> ## Documentation Index
> Fetch the complete documentation index at: https://praison.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.
# Deep Research Agent • AI Agent SDK
> Deep Research Agent Module
# deep\_research\_agent
AI Agent
Deep Research Agent Module
This module provides the DeepResearchAgent class for automating complex research
workflows using Deep Research APIs from multiple providers:
* **OpenAI**: o3-deep-research, o4-mini-deep-research (via Responses API)
* **Gemini**: deep-research-pro (via Interactions API)
The agent automatically detects the provider based on the model name and uses
the appropriate API.
Example:
from praisonaiagents import DeepResearchAgent
# OpenAI Deep Research
agent = DeepResearchAgent(
name="Research Assistant",
model="o3-deep-research",
instructions="You are a professional researcher..."
)
# Gemini Deep Research
agent = DeepResearchAgent(
name="Research Assistant",
model="deep-research-pro",
instructions="You are a professional researcher..."
)
result = agent.research("What are the economic impacts of AI on healthcare?")
print(result.report)
for citation in result.citations:
print(f"- \{citation.title}: \{citation.url}")
## Import
```python theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
from praisonaiagents.agent import deep_research_agent
```
## Classes
Represents a citation in the research report.
Represents a reasoning step in the research process.
Represents a web search call made during research.
Represents a code execution step during research.
Represents an MCP tool call during research.
Represents a file search call (Gemini-specific).
Complete response from a Deep Research query.
Supported Deep Research providers.
Agent for performing deep research using multiple provider APIs.
***
## Related Documentation