docs: update TypeScript SDK model provider class names and import paths

Update documentation to reflect SDK model provider reorganization:
- BedrockModel -> BedrockConverseModel
- OpenAIModel -> OpenAIChatModel
- GeminiModel -> GoogleGenAIModel
- Import paths: @strands-agents/sdk/<name> -> @strands-agents/sdk/models/<name>
- gemini subpath -> google subpath
- Update all TypeScript code snippets, examples, API links, and tests

Author: pgrayy

SITE-ARCHITECTURE.md

@@ -510,7 +510,7 @@ Namespaces
   └── telemetry
 Classes
   ├── Agent
-  ├── BedrockModel
+  ├── BedrockConverseModel
   └── Tool
 Interfaces
   ├── AgentConfig

docs/examples/typescript/deploy_to_bedrock_agentcore/README.md

@@ -215,7 +215,7 @@ const myCustomTool = strands.tool({
 })
 
 const agent = new strands.Agent({
-  model: new strands.BedrockModel({
+  model: new strands.BedrockConverseModel({
     region: 'ap-southeast-2',
   }),
   tools: [calculatorTool, myCustomTool], // Add your tool here

docs/examples/typescript/deploy_to_bedrock_agentcore/index.ts

@@ -29,7 +29,7 @@ const calculatorTool = strands.tool({
 
 // Configure the agent with Amazon Bedrock
 const agent = new strands.Agent({
-  model: new strands.BedrockModel({
+  model: new strands.BedrockConverseModel({
     region: 'ap-southeast-2', // Change to your preferred region
   }),
   tools: [calculatorTool],

src/content/docs/user-guide/concepts/model-providers/amazon-bedrock.mdx

@@ -188,7 +188,7 @@ response = agent("Tell me about Amazon Bedrock.")
 </Tab>
 <Tab label="TypeScript">
 
-The [`BedrockModel`](@api/typescript/BedrockModel) provider is used by default when creating a basic Agent, and uses the [Claude Sonnet 4.5](https://aws.amazon.com/blogs/aws/introducing-claude-sonnet-4-5-in-amazon-bedrock-anthropics-most-intelligent-model-best-for-coding-and-complex-agents/) model by default. This basic example creates an agent using this default setup:
+The [`BedrockConverseModel`](@api/typescript/BedrockConverseModel) provider is used by default when creating a basic Agent, and uses the [Claude Sonnet 4.5](https://aws.amazon.com/blogs/aws/introducing-claude-sonnet-4-5-in-amazon-bedrock-anthropics-most-intelligent-model-best-for-coding-and-complex-agents/) model by default. This basic example creates an agent using this default setup:
 
 ```typescript
 --8<-- "user-guide/concepts/model-providers/amazon-bedrock_imports.ts:basic_default_imports"
@@ -235,7 +235,7 @@ response = agent("Tell me about Amazon Bedrock.")
 </Tab>
 <Tab label="TypeScript">
 
-For more control over model configuration, you can create an instance of the [`BedrockModel`](@api/typescript/BedrockModel) class:
+For more control over model configuration, you can create an instance of the [`BedrockConverseModel`](@api/typescript/BedrockConverseModel) class:
 
 ```typescript
 --8<-- "user-guide/concepts/model-providers/amazon-bedrock.ts:basic_model_instance"
@@ -265,7 +265,7 @@ Common configuration parameters include:
 </Tab>
 <Tab label="TypeScript">
 
-The [`BedrockModel`](@api/typescript/BedrockModelOptions) supports various configuration parameters. For a complete list of available options, see the [BedrockModelOptions API reference](@api/typescript/BedrockModelOptions).
+The [`BedrockConverseModel`](@api/typescript/BedrockConverseModelOptions) supports various configuration parameters. For a complete list of available options, see the [BedrockConverseModelOptions API reference](@api/typescript/BedrockConverseModelOptions).
 
