Pattern preview · 12 of 4,089 sample rules shown · site-specific intelligence stays private
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Sample rules shown
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Tier-1 (public)
4,089
Tier-2 (your patterns)
private to your site
import_errors
infrastructure-import-errors-importing-asyncchromiumloader-raises-attributeerro-15414f48
IFImporting AsyncChromiumLoader raises AttributeError: COBOL due to a missing enum entry in the Language parser.
THENEnsure the Language enum includes COBOL by updating the underlying library or the langchain-community code. If using an older version, upgrade langchain-community and its dependencies. As a temporary workaround, patch language_parser.py to skip unsupported languages by wrapping the dictionary lookup in a try-except.
Tier 170%
import_errors
infrastructure-import-errors-importerror-cannot-import-name-global-handler-from-ea7a820e
IFImportError: cannot import name 'global_handler' from 'llama_index.core' when using Ollama or other LLM classes.
THENInstead of importing 'global_handler' directly from 'llama_index.core', call 'set_global_handler' from 'llama_index.callbacks.global_handlers' with your desired evaluation mode and parameters. This function dynamically sets the global handler, which can then be accessed via 'llama_index.global_handler'.
Tier 170%
import_errors
ai-agents-import-errors-importerror-cannot-import-name-global-handler-from-7932a84a
IFImportError: cannot import name 'global_handler' from 'llama_index.core' when using llama_index v0.10.x or later.
THENCreate a fresh virtual environment, uninstall any existing llama-index, then install the latest version from PyPI or from source. If you need to use global_handler, call set_global_handler from llama_index.callbacks.global_handlers before accessing llama_index.global_handler.
Tier 170%
import_errors
ai-agents-import-errors-when-using-llama-index-version-0-10-11-or-later-im-9a56bbfd
IFWhen using llama_index version 0.10.11 or later, importing Ollama and initializing it fails with ImportError: cannot import name 'global_handler' from 'llama_index.core'.
THENThe 'global_handler' is dynamically set via the 'set_global_handler' function from 'llama_index.callbacks.global_handlers'. Before using any LLM integration (e.g., Ollama) that triggers the handler, call 'set_global_handler' with the appropriate evaluation mode. Alternatively, ensure a fresh virtual environment and install the latest llama-index from source using 'pip install git+https://github.com/run-llama/llama_index.git'.
Tier 170%
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