Module llm_provider 

LLM provider selection and integration.

Domain types (traits, provider structs) are defined in gestura-core-llm and re-exported here. This module adds the core-owned select_provider function which bridges crate::config::AppConfig to concrete provider instances.

Modules

default_models

Centralized default AI model constants for all providers.

model_capabilities

Dynamic model capabilities discovery and caching.

model_discovery

Dynamic model metadata discovery via provider APIs.

model_listing

Dynamic and static model listing for all LLM providers.

openai

OpenAI model capability and endpoint routing helpers.

token_tracker

Token usage tracking and cost estimation for Gestura

Structs

AgentContext

Context hints for provider selection (agent, tenant, etc.)

AnthropicProvider

HTTP-based Anthropic Claude provider

GeminiProvider

HTTP-based Google Gemini provider (Generative Language API).

GrokProvider

HTTP-based Grok (xAI) provider (OpenAI-compatible endpoint)

LlmCallResponse

Response from an LLM call including token usage

OllamaProvider

HTTP-based Ollama local provider

OpenAiProvider

HTTP-based OpenAI completion provider

TokenUsage

Token usage information from an LLM API call

ToolCallInfo

A structured tool call returned by the LLM when using native function calling.

UnconfiguredProvider

A provider that returns an error when no real provider is configured. Used when config is missing or invalid.

Traits

LlmProvider

Unified LLM interface (async)

Functions

select_provider

Select a provider based on config and context.

unconfigured_provider

Create an unconfigured provider that returns an error when called. Used when a provider is not properly configured.