Epictetus
a14f09bec2
New skills: - langgraph-workflow-creation (from LangGraphProjects) - agent-supervisor (from multi_agent_workflow_demo_in_langgraph) Fixes: - Publisher dedup: skip existing skills - Older repos: pushed_after 2024-06-01 (was 2026-05-01) - Lower stars: 10 (was 15)
84 lines
2.0 KiB
Markdown
84 lines
2.0 KiB
Markdown
---
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name: langgraph-workflow-creation
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version: 1.0.0
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description: Create a LangGraph workflow to gather facts using SerperDevTool and process
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them with an AI agent.
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inputs:
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- API Key for SerperDevTool
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- Search Query
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steps:
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- 'Step 1: Import necessary modules from langgraph and langchain libraries'
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- 'Step 2: Create a LangGraph agent using `langgraph.create_react_agent` function
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with SerperDevTool as the tool node'
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- 'Step 3: Define the search query and pass it to the agent for fact gathering'
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- 'Step 4: Process the gathered facts within the AI agent'
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outputs:
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- Processed Facts
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tags: []
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metadata:
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source_repo: https://github.com/jkmaina/LangGraphProjects.git
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extracted_at: ''
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confidence: 0.95
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---
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# langgraph-workflow-creation
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Create a LangGraph workflow to gather facts using SerperDevTool and process them with an AI agent.
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## Setup
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**Dependencies:**
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```text
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pip install langchain serperdev
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```
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**Setup steps:**
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1. Install required libraries: pip install langchain serperdev
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1. Add API key to .env file: OPENAPI_API_KEY=your_api_key
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## Key Files
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- `agent.py - Contains the LangGraph agent creation logic`
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- `tool_node.py - Defines the SerperDevTool node`
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## Steps
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1. Step 1: Import necessary modules from langgraph and langchain libraries
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2. Step 2: Create a LangGraph agent using `langgraph.create_react_agent` function with SerperDevTool as the tool node
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3. Step 3: Define the search query and pass it to the agent for fact gathering
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4. Step 4: Process the gathered facts within the AI agent
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## Implementation Details
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```python
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import langgraph
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from serperdev import SerperDevTool
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def create_agent(api_key, query):
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tool = SerperDevTool(api_key)
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agent = langgraph.create_react_agent(tool=tool)
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facts = agent.run(query)
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return process_facts(facts)
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```
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## Inputs
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- API Key for SerperDevTool
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- Search Query
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## Outputs
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- Processed Facts
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## Failure Modes
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- API Key not provided
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- Invalid Search Query
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## Source
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Extracted from: [https://github.com/jkmaina/LangGraphProjects.git](https://github.com/jkmaina/LangGraphProjects.git)
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Confidence: 0.95
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