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Update README.md with LiteLLM support
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README.md

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@@ -20,8 +20,31 @@ Note: Read this document to know more about the [build](front_end/panels/ai_chat
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* Built in Agent Framework for running tasks / workflows.
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* Ability to perform actions such as: Navigate URLs, Perform Actions (Clicks, Fill Form, Scroll).
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* Access to rendered web page with ability to summarize content.
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* Integrates with LLM Models (OpenAI GPT-4.1 and O4-Mini Models).
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* The agent can autonmously plan and execute tasks on behalf of user, such as
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* Summarize content
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* Deep research topics
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* Literature reviews
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* Product comparisons
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* Shopping assistance
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* Advanced search
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* And many more
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* Integrates with 100+ LLM Models
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* OpenAI GPT-4.1, O4-Mini
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* Claude 4, 3.7, 3.5
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* Google Gemeni
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* Llama
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* Deepseek
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* Qwen
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* And many more
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* Integrates with LiteLLM which supports ability to use multiple providers
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* Huggingface
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* Groq
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* Azure
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* AWS
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* OpenRouter
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* vLLM
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* Ollama
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* And many more
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* Customize workflows or agent behavior with config changes.
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![Architecture Flow](front_end/panels/ai_chat/docs/ArchitectureFlow.png)
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|Features| Status |
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|--|--|
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| Multi-Agent Workflow | Completed |
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| OpenAI LLM | Completed |
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| Local LLM | In Progress |
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| Multi-Agent Workflow | Completed (Initial Release) |
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| OpenAI LLM | Completed (Initial Release) |
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| Local LLM | Completed (May 22) |
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| MCP | Planned |
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| Customize Prompt in UI| Planned |
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| Customize System Prompts in UI| Planned |
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| Customize Agents in UI| Planned |
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| Customize Workflow Graphs in UI| Planned |
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| Eval Management | Planned |
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* [`front_end/panels/ai_chat/core/Readme.md`](front_end/panels/ai_chat/core/Readme.md): Explains how to customize the `BaseOrchestratorAgent` to add new top-level agent types and UI buttons, and details its graph-based workflow.
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* [`front_end/panels/ai_chat/agent_framework/Readme.md`](front_end/panels/ai_chat/agent_framework/Readme.md): Describes the AI Agent Framework, its core components (`ConfigurableAgentTool`, `AgentRunner`, `ToolRegistry`), and how to create, configure, and register new custom agents, including agent handoff mechanisms.
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### Setup LiteLLM Configuration
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https://github.com/user-attachments/assets/579dcfdc-71c8-4664-87b8-c2b68cc5c1ce
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1. Click on the setting config inside the chat panel
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2. Select LiteLLM Provider
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3. Input the LiteLLM URL and API key
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4. Click on fetch models to test the configuration
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5. Click save to update the configuration
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### Contributing
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Found a bug 🐛 or have a feature idea ✨? Please create issues [here](https://github.com/tysonthomas9/browser-operator-devtools-frontend/issues)

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