Fix typescript hints for max_tokens

Slightly better typings for ModelProviders

.env.example

@@ -17,6 +17,9 @@ DATABASE_URL="postgresql://postgres:postgres@localhost:5432/openpipe?schema=publ
 # https://help.openai.com/en/articles/4936850-where-do-i-find-my-secret-api-key
 OPENAI_API_KEY=""
 
+# Replicate API token. Create a token here: https://replicate.com/account/api-tokens
+REPLICATE_API_TOKEN=""
+
 NEXT_PUBLIC_SOCKET_URL="http://localhost:3318"
 
 # Next Auth

src/components/AutoResizeTextArea.tsx

@@ -1,19 +1,22 @@
 import { Textarea, type TextareaProps } from "@chakra-ui/react";
 import ResizeTextarea from "react-textarea-autosize";
-import React from "react";
+import React, { useLayoutEffect, useState } from "react";
 
 export const AutoResizeTextarea: React.ForwardRefRenderFunction<
   HTMLTextAreaElement,
   TextareaProps & { minRows?: number }
-> = (props, ref) => {
+> = ({ minRows = 1, overflowY = "hidden", ...props }, ref) => {
+  const [isRerendered, setIsRerendered] = useState(false);
+  useLayoutEffect(() => setIsRerendered(true), []);
+
   return (
     <Textarea
       minH="unset"
-      overflow="hidden"
+      minRows={minRows}
+      overflowY={isRerendered ? overflowY : "hidden"}
       w="100%"
       resize="none"
       ref={ref}
-      minRows={1}
       transition="height none"
       as={ResizeTextarea}
       {...props}

src/components/OutputsTable/FloatingLabelInput.tsx

@@ -18,11 +18,9 @@ export const FloatingLabelInput = ({
         transform={isFocused || !!value ? "translateY(-50%)" : "translateY(0)"}
         fontSize={isFocused || !!value ? "12px" : "16px"}
         transition="all 0.15s"
-        zIndex="100"
+        zIndex="5"
         bg="white"
         px={1}
-        mt={0}
-        mb={2}
         lineHeight="1"
         pointerEvents="none"
         color={isFocused ? "blue.500" : "gray.500"}

src/components/OutputsTable/NewScenarioButton.tsx

@@ -49,7 +49,11 @@ export default function NewScenarioButton() {
         Add Scenario
       </StyledButton>
       <StyledButton onClick={onAutogenerate}>
-        <Icon as={autogenerating ? Spinner : BsPlus} boxSize={6} mr={autogenerating ? 1 : 0} />
+        <Icon
+          as={autogenerating ? Spinner : BsPlus}
+          boxSize={autogenerating ? 4 : 6}
+          mr={autogenerating ? 2 : 0}
+        />
         Autogenerate Scenario
       </StyledButton>
     </HStack>

src/components/OutputsTable/OutputCell/OutputCell.tsx

@@ -10,7 +10,7 @@ import useSocket from "~/utils/useSocket";
 import { OutputStats } from "./OutputStats";
 import { ErrorHandler } from "./ErrorHandler";
 import { CellOptions } from "./CellOptions";
-import modelProvidersFrontend from "~/modelProviders/modelProvidersFrontend";
+import frontendModelProviders from "~/modelProviders/frontendModelProviders";
 
 export default function OutputCell({
   scenario,
@@ -40,7 +40,7 @@ export default function OutputCell({
   );
 
   const provider =
-    modelProvidersFrontend[variant.modelProvider as keyof typeof modelProvidersFrontend];
+    frontendModelProviders[variant.modelProvider as keyof typeof frontendModelProviders];
 
   type OutputSchema = Parameters<typeof provider.normalizeOutput>[0];
 
@@ -88,11 +88,9 @@ export default function OutputCell({
   }
 
   const normalizedOutput = modelOutput
-    ? // @ts-expect-error TODO FIX ASAP
-      provider.normalizeOutput(modelOutput.output as unknown as OutputSchema)
+    ? provider.normalizeOutput(modelOutput.output)
     : streamedMessage
-    ? // @ts-expect-error TODO FIX ASAP
-      provider.normalizeOutput(streamedMessage)
+    ? provider.normalizeOutput(streamedMessage)
     : null;
 
   if (modelOutput && normalizedOutput?.type === "json") {

src/components/OutputsTable/styles.ts

@@ -4,5 +4,5 @@ export const stickyHeaderStyle: SystemStyleObject = {
   position: "sticky",
   top: "0",
   backgroundColor: "#fff",
-  zIndex: 1,
+  zIndex: 10,
 };

