178,11 +6183,6 @@
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-    "node_modules/css-minimizer-webpack-plugin/node_modules/json-schema-traverse": {
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@@ -7533,21 +7533,6 @@
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-    "node_modules/eslint-webpack-plugin/node_modules/ajv": {
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-      "resolved": "https://registry.npmjs.org/ajv/-/ajv-8.12.0.tgz",
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-        "type": "github",
-        "url": "https://github.com/sponsors/epoberezkin"
-      }
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@@ -7572,11 +7557,6 @@
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-    "node_modules/eslint-webpack-plugin/node_modules/json-schema-traverse": {
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@@ -7609,6 +7589,21 @@
        "url": "https://github.com/chalk/supports-color?sponsor=1"
      }
    },
+    "node_modules/eslint/node_modules/ajv": {
+      "version": "6.12.6",
+      "resolved": "https://registry.npmjs.org/ajv/-/ajv-6.12.6.tgz",
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+      "dependencies": {
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+        "fast-json-stable-stringify": "^2.0.0",
+        "json-schema-traverse": "^0.4.1",
+        "uri-js": "^4.2.2"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/epoberezkin"
+      }
+    },
    "node_modules/eslint/node_modules/argparse": {
      "version": "2.0.1",
      "resolved": "https://registry.npmjs.org/argparse/-/argparse-2.0.1.tgz",
@@ -7665,6 +7660,11 @@
        "js-yaml": "bin/js-yaml.js"
      }
    },
+    "node_modules/eslint/node_modules/json-schema-traverse": {
+      "version": "0.4.1",
+      "resolved": "https://registry.npmjs.org/json-schema-traverse/-/json-schema-traverse-0.4.1.tgz",
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+    },
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      "resolved": "https://registry.npmjs.org/espree/-/espree-9.4.1.tgz",
@@ -8148,6 +8148,29 @@
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+    "node_modules/fork-ts-checker-webpack-plugin/node_modules/ajv": {
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+      "resolved": "https://registry.npmjs.org/ajv/-/ajv-6.12.6.tgz",
+      "integrity": "sha512-j3fVLgvTo527anyYyJOGTYJbG+vnnQYvE0m5mmkc1TK+nxAppkCLMIL0aZ4dblVCNoGShhm+kzE4ZUykBoMg4g==",
+      "dependencies": {
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+        "fast-json-stable-stringify": "^2.0.0",
+        "json-schema-traverse": "^0.4.1",
+        "uri-js": "^4.2.2"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/epoberezkin"
+      }
+    },
+    "node_modules/fork-ts-checker-webpack-plugin/node_modules/ajv-keywords": {
+      "version": "3.5.2",
+      "resolved": "https://registry.npmjs.org/ajv-keywords/-/ajv-keywords-3.5.2.tgz",
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+      "peerDependencies": {
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+      }
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    "node_modules/fork-ts-checker-webpack-plugin/node_modules/chalk": {
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      "resolved": "https://registry.npmjs.org/chalk/-/chalk-4.1.2.tgz",
@@ -8192,6 +8215,11 @@
        "node": ">=10"
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+    "node_modules/fork-ts-checker-webpack-plugin/node_modules/json-schema-traverse": {
+      "version": "0.4.1",
