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fireworks distro
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distributions/fireworks/README.md
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distributions/fireworks/README.md
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# Fireworks Distribution
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The `llamastack/distribution-` distribution consists of the following provider configurations.
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| **API** | **Inference** | **Agents** | **Memory** | **Safety** | **Telemetry** |
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|----------------- |--------------- |---------------- |-------------------------------------------------- |---------------- |---------------- |
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| **Provider(s)** | remote::fireworks | meta-reference | meta-reference | meta-reference | meta-reference |
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### Start the Distribution (Single Node CPU)
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> [!NOTE]
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> This assumes you have an hosted endpoint at Fireworks with API Key.
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```
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$ cd llama-stack/distribution/fireworks
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$ ls
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compose.yaml run.yaml
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$ docker compose up
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```
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Make sure in you `run.yaml` file, you inference provider is pointing to the correct Fireworks URL server endpoint. E.g.
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```
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inference:
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- provider_id: fireworks
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provider_type: remote::fireworks
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config:
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url: https://api.fireworks.ai/inferenc
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api_key: <optional api key>
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```
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### (Alternative) TGI server + llama stack run (Single Node GPU)
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```
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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
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```
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Make sure in you `run.yaml` file, you inference provider is pointing to the correct Fireworks URL server endpoint. E.g.
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```
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inference:
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- provider_id: fireworks
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provider_type: remote::fireworks
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config:
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url: https://api.fireworks.ai/inference
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api_key: <optional api key>
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```
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**Via Conda**
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```bash
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llama stack build --config ./build.yaml
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# -- modify run.yaml to a valid Fireworks server endpoint
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llama stack run ./run.yaml
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```
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safety: meta-reference
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safety: meta-reference
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agents: meta-reference
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agents: meta-reference
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telemetry: meta-reference
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telemetry: meta-reference
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image_type: conda
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image_type: docker
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distributions/fireworks/compose.yaml
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distributions/fireworks/compose.yaml
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distributions/fireworks/run.yaml
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distributions/fireworks/run.yaml
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version: '2'
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built_at: '2024-10-08T17:40:45.325529'
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image_name: local
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docker_image: null
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conda_env: local
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apis:
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- shields
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- agents
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- models
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- memory
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- memory_banks
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- inference
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- safety
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providers:
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inference:
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- provider_id: fireworks0
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provider_type: remote::fireworks
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config:
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url: https://api.fireworks.ai/inference
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safety:
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- provider_id: meta0
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provider_type: meta-reference
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config:
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llama_guard_shield:
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model: Llama-Guard-3-1B
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excluded_categories: []
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disable_input_check: false
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disable_output_check: false
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prompt_guard_shield:
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model: Prompt-Guard-86M
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memory:
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- provider_id: meta0
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provider_type: meta-reference
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config: {}
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agents:
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- provider_id: meta0
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provider_type: meta-reference
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config:
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persistence_store:
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namespace: null
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type: sqlite
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db_path: ~/.llama/runtime/kvstore.db
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telemetry:
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- provider_id: meta0
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provider_type: meta-reference
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config: {}
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@ -23,13 +23,14 @@ compose.yaml run.yaml
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$ docker compose up
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$ docker compose up
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```
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```
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Replace <ENTER_YOUR_TGI_HOSTED_ENDPOINT> in `run.yaml` file with your TGI endpoint.
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Make sure in you `run.yaml` file, you inference provider is pointing to the correct Together URL server endpoint. E.g.
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```
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```
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inference:
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inference:
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- provider_id: tgi0
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- provider_id: together
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provider_type: remote::tgi
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provider_type: remote::together
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config:
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config:
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url: <ENTER_YOUR_TGI_HOSTED_ENDPOINT>
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url: https://api.together.xyz/v1
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api_key: <optional api key>
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```
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```
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### (Alternative) TGI server + llama stack run (Single Node GPU)
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### (Alternative) TGI server + llama stack run (Single Node GPU)
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