src/components/RefinePromptModal/CompareFunctions.tsx

@@ -1,4 +1,4 @@
-import { HStack, VStack, useBreakpointValue } from "@chakra-ui/react";
+import { type StackProps, VStack, useBreakpointValue } from "@chakra-ui/react";
 import React from "react";
 import DiffViewer, { DiffMethod } from "react-diff-viewer";
 import Prism from "prismjs";
@@ -19,10 +19,15 @@ const highlightSyntax = (str: string) => {
 const CompareFunctions = ({
   originalFunction,
   newFunction = "",
+  leftTitle = "Original",
+  rightTitle = "Modified",
+  ...props
 }: {
   originalFunction: string;
   newFunction?: string;
-}) => {
+  leftTitle?: string;
+  rightTitle?: string;
+} & StackProps) => {
   const showSplitView = useBreakpointValue(
     {
       base: false,
@@ -34,22 +39,20 @@ const CompareFunctions = ({
   );
 
   return (
-    <HStack w="full" spacing={5}>
-      <VStack w="full" spacing={4} maxH="40vh" fontSize={12} lineHeight={1} overflowY="auto">
+    <VStack w="full" spacing={4} fontSize={12} lineHeight={1} overflowY="auto" {...props}>
       <DiffViewer
         oldValue={originalFunction}
         newValue={newFunction || originalFunction}
         splitView={showSplitView}
         hideLineNumbers={!showSplitView}
-          leftTitle="Original"
-          rightTitle={newFunction ? "Modified" : "Unmodified"}
+        leftTitle={leftTitle}
+        rightTitle={rightTitle}
         disableWordDiff={true}
         compareMethod={DiffMethod.CHARS}
         renderContent={highlightSyntax}
         showDiffOnly={false}
       />
     </VStack>
-    </HStack>
   );
 };
 

src/components/RefinePromptModal/CustomInstructionsInput.tsx

@@ -56,7 +56,6 @@ export const CustomInstructionsInput = ({
           minW="unset"
           size="sm"
           onClick={() => onSubmit()}
-          disabled={!instructions}
           variant={instructions ? "solid" : "ghost"}
           mr={4}
           borderRadius="8"

src/components/RefinePromptModal/RefinePromptModal.tsx

@@ -36,25 +36,25 @@ export const RefinePromptModal = ({
 }) => {
   const utils = api.useContext();
 
-  const { mutateAsync: getRefinedPromptMutateAsync, data: refinedPromptFn } =
-    api.promptVariants.getRefinedPromptFn.useMutation();
+  const { mutateAsync: getModifiedPromptMutateAsync, data: refinedPromptFn } =
+    api.promptVariants.getModifiedPromptFn.useMutation();
   const [instructions, setInstructions] = useState<string>("");
 
   const [activeRefineOptionLabel, setActiveRefineOptionLabel] = useState<
     RefineOptionLabel | undefined
   >(undefined);
 
-  const [getRefinedPromptFn, refiningInProgress] = useHandledAsyncCallback(
+  const [getModifiedPromptFn, modificationInProgress] = useHandledAsyncCallback(
     async (label?: RefineOptionLabel) => {
       if (!variant.experimentId) return;
       const updatedInstructions = label ? refineOptions[label].instructions : instructions;
       setActiveRefineOptionLabel(label);
-      await getRefinedPromptMutateAsync({
+      await getModifiedPromptMutateAsync({
         id: variant.id,
         instructions: updatedInstructions,
       });
     },
-    [getRefinedPromptMutateAsync, onClose, variant, instructions, setActiveRefineOptionLabel],
+    [getModifiedPromptMutateAsync, onClose, variant, instructions, setActiveRefineOptionLabel],
   );
 
   const replaceVariantMutation = api.promptVariants.replaceVariant.useMutation();
@@ -75,7 +75,11 @@ export const RefinePromptModal = ({
   }, [replaceVariantMutation, variant, onClose, refinedPromptFn]);
 
