llama-stack-mirror/llama_stack/distribution/routers/routing_tables.py
Xi Yan 3c72c034e6
[remove import *] clean up import *'s (#689)
# What does this PR do?

- as title, cleaning up `import *`'s
- upgrade tests to make them more robust to bad model outputs
- remove import *'s in llama_stack/apis/* (skip __init__ modules)
<img width="465" alt="image"
src="https://github.com/user-attachments/assets/d8339c13-3b40-4ba5-9c53-0d2329726ee2"
/>

- run `sh run_openapi_generator.sh`, no types gets affected

## Test Plan

### Providers Tests

**agents**
```
pytest -v -s llama_stack/providers/tests/agents/test_agents.py -m "together" --safety-shield meta-llama/Llama-Guard-3-8B --inference-model meta-llama/Llama-3.1-405B-Instruct-FP8
```

**inference**
```bash
# meta-reference
torchrun $CONDA_PREFIX/bin/pytest -v -s -k "meta_reference" --inference-model="meta-llama/Llama-3.1-8B-Instruct" ./llama_stack/providers/tests/inference/test_text_inference.py
torchrun $CONDA_PREFIX/bin/pytest -v -s -k "meta_reference" --inference-model="meta-llama/Llama-3.2-11B-Vision-Instruct" ./llama_stack/providers/tests/inference/test_vision_inference.py

# together
pytest -v -s -k "together" --inference-model="meta-llama/Llama-3.1-8B-Instruct" ./llama_stack/providers/tests/inference/test_text_inference.py
pytest -v -s -k "together" --inference-model="meta-llama/Llama-3.2-11B-Vision-Instruct" ./llama_stack/providers/tests/inference/test_vision_inference.py

pytest ./llama_stack/providers/tests/inference/test_prompt_adapter.py 
```

**safety**
```
pytest -v -s llama_stack/providers/tests/safety/test_safety.py -m together --safety-shield meta-llama/Llama-Guard-3-8B
```

**memory**
```
pytest -v -s llama_stack/providers/tests/memory/test_memory.py -m "sentence_transformers" --env EMBEDDING_DIMENSION=384
```

**scoring**
```
pytest -v -s -m llm_as_judge_scoring_together_inference llama_stack/providers/tests/scoring/test_scoring.py --judge-model meta-llama/Llama-3.2-3B-Instruct
pytest -v -s -m basic_scoring_together_inference llama_stack/providers/tests/scoring/test_scoring.py
pytest -v -s -m braintrust_scoring_together_inference llama_stack/providers/tests/scoring/test_scoring.py
```


**datasetio**
```
pytest -v -s -m localfs llama_stack/providers/tests/datasetio/test_datasetio.py
pytest -v -s -m huggingface llama_stack/providers/tests/datasetio/test_datasetio.py
```


**eval**
```
pytest -v -s -m meta_reference_eval_together_inference llama_stack/providers/tests/eval/test_eval.py
pytest -v -s -m meta_reference_eval_together_inference_huggingface_datasetio llama_stack/providers/tests/eval/test_eval.py
```

### Client-SDK Tests
```
LLAMA_STACK_BASE_URL=http://localhost:5000 pytest -v ./tests/client-sdk
```

### llama-stack-apps
```
PORT=5000
LOCALHOST=localhost

python -m examples.agents.hello $LOCALHOST $PORT
python -m examples.agents.inflation $LOCALHOST $PORT
python -m examples.agents.podcast_transcript $LOCALHOST $PORT
python -m examples.agents.rag_as_attachments $LOCALHOST $PORT
python -m examples.agents.rag_with_memory_bank $LOCALHOST $PORT
python -m examples.safety.llama_guard_demo_mm $LOCALHOST $PORT
python -m examples.agents.e2e_loop_with_custom_tools $LOCALHOST $PORT

# Vision model
python -m examples.interior_design_assistant.app
python -m examples.agent_store.app $LOCALHOST $PORT
```

