Add AI Gateway provider

README.md

@@ -9,7 +9,6 @@ uv add vercel-ai-sdk
 ```
 
 ```python
-import os
 import vercel_ai_sdk as ai
 
 @ai.tool
@@ -27,11 +26,7 @@ async def agent(llm, query):
         tools=[talk_to_mothership],
     )
 
-llm = ai.openai.OpenAIModel(
-    model="anthropic/claude-opus-4.6",
-    base_url="https://ai-gateway.vercel.sh/v1",
-    api_key=os.environ["AI_GATEWAY_API_KEY"],
-)
+llm = ai.ai_gateway.GatewayModel(model="anthropic/claude-opus-4.6")
 
 async for msg in ai.run(agent, llm, "When will the robots take over?"):
     print(msg.text_delta, end="")
@@ -204,23 +199,31 @@ Three event types are tracked:
 #### LLM Providers
 
 ```python
-# OpenAI-compatible (including Vercel AI Gateway)
-llm = ai.openai.OpenAIModel(
+# Vercel AI Gateway (recommended)
+# Uses AI_GATEWAY_API_KEY env var by default
+llm = ai.ai_gateway.GatewayModel(
     model="anthropic/claude-opus-4.6",
-    base_url="https://ai-gateway.vercel.sh/v1",
-    api_key=os.environ["AI_GATEWAY_API_KEY"],
     thinking=True,           # enable reasoning output
     budget_tokens=10000,     # or reasoning_effort="medium"
 )
 
-# Anthropic (native client)
+# OpenAI (direct)
+llm = ai.openai.OpenAIModel(
+    model="gpt-4o",
+    thinking=True,
+    reasoning_effort="medium",
+)
+
+# Anthropic (direct)
 llm = ai.anthropic.AnthropicModel(
-    model="claude-opus-4.6-20250916",
+    model="claude-opus-4-6-20250916",
     thinking=True,
     budget_tokens=10000,
 )
 ```
 