   return (
-    <Modal isOpen onClose={onClose} size={{ base: "xl", sm: "2xl", md: "7xl" }}>
+    <Modal
+      isOpen
+      onClose={onClose}
+      size={{ base: "xl", sm: "2xl", md: "3xl", lg: "5xl", xl: "7xl" }}
+    >
       <ModalOverlay />
       <ModalContent w={1200}>
         <ModalHeader>
@@ -93,15 +97,15 @@ export const RefinePromptModal = ({
                   label="Convert to function call"
                   activeLabel={activeRefineOptionLabel}
                   icon={VscJson}
-                  onClick={getRefinedPromptFn}
-                  loading={refiningInProgress}
+                  onClick={getModifiedPromptFn}
+                  loading={modificationInProgress}
                 />
                 <RefineOption
                   label="Add chain of thought"
                   activeLabel={activeRefineOptionLabel}
                   icon={TfiThought}
-                  onClick={getRefinedPromptFn}
-                  loading={refiningInProgress}
+                  onClick={getModifiedPromptFn}
+                  loading={modificationInProgress}
                 />
               </SimpleGrid>
               <HStack>
@@ -110,13 +114,14 @@ export const RefinePromptModal = ({
               <CustomInstructionsInput
                 instructions={instructions}
                 setInstructions={setInstructions}
-                loading={refiningInProgress}
-                onSubmit={getRefinedPromptFn}
+                loading={modificationInProgress}
+                onSubmit={getModifiedPromptFn}
               />
             </VStack>
             <CompareFunctions
               originalFunction={variant.constructFn}
               newFunction={isString(refinedPromptFn) ? refinedPromptFn : undefined}
+              maxH="40vh"
             />
           </VStack>
         </ModalBody>
@@ -124,12 +129,10 @@ export const RefinePromptModal = ({
         <ModalFooter>
           <HStack spacing={4}>
             <Button
+              colorScheme="blue"
               onClick={replaceVariant}
               minW={24}
-              disabled={replacementInProgress || !refinedPromptFn}
-              _disabled={{
-                bgColor: "blue.500",
-              }}
+              isDisabled={replacementInProgress || !refinedPromptFn}
             >
               {replacementInProgress ? <Spinner boxSize={4} /> : <Text>Accept</Text>}
             </Button>

src/components/RefinePromptModal/refineOptions.ts

@@ -12,7 +12,7 @@ export const refineOptions: Record<
       
     This is what a prompt looks like before adding chain of thought:
     
-    prompt = {
+    definePrompt("openai/ChatCompletion", {
         model: "gpt-4",
         stream: true,
         messages: [
@@ -25,11 +25,11 @@ export const refineOptions: Record<
             content: \`This is the user's message: \${scenario.user_message}. Return "positive" or "negative" or "neutral"\`,
             },
         ],
-    };
+    });
 
     This is what one looks like after adding chain of thought:
 
-    prompt = {
+    definePrompt("openai/ChatCompletion", {
         model: "gpt-4",
         stream: true,
         messages: [
@@ -42,13 +42,13 @@ export const refineOptions: Record<
             content: \`This is the user's message: \${scenario.user_message}. Return "positive" or "negative" or "neutral". Explain your answer before you give a score, then return the score on a new line.\`,
             },
         ],
-    };
+    });
 
     Here's another example:
 
     Before:
 
-    prompt = {
+    definePrompt("openai/ChatCompletion", {
         model: "gpt-3.5-turbo",
         messages: [
           {
@@ -78,11 +78,11 @@ export const refineOptions: Record<
         function_call: {
           name: "score_post",
         },
-      };
+      });
 
     After:
 
-    prompt = {
+    definePrompt("openai/ChatCompletion", {
         model: "gpt-3.5-turbo",
         messages: [
           {
@@ -115,7 +115,7 @@ export const refineOptions: Record<
         function_call: {
           name: "score_post",
         },
-      };
+      });
 
     Add chain of thought to the original prompt.`,
   },
@@ -125,7 +125,7 @@ export const refineOptions: Record<
     
     This is what a prompt looks like before adding a function:
     
-    prompt = {
+    definePrompt("openai/ChatCompletion", {
       model: "gpt-4",
       stream: true,
       messages: [
@@ -138,11 +138,11 @@ export const refineOptions: Record<
           content: \`This is the user's message: \${scenario.user_message}. Return "positive" or "negative" or "neutral"\`,
         },
       ],
-    };
+    });
   
     This is what one looks like after adding a function:
   
-    prompt = {
+    definePrompt("openai/ChatCompletion", {
       model: "gpt-4",
       stream: true,
       messages: [
@@ -172,13 +172,13 @@ export const refineOptions: Record<
       function_call: {
         name: "extract_sentiment",
       },
-    };
+    });
 
     Here's another example of adding a function:
 
     Before:
 
-    prompt = {
+    definePrompt("openai/ChatCompletion", {
         model: "gpt-3.5-turbo",
         messages: [
           {
@@ -196,11 +196,11 @@ export const refineOptions: Record<
           },
         ],
         temperature: 0,
-    };
+    });
 
     After:
 
-    prompt = {
+    definePrompt("openai/ChatCompletion", {
         model: "gpt-3.5-turbo",
         messages: [
           {
@@ -230,7 +230,7 @@ export const refineOptions: Record<
         function_call: {
           name: "score_post",
         },
-      };
+      });
     
