Merge pull request #239 from miurla/anthropic

Add Anthropic Support

.env.local.example

@@ -27,6 +27,9 @@ UPSTASH_REDIS_REST_TOKEN=[YOUR_UPSTASH_REDIS_REST_TOKEN]
 # Google Generative AI API key retrieved here: https://aistudio.google.com/app/apikey
 # GOOGLE_GENERATIVE_AI_API_KEY=[YOUR_GOOGLE_GENERATIVE_AI_API_KEY]
 
+# If you want to use Anthropic instead of OpenAI, enable the following settings.
+# ANTHROPIC_API_KEY=[YOUR_ANTHROPIC_API_KEY]
+
 # [Unstable] If you want to use Ollama, enable the following variables.
 # OLLAMA_MODEL=[YOUR_OLLAMA_MODEL] # The main model to use. Recommended: mistral or openhermes
 # OLLAMA_SUB_MODEL=[YOUR_OLLAMA_SUB_MODEL] # The sub model to use. Recommended: phi3 or llama3

README.md

@@ -26,8 +26,9 @@ An AI-powered search engine with a generative UI.
 - Get answers from specified URLs
 - Use as a search engine [※](#-search-engine)
 - Support for providers other than OpenAI
- - Google Generative AI Provider support [※](https://github.com/miurla/morphic/issues/192)
- - Ollama Provider support ([Unstable](https://github.com/miurla/morphic/issues/215))
+ - Google Generative AI Provider [※](https://github.com/miurla/morphic/issues/192)
+ - Anthropic Provider [※](https://github.com/miurla/morphic/pull/239)
+ - Ollama Provider ([Unstable](https://github.com/miurla/morphic/issues/215))
 - Specify the model to generate answers
  - Groq API support [※](https://github.com/miurla/morphic/pull/58)
 

app/actions.tsx

@@ -24,6 +24,7 @@ import { VideoSearchSection } from '@/components/video-search-section'
 import { transformToolMessages } from '@/lib/utils'
 import { AnswerSection } from '@/components/answer-section'
 import { ErrorCard } from '@/components/error-card'
+import { use } from 'react'
 
 async function submit(
  formData?: FormData,
@@ -101,6 +102,9 @@ async function submit(
  }
 
  async function processEvents() {
+ // Show the spinner
+ uiStream.append(<Spinner />)
+
  let action = { object: { next: 'proceed' } }
  // If the user skips the task, we proceed to the search
  if (!skip) action = (await taskManager(messages)) ?? action
@@ -131,24 +135,26 @@ async function submit(
 
  // Generate the answer
  let answer = ''
+ let stopReason = ''
  let toolOutputs: ToolResultPart[] = []
  let errorOccurred = false
+
  const streamText = createStreamableValue<string>()
+ uiStream.update(
+ <AnswerSection result={streamText.value} hasHeader={false} />
+ )
 
  // If useSpecificAPI is enabled, only function calls will be made
  // If not using a tool, this model generates the answer
  while (
  useSpecificAPI
- ? toolOutputs.length === 0 && answer.length === 0
- : answer.length === 0 && !errorOccurred
+ ? toolOutputs.length === 0 && answer.length === 0 && !errorOccurred
+ : stopReason !== 'stop' && !errorOccurred
  ) {
  // Search the web and generate the answer
- const { fullResponse, hasError, toolResponses } = await researcher(
- uiStream,
- streamText,
- messages,
- useSpecificAPI
- )
+ const { fullResponse, hasError, toolResponses, finishReason } =
+ await researcher(uiStream, streamText, messages)
+ stopReason = finishReason || ''
  answer = fullResponse
  toolOutputs = toolResponses
  errorOccurred = hasError
@@ -177,13 +183,13 @@ async function submit(
  // modify the messages to be used by the specific model
  const modifiedMessages = transformToolMessages(messages)
  const latestMessages = modifiedMessages.slice(maxMessages * -1)
- const { response, hasError } = await writer(
- uiStream,
- streamText,
- latestMessages
- )
+ const { response, hasError } = await writer(uiStream, latestMessages)
  answer = response
  errorOccurred = hasError
+ messages.push({
+ role: 'assistant',
+ content: answer
+ })
  }
 
  if (!errorOccurred) {
@@ -396,9 +402,7 @@ export const getUIStateFromAIState = (aiState: Chat) => {
  return {
  id,
  component: (
- <Section title="Related" separator={true}>
- <SearchRelated relatedQueries={relatedQueries.value} />
- </Section>
+ <SearchRelated relatedQueries={relatedQueries.value} />
  )
  }
  case 'followup':

components/answer-section.tsx

@@ -8,9 +8,13 @@ import { useEffect, useState } from 'react'
 
 export type AnswerSectionProps = {
  result?: StreamableValue<string>
+ hasHeader?: boolean
 }
 
