Bedrock Runtime: Remove explicit references to Llama 3

.doc_gen/metadata/bedrock-runtime_metadata.yaml

@@ -1001,9 +1001,9 @@ bedrock-runtime_InvokeModel_CohereCommandR:
     bedrock-runtime: {InvokeModel}
 
 bedrock-runtime_InvokeModel_MetaLlama3:
-  title: Invoke Meta Llama 3 on &BR; using the Invoke Model API
-  title_abbrev: "InvokeModel: Llama 3"
-  synopsis: send a text message to Meta Llama 3, using the Invoke Model API.
+  title: Invoke Meta Llama on &BR; using the Invoke Model API
+  title_abbrev: "InvokeModel"
+  synopsis: send a text message to Meta Llama, using the Invoke Model API.
   category: Meta Llama
   languages:
     Java:
@@ -1233,9 +1233,9 @@ bedrock-runtime_InvokeModelWithResponseStream_CohereCommandR:
     bedrock-runtime: {InvokeModel}
 
 bedrock-runtime_InvokeModelWithResponseStream_MetaLlama3:
-  title: Invoke Meta Llama 3 on &BR; using the Invoke Model API with a response stream
-  title_abbrev: "InvokeModelWithResponseStream: Llama 3"
-  synopsis: send a text message to Meta Llama 3, using the Invoke Model API, and print the response stream.
+  title: Invoke Meta Llama on &BR; using the Invoke Model API with a response stream
+  title_abbrev: "InvokeModelWithResponseStream"
+  synopsis: send a text message to Meta Llama, using the Invoke Model API, and print the response stream.
   category: Meta Llama
   languages:
     Java:

.gitignore

@@ -37,3 +37,4 @@ kotlin/services/**/gradle/
 kotlin/services/**/gradlew
 kotlin/services/**/gradlew.bat
 kotlin/services/**/.kotlin/
+/.local/

dotnetv3/Bedrock-runtime/README.md

@@ -77,8 +77,8 @@ functions within the same service.
 
 - [Converse](Models/MetaLlama/Converse/Converse.cs#L4)
 - [ConverseStream](Models/MetaLlama/ConverseStream/ConverseStream.cs#L4)
-- [InvokeModel: Llama 3](Models/MetaLlama/Llama3_InvokeModel/InvokeModel.cs#L4)
-- [InvokeModelWithResponseStream: Llama 3](Models/MetaLlama/Llama3_InvokeModelWithResponseStream/InvokeModelWithResponseStream.cs#L4)
+- [InvokeModel](Models/MetaLlama/Llama3_InvokeModel/InvokeModel.cs#L4)
+- [InvokeModelWithResponseStream](Models/MetaLlama/Llama3_InvokeModelWithResponseStream/InvokeModelWithResponseStream.cs#L4)
 
 ### Mistral AI
 

javascriptv3/example_code/bedrock-runtime/README.md

@@ -46,11 +46,6 @@ functions within the same service.
 - [Invoke multiple foundation models on Amazon Bedrock](scenarios/cli_text_playground.js)
 - [Tool use with the Converse API](scenarios/converse_tool_scenario/converse-tool-scenario.js)
 
-### AI21 Labs Jurassic-2
-
-- [Converse](models/ai21LabsJurassic2/converse.js#L4)
-- [InvokeModel](models/ai21LabsJurassic2/invoke_model.js)
-
 ### Amazon Nova
 
 - [Converse](models/amazonNovaText/converse.js#L4)
@@ -83,8 +78,8 @@ functions within the same service.
 
 - [Converse](models/metaLlama/converse.js#L4)
 - [ConverseStream](models/metaLlama/converseStream.js#L4)
-- [InvokeModel: Llama 3](models/metaLlama/llama3/invoke_model_quickstart.js#L4)
-- [InvokeModelWithResponseStream: Llama 3](models/metaLlama/llama3/invoke_model_with_response_stream_quickstart.js#L4)
+- [InvokeModel](models/metaLlama/llama3/invoke_model_quickstart.js#L4)
+- [InvokeModelWithResponseStream](models/metaLlama/llama3/invoke_model_with_response_stream_quickstart.js#L4)
 
 ### Mistral AI
 

javav2/example_code/bedrock-runtime/README.md

@@ -34,6 +34,15 @@ For prerequisites, see the [README](../../README.md#Prerequisites) in the `javav
 > see [Model access](https://docs.aws.amazon.com/bedrock/latest/userguide/model-access.html).
 >
 <!--custom.prerequisites.end-->
+
+### Scenarios
+
+Code examples that show you how to accomplish a specific task by calling multiple
+functions within the same service.
+
+- [Generate videos from text prompts using Amazon Bedrock](../../usecases/video_generation_bedrock_nova_reel/src/main/java/com/example/novareel/VideoGenerationService.java)
+- [Tool use with the Converse API](src/main/java/com/example/bedrockruntime/scenario/BedrockScenario.java)
+
 ### AI21 Labs Jurassic-2
 
 - [Converse](src/main/java/com/example/bedrockruntime/models/ai21LabsJurassic2/Converse.java#L6)
@@ -43,6 +52,7 @@ For prerequisites, see the [README](../../README.md#Prerequisites) in the `javav
 
 - [Converse](src/main/java/com/example/bedrockruntime/models/amazon/nova/text/ConverseAsync.java#L6)
 - [ConverseStream](src/main/java/com/example/bedrockruntime/models/amazon/nova/text/ConverseStream.java#L6)
+- [Scenario: Tool use with the Converse API](src/main/java/com/example/bedrockruntime/scenario/BedrockScenario.java#L15)
 
