Secure AI

read_web_page_content

Read the content of a web page via its URL.

Web Page Scraper

image_generator

Generate high-quality images using OpenAI's GPT-Image-1 model. Provide a detailed description of what you want to see in the image. The model will generate the image based on your description.

After calling this function, the output image will be shown to the user automatically in markdown format. The image is returned as a base64-encoded string that can be displayed directly in the chat.

Image Generation - OpenAI Image

diffusionPlus

Input an image generation prompt to generate the described image and show it to the user. The generation happens with a modern AI image generation model. The result is shown directly to the user in the interface after creation. DO NOT link the image, just mention it has been created.

Image Generator - FLUX

diffusionPlus-stable-diffusion

Image Generator - Stable Diffusion

Research Plan

Use this tool to create and manage a structured task list for your current research session. This helps track progress, organize complex investigations, and demonstrate thoroughness.

### When to Use This Tool

Use proactively for:
1. Complex multi-step research (3+ distinct phases)
2. Non-trivial investigations requiring careful planning
3. User explicitly requests research todo list
4. User provides multiple research topics (numbered/comma-separated)
5. After receiving new research instructions - capture requirements as todos (use merge=false to add new ones)
6. After completing research phases - mark complete with merge=true and add follow-ups
7. When starting new research areas - mark as in_progress (ideally only one at a time)

### When NOT to Use

Skip for:
1. Single, straightforward questions
2. Trivial lookups with no organizational benefit
3. Research completable in < 3 trivial steps
4. Purely conversational/clarification requests
5. Don't add a task to verify findings unless asked, or you'll overfocus on validation

### Examples

<example>
  User: Research the impact of climate change on Arctic wildlife
  Assistant: *Creates todo list:*
  1. Analyze temperature trends in Arctic regions
  2. Identify key Arctic species and habitats
  3. Review scientific studies on wildlife impacts
  4. Synthesize findings and correlations
<reasoning>
  Multi-phase research with dependencies requiring systematic investigation.
</reasoning>
</example>

<example>
  User: Compare healthcare systems across Nordic countries
  Assistant: *Creates todo list with specific items for each country's system, funding models, outcomes, and comparative analysis*

<reasoning>
  Complex comparative research requiring systematic tracking across multiple systems.
</reasoning>
</example>

<example>
  User: Investigate renewable energy adoption, economic impacts, policy frameworks, and future projections.
  Assistant: *Creates todo list breaking down each research area into specific investigation tasks*

<reasoning>
  Multiple complex research areas provided as list requiring organized investigation management.
</reasoning>
</example>

<example>
  User: Research why my company's market share is declining - analyze competitors, market trends, customer feedback.
  Assistant: *Creates todo list: 1) Competitor analysis, 2) Market trend research, 3) Customer sentiment analysis, 4) Internal factor review, 5) Strategic recommendations*

<reasoning>
  Business analysis requires multiple research phases across different data sources.
</reasoning>
</example>

### Examples of When NOT to Use the Todo List

<example>
  User: What's the capital of France?
  Assistant: The capital of France is Paris.

<reasoning>
  Single trivial factual lookup completed in one step.
</reasoning>
</example>

<example>
  User: Explain what photosynthesis is.
  Assistant: Photosynthesis is the process by which plants convert sunlight into energy...

<reasoning>
  Informational request with no complex research investigation needed.
</reasoning>
</example>

<example>
  User: Find the current stock price of Apple.
  Assistant: *Looks up current AAPL price* Apple (AAPL) is currently trading at...

<reasoning>
  Single straightforward data lookup with immediate results.
</reasoning>
</example>

<example>
  User: What does GDP stand for?
  Assistant: GDP stands for Gross Domestic Product...

<reasoning>
  Simple definition request with no multi-step research required.
</reasoning>
</example>

### Task States and Management

1. **Research States:**
  - pending: Not yet started
  - in_progress: Currently investigating
  - completed: Research finished successfully
  - cancelled: No longer needed

2. **Research Management:**
  - Update status in real-time
  - Mark complete IMMEDIATELY after finishing each phase
  - Only ONE research area in_progress at a time
  - Complete current investigations before starting new ones

3. **Research Breakdown:**
  - Create specific, actionable investigation items
  - Break complex research into manageable phases
  - Use clear, descriptive research objectives

When in doubt, use this tool. Proactive research management demonstrates thoroughness and ensures complete investigation of requirements.

update_research_plan

Search Web

Search the web using SERP API (Google search engine) for real-time information about any topic. Use this tool when you need up-to-date information that might not be available in your training data, or when you need to verify current facts. The search results will include relevant snippets and URLs from web pages. This is particularly useful for questions about current events, technology updates, or any topic that requires recent information.

research_tool_search_web

Extract Web Page

Retrieves the text content of a web page in markdown format. When in Lightweight Mode, this tool returns an extracted content with only the answer based on the extractInstructions. When in Comprehensive Mode, this tool returns the full content of the web page.

extract_web_page

Read Full Web Page

Retrieves the full text content of a web page in markdown format, this will return the full content of the website that may be extremely long.

read_full_web_page_content

Deep Research

Kimi K2 0905 is Moonshot AI's improved version of the Kimi K2 model, featuring enhanced coding capabilities with superior frontend development and tool calling performance. This Mixture-of-Experts (MoE) model with 1 trillion total parameters and 32 billion activated parameters offers improved integration with various agent scaffolds, making it ideal for building sophisticated AI agents and autonomous systems.

Kimi K2

Qwen 3 32B is the latest generation of large language models in the Qwen series, offering groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support. It uniquely supports seamless switching between thinking mode (for complex logical reasoning, math, and coding) and non-thinking mode (for efficient, general-purpose dialogue) within a single model. The model excels in human preference alignment, creative writing, role-playing, and multi-turn dialogues, while supporting 100+ languages and dialects.

Qwen3-32b

Llama 4 Maverick is Meta's natively multimodal model that enables text and image understanding. With a 17 billion parameter mixture-of-experts architecture (128 experts), this model offers industry-leading performance for multimodal tasks like natural assistant-like chat, image recognition, and coding tasks. With a 128K token context window and support for 12 languages (Arabic, English, French, German, Hindi, Indonesian, Italian, Portuguese, Spanish, Tagalog, Thai, and Vietnamese), the model delivers exceptional capabilities.

Llama 4 Maverick 17B 128E

OpenAI's flagship open-weight MoE model with 120B total parameters. Designed for high-capability agentic use, it matches or surpasses proprietary models like OpenAI o4-mini on many benchmarks. With long-context reasoning, competitive math/coding performance, and robust health knowledge, it is ideal for advanced research, autonomous tools, and agentic applications.

GPT OSS 120B

Mill Pond Research's proprietary & secure LLM system

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