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Raghotham Murthy 2024-07-11 03:11:45 -07:00
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source/openapi.yaml
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@ -1514,24 +1514,25 @@ info:
\ are specific fine tuning and quantization techniques that we have found \n \
\ result in the best performing Llama models. We would like to share\
\ ways in which an LLM Ops \n toolchain can be designed by leveraging\
\ our learnings in getting Llama models to power Meta’s products.\n\n \
\ In addition, the Llama 3 models Meta will release in July should not\
\ just be seen as a model, but \n really as a system starting the\
\ transition towards an entity capable of performing \"agentic\" tasks \n \
\ which require the ability to act as the central planner and break\
\ a task down and perform multi-step \n reasoning and call tools\
\ for specific operations. In addition, there needs to be general model-level\
\ \n safety checks as well as task-specific safety checks that\
\ are performed at a system level. \n\n We are defining the Llama\
\ Stack as a set of APIs and standards by synthesizing our learnings while \n\
\ working with Llama models. The APIs are divided into the llama-toolchain-api\
\ and the llama-agentic-system-api. \n These APIs provide a coherent\
\ way for model developers to fine tune and serve Llama models, and agentic app\
\ \n developers to leverage all the capabilities of the Llama models\
\ seamlessly. We would like to work with the \n ecosystem to enhance\
\ and simplify the API. In addition, we will be releasing a plug-in architecture\
\ to allow \n creating distributions of the llama stack with different\
\ implementations.\n\n\n This is the specification of the llama\
\ our learnings in getting Llama models to power Meta’s products.\n \
\ <br>\n In addition, the Llama 3 models Meta will release\
\ in July should not just be seen as a model, but \n really as\
\ a system starting the transition towards an entity capable of performing \"\
agentic\" tasks \n which require the ability to act as the central\
\ planner and break a task down and perform multi-step \n reasoning\
\ and call tools for specific operations. In addition, there needs to be general\
\ model-level \n safety checks as well as task-specific safety\
\ checks that are performed at a system level. \n <br>\n \
\ We are defining the Llama Stack as a set of APIs and standards by synthesizing\
\ our learnings while \n working with Llama models. The APIs are\
\ divided into the llama-toolchain-api and the llama-agentic-system-api. \n \
\ These APIs provide a coherent way for model developers to fine\
\ tune and serve Llama models, and agentic app \n developers to\
\ leverage all the capabilities of the Llama models seamlessly. We would like\
\ to work with the \n ecosystem to enhance and simplify the API.\
\ In addition, we will be releasing a plug-in architecture to allow \n \
\ creating distributions of the llama stack with different implementations.\n\
\ <br>\n This is the specification of the llama\
\ stack that provides \n a set of endpoints and their corresponding\
\ interfaces that are tailored to \n best leverage Llama Models.\
\ The specification is still in draft and subject to change."
@ -2052,13 +2053,13 @@ security:
servers:
- url: http://any-hosted-llama-stack.com
tags:
- name: MemoryBanks
- name: Datasets
- name: AgenticSystem
- name: SyntheticDataGeneration
- name: PostTraining
- name: RewardScoring
- name: Inference
- name: MemoryBanks
- name: AgenticSystem
- name: Datasets
- name: RewardScoring
- name: PostTraining
- description: <SchemaDefinition schemaRef="#/components/schemas/ShieldConfig" />
name: ShieldConfig
- description: <SchemaDefinition schemaRef="#/components/schemas/AgenticSystemCreateRequest"