Struct LlmConfig 

pub struct LlmConfig {
    pub url: String,
    pub model: String,
    pub api_key: Option<String>,
    pub headers: HashMap<String, String>,
    pub timeout: Duration,
    pub temperature: f64,
    pub thinking: Option<bool>,
    pub model_params: HashMap<String, Value>,
    pub max_attempts: u32,
}

Configuration for the LLM client — bundles URL, model, auth, timeouts, and provider-specific options into a single struct passed everywhere.

Fields

url: String

OpenAI-compatible API base URL (without trailing /v1/…).

model: String

Model name (e.g. gpt-4o-mini, deepseek).

api_key: Option<String>

API key sent as Authorization: Bearer <key>.

headers: HashMap<String, String>

Custom headers appended to every LLM request.

timeout: Duration

HTTP timeout.

temperature: f64

Sampling temperature (0.0–1.0).

thinking: Option<bool>

Enable extended thinking / reasoning tokens. None = don’t send any thinking key (provider default).

model_params: HashMap<String, Value>

Provider-specific parameters merged into the request body (e.g. effort = "high" for Anthropic).

max_attempts: u32

How many times a single call to this endpoint is retried on transient failures before giving up (or moving to the next fallback endpoint). Default 3; override globally with HARNESS_LLM_CALL_ATTEMPTS.

Implementations

impl LlmConfig

pub fn from_env() -> Self

Build a config from environment defaults, falling back to safe values when no env vars are set.

Trait Implementations

impl Clone for LlmConfig

fn clone(&self) -> LlmConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for LlmConfig

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

Formats the value using the given formatter.