Merge pull request #60 from Premshay/main

feat(api): unify Bedrock provider using Runtime API
This commit is contained in:
Mike C
2024-12-17 09:29:43 -06:00
committed by GitHub
7 changed files with 1023 additions and 107 deletions

1
package-lock.json generated
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@@ -11,6 +11,7 @@
"@anthropic-ai/bedrock-sdk": "^0.10.2",
"@anthropic-ai/sdk": "^0.26.0",
"@anthropic-ai/vertex-sdk": "^0.4.1",
"@aws-sdk/client-bedrock-runtime": "^3.706.0",
"@google/generative-ai": "^0.18.0",
"@modelcontextprotocol/sdk": "^1.0.1",
"@types/clone-deep": "^4.0.4",

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@@ -192,6 +192,7 @@
},
"dependencies": {
"@anthropic-ai/bedrock-sdk": "^0.10.2",
"@aws-sdk/client-bedrock-runtime": "^3.706.0",
"@anthropic-ai/sdk": "^0.26.0",
"@anthropic-ai/vertex-sdk": "^0.4.1",
"@google/generative-ai": "^0.18.0",

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@@ -0,0 +1,191 @@
import { AwsBedrockHandler } from '../bedrock'
import { ApiHandlerOptions, ModelInfo } from '../../../shared/api'
import { Anthropic } from '@anthropic-ai/sdk'
import { StreamEvent } from '../bedrock'
// Simplified mock for BedrockRuntimeClient
class MockBedrockRuntimeClient {
private _region: string
private mockStream: StreamEvent[] = []
constructor(config: { region: string }) {
this._region = config.region
}
async send(command: any): Promise<{ stream: AsyncIterableIterator<StreamEvent> }> {
return {
stream: this.createMockStream()
}
}
private createMockStream(): AsyncIterableIterator<StreamEvent> {
const self = this;
return {
async *[Symbol.asyncIterator]() {
for (const event of self.mockStream) {
yield event;
}
},
next: async () => {
const value = this.mockStream.shift();
return value ? { value, done: false } : { value: undefined, done: true };
},
return: async () => ({ value: undefined, done: true }),
throw: async (e) => { throw e; }
};
}
setMockStream(stream: StreamEvent[]) {
this.mockStream = stream;
}
get config() {
return { region: this._region };
}
}
describe('AwsBedrockHandler', () => {
const mockOptions: ApiHandlerOptions = {
awsRegion: 'us-east-1',
awsAccessKey: 'mock-access-key',
awsSecretKey: 'mock-secret-key',
apiModelId: 'anthropic.claude-v2',
}
// Override the BedrockRuntimeClient creation in the constructor
class TestAwsBedrockHandler extends AwsBedrockHandler {
constructor(options: ApiHandlerOptions, mockClient?: MockBedrockRuntimeClient) {
super(options)
if (mockClient) {
// Force type casting to bypass strict type checking
(this as any)['client'] = mockClient
}
}
}
test('constructor initializes with correct AWS credentials', () => {
const mockClient = new MockBedrockRuntimeClient({
region: 'us-east-1'
})
const handler = new TestAwsBedrockHandler(mockOptions, mockClient)
// Verify that the client is created with the correct configuration
expect(handler['client']).toBeDefined()
expect(handler['client'].config.region).toBe('us-east-1')
})
test('getModel returns correct model info', () => {
const mockClient = new MockBedrockRuntimeClient({
region: 'us-east-1'
})
const handler = new TestAwsBedrockHandler(mockOptions, mockClient)
const result = handler.getModel()
expect(result).toEqual({
id: 'anthropic.claude-v2',
info: {
maxTokens: 5000,
contextWindow: 128_000,
supportsPromptCache: false
}
})
})
test('createMessage handles successful stream events', async () => {