### CLI
```
which llama
llama model prompt-format -m Llama3.2-11B-Vision-Instruct
llama model list
llama stack list-apis
llama stack list-providers inference

llama stack build --template ollama --image-type conda
```

### Distributions Tests
**ollama**
```
llama stack build --template ollama --image-type conda
ollama run llama3.2:1b-instruct-fp16
llama stack run ./llama_stack/templates/ollama/run.yaml --env INFERENCE_MODEL=meta-llama/Llama-3.2-1B-Instruct
```

**fireworks**
```
llama stack build --template fireworks --image-type conda
llama stack run ./llama_stack/templates/fireworks/run.yaml
```

**together**
```
llama stack build --template together --image-type conda
llama stack run ./llama_stack/templates/together/run.yaml
```

**tgi**
```
llama stack run ./llama_stack/templates/tgi/run.yaml --env TGI_URL=http://0.0.0.0:5009 --env INFERENCE_MODEL=meta-llama/Llama-3.1-8B-Instruct
```

## Sources

Please link relevant resources if necessary.


## Before submitting

- [ ] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
- [ ] Ran pre-commit to handle lint / formatting issues.
- [ ] Read the [contributor
guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md),
      Pull Request section?
- [ ] Updated relevant documentation.
- [ ] Wrote necessary unit or integration tests.
2024-12-27 15:45:44 -08:00

