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anthropic.ts
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import Anthropic from 'npm:@anthropic-ai/sdk@0.29.0'
import {prompts, PromptType} from "./prompts.ts"
import {ReadConfig, UpdateCurrentChat, WriteConfig, type CurrentChat} from "./utils.ts"
import {Stream} from "npm:@anthropic-ai/sdk@0.29.0/streaming"
import {RawMessageStreamEvent} from "npm:@anthropic-ai/sdk@0.27.3/resources/messages"
let currentChat: CurrentChat | null = null
type modelType = keyof typeof modelMapping
const modelMapping = {
"claude-3-haiku": 'claude-3-haiku-20240307',
'claude-3-sonnet': 'claude-3-sonnet-20240229',
'claude-3-opus': 'claude-3-opus-20240229',
'claude-3.5-sonnet': 'claude-3-5-sonnet-20241022',
'claude-3.5-sonnet-legacy': 'claude-3-5-sonnet-20240620',
'claude-3.5-sonnet-latest': 'claude-3-5-sonnet-latest',
'haiku-3': 'claude-3-haiku-20240307',
'sonnet-3': 'claude-3-sonnet-20240229',
'opus-3': 'claude-3-opus-20240229',
'sonnet-3.5': 'claude-3-5-sonnet-20241022',
'sonnet-3.5-legacy': 'claude-3-5-sonnet-20240620',
'sonnet-3.5-latest': 'claude-3-5-sonnet-latest',
}
function getClient() {
const config = ReadConfig()
return new Anthropic({
apiKey: config?.anthropicKey, // This is the default and can be omitted
})
}
function getModelPerPromptType(promptType?: PromptType): string {
switch (promptType) {
case PromptType.WEAK:
return 'claude-3-haiku-20240307'
case PromptType.MIDDLE:
return 'claude-3-opus-20240229'
case PromptType.STRONG:
return 'claude-3-5-sonnet-20241022'
default:
return 'claude-3-haiku-20240307'
}
}
export async function figuringOutIaC(projectLayout: string, stream: boolean = true, isVerbose: boolean = false) {
const prompt = prompts.figuringOutIac
const modelId = getModelPerPromptType(prompt.defaultModel)
const systemPrompt = prompt.prompt
const userPrompt = `<ProjectLayout>${projectLayout}</ProjectLayout>`
return await generateAIResponse(modelId, systemPrompt, userPrompt, stream, isVerbose)
}
export async function figuringOutResources(iacFilesContent: string, stage: string, stream: boolean = true, isVerbose: boolean = false) {
const prompt = prompts.figuringOutResources
const modelId = getModelPerPromptType(prompt.defaultModel)
const systemPrompt = prompt.prompt
const userPrompt = `<IaCFilesContent>${iacFilesContent}</IaCFilesContent>\n<Stage>${stage}</Stage>`
return await generateAIResponse(modelId, systemPrompt, userPrompt, stream, isVerbose)
}
export async function figuringOutStackName(iacFilesContent: string, stage: string, stream: boolean = true, isVerbose: boolean = false) {
const prompt = prompts.figuringOutStackName
const modelId = getModelPerPromptType(prompt.defaultModel)
const systemPrompt = prompt.prompt
const userPrompt = `<ServerlessConfig>${iacFilesContent}</ServerlessConfig>\n<Stage>${stage}</Stage>`
return await generateAIResponse(modelId, systemPrompt, userPrompt, stream, isVerbose)
}
async function generateAIResponse(modelId: string, systemPrompt: string, userPrompt: string, stream: boolean = true, isVerbose: boolean = false) {
const client = getClient()
if (isVerbose) {
console.log(JSON.stringify({
level: "info",
message: "Generating AI Response",
modelId,
systemPrompt,
userPrompt
}))
}
const response = await client.messages.create({
max_tokens: 1024,
model: modelId,
system: systemPrompt,
messages: [
{
role: 'user',
content: userPrompt
}
],
stream: stream
})
if (isVerbose) {
console.log(JSON.stringify({
level: "info",
message: "Response received from Anthropic API"
}))
}
if (stream) {
if (isVerbose) {
console.log(JSON.stringify({
level: "info",
message: "Streaming response"
}))
}
return convertStreamToStringStream(response as Stream<RawMessageStreamEvent>, isVerbose)
} else {
const message = response as Anthropic.Message
if (message.stop_reason === 'tool_use') {
if (isVerbose) {
console.log(JSON.stringify({
level: "info",
message: "Tool use detected in response"
}))
}
const toolContent = message.content.find(contentData => contentData.type === 'tool_use')
if (toolContent) {
const result = JSON.stringify(toolContent.input)
if (isVerbose) {
console.log(JSON.stringify({
level: "info",
message: "Tool use content",
content: result
}))
}
return result
} else {
if (isVerbose) {
console.log(JSON.stringify({
level: "info",
