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v0.19.1
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demo-inclu
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|---|---|---|---|
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49
.hugo/layouts/shortcodes/snippet.html
Normal file
49
.hugo/layouts/shortcodes/snippet.html
Normal file
@@ -0,0 +1,49 @@
|
||||
{{/*
|
||||
snippet.html
|
||||
Usage:
|
||||
{{< snippet "filename.md" "region_name" >}}
|
||||
{{< snippet "filename.python" "region_name" "python" >}}
|
||||
*/}}
|
||||
|
||||
{{ $file := .Get 0 }}
|
||||
{{ $region := .Get 1 }}
|
||||
{{ $lang := .Get 2 | default "text" }}
|
||||
{{ $path := printf "%s%s" .Page.File.Dir $file }}
|
||||
|
||||
{{ if or (not $file) (eq $file "") }}
|
||||
{{ errorf "The file parameter (first argument) is required and must be non-empty in %s" .Page.File.Path }}
|
||||
{{ end }}
|
||||
{{ if or (not $region) (eq $region "") }}
|
||||
{{ errorf "The region parameter (second argument) is required and must be non-empty in %s" .Page.File.Path }}
|
||||
{{ end }}
|
||||
{{ if not (fileExists $path) }}
|
||||
{{ errorf "File %q not found (referenced in %s)" $path .Page.File.Path }}
|
||||
{{ end }}
|
||||
|
||||
{{ $content := readFile $path }}
|
||||
{{ $start_tag := printf "[START %s]" $region }}
|
||||
{{ $end_tag := printf "[END %s]" $region }}
|
||||
|
||||
{{ $snippet := "" }}
|
||||
{{ $in_snippet := false }}
|
||||
{{ range split $content "\n" }}
|
||||
{{ if $in_snippet }}
|
||||
{{ if in . $end_tag }}
|
||||
{{ $in_snippet = false }}
|
||||
{{ else }}
|
||||
{{ $snippet = printf "%s%s\n" $snippet . }}
|
||||
{{ end }}
|
||||
{{ else if in . $start_tag }}
|
||||
{{ $in_snippet = true }}
|
||||
{{ end }}
|
||||
{{ end }}
|
||||
|
||||
{{ if eq (trim $snippet "") "" }}
|
||||
{{ errorf "Region %q not found or empty in file %s (referenced in %s)" $region $file .Page.File.Path }}
|
||||
{{ end }}
|
||||
|
||||
{{ if eq $lang "text" }}
|
||||
{{ $snippet | markdownify }}
|
||||
{{ else }}
|
||||
{{ highlight (trim $snippet "\n") $lang "" }}
|
||||
{{ end }}
|
||||
@@ -18,6 +18,7 @@ This guide assumes you have already done the following:
|
||||
1. Installed [PostgreSQL 16+ and the `psql` client][install-postgres].
|
||||
|
||||
### Cloud Setup (Optional)
|
||||
<!-- [START cloud_setup] -->
|
||||
|
||||
If you plan to use **Google Cloud’s Vertex AI** with your agent (e.g., using
|
||||
`vertexai=True` or a Google GenAI model), follow these one-time setup steps for
|
||||
@@ -36,8 +37,10 @@ local development:
|
||||
[install-pip]: https://pip.pypa.io/en/stable/installation/
|
||||
[install-venv]: https://packaging.python.org/en/latest/tutorials/installing-packages/#creating-virtual-environments
|
||||
[install-postgres]: https://www.postgresql.org/download/
|
||||
<!-- [END cloud_setup] -->
|
||||
|
||||
## Step 1: Set up your database
|
||||
<!-- [START database_setup] -->
|
||||
|
||||
In this section, we will create a database, insert some data that needs to be
|
||||
accessed by our agent, and create a database user for Toolbox to connect with.
|
||||
@@ -155,8 +158,11 @@ postgres` and a password next time.
|
||||
```bash
|
||||
\q
|
||||
```
|
||||
<!-- [END database_setup] -->
|
||||
|
||||
|
||||
## Step 2: Install and configure Toolbox
|
||||
<!-- [START configure_toolbox] -->
|
||||
|
||||
In this section, we will download Toolbox, configure our tools in a
|
||||
`tools.yaml`, and then run the Toolbox server.
|
||||
@@ -278,6 +284,8 @@ In this section, we will download Toolbox, configure our tools in a
|
||||
`--disable-reload` flag.
|
||||
{{< /notice >}}
|
||||
|
||||
<!-- [END configure_toolbox] -->
|
||||
|
||||
## Step 3: Connect your agent to Toolbox
|
||||
|
||||
In this section, we will write and run an agent that will load the Tools
|
||||
@@ -346,306 +354,16 @@ pip install google-genai
|
||||
code to create an agent:
|
||||
{{< tabpane persist=header >}}
|
||||
{{< tab header="ADK" lang="python" >}}
|
||||
from google.adk.agents import Agent
|
||||
from google.adk.runners import Runner
|
||||
from google.adk.sessions import InMemorySessionService
|
||||
from google.adk.artifacts.in_memory_artifact_service import InMemoryArtifactService
|
||||
from google.genai import types
|
||||
from toolbox_core import ToolboxSyncClient
|
||||
|
||||
import asyncio
|
||||
import os
|
||||
|
||||
# TODO(developer): replace this with your Google API key
|
||||
|
||||
os.environ['GOOGLE_API_KEY'] = 'your-api-key'
|
||||
|
||||
async def main():
|
||||
with ToolboxSyncClient("<http://127.0.0.1:5000>") as toolbox_client:
|
||||
|
||||
prompt = """
|
||||
You're a helpful hotel assistant. You handle hotel searching, booking and
|
||||
cancellations. When the user searches for a hotel, mention it's name, id,
|
||||
location and price tier. Always mention hotel ids while performing any
|
||||
searches. This is very important for any operations. For any bookings or
|
||||
cancellations, please provide the appropriate confirmation. Be sure to
|
||||
update checkin or checkout dates if mentioned by the user.
