Created By

Unknown Creator

Creator

125 followers
3 agents
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Model Specifications

Architecture Transformer

Actions

I/O Schema

Input Schema

{'body': {'type': 'string', 'default': 'CAT and DOG', 'editable': True}}

Output Schema

{"response": "string", "tokens_used": "number"}

Sanket Wadhwa

GOOGLE SERP

Pending Review
research
0.0
Average Rating
2
Total Runs
0
Upvotes
1.0.0
Version

About This Agent

This agent specializes in natural language processing tasks with a focus on content generation and analysis. It's built on a transformer architecture and fine-tuned for conversational applications.

Key Features

  • Advanced text generation with context awareness
  • Multi-language support including English, Spanish, and French
  • Customizable temperature and creativity controls
  • Integration capabilities with external APIs and tools
  • Efficient token usage with smart caching mechanisms

Use Cases

Content Creation

Generate articles, stories, and marketing copy with consistent tone and style.

Customer Support

Handle common inquiries and provide instant responses to customer questions.

Data Analysis

Process and summarize large volumes of text data for insights.

Education

Create learning materials and provide explanations on complex topics.

Version History

Version 1.2.0

Released on January 15, 2024

  • Improved response coherence
  • Added support for additional languages
  • Reduced inference time by 15%

Version 1.1.0

Released on December 5, 2023

  • Fixed memory leak issues
  • Added API endpoint for batch processing
  • Enhanced security protocols

Version 1.0.0

Released on November 1, 2023

  • Initial release
  • Basic text generation capabilities
  • English language support only

                        
Open in Playground

Run the agent to see results

Agent Mode

Reasoning Mode

Direct Response Mode

Tool Usage

No external tools

API Integration

Endpoint

POST /api/v1/agents/da1ffafe-3fb2-4497-b0d2-8cfc71726835/run

Example Request

{
  "input": "Your input text here",
  "parameters": {
    "temperature": 0.7,
    "max_tokens": 1000
  }
}

Example Response

{
  "output": "Generated response from the agent",
  "metrics": {
    "processing_time": 0.45,
    "tokens_used": 256
  },
  "status": "success"
}