> ## 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

> DeepResearchAgent: Agent for performing deep research using multiple provider APIs.

# DeepResearchAgent

> Defined in the [**Deep Research Agent**](../modules/deep_research_agent) module.

<Badge color="blue">AI Agent</Badge>

Agent for performing deep research using multiple provider APIs.

Supports:

* **OpenAI Deep Research**: o3-deep-research, o4-mini-deep-research
* **Gemini Deep Research**: deep-research-pro-preview
* **LiteLLM**: Unified interface for OpenAI models

The provider is auto-detected based on the model name, or can be explicitly set.

```mermaid theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
%%{init: {'theme': 'base', 'themeVariables': { 'primaryColor': '#8B0000', 'primaryTextColor': '#fff', 'primaryBorderColor': '#710101', 'lineColor': '#189AB4', 'secondaryColor': '#189AB4', 'tertiaryColor': '#fff' }}}%%

graph LR
    input["Input Data"] --> agent["Agent: DeepResearchAgent"]
    agent --> output["Output Result"]
    style agent fill:#8B0000,color:#fff
    style input fill:#8B0000,color:#fff
    style output fill:#8B0000,color:#fff
```

## Constructor

<ParamField query="name" type="Optional" required={false}>
  No description available.
</ParamField>

<ParamField query="instructions" type="Optional" required={false}>
  No description available.
</ParamField>

<ParamField query="model" type="str" required={false} default="'o3-deep-research'">
  No description available.
</ParamField>

<ParamField query="provider" type="Optional" required={false} default="'auto'">
  No description available.
</ParamField>

<ParamField query="api_key" type="Optional" required={false}>
  No description available.
</ParamField>

<ParamField query="base_url" type="Optional" required={false}>
  No description available.
</ParamField>

<ParamField query="verbose" type="bool" required={false} default="True">
  No description available.
</ParamField>

<ParamField query="summary_mode" type="Literal" required={false} default="'auto'">
  No description available.
</ParamField>

<ParamField query="enable_web_search" type="bool" required={false} default="True">
  No description available.
</ParamField>

<ParamField query="enable_code_interpreter" type="bool" required={false} default="False">
  No description available.
</ParamField>

<ParamField query="enable_file_search" type="bool" required={false} default="False">
  No description available.
</ParamField>

<ParamField query="mcp_servers" type="Optional" required={false}>
  No description available.
</ParamField>

<ParamField query="file_search_stores" type="Optional" required={false}>
  No description available.
</ParamField>

<ParamField query="use_litellm" type="bool" required={false} default="False">
  No description available.
</ParamField>

<ParamField query="poll_interval" type="int" required={false} default="10">
  No description available.
</ParamField>

<ParamField query="max_wait_time" type="int" required={false} default="3600">
  No description available.
</ParamField>

## Methods

<CardGroup cols={2}>
  <Card title="openai_client()" icon="function" href="../functions/DeepResearchAgent-openai_client">
    Get the synchronous OpenAI client (lazy initialization).
  </Card>

  <Card title="async_openai_client()" icon="function" href="../functions/DeepResearchAgent-async_openai_client">
    Get the asynchronous OpenAI client (lazy initialization).
  </Card>

  <Card title="gemini_client()" icon="function" href="../functions/DeepResearchAgent-gemini_client">
    Get the Gemini client (lazy initialization).
  </Card>

  <Card title="research()" icon="function" href="../functions/DeepResearchAgent-research">
    Perform a deep research query.
  </Card>

  <Card title="aresearch()" icon="function" href="../functions/DeepResearchAgent-aresearch">
    Async version of research().
  </Card>

  <Card title="follow_up()" icon="function" href="../functions/DeepResearchAgent-follow_up">
    Ask a follow-up question based on a previous research interaction.
  </Card>

  <Card title="clarify()" icon="function" href="../functions/DeepResearchAgent-clarify">
    Generate clarifying questions for a research query.
  </Card>

  <Card title="rewrite_query()" icon="function" href="../functions/DeepResearchAgent-rewrite_query">
    Rewrite a research query to be more specific and detailed.
  </Card>
</CardGroup>

## Usage

```python theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
# OpenAI (default)
    agent = DeepResearchAgent(
        model="o3-deep-research",
        instructions="You are a professional researcher."
    )
    
    # Gemini
    agent = DeepResearchAgent(
        model="deep-research-pro",
        instructions="You are a professional researcher."
    )
    
    # Using LiteLLM
    agent = DeepResearchAgent(
        model="o3-deep-research",
        use_litellm=True
    )
    
    result = agent.research("Research the economic impact of AI on healthcare.")
    print(result.report)
```

## Source

<Card title="View on GitHub" icon="github" href="https://github.com/MervinPraison/PraisonAI/blob/main/src/praisonai-agents/praisonaiagents/agent/deep_research_agent.py#L160">
  `praisonaiagents/agent/deep_research_agent.py` at line 160
</Card>

***

## Related Documentation

<CardGroup cols={2}>
  <Card title="Agents Concept" icon="robot" href="/docs/concepts/agents" />

  <Card title="Single Agent Guide" icon="book-open" href="/docs/guides/single-agent" />

  <Card title="Multi-Agent Guide" icon="users" href="/docs/guides/multi-agent" />

  <Card title="Agent Configuration" icon="gear" href="/docs/configuration/agent-config" />

  <Card title="Auto Agents" icon="wand-magic-sparkles" href="/docs/features/autoagents" />
</CardGroup>