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feat: reference implementation for files API (#2330) 
# What does this PR do?
TSIA
Added Files provider to the fireworks template. Might want to add to all
templates as a follow-up.

## Test Plan
llama-stack pytest tests/unit/files/test_files.py

llama-stack llama stack build --template fireworks --image-type conda
--run
LLAMA_STACK_CONFIG=http://localhost:8321 pytest -s -v
tests/integration/files/
2025-06-02 21:54:24 -07:00

3.1 KiB
Raw Blame History

orphan
true

Fireworks Distribution

:maxdepth: 2
:hidden:

self

The llamastack/distribution-fireworks distribution consists of the following provider configurations.

API Provider(s)
agents inline::meta-reference
datasetio remote::huggingface, inline::localfs
eval inline::meta-reference
files inline::localfs
inference remote::fireworks, inline::sentence-transformers
safety inline::llama-guard
scoring inline::basic, inline::llm-as-judge, inline::braintrust
telemetry inline::meta-reference
tool_runtime remote::brave-search, remote::tavily-search, remote::wolfram-alpha, inline::rag-runtime, remote::model-context-protocol
vector_io inline::faiss, remote::chromadb, remote::pgvector

Environment Variables

The following environment variables can be configured:

  • LLAMA_STACK_PORT: Port for the Llama Stack distribution server (default: 8321)
  • FIREWORKS_API_KEY: Fireworks.AI API Key (default: ``)

Models

The following models are available by default:

  • accounts/fireworks/models/llama-v3p1-8b-instruct (aliases: meta-llama/Llama-3.1-8B-Instruct)
  • accounts/fireworks/models/llama-v3p1-70b-instruct (aliases: meta-llama/Llama-3.1-70B-Instruct)
  • accounts/fireworks/models/llama-v3p1-405b-instruct (aliases: meta-llama/Llama-3.1-405B-Instruct-FP8)
  • accounts/fireworks/models/llama-v3p2-3b-instruct (aliases: meta-llama/Llama-3.2-3B-Instruct)
  • accounts/fireworks/models/llama-v3p2-11b-vision-instruct (aliases: meta-llama/Llama-3.2-11B-Vision-Instruct)
  • accounts/fireworks/models/llama-v3p2-90b-vision-instruct (aliases: meta-llama/Llama-3.2-90B-Vision-Instruct)
  • accounts/fireworks/models/llama-v3p3-70b-instruct (aliases: meta-llama/Llama-3.3-70B-Instruct)
  • accounts/fireworks/models/llama-guard-3-8b (aliases: meta-llama/Llama-Guard-3-8B)
  • accounts/fireworks/models/llama-guard-3-11b-vision (aliases: meta-llama/Llama-Guard-3-11B-Vision)
  • accounts/fireworks/models/llama4-scout-instruct-basic (aliases: meta-llama/Llama-4-Scout-17B-16E-Instruct)
  • accounts/fireworks/models/llama4-maverick-instruct-basic (aliases: meta-llama/Llama-4-Maverick-17B-128E-Instruct)
  • nomic-ai/nomic-embed-text-v1.5

Prerequisite: API Keys

Make sure you have access to a Fireworks API Key. You can get one by visiting fireworks.ai.

Running Llama Stack with Fireworks

You can do this via Conda (build code) or Docker which has a pre-built image.

Via Docker

This method allows you to get started quickly without having to build the distribution code.

LLAMA_STACK_PORT=8321
docker run \
  -it \
  --pull always \
  -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
  llamastack/distribution-fireworks \
  --port $LLAMA_STACK_PORT \
  --env FIREWORKS_API_KEY=$FIREWORKS_API_KEY

Via Conda

llama stack build --template fireworks --image-type conda
llama stack run ./run.yaml \
  --port $LLAMA_STACK_PORT \
  --env FIREWORKS_API_KEY=$FIREWORKS_API_KEY