Files
OpenPipe-llm/prisma/seed.ts
Kyle Corbitt ded6678e97 Prep for more model providers
Adds a `modelProvider` field to `promptVariants`, currently just set to "openai/ChatCompletion" for all variants for now.

Adds a `modelProviders/` directory where we can define and store pluggable model providers. Currently just OpenAI. Not everything is pluggable yet -- notably the code to actually generate completions hasn't been migrated to this setup yet.

Does a lot of work to get the types working. Prompts are now defined with a function `definePrompt(modelProvider, config)` instead of `prompt = config`. Added a script to migrate old prompt definitions.

This is still partial work, but the diff is large enough that I want to get it in. I don't think anything is broken but I haven't tested thoroughly.
2023-07-20 14:49:22 -07:00

154 lines
3.1 KiB
TypeScript

import { prisma } from "~/server/db";
import dedent from "dedent";
import { generateNewCell } from "~/server/utils/generateNewCell";
const defaultId = "11111111-1111-1111-1111-111111111111";
await prisma.organization.deleteMany({
where: { id: defaultId },
});
await prisma.organization.create({
data: { id: defaultId },
});
await prisma.experiment.deleteMany({
where: {
id: defaultId,
},
});
await prisma.experiment.create({
data: {
id: defaultId,
label: "Country Capitals Example",
organizationId: defaultId,
},
});
await prisma.scenarioVariantCell.deleteMany({
where: {
promptVariant: {
experimentId: defaultId,
},
},
});
await prisma.promptVariant.deleteMany({
where: {
experimentId: defaultId,
},
});
await prisma.promptVariant.createMany({
data: [
{
experimentId: defaultId,
label: "Prompt Variant 1",
sortIndex: 0,
model: "gpt-3.5-turbo-0613",
modelProvider: "openai/ChatCompletion",
constructFnVersion: 1,
constructFn: dedent`
definePrompt("openai/ChatCompletion", {
model: "gpt-3.5-turbo-0613",
messages: [
{
role: "user",
content: \`What is the capital of ${"$"}{scenario.country}?\`
}
],
temperature: 0,
})`,
},
{
experimentId: defaultId,
label: "Prompt Variant 2",
sortIndex: 1,
model: "gpt-3.5-turbo-0613",
modelProvider: "openai/ChatCompletion",
constructFnVersion: 1,
constructFn: dedent`
definePrompt("openai/ChatCompletion", {
model: "gpt-3.5-turbo-0613",
messages: [
{
role: "user",
content: \`What is the capital of ${"$"}{scenario.country}? Return just the city name and nothing else.\`
}
],
temperature: 0,
})`,
},
],
});
await prisma.templateVariable.deleteMany({
where: {
experimentId: defaultId,
},
});
await prisma.templateVariable.createMany({
data: [
{
experimentId: defaultId,
label: "country",
},
],
});
await prisma.testScenario.deleteMany({
where: {
experimentId: defaultId,
},
});
await prisma.testScenario.createMany({
data: [
{
experimentId: defaultId,
sortIndex: 0,
variableValues: {
country: "Spain",
},
},
{
experimentId: defaultId,
sortIndex: 1,
variableValues: {
country: "USA",
},
},
{
experimentId: defaultId,
sortIndex: 2,
variableValues: {
country: "Chile",
},
},
],
});
const variants = await prisma.promptVariant.findMany({
where: {
experimentId: defaultId,
},
});
const scenarios = await prisma.testScenario.findMany({
where: {
experimentId: defaultId,
},
});
await Promise.all(
variants
.flatMap((variant) =>
scenarios.map((scenario) => ({
promptVariantId: variant.id,
testScenarioId: scenario.id,
})),
)
.map((cell) => generateNewCell(cell.promptVariantId, cell.testScenarioId)),
);