+      "resolved": "https://registry.npmjs.org/json-schema-traverse/-/json-schema-traverse-0.4.1.tgz",
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@@ -11983,9 +12011,9 @@
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    "node_modules/json-schema-traverse": {
-      "version": "0.4.1",
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-      "resolved": "https://registry.npmjs.org/json-schema-traverse/-/json-schema-traverse-0.4.1.tgz",
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@@ -12373,21 +12401,6 @@
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@@ -12399,11 +12412,6 @@
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@@ -15389,6 +15397,34 @@
        "url": "https://opencollective.com/webpack"
      }
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+    "node_modules/schema-utils/node_modules/ajv": {
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+      "resolved": "https://registry.npmjs.org/ajv/-/ajv-6.12.6.tgz",
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+        "fast-json-stable-stringify": "^2.0.0",
+        "json-schema-traverse": "^0.4.1",
+        "uri-js": "^4.2.2"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/epoberezkin"
+      }
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+    "node_modules/schema-utils/node_modules/ajv-keywords": {
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+      "resolved": "https://registry.npmjs.org/ajv-keywords/-/ajv-keywords-3.5.2.tgz",
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@@ -16473,6 +16509,19 @@
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+      "peer": true,
+      "bin": {
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+        "tsserver": "bin/tsserver"
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@@ -16796,21 +16845,6 @@
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@@ -16822,11 +16856,6 @@
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    "node_modules/webpack-dev-middleware/node_modules/schema-utils": {
      "version": "4.0.0",
      "resolved": "https://registry.npmjs.org/schema-utils/-/schema-utils-4.0.0.tgz",
@@ -16899,21 +16928,6 @@
        }
      }
    },
-    "node_modules/webpack-dev-server/node_modules/ajv": {
-      "version": "8.12.0",
-      "resolved": "https://registry.npmjs.org/ajv/-/ajv-8.12.0.tgz",
-      "integrity": "sha512-sRu1kpcO9yLtYxBKvqfTeh9KzZEwO3STyX1HT+4CaDzC6HpTGYhIhPIzj9XuKU7KYDwnaeh5hcOwjy1QuJzBPA==",
-      "dependencies": {
-        "fast-deep-equal": "^3.1.1",
-        "json-schema-traverse": "^1.0.0",
-        "require-from-string": "^2.0.2",
-        "uri-js": "^4.2.2"
-      },
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/epoberezkin"
-      }
-    },
    "node_modules/webpack-dev-server/node_modules/ajv-keywords": {
      "version": "5.1.0",
      "resolved": "https://registry.npmjs.org/ajv-keywords/-/ajv-keywords-5.1.0.tgz",
@@ -16925,11 +16939,6 @@
        "ajv": "^8.8.2"
      }
    },
-    "node_modules/webpack-dev-server/node_modules/json-schema-traverse": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/json-schema-traverse/-/json-schema-traverse-1.0.0.tgz",
-      "integrity": "sha512-NM8/P9n3XjXhIZn1lLhkFaACTOURQXjWhV4BA/RnOv8xvgqtqpAX9IO4mRQxSx1Rlo4tqzeqb0sOlruaOy3dug=="
-    },
    "node_modules/webpack-dev-server/node_modules/schema-utils": {
      "version": "4.0.0",
      "resolved": "https://registry.npmjs.org/schema-utils/-/schema-utils-4.0.0.tgz",
@@ -17222,21 +17231,6 @@
        "node": ">=10.0.0"
      }
    },
-    "node_modules/workbox-build/node_modules/ajv": {
