How does this skill help with LangChain version updates?

It provides the correct import paths for the 0.2.0+ modular structure, helping you resolve 'ImportError' and 'ModuleNotFoundError' when migrating from older versions.

Does it support specific LLM providers?

It includes troubleshooting steps for OpenAI, Anthropic, and Google Generative AI, focusing on authentication and package installation.

What if my LLM output doesn't match the expected schema?

The skill suggests using RetryOutputParsers or the 'with_structured_output' method with Pydantic models to handle and correct parsing exceptions.

Can it fix agent loop issues?

Yes, it provides specific solutions for 'max iterations reached' errors by adjusting AgentExecutor parameters or optimizing early stopping methods.

How do I enable deep debugging with this skill?

The skill provides instructions for enabling LangChain's verbose mode and setting up LangSmith tracing for complete observability of your chain steps.

LangChain Error Diagnosis

Name: LangChain Error Diagnosis
Author: jeremylongshore

byjeremylongshore

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1,030

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데이터 과학 및 ML

Diagnoses and resolves common LangChain errors, exceptions, and integration issues to streamline AI application development.

The LangChain Common Errors skill is a specialized debugging companion for developers building LLM-powered applications. It provides instant access to solutions for frequent hurdles such as authentication failures, legacy import paths, rate limiting, and complex output parsing issues. By offering structured guidance on debugging chains, agents, and memory components, this skill helps developers significantly reduce downtime and improve the reliability of their LangChain implementations through interactive troubleshooting and code-based fixes.

주요 기능

01Fixes module and import errors related to LangChain's modular 0.2.0+ package structure

02Debugs output parsing failures and Pydantic validation errors in structured data extraction

03Troubleshoots authentication and API key issues for major providers like OpenAI and Anthropic

04Resolves rate limiting issues by implementing retry logic and exponential backoff

05Diagnoses chain input mismatches and AgentExecutor infinite loop scenarios

061,030 GitHub stars

사용 사례

01Identifying the root cause of 'ModuleNotFoundError' after upgrading LangChain versions

02Fixing an AgentExecutor that is stuck in a loop or hitting maximum iteration limits

03Resolving 'KeyError' issues when configuring chat history memory in complex conversational chains

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills langchain-common-errors

For use in Claude.ai and ChatGPT

Download Skill

주요 기능

01Fixes module and import errors related to LangChain's modular 0.2.0+ package structure

02Debugs output parsing failures and Pydantic validation errors in structured data extraction

03Troubleshoots authentication and API key issues for major providers like OpenAI and Anthropic

04Resolves rate limiting issues by implementing retry logic and exponential backoff

05Diagnoses chain input mismatches and AgentExecutor infinite loop scenarios

061,030 GitHub stars

사용 사례

01Identifying the root cause of 'ModuleNotFoundError' after upgrading LangChain versions

02Fixing an AgentExecutor that is stuck in a loop or hitting maximum iteration limits

03Resolving 'KeyError' issues when configuring chat history memory in complex conversational chains

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills langchain-common-errors

For use in Claude.ai and ChatGPT

Download Skill