Struct MeshConfig 

pub struct MeshConfig {
    pub name: String,
    pub version: Option<String>,
    pub coordinator: Option<String>,
    pub auto_coordinator: bool,
    pub coordinator_model: Option<String>,
    pub memory: Option<MemoryConfig>,
    pub agents: Vec<AgentConfig>,
}

Configuration for a multi-agent mesh.

This struct allows defining multiple agents in a single TOML file.

Example

name = "research_mesh"

[memory]
backend = "sqlite"
path = "./data/knowledge.db"

[[agents]]
name = "researcher"
model = "ollama::gemma3:latest"
system_prompt = "You are a research assistant."
temperature = 0.7

[[agents]]
name = "summarizer"
model = "ollama::gemma3:latest"
system_prompt = "You are a summarization expert."
temperature = 0.5

Fields

name: String

Name of the mesh

version: Option<String>

Version of the mesh configuration

coordinator: Option<String>

Name of the agent to use as coordinator (must exist in agents list) Takes precedence over auto_coordinator if both are set

auto_coordinator: bool

If true, mesh will auto-generate a coordinator agent with orchestration capabilities Only used if coordinator is not explicitly set

coordinator_model: Option<String>

Default model for auto-generated coordinator (defaults to first agent’s model)

memory: Option<MemoryConfig>

Shared memory configuration for all agents (can be overridden per-agent)

agents: Vec<AgentConfig>

List of agent configurations

Implementations

impl MeshConfig

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

Create a new MeshConfig with a name.

pub fn from_toml(toml_str: &str) -> Result<Self>

Parse a MeshConfig from a TOML string.

Example

use enki_runtime::config::MeshConfig;

let toml = r#"
name = "my_mesh"

[[agents]]
name = "agent1"
model = "ollama::llama2"
"#;

let config = MeshConfig::from_toml(toml).unwrap();
assert_eq!(config.name, "my_mesh");
assert_eq!(config.agents.len(), 1);

pub fn from_file(path: impl AsRef<Path>) -> Result<Self>

Load a MeshConfig from a TOML file.

Example

use enki_runtime::config::MeshConfig;

let config = MeshConfig::from_file("agents.toml").unwrap();

pub fn add_agent(self, agent: AgentConfig) -> Self

Add an agent configuration.

pub fn get_agent(&self, name: &str) -> Option<&AgentConfig>

Get agent config by name.

pub fn get_coordinator(&self) -> Option<&AgentConfig>

Get the coordinator agent configuration.

Priority order:

1. Explicitly set coordinator field (must exist in agents list)
2. First agent in the list (default behavior)

Returns None if no agents are defined.

pub fn get_coordinator_name(&self) -> Option<&str>

Get the name of the coordinator agent.

pub fn ensure_coordinator(&mut self)

Ensure a coordinator agent exists if auto_coordinator is enabled.

This creates a built-in coordinator agent with orchestration capabilities that knows about all other agents in the mesh.

Call this after loading the config and before using the mesh.

pub fn with_coordinator(self, name: impl Into<String>) -> Self

Set the coordinator agent by name.

pub fn with_auto_coordinator(self, model: Option<String>) -> Self

Enable auto-coordinator with optional model.

Trait Implementations

impl Clone for MeshConfig

fn clone(&self) -> MeshConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MeshConfig

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

Formats the value using the given formatter.

impl Default for MeshConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for MeshConfig

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for MeshConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.