-      "version": "8.12.0",
-      "resolved": "https://registry.npmjs.org/ajv/-/ajv-8.12.0.tgz",
-      "integrity": "sha512-sRu1kpcO9yLtYxBKvqfTeh9KzZEwO3STyX1HT+4CaDzC6HpTGYhIhPIzj9XuKU7KYDwnaeh5hcOwjy1QuJzBPA==",
-      "dependencies": {
-        "fast-deep-equal": "^3.1.1",
-        "json-schema-traverse": "^1.0.0",
-        "require-from-string": "^2.0.2",
-        "uri-js": "^4.2.2"
-      },
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/epoberezkin"
-      }
-    },
    "node_modules/workbox-build/node_modules/fs-extra": {
      "version": "9.1.0",
      "resolved": "https://registry.npmjs.org/fs-extra/-/fs-extra-9.1.0.tgz",
@@ -17251,11 +17245,6 @@
        "node": ">=10"
      }
    },
-    "node_modules/workbox-build/node_modules/json-schema-traverse": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/json-schema-traverse/-/json-schema-traverse-1.0.0.tgz",
-      "integrity": "sha512-NM8/P9n3XjXhIZn1lLhkFaACTOURQXjWhV4BA/RnOv8xvgqtqpAX9IO4mRQxSx1Rlo4tqzeqb0sOlruaOy3dug=="
-    },
    "node_modules/workbox-build/node_modules/source-map": {
      "version": "0.8.0-beta.0",
      "resolved": "https://registry.npmjs.org/source-map/-/source-map-0.8.0-beta.0.tgz",
--- a/client/src/App.js
View file @296bbfa
+++ b/client/src/App.js
View file @296bbfa
@@ -28,9 +28,12 @@ function App() {
  const [chatLogTurbo, setChatLogTurbo] = useState(defaultChatLogTurbo);
  //
+  const [chatLogOpenSource, setChatLogOpenSource] = useState([]);
  function clearChat(){
    setChatLog([]);
    setChatLogTurbo(defaultChatLogTurbo);
+    setChatLogOpenSource([]);
    setChatInput("");
    setStartedInteraction(false);
  }
@@ -94,12 +97,20 @@ function App() {
    setChatLog(prevChatLog => [...prevChatLog, userMessage]);
    var messages = chatLogNew.map((message) => { if(message.user !== 'me') return message.message }).join("\n")
-    if(currentModel == GPTTurbo || currentModel == GPTTurbo0301) {
+    if(currentModel === GPTTurbo || currentModel === GPTTurbo0301) {
      // "gpt-3.5-turbo"
      let chatLogTurboNew = [...chatLogTurbo, { role: "user", content: chatInput }];
      setChatLogTurbo(chatLogTurboNew);
      messages = JSON.stringify(chatLogTurboNew);
    }
+    if(currentModel === "openchat_3.5-GPTQ" || currentModel === "zephyr-7B-beta-GPTQ") {
+      // "gpt-3.5-turbo"
+      let chatLogOpenSourceNew = [...chatLogOpenSource, { role: "user", content: chatInput }];
+      setChatLogOpenSource(chatLogOpenSourceNew);
+      messages = JSON.stringify(chatLogOpenSourceNew);
+    }
    let intervalId = startInterval();
    try {
      const response = await fetch(process.env.REACT_APP_SERVER_URL + "/api", {
@@ -117,6 +128,7 @@ function App() {
      const parsedData = data.message.trim();
      // "gpt-3.5-turbo"
      let chatLogTurboNew = chatLogTurbo;
+      let chatLogOpenSourceNew = chatLogOpenSource;
      if(data.success === false) {
        setChatLog(prevChatLog => {
          const lastMsg = prevChatLog[prevChatLog.length - 2];
@@ -129,7 +141,11 @@ function App() {
      }
      chatLogTurboNew.push({ role: "user", content: userModifiedInput });
      chatLogTurboNew.push({ role: "assistant", content: parsedData });
+      chatLogOpenSourceNew.push({ role: "user", content: userModifiedInput });
+      chatLogOpenSourceNew.push({ role: "assistant", content: parsedData });
      setChatLogTurbo(chatLogTurboNew);
+      setChatLogOpenSource(chatLogOpenSourceNew);
      //
      clearInterval(intervalId);
      const programmingKeywords = ['code', 'application', 'controller', 'rails' , 'PHP', 'java', 'javascript', 'script', 'console', 'python', 'programming', 'table'];
