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example config
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commit
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2 changed files with 106 additions and 5 deletions
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@ -35,9 +35,6 @@ from fastapi import Body, FastAPI, HTTPException, Request, Response
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from fastapi.exceptions import RequestValidationError
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from fastapi.exceptions import RequestValidationError
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from fastapi.responses import JSONResponse, StreamingResponse
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from fastapi.responses import JSONResponse, StreamingResponse
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from fastapi.routing import APIRoute
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from fastapi.routing import APIRoute
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from pydantic import BaseModel, ValidationError
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from termcolor import cprint
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from typing_extensions import Annotated
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from llama_stack.providers.utils.telemetry.tracing import (
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from llama_stack.providers.utils.telemetry.tracing import (
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end_trace,
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end_trace,
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@ -45,6 +42,9 @@ from llama_stack.providers.utils.telemetry.tracing import (
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SpanStatus,
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SpanStatus,
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start_trace,
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start_trace,
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)
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)
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from pydantic import BaseModel, ValidationError
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from termcolor import cprint
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from typing_extensions import Annotated
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from llama_stack.distribution.datatypes import * # noqa: F403
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from llama_stack.distribution.datatypes import * # noqa: F403
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from llama_stack.distribution.distribution import api_endpoints, api_providers
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from llama_stack.distribution.distribution import api_endpoints, api_providers
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@ -287,14 +287,21 @@ def snake_to_camel(snake_str):
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return "".join(word.capitalize() for word in snake_str.split("_"))
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return "".join(word.capitalize() for word in snake_str.split("_"))
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async def resolve_impls_with_routing(
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stack_run_config: StackRunConfig,
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) -> Dict[Api, Any]:
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raise NotImplementedError("This is not implemented yet")
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async def resolve_impls(
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async def resolve_impls(
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provider_map: Dict[str, ProviderMapEntry],
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stack_run_config: StackRunConfig,
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) -> Dict[Api, Any]:
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) -> Dict[Api, Any]:
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"""
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"""
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Does two things:
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Does two things:
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- flatmaps, sorts and resolves the providers in dependency order
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- flatmaps, sorts and resolves the providers in dependency order
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- for each API, produces either a (local, passthrough or router) implementation
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- for each API, produces either a (local, passthrough or router) implementation
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"""
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"""
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provider_map = stack_run_config.provider_map
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all_providers = api_providers()
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all_providers = api_providers()
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specs = {}
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specs = {}
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@ -344,7 +351,7 @@ def main(yaml_config: str, port: int = 5000, disable_ipv6: bool = False):
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app = FastAPI()
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app = FastAPI()
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impls, specs = asyncio.run(resolve_impls(config.provider_map))
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impls, specs = asyncio.run(resolve_impls(config))
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if Api.telemetry in impls:
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if Api.telemetry in impls:
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setup_logger(impls[Api.telemetry])
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setup_logger(impls[Api.telemetry])
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94
llama_stack/examples/router-table-run.yaml
Normal file
94
llama_stack/examples/router-table-run.yaml
Normal file
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@ -0,0 +1,94 @@
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built_at: '2024-09-18T13:41:17.656743'
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image_name: local
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docker_image: null
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conda_env: local
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apis_to_serve:
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- inference
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- memory
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provider_map:
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# use builtin-router as dummy field
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memory: builtin-router
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inference: builtin-router
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routing_table:
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inference:
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- routing_key: Meta-Llama3.1-8B-Instruct
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provider_id: meta-reference
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config:
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model: Meta-Llama3.1-8B-Instruct
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quantization: null
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torch_seed: null
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max_seq_len: 4096
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max_batch_size: 1
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- routing_key: Meta-Llama3.1-8B
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provider_id: remote::ollama
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config:
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url: http:ollama-url-1.com
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memory:
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- routing_key: keyvalue
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provider_id: remote::pgvector
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config:
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host: localhost
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port: 5432
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db: vectordb
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user: vectoruser
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- routing_key: vector
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provider_id: meta-reference
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config: {}
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# safety:
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# provider_id: meta-reference
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# config:
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# llama_guard_shield:
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# model: Llama-Guard-3-8B
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# excluded_categories: []
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# disable_input_check: false
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# disable_output_check: false
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# prompt_guard_shield:
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# model: Prompt-Guard-86M
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# telemetry:
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# provider_id: meta-reference
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# config: {}
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# agents:
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# provider_id: meta-reference
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# config: {}
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# memory:
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# provider_id: meta-reference
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# config: {}
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# models:
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# provider_id: builtin
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# config:
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# models_config:
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# - core_model_id: Meta-Llama3.1-8B-Instruct
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# provider_id: meta-reference
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# api: inference
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# config:
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# model: Meta-Llama3.1-8B-Instruct
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# quantization: null
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# torch_seed: null
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# max_seq_len: 4096
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# max_batch_size: 1
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# - core_model_id: Meta-Llama3.1-8B
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# provider_id: meta-reference
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# api: inference
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# config:
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# model: Meta-Llama3.1-8B
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# quantization: null
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# torch_seed: null
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# max_seq_len: 4096
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# max_batch_size: 1
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# - core_model_id: Llama-Guard-3-8B
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# provider_id: meta-reference
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# api: safety
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# config:
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# model: Llama-Guard-3-8B
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# excluded_categories: []
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# disable_input_check: false
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# disable_output_check: false
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# - core_model_id: Prompt-Guard-86M
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# provider_id: meta-reference
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# api: safety
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# config:
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# model: Prompt-Guard-86M
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