577 lines
22 KiB
Python

# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
from typing import Any, Dict, List, Optional
from pydantic import parse_obj_as
from llama_stack.apis.common.content_types import URL
from llama_stack.apis.common.type_system import ParamType
from llama_stack.apis.datasets import Dataset, Datasets
from llama_stack.apis.eval_tasks import EvalTask, EvalTasks
from llama_stack.apis.memory_banks import (
BankParams,
MemoryBank,
MemoryBanks,
MemoryBankType,
)
from llama_stack.apis.models import Model, Models, ModelType
from llama_stack.apis.resource import ResourceType
from llama_stack.apis.scoring_functions import (
ScoringFn,
ScoringFnParams,
ScoringFunctions,
)
from llama_stack.apis.shields import Shield, Shields
from llama_stack.apis.tools import (
MCPToolGroupDef,
Tool,
ToolGroup,
ToolGroupDef,
ToolGroups,
UserDefinedToolGroupDef,
)
from llama_stack.distribution.datatypes import (
RoutableObject,
RoutableObjectWithProvider,
RoutedProtocol,
)
from llama_stack.distribution.store import DistributionRegistry
from llama_stack.providers.datatypes import Api, RoutingTable
def get_impl_api(p: Any) -> Api:
return p.__provider_spec__.api
# TODO: this should return the registered object for all APIs
async def register_object_with_provider(obj: RoutableObject, p: Any) -> RoutableObject:
api = get_impl_api(p)
assert obj.provider_id != "remote", "Remote provider should not be registered"
if api == Api.inference:
return await p.register_model(obj)
elif api == Api.safety:
return await p.register_shield(obj)
elif api == Api.memory:
return await p.register_memory_bank(obj)
elif api == Api.datasetio:
return await p.register_dataset(obj)
elif api == Api.scoring:
return await p.register_scoring_function(obj)
elif api == Api.eval:
return await p.register_eval_task(obj)
elif api == Api.tool_runtime:
return await p.register_tool(obj)
else:
raise ValueError(f"Unknown API {api} for registering object with provider")
async def unregister_object_from_provider(obj: RoutableObject, p: Any) -> None:
api = get_impl_api(p)
if api == Api.memory:
return await p.unregister_memory_bank(obj.identifier)
elif api == Api.inference:
return await p.unregister_model(obj.identifier)
elif api == Api.datasetio:
return await p.unregister_dataset(obj.identifier)
elif api == Api.tool_runtime:
return await p.unregister_tool(obj.identifier)
else:
raise ValueError(f"Unregister not supported for {api}")
Registry = Dict[str, List[RoutableObjectWithProvider]]
class CommonRoutingTableImpl(RoutingTable):
def __init__(
self,
impls_by_provider_id: Dict[str, RoutedProtocol],
dist_registry: DistributionRegistry,
) -> None:
self.impls_by_provider_id = impls_by_provider_id
self.dist_registry = dist_registry
async def initialize(self) -> None:
async def add_objects(
objs: List[RoutableObjectWithProvider], provider_id: str, cls
) -> None:
for obj in objs:
if cls is None:
obj.provider_id = provider_id
else:
# Create a copy of the model data and explicitly set provider_id
model_data = obj.model_dump()
model_data["provider_id"] = provider_id
obj = cls(**model_data)
await self.dist_registry.register(obj)
# Register all objects from providers
for pid, p in self.impls_by_provider_id.items():
api = get_impl_api(p)
if api == Api.inference:
p.model_store = self
elif api == Api.safety:
p.shield_store = self
elif api == Api.memory:
p.memory_bank_store = self
elif api == Api.datasetio:
p.dataset_store = self
elif api == Api.scoring:
p.scoring_function_store = self
scoring_functions = await p.list_scoring_functions()
await add_objects(scoring_functions, pid, ScoringFn)
elif api == Api.eval:
p.eval_task_store = self
elif api == Api.tool_runtime:
p.tool_store = self
async def shutdown(self) -> None:
for p in self.impls_by_provider_id.values():
await p.shutdown()
def get_provider_impl(
self, routing_key: str, provider_id: Optional[str] = None
) -> Any:
def apiname_object():
if isinstance(self, ModelsRoutingTable):
return ("Inference", "model")
elif isinstance(self, ShieldsRoutingTable):
return ("Safety", "shield")
elif isinstance(self, MemoryBanksRoutingTable):
return ("Memory", "memory_bank")
elif isinstance(self, DatasetsRoutingTable):
return ("DatasetIO", "dataset")
elif isinstance(self, ScoringFunctionsRoutingTable):
return ("Scoring", "scoring_function")
elif isinstance(self, EvalTasksRoutingTable):
return ("Eval", "eval_task")
elif isinstance(self, ToolGroupsRoutingTable):
return ("Tools", "tool")
else:
raise ValueError("Unknown routing table type")
