Introducing Amazon Nova 2 Lite, a fast, cost-effective reasoning model
Nova 2 Lite is positioned less as a single-purpose chatbot model and more as a controllable runtime component for production AI systems. The operational detail that matters is the reasoning toggle: by default it favors speed and cost, but teams can enable extended thinking and set a low, medium, or high budget. That makes latency, token usage, and answer quality an explicit architecture choice rather than an opaque model behavior, which is useful when different workflows need different service levels.
The modelโs one million-token context window and multimodal inputs change how teams design retrieval and orchestration layers. Large contexts can reduce prompt-chaining complexity and support richer in-context learning, but they also push more responsibility onto prompt governance, input validation, and cost controls. Support for text, image, video, and documents means integration teams will need to think about upstream normalization, content routing, and where to place pre-processing before requests hit Bedrock.
For agentic systems, the built-in web grounding and code interpreter are the most operationally sensitive features. They broaden what the model can do inside a workflow, but they also introduce dependency management, auditability, and safety considerations around external information and executable code. The Bedrock and SageMaker customization paths suggest this model is meant to sit inside existing enterprise controls rather than replace them, so deployment success will depend on how well teams align model behavior with access policies, observability, and human review boundaries.
Nova 2 Lite is built to meet your companyโs needsNova 2 Lite can be used for a broad range of your everyday AI tasks. It offers the best combination of price, performance, and speed. Early customers are using Nova 2 Lite for customer service chatbots, document processing, and business process automation. Nova 2 Lite can help support workloads across many different use cases:
- Business applications โ Automate business process workflow, intelligent document processing (IDP), customer support, and web search to improve productivity and outcomes
- Software engineering โ Generate code, debugging, refactoring, and migrating systems to accelerate development and increase efficiency
- Business intelligence and research โ Use long-horizon reasoning and web grounding to analyze internal and external sources to uncover insights, and make informed decisions
In the Amazon Bedrock console, you can use the Chat/Text playground to quickly test the new model with your prompts. To integrate the model into your applications, you can use any AWS SDKs with the Amazon Bedrock InvokeModel and Converse API. Hereโs a sample invocation using the AWS SDK for Python (Boto3).
import boto3
AWS_REGION="us-east-1"
MODEL_ID="global.amazon.nova-2-lite-v1:0"
MAX_REASONING_EFFORT="low" # low, medium, high
bedrock_runtime = boto3.client("bedrock-runtime", region_name=AWS_REGION)
# Enable extended thinking for complex problem-solving
response = bedrock_runtime.converse(
modelId=MODEL_ID,
messages=[{
"role": "user",
"content": [{"text": "I need to optimize a logistics network with 5 warehouses, 12 distribution centers, and 200 retail locations. The goal is to minimize total transportation costs while ensuring no location is more than 50 miles from a distribution center. What approach should I take?"}]
}],
additionalModelRequestFields={
"reasoningConfig": {
"type": "enabled", # enabled, disabled (default)
"maxReasoningEffort": MAX_REASONING_EFFORT
}
}
)
# The response will contain reasoning blocks followed by the final answer
for block in response["output"]["message"]["content"]:
if "reasoningContent" in block:
reasoning_text = block["reasoningContent"]["reasoningText"]["text"]
print(f"Nova's thinking process:\n{reasoning_text}\n")
elif "text" in block:
print(f"Final recommendation:\n{block['text']}")
You can also use the new model with agentic frameworks that supports Amazon Bedrock and deploy the agents using Amazon Bedrock AgentCore. In this way, you can build agents for a broad range of tasks. Hereโs the sample code for an interactive multi-agent system using the Strands Agents SDK. The agents have access to multiple tools, including read and write file access and the possibility to run shell commands.
from strands import Agent
from strands.models import BedrockModel
from strands_tools import calculator, editor, file_read, file_write, shell, http_request, graph, swarm, use_agent, think
AWS_REGION="us-east-1"
MODEL_ID="global.amazon.nova-2-lite-v1:0"
MAX_REASONING_EFFORT="low" # low, medium, high
SYSTEM_PROMPT = (
"You are a helpful assistant. "
"Follow the instructions from the user. "
"To help you with your tasks, you can dynamically create specialized agents and orchestrate complex workflows."
)
bedrock_model = BedrockModel(
region_name=AWS_REGION,
model_id=MODEL_ID,
additional_request_fields={
"reasoningConfig": {
"type": "enabled", # enabled, disabled (default)
"maxReasoningEffort": MAX_REASONING_EFFORT
}
}
)
agent = Agent(
model=bedrock_model,
system_prompt=SYSTEM_PROMPT,
tools=[calculator, editor, file_read, file_write, shell, http_request, graph, swarm, use_agent, think]
)
while True:
try:
prompt = input("\nEnter your question (or 'quit' to exit): ").strip()
if prompt.lower() in ['quit', 'exit', 'q']:
break
if len(prompt) > 0:
agent(prompt)
except KeyboardInterrupt:
break
except EOFError:
break
print("\nGoodbye!")
Things to knowAmazon Nova 2 Lite is now available in Amazon Bedrock via global cross-Region inference in multiple locations. For Regional availability and future roadmap, visit AWS Capabilities by Region. Nova 2 Lite includes built-in safety controls to promote responsible AI use, with content moderation capabilities that help maintain appropriate outputs across a wide range of applications. To understand the costs, see Original Postricing/" shape="rect">Amazon Bedrock pricing. To learn more, visit the Amazon Nova User Guide. Start building with Nova 2 Lite today. To experiment with the new model, visit the Amazon Nova interactive website. Try the model in the Amazon Bedrock console, and share your feedback on AWS re:Post. Learn more
Amazon Nova main product page More Amazon Nova launches:
Introducing Amazon Nova 2 Sonic: Our new speech-to-speech model for conversational AI
Introducing Amazon Nova Forge: Build your own frontier models using Nova
Introducing Amazon Nova 2 Omni in Preview
Build reliable AI agents for UI workflow automation with Amazon Nova Act, now generally available โ Danilo
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