Dagster integration with Not Diamond
Project description
Dagster resource for Not Diamond ¬◇
Not Diamond is an AI model router that automatically determines which LLM is best-suited to respond to any query, improving LLM output quality by combining multiple LLMs into a meta-model that learns when to call each LLM.
Installation
pip install dagster-contrib-notdiamond
Configuration
Make sure you have followed the steps in the Quickstart docs, and added a Not Diamond API key to your environment.
Usage
Define a resource for Not Diamond, then create the asset or ops:
from dagster import (
AssetExecutionContext,
Definitions,
EnvVar,
GraphDefinition,
OpExecutionContext,
asset,
define_asset_job,
op,
)
from dagster_contrib_notdiamond import NotDiamondResource
@op
def notdiamond_op(context: OpExecutionContext, notdiamond: NotDiamondResource):
with notdiamond.get_client(context) as client:
session_id, best_llm = client.model_select(
models=["openai/gpt-4o", "openai/gpt-4o-mini"],
messages=[{"role": "user", "content": "Say this is a test"}]
)
return session_id, str(best_llm)
notdiamond_op_job = GraphDefinition(name="notdiamond_op_job", node_defs=[notdiamond_op]).to_job()
# Or if creating an asset:
@asset(compute_kind="NotDiamond")
def notdiamond_asset(context: AssetExecutionContext, notdiamond: NotDiamondResource) -> Tuple[str, str]:
with notdiamond.get_client(context) as client:
session_id, best_llm = client.model_select(
model=["openai/gpt-4o", "openai/gpt-4o-mini"],
messages=[{"role": "user", "content": "Say this is a test"}]
)
return session_id, str(best_llm)
notdiamond_asset_job = define_asset_job(name="notdiamond_asset_job", selection="notdiamond_asset")
defs = Definitions(
assets=[notdiamond_asset],
jobs=[notdiamond_asset_job, notdiamond_op_job],
resources={
"notdiamond": NotDiamondResource(api_key=EnvVar("NOTDIAMOND_API_KEY")),
},
)
Please refer to example_job/example_notdiamond.py
for an example script.
Support
Visit the documentation for Not Diamond or send a message to support@notdiamond.ai
Project details
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