 ### Amazon Nova Canvas
 
@@ -85,8 +95,8 @@ For prerequisites, see the [README](../../README.md#Prerequisites) in the `javav
 
 - [Converse](src/main/java/com/example/bedrockruntime/models/metaLlama/Converse.java#L6)
 - [ConverseStream](src/main/java/com/example/bedrockruntime/models/metaLlama/ConverseStream.java#L6)
-- [InvokeModel: Llama 3](src/main/java/com/example/bedrockruntime/models/metaLlama/Llama3_InvokeModel.java#L6)
-- [InvokeModelWithResponseStream: Llama 3](src/main/java/com/example/bedrockruntime/models/metaLlama/Llama3_InvokeModelWithResponseStream.java#L6)
+- [InvokeModel](src/main/java/com/example/bedrockruntime/models/metaLlama/Llama3_InvokeModel.java#L6)
+- [InvokeModelWithResponseStream](src/main/java/com/example/bedrockruntime/models/metaLlama/Llama3_InvokeModelWithResponseStream.java#L6)
 
 ### Mistral AI
 
@@ -111,7 +121,32 @@ For prerequisites, see the [README](../../README.md#Prerequisites) in the `javav
 <!--custom.instructions.start-->
 <!--custom.instructions.end-->
 
+#### Generate videos from text prompts using Amazon Bedrock
+
+This example shows you how to a Spring Boot app that generates videos from text prompts using Amazon Bedrock and the
+Nova-Reel model.
+
+
+<!--custom.scenario_prereqs.bedrock-runtime_Scenario_GenerateVideos_NovaReel.start-->
+<!--custom.scenario_prereqs.bedrock-runtime_Scenario_GenerateVideos_NovaReel.end-->
+
+
+<!--custom.scenarios.bedrock-runtime_Scenario_GenerateVideos_NovaReel.start-->
+<!--custom.scenarios.bedrock-runtime_Scenario_GenerateVideos_NovaReel.end-->
+
+#### Tool use with the Converse API
+
+This example shows you how to build a typical interaction between an application, a generative AI model, and connected
+tools or APIs to mediate interactions between the AI and the outside world. It uses the example of connecting an
+external weather API to the AI model so it can provide real-time weather information based on user input.
+
+
+<!--custom.scenario_prereqs.bedrock-runtime_Scenario_ToolUse.start-->
+<!--custom.scenario_prereqs.bedrock-runtime_Scenario_ToolUse.end-->
+
 
+<!--custom.scenarios.bedrock-runtime_Scenario_ToolUse.start-->
+<!--custom.scenarios.bedrock-runtime_Scenario_ToolUse.end-->
 
 ### Tests
 

kotlin/services/bedrock-runtime/README.md

@@ -35,10 +35,6 @@ For prerequisites, see the [README](../../README.md#Prerequisites) in the `kotli
 - [Converse](src/main/kotlin/com/example/bedrockruntime/models/amazon/nova/text/Converse.kt#L6)
 - [ConverseStream](src/main/kotlin/com/example/bedrockruntime/models/amazon/nova/text/ConverseStream.kt#L6)
 
-### Amazon Nova Canvas
-
-- [InvokeModel](src/main/kotlin/com/example/bedrockruntime/models/amazon/nova/canvas/InvokeModel.kt#L6)
-
 ### Amazon Titan Text
 
 - [InvokeModel](src/main/kotlin/com/example/bedrockruntime/models/amazon/titan/text/InvokeModel.kt#L6)

python/example_code/bedrock-runtime/README.md

@@ -48,6 +48,7 @@ python -m pip install -r requirements.txt
 Code examples that show you how to accomplish a specific task by calling multiple
 functions within the same service.
 
+- [Create and invoke a managed prompt](../bedrock-agent/prompts/scenario_get_started_with_prompts.py)
 - [Tool use with the Converse API](cross-model-scenarios/tool_use_demo/tool_use_demo.py)
 
 ### AI21 Labs Jurassic-2
@@ -105,8 +106,8 @@ functions within the same service.
 
 - [Converse](models/meta_llama/converse.py#L4)
 - [ConverseStream](models/meta_llama/converse_stream.py#L4)
-- [InvokeModel: Llama 3](models/meta_llama/llama3_invoke_model.py#L4)
-- [InvokeModelWithResponseStream: Llama 3](models/meta_llama/llama3_invoke_model_with_response_stream.py#L4)
+- [InvokeModel](models/meta_llama/llama3_invoke_model.py#L4)
+- [InvokeModelWithResponseStream](models/meta_llama/llama3_invoke_model_with_response_stream.py#L4)
 
 ### Mistral AI
 
@@ -153,6 +154,26 @@ This example shows you how to get started using Amazon Bedrock Runtime.
 python hello/hello_bedrock_runtime_invoke.py
 ```
 
+#### Create and invoke a managed prompt
+
+This example shows you how to do the following:
+
+- Create a managed prompt.
+- Create a version of the prompt.
+- Invoke the prompt using the version.
+- Clean up resources (optional).
+
+<!--custom.scenario_prereqs.bedrock-agent_GettingStartedWithBedrockPrompts.start-->
+<!--custom.scenario_prereqs.bedrock-agent_GettingStartedWithBedrockPrompts.end-->
+
+Start the example by running the following at a command prompt:
+
+```
+python ../bedrock-agent/prompts/scenario_get_started_with_prompts.py
+```
+
+<!--custom.scenarios.bedrock-agent_GettingStartedWithBedrockPrompts.start-->
+<!--custom.scenarios.bedrock-agent_GettingStartedWithBedrockPrompts.end-->
 
 #### Tool use with the Converse API