     Add an OpenAI function that takes one or more nested parameters that match the expected output from this prompt.`,
   },

src/components/SelectModelModal/SelectModelModal.tsx

@@ -20,36 +20,60 @@ import { ModelStatsCard } from "./ModelStatsCard";
 import { SelectModelSearch } from "./SelectModelSearch";
 import { api } from "~/utils/api";
 import { useExperiment, useHandledAsyncCallback } from "~/utils/hooks";
+import CompareFunctions from "../RefinePromptModal/CompareFunctions";
+import { type PromptVariant } from "@prisma/client";
+import { isObject, isString } from "lodash-es";
 
 export const SelectModelModal = ({
-  originalModel,
-  variantId,
+  variant,
   onClose,
 }: {
-  originalModel: SupportedModel;
-  variantId: string;
+  variant: PromptVariant;
   onClose: () => void;
 }) => {
+  const originalModel = variant.model as SupportedModel;
   const [selectedModel, setSelectedModel] = useState<SupportedModel>(originalModel);
+  const [convertedModel, setConvertedModel] = useState<SupportedModel | undefined>(undefined);
   const utils = api.useContext();
 
   const experiment = useExperiment();
 
-  const createMutation = api.promptVariants.create.useMutation();
+  const { mutateAsync: getModifiedPromptMutateAsync, data: modifiedPromptFn } =
+    api.promptVariants.getModifiedPromptFn.useMutation();
 
-  const [createNewVariant, creationInProgress] = useHandledAsyncCallback(async () => {
-    if (!experiment?.data?.id) return;
-    await createMutation.mutateAsync({
-      experimentId: experiment?.data?.id,
-      variantId,
+  const [getModifiedPromptFn, modificationInProgress] = useHandledAsyncCallback(async () => {
+    if (!experiment) return;
+
+    await getModifiedPromptMutateAsync({
+      id: variant.id,
       newModel: selectedModel,
     });
+    setConvertedModel(selectedModel);
+  }, [getModifiedPromptMutateAsync, onClose, experiment, variant, selectedModel]);
+
+  const replaceVariantMutation = api.promptVariants.replaceVariant.useMutation();
+
+  const [replaceVariant, replacementInProgress] = useHandledAsyncCallback(async () => {
+    if (
+      !variant.experimentId ||
+      !modifiedPromptFn ||
+      (isObject(modifiedPromptFn) && "status" in modifiedPromptFn)
+    )
+      return;
+    await replaceVariantMutation.mutateAsync({
+      id: variant.id,
+      constructFn: modifiedPromptFn,
+    });
     await utils.promptVariants.list.invalidate();
     onClose();
-  }, [createMutation, experiment?.data?.id, variantId, onClose]);
+  }, [replaceVariantMutation, variant, onClose, modifiedPromptFn]);
 
   return (
-    <Modal isOpen onClose={onClose} size={{ base: "xl", sm: "2xl", md: "3xl" }}>
+    <Modal
+      isOpen
+      onClose={onClose}
+      size={{ base: "xl", sm: "2xl", md: "3xl", lg: "5xl", xl: "7xl" }}
+    >
       <ModalOverlay />
       <ModalContent w={1200}>
         <ModalHeader>
@@ -66,18 +90,36 @@ export const SelectModelModal = ({
               <ModelStatsCard label="New Model" model={selectedModel} />
             )}
             <SelectModelSearch selectedModel={selectedModel} setSelectedModel={setSelectedModel} />
+            {isString(modifiedPromptFn) && (
+              <CompareFunctions
+                originalFunction={variant.constructFn}
+                newFunction={modifiedPromptFn}
+                leftTitle={originalModel}
+                rightTitle={convertedModel}
+              />
+            )}
           </VStack>
         </ModalBody>
 
         <ModalFooter>
+          <HStack>
+            <Button
+              colorScheme="gray"
+              onClick={getModifiedPromptFn}
+              minW={24}
+              isDisabled={originalModel === selectedModel || modificationInProgress}
+            >
+              {modificationInProgress ? <Spinner boxSize={4} /> : <Text>Convert</Text>}
+            </Button>
             <Button
               colorScheme="blue"
-            onClick={createNewVariant}
+              onClick={replaceVariant}
               minW={24}
-            disabled={originalModel === selectedModel}
+              isDisabled={!convertedModel || modificationInProgress || replacementInProgress}
             >
-            {creationInProgress ? <Spinner boxSize={4} /> : <Text>Continue</Text>}
+              {replacementInProgress ? <Spinner boxSize={4} /> : <Text>Accept</Text>}
             </Button>
+          </HStack>
         </ModalFooter>
       </ModalContent>
     </Modal>

