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feat(api): unify Bedrock provider using Runtime API

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Problem:
The current Bedrock implementation uses the Bedrock SDK, which requires separate handling for different model types and doesn't provide a unified streaming interface.

Solution:
Integrate the Bedrock Runtime API to provide a single, unified interface for all Bedrock models (Claude and Nova) using the ConverseStream API. This eliminates the need for separate handlers while maintaining all existing functionality.

Key Changes:
- Refactored AwsBedrockHandler to use @aws-sdk/client-bedrock-runtime
- Enhanced bedrock-converse-format.ts to handle all content types and properly transform between Anthropic and Bedrock formats
- Maintained cross-region inference support with proper region prefixing
- Added support for prompt caching configuration
- Improved AWS credentials handling to better support default providers
- Added proper error handling and token tracking for all response types

Dependencies:
- Added @aws-sdk/client-bedrock-runtime for unified API access
- Removed @anthropic-ai/bedrock-sdk dependency

Testing:
- Verified message format conversion for all content types
- Tested cross-region inference functionality
- Validated streaming responses for both Claude and Nova models

This change simplifies the codebase by providing a single, consistent interface for all Bedrock models while maintaining full compatibility with existing features.
This commit is contained in:
Cline
2024-12-10 18:33:50 +02:00
parent dffc040e7c
commit 140318cecd
5 changed files with 403 additions and 101 deletions
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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",
"@types/clone-deep": "^4.0.4",
"@types/pdf-parse": "^1.1.4",

1
package.json
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@@ -180,6 +180,7 @@
},
"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",

177
src/api/providers/bedrock.ts
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@@ -1,103 +1,143 @@
import AnthropicBedrock from "@anthropic-ai/bedrock-sdk"
import { BedrockRuntimeClient, ConverseStreamCommand } 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
private client: BedrockRuntimeClient
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,
})
// Only include credentials if they actually exist
const clientConfig: any = {
region: this.options.awsRegion || "us-east-1"
}
if (this.options.awsAccessKey && this.options.awsSecretKey) {
clientConfig.credentials = {
accessKeyId: this.options.awsAccessKey,
secretAccessKey: this.options.awsSecretKey
}
// Only add sessionToken if it exists
if (this.options.awsSessionToken) {
clientConfig.credentials.sessionToken = this.options.awsSessionToken
}
}
this.client = new BedrockRuntimeClient(clientConfig)
}
async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
// cross region inference requires prefixing the model id with the region
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.${this.getModel().id}`
modelId = `us.${modelConfig.id}`
break
case "eu-":
modelId = `eu.${this.getModel().id}`
modelId = `eu.${modelConfig.id}`
break
default:
// cross region inference is not supported in this region, falling back to default model
modelId = this.getModel().id
modelId = modelConfig.id
break
}
} else {
modelId = this.getModel().id
modelId = modelConfig.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
// 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 event of response.stream) {
// Type assertion for the event
const streamEvent = event as any
// Handle metadata events first
if (streamEvent.metadata?.usage) {
yield {
type: "usage",
inputTokens: usage.input_tokens || 0,
outputTokens: usage.output_tokens || 0,
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: any) {
console.error('Bedrock Runtime API Error:', error)
console.error('Error stack:', error.stack)
yield {
type: "text",
text: `Error: ${error.message}`
}
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
outputTokens: 0
}
throw error
}
}
@@ -107,6 +147,9 @@ export class AwsBedrockHandler implements ApiHandler {
const id = modelId as BedrockModelId
return { id, info: bedrockModels[id] }
}
return { id: bedrockDefaultModelId, info: bedrockModels[bedrockDefaultModelId] }
return {
id: bedrockDefaultModelId,
info: bedrockModels[bedrockDefaultModelId]
}
}
}

194
src/api/transform/bedrock-converse-format.ts Normal file
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@@ -0,0 +1,194 @@
import { Anthropic } from "@anthropic-ai/sdk"
import { MessageContent } from "../../shared/api"
import { ConversationRole, Message, ContentBlock } from "@aws-sdk/client-bedrock-runtime"
/**
* 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
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.toolUseId || '',
name: messageBlock.name || '',
input: `<${messageBlock.name}>\n${toolParams}\n</${messageBlock.name}>`
}
} as ContentBlock
}
if (messageBlock.type === "tool_result") {
// Convert tool result to text
if (messageBlock.output && typeof messageBlock.output === "string") {
return {
toolResult: {
toolUseId: messageBlock.toolUseId || '',
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.toolUseId || '',
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
}
return {
toolResult: {
toolUseId: messageBlock.toolUseId || '',
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: any,
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
if (streamEvent.contentBlockStart?.start?.text || streamEvent.contentBlockDelta?.delta?.text) {
const text = streamEvent.contentBlockStart?.start?.text || streamEvent.contentBlockDelta?.delta?.text
return {
type: "message",
role: "assistant",
content: [{ type: "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 {}
}

65
src/shared/api.ts
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@@ -16,11 +16,14 @@ export interface ApiHandlerOptions {
openRouterApiKey?: string
openRouterModelId?: string
openRouterModelInfo?: ModelInfo
openRouterUseMiddleOutTransform?: boolean
awsAccessKey?: string
awsSecretKey?: string
awsSessionToken?: string
awsRegion?: string
awsUseCrossRegionInference?: boolean
awsusePromptCache?: boolean
awspromptCacheId?: string
vertexProjectId?: string
vertexRegion?: string
openAiBaseUrl?: string
@@ -33,7 +36,7 @@ export interface ApiHandlerOptions {
geminiApiKey?: string
openAiNativeApiKey?: string
azureApiVersion?: string
openRouterUseMiddleOutTransform?: boolean
useBedrockRuntime?: boolean // Force use of Bedrock Runtime API instead of SDK
}
export type ApiConfiguration = ApiHandlerOptions & {
@@ -105,9 +108,63 @@ 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,
@@ -116,6 +173,9 @@ 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,
@@ -124,6 +184,9 @@ 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,