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Update integration docs to use gemini-flash-latest model consistently (#1702)
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29 files changed

Lines changed: 70 additions & 70 deletions

‎docs/integrations/adspirer.md‎

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@@ -88,7 +88,7 @@ agent can operate autonomously with built-in protections.
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from mcp import StdioServerParameters
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root_agent = Agent(
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model="gemini-2.5-pro",
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model="gemini-flash-latest",
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name="advertising_agent",
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instruction=(
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"You are an advertising agent that helps users create, manage, "
@@ -125,7 +125,7 @@ agent can operate autonomously with built-in protections.
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ADSPIRER_ACCESS_TOKEN = "YOUR_ADSPIRER_ACCESS_TOKEN"
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root_agent = Agent(
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model="gemini-2.5-pro",
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model="gemini-flash-latest",
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name="advertising_agent",
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instruction=(
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"You are an advertising agent that helps users create, manage, "
@@ -157,7 +157,7 @@ agent can operate autonomously with built-in protections.
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import { LlmAgent, MCPToolset } from "@google/adk";
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const rootAgent = new LlmAgent({
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model: "gemini-2.5-pro",
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model: "gemini-flash-latest",
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name: "advertising_agent",
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instruction:
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"You are an advertising agent that helps users create, manage, " +
@@ -192,7 +192,7 @@ agent can operate autonomously with built-in protections.
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const ADSPIRER_ACCESS_TOKEN = "YOUR_ADSPIRER_ACCESS_TOKEN";
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const rootAgent = new LlmAgent({
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model: "gemini-2.5-pro",
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model: "gemini-flash-latest",
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name: "advertising_agent",
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instruction:
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"You are an advertising agent that helps users create, manage, " +

‎docs/integrations/agentmail.md‎

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@@ -52,7 +52,7 @@ language.
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AGENTMAIL_API_KEY = "YOUR_AGENTMAIL_API_KEY"
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root_agent = Agent(
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model="gemini-2.5-pro",
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model="gemini-flash-latest",
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name="agentmail_agent",
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instruction="Help users manage email inboxes and send messages",
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tools=[
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const AGENTMAIL_API_KEY = "YOUR_AGENTMAIL_API_KEY";
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const rootAgent = new LlmAgent({
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model: "gemini-2.5-pro",
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model: "gemini-flash-latest",
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name: "agentmail_agent",
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instruction: "Help users manage email inboxes and send messages",
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tools: [

‎docs/integrations/agentphone.md‎

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@@ -59,7 +59,7 @@ create autonomous AI voice agents using natural language.
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AGENTPHONE_API_KEY = "YOUR_AGENTPHONE_API_KEY"
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root_agent = Agent(
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model="gemini-2.5-pro",
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model="gemini-flash-latest",
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name="agentphone_agent",
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instruction="Help users make phone calls, send SMS, and manage phone numbers",
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tools=[
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AGENTPHONE_API_KEY = "YOUR_AGENTPHONE_API_KEY"
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root_agent = Agent(
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model="gemini-2.5-pro",
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model="gemini-flash-latest",
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name="agentphone_agent",
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instruction="Help users make phone calls, send SMS, and manage phone numbers",
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tools=[
@@ -118,7 +118,7 @@ create autonomous AI voice agents using natural language.
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const AGENTPHONE_API_KEY = "YOUR_AGENTPHONE_API_KEY";
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const rootAgent = new LlmAgent({
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model: "gemini-2.5-pro",
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model: "gemini-flash-latest",
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name: "agentphone_agent",
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instruction: "Help users make phone calls, send SMS, and manage phone numbers",
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tools: [
@@ -146,7 +146,7 @@ create autonomous AI voice agents using natural language.
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const AGENTPHONE_API_KEY = "YOUR_AGENTPHONE_API_KEY";
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const rootAgent = new LlmAgent({
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model: "gemini-2.5-pro",
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model: "gemini-flash-latest",
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name: "agentphone_agent",
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instruction: "Help users make phone calls, send SMS, and manage phone numbers",
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tools: [

