# `cleveragents.providers` — AI Provider Registry

The `providers` package implements the AI provider registry that discovers,
selects, and instantiates LLM backends.  It follows the provider plugin
architecture described in ADR-008 and wires into the actor system via
`AIProviderInterface`.

---

## Overview

The registry discovers configured providers from environment variables and
`Settings`, selects a default using a configurable fallback chain, and
creates `LangChain` LLM instances or `AIProviderInterface` wrappers on
demand.

```python
from cleveragents.providers.registry import get_provider_registry

registry = get_provider_registry()
provider = registry.create_ai_provider()   # uses default provider
llm = registry.create_llm()               # returns a LangChain BaseLanguageModel
```

---

## `ProviderType`

```python
class ProviderType(StrEnum):
    OPENAI      = "openai"
    ANTHROPIC   = "anthropic"
    GOOGLE      = "google"
    AZURE       = "azure"
    OPENROUTER  = "openrouter"
    GEMINI      = "gemini"
    COHERE      = "cohere"
    GROQ        = "groq"
    TOGETHER    = "together"
    MOCK        = "mock"
```

String enum of all supported provider identifiers.  Values are used in
`CLEVERAGENTS_DEFAULT_PROVIDER` and in actor YAML `provider:` fields.

---

## `ProviderCapabilities`

```python
@dataclass(frozen=True)
class ProviderCapabilities:
    supports_streaming: bool = True
    supports_tool_calls: bool = False
    supports_vision: bool = False
    max_context_length: int = 4096
    supports_json_mode: bool = False
```

Immutable capability metadata for a provider.  Used by the actor system to
gate features (e.g., tool calls, vision inputs) at runtime.

### Default capabilities by provider

| Provider | Streaming | Tool calls | Vision | Context (tokens) | JSON mode |
|----------|-----------|------------|--------|-----------------|-----------|
| OpenAI | ✓ | ✓ | ✓ | 128 000 | ✓ |
| Anthropic | ✓ | ✓ | ✓ | 200 000 | ✗ |
| Google / Gemini | ✓ | ✓ | ✓ | 1 000 000 | ✓ |
| Azure OpenAI | ✓ | ✓ | ✓ | 128 000 | ✓ |
| OpenRouter | ✓ | ✓ | ✓ | 128 000 | ✓ |
| Cohere | ✓ | ✓ | ✗ | 128 000 | ✗ |
| Groq | ✓ | ✓ | ✗ | 32 000 | ✓ |
| Together | ✓ | ✓ | ✗ | 32 000 | ✗ |
| Mock | ✓ | ✗ | ✗ | 4 096 | ✗ |

---

## `ProviderInfo`

```python
class ProviderInfo(BaseModel):
    provider_type: ProviderType
    name: str
    api_key_env_var: str
    default_model: str
    capabilities: ProviderCapabilities
    is_configured: bool
```

Read-only snapshot of a provider's registration state.  Returned by
`ProviderRegistry.get_provider_info()` and `get_all_providers()`.

---

## `ProviderRegistry`

Central registry for discovering and managing AI providers.

```python
from cleveragents.providers.registry import ProviderRegistry

registry = ProviderRegistry()                  # uses global Settings
registry = ProviderRegistry(settings=my_cfg)   # override settings
```

### Default models

| Provider | Default model |
|----------|--------------|
| OpenAI | `gpt-4o` |
| Anthropic | `claude-sonnet-4-20250514` |
| Google / Gemini | `gemini-2.0-flash` |
| Azure | `gpt-4o` |
| OpenRouter | `anthropic/claude-sonnet-4-20250514` |
| Cohere | `command-r-plus` |
| Groq | `llama-3.1-70b-versatile` |
| Together | `meta-llama/Llama-3.1-70B-Instruct-Turbo` |
| Mock | `mock-gpt` |

### Provider fallback order

When `CLEVERAGENTS_DEFAULT_PROVIDER` is not set, the registry selects the
first configured provider in this order:

`openai → anthropic → google → azure → openrouter → groq → together → cohere`

### Methods

#### `get_configured_providers() → list[ProviderInfo]`

Returns only providers that have valid API credentials configured.

#### `get_all_providers() → list[ProviderInfo]`

Returns all known providers regardless of configuration state.

#### `get_provider_info(provider_type) → ProviderInfo | None`

Look up a provider by `ProviderType` or string name.  Returns `None` if
the provider is unknown.

#### `is_provider_configured(provider_type) → bool`

Returns `True` if the provider has a non-empty API key in `Settings`.

