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fix: groq added #1047

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merged 9 commits into from
Dec 20, 2024
Merged

fix: groq added #1047

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70b2406
fix:groq added
Prat011 Dec 19, 2024
35121a5
feat: recruiter agent added
Prat011 Dec 20, 2024
a8fea45
feat: recruiter agent added
Prat011 Dec 20, 2024
7b96ca9
feat: recruiter agent added
Prat011 Dec 20, 2024
976ac14
feat: recruiter agent added
Prat011 Dec 20, 2024
4f03909
Merge branch 'master' into fix/twitter-thread-generator
Prat011 Dec 20, 2024
6355298
fix: recruiter agent fixed
Prat011 Dec 20, 2024
6ce83a5
fix: recruiter agent fixed
Prat011 Dec 20, 2024
bb84325
fix: agentops and groq added
Prat011 Dec 20, 2024
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3 changes: 2 additions & 1 deletion js/examples/newsletter_twitter_threads/demo.mjs
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Original file line number Diff line number Diff line change
@@ -1,4 +1,5 @@
import { openai } from "@ai-sdk/openai";
import {groq} from '@ai-sdk/groq'
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Consider maintaining consistent quote style in imports. The file uses double quotes for other imports but single quotes here. For consistency, suggest using: import { groq } from "@ai-sdk/groq";

import { VercelAIToolSet } from "composio-core";
import dotenv from "dotenv";
import { generateText } from "ai";
Expand Down Expand Up @@ -36,7 +37,7 @@ async function executeAgent(entityName) {

// Generate text using the model and tools
const output = await generateText({
model: openai("gpt-4o"),
model: groq("llama-3.3-70b-versatile"),
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Consider adding a comment explaining why the model was switched from GPT-4 to LLaMA and any expected behavioral differences. This will help future maintainers understand the reasoning behind this change.

streamText: false,
tools: tools,
prompt: `
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🤖 Bug Fix:

Critical Evaluation of AI Model Replacement
The change from openai("gpt-4o") to groq("llama-3.3-70b-versatile") in the generateText function is significant and requires careful consideration due to its high impact on the application's functionality. Here are the steps to ensure a smooth transition:

  • Compatibility Check: Verify that groq("llama-3.3-70b-versatile") is fully compatible with the existing codebase. This includes checking for any API changes or differences in input/output handling.
  • Thorough Testing: Conduct comprehensive testing to ensure that the text generation output meets the application's quality standards. This should include unit tests, integration tests, and user acceptance tests to catch any regressions or unexpected behavior.
  • Performance Analysis: Evaluate the performance of the new model. Ensure it does not introduce latency or excessive resource consumption that could degrade user experience.
  • Configuration and Dependencies: Ensure all necessary configurations and dependencies for the new model are correctly set up. This might involve updating environment variables, configuration files, or dependency management systems.

By following these steps, you can mitigate the risks associated with this high-impact change. 🚀

Comment on lines 37 to 43
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⚠️ Potential Issue:

Model Change Impact on Text Generation
The change from openai("gpt-4o") to groq("llama-3.3-70b-versatile") is significant and could impact the functionality and reliability of the text generation process. It is crucial to review the compatibility of the new model with the existing system requirements. Ensure that the output generated by groq("llama-3.3-70b-versatile") aligns with the expected results and does not introduce logical errors. Conduct thorough testing to validate the model's performance and output quality.

Comment on lines 37 to 43
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⚠️ Potential Issue:

Model Change Impact on Text Generation
The change from 'gpt-4o' to 'llama-3.3-70b-versatile' is significant and could impact the application's functionality. It's crucial to verify the compatibility of the new model with the existing system requirements. Conduct thorough testing of the text generation outputs to ensure they meet the expected standards. If the new model introduces issues, consider reverting to the previous model or selecting an alternative that aligns better with the application's needs.

Comment on lines 37 to 43
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⚠️ Potential Issue:

Switching Language Model from 'gpt-4o' to 'llama-3.3-70b-versatile'
The change from 'gpt-4o' to 'llama-3.3-70b-versatile' is significant and could impact the text generation process. It's crucial to ensure that the new model is compatible with the existing system and meets the required performance and accuracy standards.

Actionable Steps:

  • Compatibility Check: Verify that 'llama-3.3-70b-versatile' integrates well with the current system architecture.
  • Testing: Conduct comprehensive tests to ensure the model's output aligns with expectations in terms of performance and accuracy.
  • Update Dependencies: If necessary, update any dependent components or configurations to support the new model.

This change is critical and should be handled with caution to avoid potential disruptions in functionality.

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