packages/blueprints/gen-ai-chatbot/static-assets/chatbot-genai-components/backend/python/app/config.py (93 lines of code) (raw):
from typing import TypedDict
class GenerationParams(TypedDict):
max_tokens: int
top_k: int
top_p: float
temperature: float
stop_sequences: list[str]
class EmbeddingConfig(TypedDict):
model_id: str
chunk_size: int
chunk_overlap: int
enable_partition_pdf: bool
# Configure generation parameter for Claude chat response.
# Adjust the values according to your application.
# See: https://docs.anthropic.com/claude/reference/complete_post
DEFAULT_GENERATION_CONFIG: GenerationParams = {
"max_tokens": 2000,
"top_k": 250,
"top_p": 0.999,
"temperature": 0.6,
"stop_sequences": ["Human: ", "Assistant: "],
}
# Ref: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-mistral.html#model-parameters-mistral-request-response
DEFAULT_MISTRAL_GENERATION_CONFIG: GenerationParams = {
"max_tokens": 4096,
"top_k": 50,
"top_p": 0.9,
"temperature": 0.5,
"stop_sequences": ["[INST]", "[/INST]"],
}
# Configure embedding parameter.
DEFAULT_EMBEDDING_CONFIG: EmbeddingConfig = {
# DO NOT change `model_id` (currently other models are not supported)
"model_id": "cohere.embed-multilingual-v3",
# NOTE: consider that cohere allows up to 2048 tokens per request
"chunk_size": 1000,
"chunk_overlap": 200,
"enable_partition_pdf": False,
}
# Configure search parameter to fetch relevant documents from vector store.
DEFAULT_SEARCH_CONFIG = {
"max_results": 20,
}
# Used for price estimation.
# NOTE: The following is based on 2024-03-07
# See: https://aws.amazon.com/bedrock/pricing/
BEDROCK_PRICING = {
"us-east-1": {
"claude-instant-v1": {
"input": 0.00080,
"output": 0.00240,
},
"claude-v2": {
"input": 0.00080,
"output": 0.00240,
},
"claude-v3-haiku": {"input": 0.00025, "output": 0.00125},
"claude-v3-sonnet": {"input": 0.00300, "output": 0.01500},
"mistral-7b-instruct": {"input": 0.00015, "output": 0.0002},
"mixtral-8x7b-instruct": {"input": 0.00045, "output": 0.0007},
"mistral-large": {"input": 0.008, "output": 0.024},
},
"us-west-2": {
"claude-instant-v1": {
"input": 0.00080,
"output": 0.00240,
},
"claude-v2": {
"input": 0.00080,
"output": 0.00240,
},
"claude-v3-sonnet": {"input": 0.00300, "output": 0.01500},
"claude-v3-opus": {"input": 0.01500, "output": 0.07500},
"mistral-7b-instruct": {"input": 0.00015, "output": 0.0002},
"mixtral-8x7b-instruct": {"input": 0.00045, "output": 0.0007},
"mistral-large": {"input": 0.008, "output": 0.024},
},
"ap-northeast-1": {
"claude-instant-v1": {
"input": 0.00080,
"output": 0.00240,
},
"claude-v2": {
"input": 0.00080,
"output": 0.00240,
},
},
"default": {
"claude-instant-v1": {
"input": 0.00080,
"output": 0.00240,
},
"claude-v2": {
"input": 0.00080,
"output": 0.00240,
},
"claude-v3-haiku": {"input": 0.00025, "output": 0.00125},
"claude-v3-sonnet": {"input": 0.00300, "output": 0.01500},
"claude-v3-opus": {"input": 0.01500, "output": 0.07500},
"mistral-7b-instruct": {"input": 0.00015, "output": 0.0002},
"mixtral-8x7b-instruct": {"input": 0.00045, "output": 0.0007},
"mistral-large": {"input": 0.008, "output": 0.024},
},
}