|
||||
Don't ask for confirmations from the user.
|
||||
"""
|
||||
|
||||
root_agent = Agent(
|
||||
model='gemini-2.0-flash-001',
|
||||
name='hotel_agent',
|
||||
description='A helpful AI assistant.',
|
||||
instruction=prompt,
|
||||
tools=toolbox_client.load_toolset("my-toolset"),
|
||||
)
|
||||
|
||||
session_service = InMemorySessionService()
|
||||
artifacts_service = InMemoryArtifactService()
|
||||
session = await session_service.create_session(
|
||||
state={}, app_name='hotel_agent', user_id='123'
|
||||
)
|
||||
runner = Runner(
|
||||
app_name='hotel_agent',
|
||||
agent=root_agent,
|
||||
artifact_service=artifacts_service,
|
||||
session_service=session_service,
|
||||
)
|
||||
|
||||
queries = [
|
||||
"Find hotels in Basel with Basel in its name.",
|
||||
"Can you book the Hilton Basel for me?",
|
||||
"Oh wait, this is too expensive. Please cancel it and book the Hyatt Regency instead.",
|
||||
"My check in dates would be from April 10, 2024 to April 19, 2024.",
|
||||
]
|
||||
|
||||
for query in queries:
|
||||
content = types.Content(role='user', parts=[types.Part(text=query)])
|
||||
events = runner.run(session_id=session.id,
|
||||
user_id='123', new_message=content)
|
||||
|
||||
responses = (
|
||||
part.text
|
||||
for event in events
|
||||
for part in event.content.parts
|
||||
if part.text is not None
|
||||
)
|
||||
|
||||
for text in responses:
|
||||
print(text)
|
||||
|
||||
asyncio.run(main())
|
||||
{{< include "quickstart/python/adk/quickstart.py" >}}
|
||||
{{< /tab >}}
|
||||
{{< tab header="LangChain" lang="python" >}}
|
||||
import asyncio
|
||||
|
||||
from langgraph.prebuilt import create_react_agent
|
||||
|
||||
# TODO(developer): replace this with another import if needed
|
||||
|
||||
from langchain_google_vertexai import ChatVertexAI
|
||||
|
||||
# from langchain_google_genai import ChatGoogleGenerativeAI
|
||||
|
||||
# from langchain_anthropic import ChatAnthropic
|
||||
|
||||
from langgraph.checkpoint.memory import MemorySaver
|
||||
|
||||
from toolbox_langchain import ToolboxClient
|
||||
|
||||
prompt = """
|
||||
You're a helpful hotel assistant. You handle hotel searching, booking and
|
||||
cancellations. When the user searches for a hotel, mention it's name, id,
|
||||
location and price tier. Always mention hotel ids while performing any
|
||||
searches. This is very important for any operations. For any bookings or
|
||||
cancellations, please provide the appropriate confirmation. Be sure to
|
||||
update checkin or checkout dates if mentioned by the user.
|
||||
Don't ask for confirmations from the user.
|
||||
"""
|
||||
|
||||
queries = [
|
||||
"Find hotels in Basel with Basel in its name.",
|
||||
"Can you book the Hilton Basel for me?",
|
||||
"Oh wait, this is too expensive. Please cancel it and book the Hyatt Regency instead.",
|
||||
"My check in dates would be from April 10, 2024 to April 19, 2024.",
|
||||
]
|
||||
|
||||
async def run_application():
|
||||
# TODO(developer): replace this with another model if needed
|
||||
model = ChatVertexAI(model_name="gemini-2.0-flash-001")
|
||||
# model = ChatGoogleGenerativeAI(model="gemini-2.0-flash-001")
|
||||
# model = ChatAnthropic(model="claude-3-5-sonnet-20240620")
|
||||
|
||||
# Load the tools from the Toolbox server
|
||||
async with ToolboxClient("http://127.0.0.1:5000") as client:
|
||||
tools = await client.aload_toolset()
|
||||
|
||||
agent = create_react_agent(model, tools, checkpointer=MemorySaver())
|
||||
|
||||
config = {"configurable": {"thread_id": "thread-1"}}
|
||||
for query in queries:
|
||||
inputs = {"messages": [("user", prompt + query)]}
|
||||
response = agent.invoke(inputs, stream_mode="values", config=config)
|
||||
print(response["messages"][-1].content)
|
||||
|
||||
asyncio.run(run_application())
|
||||
{{< include "quickstart/python/langchain/quickstart.py" >}}
|
||||
{{< /tab >}}
|
||||
{{< tab header="LlamaIndex" lang="python" >}}
|
||||
import asyncio
|
||||
import os
|
||||
|
||||
from llama_index.core.agent.workflow import AgentWorkflow
|
||||
|
||||
from llama_index.core.workflow import Context
|
||||
|
||||
# TODO(developer): replace this with another import if needed
|
||||
|
||||
from llama_index.llms.google_genai import GoogleGenAI
|
||||
|
||||
# from llama_index.llms.anthropic import Anthropic
|
||||
|
||||
from toolbox_llamaindex import ToolboxClient
|
||||
|
||||
prompt = """
|
||||
You're a helpful hotel assistant. You handle hotel searching, booking and
|
||||
cancellations. When the user searches for a hotel, mention it's name, id,
|
||||
location and price tier. Always mention hotel ids while performing any
|
||||
searches. This is very important for any operations. For any bookings or
|
||||
cancellations, please provide the appropriate confirmation. Be sure to
|
||||
update checkin or checkout dates if mentioned by the user.