src/components/VariantHeader/VariantHeaderMenuButton.tsx

@@ -18,7 +18,6 @@ import { useState } from "react";
 import { RefinePromptModal } from "../RefinePromptModal/RefinePromptModal";
 import { RiExchangeFundsFill } from "react-icons/ri";
 import { SelectModelModal } from "../SelectModelModal/SelectModelModal";
-import { type SupportedModel } from "~/server/types";
 
 export default function VariantHeaderMenuButton({
   variant,
@@ -99,11 +98,7 @@ export default function VariantHeaderMenuButton({
         </MenuList>
       </Menu>
       {selectModelModalOpen && (
-        <SelectModelModal
-          originalModel={variant.model as SupportedModel}
-          variantId={variant.id}
-          onClose={() => setSelectModelModalOpen(false)}
-        />
+        <SelectModelModal variant={variant} onClose={() => setSelectModelModalOpen(false)} />
       )}
       {refinePromptModalOpen && (
         <RefinePromptModal variant={variant} onClose={() => setRefinePromptModalOpen(false)} />

src/modelProviders/frontendModelProviders.ts

@@ -1,14 +1,15 @@
 import openaiChatCompletionFrontend from "./openai-ChatCompletion/frontend";
 import replicateLlama2Frontend from "./replicate-llama2/frontend";
+import { type SupportedProvider, type FrontendModelProvider } from "./types";
 
 // TODO: make sure we get a typescript error if you forget to add a provider here
 
 // Keep attributes here that need to be accessible from the frontend. We can't
 // just include them in the default `modelProviders` object because it has some
 // transient dependencies that can only be imported on the server.
-const modelProvidersFrontend = {
+const frontendModelProviders: Record<SupportedProvider, FrontendModelProvider<any, any>> = {
   "openai/ChatCompletion": openaiChatCompletionFrontend,
   "replicate/llama2": replicateLlama2Frontend,
-} as const;
+};
 
-export default modelProvidersFrontend;
+export default frontendModelProviders;

src/modelProviders/modelProviders.ts

@@ -1,9 +1,10 @@
 import openaiChatCompletion from "./openai-ChatCompletion";
 import replicateLlama2 from "./replicate-llama2";
+import { type SupportedProvider, type ModelProvider } from "./types";
 
-const modelProviders = {
+const modelProviders: Record<SupportedProvider, ModelProvider<any, any, any>> = {
   "openai/ChatCompletion": openaiChatCompletion,
   "replicate/llama2": replicateLlama2,
-} as const;
+};
 
 export default modelProviders;

src/modelProviders/openai-ChatCompletion/codegen/codegen.ts

@@ -56,6 +56,14 @@ modelProperty.type = "string";
 modelProperty.enum = modelProperty.oneOf[1].enum;
 delete modelProperty["oneOf"];
 
+// The default of "inf" confuses the Typescript generator, so can just remove it
+assert(
+  "max_tokens" in completionRequestSchema.properties &&
+    isObject(completionRequestSchema.properties.max_tokens) &&
+    "default" in completionRequestSchema.properties.max_tokens,
+);
+delete completionRequestSchema.properties.max_tokens["default"];
+
 // Get the directory of the current script
 const currentDirectory = path.dirname(import.meta.url).replace("file://", "");
 

src/modelProviders/openai-ChatCompletion/codegen/input.schema.json

@@ -150,7 +150,6 @@
     },
     "max_tokens": {
       "description": "The maximum number of [tokens](/tokenizer) to generate in the chat completion.\n\nThe total length of input tokens and generated tokens is limited by the model's context length. [Example Python code](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb) for counting tokens.\n",
-      "default": "inf",
       "type": "integer"
     },
     "presence_penalty": {

src/modelProviders/openai-ChatCompletion/frontend.ts

@@ -1,8 +1,30 @@
 import { type JsonValue } from "type-fest";
-import { type OpenaiChatModelProvider } from ".";
-import { type ModelProviderFrontend } from "../types";
+import { type SupportedModel } from ".";
+import { type FrontendModelProvider } from "../types";
+import { type ChatCompletion } from "openai/resources/chat";
+
+const frontendModelProvider: FrontendModelProvider<SupportedModel, ChatCompletion> = {
+  name: "OpenAI ChatCompletion",
+
+  models: {
+    "gpt-4-0613": {
+      name: "GPT-4",
+      learnMore: "https://openai.com/gpt-4",
+    },
+    "gpt-4-32k-0613": {
+      name: "GPT-4 32k",
+      learnMore: "https://openai.com/gpt-4",
+    },
+    "gpt-3.5-turbo-0613": {
+      name: "GPT-3.5 Turbo",
+      learnMore: "https://platform.openai.com/docs/guides/gpt/chat-completions-api",
+    },
+    "gpt-3.5-turbo-16k-0613": {
+      name: "GPT-3.5 Turbo 16k",
+      learnMore: "https://platform.openai.com/docs/guides/gpt/chat-completions-api",
+    },
+  },
 
