add more distro templates (#279)

* verify dockers

* together distro verified

* readme

* fireworks distro

* fireworks compose up

* fireworks verified
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Xi Yan 2024-10-21 18:15:08 -07:00 committed by GitHub
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# Fireworks Distribution
The `llamastack/distribution-` distribution consists of the following provider configurations.
| **API** | **Inference** | **Agents** | **Memory** | **Safety** | **Telemetry** |
|----------------- |--------------- |---------------- |-------------------------------------------------- |---------------- |---------------- |
| **Provider(s)** | remote::fireworks | meta-reference | meta-reference | meta-reference | meta-reference |
### Start the Distribution (Single Node CPU)
> [!NOTE]
> This assumes you have an hosted endpoint at Fireworks with API Key.
```
$ cd llama-stack/distribution/fireworks
$ ls
compose.yaml run.yaml
$ docker compose up
```
Make sure in you `run.yaml` file, you inference provider is pointing to the correct Fireworks URL server endpoint. E.g.
```
inference:
- provider_id: fireworks
provider_type: remote::fireworks
config:
url: https://api.fireworks.ai/inferenc
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-fireworks --yaml_config /root/my-run.yaml
```
Make sure in you `run.yaml` file, you inference provider is pointing to the correct Fireworks URL server endpoint. E.g.
```
inference:
- provider_id: fireworks
provider_type: remote::fireworks
config:
url: https://api.fireworks.ai/inference
api_key: <optional api key>
```
**Via Conda**
```bash
llama stack build --config ./build.yaml
# -- modify run.yaml to a valid Fireworks server endpoint
llama stack run ./run.yaml
```

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safety: meta-reference
agents: meta-reference
telemetry: meta-reference
image_type: conda
image_type: docker

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services:
llamastack:
image: llamastack/distribution-fireworks
network_mode: "host"
volumes:
- ~/.llama:/root/.llama
# Link to ollama run.yaml file
- ./run.yaml:/root/llamastack-run-fireworks.yaml
ports:
- "5000:5000"
# Hack: wait for ollama server to start before starting docker
entrypoint: bash -c "python -m llama_stack.distribution.server.server --yaml_config /root/llamastack-run-fireworks.yaml"
deploy:
restart_policy:
condition: on-failure
delay: 3s
max_attempts: 5
window: 60s

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version: '2'
built_at: '2024-10-08T17:40:45.325529'
image_name: local
docker_image: null
conda_env: local
apis:
- shields
- agents
- models
- memory
- memory_banks
- inference
- safety
providers:
inference:
- provider_id: fireworks0
provider_type: remote::fireworks
config:
url: https://api.fireworks.ai/inference
safety:
- provider_id: meta0
provider_type: meta-reference
config:
llama_guard_shield:
model: Llama-Guard-3-1B
excluded_categories: []
disable_input_check: false
disable_output_check: false
prompt_guard_shield:
model: Prompt-Guard-86M
memory:
- provider_id: meta0
provider_type: meta-reference
config: {}
agents:
- provider_id: meta0
provider_type: meta-reference
config:
persistence_store:
namespace: null
type: sqlite
db_path: ~/.llama/runtime/kvstore.db
telemetry:
- provider_id: meta0
provider_type: meta-reference
config: {}