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Kill "remote" providers and fix testing with a remote stack properly (#435)

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# What does this PR do?

This PR kills the notion of "pure passthrough" remote providers. You
cannot specify a single provider you must specify a whole distribution
(stack) as remote.

This PR also significantly fixes / upgrades testing infrastructure so
you can now test against a remotely hosted stack server by just doing

```bash
pytest -s -v -m remote  test_agents.py \
  --inference-model=Llama3.1-8B-Instruct --safety-shield=Llama-Guard-3-1B \
  --env REMOTE_STACK_URL=http://localhost:5001
```

Also fixed `test_agents_persistence.py` (which was broken) and killed
some deprecated testing functions.

## Test Plan

All the tests.
This commit is contained in:
Ashwin Bharambe 2024-11-12 21:51:29 -08:00 • committed by GitHub
parent 59a65e34d3
commit 12947ac19e
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28 changed files with 406 additions and 519 deletions
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52
llama_stack/distribution/stack.py
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@ -30,7 +30,7 @@ from llama_stack.apis.eval_tasks import * # noqa: F403
from llama_stack.distribution.datatypes import StackRunConfig
from llama_stack.distribution.distribution import get_provider_registry
from llama_stack.distribution.resolver import resolve_impls
from llama_stack.distribution.resolver import ProviderRegistry, resolve_impls
from llama_stack.distribution.store.registry import create_dist_registry
from llama_stack.providers.datatypes import Api
@ -58,29 +58,23 @@ class LlamaStack(
pass
# Produces a stack of providers for the given run config. Not all APIs may be
# asked for in the run config.
async def construct_stack(run_config: StackRunConfig) -> Dict[Api, Any]:
dist_registry, _ = await create_dist_registry(
run_config.metadata_store, run_config.image_name
)
RESOURCES = [
("models", Api.models, "register_model", "list_models"),
("shields", Api.shields, "register_shield", "list_shields"),
("memory_banks", Api.memory_banks, "register_memory_bank", "list_memory_banks"),
("datasets", Api.datasets, "register_dataset", "list_datasets"),
(
"scoring_fns",
Api.scoring_functions,
"register_scoring_function",
"list_scoring_functions",
),
("eval_tasks", Api.eval_tasks, "register_eval_task", "list_eval_tasks"),
]
impls = await resolve_impls(run_config, get_provider_registry(), dist_registry)
resources = [
("models", Api.models, "register_model", "list_models"),
("shields", Api.shields, "register_shield", "list_shields"),
("memory_banks", Api.memory_banks, "register_memory_bank", "list_memory_banks"),
("datasets", Api.datasets, "register_dataset", "list_datasets"),
(
"scoring_fns",
Api.scoring_functions,
"register_scoring_function",
"list_scoring_functions",
),
("eval_tasks", Api.eval_tasks, "register_eval_task", "list_eval_tasks"),
]
for rsrc, api, register_method, list_method in resources:
async def register_resources(run_config: StackRunConfig, impls: Dict[Api, Any]):
for rsrc, api, register_method, list_method in RESOURCES:
objects = getattr(run_config, rsrc)
if api not in impls:
continue
@ -96,4 +90,18 @@ async def construct_stack(run_config: StackRunConfig) -> Dict[Api, Any]:
)
print("")
# Produces a stack of providers for the given run config. Not all APIs may be
# asked for in the run config.
async def construct_stack(
run_config: StackRunConfig, provider_registry: Optional[ProviderRegistry] = None
) -> Dict[Api, Any]:
dist_registry, _ = await create_dist_registry(
run_config.metadata_store, run_config.image_name
)
impls = await resolve_impls(
run_config, provider_registry or get_provider_registry(), dist_registry
)
await register_resources(run_config, impls)
return impls