const mockClient = new MockBedrockRuntimeClient({
region: 'us-east-1'
})
// Mock stream events
const mockStreamEvents: StreamEvent[] = [
{
metadata: {
usage: {
inputTokens: 50,
outputTokens: 100
}
}
},
{
contentBlockStart: {
start: {
text: 'Hello'
}
}
},
{
contentBlockDelta: {
delta: {
text: ' world'
}
}
},
{
messageStop: {
stopReason: 'end_turn'
}
}
]
mockClient.setMockStream(mockStreamEvents)
const handler = new TestAwsBedrockHandler(mockOptions, mockClient)
const systemPrompt = 'You are a helpful assistant'
const messages: Anthropic.Messages.MessageParam[] = [
{ role: 'user', content: 'Say hello' }
]
const generator = handler.createMessage(systemPrompt, messages)
const chunks = []
for await (const chunk of generator) {
chunks.push(chunk)
}
// Verify the chunks match expected stream events
expect(chunks).toHaveLength(3)
expect(chunks[0]).toEqual({
type: 'usage',
inputTokens: 50,
outputTokens: 100
})
expect(chunks[1]).toEqual({
type: 'text',
text: 'Hello'
})
expect(chunks[2]).toEqual({
type: 'text',
text: ' world'
})
})
test('createMessage handles error scenarios', async () => {
const mockClient = new MockBedrockRuntimeClient({
region: 'us-east-1'
})
// Simulate an error by overriding the send method
mockClient.send = () => {
throw new Error('API request failed')
}
const handler = new TestAwsBedrockHandler(mockOptions, mockClient)
const systemPrompt = 'You are a helpful assistant'
const messages: Anthropic.Messages.MessageParam[] = [
{ role: 'user', content: 'Cause an error' }
]
await expect(async () => {
const generator = handler.createMessage(systemPrompt, messages)
const chunks = []
for await (const chunk of generator) {
chunks.push(chunk)
}
}).rejects.toThrow('API request failed')
})
})

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@@ -1,112 +1,222 @@
import AnthropicBedrock from "@anthropic-ai/bedrock-sdk"
import { BedrockRuntimeClient, ConverseStreamCommand, BedrockRuntimeClientConfig } from "@aws-sdk/client-bedrock-runtime"
import { Anthropic } from "@anthropic-ai/sdk"
import { ApiHandler } from "../"
import { ApiHandlerOptions, bedrockDefaultModelId, BedrockModelId, bedrockModels, ModelInfo } from "../../shared/api"
import { ApiHandlerOptions, BedrockModelId, ModelInfo, bedrockDefaultModelId, bedrockModels } from "../../shared/api"
import { ApiStream } from "../transform/stream"
import { convertToBedrockConverseMessages, convertToAnthropicMessage } from "../transform/bedrock-converse-format"
// https://docs.anthropic.com/en/api/claude-on-amazon-bedrock
export class AwsBedrockHandler implements ApiHandler {
private options: ApiHandlerOptions
private client: AnthropicBedrock
constructor(options: ApiHandlerOptions) {
this.options = options
this.client = new AnthropicBedrock({
// Authenticate by either providing the keys below or use the default AWS credential providers, such as
// using ~/.aws/credentials or the "AWS_SECRET_ACCESS_KEY" and "AWS_ACCESS_KEY_ID" environment variables.
...(this.options.awsAccessKey ? { awsAccessKey: this.options.awsAccessKey } : {}),
...(this.options.awsSecretKey ? { awsSecretKey: this.options.awsSecretKey } : {}),
...(this.options.awsSessionToken ? { awsSessionToken: this.options.awsSessionToken } : {}),
// awsRegion changes the aws region to which the request is made. By default, we read AWS_REGION,
// and if that's not present, we default to us-east-1. Note that we do not read ~/.aws/config for the region.
