llama-stack-mirror/llama_stack/providers/remote
Akram Ben Aissi 5e74bc7fcf Add dynamic authentication token forwarding support for vLLM provider
This enables per-request authentication tokens for vLLM providers, supporting use cases like RAG operations where different requests may need different authentication tokens. The implementation follows the same pattern as other providers like Together AI, Fireworks, and Passthrough.

- Add LiteLLMOpenAIMixin that manages the vllm_api_token properly

Usage:

- Static: VLLM_API_TOKEN env var or config.api_token
- Dynamic: X-LlamaStack-Provider-Data header with vllm_api_token
All existing functionality is preserved while adding new dynamic capabilities.

Signed-off-by: Akram Ben Aissi <akram.benaissi@gmail.com>
2025-09-15 13:01:12 +01:00
..
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 Add dynamic authentication token forwarding support for vLLM provider 2025-09-15 13:01:12 +01:00
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