deps(lora): bump the lora-deps group across 1 directory with 3 updates

[dependabot]

Updates the requirements on fastapi, transformers and azure-ai-ml to permit the latest version.
Updates fastapi to 0.139.2

Release notes

Sourced from fastapi's releases.

0.139.2

Fixes

• 🐛 Refactor router route building to make it thread-safe, mainly relevant for tests running in parallel threads (uncommon). PR #16013 by @​tiangolo.

Commits

• 866b7a3 🔖 Release version 0.139.2 (#16014)
• 7b3effe 📝 Update release notes
• 7fe315c 🐛 Refactor router route building to make it thread-safe, mainly relevant for ...
• c48e67b 🔖 Release version 0.139.1 (#16012)
• 2acc4fb 📝 Update release notes
• eb75fd0 🐛 Fix frontend fallback support for doted paths like /users/john.doe (#16011)
• 9b8410b 📝 Update release notes
• e24d44c 📝 Fix topic repository list not being displayed and skip_users not being ap...
• 93b78f8 📝 Update release notes
• b959b44 📝 Update release notes
• Additional commits viewable in compare view

Updates transformers to 5.14.1

Release notes

Sourced from transformers's releases.

Patch release: v5.14.1

Patch release v5.14.1

This patch solves a few issues which appeared when integrating Inkling model, most notably an issue affecting models using EncoderDecoderCache during assisted generation. It also fixes an issue that could appear during prefill with StaticCache and sdpa without padding for Inkling which uses a position_bias. It contains the following commits:

• Fix sdpa prefill with position_bias (#47359) by @​Cyrilvallez
• Fix assisted decoding for models with EncoderDecoder cache & OlmoHybrid (#47361) by @​Cyrilvallez
• [FP8] Bump kernels version (#47344) by @​vasqu
• Fix deepgemm on multiple devices (#47323) by @​IlyasMoutawwakil

Commits

• a08ace4 Release: v4.14.1
• 1ccf4f1 Fix deepgemm on multiple devices (#47323)
• c98cc10 [FP8] Bump kernels version (#47344)
• e035e45 Fix assisted decoding for models with EncoderDecoder cache & OlmoHybrid (#47361)
• 0eb5e03 Fix sdpa prefill with position_bias (#47359)
• 2fa8c19 v5.14.0
• 6c9318e fix feature extraction
• 8f23330 Small improvement (#47348)
• 76613e6 Add Inkling model (#47347)
• f5a67a4 🚨 Pass tp_plan from lm_heads (#47253)
• Additional commits viewable in compare view

Updates azure-ai-ml to 1.34.1

Release notes

Sourced from azure-ai-ml's releases.

azure-ai-ml_1.34.1

1.34.1 (2026-07-15)

Bugs Fixed

• Fixed datastore create failing with TypeError: Object of type Datastore is not JSON serializable. The datastore operation was migrated to the TypeSpec client while the datastore entity still produced a legacy msrest model; the request body is now serialized to its wire form before being sent, keeping the on-the-wire request unchanged.
• Fixed BatchEndpoint defaults serialization regression where deployment_name was sent to the service as snake_case instead of camelCase (deploymentName), causing begin_create_or_update to fail with "Could not find member 'deployment_name' on object of type 'BatchEndpointDefaults'". Serialization now emits the correct camelCase wire format, while BatchEndpoint.defaults returned from get() continues to expose an object that supports attribute access (e.g. endpoint.defaults.deployment_name), preserving backward compatibility with existing code and samples.

Commits

• 1521637 Update CHANGELOG.md
• decb482 Update CHANGELOG.md
• 76233f8 Cherrypick- Fix BatchEndpoint.defaults regression: restore attribute-access o...
• 0b2bbd2 Cherry-pick for Fix batchendpoint defaults serialisation (#47497) (#47606)
• See full diff in compare view

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