mirror of
https://github.com/BerriAI/litellm.git
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ab78459097
Response transformation crashed with TypeError when counting tokens for multimodal (dict-shaped) embedding inputs, since encoding.encode() was called directly on the dict instead of its text parts. Also removed a dead, equally-buggy duplicate of the same loop in _transform_response. Separately, the embeddings guardrail handler silently skipped multimodal dict inputs instead of scanning them, letting prohibited text/image content bypass the configured guardrail. It now extracts and scans the text parts while leaving image parts untouched.
28 lines
1.3 KiB
JSON
28 lines
1.3 KiB
JSON
[
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{
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"name": "TEMPLATE: copy this block for a new plugin, then delete this entry",
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"description": "One line on what the plugin does and the routing signal it publishes.",
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"author": "Plugin author's name.",
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"repo": "https://github.com/<owner>/<repo> (public source repository).",
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"commit": "Full 40-char git SHA to pin when the plugin is not yet on PyPI; omit once 'pypi' is set.",
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"version": "Plugin release version, e.g. 1.0.0.",
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"pypi": "PyPI spec pinned to a version, e.g. my-plugin==1.0.0, or null if unpublished.",
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"litellm_version": "Minimum compatible litellm version, e.g. >=1.94.0.",
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"entrypoint": "Dotted import path to the plugin instance, e.g. my_plugin.plugin.instance.",
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"license": "SPDX license id, e.g. MIT.",
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"tags": ["searchable", "keywords"]
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},
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{
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"name": "language-detector",
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"description": "Detects the user's language and publishes a routing signal.",
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"author": "Jean Nuñez",
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"repo": "https://github.com/jeann2013/language-detector",
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"commit": "9e712819269173fc25a16f59ca3e9890f7864ac1",
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"version": "1.0.0",
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"pypi": null,
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"litellm_version": ">=1.94.0",
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"entrypoint": "litellm_plugin_language_detector.plugin.language_detector_plugin",
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"license": "MIT",
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"tags": ["language", "classification", "routing"]
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}
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]
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