‎docs/integrations/asana.md‎

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@@ -44,7 +44,7 @@ tasks, goals, and team collaboration using natural language.
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from mcp import StdioServerParameters
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root_agent = Agent(
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model="gemini-2.5-pro",
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model="gemini-flash-latest",
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name="asana_agent",
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instruction="Help users manage projects, tasks, and goals in Asana",
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tools=[
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import { LlmAgent, MCPToolset } from "@google/adk";
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const rootAgent = new LlmAgent({
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model: "gemini-2.5-pro",
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model: "gemini-flash-latest",
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name: "asana_agent",
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instruction: "Help users manage projects, tasks, and goals in Asana",
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tools: [

‎docs/integrations/atlassian.md‎

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@@ -48,7 +48,7 @@ collaboration workflows using natural language.
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root_agent = Agent(
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model="gemini-2.5-pro",
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model="gemini-flash-latest",
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name="atlassian_agent",
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instruction="Help users work with data in Atlassian products",
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tools=[
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import { LlmAgent, MCPToolset } from "@google/adk";
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const rootAgent = new LlmAgent({
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model: "gemini-2.5-pro",
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model: "gemini-flash-latest",
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name: "atlassian_agent",
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instruction: "Help users work with data in Atlassian products",
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tools: [

‎docs/integrations/cartesia.md‎

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@@ -53,7 +53,7 @@ across languages, and create audio content using natural language.
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CARTESIA_API_KEY = "YOUR_CARTESIA_API_KEY"
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root_agent = Agent(
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model="gemini-2.5-pro",
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model="gemini-flash-latest",
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name="cartesia_agent",
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instruction="Help users generate speech and work with audio content",
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tools=[
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const CARTESIA_API_KEY = "YOUR_CARTESIA_API_KEY";
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const rootAgent = new LlmAgent({
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model: "gemini-2.5-pro",
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model: "gemini-flash-latest",
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name: "cartesia_agent",
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instruction: "Help users generate speech and work with audio content",
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tools: [

‎docs/integrations/chroma.md‎

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@@ -56,7 +56,7 @@ search, and metadata filtering.
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# CHROMA_API_KEY = "your-api-key"
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root_agent = Agent(
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model="gemini-2.5-pro",
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model="gemini-flash-latest",
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name="chroma_agent",
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instruction="Help users store and retrieve information using semantic search",
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tools=[
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// const CHROMA_API_KEY = "your-api-key";
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const rootAgent = new LlmAgent({
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model: "gemini-2.5-pro",
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model: "gemini-flash-latest",
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name: "chroma_agent",
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instruction: "Help users store and retrieve information using semantic search",
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tools: [

‎docs/integrations/couchbase.md‎

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@@ -56,7 +56,7 @@ issues.
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CB_PASSWORD = "password"
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root_agent = Agent(
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model="gemini-2.5-pro",
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model="gemini-flash-latest",
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name="couchbase_agent",
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instruction="Help users explore and query Couchbase databases",
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tools=[
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const CB_PASSWORD = "password";
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const rootAgent = new LlmAgent({
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model: "gemini-2.5-pro",
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model: "gemini-flash-latest",
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name: "couchbase_agent",
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instruction: "Help users explore and query Couchbase databases",
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tools: [

‎docs/integrations/daytona.md‎

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@@ -50,7 +50,7 @@ plugin = DaytonaPlugin(
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)
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root_agent = Agent(
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model="gemini-2.5-pro",
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model="gemini-flash-latest",
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name="sandbox_agent",
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instruction="Help users execute code and commands in a secure sandbox",
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tools=plugin.get_tools(),

‎docs/integrations/elevenlabs.md‎

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@@ -57,7 +57,7 @@ AI experiences using natural language.
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ELEVENLABS_API_KEY = "YOUR_ELEVENLABS_API_KEY"
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root_agent = Agent(
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model="gemini-2.5-pro",
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model="gemini-flash-latest",
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name="elevenlabs_agent",
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instruction="Help users generate speech, clone voices, and process audio",
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tools=[
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const ELEVENLABS_API_KEY = "YOUR_ELEVENLABS_API_KEY";
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const rootAgent = new LlmAgent({
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model: "gemini-2.5-pro",
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model: "gemini-flash-latest",
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name: "elevenlabs_agent",
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instruction: "Help users generate speech, clone voices, and process audio",
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tools: [

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