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Merged
anbuzin merged 1 commit into from
May 14, 2026
Merged

Switch examples from sonnet-4 to to sonnet-4.6 #131

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2 changes: 1 addition & 1 deletion examples/multiagent-textual/server.py
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Expand Up @@ -58,7 +58,7 @@ class Approval(pydantic.BaseModel):
# Model
# ---------------------------------------------------------------------------

MODEL = ai.get_model("gateway:anthropic/claude-sonnet-4")
MODEL = ai.get_model("gateway:anthropic/claude-sonnet-4.6")


# ---------------------------------------------------------------------------
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2 changes: 1 addition & 1 deletion examples/samples/agent_custom_loop.py
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Expand Up @@ -47,7 +47,7 @@ async def loop(self, context: ai.Context) -> AsyncGenerator[ai.events.AgentEvent


async def main() -> None:
model = ai.get_model("gateway:anthropic/claude-sonnet-4")
model = ai.get_model("gateway:anthropic/claude-sonnet-4.6")

my_agent = CustomAgent()

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2 changes: 1 addition & 1 deletion examples/samples/agent_hooks.py
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Expand Up @@ -19,7 +19,7 @@ async def contact_mothership(query: str) -> str:


async def main() -> None:
model = ai.get_model("gateway:anthropic/claude-sonnet-4")
model = ai.get_model("gateway:anthropic/claude-sonnet-4.6")

my_agent = ai.Agent(tools=[contact_mothership])

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2 changes: 1 addition & 1 deletion examples/samples/agent_hooks_inline.py
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Expand Up @@ -74,7 +74,7 @@ async def loop(self, context: ai.Context) -> AsyncGenerator[ai.events.AgentEvent


async def main() -> None:
model = ai.get_model("gateway:anthropic/claude-sonnet-4")
model = ai.get_model("gateway:anthropic/claude-sonnet-4.6")

my_agent = ApprovalAgent()

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2 changes: 1 addition & 1 deletion examples/samples/agent_hooks_serverless.py
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Expand Up @@ -39,7 +39,7 @@ async def audit_log(message: str) -> str:


async def main() -> None:
model = ai.get_model("gateway:anthropic/claude-sonnet-4")
model = ai.get_model("gateway:anthropic/claude-sonnet-4.6")

my_agent = ai.Agent(tools=[delete_file, audit_log])

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2 changes: 1 addition & 1 deletion examples/samples/agent_nested.py
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Expand Up @@ -4,7 +4,7 @@

import ai

model = ai.get_model("gateway:anthropic/claude-sonnet-4")
model = ai.get_model("gateway:anthropic/claude-sonnet-4.6")


@ai.tool
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2 changes: 1 addition & 1 deletion examples/samples/agent_simple.py
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Expand Up @@ -12,7 +12,7 @@ async def get_weather(city: str) -> str:


async def main() -> None:
model = ai.get_model("gateway:anthropic/claude-sonnet-4")
model = ai.get_model("gateway:anthropic/claude-sonnet-4.6")

my_agent = ai.agent(tools=[get_weather])

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4 changes: 2 additions & 2 deletions examples/samples/check_connection.py
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Expand Up @@ -6,8 +6,8 @@
import ai

PROVIDERS: list[tuple[str, ai.Provider, str]] = [
("ai_gateway", ai.get_provider("vercel"), "anthropic/claude-sonnet-4"),
("anthropic", ai.get_provider("anthropic"), "claude-sonnet-4-20250514"),
("ai_gateway", ai.get_provider("vercel"), "anthropic/claude-sonnet-4.6"),
("anthropic", ai.get_provider("anthropic"), "claude-sonnet-4-6"),
("openai", ai.get_provider("openai"), "gpt-5.4-mini"),
]