|
||||
Don't ask for confirmations from the user.
|
||||
"""
|
||||
|
||||
queries = [
|
||||
"Find hotels in Basel with Basel in its name.",
|
||||
"Can you book the Hilton Basel for me?",
|
||||
"Oh wait, this is too expensive. Please cancel it and book the Hyatt Regency instead.",
|
||||
"My check in dates would be from April 10, 2024 to April 19, 2024.",
|
||||
]
|
||||
|
||||
async def run_application():
|
||||
# TODO(developer): replace this with another model if needed
|
||||
llm = GoogleGenAI(
|
||||
model="gemini-2.0-flash-001",
|
||||
vertexai_config={"project": "project-id", "location": "us-central1"},
|
||||
)
|
||||
# llm = GoogleGenAI(
|
||||
# api_key=os.getenv("GOOGLE_API_KEY"),
|
||||
# model="gemini-2.0-flash-001",
|
||||
# )
|
||||
# llm = Anthropic(
|
||||
# model="claude-3-7-sonnet-latest",
|
||||
# api_key=os.getenv("ANTHROPIC_API_KEY")
|
||||
# )
|
||||
|
||||
# Load the tools from the Toolbox server
|
||||
async with ToolboxClient("http://127.0.0.1:5000") as client:
|
||||
tools = await client.aload_toolset()
|
||||
|
||||
agent = AgentWorkflow.from_tools_or_functions(
|
||||
tools,
|
||||
llm=llm,
|
||||
system_prompt=prompt,
|
||||
)
|
||||
ctx = Context(agent)
|
||||
for query in queries:
|
||||
response = await agent.run(user_msg=query, ctx=ctx)
|
||||
print(f"---- {query} ----")
|
||||
print(str(response))
|
||||
|
||||
asyncio.run(run_application())
|
||||
{{< include "quickstart/python/llamaindex/quickstart.py" >}}
|
||||
{{< /tab >}}
|
||||
{{< tab header="Core" lang="python" >}}
|
||||
import asyncio
|
||||
|
||||
from google import genai
|
||||
from google.genai.types import (
|
||||
Content,
|
||||
FunctionDeclaration,
|
||||
GenerateContentConfig,
|
||||
Part,
|
||||
Tool,
|
||||
)
|
||||
|
||||
from toolbox_core import ToolboxClient
|
||||
|
||||
prompt = """
|
||||
You're a helpful hotel assistant. You handle hotel searching, booking and
|
||||
cancellations. When the user searches for a hotel, mention it's name, id,
|
||||
location and price tier. Always mention hotel id while performing any
|
||||
searches. This is very important for any operations. For any bookings or
|
||||
cancellations, please provide the appropriate confirmation. Be sure to
|
||||
update checkin or checkout dates if mentioned by the user.
|
||||
Don't ask for confirmations from the user.
|
||||
"""
|
||||
|
||||
queries = [
|
||||
"Find hotels in Basel with Basel in its name.",
|
||||
"Please book the hotel Hilton Basel for me.",
|
||||
"This is too expensive. Please cancel it.",
|
||||
"Please book Hyatt Regency for me",
|
||||
"My check in dates for my booking would be from April 10, 2024 to April 19, 2024.",
|
||||
]
|
||||
|
||||
async def run_application():
|
||||
async with ToolboxClient("<http://127.0.0.1:5000>") as toolbox_client:
