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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.
21 lines
498 B
JSON
21 lines
498 B
JSON
{
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"dependencies": {
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"prism-react-renderer": "2.4.1",
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"prisma": "5.17.0",
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"react-copy-to-clipboard": "5.1.1"
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},
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"devDependencies": {
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"@testing-library/jest-dom": "6.8.0",
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"@testing-library/react": "14.3.1",
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"@types/react-copy-to-clipboard": "5.0.7",
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"jest": "29.7.0"
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},
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"overrides": {
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"glob": "13.0.0",
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"minimatch": "10.2.5",
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"picomatch": "2.3.2",
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"@isaacs/brace-expansion": "5.0.0",
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"@babel/traverse": "7.28.5",
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"braces": "3.0.3"
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}
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}
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