--- a/env-template
View file @296bbfa
+++ b/env-template
View file @296bbfa
 OPENAI_API_ORG=
-OPENAI_API_KEY=
\ No newline at end of file
+OPENAI_API_KEY=
+OPENSOURCE_MODELS="openchat_3.5-GPTQ,zephyr-7B-beta-GPTQ"
+OPENSOURCE_ENDPOINTS={"openchat_3.5-GPTQ": "https://openchat.llm.ai-pro.org/v1", "zephyr-7B-beta-GPTQ": "https://zephyr.llm.ai-pro.org/v1"}
\ No newline at end of file
--- a/index.js
View file @296bbfa
+++ b/index.js
View file @296bbfa
@@ -49,8 +49,8 @@ const tiktokenModels = [
 // Open AI Configuration
 // console.log(process.env.OPENAI_API_ORG)
 const configuration = new Configuration({
-	organization: process.env.OPENAI_API_ORG,
+  organization: process.env.OPENAI_API_ORG,
-    apiKey: process.env.OPENAI_API_KEY,
+  apiKey: process.env.OPENAI_API_KEY,
 });
 const openai = new OpenAIApi(configuration);
@@ -73,158 +73,235 @@ app.use(rateLimiter)
 // Primary Open AI Route
 app.post('/api', async (req, res) => {
-	const { message, currentModel, temperature } = req.body;
+  const { message, currentModel, temperature } = req.body;
-	if(currentModel == "gpt-3.5-turbo" || currentModel == "gpt-3.5-turbo-0301") {
+  if (currentModel == "gpt-3.5-turbo" || currentModel == "gpt-3.5-turbo-0301") {
-		runGPTTurbo(req,res);
+    runGPTTurbo(req, res);
-		return;
+    return;
-	}
+  }
-	let greetingPrompt = 'Hello, how can I assist you?'
+  if (currentModel == "openchat_3.5-GPTQ" || currentModel == "zephyr-7B-beta-GPTQ") {
-	const greetings = ['hi', 'hello', 'hey']
+    runOpensource(req, res);
-	if (greetings.some((greeting) => message.toLowerCase().includes(greeting))) {
+    return;
-		greetingPrompt = 'Hello, how can I help you today?'
+  }
-	}
-	let query_prompt = `${greetingPrompt}\n${message}`;
+  let greetingPrompt = 'Hello, how can I assist you?'
-	str_length = req.body.message.split(' ').length;
+  const greetings = ['hi', 'hello', 'hey']
-	if (str_length>=800){
+  if (greetings.some((greeting) => message.toLowerCase().includes(greeting))) {
-		arr_body = req.body.message.split("\n");
+    greetingPrompt = 'Hello, how can I help you today?'
-		if (arr_body.length>=4){
+  }
-			var i = arr_body.length-2
+  let query_prompt = `${greetingPrompt}\n${message}`;
-			while (i--) {
+  str_length = req.body.message.split(' ').length;
-		    arr_body.splice(i, 1);
+  if (str_length >= 800) {
-			}
+    arr_body = req.body.message.split("\n");
-			query_prompt = arr_body.join("\n")
+    if (arr_body.length >= 4) {
-		}
+      var i = arr_body.length - 2
-	}
+      while (i--) {
-	const moderation = await axios.post("https://api.openai.com/v1/moderations", {
+        arr_body.splice(i, 1);
+      }
+      query_prompt = arr_body.join("\n")
+    }
+  }
+  const moderation = await axios.post("https://api.openai.com/v1/moderations", {
    input: query_prompt
  }, { headers: { 'content-type': 'application/json', 'Authorization': `Bearer ${process.env.OPENAI_API_KEY}` } });
-	if(moderation.data.results[0].flagged) {
+  if (moderation.data.results[0].flagged) {
-		res.json({
+    res.json({
-			success: false,
+      success: false,
-			message: "I'm sorry, but I can't assist with that. We want everyone to use our tool safely and responsibly.\nIf you have any other questions or need advice on a different topic, feel free to ask."
+      message: "I'm sorry, but I can't assist with that. We want everyone to use our tool safely and responsibly.\nIf you have any other questions or need advice on a different topic, feel free to ask."