|
||||
|
||||
# The toolbox_tools list contains Python callables (functions/methods) designed for LLM tool-use
|
||||
# integration. While this example uses Google's genai client, these callables can be adapted for
|
||||
# various function-calling or agent frameworks. For easier integration with supported frameworks
|
||||
# (https://github.com/googleapis/mcp-toolbox-python-sdk/tree/main/packages), use the
|
||||
# provided wrapper packages, which handle framework-specific boilerplate.
|
||||
toolbox_tools = await toolbox_client.load_toolset("my-toolset")
|
||||
genai_client = genai.Client(
|
||||
vertexai=True, project="project-id", location="us-central1"
|
||||
)
|
||||
|
||||
genai_tools = [
|
||||
Tool(
|
||||
function_declarations=[
|
||||
FunctionDeclaration.from_callable_with_api_option(callable=tool)
|
||||
]
|
||||
)
|
||||
for tool in toolbox_tools
|
||||
]
|
||||
history = []
|
||||
for query in queries:
|
||||
user_prompt_content = Content(
|
||||
role="user",
|
||||
parts=[Part.from_text(text=query)],
|
||||
)
|
||||
history.append(user_prompt_content)
|
||||
|
||||
response = genai_client.models.generate_content(
|
||||
model="gemini-2.0-flash-001",
|
||||
contents=history,
|
||||
config=GenerateContentConfig(
|
||||
system_instruction=prompt,
|
||||
tools=genai_tools,
|
||||
),
|
||||
)
|
||||
history.append(response.candidates[0].content)
|
||||
function_response_parts = []
|
||||
for function_call in response.function_calls:
|
||||
fn_name = function_call.name
|
||||
# The tools are sorted alphabetically
|
||||
if fn_name == "search-hotels-by-name":
|
||||
function_result = await toolbox_tools[3](**function_call.args)
|
||||
elif fn_name == "search-hotels-by-location":
|
||||
function_result = await toolbox_tools[2](**function_call.args)
|
||||
elif fn_name == "book-hotel":
|
||||
function_result = await toolbox_tools[0](**function_call.args)
|
||||
elif fn_name == "update-hotel":
|
||||
function_result = await toolbox_tools[4](**function_call.args)
|
||||
elif fn_name == "cancel-hotel":
|
||||
function_result = await toolbox_tools[1](**function_call.args)
|
||||
else:
|
||||
raise ValueError("Function name not present.")
|
||||
function_response = {"result": function_result}
|
||||
function_response_part = Part.from_function_response(
|
||||
name=function_call.name,
|
||||
response=function_response,
|
||||
)
|
||||
function_response_parts.append(function_response_part)
|
||||
|
||||
if function_response_parts:
|
||||
tool_response_content = Content(role="tool", parts=function_response_parts)
|
||||
history.append(tool_response_content)
|
||||
|
||||
response2 = genai_client.models.generate_content(
|
||||
model="gemini-2.0-flash-001",
|
||||
contents=history,
|
||||
config=GenerateContentConfig(
|
||||
tools=genai_tools,
|
||||
),
|
||||
)
|
||||
final_model_response_content = response2.candidates[0].content
|
||||
history.append(final_model_response_content)
|
||||
print(response2.text)
|
||||
|
||||
asyncio.run(run_application())
|
||||
|
||||
{{< include "quickstart/python/core/quickstart.py" >}}
|
||||
{{< /tab >}}
|
||||
{{< /tabpane >}}
|
||||
|
||||
|
||||
@@ -13,266 +13,17 @@ This guide assumes you have already done the following:
|
||||
1. Installed [Go (v1.24.2 or higher)].
|
||||
1. Installed [PostgreSQL 16+ and the `psql` client][install-postgres].
|
||||
|
||||
### Cloud Setup (Optional)
|
||||
|
||||
If you plan to use **Google Cloud’s Vertex AI** with your agent (e.g., using
|
||||
Gemini or PaLM models), follow these one-time setup steps:
|
||||
|
||||
1. [Install the Google Cloud CLI]
|
||||
1. [Set up Application Default Credentials (ADC)]
|
||||
1. Set your project and enable Vertex AI
|
||||
|
||||
```bash
|
||||
gcloud config set project YOUR_PROJECT_ID
|
||||
gcloud services enable aiplatform.googleapis.com
|
||||
```
|
||||
|
||||
[Go (v1.24.2 or higher)]: https://go.dev/doc/install
|
||||
[install-postgres]: https://www.postgresql.org/download/
|
||||
[Install the Google Cloud CLI]: https://cloud.google.com/sdk/docs/install
|
||||
[Set up Application Default Credentials (ADC)]:
|
||||
https://cloud.google.com/docs/authentication/set-up-adc-local-dev-environment
|
||||
|
||||
### Cloud Setup (Optional)
|
||||
{{< snippet "local_quickstart.md" "cloud_setup" >}}
|
||||
|
||||
## Step 1: Set up your database
|
||||
|
||||
In this section, we will create a database, insert some data that needs to be
|
||||
accessed by our agent, and create a database user for Toolbox to connect with.
|
||||
|
||||
1. Connect to postgres using the `psql` command:
|
||||
|
||||
```bash
|
||||
psql -h 127.0.0.1 -U postgres
|
||||
```
|
||||
|
||||
Here, `postgres` denotes the default postgres superuser.
|
||||
|
||||
{{< notice info >}}
|
||||
|
||||
#### **Having trouble connecting?**
|
||||
|
||||
* **Password Prompt:** If you are prompted for a password for the `postgres`
|
||||
user and do not know it (or a blank password doesn't work), your PostgreSQL
|
||||
installation might require a password or a different authentication method.
|
||||
* **`FATAL: role "postgres" does not exist`:** This error means the default
|
||||
`postgres` superuser role isn't available under that name on your system.
|
||||
* **`Connection refused`:** Ensure your PostgreSQL server is actually running.
|
||||
You can typically check with `sudo systemctl status postgresql` and start it
|
||||
with `sudo systemctl start postgresql` on Linux systems.