-export function AnswerSection({ result }: AnswerSectionProps) {
+export function AnswerSection({
+ result,
+ hasHeader = true
+}: AnswerSectionProps) {
  const [data, error, pending] = useStreamableValue(result)
  const [content, setContent] = useState<string>('')
 
@@ -22,7 +26,7 @@ export function AnswerSection({ result }: AnswerSectionProps) {
  return (
  <div>
  {content.length > 0 ? (
- <Section title="Answer">
+ <Section title={hasHeader ? 'Answer' : undefined}>
  <BotMessage content={content} />
  </Section>
  ) : (

components/search-related.tsx

@@ -12,6 +12,8 @@ import {
 import { AI } from '@/app/actions'
 import { UserMessage } from './user-message'
 import { PartialRelated } from '@/lib/schema/related'
+import { Section } from './section'
+import { Skeleton } from './ui/skeleton'
 
 export interface SearchRelatedProps {
  relatedQueries: StreamableValue<PartialRelated>
@@ -26,6 +28,7 @@ export const SearchRelated: React.FC<SearchRelatedProps> = ({
  const [related, setRelated] = useState<PartialRelated>()
 
  useEffect(() => {
+ console.log('data', data)
  if (!data) return
  setRelated(data)
  }, [data])
@@ -56,25 +59,31 @@ export const SearchRelated: React.FC<SearchRelatedProps> = ({
  ])
  }
 
- return (
- <form onSubmit={handleSubmit} className="flex flex-wrap">
- {related?.items
- ?.filter(item => item?.query !== '')
- .map((item, index) => (
- <div className="flex items-start w-full" key={index}>
- <ArrowRight className="h-4 w-4 mr-2 mt-1 flex-shrink-0 text-accent-foreground/50" />
- <Button
- variant="link"
- className="flex-1 justify-start px-0 py-1 h-fit font-semibold text-accent-foreground/50 whitespace-normal text-left"
- type="submit"
- name={'related_query'}
- value={item?.query}
- >
- {item?.query}
- </Button>
- </div>
- ))}
- </form>
+ return related ? (
+ <Section title="Related" separator={true}>
+ <form onSubmit={handleSubmit} className="flex flex-wrap">
+ {related?.items
+ ?.filter(item => item?.query !== '')
+ .map((item, index) => (
+ <div className="flex items-start w-full" key={index}>
+ <ArrowRight className="h-4 w-4 mr-2 mt-1 flex-shrink-0 text-accent-foreground/50" />
+ <Button
+ variant="link"
+ className="flex-1 justify-start px-0 py-1 h-fit font-semibold text-accent-foreground/50 whitespace-normal text-left"
+ type="submit"
+ name={'related_query'}
+ value={item?.query}
+ >
+ {item?.query}
+ </Button>
+ </div>
+ ))}
+ </form>
+ </Section>
+ ) : error ? null : (
+ <Section title="Related" separator={true}>
+ <Skeleton className="w-full h-6" />
+ </Section>
  )
 }
 

lib/agents/query-suggestor.tsx

@@ -1,7 +1,6 @@
 import { createStreamableUI, createStreamableValue } from 'ai/rsc'
 import { CoreMessage, streamObject } from 'ai'
 import { PartialRelated, relatedSchema } from '@/lib/schema/related'
-import { Section } from '@/components/section'
 import SearchRelated from '@/components/search-related'
 import { getModel } from '../utils'
 
@@ -10,11 +9,14 @@ export async function querySuggestor(
  messages: CoreMessage[]
 ) {
  const objectStream = createStreamableValue<PartialRelated>()
- uiStream.append(
- <Section title="Related" separator={true}>
- <SearchRelated relatedQueries={objectStream.value} />
- </Section>
- )
+ uiStream.append(<SearchRelated relatedQueries={objectStream.value} />)
+
+ const lastMessages = messages.slice(-1).map(message => {
+ return {
+ ...message,
+ role: 'user'
+ }
+ }) as CoreMessage[]
 
  let finalRelatedQueries: PartialRelated = {}
  await streamObject({
@@ -33,7 +35,7 @@ export async function querySuggestor(
 
  Aim to create queries that progressively delve into more specific aspects, implications, or adjacent topics related to the initial query. The goal is to anticipate the user's potential information needs and guide them towards a more comprehensive understanding of the subject matter.
  Please match the language of the response to the user's language.`,
- messages,
+ messages: lastMessages,
  schema: relatedSchema
  })
  .then(async result => {

lib/agents/researcher.tsx

@@ -3,16 +3,15 @@ import { CoreMessage, ToolCallPart, ToolResultPart, streamText } from 'ai'
 import { getTools } from './tools'
 import { getModel, transformToolMessages } from '../utils'
 import { AnswerSection } from '@/components/answer-section'
-import { AnswerSectionGenerated } from '@/components/answer-section-generated'
 
 export async function researcher(
  uiStream: ReturnType<typeof createStreamableUI>,
  streamableText: ReturnType<typeof createStreamableValue<string>>,
- messages: CoreMessage[],
- useSpecificModel?: boolean
+ messages: CoreMessage[]
 ) {
  let fullResponse = ''
  let hasError = false
+ let finishReason = ''
 