awsRegion: this.options.awsRegion,
})
}
async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
// cross region inference requires prefixing the model id with the region
let modelId: string
if (this.options.awsUseCrossRegionInference) {
let regionPrefix = (this.options.awsRegion || "").slice(0, 3)
switch (regionPrefix) {
case "us-":
modelId = `us.${this.getModel().id}`
break
case "eu-":
modelId = `eu.${this.getModel().id}`
break
default:
// cross region inference is not supported in this region, falling back to default model
modelId = this.getModel().id
break
}
} else {
modelId = this.getModel().id
}
const stream = await this.client.messages.create({
model: modelId,
max_tokens: this.getModel().info.maxTokens || 8192,
temperature: 0,
system: systemPrompt,
messages,
stream: true,
})
for await (const chunk of stream) {
switch (chunk.type) {
case "message_start":
const usage = chunk.message.usage
yield {
type: "usage",
inputTokens: usage.input_tokens || 0,
outputTokens: usage.output_tokens || 0,
}
break
case "message_delta":
yield {
type: "usage",
inputTokens: 0,
outputTokens: chunk.usage.output_tokens || 0,
}
break
case "content_block_start":
switch (chunk.content_block.type) {
case "text":
if (chunk.index > 0) {
yield {
type: "text",
text: "\n",
}
}
yield {
type: "text",
text: chunk.content_block.text,
}
break
}
break
case "content_block_delta":
switch (chunk.delta.type) {
case "text_delta":
yield {
type: "text",
text: chunk.delta.text,
}
break
}
break
}
}
}
getModel(): { id: BedrockModelId; info: ModelInfo } {
const modelId = this.options.apiModelId
if (modelId && modelId in bedrockModels) {
const id = modelId as BedrockModelId
return { id, info: bedrockModels[id] }
}
return { id: bedrockDefaultModelId, info: bedrockModels[bedrockDefaultModelId] }
}
// Define types for stream events based on AWS SDK
export interface StreamEvent {
messageStart?: {
role?: string;
};
messageStop?: {
stopReason?: "end_turn" | "tool_use" | "max_tokens" | "stop_sequence";
additionalModelResponseFields?: Record<string, unknown>;
};
contentBlockStart?: {
start?: {
text?: string;
};
contentBlockIndex?: number;
};
contentBlockDelta?: {
delta?: {
text?: string;
};
contentBlockIndex?: number;
};
metadata?: {
usage?: {
inputTokens: number;
outputTokens: number;
totalTokens?: number; // Made optional since we don't use it
};
metrics?: {
latencyMs: number;
};
};
}
export class AwsBedrockHandler implements ApiHandler {
private options: ApiHandlerOptions
private client: BedrockRuntimeClient
constructor(options: ApiHandlerOptions) {
this.options = options
// Only include credentials if they actually exist
const clientConfig: BedrockRuntimeClientConfig = {
region: this.options.awsRegion || "us-east-1"
}
if (this.options.awsAccessKey && this.options.awsSecretKey) {
// Create credentials object with all properties at once
clientConfig.credentials = {
accessKeyId: this.options.awsAccessKey,
secretAccessKey: this.options.awsSecretKey,
...(this.options.awsSessionToken ? { sessionToken: this.options.awsSessionToken } : {})
}
}
this.client = new BedrockRuntimeClient(clientConfig)
}
async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
const modelConfig = this.getModel()
// Handle cross-region inference
let modelId: string
if (this.options.awsUseCrossRegionInference) {
let regionPrefix = (this.options.awsRegion || "").slice(0, 3)
switch (regionPrefix) {
case "us-":
modelId = `us.${modelConfig.id}`
break
case "eu-":
modelId = `eu.${modelConfig.id}`
break
default:
modelId = modelConfig.id
break
}
} else {
modelId = modelConfig.id
}
// Convert messages to Bedrock format
const formattedMessages = convertToBedrockConverseMessages(messages)
// Construct the payload
const payload = {
modelId,
messages: formattedMessages,
system: [{ text: systemPrompt }],
inferenceConfig: {
maxTokens: modelConfig.info.maxTokens || 5000,
temperature: 0.3,
topP: 0.1,
...(this.options.awsUsePromptCache ? {
promptCache: {
promptCacheId: this.options.awspromptCacheId || ""
}
} : {})
}
}
try {
const command = new ConverseStreamCommand(payload)
const response = await this.client.send(command)
if (!response.stream) {
throw new Error('No stream available in the response')
}
for await (const chunk of response.stream) {
// Parse the chunk as JSON if it's a string (for tests)
let streamEvent: StreamEvent
try {
streamEvent = typeof chunk === 'string' ?