|
||||
|
||||
<br/>
|
||||
|
||||
#### **Common Solution**
|
||||
|
||||
For password issues or if the `postgres` role seems inaccessible directly, try
|
||||
switching to the `postgres` operating system user first. This user often has
|
||||
permission to connect without a password for local connections (this is called
|
||||
peer authentication).
|
||||
|
||||
```bash
|
||||
sudo -i -u postgres
|
||||
psql -h 127.0.0.1
|
||||
```
|
||||
|
||||
Once you are in the `psql` shell using this method, you can proceed with the
|
||||
database creation steps below. Afterwards, type `\q` to exit `psql`, and then
|
||||
`exit` to return to your normal user shell.
|
||||
|
||||
If desired, once connected to `psql` as the `postgres` OS user, you can set a
|
||||
password for the `postgres` *database* user using: `ALTER USER postgres WITH
|
||||
PASSWORD 'your_chosen_password';`. This would allow direct connection with `-U
|
||||
postgres` and a password next time.
|
||||
{{< /notice >}}
|
||||
|
||||
1. Create a new database and a new user:
|
||||
|
||||
{{< notice tip >}}
|
||||
For a real application, it's best to follow the principle of least permission
|
||||
and only grant the privileges your application needs.
|
||||
{{< /notice >}}
|
||||
|
||||
```sql
|
||||
CREATE USER toolbox_user WITH PASSWORD 'my-password';
|
||||
|
||||
CREATE DATABASE toolbox_db;
|
||||
GRANT ALL PRIVILEGES ON DATABASE toolbox_db TO toolbox_user;
|
||||
|
||||
ALTER DATABASE toolbox_db OWNER TO toolbox_user;
|
||||
```
|
||||
|
||||
1. End the database session:
|
||||
|
||||
```bash
|
||||
\q
|
||||
```
|
||||
|
||||
(If you used `sudo -i -u postgres` and then `psql`, remember you might also
|
||||
need to type `exit` after `\q` to leave the `postgres` user's shell
|
||||
session.)
|
||||
|
||||
1. Connect to your database with your new user:
|
||||
|
||||
```bash
|
||||
psql -h 127.0.0.1 -U toolbox_user -d toolbox_db
|
||||
```
|
||||
|
||||
1. Create a table using the following command:
|
||||
|
||||
```sql
|
||||
CREATE TABLE hotels(
|
||||
id INTEGER NOT NULL PRIMARY KEY,
|
||||
name VARCHAR NOT NULL,
|
||||
location VARCHAR NOT NULL,
|
||||
price_tier VARCHAR NOT NULL,
|
||||
checkin_date DATE NOT NULL,
|
||||
checkout_date DATE NOT NULL,
|
||||
booked BIT NOT NULL
|
||||
);
|
||||
```
|
||||
|
||||
1. Insert data into the table.
|
||||
|
||||
```sql
|
||||
INSERT INTO hotels(id, name, location, price_tier, checkin_date, checkout_date, booked)
|
||||
VALUES
|
||||
(1, 'Hilton Basel', 'Basel', 'Luxury', '2024-04-22', '2024-04-20', B'0'),
|
||||
(2, 'Marriott Zurich', 'Zurich', 'Upscale', '2024-04-14', '2024-04-21', B'0'),
|
||||
(3, 'Hyatt Regency Basel', 'Basel', 'Upper Upscale', '2024-04-02', '2024-04-20', B'0'),
|
||||
(4, 'Radisson Blu Lucerne', 'Lucerne', 'Midscale', '2024-04-24', '2024-04-05', B'0'),
|
||||
(5, 'Best Western Bern', 'Bern', 'Upper Midscale', '2024-04-23', '2024-04-01', B'0'),
|
||||
(6, 'InterContinental Geneva', 'Geneva', 'Luxury', '2024-04-23', '2024-04-28', B'0'),
|
||||
(7, 'Sheraton Zurich', 'Zurich', 'Upper Upscale', '2024-04-27', '2024-04-02', B'0'),
|
||||
(8, 'Holiday Inn Basel', 'Basel', 'Upper Midscale', '2024-04-24', '2024-04-09', B'0'),
|
||||
(9, 'Courtyard Zurich', 'Zurich', 'Upscale', '2024-04-03', '2024-04-13', B'0'),
|
||||
(10, 'Comfort Inn Bern', 'Bern', 'Midscale', '2024-04-04', '2024-04-16', B'0');
|
||||
```
|
||||
|
||||
1. End the database session:
|
||||
|
||||
```bash
|
||||
\q
|
||||
```
|
||||
{{< snippet "local_quickstart.md" "database_setup" >}}
|
||||
|
||||
## Step 2: Install and configure Toolbox
|
||||
|
||||
In this section, we will download Toolbox, configure our tools in a
|
||||
`tools.yaml`, and then run the Toolbox server.
|
||||
|
||||
1. Download the latest version of Toolbox as a binary:
|
||||
|
||||
{{< notice tip >}}
|
||||
Select the
|
||||
[correct binary](https://github.com/googleapis/genai-toolbox/releases)
|
||||
corresponding to your OS and CPU architecture.
