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https://github.com/BerriAI/litellm.git
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1ee4b62e9c
Python resolves the Vertex project and location as call params, then the litellm.vertex_project / litellm.vertex_location globals, then env, and Azure AD token refresh from litellm.enable_azure_ad_token_refresh alone. Native OCR skipped the globals, so a config.yaml litellm_settings value silently fell through to the credential's project and us-central1, and a managed identity setup without an API key failed. The bridge now reads them through a provider_defaults settings group into OcrSettings, and VertexConfig / AzureAuthInputs slot them in at Python's precedence. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
22 lines
447 B
TOML
22 lines
447 B
TOML
[package]
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name = "litellm-auth-azure"
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version = "0.1.0"
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edition.workspace = true
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license.workspace = true
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repository.workspace = true
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[dependencies]
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litellm-auth.workspace = true
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moka.workspace = true
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serde_json.workspace = true
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sha2.workspace = true
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strum.workspace = true
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url.workspace = true
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azure_core = "1.0.0"
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azure_identity = { version = "1.0.0", features = ["tokio"] }
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[dev-dependencies]
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rstest.workspace = true
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tokio.workspace = true
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