 Common configuration parameters include:
 
@@ -485,7 +485,7 @@ guardrail_agent = Agent(model=bedrock_model)
 response = guardrail_agent("Can you tell me about the Strands SDK?")
 ```
 
-Amazon Bedrock supports guardrails to help ensure model outputs meet your requirements. Strands allows you to configure guardrails with your [`BedrockModel`](@api/typescript/BedrockModel).
+Amazon Bedrock supports guardrails to help ensure model outputs meet your requirements. Strands allows you to configure guardrails with your [`BedrockConverseModel`](@api/typescript/BedrockConverseModel).
 
 When a guardrail is triggered:
 
@@ -499,7 +499,7 @@ When `guardrail_latest_message=True`, only the most recent user message is sent
 </Tab>
 <Tab label="TypeScript">
 
-Amazon Bedrock supports guardrails to help ensure model outputs meet your requirements. Strands allows you to configure guardrails with your [`BedrockModel`](@api/typescript/BedrockModel):
+Amazon Bedrock supports guardrails to help ensure model outputs meet your requirements. Strands allows you to configure guardrails with your [`BedrockConverseModel`](@api/typescript/BedrockConverseModel):
 
 ```typescript
 --8<-- "user-guide/concepts/model-providers/amazon-bedrock.ts:guardrails"
@@ -853,7 +853,7 @@ response = agent("If a train travels at 120 km/h and needs to cover 450 km, how
 </Tab>
 <Tab label="TypeScript">
 
