simonw--llm
Simon Willison
39 行
1.3 KiB
Python
39 行
1.3 KiB
Python
import importlib
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from importlib import metadata
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import os
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import pluggy
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import sys
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from . import hookspecs
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DEFAULT_PLUGINS = ("llm.default_plugins.openai_models",)
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pm = pluggy.PluginManager("llm")
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pm.add_hookspecs(hookspecs)
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LLM_LOAD_PLUGINS = os.environ.get("LLM_LOAD_PLUGINS", None)
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if not hasattr(sys, "_called_from_test") and LLM_LOAD_PLUGINS is None:
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# Only load plugins if not running tests
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pm.load_setuptools_entrypoints("llm")
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# Load any plugins specified in LLM_LOAD_PLUGINS")
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if LLM_LOAD_PLUGINS is not None:
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for package_name in [name for name in LLM_LOAD_PLUGINS.split(",") if name.strip()]:
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try:
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distribution = metadata.distribution(package_name) # Updated call
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llm_entry_points = [
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ep for ep in distribution.entry_points if ep.group == "llm"
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]
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for entry_point in llm_entry_points:
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mod = entry_point.load()
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pm.register(mod, name=entry_point.name)
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# Ensure name can be found in plugin_to_distinfo later:
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pm._plugin_distinfo.append((mod, distribution)) # type: ignore
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except metadata.PackageNotFoundError:
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sys.stderr.write(f"Plugin {package_name} could not be found\n")
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for plugin in DEFAULT_PLUGINS:
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mod = importlib.import_module(plugin)
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pm.register(mod, plugin)
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