-		});
+    });
-		res.end();
+    res.end();
-		return;
+    return;
-	}
+  }
-	try {
+  try {
-		const response = await openai.createCompletion({
+    const response = await openai.createCompletion({
-			model: `${currentModel}`,// "text-davinci-003",
+      model: `${currentModel}`,// "text-davinci-003",
-			prompt: query_prompt,
+      prompt: query_prompt,
-			max_tokens: 3000,
+      max_tokens: 3000,
-			temperature,
+      temperature,
-		  });
+    });
-		let input = response.data.choices[0].text;
+    let input = response.data.choices[0].text;
-		let usage = {};
+    let usage = {};
-		let enc = null;
+    let enc = null;
-		try {
+    try {
-			enc = encodingForModel(tiktokenModels.includes(currentModel) ? currentModel : 'gpt-3.5-turbo');
+      enc = encodingForModel(tiktokenModels.includes(currentModel) ? currentModel : 'gpt-3.5-turbo');
-			usage.prompt_tokens = (enc.encode(query_prompt)).length;
+      usage.prompt_tokens = (enc.encode(query_prompt)).length;
-			usage.completion_tokens = (enc.encode(input)).length;
+      usage.completion_tokens = (enc.encode(input)).length;
-			usage.total_tokens = usage.prompt_tokens + usage.completion_tokens;
+      usage.total_tokens = usage.prompt_tokens + usage.completion_tokens;
-		} catch (e) {
+    } catch (e) {
-			console.log('Error encoding prompt text', e);
+      console.log('Error encoding prompt text', e);
-		}
+    }
-		res.json({
+    res.json({
-			usage: usage,
+      usage: usage,
-			message: anchorme({
+      message: anchorme({
-				input,
+        input,
-				options: {
+        options: {
-					attributes: {
+          attributes: {
-						target: "_blank"
+            target: "_blank"
-					},
+          },
-				}
+        }
-			})
+      })
-		})
+    })
-	} catch (e) {
+  } catch (e) {
-  		let error_msg = e.response.data.error.message ?  e.response.data.error.message : '';
+    let error_msg = e.response.data.error.message ? e.response.data.error.message : '';
-  		if (error_msg.indexOf('maximum context length')>=0){
+    if (error_msg.indexOf('maximum context length') >= 0) {
-				res.json({
+      res.json({
-					message: "The output for your prompt is too long for us to process. Please reduce your prompt and try again.",
+        message: "The output for your prompt is too long for us to process. Please reduce your prompt and try again.",
-				})
+      })
-		}else{
+    } else {
-			console.log(e.response);
+      console.log(e.response);
-		}
+    }
-	} finally {
+  } finally {
-	  // console.log('We do cleanup here');
+    // console.log('We do cleanup here');
-	}
+  }
 });
 async function runGPTTurbo(req, res) {
-	// "gpt-3.5-turbo"
+  // "gpt-3.5-turbo"
-	const { message, currentModel, temperature } = req.body;
+  const { message, currentModel, temperature } = req.body;
-	var input = '';
+  var input = '';
-	const message_history = JSON.parse(message);
+  const message_history = JSON.parse(message);
-	const query_prompt = message_history.length ? message_history[message_history.length - 1].content : "";
+  const query_prompt = message_history.length ? message_history[message_history.length - 1].content : "";
-	const moderation = await axios.post("https://api.openai.com/v1/moderations", {
+  const moderation = await axios.post("https://api.openai.com/v1/moderations", {
    input: query_prompt
  }, { headers: { 'content-type': 'application/json', 'Authorization': `Bearer ${process.env.OPENAI_API_KEY}` } });
-	if(moderation.data.results[0].flagged) {
+  if (moderation.data.results[0].flagged) {
-		res.json({
+    res.json({
-			success: false,
+      success: false,
-			message: "I'm sorry, but I can't assist with that. We want everyone to use our tool safely and responsibly.\nIf you have any other questions or need advice on a different topic, feel free to ask."
