mathmodelagent
🤖📐专为数学建模设计的 Agent ,自动完成数学建模，生成一份完整的可以直接提交的论文。 An Agent Designed for Mathematical Modeling ,Automatically complete mathmodel and generate a complete paper ready for submission.
Discover how MathModelAgent preserves code execution history through notebook serialization. Learn how the NotebookSerializer captures cells, outputs, errors, and images in real-time.
MathModelAgent Docker Deployment: Complete Guide to Docker Compose SetupEasily deploy MathModelAgent with Docker Compose. Clone the repository and run a single command to launch Redis, FastAPI, and Vue containers for development with hot-reloading.
Understanding Retry Mechanisms in MathModelAgent: MAX_RETRIES and MAX_CHAT_TURNS ExplainedDiscover MathModelAgent's retry mechanisms including MAX_RETRIES and MAX_CHAT_TURNS. Learn how these controls manage LLM dialogue and code execution for robust performance.
How to Configure CORS Settings for Cross-Origin Requests in the FastAPI BackendLearn to configure CORS settings for your FastAPI backend. Easily manage cross-origin requests by setting the CORS_ALLOW_ORIGINS environment variable for secure and flexible API access.
How the Vue 3 WebSocket Client Manages Real-Time Task Updates in MathModelAgentLearn how the Vue 3 WebSocket client in MathModelAgent uses a custom wrapper and Pinia for real-time task updates, leveraging Vue 3 reactivity for seamless UI changes.
How to Add New Agents to the MathModelAgent Multi-Agent System: A Step-by-Step GuideLearn how to add new agents to the MathModelAgent multi-agent system. Follow this step-by-step guide to subclass, register, and integrate your custom agents easily.
OpenAlexScholar Integration Process for Literature Citations in MathModelAgentIntegrate OpenAlexScholar into MathModelAgent for literature citations. Discover the process: email validation, API setup, paper search, caching, and citation injection for academic papers.
How to Implement Custom Code Interpreters with the InterpreterFactory in MathModelAgentLearn to implement custom code interpreters in MathModelAgent by subclassing BaseCodeInterpreter and registering with InterpreterFactory. Enhance your agent's capabilities today.
How ModelerAgent Analyzes Problems and Constructs Mathematical Models in jihe520/mathmodelagentDiscover how ModelerAgent analyzes problems and constructs mathematical models by transforming user questions into structured plans via a three-stage LLM workflow. Learn more.
How CoordinatorAgent Breaks Down User Problems into Actionable SubtasksLearn how the CoordinatorAgent breaks down user problems into actionable subtasks by using an LLM to extract questions and structure responses. Discover the process today.
How WriterAgent Generates Formatted Academic Papers from Modeling Results in MathModelAgentDiscover how WriterAgent uses LLM conversations and tool integrations to automatically generate formatted academic papers from modeling results within MathModelAgent.
CoderAgent Capabilities in MathModelAgent: Execute Code, Capture Output, and Recover from ErrorsExplore CoderAgent capabilities in MathModelAgent. Execute Python, stream output, and recover from errors with advanced retry logic for seamless mathematical modeling.
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