apiname, objtype = apiname_object()
# Get objects from disk registry
obj = self.dist_registry.get_cached(objtype, routing_key)
if not obj:
provider_ids = list(self.impls_by_provider_id.keys())
if len(provider_ids) > 1:
provider_ids_str = f"any of the providers: {', '.join(provider_ids)}"
else:
provider_ids_str = f"provider: `{provider_ids[0]}`"
raise ValueError(
f"{objtype.capitalize()} `{routing_key}` not served by {provider_ids_str}. Make sure there is an {apiname} provider serving this {objtype}."
)
if not provider_id or provider_id == obj.provider_id:
return self.impls_by_provider_id[obj.provider_id]
raise ValueError(f"Provider not found for `{routing_key}`")
async def get_object_by_identifier(
self, type: str, identifier: str
) -> Optional[RoutableObjectWithProvider]:
# Get from disk registry
obj = await self.dist_registry.get(type, identifier)
if not obj:
return None
return obj
async def unregister_object(self, obj: RoutableObjectWithProvider) -> None:
await self.dist_registry.delete(obj.type, obj.identifier)
await unregister_object_from_provider(
obj, self.impls_by_provider_id[obj.provider_id]
)
async def register_object(
self, obj: RoutableObjectWithProvider
) -> RoutableObjectWithProvider:
# Get existing objects from registry
existing_obj = await self.dist_registry.get(obj.type, obj.identifier)
# if provider_id is not specified, pick an arbitrary one from existing entries
if not obj.provider_id and len(self.impls_by_provider_id) > 0:
obj.provider_id = list(self.impls_by_provider_id.keys())[0]
if obj.provider_id not in self.impls_by_provider_id:
raise ValueError(f"Provider `{obj.provider_id}` not found")
p = self.impls_by_provider_id[obj.provider_id]
registered_obj = await register_object_with_provider(obj, p)
# TODO: This needs to be fixed for all APIs once they return the registered object
if obj.type == ResourceType.model.value:
await self.dist_registry.register(registered_obj)
return registered_obj
else:
await self.dist_registry.register(obj)
return obj
async def get_all_with_type(self, type: str) -> List[RoutableObjectWithProvider]:
objs = await self.dist_registry.get_all()
return [obj for obj in objs if obj.type == type]
class ModelsRoutingTable(CommonRoutingTableImpl, Models):
async def list_models(self) -> List[Model]:
return await self.get_all_with_type("model")
async def get_model(self, identifier: str) -> Optional[Model]:
return await self.get_object_by_identifier("model", identifier)
async def register_model(
self,
model_id: str,
provider_model_id: Optional[str] = None,
provider_id: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
model_type: Optional[ModelType] = None,
) -> Model:
if provider_model_id is None:
provider_model_id = model_id
if provider_id is None:
# If provider_id not specified, use the only provider if it supports this model
if len(self.impls_by_provider_id) == 1:
provider_id = list(self.impls_by_provider_id.keys())[0]
else:
raise ValueError(
"No provider specified and multiple providers available. Please specify a provider_id. Available providers: {self.impls_by_provider_id.keys()}"
)
if metadata is None:
metadata = {}
if model_type is None:
model_type = ModelType.llm
if "embedding_dimension" not in metadata and model_type == ModelType.embedding:
raise ValueError(
"Embedding model must have an embedding dimension in its metadata"
)
model = Model(
identifier=model_id,
provider_resource_id=provider_model_id,
provider_id=provider_id,
metadata=metadata,
model_type=model_type,
)
registered_model = await self.register_object(model)
return registered_model
async def unregister_model(self, model_id: str) -> None:
existing_model = await self.get_model(model_id)
if existing_model is None:
raise ValueError(f"Model {model_id} not found")
await self.unregister_object(existing_model)
class ShieldsRoutingTable(CommonRoutingTableImpl, Shields):
async def list_shields(self) -> List[Shield]:
return await self.get_all_with_type(ResourceType.shield.value)
async def get_shield(self, identifier: str) -> Optional[Shield]:
return await self.get_object_by_identifier("shield", identifier)
async def register_shield(
self,
shield_id: str,
provider_shield_id: Optional[str] = None,
provider_id: Optional[str] = None,
params: Optional[Dict[str, Any]] = None,
) -> Shield:
if provider_shield_id is None:
provider_shield_id = shield_id
if provider_id is None:
# If provider_id not specified, use the only provider if it supports this shield type
if len(self.impls_by_provider_id) == 1:
