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Reinstate base chart schema to allow smooth Azimuth app transition #58

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merged 1 commit into from
Nov 2, 2024
Merged

Reinstate base chart schema to allow smooth Azimuth app transition #58

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33 changes: 33 additions & 0 deletions charts/azimuth-llm/azimuth-ui.schema.yaml
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controls:
/huggingface/model:
type: TextControl
required: true
/huggingface/token:
type: TextControl
secret: true
# Use mirror to mimic yaml anchor in base Helm chart
/ui/appSettings/model_name:
type: MirrorControl
path: /huggingface/model
visuallyHidden: true
# Azimuth UI doesn't handle json type ["integer","null"]
# properly so we allow any type in JSON schema then
# constrain to (optional) integer here.
/api/modelMaxContextLength:
type: IntegerControl
minimum: 100
required: false

sortOrder:
- /huggingface/model
- /huggingface/token
- /ui/appSettings/model_instruction
- /ui/appSettings/page_title
- /api/image/version
- /ui/appSettings/llm_params/temperature
- /ui/appSettings/llm_params/max_tokens
- /ui/appSettings/llm_params/frequency_penalty
- /ui/appSettings/llm_params/presence_penalty
- /ui/appSettings/llm_params/top_p
- /ui/appSettings/llm_params/top_k
- /api/modelMaxContextLength
128 changes: 128 additions & 0 deletions charts/azimuth-llm/values.schema.json
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{
"type": "object",
"properties": {
"huggingface": {
"type": "object",
"properties": {
"model": {
"type": "string",
"title": "Model",
"description": "The [HuggingFace model](https://huggingface.co/models) to deploy (see [here](https://github.com/stackhpc/azimuth-llm?tab=readme-ov-file#tested-models) for a list of tested models).",
"default": "microsoft/Phi-3.5-mini-instruct"
},
"token": {
"type": [
"string",
"null"
],
"title": "Access Token",
"description": "A HuggingFace [access token](https://huggingface.co/docs/hub/security-tokens). Required for [gated models](https://huggingface.co/docs/hub/en/models-gated) (e.g. Llama 3)."
}
},
"required": [
"model"
]
},
"api": {
"type": "object",
"properties": {
"modelMaxContextLength": {
"title": "Model Context Length",
"description": "An override for the maximum context length to allow, if the model's default is not suitable."
},
"image": {
"type": "object",
"properties": {
"version": {
"type": "string",
"title": "Backend vLLM version",
"description": "The vLLM version to use as a backend. Must be a version tag from [this list](https://github.com/vllm-project/vllm/tags)",
"default": "v0.6.3"
}
}
}
}
},
"ui": {
"type": "object",
"properties": {
"appSettings": {
"type": "object",
"properties": {
"model_name": {
"type": "string",
"title": "Model Name",
"description": "Model name supplied to the OpenAI client in frontend web app. Should match huggingface.model above."
},
"model_instruction": {
"type": "string",
"title": "Instruction",
"description": "The initial system prompt (i.e. the hidden instruction) to use when generating responses.",
"default": "You are a helpful AI assistant. Please respond appropriately."
},
"page_title": {
"type": "string",
"title": "Page Title",
"description": "The title to display at the top of the chat interface.",
"default": "Large Language Model"
},
"llm_params": {
"type": "object",
"properties": {
"max_tokens": {
"type": "integer",
"title": "Max Tokens",
"description": "The maximum number of new [tokens](https://platform.openai.com/docs/api-reference/chat/create#chat-create-max_tokens) to generate for each LLM responses.",
"default": 1000
},
"temperature": {
"type": "number",
"title": "LLM Temperature",
"description": "The [temperature](https://platform.openai.com/docs/api-reference/chat/create#chat-create-temperature) value to use when generating LLM responses.",
"default": 0,
"minimum": 0,
"maximum": 2
},
"top_p": {
"type": "number",
"title": "LLM Top P",
"description": "The [top p](https://platform.openai.com/docs/api-reference/chat/create#chat-create-top_p) value to use when generating LLM responses.",
"default": 1,
"exclusiveMinimum": 0,
"maximum": 1
},
"top_k": {
"type": "integer",
"title": "LLM Top K",
"description": "The [top k](https://docs.vllm.ai/en/stable/dev/sampling_params.html) value to use when generating LLM responses (must be an integer).",
"default": -1,
"minimum": -1
},
"presence_penalty": {
"type": "number",
"title": "LLM Presence Penalty",
"description": "The [presence penalty](https://platform.openai.com/docs/api-reference/chat/create#chat-create-presence_penalty) to use when generating LLM responses.",
"default": 0,
"minimum": -2,
"maximum": 2
},
"frequency_penalty": {
"type": "number",
"title": "LLM Frequency Penalty",
"description": "The [frequency_penalty](https://platform.openai.com/docs/api-reference/chat/create#chat-create-frequency_penalty) to use when generating LLM responses.",
"default": 0,
"minimum": -2,
"maximum": 2
}
}
}
},
"required": [
"model_name",
"model_instruction"
]
}
}
}
}
}