llama-stack-mirror/llama_stack/distributions/ci-tests/build.yaml
Eran Cohen a4bad6c0b4
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feat: Add Google Vertex AI inference provider support (#2841)
# What does this PR do?
- Add new Vertex AI remote inference provider with litellm integration
- Support for Gemini models through Google Cloud Vertex AI platform
- Uses Google Cloud Application Default Credentials (ADC) for
authentication
- Added VertexAI models: gemini-2.5-flash, gemini-2.5-pro,
gemini-2.0-flash.
- Updated provider registry to include vertexai provider
- Updated starter template to support Vertex AI configuration
- Added comprehensive documentation and sample configuration

<!-- If resolving an issue, uncomment and update the line below -->
relates to https://github.com/meta-llama/llama-stack/issues/2747

## Test Plan
<!-- Describe the tests you ran to verify your changes with result
summaries. *Provide clear instructions so the plan can be easily
re-executed.* -->

Signed-off-by: Eran Cohen <eranco@redhat.com>
Co-authored-by: Francisco Arceo <arceofrancisco@gmail.com>
2025-08-11 08:22:04 -04:00

55 lines
1.7 KiB
YAML

version: 2
distribution_spec:
description: CI tests for Llama Stack
providers:
inference:
- provider_type: remote::cerebras
- provider_type: remote::ollama
- provider_type: remote::vllm
- provider_type: remote::tgi
- provider_type: remote::fireworks
- provider_type: remote::together
- provider_type: remote::bedrock
- provider_type: remote::nvidia
- provider_type: remote::openai
- provider_type: remote::anthropic
- provider_type: remote::gemini
- provider_type: remote::vertexai
- provider_type: remote::groq
- provider_type: remote::sambanova
- provider_type: inline::sentence-transformers
vector_io:
- provider_type: inline::faiss
- provider_type: inline::sqlite-vec
- provider_type: inline::milvus
- provider_type: remote::chromadb
- provider_type: remote::pgvector
files:
- provider_type: inline::localfs
safety:
- provider_type: inline::llama-guard
agents:
- provider_type: inline::meta-reference
telemetry:
- provider_type: inline::meta-reference
post_training:
- provider_type: inline::huggingface
eval:
- provider_type: inline::meta-reference
datasetio:
- provider_type: remote::huggingface
- provider_type: inline::localfs
scoring:
- provider_type: inline::basic
- provider_type: inline::llm-as-judge
- provider_type: inline::braintrust
tool_runtime:
- provider_type: remote::brave-search
- provider_type: remote::tavily-search
- provider_type: inline::rag-runtime
- provider_type: remote::model-context-protocol
image_type: venv
additional_pip_packages:
- aiosqlite
- asyncpg
- sqlalchemy[asyncio]