-Strands allows you to enable and configure reasoning capabilities with your [`BedrockModel`](@api/typescript/BedrockModel):
+Strands allows you to enable and configure reasoning capabilities with your [`BedrockConverseModel`](@api/typescript/BedrockConverseModel):
 
 ```typescript
 --8<-- "user-guide/concepts/model-providers/amazon-bedrock.ts:reasoning"

src/content/docs/user-guide/concepts/model-providers/amazon-bedrock.ts

@@ -1,11 +1,11 @@
 /**
  * TypeScript examples for Amazon Bedrock model provider documentation.
- * These examples demonstrate common usage patterns for the BedrockModel.
+ * These examples demonstrate common usage patterns for the BedrockConverseModel.
  */
 // @ts-nocheck
 // Imports are in amazon-bedrock_imports.ts
 
-import { Agent, BedrockModel, DocumentBlock, CachePointBlock, Message } from '@strands-agents/sdk'
+import { Agent, BedrockConverseModel, DocumentBlock, CachePointBlock, Message } from '@strands-agents/sdk'
 
 // Basic usage examples
 async function basicUsageDefault() {
@@ -28,13 +28,13 @@ async function basicUsageModelId() {
 async function basicUsageModelInstance() {
   // --8<-- [start:basic_model_instance]
   // Create a Bedrock model instance
-  const bedrockModel = new BedrockModel({
+  const bedrockModel = new BedrockConverseModel({
     modelId: 'us.amazon.nova-premier-v1:0',
     temperature: 0.3,
     topP: 0.8,
   })
 
-  // Create an agent using the BedrockModel instance
+  // Create an agent using the BedrockConverseModel instance
   const agent = new Agent({ model: bedrockModel })
 
   // Use the agent
@@ -46,7 +46,7 @@ async function basicUsageModelInstance() {
 async function configurationExample() {
   // --8<-- [start:configuration]
   // Create a configured Bedrock model
-  const bedrockModel = new BedrockModel({
+  const bedrockModel = new BedrockConverseModel({
     modelId: 'anthropic.claude-sonnet-4-20250514-v1:0',
     region: 'us-east-1', // Specify a different region than the default
     temperature: 0.3,
@@ -70,13 +70,13 @@ async function configurationExample() {
 async function streamingExample() {
   // --8<-- [start:streaming]
   // Streaming model (default)
-  const streamingModel = new BedrockModel({
+  const streamingModel = new BedrockConverseModel({
     modelId: 'anthropic.claude-sonnet-4-20250514-v1:0',
     stream: true, // This is the default
   })
 
   // Non-streaming model
-  const nonStreamingModel = new BedrockModel({
+  const nonStreamingModel = new BedrockConverseModel({
     modelId: 'us.meta.llama3-2-90b-instruct-v1:0',
     stream: false, // Disable streaming
   })
@@ -87,7 +87,7 @@ async function streamingExample() {
 async function updateConfiguration() {
   // --8<-- [start:update_config]
   // Create the model with initial configuration
-  const bedrockModel = new BedrockModel({
+  const bedrockModel = new BedrockConverseModel({
     modelId: 'anthropic.claude-sonnet-4-20250514-v1:0',
     temperature: 0.7,
   })
@@ -120,7 +120,7 @@ async function toolBasedConfigUpdate() {
   })
 
   const agent = new Agent({
-    model: new BedrockModel({ modelId: 'anthropic.claude-sonnet-4-20250514-v1:0' }),
+    model: new BedrockConverseModel({ modelId: 'anthropic.claude-sonnet-4-20250514-v1:0' }),
     tools: [updateTemperature],
   })
   // --8<-- [end:tool_update_config]
@@ -130,7 +130,7 @@ async function toolBasedConfigUpdate() {
 async function reasoningSupport() {
   // --8<-- [start:reasoning]
   // Create a Bedrock model with reasoning configuration
-  const bedrockModel = new BedrockModel({
+  const bedrockModel = new BedrockConverseModel({
     modelId: 'anthropic.claude-sonnet-4-20250514-v1:0',
     additionalRequestFields: {
       thinking: {
@@ -157,7 +157,7 @@ async function customCredentials() {
   // See AWS SDK for JavaScript documentation for all credential options:
   // https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/setting-credentials-node.html
 
-  const bedrockModel = new BedrockModel({
+  const bedrockModel = new BedrockConverseModel({
     modelId: 'anthropic.claude-sonnet-4-20250514-v1:0',
     region: 'us-west-2',
     clientConfig: {
@@ -174,7 +174,7 @@ async function customCredentials() {
 // Multimodal support
 async function multimodalSupport() {
   // --8<-- [start:multimodal_full]
-  const bedrockModel = new BedrockModel({
+  const bedrockModel = new BedrockConverseModel({
     modelId: 'anthropic.claude-sonnet-4-20250514-v1:0',
   })
 
@@ -197,7 +197,7 @@ async function multimodalSupport() {
 // S3 location support for multimodal content
 async function s3LocationSupport() {
   // --8<-- [start:s3_location]
-  const agent = new Agent({ model: new BedrockModel() })
+  const agent = new Agent({ model: new BedrockConverseModel() })
 
   const response = await agent.invoke([
     new DocumentBlock({
@@ -256,7 +256,7 @@ async function systemPromptCachingFull() {
 // Tool caching
 async function toolCachingFull() {
   // --8<-- [start:tool_caching_full]
-  const bedrockModel = new BedrockModel({
+  const bedrockModel = new BedrockConverseModel({
     modelId: 'anthropic.claude-sonnet-4-20250514-v1:0',
     cacheConfig: { strategy: 'auto' },
   })
@@ -294,7 +294,7 @@ async function toolCachingFull() {
 // Automatic cache strategy for messages
 async function automaticCacheStrategy() {
   // --8<-- [start:automatic_cache_strategy]
-  const bedrockModel = new BedrockModel({
+  const bedrockModel = new BedrockConverseModel({
     modelId: 'us.anthropic.claude-sonnet-4-5-20250929-v1:0',
     cacheConfig: { strategy: 'auto' },
   })
@@ -395,8 +395,8 @@ async function cacheMetrics() {
 // Guardrails configuration
 async function guardrailsExample() {
   // --8<-- [start:guardrails]
-  // Using guardrails with BedrockModel
-  const bedrockModel = new BedrockModel({
+  // Using guardrails with BedrockConverseModel
+  const bedrockModel = new BedrockConverseModel({
     modelId: 'anthropic.claude-sonnet-4-20250514-v1:0',
     guardrailConfig: {
       guardrailIdentifier: 'your-guardrail-id',

src/content/docs/user-guide/concepts/model-providers/amazon-bedrock_imports.ts

@@ -10,5 +10,5 @@ import { z } from 'zod'
 // --8<-- [end:tool_update_config_imports]
 
 // --8<-- [start:custom_credentials_imports]
-import { BedrockModel } from '@strands-agents/sdk/bedrock'
+import { BedrockConverseModel } from '@strands-agents/sdk/models/bedrock'
 // --8<-- [end:custom_credentials_imports]

src/content/docs/user-guide/concepts/model-providers/custom_model_provider.ts

@@ -3,7 +3,7 @@
  * These examples demonstrate how to implement a custom model provider.
  */
 
-import { Agent, BedrockModel, type BedrockModelConfig } from '@strands-agents/sdk'
+import { Agent, BedrockConverseModel, type BedrockConverseModelConfig } from '@strands-agents/sdk'
 import type {
   Model,
   BaseModelConfig,
@@ -16,9 +16,9 @@ import type {
   ModelMessageStopEventData,
 } from '@strands-agents/sdk'
 
-// Example wrapper around BedrockModel for demonstration
-class YourCustomModel extends BedrockModel {
-  constructor(config: BedrockModelConfig = {
+// Example wrapper around BedrockConverseModel for demonstration
+class YourCustomModel extends BedrockConverseModel {
+  constructor(config: BedrockConverseModelConfig = {
   modelId: 'anthropic.claude-3-5-sonnet-20241022-v2:0'
 }) {
     super(config)

src/content/docs/user-guide/concepts/model-providers/gemini.mdx

@@ -62,9 +62,9 @@ print(response)
 
