llama-stack/llama_stack/providers/tests
Ashwin Bharambe 8de8eb03c8
Update the "InterleavedTextMedia" type (#635)
## What does this PR do?

This is a long-pending change and particularly important to get done
now.

Specifically:
- we cannot "localize" (aka download) any URLs from media attachments
anywhere near our modeling code. it must be done within llama-stack.
- `PIL.Image` is infesting all our APIs via `ImageMedia ->
InterleavedTextMedia` and that cannot be right at all. Anything in the
API surface must be "naturally serializable". We need a standard `{
type: "image", image_url: "<...>" }` which is more extensible
- `UserMessage`, `SystemMessage`, etc. are moved completely to
llama-stack from the llama-models repository.

See https://github.com/meta-llama/llama-models/pull/244 for the
corresponding PR in llama-models.

## Test Plan

```bash
cd llama_stack/providers/tests

pytest -s -v -k "fireworks or ollama or together" inference/test_vision_inference.py
pytest -s -v -k "(fireworks or ollama or together) and llama_3b" inference/test_text_inference.py
pytest -s -v -k chroma memory/test_memory.py \
  --env EMBEDDING_DIMENSION=384 --env CHROMA_DB_PATH=/tmp/foobar

pytest -s -v -k fireworks agents/test_agents.py  \
   --safety-shield=meta-llama/Llama-Guard-3-8B \
   --inference-model=meta-llama/Llama-3.1-8B-Instruct
```

Updated the client sdk (see PR ...), installed the SDK in the same
environment and then ran the SDK tests:

```bash
cd tests/client-sdk
LLAMA_STACK_CONFIG=together pytest -s -v agents/test_agents.py
LLAMA_STACK_CONFIG=ollama pytest -s -v memory/test_memory.py

# this one needed a bit of hacking in the run.yaml to ensure I could register the vision model correctly
INFERENCE_MODEL=llama3.2-vision:latest LLAMA_STACK_CONFIG=ollama pytest -s -v inference/test_inference.py
```
2024-12-17 11:18:31 -08:00
..
agents Update the "InterleavedTextMedia" type (#635) 2024-12-17 11:18:31 -08:00
datasetio [1/n] torchtune <> llama-stack integration skeleton (#540) 2024-12-13 11:05:35 -08:00
eval refactor scoring/eval pytests (#607) 2024-12-11 10:47:37 -08:00
inference Update the "InterleavedTextMedia" type (#635) 2024-12-17 11:18:31 -08:00
memory Update the "InterleavedTextMedia" type (#635) 2024-12-17 11:18:31 -08:00
post_training Update the "InterleavedTextMedia" type (#635) 2024-12-17 11:18:31 -08:00
safety Update the "InterleavedTextMedia" type (#635) 2024-12-17 11:18:31 -08:00
scoring refactor scoring/eval pytests (#607) 2024-12-11 10:47:37 -08:00
__init__.py Remove "routing_table" and "routing_key" concepts for the user (#201) 2024-10-10 10:24:13 -07:00
conftest.py [1/n] torchtune <> llama-stack integration skeleton (#540) 2024-12-13 11:05:35 -08:00
env.py Significantly simpler and malleable test setup (#360) 2024-11-04 17:36:43 -08:00
README.md update tests --inference-model to hf id 2024-11-18 17:36:58 -08:00
resolver.py Auto-generate distro yamls + docs (#468) 2024-11-18 14:57:06 -08:00

Testing Llama Stack Providers

The Llama Stack is designed as a collection of Lego blocks -- various APIs -- which are composable and can be used to quickly and reliably build an app. We need a testing setup which is relatively flexible to enable easy combinations of these providers.

We use pytest and all of its dynamism to enable the features needed. Specifically:

  • We use pytest_addoption to add CLI options allowing you to override providers, models, etc.

  • We use pytest_generate_tests to dynamically parametrize our tests. This allows us to support a default set of (providers, models, etc.) combinations but retain the flexibility to override them via the CLI if needed.

  • We use pytest_configure to make sure we dynamically add appropriate marks based on the fixtures we make.

Common options

All tests support a --providers option which can be a string of the form api1=provider_fixture1,api2=provider_fixture2. So, when testing safety (which need inference and safety APIs) you can use --providers inference=together,safety=meta_reference to use these fixtures in concert.

Depending on the API, there are custom options enabled. For example, inference tests allow for an --inference-model override, etc.

By default, we disable warnings and enable short tracebacks. You can override them using pytest's flags as appropriate.

Some providers need special API keys or other configuration options to work. You can check out the individual fixtures (located in tests/<api>/fixtures.py) for what these keys are. These can be specified using the --env CLI option. You can also have it be present in the environment (exporting in your shell) or put it in the .env file in the directory from which you run the test. For example, to use the Together fixture you can use --env TOGETHER_API_KEY=<...>

Inference

We have the following orthogonal parametrizations (pytest "marks") for inference tests:

  • providers: (meta_reference, together, fireworks, ollama)
  • models: (llama_8b, llama_3b)

If you want to run a test with the llama_8b model with fireworks, you can use:

pytest -s -v llama_stack/providers/tests/inference/test_text_inference.py \
  -m "fireworks and llama_8b" \
  --env FIREWORKS_API_KEY=<...>

You can make it more complex to run both llama_8b and llama_3b on Fireworks, but only llama_3b with Ollama:

pytest -s -v llama_stack/providers/tests/inference/test_text_inference.py \
  -m "fireworks or (ollama and llama_3b)" \
  --env FIREWORKS_API_KEY=<...>

Finally, you can override the model completely by doing:

pytest -s -v llama_stack/providers/tests/inference/test_text_inference.py \
  -m fireworks \
  --inference-model "meta-llama/Llama3.1-70B-Instruct" \
  --env FIREWORKS_API_KEY=<...>

Agents

The Agents API composes three other APIs underneath:

  • Inference
  • Safety
  • Memory

Given that each of these has several fixtures each, the set of combinations is large. We provide a default set of combinations (see tests/agents/conftest.py) with easy to use "marks":

  • meta_reference -- uses all the meta_reference fixtures for the dependent APIs
  • together -- uses Together for inference, and meta_reference for the rest
  • ollama -- uses Ollama for inference, and meta_reference for the rest

An example test with Together:

pytest -s -m together llama_stack/providers/tests/agents/test_agents.py  \
 --env TOGETHER_API_KEY=<...>

If you want to override the inference model or safety model used, you can use the --inference-model or --safety-shield CLI options as appropriate.

If you wanted to test a remotely hosted stack, you can use -m remote as follows:

pytest -s -m remote llama_stack/providers/tests/agents/test_agents.py \
  --env REMOTE_STACK_URL=<...>