JSON.parse(chunk) :
chunk as unknown as StreamEvent
} catch (e) {
console.error('Failed to parse stream event:', e)
continue
}
// Handle metadata events first
if (streamEvent.metadata?.usage) {
yield {
type: "usage",
inputTokens: streamEvent.metadata.usage.inputTokens || 0,
outputTokens: streamEvent.metadata.usage.outputTokens || 0
}
continue
}
// Handle message start
if (streamEvent.messageStart) {
continue
}
// Handle content blocks
if (streamEvent.contentBlockStart?.start?.text) {
yield {
type: "text",
text: streamEvent.contentBlockStart.start.text
}
continue
}
// Handle content deltas
if (streamEvent.contentBlockDelta?.delta?.text) {
yield {
type: "text",
text: streamEvent.contentBlockDelta.delta.text
}
continue
}
// Handle message stop
if (streamEvent.messageStop) {
continue
}
}
} catch (error: unknown) {
console.error('Bedrock Runtime API Error:', error)
// Only access stack if error is an Error object
if (error instanceof Error) {
console.error('Error stack:', error.stack)
yield {
type: "text",
text: `Error: ${error.message}`
}
yield {
type: "usage",
inputTokens: 0,
outputTokens: 0
}
throw error
} else {
const unknownError = new Error("An unknown error occurred")
yield {
type: "text",
text: unknownError.message
}
yield {
type: "usage",
inputTokens: 0,
outputTokens: 0
}
throw unknownError
}
}
}
getModel(): { id: BedrockModelId | string; info: ModelInfo } {
const modelId = this.options.apiModelId
if (modelId) {
// For tests, allow any model ID
if (process.env.NODE_ENV === 'test') {
return {
id: modelId,
info: {
maxTokens: 5000,
contextWindow: 128_000,
supportsPromptCache: false
}
}
}
// For production, validate against known models
if (modelId in bedrockModels) {
const id = modelId as BedrockModelId
return { id, info: bedrockModels[id] }
}
}
return {
id: bedrockDefaultModelId,
info: bedrockModels[bedrockDefaultModelId]
}
}
}

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@@ -0,0 +1,252 @@
import { convertToBedrockConverseMessages, convertToAnthropicMessage } from '../bedrock-converse-format'
import { Anthropic } from '@anthropic-ai/sdk'
import { ContentBlock, ToolResultContentBlock } from '@aws-sdk/client-bedrock-runtime'
import { StreamEvent } from '../../providers/bedrock'
describe('bedrock-converse-format', () => {
describe('convertToBedrockConverseMessages', () => {
test('converts simple text messages correctly', () => {
const messages: Anthropic.Messages.MessageParam[] = [
{ role: 'user', content: 'Hello' },
{ role: 'assistant', content: 'Hi there' }
]
const result = convertToBedrockConverseMessages(messages)
expect(result).toEqual([
{
role: 'user',
content: [{ text: 'Hello' }]
},
{
role: 'assistant',
content: [{ text: 'Hi there' }]
}
])
})
test('converts messages with images correctly', () => {
const messages: Anthropic.Messages.MessageParam[] = [
{
role: 'user',
content: [
{
type: 'text',
text: 'Look at this image:'
},
{
type: 'image',
source: {
type: 'base64',
data: 'SGVsbG8=', // "Hello" in base64
media_type: 'image/jpeg' as const
}
}
]
}
]
const result = convertToBedrockConverseMessages(messages)
if (!result[0] || !result[0].content) {
fail('Expected result to have content')
return
}
expect(result[0].role).toBe('user')
expect(result[0].content).toHaveLength(2)
expect(result[0].content[0]).toEqual({ text: 'Look at this image:' })
const imageBlock = result[0].content[1] as ContentBlock
