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

•

1,030

Data Science & ML

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

About

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.

Key Features

Fixes module and import errors related to LangChain's modular 0.2.0+ package structure
Debugs output parsing failures and Pydantic validation errors in structured data extraction
Troubleshoots authentication and API key issues for major providers like OpenAI and Anthropic
Resolves rate limiting issues by implementing retry logic and exponential backoff
Diagnoses chain input mismatches and AgentExecutor infinite loop scenarios
1,030 GitHub stars

Use Cases

Identifying the root cause of 'ModuleNotFoundError' after upgrading LangChain versions
Fixing an AgentExecutor that is stuck in a loop or hitting maximum iteration limits
Resolving '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

GitHub