provider_id = list(self.impls_by_provider_id.keys())[0]
else:
raise ValueError(
"No provider specified and multiple providers available. Please specify a provider_id."
)
if params is None:
params = {}
shield = Shield(
identifier=shield_id,
provider_resource_id=provider_shield_id,
provider_id=provider_id,
params=params,
)
await self.register_object(shield)
return shield
class MemoryBanksRoutingTable(CommonRoutingTableImpl, MemoryBanks):
async def list_memory_banks(self) -> List[MemoryBank]:
return await self.get_all_with_type(ResourceType.memory_bank.value)
async def get_memory_bank(self, memory_bank_id: str) -> Optional[MemoryBank]:
return await self.get_object_by_identifier("memory_bank", memory_bank_id)
async def register_memory_bank(
self,
memory_bank_id: str,
params: BankParams,
provider_id: Optional[str] = None,
provider_memory_bank_id: Optional[str] = None,
) -> MemoryBank:
if provider_memory_bank_id is None:
provider_memory_bank_id = memory_bank_id
if provider_id is None:
# If provider_id not specified, use the only provider if it supports this shield type
if len(self.impls_by_provider_id) == 1:
provider_id = list(self.impls_by_provider_id.keys())[0]
else:
raise ValueError(
"No provider specified and multiple providers available. Please specify a provider_id."
)
model = await self.get_object_by_identifier("model", params.embedding_model)
if model is None:
if params.embedding_model == "all-MiniLM-L6-v2":
raise ValueError(
"Embeddings are now served via Inference providers. "
"Please upgrade your run.yaml to include inline::sentence-transformer as an additional inference provider. "
"See https://github.com/meta-llama/llama-stack/blob/main/llama_stack/templates/together/run.yaml for an example."
)
else:
raise ValueError(f"Model {params.embedding_model} not found")
if model.model_type != ModelType.embedding:
raise ValueError(
f"Model {params.embedding_model} is not an embedding model"
)
if "embedding_dimension" not in model.metadata:
raise ValueError(
f"Model {params.embedding_model} does not have an embedding dimension"
)
memory_bank_data = {
"identifier": memory_bank_id,
"type": ResourceType.memory_bank.value,
"provider_id": provider_id,
"provider_resource_id": provider_memory_bank_id,
**params.model_dump(),
}
if params.memory_bank_type == MemoryBankType.vector.value:
memory_bank_data["embedding_dimension"] = model.metadata[
"embedding_dimension"
]
memory_bank = parse_obj_as(MemoryBank, memory_bank_data)
await self.register_object(memory_bank)
return memory_bank
async def unregister_memory_bank(self, memory_bank_id: str) -> None:
existing_bank = await self.get_memory_bank(memory_bank_id)
if existing_bank is None:
raise ValueError(f"Memory bank {memory_bank_id} not found")
await self.unregister_object(existing_bank)
class DatasetsRoutingTable(CommonRoutingTableImpl, Datasets):
async def list_datasets(self) -> List[Dataset]:
return await self.get_all_with_type(ResourceType.dataset.value)
async def get_dataset(self, dataset_id: str) -> Optional[Dataset]:
return await self.get_object_by_identifier("dataset", dataset_id)
async def register_dataset(
self,
dataset_id: str,
dataset_schema: Dict[str, ParamType],
url: URL,
provider_dataset_id: Optional[str] = None,
provider_id: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
) -> None:
if provider_dataset_id is None:
provider_dataset_id = dataset_id
if provider_id is None:
# If provider_id not specified, use the only provider if it supports this dataset
if len(self.impls_by_provider_id) == 1:
provider_id = list(self.impls_by_provider_id.keys())[0]
else:
raise ValueError(
"No provider specified and multiple providers available. Please specify a provider_id."
)
if metadata is None:
metadata = {}
dataset = Dataset(
identifier=dataset_id,
provider_resource_id=provider_dataset_id,
provider_id=provider_id,
dataset_schema=dataset_schema,
url=url,
metadata=metadata,
)
await self.register_object(dataset)
async def unregister_dataset(self, dataset_id: str) -> None:
dataset = await self.get_dataset(dataset_id)
if dataset is None:
raise ValueError(f"Dataset {dataset_id} not found")
await self.unregister_object(dataset)
class ScoringFunctionsRoutingTable(CommonRoutingTableImpl, ScoringFunctions):
async def list_scoring_functions(self) -> List[ScoringFn]:
return await self.get_all_with_type(ResourceType.scoring_function.value)
async def get_scoring_function(self, scoring_fn_id: str) -> Optional[ScoringFn]:
return await self.get_object_by_identifier("scoring_function", scoring_fn_id)
