langchain-react-agent ยท diff
git:20260507.44b06c0 to git:20260601.da7723a
58 added, 58 removed. Audit A to A.
- ---
- name: langchain-react-agent
- description: LangChain ReAct agent implementation with tool binding for reasoning and action loops
- allowed-tools:
- - Read
- - Write
- - Edit
- - Bash
- - Glob
- - Grep
- graph:
- domains: [domain:software-engineering]
- specializations: [specialization:ai-agents-conversational]
- skillAreas: [skill-area:agentic-loops, skill-area:tool-use]
- roles: [role:ml-engineer, role:backend-engineer]
- workflows: [workflow:feature-development, workflow:ml-model-lifecycle]
- topics: [topic:design-patterns]
-
- ---
-
- # LangChain ReAct Agent Skill
-
- ## Capabilities
-
- - Implement ReAct (Reasoning + Acting) agent patterns using LangChain
- - Configure tool binding and function calling for agents
- - Design thought-action-observation loops
- - Integrate with various LLM providers (OpenAI, Anthropic, etc.)
- - Handle agent memory and state persistence
- - Implement error handling and retry logic for agent actions
-
- ## Target Processes
-
- - react-agent-implementation
- - function-calling-agent
-
- ## Implementation Details
-
- ### Core Components
-
- 1. **Agent Executor Setup**: Configure LangChain AgentExecutor with appropriate settings
- 2. **Tool Integration**: Bind tools with proper schemas and descriptions
- 3. **Prompt Engineering**: Design system prompts for ReAct reasoning patterns
- 4. **Output Parsing**: Parse agent outputs and handle structured responses
-
- ### Configuration Options
-
- - LLM model selection and parameters
- - Tool definitions and schemas
- - Memory type (buffer, summary, vector)
- - Max iterations and timeout settings
- - Verbose/debug mode configuration
-
- ### Dependencies
-
- - langchain
- - langchain-openai / langchain-anthropic
- - Python 3.9+
+ ---
+ name: langchain-react-agent
+ description: LangChain ReAct agent implementation with tool binding for reasoning and action loops
+ allowed-tools:
+ - Read
+ - Write
+ - Edit
+ - Bash
+ - Glob
+ - Grep
+ graph:
+ domains: [domain:software-engineering]
+ specializations: [specialization:ai-agents-conversational]
+ skillAreas: [skill-area:agentic-loops, skill-area:tool-use]
+ roles: [role:ml-engineer, role:backend-engineer]
+ workflows: [workflow:feature-development, workflow:ml-model-lifecycle]
+ topics: [topic:design-patterns]
+
+ ---
+
+ # LangChain ReAct Agent Skill
+
+ ## Capabilities
+
+ - Implement ReAct (Reasoning + Acting) agent patterns using LangChain
+ - Configure tool binding and function calling for agents
+ - Design thought-action-observation loops
+ - Integrate with various LLM providers (OpenAI, Anthropic, etc.)
+ - Handle agent memory and state persistence
+ - Implement error handling and retry logic for agent actions
+
+ ## Target Processes
+
+ - react-agent-implementation
+ - function-calling-agent
+
+ ## Implementation Details
+
+ ### Core Components
+
+ 1. **Agent Executor Setup**: Configure LangChain AgentExecutor with appropriate settings
+ 2. **Tool Integration**: Bind tools with proper schemas and descriptions
+ 3. **Prompt Engineering**: Design system prompts for ReAct reasoning patterns
+ 4. **Output Parsing**: Parse agent outputs and handle structured responses
+
+ ### Configuration Options
+
+ - LLM model selection and parameters
+ - Tool definitions and schemas
+ - Memory type (buffer, summary, vector)
+ - Max iterations and timeout settings
+ - Verbose/debug mode configuration
+
+ ### Dependencies
+
+ - langchain
+ - langchain-openai / langchain-anthropic
+ - Python 3.9+