+      message: "I'm sorry, but I can't assist with that. We want everyone to use our tool safely and responsibly.\nIf you have any other questions or need advice on a different topic, feel free to ask."
-		});
+    });
-		res.end();
+    res.end();
-		return;
+    return;
-	}
+  }
-	try {
+  try {
-		const response = await openai.createChatCompletion({
+    const response = await openai.createChatCompletion({
-			model: `${currentModel}`,
+      model: `${currentModel}`,
-			messages: JSON.parse(message),
+      messages: JSON.parse(message),
-			max_tokens: 3000,
+      max_tokens: 3000,
-			temperature
+      temperature
-		});
+    });
-		input = response.data.choices[0].message.content
+    input = response.data.choices[0].message.content
-	} catch (e) {
+  } catch (e) {
-		let error_msg = e.response.data.error.message ?  e.response.data.error.message : '';
+    let error_msg = e.response.data.error.message ? e.response.data.error.message : '';
-		if (error_msg.indexOf('maximum context length')>=0){
+    if (error_msg.indexOf('maximum context length') >= 0) {
-			input = "The output for your prompt is too long for us to process. Please reduce your prompt and try again.";
+      input = "The output for your prompt is too long for us to process. Please reduce your prompt and try again.";
-		}else{
+    } else {
-			console.log(e.response);
+      console.log(e.response);
-		}
+    }
-	} finally {
+  } finally {
-		let usage = {};
+    let usage = {};
-		let enc = null;
+    let enc = null;
-		try {
+    try {
-			enc = encodingForModel(tiktokenModels.includes(currentModel) ? currentModel : 'gpt-3.5-turbo');
+      enc = encodingForModel(tiktokenModels.includes(currentModel) ? currentModel : 'gpt-3.5-turbo');
-			usage.prompt_tokens = (enc.encode(query_prompt)).length;
+      usage.prompt_tokens = (enc.encode(query_prompt)).length;
-			usage.completion_tokens = (enc.encode(input)).length;
+      usage.completion_tokens = (enc.encode(input)).length;
-			usage.total_tokens = usage.prompt_tokens + usage.completion_tokens;
+      usage.total_tokens = usage.prompt_tokens + usage.completion_tokens;
-		} catch (e) {
+    } catch (e) {
-			console.log('Error encoding prompt text', e);
+      console.log('Error encoding prompt text', e);
-		}
+    }
-		res.json({
+    res.json({
-			prompt: JSON.parse(message),
+      prompt: JSON.parse(message),
-			usage: usage,
+      usage: usage,
-			message: anchorme({
+      message: anchorme({
-				input,
+        input,
-				options: {
+        options: {
-					attributes: {
+          attributes: {
-						target: "_blank"
+            target: "_blank"
-					},
+          },
-				}
+        }
-			})
+      })
-		});
+    });
-		return;
+    return;
-	}
+  }
+}
+const get_endpoint_api_url = (currentModel) => {
+  const OPENSOURCE_ENDPOINTS = process.env.OPENSOURCE_ENDPOINTS;
+  const endpoints = JSON.parse(OPENSOURCE_ENDPOINTS);
+  const endpoint_api_url = endpoints?.[currentModel];
+  return endpoint_api_url
+}
+async function runOpensource(req, res) {
+  const { message, currentModel, temperature } = req.body;
+  var input = '';
+  const message_history = JSON.parse(message);
+  const query_prompt = message_history.length ? message_history[message_history.length - 1].content : "";
+  try {
+    const endpoint_api_url = get_endpoint_api_url(currentModel);
+    console.log('endpoint_api_url', endpoint_api_url);
