feat: add 'llm' command snippet for MongoDB shell (#7)

snippets/llm-command/LICENSE

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snippets/llm-command/README.md

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+# LLM Command Snippet
+
+This snippet adds an `llm` command to mongosh that provides helpful suggestions or recommendations for MongoDB-related tasks. The query results are generated using Groq API by default, with an option to use other models via Ollama.
+
+## Prerequisites
+
+```
+export GROQ_API_KEY=gsk_XXXXXXX
+mongosh
+```
+
+## Usage
+
+After installing the snippet, you can use the `llm` command in your MongoDB shell like this:
+
+```javascript
+llm("very briefly, just the command, do not use markdown: in mongosh how to get the collections names of current db?");
+```
+
+This will output a possible solution to your query, such as `db.getCollectionNames()`.
+
+```javascript
+llm("very briefly, just the command, do not use markdown: in mongosh replace all documents of a collection with property {'set':'llm102'} with the new value {'set':'llm101'} in current db?")
+```
+
+This will output a possible solution to your query, such as `db.collection.updateMany({ set: 'llm102' }, { $set: { set: 'llm101' } })`.
+
+You can also specify a different model to use with an optional parameter:
+```javascript 
+llm("Your query here", { model: "phi3.5" });
+```
+This will use the specified model (in this case, 'phi3.5') via Ollama instead of the default Groq API.
+
+## Models
+
+By default, the `llm` command uses the Groq API with the 'llama-3.1-70b-versatile' model. You can use other models by specifying them in the optional parameter:
+
+- Groq API (default): No need to specify, just use `llm("Your query")`.
+- Ollama models: Specify the model name, e.g., `llm("Your query", { model: "gemini2" })` or `llm("Your query", { model: "phi3.5" })`.
+
+Note: When using Ollama models, make sure you have Ollama running locally on the default port (11434).
+
+
+## Installation
+
+You can install this snippet using the `snippet` command in mongosh:
+
+```javascript
+snippet install llm-command
+```
+
+## Troubleshooting
+
+If you get the error:
+```
+"Error: Cannot find module 'groq-sdk'"
+```
+then, go to your $USER/.mongodb/mongosh/snippets/node_modules/@juananpe/snippets-llm-command folder
+and run `npm install`. Then close and open mongosh again.
+
+
+## License
+
+This snippet is licensed under the Apache-2.0 license.

snippets/llm-command/index.js

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+(() => {
+  const localRequire = require("module").createRequire(__filename);
+  const fetch = localRequire("node-fetch-commonjs");
+  const Groq = require('groq-sdk');
+
+  const groqApiKey = process.env['GROQ_API_KEY'];
+
+  globalThis.llm = async function (message, options = {}) {
+    const model = options.model || 'groq'; // Default to Groq if no model specified
+
+    try {
+      if (model.toLowerCase() !== 'groq') {
+        // Ollama version (for any non-Groq model)
+        const response = await fetch("http://127.0.0.1:11434/api/chat", {
+          method: "POST",
+          headers: {
+            "Content-Type": "application/json",
+          },
+          body: JSON.stringify({
+            model: model.toLowerCase(), // Use the specified model
+            messages: [
+              {
+                role: "user",
+                content: message,
+              },
+            ],
+            stream: false,
+          }),
+        });
+
+        const data = await response.json();
+
+        if (data.message) {
+          return data.message.content;
+        } else {
+          return "No message found in the response.";
+        }
+      } else {
+        // Groq (llama) version
+        if (!groqApiKey) {
+          console.warn('Groq API key is not set. Please set the GROQ_API_KEY environment variable.');
+          return 'Unable to fetch message due to missing Groq API key.';
+        }
+
+        const groq = new Groq({
+          apiKey: groqApiKey,
+        });
+
+        const chatCompletion = await groq.chat.completions.create({
+          messages: [{ role: 'user', content: message }],
+          model: 'llama-3.1-70b-versatile',
+        });
+
+        if (chatCompletion.choices && chatCompletion.choices.length > 0) {
+          return chatCompletion.choices[0].message.content;
+        } else {
+          return "No message found in the response.";
+        }
+      }
+    } catch (error) {
+      console.error("Error fetching message:", error);
+      return "An error occurred while fetching the message.";
+    }
+  };
+})();