 ```typescript
 import { Agent } from '@strands-agents/sdk'
-import { GeminiModel } from '@strands-agents/sdk/gemini'
+import { GoogleGenAIModel } from '@strands-agents/sdk/models/google'
 
-const model = new GeminiModel({
+const model = new GoogleGenAIModel({
   apiKey: '<KEY>',
   modelId: 'gemini-2.5-flash',
   params: {
@@ -333,11 +333,11 @@ print(response)
 ```typescript
 import { GoogleGenAI } from '@google/genai'
 import { Agent } from '@strands-agents/sdk'
-import { GeminiModel } from '@strands-agents/sdk/gemini'
+import { GoogleGenAIModel } from '@strands-agents/sdk/models/google'
 
 const client = new GoogleGenAI({ apiKey: '<KEY>' })
 
-const model = new GeminiModel({
+const model = new GoogleGenAIModel({
   client,
   modelId: 'gemini-2.5-flash',
   params: {
@@ -396,9 +396,9 @@ response = agent([
 
 ```typescript
 import { Agent, ImageBlock, TextBlock } from '@strands-agents/sdk'
-import { GeminiModel } from '@strands-agents/sdk/gemini'
+import { GoogleGenAIModel } from '@strands-agents/sdk/models/google'
 
-const model = new GeminiModel({
+const model = new GoogleGenAIModel({
   apiKey: '<KEY>',
   modelId: 'gemini-2.5-flash',
 })

src/content/docs/user-guide/concepts/model-providers/index.ts

@@ -6,20 +6,20 @@
 // Imports are in index_imports.ts
 
 import { Agent } from '@strands-agents/sdk'
-import { BedrockModel } from '@strands-agents/sdk/models/bedrock'
-import { OpenAIModel } from '@strands-agents/sdk/models/openai'
+import { BedrockConverseModel } from '@strands-agents/sdk/models/bedrock'
+import { OpenAIChatModel } from '@strands-agents/sdk/models/openai'
 
 async function basicUsage() {
   // --8<-- [start:basic_usage]
   // Use Bedrock
-  const bedrockModel = new BedrockModel({
+  const bedrockModel = new BedrockConverseModel({
     modelId: 'anthropic.claude-sonnet-4-20250514-v1:0',
   })
   let agent = new Agent({ model: bedrockModel })
   let response = await agent.invoke('What can you help me with?')
 
   // Alternatively, use OpenAI by just switching model provider
-  const openaiModel = new OpenAIModel({
+  const openaiModel = new OpenAIChatModel({
     apiKey: process.env.OPENAI_API_KEY,
     modelId: 'gpt-4o',
   })

src/content/docs/user-guide/concepts/model-providers/index_imports.ts

@@ -2,6 +2,6 @@
 
 // --8<-- [start:basic_usage_imports]
 import { Agent } from '@strands-agents/sdk'
-import { BedrockModel } from '@strands-agents/sdk/bedrock'
-import { OpenAIModel } from '@strands-agents/sdk/openai'
+import { BedrockConverseModel } from '@strands-agents/sdk/models/bedrock'
+import { OpenAIChatModel } from '@strands-agents/sdk/models/openai'
 // --8<-- [end:basic_usage_imports]