async def register_scoring_function(
self,
scoring_fn_id: str,
description: str,
return_type: ParamType,
provider_scoring_fn_id: Optional[str] = None,
provider_id: Optional[str] = None,
params: Optional[ScoringFnParams] = None,
) -> None:
if provider_scoring_fn_id is None:
provider_scoring_fn_id = scoring_fn_id
if provider_id is None:
if len(self.impls_by_provider_id) == 1:
provider_id = list(self.impls_by_provider_id.keys())[0]
else:
raise ValueError(
"No provider specified and multiple providers available. Please specify a provider_id."
)
scoring_fn = ScoringFn(
identifier=scoring_fn_id,
description=description,
return_type=return_type,
provider_resource_id=provider_scoring_fn_id,
provider_id=provider_id,
params=params,
)
scoring_fn.provider_id = provider_id
await self.register_object(scoring_fn)
class EvalTasksRoutingTable(CommonRoutingTableImpl, EvalTasks):
async def list_eval_tasks(self) -> List[EvalTask]:
return await self.get_all_with_type(ResourceType.eval_task.value)
async def get_eval_task(self, name: str) -> Optional[EvalTask]:
return await self.get_object_by_identifier("eval_task", name)
async def register_eval_task(
self,
eval_task_id: str,
dataset_id: str,
scoring_functions: List[str],
metadata: Optional[Dict[str, Any]] = None,
provider_eval_task_id: Optional[str] = None,
provider_id: Optional[str] = None,
) -> None:
if metadata is None:
metadata = {}
if provider_id is None:
if len(self.impls_by_provider_id) == 1:
provider_id = list(self.impls_by_provider_id.keys())[0]
else:
raise ValueError(
"No provider specified and multiple providers available. Please specify a provider_id."
)
if provider_eval_task_id is None:
provider_eval_task_id = eval_task_id
eval_task = EvalTask(
identifier=eval_task_id,
dataset_id=dataset_id,
scoring_functions=scoring_functions,
metadata=metadata,
provider_id=provider_id,
provider_resource_id=provider_eval_task_id,
)
await self.register_object(eval_task)
class ToolGroupsRoutingTable(CommonRoutingTableImpl, ToolGroups):
async def list_tools(self, tool_group_id: Optional[str] = None) -> List[Tool]:
tools = await self.get_all_with_type("tool")
if tool_group_id:
tools = [tool for tool in tools if tool.tool_group == tool_group_id]
return tools
async def list_tool_groups(self) -> List[ToolGroup]:
return await self.get_all_with_type("tool_group")
async def get_tool_group(self, tool_group_id: str) -> ToolGroup:
return await self.get_object_by_identifier("tool_group", tool_group_id)
async def get_tool(self, tool_name: str) -> Tool:
return await self.get_object_by_identifier("tool", tool_name)
async def register_tool_group(
self,
tool_group_id: str,
tool_group: ToolGroupDef,
provider_id: Optional[str] = None,
) -> None:
tools = []
tool_defs = []
if provider_id is None:
if len(self.impls_by_provider_id.keys()) > 1:
raise ValueError(
f"No provider_id specified and multiple providers available. Please specify a provider_id. Available providers: {', '.join(self.impls_by_provider_id.keys())}"
)
provider_id = list(self.impls_by_provider_id.keys())[0]
if isinstance(tool_group, MCPToolGroupDef):
tool_defs = await self.impls_by_provider_id[provider_id].discover_tools(
tool_group
)
elif isinstance(tool_group, UserDefinedToolGroupDef):
tool_defs = tool_group.tools
else:
raise ValueError(f"Unknown tool group: {tool_group}")
for tool_def in tool_defs:
tools.append(
Tool(
identifier=tool_def.name,
tool_group=tool_group_id,
description=tool_def.description,
parameters=tool_def.parameters,
provider_id=provider_id,
tool_prompt_format=tool_def.tool_prompt_format,
provider_resource_id=tool_def.name,
metadata=tool_def.metadata,
)
)
for tool in tools:
existing_tool = await self.get_tool(tool.identifier)
# Compare existing and new object if one exists
if existing_tool:
existing_dict = existing_tool.model_dump()
new_dict = tool.model_dump()
if existing_dict != new_dict:
raise ValueError(
f"Object {tool.identifier} already exists in registry. Please use a different identifier."
)
await self.register_object(tool)
await self.dist_registry.register(
ToolGroup(
identifier=tool_group_id,
provider_id=provider_id,
provider_resource_id=tool_group_id,
)
)
async def unregister_tool_group(self, tool_group_id: str) -> None:
tool_group = await self.get_tool_group(tool_group_id)
if tool_group is None:
raise ValueError(f"Tool group {tool_group_id} not found")
tools = await self.list_tools(tool_group_id)
for tool in tools:
await self.unregister_object(tool)
await self.unregister_object(tool_group)