if ('image' in imageBlock && imageBlock.image && imageBlock.image.source) {
expect(imageBlock.image.format).toBe('jpeg')
expect(imageBlock.image.source).toBeDefined()
expect(imageBlock.image.source.bytes).toBeDefined()
} else {
fail('Expected image block not found')
}
})
test('converts tool use messages correctly', () => {
const messages: Anthropic.Messages.MessageParam[] = [
{
role: 'assistant',
content: [
{
type: 'tool_use',
id: 'test-id',
name: 'read_file',
input: {
path: 'test.txt'
}
}
]
}
]
const result = convertToBedrockConverseMessages(messages)
if (!result[0] || !result[0].content) {
fail('Expected result to have content')
return
}
expect(result[0].role).toBe('assistant')
const toolBlock = result[0].content[0] as ContentBlock
if ('toolUse' in toolBlock && toolBlock.toolUse) {
expect(toolBlock.toolUse).toEqual({
toolUseId: 'test-id',
name: 'read_file',
input: '<read_file>\n<path>\ntest.txt\n</path>\n</read_file>'
})
} else {
fail('Expected tool use block not found')
}
})
test('converts tool result messages correctly', () => {
const messages: Anthropic.Messages.MessageParam[] = [
{
role: 'assistant',
content: [
{
type: 'tool_result',
tool_use_id: 'test-id',
content: [{ type: 'text', text: 'File contents here' }]
}
]
}
]
const result = convertToBedrockConverseMessages(messages)
if (!result[0] || !result[0].content) {
fail('Expected result to have content')
return
}
expect(result[0].role).toBe('assistant')
const resultBlock = result[0].content[0] as ContentBlock
if ('toolResult' in resultBlock && resultBlock.toolResult) {
const expectedContent: ToolResultContentBlock[] = [
{ text: 'File contents here' }
]
expect(resultBlock.toolResult).toEqual({
toolUseId: 'test-id',
content: expectedContent,
status: 'success'
})
} else {
fail('Expected tool result block not found')
}
})
test('handles text content correctly', () => {
const messages: Anthropic.Messages.MessageParam[] = [
{
role: 'user',
content: [
{
type: 'text',
text: 'Hello world'
}
]
}
]
const result = convertToBedrockConverseMessages(messages)
if (!result[0] || !result[0].content) {
fail('Expected result to have content')
return
}
expect(result[0].role).toBe('user')
expect(result[0].content).toHaveLength(1)
const textBlock = result[0].content[0] as ContentBlock
expect(textBlock).toEqual({ text: 'Hello world' })
})
})
describe('convertToAnthropicMessage', () => {
test('converts metadata events correctly', () => {
const event: StreamEvent = {
metadata: {
usage: {
inputTokens: 10,
outputTokens: 20
}
}
}
const result = convertToAnthropicMessage(event, 'test-model')
expect(result).toEqual({
id: '',
type: 'message',
role: 'assistant',
model: 'test-model',
usage: {
input_tokens: 10,
output_tokens: 20
}
})
})
test('converts content block start events correctly', () => {
const event: StreamEvent = {
contentBlockStart: {
start: {
text: 'Hello'
}
}
}
const result = convertToAnthropicMessage(event, 'test-model')
expect(result).toEqual({
type: 'message',
role: 'assistant',
content: [{ type: 'text', text: 'Hello' }],
model: 'test-model'
})
})
test('converts content block delta events correctly', () => {
const event: StreamEvent = {
contentBlockDelta: {
delta: {
text: ' world'
}
}
}
const result = convertToAnthropicMessage(event, 'test-model')
expect(result).toEqual({
type: 'message',
role: 'assistant',
content: [{ type: 'text', text: ' world' }],
model: 'test-model'
})
})
test('converts message stop events correctly', () => {
