Tools
Desi Vocal Tools
Examples
- Introduction
- Getting Started
- Agents
- Workflows
- Applications
Agent Concepts
- Multimodal
- RAG
- Knowledge
- Memory
- Teams
- Async
- Hybrid Search
- Storage
- Tools
- DuckDuckGo Search
- Calculator
- Airflow Tools
- Apify Tools
- ArXiv Tools
- AWS Lambda Tools
- Baidu Search Tools
- Cal.com Tools
- Composio Tools
- Confluence Tools
- Crawl4ai Tools
- CSV Tools
- DALL-E Tools
- Desi Vocal Tools
- Discord Tools
- DuckDB Tools
- Email Tools
- Exa Tools
- Fal Tools
- File Tools
- Firecrawl Tools
- Giphy Tools
- GitHub Tools
- Google Calendar Tools
- Google Search Tools
- Hacker News Tools
- Jina Reader Tools
- Jira Tools
- Linear Tools
- Luma Labs Tools
- MLX Transcribe Tools
- Models Labs Tools
- Newspaper Tools
- Newspaper4k Tools
- OpenBB Tools
- Pandas Tools
- Postgres Tools
- PubMed Tools
- Python Tools
- Replicate Tools
- Resend Tools
- SearxNG Tools
- SerpAPI Tools
- Shell Tools
- Slack Tools
- Sleep Tools
- Spider Tools
- SQL Tools
- Tavily Tools
- Twilio Tools
- Twitter Tools
- Website Tools
- Wikipedia Tools
- YFinance Tools
- YouTube Tools
- Zendesk Tools
- Vector Databases
- Embedders
Models
- Anthropic
- AWS Bedrock Claude
- Azure OpenAI
- Cohere
- DeepSeek
- Fireworks
- Gemini
- Groq
- Hugging Face
- Mistral
- NVIDIA
- Ollama
- OpenAI
- Together
- Vertex AI
- xAI
Tools
Desi Vocal Tools
Code
cookbook/agent_concepts/tools/desi_vocal_tools.py
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.desi_vocal import DesiVocalTools
audio_agent = Agent(
model=OpenAIChat(id="gpt-4o"),
tools=[DesiVocalTools()],
description="You are an AI agent that can generate audio using the DesiVocal API.",
instructions=[
"When the user asks you to generate audio, use the `text_to_speech` tool to generate the audio.",
"You'll generate the appropriate prompt to send to the tool to generate audio.",
"You don't need to find the appropriate voice first, I already specified the voice to user.",
"Return the audio file name in your response. Don't convert it to markdown.",
"Generate the text prompt we send in hindi language",
],
markdown=True,
debug_mode=True,
show_tool_calls=True,
)
audio_agent.print_response(
"Generate a very small audio of history of french revolution"
)
Usage
1
Create a virtual environment
Open the Terminal
and create a python virtual environment.
2
Install libraries
pip install -U requests agno
3
Run Agent