+The gateway provider automatically routes Anthropic models through the native Anthropic API for full feature support, and falls back to the OpenAI-compatible endpoint for structured output and non-Anthropic models.
+
 #### MCP
 
 ```python

examples/fastapi-vite/backend/agent.py

@@ -1,6 +1,5 @@
 """Agent logic for the chat demo."""
 
-import os
 from typing import Any
 
 import vercel_ai_sdk as ai
@@ -14,11 +13,7 @@ async def talk_to_mothership(question: str) -> str:
 
 def get_llm() -> ai.LanguageModel:
     """Create the LLM instance."""
-    return ai.openai.OpenAIModel(
-        model="anthropic/claude-sonnet-4",
-        base_url="https://ai-gateway.vercel.sh/v1",
-        api_key=os.environ.get("AI_GATEWAY_API_KEY"),
-    )
+    return ai.ai_gateway.GatewayModel(model="anthropic/claude-opus-4.6")
 
 
 TOOLS: list[ai.Tool[..., Any]] = [talk_to_mothership]

examples/multiagent-textual/server.py

@@ -12,7 +12,6 @@
 
 import asyncio
 import json
-import os
 import warnings
 from typing import Any
 
@@ -181,11 +180,7 @@ async def ws_endpoint(websocket: fastapi.WebSocket) -> None:
     await websocket.accept()
     print("Client connected")
 
-    llm = ai.anthropic.AnthropicModel(
-        model="anthropic/claude-haiku-4.5",
-        base_url="https://ai-gateway.vercel.sh",
-        api_key=os.environ.get("AI_GATEWAY_API_KEY"),
-    )
+    llm = ai.ai_gateway.GatewayModel(model="anthropic/claude-opus-4.6")
 
     result = ai.run(multiagent, llm, "When will the robots take over?")
 

examples/samples/agent.py

@@ -1,18 +1,13 @@
 """Coding agent with local filesystem tools."""
 
 import asyncio
-import os
 
 import vercel_ai_sdk as ai
 import vercel_ai_sdk.agent as agent
 
 
 async def main() -> None:
-    llm = ai.openai.OpenAIModel(
-        model="anthropic/claude-sonnet-4-20250514",
-        base_url="https://ai-gateway.vercel.sh/v1",
-        api_key=os.environ.get("AI_GATEWAY_API_KEY"),
-    )
+    llm = ai.ai_gateway.GatewayModel(model="anthropic/claude-opus-4.6")
 
     coding_agent = agent.Agent(
         model=llm,

examples/samples/custom_loop.py

@@ -1,7 +1,6 @@
 """Custom agent loop with @ai.stream and manual tool execution."""
 
 import asyncio
-import os
 from collections.abc import AsyncGenerator
 from typing import Any
 
@@ -64,11 +63,7 @@ async def agent(llm: ai.LanguageModel, user_query: str) -> ai.StreamResult:
 
 
 async def main() -> None:
-    llm = ai.anthropic.AnthropicModel(
-        model="anthropic/claude-sonnet-4",
-        base_url="https://ai-gateway.vercel.sh",
-        api_key=os.environ.get("AI_GATEWAY_API_KEY"),
-    )
+    llm = ai.ai_gateway.GatewayModel(model="anthropic/claude-opus-4.6")
 
     async for msg in ai.run(
         agent, llm, "What's the weather and population of New York and Los Angeles?"

examples/samples/hooks.py

@@ -1,7 +1,6 @@
 """Human-in-the-loop approval hooks."""
 
 import asyncio
-import os
 
 import pydantic
 
@@ -57,11 +56,7 @@ async def graph(llm: ai.LanguageModel, query: str) -> ai.StreamResult:
 
 
 async def main() -> None:
-    llm = ai.openai.OpenAIModel(
-        model="anthropic/claude-sonnet-4-20250514",
-        base_url="https://ai-gateway.vercel.sh/v1",
-        api_key=os.environ.get("AI_GATEWAY_API_KEY"),
-    )
+    llm = ai.ai_gateway.GatewayModel(model="anthropic/claude-opus-4.6")
 
     async for msg in ai.run(graph, llm, "When will the robots take over?"):
         # Hook parts arrive as pending, waiting for resolution

examples/samples/mcp_tools.py

@@ -30,11 +30,7 @@ async def context7_agent(llm: ai.LanguageModel, user_query: str) -> ai.StreamRes
 
 
 async def main() -> None:
-    llm = ai.openai.OpenAIModel(
-        model="openai/gpt-4.1",
-        base_url="https://ai-gateway.vercel.sh/v1",
-        api_key=os.environ.get("AI_GATEWAY_API_KEY"),
-    )
+    llm = ai.ai_gateway.GatewayModel(model="anthropic/claude-opus-4.6")
 
     async for msg in ai.run(
         context7_agent, llm, "How do I create middleware in Next.js?"

examples/samples/multiagent.py

@@ -1,7 +1,6 @@