|
||||
{{< /notice >}}
|
||||
<!-- {x-release-please-start-version} -->
|
||||
```bash
|
||||
export OS="linux/amd64" # one of linux/amd64, darwin/arm64, darwin/amd64, or windows/amd64
|
||||
curl -O https://storage.googleapis.com/genai-toolbox/v0.12.0/$OS/toolbox
|
||||
```
|
||||
<!-- {x-release-please-end} -->
|
||||
|
||||
1. Make the binary executable:
|
||||
|
||||
```bash
|
||||
chmod +x toolbox
|
||||
```
|
||||
|
||||
1. Write the following into a `tools.yaml` file. Be sure to update any fields
|
||||
such as `user`, `password`, or `database` that you may have customized in the
|
||||
previous step.
|
||||
|
||||
{{< notice tip >}}
|
||||
In practice, use environment variable replacement with the format ${ENV_NAME}
|
||||
instead of hardcoding your secrets into the configuration file.
|
||||
{{< /notice >}}
|
||||
|
||||
```yaml
|
||||
sources:
|
||||
my-pg-source:
|
||||
kind: postgres
|
||||
host: 127.0.0.1
|
||||
port: 5432
|
||||
database: toolbox_db
|
||||
user: ${USER_NAME}
|
||||
password: ${PASSWORD}
|
||||
tools:
|
||||
search-hotels-by-name:
|
||||
kind: postgres-sql
|
||||
source: my-pg-source
|
||||
description: Search for hotels based on name.
|
||||
parameters:
|
||||
- name: name
|
||||
type: string
|
||||
description: The name of the hotel.
|
||||
statement: SELECT * FROM hotels WHERE name ILIKE '%' || $1 || '%';
|
||||
search-hotels-by-location:
|
||||
kind: postgres-sql
|
||||
source: my-pg-source
|
||||
description: Search for hotels based on location.
|
||||
parameters:
|
||||
- name: location
|
||||
type: string
|
||||
description: The location of the hotel.
|
||||
statement: SELECT * FROM hotels WHERE location ILIKE '%' || $1 || '%';
|
||||
book-hotel:
|
||||
kind: postgres-sql
|
||||
source: my-pg-source
|
||||
description: >-
|
||||
Book a hotel by its ID. If the hotel is successfully booked, returns a NULL, raises an error if not.
|
||||
parameters:
|
||||
- name: hotel_id
|
||||
type: string
|
||||
description: The ID of the hotel to book.
|
||||
statement: UPDATE hotels SET booked = B'1' WHERE id = $1;
|
||||
update-hotel:
|
||||
kind: postgres-sql
|
||||
source: my-pg-source
|
||||
description: >-
|
||||
Update a hotel's check-in and check-out dates by its ID. Returns a message
|
||||
indicating whether the hotel was successfully updated or not.
|
||||
parameters:
|
||||
- name: hotel_id
|
||||
type: string
|
||||
description: The ID of the hotel to update.
|
||||
- name: checkin_date
|
||||
type: string
|
||||
description: The new check-in date of the hotel.
|
||||
- name: checkout_date
|
||||
type: string
|
||||
description: The new check-out date of the hotel.
|
||||
statement: >-
|
||||
UPDATE hotels SET checkin_date = CAST($2 as date), checkout_date = CAST($3
|
||||
as date) WHERE id = $1;
|
||||
cancel-hotel:
|
||||
kind: postgres-sql
|
||||
source: my-pg-source
|
||||
description: Cancel a hotel by its ID.
|
||||
parameters:
|
||||
- name: hotel_id
|
||||
type: string
|
||||
description: The ID of the hotel to cancel.
|
||||
statement: UPDATE hotels SET booked = B'0' WHERE id = $1;
|
||||
toolsets:
|
||||
my-toolset:
|
||||
- search-hotels-by-name
|
||||
- search-hotels-by-location
|
||||
- book-hotel
|
||||
- update-hotel
|
||||
- cancel-hotel
|
||||
```
|
||||
|
||||
For more info on tools, check out the `Resources` section of the docs.
|
||||
|
||||
1. Run the Toolbox server, pointing to the `tools.yaml` file created earlier:
|
||||
|
||||
```bash
|
||||
./toolbox --tools-file "tools.yaml"
|
||||
```
|
||||
|
||||
{{< notice note >}}
|
||||
Toolbox enables dynamic reloading by default. To disable, use the
|
||||
`--disable-reload` flag.
|
||||
{{< /notice >}}
|
||||
{{< snippet "local_quickstart.md" "configure_toolbox" >}}
|
||||
|
||||
## Step 3: Connect your agent to Toolbox
|
||||
|
||||
|
||||
@@ -13,265 +13,19 @@ This guide assumes you have already done the following:
