update to gemini

Author: npentrel

src/langsmith/evaluate-graph.mdx

@@ -187,7 +187,7 @@ async def main():
         max_concurrency=4,  # optional
         experiment_prefix="claude-sonnet-4-6-baseline",  # optional
         metadata={  # optional, used to populate model/prompt/tool columns in UI
-            "models": "anthropic:claude-sonnet-4-6",
+            "models": "google_genai:gemini-3.1-pro-preview",
             "tools": [{"name": "search", "description": "Call to surf the web."}],
         },
     )
@@ -215,7 +215,7 @@ async def main():
         max_concurrency=4,  # optional
         experiment_prefix="claude-sonnet-4-6-baseline",  # optional
         metadata={  # optional, used to populate model/prompt/tool columns in UI
-            "models": "anthropic:claude-sonnet-4-6",
+            "models": "google_genai:gemini-3.1-pro-preview",
             "tools": [{"name": "search", "description": "Call to surf the web."}],
         },
     )
@@ -246,7 +246,7 @@ async def main():
         max_concurrency=4,  # optional
         experiment_prefix="claude-sonnet-4-6-baseline",  # optional
         metadata={  # optional, used to populate model/prompt/tool columns in UI
-            "models": "anthropic:claude-sonnet-4-6",
+            "models": "google_genai:gemini-3.1-pro-preview",
             "tools": [{"name": "search", "description": "Call to surf the web."}],
         },
     )
@@ -268,7 +268,7 @@ async def main():
         max_concurrency=4,  # optional
         experiment_prefix="claude-sonnet-4-6-model-node",  # optional
         metadata={  # optional, used to populate model/prompt/tool columns in UI
-            "models": "anthropic:claude-sonnet-4-6",
+            "models": "google_genai:gemini-3.1-pro-preview",
             "tools": [{"name": "search", "description": "Call to surf the web."}],
         },
     )
@@ -432,7 +432,7 @@ async def main():
         max_concurrency=4,  # optional
         experiment_prefix="claude-sonnet-4-6-baseline",  # optional
         metadata={  # optional, used to populate model/prompt/tool columns in UI
-            "models": "anthropic:claude-sonnet-4-6",
+            "models": "google_genai:gemini-3.1-pro-preview",
             "tools": [{"name": "search", "description": "Call to surf the web."}],
         },
     )

src/oss/concepts/providers-and-models.mdx

@@ -154,13 +154,13 @@ Because LangChain provider packages pass model names directly to the provider's
 
 :::python
 ```python
-model = init_chat_model("anthropic:claude-mythos")
+model = init_chat_model("google_genai:gemini-3.1-pro-preview")
 ```
 :::
 
 :::js
 ```typescript
-const model = await initChatModel("anthropic:claude-mythos");
+const model = await initChatModel("google_genai:gemini-3.1-pro-preview");
 ```
 :::
 

src/oss/deepagents/cli/configuration.mdx

@@ -70,7 +70,7 @@ Then override per-project where needed by placing a `.env` in the project direct
 ```toml
 [models]
 default = "ollama:qwen3:4b"             # your intentional long-term preference
-recent = "anthropic:claude-sonnet-4-5"   # last /model switch (written automatically)
+recent = "google_genai:gemini-3.1-pro-preview"   # last /model switch (written automatically)
 ```
 
 `[models].default` always takes priority over `[models].recent`. The `/model` command only writes to `[models].recent`, so your configured default is never overwritten by mid-session switches. To remove the default, use `/model --default --clear` or delete the `default` key from the config file.
@@ -223,7 +223,7 @@ To override model profile fields at runtime without editing the config file, pas
 deepagents --profile-override '{"max_input_tokens": 4096}'
 
 # Combine with --model
-deepagents --model anthropic:claude-sonnet-4-5 --profile-override '{"max_input_tokens": 4096}'
+deepagents --model google_genai:gemini-3.1-pro-preview --profile-override '{"max_input_tokens": 4096}'
 
 # In non-interactive mode
 deepagents -n "Summarize this repo" --profile-override '{"max_input_tokens": 4096}'

src/oss/deepagents/cli/overview.mdx

@@ -334,7 +334,7 @@ For full details on switching models, setting a default, and adding custom model
         Pass extra model constructor parameters when switching mid-session using `--model-params`:
 
         ```txt
-        > /model --model-params '{"temperature": 0.7}' anthropic:claude-sonnet-4-5
+        > /model --model-params '{"temperature": 0.7}' google_genai:gemini-3.1-pro-preview
         > /model --model-params '{"temperature": 0.7}'  # opens selector, applies params to chosen model
         ```
 
@@ -842,7 +842,7 @@ When configured, the CLI displays a status line with a link to the LangSmith pro
 deepagents --agent mybot
 
 # Use a specific model (provider:model format or auto-detect)
-deepagents --model anthropic:claude-sonnet-4-5
+deepagents --model google_genai:gemini-3.1-pro-preview
 deepagents --model gpt-4o
 
 # Auto-approve tool usage (skip human-in-the-loop prompts)

src/oss/deepagents/customization.mdx

@@ -86,7 +86,7 @@ For the full parameter list, see the [`createDeepAgent`](https://reference.langc
 
 ## Model
 
-Pass a `model` string in `provider:model` format, or an initialized model instance. Defaults to `anthropic:claude-sonnet-4-6`. See [supported models](/oss/deepagents/models#supported-models) for all providers and [suggested models](/oss/deepagents/models#suggested-models) for tested recommendations.
+Pass a `model` string in `provider:model` format, or an initialized model instance. See [supported models](/oss/deepagents/models#supported-models) for all providers and [suggested models](/oss/deepagents/models#suggested-models) for tested recommendations.
 
