forked from phoenix-oss/llama-stack-mirror
* verify dockers * together distro verified * readme * fireworks distro * fireworks compose up * fireworks verified |
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.. | ||
build.yaml | ||
compose.yaml | ||
README.md | ||
run.yaml |
Together Distribution
Connect to a Llama Stack Together Endpoint
- You may connect to a hosted endpoint
https://llama-stack.together.ai
, serving a Llama Stack distribution
The llamastack/distribution-together
distribution consists of the following provider configurations.
API | Inference | Agents | Memory | Safety | Telemetry |
---|---|---|---|---|---|
Provider(s) | remote::together | meta-reference | remote::weaviate | meta-reference | meta-reference |
Start the Distribution (Single Node CPU)
Note
This assumes you have an hosted endpoint at Together with API Key.
$ cd llama-stack/distribution/together
$ ls
compose.yaml run.yaml
$ docker compose up
Make sure in you run.yaml
file, you inference provider is pointing to the correct Together URL server endpoint. E.g.
inference:
- provider_id: together
provider_type: remote::together
config:
url: https://api.together.xyz/v1
api_key: <optional api key>
(Alternative) TGI server + llama stack run (Single Node GPU)
docker run --network host -it -p 5000:5000 -v ./run.yaml:/root/my-run.yaml --gpus=all llamastack/distribution-together --yaml_config /root/my-run.yaml
Make sure in you run.yaml
file, you inference provider is pointing to the correct Together URL server endpoint. E.g.
inference:
- provider_id: together
provider_type: remote::together
config:
url: https://api.together.xyz/v1
api_key: <optional api key>
Together distribution comes with weaviate as Memory provider. We also need to configure the remote weaviate API key and URL in run.yaml
to get memory API.
memory:
- provider_id: meta0
provider_type: remote::weaviate
config:
weaviate_api_key: <ENTER_WEAVIATE_API_KEY>
weaviate_cluster_url: <ENTER_WEAVIATE_CLUSTER_URL>
Via Conda
llama stack build --config ./build.yaml
# -- modify run.yaml to a valid Together server endpoint
llama stack run ./run.yaml