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2 changes: 1 addition & 1 deletion examples/samples/mcp_tools.py
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Expand Up @@ -7,7 +7,7 @@


async def main() -> None:
model = ai.get_model("gateway:anthropic/claude-sonnet-4")
model = ai.get_model("gateway:anthropic/claude-sonnet-4.6")

context7_tools: list[ai.AgentTool] = await ai.mcp.get_http_tools(
"https://mcp.context7.com/mcp",
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2 changes: 1 addition & 1 deletion examples/samples/model_params.py
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Expand Up @@ -4,7 +4,7 @@

import ai

model = ai.get_model("gateway:anthropic/claude-sonnet-4")
model = ai.get_model("gateway:anthropic/claude-sonnet-4.6")

messages = [
ai.system_message("Be concise."),
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2 changes: 1 addition & 1 deletion examples/samples/multimodal_input.py
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Expand Up @@ -5,7 +5,7 @@

import ai

model = ai.get_model("gateway:anthropic/claude-sonnet-4")
model = ai.get_model("gateway:anthropic/claude-sonnet-4.6")

image_path = pathlib.Path(__file__).parent / "sample_image.jpg"
image_data = image_path.read_bytes()
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11 changes: 5 additions & 6 deletions examples/samples/prompt_caching.py
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Expand Up @@ -7,9 +7,8 @@

Cache stats are surfaced on ``Stream.usage``:
``cache_write_tokens`` on the first call, ``cache_read_tokens`` on the
second. If the prefix is below the model's minimum (1024 tokens for
Sonnet 4 / 3.7, 2048 for Sonnet 4.6, 4096 for Opus 4.x / Haiku 4.5),
caching silently no-ops — no error, just zeros.
second. Each model has a minimum prefix size below which caching
silently no-ops — no error, just zeros.

See https://vercel.com/docs/ai-gateway/models-and-providers/automatic-caching
"""
Expand All @@ -18,14 +17,14 @@

import ai

model = ai.get_model("gateway:anthropic/claude-sonnet-4")
model = ai.get_model("gateway:anthropic/claude-sonnet-4.6")

# A NOTE FROM A HUMAN: Opus originally generated this example with a
# system prompt for a "senior incident-response engineer". I told it
# to try something more lighthearted, and it turned it into this.

# Long static prefix — kept well above Sonnet 4's 1024-token minimum so
# the cache breakpoint Anthropic adds actually sticks.
# Long static prefix — kept well above the model's minimum so the
# cache breakpoint Anthropic adds actually sticks.
SYSTEM_PROMPT = """\
You are the Chief Naptime Coordinator for a council of eleven extremely
opinionated house cats. Your job is to mediate disputes between the
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2 changes: 1 addition & 1 deletion examples/samples/stream.py
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Expand Up @@ -4,7 +4,7 @@

import ai

model = ai.get_model("gateway:anthropic/claude-sonnet-4")
model = ai.get_model("gateway:anthropic/claude-sonnet-4.6")

messages = [
ai.system_message("Be concise."),
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2 changes: 1 addition & 1 deletion examples/samples/streaming_tool.py
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Expand Up @@ -26,7 +26,7 @@ async def talk_to_mothership(question: str) -> ai.StreamingStatusTool[str]:


async def main() -> None:
model = ai.get_model("gateway:anthropic/claude-sonnet-4")
model = ai.get_model("gateway:anthropic/claude-sonnet-4.6")

my_agent = ai.agent(tools=[talk_to_mothership])

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2 changes: 1 addition & 1 deletion examples/samples/tools_schema.py
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Expand Up @@ -4,7 +4,7 @@

import ai

model = ai.get_model("gateway:anthropic/claude-sonnet-4")
model = ai.get_model("gateway:anthropic/claude-sonnet-4.6")

# Define a schema-only tool.
get_weather = ai.Tool(
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4 changes: 2 additions & 2 deletions examples/temporal-direct/main.py
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Expand Up @@ -103,7 +103,7 @@ class LLMResult:
@temporalio.activity.defn
async def llm_call_activity(params: LLMParams) -> LLMResult:
"""Call the LLM, drain the stream, return the final message."""
model = ai.get_model("gateway:anthropic/claude-sonnet-4")
model = ai.get_model("gateway:anthropic/claude-sonnet-4.6")
messages = [ai.messages.Message.model_validate(m) for m in params.messages]
tools = [
ai.Tool(
Expand Down Expand Up @@ -209,7 +209,7 @@ async def _call() -> ai.events.ToolCallResult:
class WeatherWorkflow:
@temporalio.workflow.run
async def run(self, user_query: str) -> str:
model = ai.get_model("gateway:anthropic/claude-sonnet-4")
model = ai.get_model("gateway:anthropic/claude-sonnet-4.6")
messages: list[ai.messages.Message] = [
ai.system_message(
"Answer questions using the weather and population tools."
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