AgentConfig

type AgentConfig = {
  model?:   | Model<BaseModelConfig>
     | string;
  messages?:   | Message[]
     | MessageData[];
  tools?: ToolList;
  systemPrompt?:   | SystemPrompt
     | SystemPromptData;
  appState?: Record<string, JSONValue>;
  printer?: boolean;
  conversationManager?: ConversationManager;
  plugins?: Plugin[];
  structuredOutputSchema?: z.ZodSchema;
  sessionManager?: SessionManager;
  traceAttributes?: Record<string, AttributeValue>;
  name?: string;
  description?: string;
  id?: string;
  toolExecutor?: ToolExecutorStrategy;
};

Defined in: src/agent/agent.ts:102

Configuration object for creating a new Agent.

Properties

model?

optional model?:
  | Model<BaseModelConfig>
  | string;

Defined in: src/agent/agent.ts:125

The model instance that the agent will use to make decisions. Accepts either a Model instance or a string representing a Bedrock model ID. When a string is provided, it will be used to create a BedrockModel instance.

Example

// Using a string model ID (creates BedrockModel)
const agent = new Agent({
  model: 'anthropic.claude-3-5-sonnet-20240620-v1:0'
})

// Using an explicit BedrockModel instance with configuration
const agent = new Agent({
  model: new BedrockModel({
    modelId: 'anthropic.claude-3-5-sonnet-20240620-v1:0',
    temperature: 0.7,
    maxTokens: 2048
  })
})

---

messages?

optional messages?:
  | Message[]
  | MessageData[];

Defined in: src/agent/agent.ts:127

An initial set of messages to seed the agent’s conversation history.

---

tools?

optional tools?: ToolList;

Defined in: src/agent/agent.ts:133

An initial set of tools to register with the agent. Accepts nested arrays of tools at any depth, which will be flattened automatically. Agent instances are automatically wrapped as tools via Agent.asTool.

---

systemPrompt?

optional systemPrompt?:
  | SystemPrompt
  | SystemPromptData;

Defined in: src/agent/agent.ts:137

A system prompt which guides model behavior.

---

appState?

optional appState?: Record<string, JSONValue>;

Defined in: src/agent/agent.ts:139

Optional initial state values for the agent.

---

printer?

optional printer?: boolean;

Defined in: src/agent/agent.ts:145

Enable automatic printing of agent output to console. When true, prints text generation, reasoning, and tool usage as they occur. Defaults to true.

---

conversationManager?

optional conversationManager?: ConversationManager;

Defined in: src/agent/agent.ts:150

Conversation manager for handling message history and context overflow. Defaults to SlidingWindowConversationManager with windowSize of 40.

---

plugins?

optional plugins?: Plugin[];

Defined in: src/agent/agent.ts:154

Plugins to register with the agent.

---

structuredOutputSchema?

optional structuredOutputSchema?: z.ZodSchema;

Defined in: src/agent/agent.ts:158

Zod schema for structured output validation.

---

sessionManager?

optional sessionManager?: SessionManager;

Defined in: src/agent/agent.ts:162

Session manager for saving and restoring agent sessions

---

traceAttributes?

optional traceAttributes?: Record<string, AttributeValue>;

Defined in: src/agent/agent.ts:168

Custom trace attributes to include in all spans. These attributes are merged with standard attributes in telemetry spans. Telemetry must be enabled globally via telemetry.setupTracer() for these to take effect.

---

name?

optional name?: string;

Defined in: src/agent/agent.ts:172

Optional name for the agent. Defaults to “Strands Agent”.

---

description?

optional description?: string;

Defined in: src/agent/agent.ts:176

Optional description of what the agent does.

---

id?

optional id?: string;

Defined in: src/agent/agent.ts:180

Optional unique identifier for the agent. Defaults to “agent”.

---

toolExecutor?

optional toolExecutor?: ToolExecutorStrategy;

Defined in: src/agent/agent.ts:185

Strategy for executing tool calls from a single assistant turn. Defaults to 'sequential'. See ToolExecutorStrategy for details.