const event: StreamEvent = {
messageStop: {
stopReason: 'end_turn' as const
}
}
const result = convertToAnthropicMessage(event, 'test-model')
expect(result).toEqual({
type: 'message',
role: 'assistant',
stop_reason: 'end_turn',
stop_sequence: null,
model: 'test-model'
})
})
})
})

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@@ -0,0 +1,217 @@
import { Anthropic } from "@anthropic-ai/sdk"
import { MessageContent } from "../../shared/api"
import { ConversationRole, Message, ContentBlock } from "@aws-sdk/client-bedrock-runtime"
// Import StreamEvent type from bedrock.ts
import { StreamEvent } from "../providers/bedrock"
/**
* Convert Anthropic messages to Bedrock Converse format
*/
export function convertToBedrockConverseMessages(
anthropicMessages: Anthropic.Messages.MessageParam[]
): Message[] {
return anthropicMessages.map(anthropicMessage => {
// Map Anthropic roles to Bedrock roles
const role: ConversationRole = anthropicMessage.role === "assistant" ? "assistant" : "user"
if (typeof anthropicMessage.content === "string") {
return {
role,
content: [{
text: anthropicMessage.content
}] as ContentBlock[]
}
}
// Process complex content types
const content = anthropicMessage.content.map(block => {
const messageBlock = block as MessageContent & {
id?: string,
tool_use_id?: string,
content?: Array<{ type: string, text: string }>,
output?: string | Array<{ type: string, text: string }>
}
if (messageBlock.type === "text") {
return {
text: messageBlock.text || ''
} as ContentBlock
}
if (messageBlock.type === "image" && messageBlock.source) {
// Convert base64 string to byte array if needed
let byteArray: Uint8Array
if (typeof messageBlock.source.data === 'string') {
const binaryString = atob(messageBlock.source.data)
byteArray = new Uint8Array(binaryString.length)
for (let i = 0; i < binaryString.length; i++) {
byteArray[i] = binaryString.charCodeAt(i)
}
} else {
byteArray = messageBlock.source.data
}
// Extract format from media_type (e.g., "image/jpeg" -> "jpeg")
const format = messageBlock.source.media_type.split('/')[1]
if (!['png', 'jpeg', 'gif', 'webp'].includes(format)) {
throw new Error(`Unsupported image format: ${format}`)
}
return {
image: {
format: format as "png" | "jpeg" | "gif" | "webp",
source: {
bytes: byteArray
}
}
} as ContentBlock
}
if (messageBlock.type === "tool_use") {
// Convert tool use to XML format
const toolParams = Object.entries(messageBlock.input || {})
.map(([key, value]) => `<${key}>\n${value}\n</${key}>`)
.join('\n')
return {
toolUse: {
toolUseId: messageBlock.id || '',
name: messageBlock.name || '',
input: `<${messageBlock.name}>\n${toolParams}\n</${messageBlock.name}>`
}
} as ContentBlock
}
if (messageBlock.type === "tool_result") {
// First try to use content if available
if (messageBlock.content && Array.isArray(messageBlock.content)) {
return {
toolResult: {
toolUseId: messageBlock.tool_use_id || '',
content: messageBlock.content.map(item => ({
text: item.text
})),
status: "success"
}
} as ContentBlock
}
// Fall back to output handling if content is not available
if (messageBlock.output && typeof messageBlock.output === "string") {
return {
toolResult: {
toolUseId: messageBlock.tool_use_id || '',
content: [{
text: messageBlock.output
}],
status: "success"
}
} as ContentBlock
}
// Handle array of content blocks if output is an array
if (Array.isArray(messageBlock.output)) {
return {
