llama-stack-mirror/llama_stack/providers/remote
Sébastien Han b9961c8735
fix: add token to the openai request
OpenAIMixin expects to use an API key and creates its own AsyncOpenAI
client. So our code now authenticate with the Google service, retrieves
a token and pass it to the OpenAI client.
Falls back to an empty string if credentials can't be obtained (letting
LiteLLM handle ADC directly).

Signed-off-by: Sébastien Han <seb@redhat.com>
2025-09-10 15:22:10 +02:00
..
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: add token to the openai request 2025-09-10 15:22:10 +02:00
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