Type Alias AgentStepConfig 

pub type AgentStepConfig = AgentConfig;

Backward-compatible alias for AgentConfig.

Examples

use ironflow_engine::config::AgentStepConfig;

let config = AgentStepConfig::new("Review this code for security issues")
    .model("haiku")
    .max_budget_usd(0.10);

Aliased Type

pub struct AgentStepConfig {
    pub system_prompt: Option<String>,
    pub prompt: String,
    pub model: String,
    pub allowed_tools: Vec<String>,
    pub max_turns: Option<u32>,
    pub max_budget_usd: Option<f64>,
    pub working_dir: Option<String>,
    pub mcp_config: Option<String>,
    pub permission_mode: PermissionMode,
    pub json_schema: Option<String>,
    pub resume_session_id: Option<String>,
    pub verbose: bool,
}

Fields

system_prompt: Option<String>

Optional system prompt that sets the agent’s persona or constraints.

prompt: String

The user prompt - the main instruction to the agent.

model: String

Which model to use for this invocation.

Accepts any string. Use Model constants for well-known Claude models (e.g. Model::SONNET), or pass a custom identifier for other providers.

allowed_tools: Vec<String>

Allowlist of tool names the agent may invoke (empty = provider default).

max_turns: Option<u32>

Maximum number of agentic turns before the provider should stop.

max_budget_usd: Option<f64>

Maximum spend in USD for this single invocation.

working_dir: Option<String>

Working directory for the agent process.

mcp_config: Option<String>

Path to an MCP server configuration file.

permission_mode: PermissionMode

Permission mode controlling how the agent handles tool-use approvals.

json_schema: Option<String>

Optional JSON Schema string. When set, the provider should request structured (typed) output from the model.

resume_session_id: Option<String>

Optional session ID to resume a previous conversation.

When set, the provider should continue the conversation from the specified session rather than starting a new one.

verbose: bool

Enable verbose/debug mode to capture the full conversation trace.

When true, the provider uses streaming output (stream-json) to record every assistant message and tool call. The resulting AgentOutput::debug_messages field will contain the conversation trace for inspection.