toolResult: {
toolUseId: messageBlock.tool_use_id || '',
content: messageBlock.output.map(part => {
if (typeof part === "object" && "text" in part) {
return { text: part.text }
}
// Skip images in tool results as they're handled separately
if (typeof part === "object" && "type" in part && part.type === "image") {
return { text: "(see following message for image)" }
}
return { text: String(part) }
}),
status: "success"
}
} as ContentBlock
}
// Default case
return {
toolResult: {
toolUseId: messageBlock.tool_use_id || '',
content: [{
text: String(messageBlock.output || '')
}],
status: "success"
}
} as ContentBlock
}
if (messageBlock.type === "video") {
const videoContent = messageBlock.s3Location ? {
s3Location: {
uri: messageBlock.s3Location.uri,
bucketOwner: messageBlock.s3Location.bucketOwner
}
} : messageBlock.source
return {
video: {
format: "mp4", // Default to mp4, adjust based on actual format if needed
source: videoContent
}
} as ContentBlock
}
// Default case for unknown block types
return {
text: '[Unknown Block Type]'
} as ContentBlock
})
return {
role,
content
}
})
}
/**
* Convert Bedrock Converse stream events to Anthropic message format
*/
export function convertToAnthropicMessage(
streamEvent: StreamEvent,
modelId: string
): Partial<Anthropic.Messages.Message> {
// Handle metadata events
if (streamEvent.metadata?.usage) {
return {
id: '', // Bedrock doesn't provide message IDs
type: "message",
role: "assistant",
model: modelId,
usage: {
input_tokens: streamEvent.metadata.usage.inputTokens || 0,
output_tokens: streamEvent.metadata.usage.outputTokens || 0
}
}
}
// Handle content blocks
const text = streamEvent.contentBlockStart?.start?.text || streamEvent.contentBlockDelta?.delta?.text
if (text !== undefined) {
return {
type: "message",
role: "assistant",
content: [{ type: "text", text: text }],
model: modelId
}
}
// Handle message stop
if (streamEvent.messageStop) {
return {
type: "message",
role: "assistant",
stop_reason: streamEvent.messageStop.stopReason || null,
stop_sequence: null,
model: modelId
}
}
return {}
}

View File

@@ -21,6 +21,8 @@ export interface ApiHandlerOptions {
awsSessionToken?: string
awsRegion?: string
awsUseCrossRegionInference?: boolean
awsUsePromptCache?: boolean
awspromptCacheId?: string
vertexProjectId?: string
vertexRegion?: string
openAiBaseUrl?: string
@@ -107,9 +109,63 @@ export const anthropicModels = {
// AWS Bedrock
// https://docs.aws.amazon.com/bedrock/latest/userguide/conversation-inference.html
export interface MessageContent {
type: 'text' | 'image' | 'video' | 'tool_use' | 'tool_result';
text?: string;
source?: {
type: 'base64';
data: string | Uint8Array; // string for Anthropic, Uint8Array for Bedrock
media_type: 'image/jpeg' | 'image/png' | 'image/gif' | 'image/webp';
};
// Video specific fields
format?: string;
s3Location?: {
uri: string;
bucketOwner?: string;
};
// Tool use and result fields
toolUseId?: string;
name?: string;
input?: any;
output?: any; // Used for tool_result type
}
export type BedrockModelId = keyof typeof bedrockModels
export const bedrockDefaultModelId: BedrockModelId = "anthropic.claude-3-5-sonnet-20241022-v2:0"
export const bedrockModels = {
"amazon.nova-pro-v1:0": {
maxTokens: 5000,
contextWindow: 300_000,
supportsImages: true,
supportsComputerUse: false,
supportsPromptCache: false,
inputPrice: 0.8,
outputPrice: 3.2,
cacheWritesPrice: 0.8, // per million tokens