message: "No tool content found"
}))
}
return ""
}
}
const data = message.content.filter(content => content.type === 'text').map(content => content.text).join("\n")
if (isVerbose) {
console.log(JSON.stringify({
level: "info",
message: "Response data",
data
}))
}
return data
}
}
export async function figuringOutCommands(resourceList: string, userQuery: string,
profile: string, region: string, stackName: string, existingStack: string, stream: boolean = true, isVerbose: boolean = false) {
const prompt = prompts.figuringOutCommands
const modelId = getModelPerPromptType(prompt.defaultModel)
const systemPrompt = prompt.prompt
const userPrompt = `<ExistingStack>${existingStack}</ExistingStack><StackName>${stackName}</StackName><ResourceList>${resourceList}</ResourceList>\n<UserQuery>${userQuery}</UserQuery>, <Profile>${profile}</Profile>, <Region>${region}</Region>`
// Save the current chat configuration
currentChat = {
systemPrompt: systemPrompt,
modelId: modelId
}
if (isVerbose) {
console.log(JSON.stringify({
level: "info",
message: "Current chat configuration saved",
currentChat
}))
}
const aiResponse = await generateAIResponse(modelId, systemPrompt, userPrompt, stream, isVerbose)
UpdateCurrentChat(currentChat)
return aiResponse
}
export async function explainingOutput(userQuery: string, awsCliCommand: string, commandResponse: string, stream: boolean = true, isVerbose: boolean = false) {
const prompt = prompts.explainingOutput
const modelId = getModelPerPromptType(prompt.defaultModel)
const systemPrompt = prompt.prompt
const userPrompt = `<UserQuery>${userQuery}</UserQuery>\n<AwsCliCommand>${awsCliCommand}</AwsCliCommand>\n<CommandResponse>${commandResponse}</CommandResponse>`
return await generateAIResponse(modelId, systemPrompt, userPrompt, stream, isVerbose)
}
export async function continueConversation(userMessages: Array<{role: "user" | "assistant", content: string}>, stream: boolean = true, isVerbose: boolean = false) {
const client = getClient()
const config = ReadConfig()
if (!config.currentChat) {
console.log('no current chat')
throw new Error("No current chat found. Please run figuringOutCommands first.")
}
const {systemPrompt, modelId} = config.currentChat ?? {}
if (isVerbose) {
console.log(JSON.stringify({
level: "info",
message: "Continuing Conversation",
modelId,
systemPrompt,
userMessages
}))
}
const response = await client.messages.create({
max_tokens: 8192,
model: modelId,
system: systemPrompt,
messages: userMessages,
stream: stream
})
if (isVerbose) {
console.log(JSON.stringify({
level: "info",
message: "Response received from Anthropic API"
}))
}
if (stream) {
if (isVerbose) {
console.log(JSON.stringify({
level: "info",
message: "Streaming response"
}))
}
return convertStreamToStringStream(response as Stream<RawMessageStreamEvent>, isVerbose)
} else {
const message = response as Anthropic.Message
if (message.stop_reason === 'tool_use') {
if (isVerbose) {
console.log(JSON.stringify({
level: "info",
message: "Tool use detected in response"
}))
}
const toolContent = message.content.find(contentData => contentData.type === 'tool_use')
if (toolContent) {
const result = JSON.stringify(toolContent.input)
if (isVerbose) {
console.log(JSON.stringify({
level: "info",
message: "Tool use content",
content: result
}))
}
return result
} else {
if (isVerbose) {
console.log(JSON.stringify({
level: "info",
message: "No tool content found"
}))
}
return ""
}
}
const data = message.content.filter(content => content.type === 'text').map(content => content.text).join("\n")
if (isVerbose) {
console.log(JSON.stringify({
level: "info",
message: "Response data",
data
}))
}
return data
}
}
async function* convertStreamToStringStream(response: Stream<RawMessageStreamEvent>,
isVerbose: boolean): AsyncIterable<string> {
if (isVerbose) {
console.log(JSON.stringify({
level: "info",
message: "Starting to process stream"
}))
}
for await (const chunk of response) {
if (chunk.type === 'content_block_delta') {
if (chunk.delta.type === 'text_delta') {
if (isVerbose) {
console.log(JSON.stringify({
level: "info",
message: "Received chunk",
chunk: chunk.delta.text
}))
}
yield chunk.delta.text
}
}
yield ""
}
if (isVerbose) {
console.log(JSON.stringify({
level: "info",
message: "Finished processing stream"
}))
}
}