-const modelProviderFrontend: ModelProviderFrontend<OpenaiChatModelProvider> = {
   normalizeOutput: (output) => {
     const message = output.choices[0]?.message;
     if (!message)
@@ -39,4 +61,4 @@ const modelProviderFrontend: ModelProviderFrontend<OpenaiChatModelProvider> = {
   },
 };
 
-export default modelProviderFrontend;
+export default frontendModelProvider;

src/modelProviders/openai-ChatCompletion/index.ts

@@ -3,6 +3,7 @@ import { type ModelProvider } from "../types";
 import inputSchema from "./codegen/input.schema.json";
 import { type ChatCompletion, type CompletionCreateParams } from "openai/resources/chat";
 import { getCompletion } from "./getCompletion";
+import frontendModelProvider from "./frontend";
 
 const supportedModels = [
   "gpt-4-0613",
@@ -11,7 +12,7 @@ const supportedModels = [
   "gpt-3.5-turbo-16k-0613",
 ] as const;
 
-type SupportedModel = (typeof supportedModels)[number];
+export type SupportedModel = (typeof supportedModels)[number];
 
 export type OpenaiChatModelProvider = ModelProvider<
   SupportedModel,
@@ -20,25 +21,6 @@ export type OpenaiChatModelProvider = ModelProvider<
 >;
 
 const modelProvider: OpenaiChatModelProvider = {
-  name: "OpenAI ChatCompletion",
-  models: {
-    "gpt-4-0613": {
-      name: "GPT-4",
-      learnMore: "https://openai.com/gpt-4",
-    },
-    "gpt-4-32k-0613": {
-      name: "GPT-4 32k",
-      learnMore: "https://openai.com/gpt-4",
-    },
-    "gpt-3.5-turbo-0613": {
-      name: "GPT-3.5 Turbo",
-      learnMore: "https://platform.openai.com/docs/guides/gpt/chat-completions-api",
-    },
-    "gpt-3.5-turbo-16k-0613": {
-      name: "GPT-3.5 Turbo 16k",
-      learnMore: "https://platform.openai.com/docs/guides/gpt/chat-completions-api",
-    },
-  },
   getModel: (input) => {
     if (supportedModels.includes(input.model as SupportedModel))
       return input.model as SupportedModel;
@@ -57,6 +39,7 @@ const modelProvider: OpenaiChatModelProvider = {
   inputSchema: inputSchema as JSONSchema4,
   shouldStream: (input) => input.stream ?? false,
   getCompletion,
+  ...frontendModelProvider,
 };
 
 export default modelProvider;

src/modelProviders/replicate-llama2/frontend.ts

@@ -1,7 +1,15 @@
-import { type ReplicateLlama2Provider } from ".";
-import { type ModelProviderFrontend } from "../types";
+import { type SupportedModel, type ReplicateLlama2Output } from ".";
+import { type FrontendModelProvider } from "../types";
+
+const frontendModelProvider: FrontendModelProvider<SupportedModel, ReplicateLlama2Output> = {
+  name: "Replicate Llama2",
+
+  models: {
+    "7b-chat": {},
+    "13b-chat": {},
+    "70b-chat": {},
+  },
 
-const modelProviderFrontend: ModelProviderFrontend<ReplicateLlama2Provider> = {
   normalizeOutput: (output) => {
     return {
       type: "text",
@@ -10,4 +18,4 @@ const modelProviderFrontend: ModelProviderFrontend<ReplicateLlama2Provider> = {
   },
 };
 
-export default modelProviderFrontend;
+export default frontendModelProvider;

src/modelProviders/replicate-llama2/index.ts

@@ -1,9 +1,10 @@
 import { type ModelProvider } from "../types";
+import frontendModelProvider from "./frontend";
 import { getCompletion } from "./getCompletion";
 
 const supportedModels = ["7b-chat", "13b-chat", "70b-chat"] as const;
 