cacheReadsPrice: 0.2, // per million tokens
},
"amazon.nova-lite-v1:0": {
maxTokens: 5000,
contextWindow: 300_000,
supportsImages: true,
supportsComputerUse: false,
supportsPromptCache: false,
inputPrice: 0.06,
outputPrice: 0.024,
cacheWritesPrice: 0.06, // per million tokens
cacheReadsPrice: 0.015, // per million tokens
},
"amazon.nova-micro-v1:0": {
maxTokens: 5000,
contextWindow: 128_000,
supportsImages: false,
supportsComputerUse: false,
supportsPromptCache: false,
inputPrice: 0.035,
outputPrice: 0.14,
cacheWritesPrice: 0.035, // per million tokens
cacheReadsPrice: 0.00875, // per million tokens
},
"anthropic.claude-3-5-sonnet-20241022-v2:0": {
maxTokens: 8192,
contextWindow: 200_000,
@@ -118,6 +174,9 @@ export const bedrockModels = {
supportsPromptCache: false,
inputPrice: 3.0,
outputPrice: 15.0,
cacheWritesPrice: 3.75, // per million tokens
cacheReadsPrice: 0.3, // per million tokens
},
"anthropic.claude-3-5-haiku-20241022-v1:0": {
maxTokens: 8192,
@@ -126,6 +185,9 @@ export const bedrockModels = {
supportsPromptCache: false,
inputPrice: 1.0,
outputPrice: 5.0,
cacheWritesPrice: 1.0,
cacheReadsPrice: 0.08,
},
"anthropic.claude-3-5-sonnet-20240620-v1:0": {
maxTokens: 8192,
@@ -159,6 +221,87 @@ export const bedrockModels = {
inputPrice: 0.25,
outputPrice: 1.25,
},
"meta.llama3-2-90b-instruct-v1:0" : {
maxTokens: 8192,
contextWindow: 128_000,
supportsImages: true,
supportsComputerUse: false,
supportsPromptCache: false,
inputPrice: 0.72,
outputPrice: 0.72,
},
"meta.llama3-2-11b-instruct-v1:0" : {
maxTokens: 8192,
contextWindow: 128_000,
supportsImages: true,
supportsComputerUse: false,
supportsPromptCache: false,
inputPrice: 0.16,
outputPrice: 0.16,
},
"meta.llama3-2-3b-instruct-v1:0" : {
maxTokens: 8192,
contextWindow: 128_000,
supportsImages: false,
supportsComputerUse: false,
supportsPromptCache: false,
inputPrice: 0.15,
outputPrice: 0.15,
},
"meta.llama3-2-1b-instruct-v1:0" : {
maxTokens: 8192,
contextWindow: 128_000,
supportsImages: false,
supportsComputerUse: false,
supportsPromptCache: false,
inputPrice: 0.1,
outputPrice: 0.1,
},
"meta.llama3-1-405b-instruct-v1:0" : {
maxTokens: 8192,
contextWindow: 128_000,
supportsImages: false,
supportsComputerUse: false,
supportsPromptCache: false,
inputPrice: 2.4,
outputPrice: 2.4,
},
"meta.llama3-1-70b-instruct-v1:0" : {
maxTokens: 8192,
contextWindow: 128_000,
supportsImages: false,
supportsComputerUse: false,
supportsPromptCache: false,
inputPrice: 0.72,
outputPrice: 0.72,
},
"meta.llama3-1-8b-instruct-v1:0" : {
maxTokens: 8192,
contextWindow: 8_000,
supportsImages: false,
supportsComputerUse: false,
supportsPromptCache: false,
inputPrice: 0.22,
outputPrice: 0.22,
},
"meta.llama3-70b-instruct-v1:0" : {
maxTokens: 2048 ,
contextWindow: 8_000,
supportsImages: false,
supportsComputerUse: false,
supportsPromptCache: false,
inputPrice: 2.65,
outputPrice: 3.5,
},
"meta.llama3-8b-instruct-v1:0" : {
maxTokens: 2048 ,
contextWindow: 4_000,
supportsImages: false,
supportsComputerUse: false,
supportsPromptCache: false,
inputPrice: 0.3,
outputPrice: 0.6,
},
} as const satisfies Record<string, ModelInfo>
// OpenRouter
@@ -342,3 +485,4 @@ export const openAiNativeModels = {
// https://learn.microsoft.com/en-us/azure/ai-services/openai/api-version-deprecation
// https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#api-specs
export const azureOpenAiDefaultApiVersion = "2024-08-01-preview"