Provider implementations for goose. The trait they implement and the conversation types they exchange live in goose-provider-types, which this crate re-exports — depend on this crate when you want working providers, and on the types crate when you only need the contract.

Native providers

Module	Provider
`anthropic`	Anthropic
`openai`	OpenAI
`openai_compatible`	Any OpenAI-compatible endpoint
`google`	Google Gemini
`databricks`, `databricks_v2`, `databricks_auth`	Databricks, including OAuth
`azure_foundry`	Azure AI Foundry
`snowflake`	Snowflake Cortex
`ollama`	Ollama
`local_inference`	On-device models (requires `local-inference`)

Declarative providers

Most OpenAI-compatible services don't need Rust code — they're a JSON file in src/declarative/definitions/ (Groq, Mistral, Together, Cerebras, DeepSeek, Perplexity, LM Studio, Vercel AI Gateway, and ~30 more). Each definition declares its engine, base URL, env vars, and models.

declarative exposes the same shape at runtime:

deserialize_provider_config / from_json — build a DeclarativeProviderConfig from JSON.
load_custom_providers(dir) — load user-supplied definitions from disk.
fixed_provider_configs — the bundled set.

cargo run -p goose-providers --example declarative
cargo run -p goose-providers --example streaming

Features

Default is [].

TLS (pick one): rustls-tls or native-tls.
local-inference — pulls in goose-local-inference; cuda, vulkan, mlx select an accelerator and imply it.

Shared plumbing

api_client (HTTP with auth and retries), http_status (mapping responses to ProviderError), and the re-exported retry, cache_semantics, thinking, and formats modules are what the provider implementations are built from — start there when adding a new one.