|
||||
1. Installed [Node.js (v18 or higher)].
|
||||
1. Installed [PostgreSQL 16+ and the `psql` client][install-postgres].
|
||||
|
||||
### Cloud Setup (Optional)
|
||||
|
||||
If you plan to use **Google Cloud’s Vertex AI** with your agent (e.g., using
|
||||
Gemini or PaLM models), follow these one-time setup steps:
|
||||
|
||||
1. [Install the Google Cloud CLI]
|
||||
1. [Set up Application Default Credentials (ADC)]
|
||||
1. Set your project and enable Vertex AI
|
||||
|
||||
```bash
|
||||
gcloud config set project YOUR_PROJECT_ID
|
||||
gcloud services enable aiplatform.googleapis.com
|
||||
```
|
||||
|
||||
[Node.js (v18 or higher)]: https://nodejs.org/
|
||||
[install-postgres]: https://www.postgresql.org/download/
|
||||
[Install the Google Cloud CLI]: https://cloud.google.com/sdk/docs/install
|
||||
[Set up Application Default Credentials (ADC)]:
|
||||
https://cloud.google.com/docs/authentication/set-up-adc-local-dev-environment
|
||||
|
||||
### Cloud Setup (Optional)
|
||||
{{< snippet "local_quickstart.md" "cloud_setup" >}}
|
||||
|
||||
{{< snippet "test.py" "demo" "py" >}}
|
||||
|
||||
## Step 1: Set up your database
|
||||
|
||||
In this section, we will create a database, insert some data that needs to be
|
||||
accessed by our agent, and create a database user for Toolbox to connect with.
|
||||
|
||||
1. Connect to postgres using the `psql` command:
|
||||
|
||||
```bash
|
||||
psql -h 127.0.0.1 -U postgres
|
||||
```
|
||||
|
||||
Here, `postgres` denotes the default postgres superuser.
|
||||
|
||||
{{< notice info >}}
|
||||
|
||||
#### **Having trouble connecting?**
|
||||
|
||||
* **Password Prompt:** If you are prompted for a password for the `postgres`
|
||||
user and do not know it (or a blank password doesn't work), your PostgreSQL
|
||||
installation might require a password or a different authentication method.
|
||||
* **`FATAL: role "postgres" does not exist`:** This error means the default
|
||||
`postgres` superuser role isn't available under that name on your system.
|
||||
* **`Connection refused`:** Ensure your PostgreSQL server is actually running.
|
||||
You can typically check with `sudo systemctl status postgresql` and start it
|
||||
with `sudo systemctl start postgresql` on Linux systems.
|
||||
|
||||
<br/>
|
||||
|
||||
#### **Common Solution**
|
||||
|
||||
For password issues or if the `postgres` role seems inaccessible directly, try
|
||||
switching to the `postgres` operating system user first. This user often has
|
||||
permission to connect without a password for local connections (this is called
|
||||
peer authentication).
|
||||
|
||||
```bash
|
||||
sudo -i -u postgres
|
||||
psql -h 127.0.0.1
|
||||
```
|
||||
|
||||
Once you are in the `psql` shell using this method, you can proceed with the
|
||||
database creation steps below. Afterwards, type `\q` to exit `psql`, and then
|
||||
`exit` to return to your normal user shell.
|
||||
|
||||
If desired, once connected to `psql` as the `postgres` OS user, you can set a
|
||||
password for the `postgres` *database* user using: `ALTER USER postgres WITH
|
||||
PASSWORD 'your_chosen_password';`. This would allow direct connection with `-U
|
||||
postgres` and a password next time.
|
||||
{{< /notice >}}
|
||||
|
||||
1. Create a new database and a new user:
|
||||
|
||||
{{< notice tip >}}
|
||||
For a real application, it's best to follow the principle of least permission
|
||||
and only grant the privileges your application needs.
|
||||
{{< /notice >}}
|
||||
|
||||
```sql
|
||||
CREATE USER toolbox_user WITH PASSWORD 'my-password';
|
||||
|
||||
CREATE DATABASE toolbox_db;
|
||||
GRANT ALL PRIVILEGES ON DATABASE toolbox_db TO toolbox_user;
|
||||
|
||||
ALTER DATABASE toolbox_db OWNER TO toolbox_user;
|
||||
```
|
||||
|
||||
1. End the database session:
|
||||
|
||||
```bash
|
||||
\q
|
||||
```
|
||||
|
||||
(If you used `sudo -i -u postgres` and then `psql`, remember you might also
|
||||
need to type `exit` after `\q` to leave the `postgres` user's shell
|
||||
session.)
|
||||
|
||||
1. Connect to your database with your new user:
|
||||
|
||||
```bash
|
||||
psql -h 127.0.0.1 -U toolbox_user -d toolbox_db
|
||||
```
|
||||
|
||||
1. Create a table using the following command:
|
||||
|
||||
```sql
|
||||
CREATE TABLE hotels(
|
||||
id INTEGER NOT NULL PRIMARY KEY,
|
||||
name VARCHAR NOT NULL,
|
||||
location VARCHAR NOT NULL,
|
||||
price_tier VARCHAR NOT NULL,
|
||||
checkin_date DATE NOT NULL,
|
||||
checkout_date DATE NOT NULL,
|
||||
booked BIT NOT NULL
|
||||
);