 """Multi-agent: parallel execution with labels, then summarization."""
 
 import asyncio
-import os
 
 import vercel_ai_sdk as ai
 
@@ -54,11 +53,7 @@ async def multiagent(llm: ai.LanguageModel, user_query: str) -> ai.StreamResult:
 
 
 async def main() -> None:
-    llm = ai.anthropic.AnthropicModel(
-        model="anthropic/claude-haiku-4.5",
-        base_url="https://ai-gateway.vercel.sh",
-        api_key=os.environ.get("AI_GATEWAY_API_KEY"),
-    )
+    llm = ai.ai_gateway.GatewayModel(model="anthropic/claude-opus-4.6")
 
     async for msg in ai.run(multiagent, llm, "Process the number 5"):
         if msg.text_delta:

examples/samples/simple.py

@@ -1,5 +1,4 @@
 import asyncio
-import os
 
 import vercel_ai_sdk as ai
 
@@ -21,11 +20,7 @@ async def agent(llm: ai.LanguageModel, user_query: str) -> ai.StreamResult:
 
 
 async def main() -> None:
-    llm = ai.openai.OpenAIModel(
-        model="anthropic/claude-sonnet-4",
-        base_url="https://ai-gateway.vercel.sh/v1",
-        api_key=os.environ.get("AI_GATEWAY_API_KEY"),
-    )
+    llm = ai.ai_gateway.GatewayModel(model="anthropic/claude-opus-4.6")
 
     async for msg in ai.run(agent, llm, "When will the robots take over?"):
         if msg.text_delta:

examples/samples/streaming_tool.py

@@ -1,7 +1,6 @@
 """Streaming from inside a tool via runtime.put_message()."""
 
 import asyncio
-import os
 
 import vercel_ai_sdk as ai
 
@@ -34,11 +33,7 @@ async def agent(llm: ai.LanguageModel, user_query: str) -> ai.StreamResult:
 
 
 async def main() -> None:
-    llm = ai.openai.OpenAIModel(
-        model="anthropic/claude-sonnet-4",
-        base_url="https://ai-gateway.vercel.sh/v1",
-        api_key=os.environ.get("AI_GATEWAY_API_KEY"),
-    )
+    llm = ai.ai_gateway.GatewayModel(model="anthropic/claude-opus-4.6")
 
     async for msg in ai.run(agent, llm, "When will the robots take over?"):
         if msg.label == "tool_progress":

examples/samples/structured_output.py

@@ -1,5 +1,4 @@
 import asyncio
-import os
 
 import pydantic
 
@@ -15,18 +14,7 @@ class WeatherForecast(pydantic.BaseModel):
 
 
 async def main() -> None:
-    # OpenAI-compatible provider
-    # llm = ai.openai.OpenAIModel(
-    #     model="anthropic/claude-opus-4.6",
-    #     base_url="https://ai-gateway.vercel.sh/v1",
-    #     api_key=os.environ.get("AI_GATEWAY_API_KEY"),
-    # )
-
-    # Anthropic provider
-    llm = ai.anthropic.AnthropicModel(
-        model="claude-opus-4-6",
-        api_key=os.environ.get("ANTHROPIC_API_KEY"),
-    )
+    llm = ai.ai_gateway.GatewayModel(model="anthropic/claude-opus-4.6")
 
     messages = ai.make_messages(
         system="You are a weather assistant. Respond with realistic weather data.",

examples/temporal-durable/activities.py

@@ -8,13 +8,11 @@
 from __future__ import annotations
 
 import dataclasses
-import os
 from typing import Any
 
 import temporalio.activity
 
 import vercel_ai_sdk as ai
-import vercel_ai_sdk.anthropic
 
 # ── Tool activities (one per tool, plain functions) ───────────────
 
@@ -48,11 +46,7 @@ class LLMCallResult:
 @temporalio.activity.defn(name="llm_call")
 async def llm_call_activity(params: LLMCallParams) -> LLMCallResult:
     """Call the LLM, drain the stream, return the final message."""
-    llm = ai.anthropic.AnthropicModel(
-        model="anthropic/claude-sonnet-4",
-        base_url="https://ai-gateway.vercel.sh",
-        api_key=os.environ.get("AI_GATEWAY_API_KEY"),
-    )
+    llm = ai.ai_gateway.GatewayModel(model="anthropic/claude-opus-4.6")
 
     messages = [ai.Message.model_validate(m) for m in params.messages]
     tools = [ai.ToolSchema.model_validate(t) for t in params.tool_schemas]

src/vercel_ai_sdk/__init__.py

@@ -1,4 +1,4 @@
-from . import ai_sdk_ui, anthropic, mcp, openai
+from . import ai_gateway, ai_sdk_ui, anthropic, mcp, openai
 from .core.checkpoint import Checkpoint
 from .core.hooks import Hook, hook
 from .core.llm import LanguageModel
@@ -61,6 +61,7 @@
     "make_messages",
     "hook",
     # Submodules
+    "ai_gateway",
     "anthropic",
     "mcp",
     "openai",