skamenan7 c752209ee4 fix bedrock inference profile IDs for AWS regions ... AWS switched to requiring region-prefixed inference profile IDs instead of foundation model IDs. Added auto-detection based on boto3 client region to convert model IDs like meta.llama3-1-70b-instruct-v1:0 to us.meta.llama3-1-70b-instruct-v1:0 depending on the region. Handles edge cases like ARNs, case sensitivity, and None regions. This fixes the ValidationException error when using on-demand throughput.		2025-09-10 09:18:07 -04:00
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agents	test: add unit test to ensure all config types are instantiable (#1601)	2025-03-12 22:29:58 -07:00
datasetio	chore(misc): make tests and starter faster (#3042)	2025-08-05 14:55:05 -07:00
eval	chore(rename): move llama_stack.distribution to llama_stack.core (#2975)	2025-07-30 23:30:53 -07:00
files/s3	feat(files, s3, expiration): add expires_after support to S3 files provider (#3283)	2025-08-29 16:17:24 -07:00
inference	fix bedrock inference profile IDs for AWS regions	2025-09-10 09:18:07 -04:00
post_training	refactor(logging): rename llama_stack logger categories (#3065)	2025-08-21 17:31:04 -07:00
safety	refactor(logging): rename llama_stack logger categories (#3065)	2025-08-21 17:31:04 -07:00
tool_runtime	chore(rename): move llama_stack.distribution to llama_stack.core (#2975)	2025-07-30 23:30:53 -07:00
vector_io	feat: implement keyword, vector and hybrid search inside vector stores for PGVector provider (#3064)	2025-08-29 16:30:12 +02:00
__init__.py	impls -> inline, adapters -> remote (#381)	2024-11-06 14:54:05 -08:00