-type SupportedModel = (typeof supportedModels)[number];
+export type SupportedModel = (typeof supportedModels)[number];
 
 export type ReplicateLlama2Input = {
   model: SupportedModel;
@@ -25,12 +26,6 @@ export type ReplicateLlama2Provider = ModelProvider<
 >;
 
 const modelProvider: ReplicateLlama2Provider = {
-  name: "OpenAI ChatCompletion",
-  models: {
-    "7b-chat": {},
-    "13b-chat": {},
-    "70b-chat": {},
-  },
   getModel: (input) => {
     if (supportedModels.includes(input.model)) return input.model;
 
@@ -69,6 +64,7 @@ const modelProvider: ReplicateLlama2Provider = {
   },
   shouldStream: (input) => input.stream ?? false,
   getCompletion,
+  ...frontendModelProvider,
 };
 
 export default modelProvider;

src/modelProviders/types.ts

@@ -1,11 +1,20 @@
 import { type JSONSchema4 } from "json-schema";
 import { type JsonValue } from "type-fest";
 
-type ModelProviderModel = {
+export type SupportedProvider = "openai/ChatCompletion" | "replicate/llama2";
+
+type ModelInfo = {
   name?: string;
   learnMore?: string;
 };
 
+export type FrontendModelProvider<SupportedModels extends string, OutputSchema> = {
+  name: string;
+  models: Record<SupportedModels, ModelInfo>;
+
+  normalizeOutput: (output: OutputSchema) => NormalizedOutput;
+};
+
 export type CompletionResponse<T> =
   | { type: "error"; message: string; autoRetry: boolean; statusCode?: number }
   | {
@@ -19,8 +28,6 @@ export type CompletionResponse<T> =
     };
 
 export type ModelProvider<SupportedModels extends string, InputSchema, OutputSchema> = {
-  name: string;
-  models: Record<SupportedModels, ModelProviderModel>;
   getModel: (input: InputSchema) => SupportedModels | null;
   shouldStream: (input: InputSchema) => boolean;
   inputSchema: JSONSchema4;
@@ -31,7 +38,7 @@ export type ModelProvider<SupportedModels extends string, InputSchema, OutputSch
 
   // This is just a convenience for type inference, don't use it at runtime
   _outputSchema?: OutputSchema | null;
-};
+} & FrontendModelProvider<SupportedModels, OutputSchema>;
 
 export type NormalizedOutput =
   | {
@@ -42,7 +49,3 @@ export type NormalizedOutput =
       type: "json";
       value: JsonValue;
     };
-
-export type ModelProviderFrontend<ModelProviderT extends ModelProvider<any, any, any>> = {
-  normalizeOutput: (output: NonNullable<ModelProviderT["_outputSchema"]>) => NormalizedOutput;
-};

src/pages/experiments/index.tsx

@@ -20,11 +20,13 @@ export default function ExperimentsPage() {
   const experiments = api.experiments.list.useQuery();
 
   const user = useSession().data;
+  const authLoading = useSession().status === "loading";
 
-  if (user === null) {
+  if (user === null || authLoading) {
     return (
       <AppShell title="Experiments">
         <Center h="100%">
+          {!authLoading && (
             <Text>
               <Link
                 onClick={() => {
@@ -36,6 +38,7 @@ export default function ExperimentsPage() {
               </Link>{" "}
               to view or create new experiments!
             </Text>
+          )}
         </Center>
       </AppShell>
     );

src/server/api/routers/experiments.router.ts

@@ -98,7 +98,7 @@ export const experimentsRouter = createTRPCRouter({
       },
     });
 
-    const [variant, _, scenario] = await prisma.$transaction([
+    const [variant, _, scenario1, scenario2, scenario3] = await prisma.$transaction([
       prisma.promptVariant.create({
         data: {
           experimentId: exp.id,
@@ -121,7 +121,7 @@ export const experimentsRouter = createTRPCRouter({
             messages: [
               {
                 role: "system",
-                content: \`"Return 'this is output for the scenario "${"$"}{scenario.text}"'\`,
+                content: \`Write 'Start experimenting!' in ${"$"}{scenario.language}\`,
               },
             ],
           });`,
@@ -133,20 +133,38 @@ export const experimentsRouter = createTRPCRouter({
       prisma.templateVariable.create({
         data: {
           experimentId: exp.id,
-          label: "text",
+          label: "language",
         },
       }),
       prisma.testScenario.create({
         data: {
           experimentId: exp.id,
           variableValues: {
-            text: "This is a test scenario.",
+            language: "English",
+          },
+        },
+      }),
+      prisma.testScenario.create({
+        data: {
+          experimentId: exp.id,
+          variableValues: {
+            language: "Spanish",
+          },
+        },
+      }),
+      prisma.testScenario.create({
+        data: {
+          experimentId: exp.id,
+          variableValues: {
+            language: "German",
           },
         },
       }),
     ]);
 
