llama-stack-mirror/llama_stack/providers/remote
Ashwin Bharambe 63e6acd0c3
feat: add (openai, anthropic, gemini) providers via litellm (#1267)
# What does this PR do?

This PR introduces more non-llama model support to llama stack.
Providers introduced: openai, anthropic and gemini. All of these
providers use essentially the same piece of code -- the implementation
works via the `litellm` library.

We will expose only specific models for providers we enable making sure
they all work well and pass tests. This setup (instead of automatically
enabling _all_ providers and models allowed by LiteLLM) ensures we can
also perform any needed prompt tuning on a per-model basis as needed
(just like we do it for llama models.)

## Test Plan

```bash
#!/bin/bash

args=("$@")
for model in openai/gpt-4o anthropic/claude-3-5-sonnet-latest gemini/gemini-1.5-flash; do
    LLAMA_STACK_CONFIG=dev pytest -s -v tests/client-sdk/inference/test_text_inference.py \
        --embedding-model=all-MiniLM-L6-v2 \
        --vision-inference-model="" \
        --inference-model=$model "${args[@]}"
done
```
2025-02-25 22:07:33 -08:00
..
agents build: format codebase imports using ruff linter (#1028) 2025-02-13 10:06:21 -08:00
datasetio build: format codebase imports using ruff linter (#1028) 2025-02-13 10:06:21 -08:00
inference feat: add (openai, anthropic, gemini) providers via litellm (#1267) 2025-02-25 22:07:33 -08:00
safety chore: move all Llama Stack types from llama-models to llama-stack (#1098) 2025-02-14 09:10:59 -08:00
tool_runtime fix: Get distro_codegen.py working with default deps and enabled in pre-commit hooks (#1123) 2025-02-19 18:39:20 -08:00
vector_io chore: move all Llama Stack types from llama-models to llama-stack (#1098) 2025-02-14 09:10:59 -08:00
__init__.py impls -> inline, adapters -> remote (#381) 2024-11-06 14:54:05 -08:00