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Gemini API ReAct agent from scratch with Gemini and LangGraph
Implementation guide for building a ReAct-style reasoning agent from the ground up using the Gemini API and the LangGraph orchestration framework.
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Gemini API ReAct agent from scratch with Gemini and LangGraph
Implementation guide for building a ReAct-style reasoning agent from the ground up using the Gemini API and the LangGraph orchestration framework.
When To Use
Use when you need to implement a reasoning and acting (ReAct) agent loop that uses Gemini for decision-making and LangGraph for state management and tool orchestration.
Reference Files
| File | Contains | Use For |
|---|---|---|
SKILL.md | Entry point: scope, routing table, and workflow. | Start here. |
docs/gemini-api-react-agent-from-scratch-with-and-langgraph-workflow-guide.md | A guide and implementation walkthrough for building a ReAct agent using the Gemini API and the LangGraph framework. | Questions about a guide and implementation walkthrough for building a ReAct agent using the Gemini API and the LangGraph framework. |
examples/gemini-api-react-agent-from-scratch-with-and-langgraph-gemini-api-langgr.text | A Python implementation demonstrating how to build a ReAct agent using the Gemini API and LangGraph. | Exact payloads, commands, or snippets shown in A Python implementation demonstrating how to build a ReAct agent using the Gemini API and LangGraph. |
examples/gemini-api-react-agent-from-scratch-with-and-langgraph-gemini-api-langgr-2.text | A Python implementation demonstrating how to build a ReAct agent using the Gemini API and LangGraph. | Exact payloads, commands, or snippets shown in A Python implementation demonstrating how to build a ReAct agent using the Gemini API and LangGraph. |
examples/gemini-api-react-agent-from-scratch-with-and-langgraph-gemini-api-langgr-3.text | A Python implementation of a ReAct agent using the Gemini API and LangGraph to manage agent state and message sequences. | Exact payloads, commands, or snippets shown in A Python implementation of a ReAct agent using the Gemini API and LangGraph to manage agent state and message sequences. |
examples/gemini-api-react-agent-from-scratch-with-and-langgraph-gemini-api-langgr-4.text | A Python implementation of a ReAct agent using Gemini API and LangGraph with custom tool definitions. | Exact payloads, commands, or snippets shown in A Python implementation of a ReAct agent using Gemini API and LangGraph with custom tool definitions. |
examples/gemini-api-react-agent-from-scratch-with-and-langgraph-gemini-api-langgr-5.text | A Python implementation demonstrating how to build a ReAct agent using the Gemini API and LangGraph with tool binding. | Exact payloads, commands, or snippets shown in A Python implementation demonstrating how to build a ReAct agent using the Gemini API and LangGraph with tool binding. |
examples/gemini-api-react-agent-from-scratch-with-and-langgraph-gemini-api-langgr-6.text | A Python implementation demonstrating how to build a ReAct agent using the Gemini API and LangGraph. | Exact payloads, commands, or snippets shown in A Python implementation demonstrating how to build a ReAct agent using the Gemini API and LangGraph. |
examples/gemini-api-react-agent-from-scratch-with-and-langgraph-gemini-api-langgr-7.text | A Python implementation of a ReAct agent using Gemini API and LangGraph to manage stateful tool-calling workflows. | Exact payloads, commands, or snippets shown in A Python implementation of a ReAct agent using Gemini API and LangGraph to manage stateful tool-calling workflows. |
examples/gemini-api-react-agent-from-scratch-with-and-langgraph-gemini-api-langgr-8.text | Python code using IPython to display a Mermaid diagram of a LangGraph ReAct agent workflow. | Exact payloads, commands, or snippets shown in Python code using IPython to display a Mermaid diagram of a LangGraph ReAct agent workflow. |
examples/gemini-api-react-agent-from-scratch-with-and-langgraph-gemini-api-langgr-9.text | A Python code implementation demonstrating how to build a ReAct agent using the Gemini API and LangGraph. | Exact payloads, commands, or snippets shown in A Python code implementation demonstrating how to build a ReAct agent using the Gemini API and LangGraph. |
examples/gemini-api-react-agent-from-scratch-with-and-langgraph-gemini-api-langgr-10.text | A Python code implementation demonstrating how to build a ReAct agent using the Gemini API and LangGraph. | Exact payloads, commands, or snippets shown in A Python code implementation demonstrating how to build a ReAct agent using the Gemini API and LangGraph. |
What This Skill Covers
- LangGraph is a framework for building stateful LLM applications, making it a good choice for constructing ReAct (Reasoning and Acting) Agents.
Workflow
- Open the most relevant file under
docs/for the exact documented workflow and wording. - Open
schemas/files for exact structured contracts. - Open
examples/files for concrete requests, commands, snippets, and manifests. - Do not add behavior or configuration that is not present in the attached source files.
Canonical source: https://ai.google.dev/gemini-api/docs/langgraph-example