Listen to this Post
🔥 Join Our community for latest AI updates: https://lnkd.in/gNbAeJG2
🔥 Access top AI models like GPT-4o, Llama, and more: Signup for FREE
You Should Know:
1. Define & Plan
- Objective: Clearly outline the AI agent’s purpose.
- Data Sources: APIs (REST, GraphQL), web scraping, databases.
- User Interaction: CLI, web interface, or API-based responses.
Example Linux Commands for API Testing:
curl -X GET "https://api.example.com/data" -H "Authorization: Bearer YOUR_TOKEN"
jq '.key' response.json Parse JSON responses in Linux
2. Begin Development
- Frameworks: LangChain, OpenAI, Hugging Face.
- Workflow Automation: Use Python or Bash scripting.
Python Automation Script:
import requests response = requests.get("https://api.example.ai/models") print(response.json())
Bash Automation:
!/bin/bash wget https://example.ai/model -O ai_model.zip unzip ai_model.zip
3. Collect & Store Data
- Database Integration: PostgreSQL, MongoDB.
- ETL Pipelines: Use `pandas` (Python) or `jq` (Linux).
PostgreSQL Command:
CREATE TABLE ai_metrics (id SERIAL PRIMARY KEY, performance FLOAT);
MongoDB Insertion:
mongo --eval 'db.agents.insert({name: "AI_1", accuracy: 0.95})'
4. Provide Memory
- Vector Databases: Pinecone, Weaviate.
- Cache Systems: Redis for fast retrieval.
Redis CLI Example:
redis-cli SET "ai_session:1234" "user_preferences"
5. Test, Monitor & Optimize
- Logging: `journalctl` (Linux) or
ELK Stack
. - Performance Monitoring:
htop
, `nvidia-smi` (for GPU-based AI).
GPU Monitoring:
watch -n 1 nvidia-smi
Log Analysis with `grep`:
grep "ERROR" /var/log/ai_agent.log
What Undercode Say
AI agents require structured workflows, efficient data handling, and continuous monitoring. Automation (Bash/Python), database management (SQL/NoSQL), and real-time logging (journalctl
, grep
) are essential.
Expected Output:
AI Agent deployed with 98% accuracy. Model logs stored in /var/log/ai_agent.log API response time: 120ms
Prediction
AI agents will increasingly automate workflows, reducing manual intervention in data processing and decision-making. Integration with quantum computing may emerge as the next frontier.
Relevant URLs:
IT/Security Reporter URL:
Reported By: Vishnunallani Ai – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