Struct BaseAgent 

pub struct BaseAgent {

    pub id: String,
    pub model: String,
    pub system_prompt: String,
    pub max_rounds: usize,
    pub tool_executor: Arc<dyn ToolExecutor>,
    pub chat_options: Option<ChatOptions>,
    pub fallback_models: Vec<String>,
    pub llm_retry_policy: LlmRetryPolicy,
    pub behavior: Arc<dyn AgentBehavior>,
    pub lattice_registry: Arc<LatticeRegistry>,
    pub state_scope_registry: Arc<StateScopeRegistry>,
    pub step_tool_provider: Option<Arc<dyn StepToolProvider>>,
    pub llm_executor: Option<Arc<dyn LlmExecutor>>,
    pub state_action_deserializer_registry: Arc<StateActionDeserializerRegistry>,
}

Standard Agent implementation.

Bundles all configuration and behavior for running an agent loop. Constructed by AgentOS from an AgentDefinition, or directly for tests.

Fields

id: String

Unique identifier for this agent.

model: String

Model identifier (e.g., “gpt-4”, “claude-3-opus”).

system_prompt: String

System prompt for the LLM.

max_rounds: usize

Optional loop-budget hint (core loop does not enforce this directly).

tool_executor: Arc<dyn ToolExecutor>

Tool execution strategy (parallel, sequential, or custom).

chat_options: Option<ChatOptions>

Chat options for the LLM.

fallback_models: Vec<String>

Fallback model ids used when the primary model fails.

llm_retry_policy: LlmRetryPolicy

Retry policy for LLM inference failures.

behavior: Arc<dyn AgentBehavior>

Agent behavior (declarative model).

lattice_registry: Arc<LatticeRegistry>

Lattice registry for CRDT-aware conflict resolution.

state_scope_registry: Arc<StateScopeRegistry>

State scope registry mapping StateSpec types to their declared scopes.

step_tool_provider: Option<Arc<dyn StepToolProvider>>

Optional per-step tool provider.

llm_executor: Option<Arc<dyn LlmExecutor>>

Optional LLM executor override.

state_action_deserializer_registry: Arc<StateActionDeserializerRegistry>

Registry for deserializing persisted state-action intents during crash recovery.

Implementations

impl BaseAgent

pub fn new(model: impl Into<String>) -> Self

Create a new instance with the given model id.

pub fn with_id(id: impl Into<String>, model: impl Into<String>) -> Self

Create a new instance with explicit id and model.

pub fn with_system_prompt(self, prompt: impl Into<String>) -> Self

Set system prompt.

pub fn with_max_rounds(self, max_rounds: usize) -> Self

Set max rounds.

pub fn with_chat_options(self, options: ChatOptions) -> Self

Set chat options.

pub fn with_fallback_models(self, models: Vec<String>) -> Self

Set fallback model ids to try after the primary model.

pub fn with_fallback_model(self, model: impl Into<String>) -> Self

Add a single fallback model id.

pub fn with_llm_retry_policy(self, policy: LlmRetryPolicy) -> Self

Set LLM retry policy.

pub fn with_tool_executor(self, executor: Arc<dyn ToolExecutor>) -> Self

Set tool executor strategy.

pub fn with_tools(self, tools: HashMap<String, Arc<dyn Tool>>) -> Self

Set static tool map (wraps in [StaticStepToolProvider]).

Prefer passing tools directly to [run_loop] / [run_loop_stream]; use this only when you need to set tools via step_tool_provider.

pub fn with_step_tool_provider( self, provider: Arc<dyn StepToolProvider>, ) -> Self

Set per-step tool provider.

pub fn with_llm_executor(self, executor: Arc<dyn LlmExecutor>) -> Self

Set LLM executor.

pub fn with_behavior(self, behavior: Arc<dyn AgentBehavior>) -> Self

Set the agent behavior (declarative model), replacing any existing behavior.

The loop dispatches all phase hooks exclusively through this behavior.

pub fn has_behavior(&self) -> bool

Check if any behavior is configured.

Trait Implementations

impl Agent for BaseAgent

fn id(&self) -> &str

Unique identifier for this agent.

fn model(&self) -> &str

Model identifier (e.g., “gpt-4”, “claude-3-opus”).

fn system_prompt(&self) -> &str

System prompt for the LLM.

fn max_rounds(&self) -> usize

Loop-budget hint (core loop does not enforce this directly).

fn chat_options(&self) -> Option<&ChatOptions>

Chat options for the LLM.

fn fallback_models(&self) -> &[String]

Fallback model ids used when the primary model fails.

fn llm_retry_policy(&self) -> &LlmRetryPolicy

Retry policy for LLM inference failures.

fn tool_executor(&self) -> Arc<dyn ToolExecutor>

Tool execution strategy (parallel, sequential, or custom).

fn step_tool_provider(&self) -> Option<Arc<dyn StepToolProvider>>

Optional per-step tool provider.

fn llm_executor(&self) -> Option<Arc<dyn LlmExecutor>>

Optional LLM executor override.

fn behavior(&self) -> &dyn AgentBehavior

The agent behavior (phase hooks) dispatched by the loop.

fn state_action_deserializer_registry( &self, ) -> Arc<StateActionDeserializerRegistry>

Registry for deserializing persisted state-action intents during crash recovery.

impl Clone for BaseAgent

fn clone(&self) -> BaseAgent

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for BaseAgent

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for BaseAgent

fn default() -> Self

Returns the “default value” for a type.