#### `get_default_provider_type() → ProviderType | None`

Resolves the default provider using this precedence:

1. `CLEVERAGENTS_DEFAULT_PROVIDER` environment variable
2. `Settings.default_provider`
3. First configured provider in fallback order

Returns `None` if no provider is configured.

#### `get_default_model(provider_type=None) → str | None`

Resolves the default model using this precedence:

1. `CLEVERAGENTS_DEFAULT_MODEL` environment variable
2. `Settings.default_model`
3. Provider's built-in default model

#### `create_llm(provider_type=None, model_id=None, **kwargs) → BaseLanguageModel`

Creates a LangChain `BaseLanguageModel` for the specified provider and model.

```python
llm = registry.create_llm("anthropic", model_id="claude-3-haiku-20240307")
```

Raises `ValueError` if no provider is configured or the provider name is
unknown.

#### `create_ai_provider(provider_type=None, model_id=None, max_retries=3) → AIProviderInterface`

Creates an `AIProviderInterface` implementation.  For most providers this
returns a `LangChainChatProvider`; Google and OpenRouter return their own
specialized implementations.

```python
provider = registry.create_ai_provider("openai", model_id="gpt-4o-mini")
```

---

## `LangChainChatProvider`

**Module:** `cleveragents.providers.llm.langchain_chat_provider`

Wraps a LangChain chat model with the `AIProviderInterface` protocol and
wires it into `PlanGenerationGraph`.

```python
class LangChainChatProvider(AIProviderInterface):
    def __init__(
        self,
        *,
        name: str,
        model_id: str,
        llm_factory: Callable[[str], BaseLanguageModel],
        max_retries: int = 3,
        supports_streaming: bool = True,
        progress_map: dict[str, int] | None = None,
    ) -> None: ...

    @property
    def name(self) -> str: ...

    @name.setter
    def name(self, value: str) -> None: ...

    @property
    def model_id(self) -> str: ...

    @model_id.setter
    def model_id(self, value: str) -> None: ...
```

> **Note (v3.7.0+):** `name` and `model_id` are now mutable properties with
> setters, fixing an `AttributeError` when `PlanService` attempted to resolve
> provider names after instantiation. (#1553)

---

## Module-level helpers

### `get_provider_registry(settings=None) → ProviderRegistry`

Returns the global singleton `ProviderRegistry`.  Pass `settings` to force
a fresh instance (useful in tests).

### `reset_provider_registry() → None`

Clears the global singleton.  Call this between tests to ensure clean state.

### `resolve_provider_by_name(name, settings=None) → AIProviderInterface`

Convenience function that resolves a provider by string name and raises a
descriptive `ValueError` if the provider is not configured.

```python
from cleveragents.providers.registry import resolve_provider_by_name

provider = resolve_provider_by_name("anthropic")
```

---

## Environment variables

| Variable | Description |
|----------|-------------|
| `CLEVERAGENTS_DEFAULT_PROVIDER` | Pin the global provider (e.g. `openai`) |
| `CLEVERAGENTS_DEFAULT_MODEL` | Pin the global model ID |
| `OPENAI_API_KEY` | OpenAI credentials |
| `ANTHROPIC_API_KEY` | Anthropic credentials |
| `GOOGLE_API_KEY` / `GOOGLE_GENAI_API_KEY` | Google credentials |
| `AZURE_OPENAI_API_KEY` | Azure OpenAI credentials |
| `AZURE_OPENAI_ENDPOINT` | Azure OpenAI endpoint URL |
| `AZURE_OPENAI_DEPLOYMENT` | Azure deployment name |
| `OPENROUTER_API_KEY` | OpenRouter credentials |
| `GEMINI_API_KEY` / `GOOGLE_GEMINI_API_KEY` | Gemini credentials |
| `COHERE_API_KEY` | Cohere credentials |
| `GROQ_API_KEY` | Groq credentials |
| `TOGETHER_API_KEY` | Together AI credentials |
| `CLEVERAGENTS_TESTING_USE_MOCK_AI` | Force mock provider in tests |

---

## ASV Performance Benchmarks

The `benchmarks/` directory contains ASV (airspeed velocity) benchmark
suites for the providers module.  Run them with:

```bash
nox -s benchmarks
# or directly:
asv run --config asv.conf.json
```

Benchmarks cover provider discovery, registry initialization, and LLM
factory creation latency.  Results are tracked over time to detect
performance regressions.