+    const response = await axios.post(endpoint_api_url + '/chat/completions', {
+      messages: JSON.parse(message),
+      temperature
+    }, {
+      headers: {
+        'Content-Type': 'application/json',
+        // 'Authorization': `Bearer ${process.env.OPENSOURCE_API_KEY}`
+      },
+    });
+    console.log(" zephyr response", response.data.choices[0])
+    input = response.data.choices[0].message.content
+  } catch (e) {
+    let error_msg = e.response.data.error.message ? e.response.data.error.message : '';
+    if (error_msg.indexOf('maximum context length') >= 0) {
+      input = "The output for your prompt is too long for us to process. Please reduce your prompt and try again.";
+    } else {
+      console.log(e.response);
+    }
+  } finally {
+    let usage = {};
+    let enc = null;
+    try {
+      enc = encodingForModel('gpt-3.5-turbo');
+      usage.prompt_tokens = (enc.encode(query_prompt)).length;
+      usage.completion_tokens = (enc.encode(input)).length;
+      usage.total_tokens = usage.prompt_tokens + usage.completion_tokens;
+    } catch (e) {
+      console.log('Error encoding prompt text', e);
+    }
+    res.json({
+      prompt: JSON.parse(message),
+      usage: usage,
+      message: anchorme({
+        input,
+        options: {
+          attributes: {
+            target: "_blank"
+          },
+        }
+      })
+    });
+    return;
+  }
 }
 // Get Models Route
 app.get('/models', async (req, res) => {
-	const response = await openai.listEngines();
+  const response = await openai.listEngines();
-	res.json({
+  const models = response.data;
-		models: response.data
+  const opensource_models = process.env.OPENSOURCE_MODELS ? process.env.OPENSOURCE_MODELS.split(',') : [];
-	})
+  opensource_models.forEach((model) => {
+    models.data.push({
+      id: model,
+    });
+  })
+  res.json({
+    models
+  })
 });
 // Start the server
 app.listen(port, () => {
-	  console.log(`Example app listening at http://localhost:${port}`)
+  console.log(`Example app listening at http://localhost:${port}`)
 });
\ No newline at end of file
--- a/package-lock.json
View file @296bbfa
+++ b/package-lock.json
View file @296bbfa
@@ -10,11 +10,15 @@
      "license": "ISC",
      "dependencies": {
        "anchorme": "^2.1.2",
+        "axios": "^1.5.1",
        "body-parser": "^1.20.1",
+        "cookie": "0.5.0",
+        "cookie-parser": "1.4.6",
        "cors": "^2.8.5",
        "dotenv": "^16.0.3",
        "express": "^4.18.2",
        "express-rate-limit": "^6.7.0",
+        "js-tiktoken": "1.0.7",
        "morgan": "^1.10.0",
        "openai": "^3.2.0"
      }
@@ -47,13 +51,34 @@
      "integrity": "sha512-Oei9OH4tRh0YqU3GxhX79dM/mwVgvbZJaSNaRk+bshkj0S5cfHcgYakreBjrHwatXKbz+IoIdYLxrKim2MjW0Q=="
    },
    "node_modules/axios": {
-      "version": "0.26.1",
+      "version": "1.6.2",
-      "resolved": "https://registry.npmjs.org/axios/-/axios-0.26.1.tgz",
+      "resolved": "https://registry.npmjs.org/axios/-/axios-1.6.2.tgz",
-      "integrity": "sha512-fPwcX4EvnSHuInCMItEhAGnaSEXRBjtzh9fOtsE6E1G6p7vl7edEeZe11QHf18+6+9gR5PbKV/sGKNaD8YaMeA==",
+      "integrity": "sha512-7i24Ri4pmDRfJTR7LDBhsOTtcm+9kjX5WiY1X3wIisx6G9So3pfMkEiU7emUBe46oceVImccTEM3k6C5dbVW8A==",
      "dependencies": {
-        "follow-redirects": "^1.14.8"
+        "follow-redirects": "^1.15.0",
+        "form-data": "^4.0.0",
+        "proxy-from-env": "^1.1.0"
