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feat(api): unify Bedrock provider using Runtime API
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.
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@@ -1,112 +1,155 @@
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import AnthropicBedrock from "@anthropic-ai/bedrock-sdk"
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import { BedrockRuntimeClient, ConverseStreamCommand } from "@aws-sdk/client-bedrock-runtime"
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import { Anthropic } from "@anthropic-ai/sdk"
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import { ApiHandler } from "../"
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import { ApiHandlerOptions, bedrockDefaultModelId, BedrockModelId, bedrockModels, ModelInfo } from "../../shared/api"
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import { ApiHandlerOptions, BedrockModelId, ModelInfo, bedrockDefaultModelId, bedrockModels } from "../../shared/api"
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import { ApiStream } from "../transform/stream"
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import { convertToBedrockConverseMessages, convertToAnthropicMessage } from "../transform/bedrock-converse-format"
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// https://docs.anthropic.com/en/api/claude-on-amazon-bedrock
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export class AwsBedrockHandler implements ApiHandler {
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private options: ApiHandlerOptions
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private client: AnthropicBedrock
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private options: ApiHandlerOptions
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private client: BedrockRuntimeClient
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constructor(options: ApiHandlerOptions) {
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this.options = options
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this.client = new AnthropicBedrock({
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// Authenticate by either providing the keys below or use the default AWS credential providers, such as
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// using ~/.aws/credentials or the "AWS_SECRET_ACCESS_KEY" and "AWS_ACCESS_KEY_ID" environment variables.
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...(this.options.awsAccessKey ? { awsAccessKey: this.options.awsAccessKey } : {}),
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...(this.options.awsSecretKey ? { awsSecretKey: this.options.awsSecretKey } : {}),
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...(this.options.awsSessionToken ? { awsSessionToken: this.options.awsSessionToken } : {}),
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constructor(options: ApiHandlerOptions) {
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this.options = options
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// Only include credentials if they actually exist
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const clientConfig: any = {
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region: this.options.awsRegion || "us-east-1"
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}
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// awsRegion changes the aws region to which the request is made. By default, we read AWS_REGION,
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// and if that's not present, we default to us-east-1. Note that we do not read ~/.aws/config for the region.
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awsRegion: this.options.awsRegion,
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})
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}
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if (this.options.awsAccessKey && this.options.awsSecretKey) {
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clientConfig.credentials = {
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accessKeyId: this.options.awsAccessKey,
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secretAccessKey: this.options.awsSecretKey
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}
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// Only add sessionToken if it exists
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if (this.options.awsSessionToken) {
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clientConfig.credentials.sessionToken = this.options.awsSessionToken
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}
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}
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async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
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// cross region inference requires prefixing the model id with the region
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let modelId: string
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if (this.options.awsUseCrossRegionInference) {
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let regionPrefix = (this.options.awsRegion || "").slice(0, 3)
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switch (regionPrefix) {
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case "us-":
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modelId = `us.${this.getModel().id}`
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break
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case "eu-":
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modelId = `eu.${this.getModel().id}`
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break
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default:
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// cross region inference is not supported in this region, falling back to default model
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modelId = this.getModel().id
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break
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}
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} else {
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modelId = this.getModel().id
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}
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this.client = new BedrockRuntimeClient(clientConfig)
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}
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const stream = await this.client.messages.create({
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model: modelId,
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max_tokens: this.getModel().info.maxTokens || 8192,
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temperature: 0,
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system: systemPrompt,
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messages,
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stream: true,
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})
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for await (const chunk of stream) {
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switch (chunk.type) {
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case "message_start":
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const usage = chunk.message.usage
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yield {
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type: "usage",
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inputTokens: usage.input_tokens || 0,
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outputTokens: usage.output_tokens || 0,
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}
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break
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case "message_delta":
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yield {
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type: "usage",
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inputTokens: 0,
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outputTokens: chunk.usage.output_tokens || 0,
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}
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break
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async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
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const modelConfig = this.getModel()
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// Handle cross-region inference
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let modelId: string
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if (this.options.awsUseCrossRegionInference) {
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let regionPrefix = (this.options.awsRegion || "").slice(0, 3)
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switch (regionPrefix) {
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case "us-":
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modelId = `us.${modelConfig.id}`
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break
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case "eu-":
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modelId = `eu.${modelConfig.id}`
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break
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default:
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modelId = modelConfig.id
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break
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}
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} else {
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modelId = modelConfig.id
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}
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case "content_block_start":
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switch (chunk.content_block.type) {
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case "text":
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if (chunk.index > 0) {
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yield {
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type: "text",
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text: "\n",
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}
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}
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yield {
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type: "text",
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text: chunk.content_block.text,
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}
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break
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}
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break
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case "content_block_delta":
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switch (chunk.delta.type) {
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case "text_delta":
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yield {
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type: "text",
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text: chunk.delta.text,
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}
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break
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}
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break
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}
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}
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}
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// Convert messages to Bedrock format
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const formattedMessages = convertToBedrockConverseMessages(messages)
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getModel(): { id: BedrockModelId; info: ModelInfo } {
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const modelId = this.options.apiModelId
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if (modelId && modelId in bedrockModels) {
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const id = modelId as BedrockModelId
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return { id, info: bedrockModels[id] }
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}
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return { id: bedrockDefaultModelId, info: bedrockModels[bedrockDefaultModelId] }
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}
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// Construct the payload
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const payload = {
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modelId,
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messages: formattedMessages,
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system: [{ text: systemPrompt }],
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inferenceConfig: {
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maxTokens: modelConfig.info.maxTokens || 5000,
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temperature: 0.3,
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topP: 0.1,
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...(this.options.awsusePromptCache ? {
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promptCache: {
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promptCacheId: this.options.awspromptCacheId || ""
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}
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} : {})
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}
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}
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try {
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const command = new ConverseStreamCommand(payload)
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const response = await this.client.send(command)
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if (!response.stream) {
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throw new Error('No stream available in the response')
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}
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for await (const event of response.stream) {
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// Type assertion for the event
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const streamEvent = event as any
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// Handle metadata events first
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if (streamEvent.metadata?.usage) {
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yield {
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type: "usage",
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inputTokens: streamEvent.metadata.usage.inputTokens || 0,
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outputTokens: streamEvent.metadata.usage.outputTokens || 0
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}
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continue
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}
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// Handle message start
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if (streamEvent.messageStart) {
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continue
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}
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// Handle content blocks
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if (streamEvent.contentBlockStart?.start?.text) {
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yield {
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type: "text",
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text: streamEvent.contentBlockStart.start.text
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}
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continue
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}
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// Handle content deltas
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if (streamEvent.contentBlockDelta?.delta?.text) {
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yield {
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type: "text",
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text: streamEvent.contentBlockDelta.delta.text
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}
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continue
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}
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// Handle message stop
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if (streamEvent.messageStop) {
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continue
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}
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}
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} catch (error: any) {
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console.error('Bedrock Runtime API Error:', error)
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console.error('Error stack:', error.stack)
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yield {
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type: "text",
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text: `Error: ${error.message}`
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}
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yield {
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type: "usage",
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inputTokens: 0,
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outputTokens: 0
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}
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throw error
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}
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}
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getModel(): { id: BedrockModelId; info: ModelInfo } {
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const modelId = this.options.apiModelId
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if (modelId && modelId in bedrockModels) {
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const id = modelId as BedrockModelId
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return { id, info: bedrockModels[id] }
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}
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return {
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id: bedrockDefaultModelId,
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info: bedrockModels[bedrockDefaultModelId]
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}
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}
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}
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