  // Transform the messages if using Ollama provider
  let processedMessages = messages
@@ -25,7 +24,9 @@ export async function researcher(
  const includeToolResponses = messages.some(message => message.role === 'tool')
  const useSubModel = useOllamaProvider && includeToolResponses
 
- const answerSection = <AnswerSection result={streamableText.value} />
+ const streambleAnswer = createStreamableValue<string>('')
+ const answerSection = <AnswerSection result={streambleAnswer.value} />
+
  const currentDate = new Date().toLocaleString()
  const result = await streamText({
  model: getModel(useSubModel),
@@ -39,12 +40,18 @@ export async function researcher(
  The number must always match the order of the search results.
  The retrieve tool can only be used with URLs provided by the user. URLs from search results cannot be used.
  If it is a domain instead of a URL, specify it in the include_domains of the search tool.
- Please match the language of the response to the user's language. Current date and time: ${currentDate}`,
+ Please match the language of the response to the user's language. Current date and time: ${currentDate}
+ `,
  messages: processedMessages,
  tools: getTools({
  uiStream,
  fullResponse
- })
+ }),
+ onFinish: async event => {
+ finishReason = event.finishReason
+ fullResponse = event.text
+ streambleAnswer.done()
+ }
  }).catch(err => {
  hasError = true
  fullResponse = 'Error: ' + err.message
@@ -56,6 +63,11 @@ export async function researcher(
  return { result, fullResponse, hasError, toolResponses: [] }
  }
 
+ const hasToolResult = messages.some(message => message.role === 'tool')
+ if (hasToolResult) {
+ uiStream.append(answerSection)
+ }
+
  // Process the response
  const toolCalls: ToolCallPart[] = []
  const toolResponses: ToolResultPart[] = []
@@ -64,17 +76,17 @@ export async function researcher(
  case 'text-delta':
  if (delta.textDelta) {
  fullResponse += delta.textDelta
- streamableText.update(fullResponse)
+ if (hasToolResult) {
+ streambleAnswer.update(fullResponse)
+ } else {
+ streamableText.update(fullResponse)
+ }
  }
  break
  case 'tool-call':
  toolCalls.push(delta)
  break
  case 'tool-result':
- // Append the answer section if the specific model is not used
- if (!useSpecificModel && toolResponses.length === 0 && delta.result) {
- uiStream.append(answerSection)
- }
  if (!delta.result) {
  hasError = true
  }
@@ -97,5 +109,5 @@ export async function researcher(
  messages.push({ role: 'tool', content: toolResponses })
  }
 
- return { result, fullResponse, hasError, toolResponses }
+ return { result, fullResponse, hasError, toolResponses, finishReason }
 }

lib/agents/tools/search.tsx

@@ -18,7 +18,7 @@ export const searchTool = ({ uiStream, fullResponse }: ToolProps) => tool({
  let hasError = false
  // Append the search section
  const streamResults = createStreamableValue<string>()
- uiStream.append(
+ uiStream.update(
  <SearchSection
  result={streamResults.value}
  includeDomains={include_domains}

lib/agents/writer.tsx

@@ -6,12 +6,12 @@ import { AnswerSectionGenerated } from '@/components/answer-section-generated'
 
 export async function writer(
  uiStream: ReturnType<typeof createStreamableUI>,
- streamableText: ReturnType<typeof createStreamableValue<string>>,
  messages: CoreMessage[]
 ) {
  let fullResponse = ''
  let hasError = false
- const answerSection = <AnswerSection result={streamableText.value} />
+ const streamableAnswer = createStreamableValue<string>('')
+ const answerSection = <AnswerSection result={streamableAnswer.value} />
  uiStream.append(answerSection)
 
  const openai = createOpenAI({
@@ -31,23 +31,22 @@ export async function writer(
  `,
  messages,
  onFinish: event => {
- // If the response is generated, update the generated answer section
- // There is a bug where a new instance of the answer section is displayed once when the next section is added
- uiStream.update(<AnswerSectionGenerated result={event.text} />)
+ fullResponse = event.text
+ streamableAnswer.done(event.text)
  }
  })
  .then(async result => {
  for await (const text of result.textStream) {
  if (text) {
  fullResponse += text
- streamableText.update(fullResponse)
+ streamableAnswer.update(fullResponse)
  }
  }
  })
  .catch(err => {
  hasError = true
  fullResponse = 'Error: ' + err.message
- streamableText.update(fullResponse)
+ streamableAnswer.update(fullResponse)
  })
 
  return { response: fullResponse, hasError }