 <Tip>
     Use the `provider:model` format (for example `openai:gpt-5`) to quickly switch between models.

src/oss/deepagents/deploy.mdx

@@ -145,7 +145,7 @@ Core agent identity. For more on model selection and provider configuration, see
     Name for the deployed agent. Used as the assistant identifier in LangSmith.
 </ResponseField>
 
-<ResponseField name="model" type="string" default="anthropic:claude-sonnet-4-6">
+<ResponseField name="model" type="string">
     Model identifier in `provider:model` format. See [supported models](/oss/deepagents/models#supported-models).
 </ResponseField>
 
@@ -373,7 +373,7 @@ Each subagent subdirectory **may** contain:
 [agent]
 name = "researcher"
 description = "Researches market trends, competitors, and target audiences"
-model = "anthropic:claude-haiku-4-5-20251001"
+model = "google_genai:gemini-3.1-pro-preview"
 ```
 
 ### Inheritance
@@ -404,14 +404,14 @@ A go-to-market agent that delegates research to a specialized subagent:
 ```toml deepagents.toml
 [agent]
 name = "gtm-strategist"
-model = "anthropic:claude-sonnet-4-6"
+model = "google_genai:gemini-3.1-pro-preview"
 ```
 
 ```toml subagents/researcher/deepagents.toml
 [agent]
 name = "researcher"
 description = "Researches market trends, competitors, and target audiences to inform GTM strategy"
-model = "anthropic:claude-haiku-4-5-20251001"
+model = "google_genai:gemini-3.1-pro-preview"
 ```
 
 ```markdown subagents/researcher/AGENTS.md

src/oss/deepagents/quickstart.mdx

@@ -14,7 +14,7 @@ This guide walks you through creating your first deep agent with planning, file
 
 ## Prerequisites
 
-Before you begin, make sure you have an API key from a model provider (e.g., Anthropic, OpenAI).
+Before you begin, make sure you have an API key from a model provider (e.g., Gemini, Anthropic, OpenAI).
 
 <Note>
     Deep Agents require a model that supports [tool calling](/oss/langchain/models#tool-calling). See [customization](/oss/deepagents/customization#model) for how to configure your model.
@@ -208,7 +208,7 @@ Use this to run an internet search for a given query. You can specify the max nu
 """
 ```
 
-Pass a `model` string in `provider:model` format, or an initialized model instance. Defaults to `anthropic:claude-sonnet-4-6`. See [supported models](/oss/deepagents/models#supported-models) for all providers and [suggested models](/oss/deepagents/models#suggested-models) for tested recommendations.
+Pass a `model` string in `provider:model` format, or an initialized model instance. See [supported models](/oss/deepagents/models#supported-models) for all providers and [suggested models](/oss/deepagents/models#suggested-models) for tested recommendations.
 
 <Tabs>
     <Tab title="Google">

src/oss/langchain/agents.mdx

@@ -895,7 +895,7 @@ from langchain.agents import create_agent
 from langchain.messages import SystemMessage, HumanMessage
 
 literary_agent = create_agent(
-    model="anthropic:claude-sonnet-4-5",
+    model="google_genai:gemini-3.1-pro-preview",
     system_prompt=SystemMessage(
         content=[
             {
@@ -929,7 +929,7 @@ import { createAgent } from "langchain";
 import { SystemMessage, HumanMessage } from "@langchain/core/messages";
 
 const literaryAgent = createAgent({
-  model: "anthropic:claude-sonnet-4-5",
+  model: "google_genai:gemini-3.1-pro-preview",
   systemPrompt: new SystemMessage({
     content: [
       {

src/oss/langchain/frontend/integrations/copilotkit.mdx

@@ -290,7 +290,7 @@ const structuredOutputMiddleware = createMiddleware({
 });
 
 export const agent = createAgent({
-  model: process.env.COPILOTKIT_MODEL ?? "anthropic:claude-haiku-4-5",
+  model: process.env.COPILOTKIT_MODEL ?? "google_genai:gemini-3.1-pro-preview",
   contextSchema,
   middleware: [structuredOutputMiddleware],
   tools: [searchWebTool, deepSearchTool],

src/oss/langchain/mcp.mdx

@@ -527,7 +527,7 @@ async with client.session("server_name") as session:  # [!code highlight]
     # Pass the session to load tools, resources, or prompts
     tools = await load_mcp_tools(session)  # [!code highlight]
     agent = create_agent(
-        "anthropic:claude-3-7-sonnet-latest",
+        "google_genai:gemini-3.1-pro-preview",
         tools
     )
 ```