-    await generateNewCell(variant.id, scenario.id);
+    await generateNewCell(variant.id, scenario1.id);
+    await generateNewCell(variant.id, scenario2.id);
+    await generateNewCell(variant.id, scenario3.id);
 
     return exp;
   }),

src/server/api/routers/promptVariants.router.ts

@@ -284,11 +284,12 @@ export const promptVariantsRouter = createTRPCRouter({
       return updatedPromptVariant;
     }),
 
-  getRefinedPromptFn: protectedProcedure
+  getModifiedPromptFn: protectedProcedure
     .input(
       z.object({
         id: z.string(),
-        instructions: z.string(),
+        instructions: z.string().optional(),
+        newModel: z.string().optional(),
       }),
     )
     .mutation(async ({ input, ctx }) => {
@@ -307,7 +308,7 @@ export const promptVariantsRouter = createTRPCRouter({
 
       const promptConstructionFn = await deriveNewConstructFn(
         existing,
-        constructedPrompt.model as SupportedModel,
+        input.newModel as SupportedModel | undefined,
         input.instructions,
       );
 

src/server/tasks/queryLLM.task.ts

@@ -99,7 +99,6 @@ export const queryLLM = defineTask<queryLLMJob>("queryLLM", async (task) => {
 
   const provider = modelProviders[prompt.modelProvider];
 
-  // @ts-expect-error TODO FIX ASAP
   const streamingChannel = provider.shouldStream(prompt.modelInput) ? generateChannel() : null;
 
   if (streamingChannel) {
@@ -116,8 +115,6 @@ export const queryLLM = defineTask<queryLLMJob>("queryLLM", async (task) => {
     : null;
 
   for (let i = 0; true; i++) {
-    // @ts-expect-error TODO FIX ASAP
-
     const response = await provider.getCompletion(prompt.modelInput, onStream);
     if (response.type === "success") {
       const inputHash = hashPrompt(prompt);
@@ -126,7 +123,7 @@ export const queryLLM = defineTask<queryLLMJob>("queryLLM", async (task) => {
         data: {
           scenarioVariantCellId,
           inputHash,
-          output: response.value as unknown as Prisma.InputJsonObject,
+          output: response.value as Prisma.InputJsonObject,
           timeToComplete: response.timeToComplete,
           promptTokens: response.promptTokens,
           completionTokens: response.completionTokens,
@@ -154,7 +151,7 @@ export const queryLLM = defineTask<queryLLMJob>("queryLLM", async (task) => {
           errorMessage: response.message,
           statusCode: response.statusCode,
           retryTime: shouldRetry ? new Date(Date.now() + delay) : null,
-          retrievalStatus: shouldRetry ? "PENDING" : "ERROR",
+          retrievalStatus: "ERROR",
         },
       });
 

src/server/utils/deriveNewContructFn.ts

@@ -52,11 +52,15 @@ const requestUpdatedPromptFunction = async (
             2,
           )}\n\nDo not add any assistant messages.`,
         },
+        {
+          role: "user",
+          content: `This is the current prompt constructor function:\n---\n${originalVariant.constructFn}`,
+        },
       ];
       if (newModel) {
         messages.push({
           role: "user",
-          content: `Return the prompt constructor function for ${newModel} given the following prompt constructor function for ${originalModel}:\n---\n${originalVariant.constructFn}`,
+          content: `Return the prompt constructor function for ${newModel} given the existing prompt constructor function for ${originalModel}`,
         });
       }
       if (instructions) {
@@ -65,10 +69,6 @@ const requestUpdatedPromptFunction = async (
           content: instructions,
         });
       }
-      messages.push({
-        role: "system",
-        content: "The prompt variable has already been declared, so do not declare it again.",
-      });
       const completion = await openai.chat.completions.create({
         model: "gpt-4",
         messages,

src/server/utils/parseConstructFn.ts

@@ -70,7 +70,6 @@ export default async function parseConstructFn(
     // We've validated the JSON schema so this should be safe
     const input = prompt.input as Parameters<(typeof provider)["getModel"]>[0];
 
-    // @ts-expect-error TODO FIX ASAP
     const model = provider.getModel(input);
     if (!model) {
       return {
@@ -80,8 +79,6 @@ export default async function parseConstructFn(
 
     return {
       modelProvider: prompt.modelProvider as keyof typeof modelProviders,
-      // @ts-expect-error TODO FIX ASAP
-
       model,
       modelInput: input,
     };