Add AIMLAPI provider integration and example

Introduces AIMLAPIProvider in marvin.providers for AI/ML API support, including provider registration in __init__.py. Adds an example script demonstrating agent usage with AIMLAPI in examples/provider_specific/aimlapi/run_agent.py.

Author: D1m7asis

README.md

@@ -19,7 +19,7 @@ Install `marvin`:
 uv pip install marvin
 ```
 
-Configure your LLM provider (Marvin uses OpenAI by default but natively supports [all Pydantic AI models](https://ai.pydantic.dev/models/)):
+Configure your LLM provider (Marvin uses OpenAI by default but also supports providers like [AI/ML API](https://aimlapi.com/) and other [Pydantic AI models](https://ai.pydantic.dev/models/)):
 
 ```bash
 export OPENAI_API_KEY=your-api-key

docs/guides/configure-llms.mdx

@@ -77,6 +77,7 @@ Marvin supports any model provider that is compatible with Pydantic AI. Common p
 - Anthropic
 - Azure OpenAI
 - Google
+- [AI/ML API](https://aimlapi.com) - 300+ models with an OpenAI-compatible interface
 
 Each provider may require its own API key and configuration. Refer to the provider's [documentation](https://ai.pydantic.dev/models/) for specific setup instructions. 
 

docs/installation.mdx

@@ -7,7 +7,7 @@ icon: download
 ## Requirements
 
 - Python 3.10 or higher
-- An API key from an LLM provider (OpenAI by default)
+- An API key from an LLM provider (OpenAI by default, or [AI/ML API](https://aimlapi.com/))
 
 ## Install `marvin`
 
@@ -40,6 +40,12 @@ By default, Marvin uses OpenAI's models. Set your API key as an environment vari
 export OPENAI_API_KEY="your-api-key"
 ```
 
+To use AI/ML API, set the `AIML_API_KEY` variable instead:
+
+```bash
+export AIML_API_KEY="your-api-key"
+```
+
 To use another provider, see the docs on [configuring LLMs](/guides/configure-llms).
 
 ## Development Installation

examples/provider_specific/aimlapi/run_agent.py

@@ -0,0 +1,26 @@
+import os
+from pathlib import Path
+
+from pydantic_ai.models.openai import OpenAIModel
+
+import marvin
+from marvin.providers.aimlapi import AIMLAPIProvider
+
+
+def write_file(path: str, content: str) -> None:
+    """Write content to a file."""
+    Path(path).write_text(content)
+
+
+writer = marvin.Agent(
+    model=OpenAIModel(
+        "gpt-4o-mini",
+        provider=AIMLAPIProvider(api_key=os.getenv("AIML_API_KEY")),
+    ),
+    name="AI/ML Writer",
+    instructions="Write concise, engaging content for developers",
+    tools=[write_file],
+)
+
+result = marvin.run("how to use pydantic? write haiku to docs.md", agents=[writer])
+print(result)

src/marvin/providers/__init__.py

@@ -0,0 +1,3 @@
+from .aimlapi import AIMLAPIProvider
+
+__all__ = ["AIMLAPIProvider"]

src/marvin/providers/aimlapi.py

@@ -0,0 +1,66 @@
+from __future__ import annotations
+
+import os
+from typing import overload
+
+from httpx import AsyncClient as AsyncHTTPClient
+from openai import AsyncOpenAI
+
+from pydantic_ai.exceptions import UserError
+from pydantic_ai.models import cached_async_http_client
+from pydantic_ai.profiles import ModelProfile
+from pydantic_ai.profiles.openai import openai_model_profile
+from pydantic_ai.providers import Provider
+
+
+class AIMLAPIProvider(Provider[AsyncOpenAI]):
+    """Provider for the AI/ML API."""
+
+    @property
+    def name(self) -> str:  # pragma: no cover - simple property
+        return "aimlapi"
+
+    @property
+    def base_url(self) -> str:  # pragma: no cover - simple property
+        return "https://api.aimlapi.com/v1"
+
+    @property
+    def client(self) -> AsyncOpenAI:
+        return self._client
+
+    def model_profile(self, model_name: str) -> ModelProfile | None:  # pragma: no cover - thin wrapper
+        return openai_model_profile(model_name)
+
+    @overload
+    def __init__(self) -> None: ...
+
+    @overload
+    def __init__(self, *, api_key: str) -> None: ...
+
+    @overload
+    def __init__(self, *, api_key: str, http_client: AsyncHTTPClient) -> None: ...
+
+    @overload
+    def __init__(self, *, openai_client: AsyncOpenAI | None = None) -> None: ...
+
+    def __init__(
+        self,
+        *,
+        api_key: str | None = None,
+        openai_client: AsyncOpenAI | None = None,
+        http_client: AsyncHTTPClient | None = None,
+    ) -> None:
+        api_key = api_key or os.getenv("AIML_API_KEY")
+        if not api_key and openai_client is None:
+            raise UserError(
+                "Set the `AIML_API_KEY` environment variable or pass it via `AIMLAPIProvider(api_key=...)` "
+                "to use the AI/ML API provider."
+            )
+
+        if openai_client is not None:
+            self._client = openai_client
+        elif http_client is not None:
+            self._client = AsyncOpenAI(base_url=self.base_url, api_key=api_key, http_client=http_client)
+        else:
+            http_client = cached_async_http_client(provider="aimlapi")
+            self._client = AsyncOpenAI(base_url=self.base_url, api_key=api_key, http_client=http_client)