      }
    },
+    "node_modules/base64-js": {
+      "version": "1.5.1",
+      "resolved": "https://registry.npmjs.org/base64-js/-/base64-js-1.5.1.tgz",
+      "integrity": "sha512-AKpaYlHn8t4SVbOHCy+b5+KKgvR4vrsD8vbvrbiQJps7fKDTkjkDry6ji0rUJjC0kzbNePLwzxq8iypo41qeWA==",
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/feross"
+        },
+        {
+          "type": "patreon",
+          "url": "https://www.patreon.com/feross"
+        },
+        {
+          "type": "consulting",
+          "url": "https://feross.org/support"
+        }
+      ]
+    },
    "node_modules/basic-auth": {
      "version": "2.0.1",
      "resolved": "https://registry.npmjs.org/basic-auth/-/basic-auth-2.0.1.tgz",
@@ -151,6 +176,26 @@
        "node": ">= 0.6"
      }
    },
+    "node_modules/cookie-parser": {
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+      "resolved": "https://registry.npmjs.org/cookie-parser/-/cookie-parser-1.4.6.tgz",
+      "integrity": "sha512-z3IzaNjdwUC2olLIB5/ITd0/setiaFMLYiZJle7xg5Fe9KWAceil7xszYfHHBtDFYLSgJduS2Ty0P1uJdPDJeA==",
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+        "cookie-signature": "1.0.6"
+      },
+      "engines": {
+        "node": ">= 0.8.0"
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+    "node_modules/cookie-parser/node_modules/cookie": {
+      "version": "0.4.1",
+      "resolved": "https://registry.npmjs.org/cookie/-/cookie-0.4.1.tgz",
+      "integrity": "sha512-ZwrFkGJxUR3EIoXtO+yVE69Eb7KlixbaeAWfBQB9vVsNn/o+Yw69gBWSSDK825hQNdN+wF8zELf3dFNl/kxkUA==",
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    "node_modules/cookie-signature": {
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      "resolved": "https://registry.npmjs.org/cookie-signature/-/cookie-signature-1.0.6.tgz",
@@ -431,6 +476,14 @@
        "node": ">= 0.10"
      }
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+    "node_modules/js-tiktoken": {
+      "version": "1.0.7",
+      "resolved": "https://registry.npmjs.org/js-tiktoken/-/js-tiktoken-1.0.7.tgz",
+      "integrity": "sha512-biba8u/clw7iesNEWLOLwrNGoBP2lA+hTaBLs/D45pJdUPFXyxD6nhcDVtADChghv4GgyAiMKYMiRx7x6h7Biw==",
+      "dependencies": {
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+      }
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    "node_modules/media-typer": {
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      "resolved": "https://registry.npmjs.org/media-typer/-/media-typer-0.3.0.tgz",
@@ -565,6 +618,14 @@
        "form-data": "^4.0.0"
      }
    },
+    "node_modules/openai/node_modules/axios": {
+      "version": "0.26.1",
+      "resolved": "https://registry.npmjs.org/axios/-/axios-0.26.1.tgz",
+      "integrity": "sha512-fPwcX4EvnSHuInCMItEhAGnaSEXRBjtzh9fOtsE6E1G6p7vl7edEeZe11QHf18+6+9gR5PbKV/sGKNaD8YaMeA==",
+      "dependencies": {
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      "resolved": "https://registry.npmjs.org/parseurl/-/parseurl-1.3.3.tgz",
@@ -590,6 +651,11 @@
        "node": ">= 0.10"
      }
    },
+    "node_modules/proxy-from-env": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/proxy-from-env/-/proxy-from-env-1.1.0.tgz",
+      "integrity": "sha512-D+zkORCbA9f1tdWRK0RaCR3GPv50cMxcrz4X8k5LTSUD1Dkw47mKJEZQNunItRTkWwgtaUSo1RVFRIG9ZXiFYg=="
+    },
    "node_modules/qs": {
      "version": "6.11.0",
      "resolved": "https://registry.npmjs.org/qs/-/qs-6.11.0.tgz",