mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-12-16 22:12:37 +00:00
209a78b618
# What does this PR do? Adds OCI GenAI PaaS models for openai chat completion endpoints. ## Test Plan In an OCI tenancy with access to GenAI PaaS, perform the following steps: 1. Ensure you have IAM policies in place to use service (check docs included in this PR) 2. For local development, [setup OCI cli](https://docs.oracle.com/en-us/iaas/Content/API/SDKDocs/cliinstall.htm) and configure the CLI with your region, tenancy, and auth [here](https://docs.oracle.com/en-us/iaas/Content/API/SDKDocs/cliconfigure.htm) 3. Once configured, go through llama-stack setup and run llama-stack (uses config based auth) like: ```bash OCI_AUTH_TYPE=config_file \ OCI_CLI_PROFILE=CHICAGO \ OCI_REGION=us-chicago-1 \ OCI_COMPARTMENT_OCID=ocid1.compartment.oc1..aaaaaaaa5...5a \ llama stack run oci ``` 4. Hit the `models` endpoint to list models after server is running: ```bash curl http://localhost:8321/v1/models | jq ... { "identifier": "meta.llama-4-scout-17b-16e-instruct", "provider_resource_id": "ocid1.generativeaimodel.oc1.us-chicago-1.am...q", "provider_id": "oci", "type": "model", "metadata": { "display_name": "meta.llama-4-scout-17b-16e-instruct", "capabilities": [ "CHAT" ], "oci_model_id": "ocid1.generativeaimodel.oc1.us-chicago-1.a...q" }, "model_type": "llm" }, ... ``` 5. Use the "display_name" field to use the model in a `/chat/completions` request: ```bash # Streaming result curl -X POST http://localhost:8321/v1/chat/completions -H "Content-Type: application/json" -d '{ "model": "meta.llama-4-scout-17b-16e-instruct", "stream": true, "temperature": 0.9, "messages": [ { "role": "system", "content": "You are a funny comedian. You can be crass." }, { "role": "user", "content": "Tell me a funny joke about programming." } ] }' # Non-streaming result curl -X POST http://localhost:8321/v1/chat/completions -H "Content-Type: application/json" -d '{ "model": "meta.llama-4-scout-17b-16e-instruct", "stream": false, "temperature": 0.9, "messages": [ { "role": "system", "content": "You are a funny comedian. You can be crass." }, { "role": "user", "content": "Tell me a funny joke about programming." } ] }' ``` 6. Try out other models from the `/models` endpoint.
35 lines
1 KiB
YAML
35 lines
1 KiB
YAML
version: 2
|
|
distribution_spec:
|
|
description: Use Oracle Cloud Infrastructure (OCI) Generative AI for running LLM
|
|
inference with scalable cloud services
|
|
providers:
|
|
inference:
|
|
- provider_type: remote::oci
|
|
vector_io:
|
|
- provider_type: inline::faiss
|
|
- provider_type: remote::chromadb
|
|
- provider_type: remote::pgvector
|
|
safety:
|
|
- provider_type: inline::llama-guard
|
|
agents:
|
|
- provider_type: inline::meta-reference
|
|
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
|
|
files:
|
|
- provider_type: inline::localfs
|
|
image_type: venv
|
|
additional_pip_packages:
|
|
- aiosqlite
|
|
- sqlalchemy[asyncio]
|