|
||||
```
|
||||
|
||||
1. Insert data into the table.
|
||||
|
||||
```sql
|
||||
INSERT INTO hotels(id, name, location, price_tier, checkin_date, checkout_date, booked)
|
||||
VALUES
|
||||
(1, 'Hilton Basel', 'Basel', 'Luxury', '2024-04-22', '2024-04-20', B'0'),
|
||||
(2, 'Marriott Zurich', 'Zurich', 'Upscale', '2024-04-14', '2024-04-21', B'0'),
|
||||
(3, 'Hyatt Regency Basel', 'Basel', 'Upper Upscale', '2024-04-02', '2024-04-20', B'0'),
|
||||
(4, 'Radisson Blu Lucerne', 'Lucerne', 'Midscale', '2024-04-24', '2024-04-05', B'0'),
|
||||
(5, 'Best Western Bern', 'Bern', 'Upper Midscale', '2024-04-23', '2024-04-01', B'0'),
|
||||
(6, 'InterContinental Geneva', 'Geneva', 'Luxury', '2024-04-23', '2024-04-28', B'0'),
|
||||
(7, 'Sheraton Zurich', 'Zurich', 'Upper Upscale', '2024-04-27', '2024-04-02', B'0'),
|
||||
(8, 'Holiday Inn Basel', 'Basel', 'Upper Midscale', '2024-04-24', '2024-04-09', B'0'),
|
||||
(9, 'Courtyard Zurich', 'Zurich', 'Upscale', '2024-04-03', '2024-04-13', B'0'),
|
||||
(10, 'Comfort Inn Bern', 'Bern', 'Midscale', '2024-04-04', '2024-04-16', B'0');
|
||||
```
|
||||
|
||||
1. End the database session:
|
||||
|
||||
```bash
|
||||
\q
|
||||
```
|
||||
{{< snippet "local_quickstart.md" "database_setup" >}}
|
||||
|
||||
## Step 2: Install and configure Toolbox
|
||||
|
||||
In this section, we will download Toolbox, configure our tools in a
|
||||
`tools.yaml`, and then run the Toolbox server.
|
||||
|
||||
1. Download the latest version of Toolbox as a binary:
|
||||
|
||||
{{< notice tip >}}
|
||||
Select the
|
||||
[correct binary](https://github.com/googleapis/genai-toolbox/releases)
|
||||
corresponding to your OS and CPU architecture.
|
||||
{{< /notice >}}
|
||||
<!-- {x-release-please-start-version} -->
|
||||
```bash
|
||||
export OS="linux/amd64" # one of linux/amd64, darwin/arm64, darwin/amd64, or windows/amd64
|
||||
curl -O https://storage.googleapis.com/genai-toolbox/v0.12.0/$OS/toolbox
|
||||
```
|
||||
<!-- {x-release-please-end} -->
|
||||
|
||||
1. Make the binary executable:
|
||||
|
||||
```bash
|
||||
chmod +x toolbox
|
||||
```
|
||||
|
||||
1. Write the following into a `tools.yaml` file. Be sure to update any fields
|
||||
such as `user`, `password`, or `database` that you may have customized in the
|
||||
previous step.
|
||||
|
||||
{{< notice tip >}}
|
||||
In practice, use environment variable replacement with the format ${ENV_NAME}
|
||||
instead of hardcoding your secrets into the configuration file.
|
||||
{{< /notice >}}
|
||||
|
||||
```yaml
|
||||
sources:
|
||||
my-pg-source:
|
||||
kind: postgres
|
||||
host: 127.0.0.1
|
||||
port: 5432
|
||||
database: toolbox_db
|
||||
user: ${USER_NAME}
|
||||
password: ${PASSWORD}
|
||||
tools:
|
||||
search-hotels-by-name:
|
||||
kind: postgres-sql
|
||||
source: my-pg-source
|
||||
description: Search for hotels based on name.
|
||||
parameters:
|
||||
- name: name
|
||||
type: string
|
||||
description: The name of the hotel.
|
||||
statement: SELECT * FROM hotels WHERE name ILIKE '%' || $1 || '%';
|
||||
search-hotels-by-location:
|
||||
kind: postgres-sql
|
||||
source: my-pg-source
|
||||
description: Search for hotels based on location.
|
||||
parameters:
|
||||
- name: location
|
||||
type: string
|
||||
description: The location of the hotel.
|
||||
statement: SELECT * FROM hotels WHERE location ILIKE '%' || $1 || '%';
|
||||
book-hotel:
|
||||
kind: postgres-sql
|
||||
source: my-pg-source
|
||||
description: >-
|
||||
Book a hotel by its ID. If the hotel is successfully booked, returns a NULL, raises an error if not.
|
||||
parameters:
|
||||
- name: hotel_id
|
||||
type: string
|
||||
description: The ID of the hotel to book.
|
||||
statement: UPDATE hotels SET booked = B'1' WHERE id = $1;
|
||||
update-hotel:
|
||||
kind: postgres-sql
|
||||
source: my-pg-source
|
||||
description: >-
|
||||
Update a hotel's check-in and check-out dates by its ID. Returns a message
|
||||
indicating whether the hotel was successfully updated or not.
|
||||
parameters:
|
||||
- name: hotel_id
|
||||
type: string
|
||||
description: The ID of the hotel to update.
|
||||
- name: checkin_date
|
||||
type: string
|
||||
description: The new check-in date of the hotel.
|
||||
- name: checkout_date
|
||||
type: string
|
||||
description: The new check-out date of the hotel.
|
||||
statement: >-
|
||||
UPDATE hotels SET checkin_date = CAST($2 as date), checkout_date = CAST($3
|
||||
as date) WHERE id = $1;
|
||||
cancel-hotel:
|
||||
kind: postgres-sql
|
||||
source: my-pg-source
|
||||
description: Cancel a hotel by its ID.
|
||||
parameters:
|
||||
- name: hotel_id
|
||||
type: string
|
||||
description: The ID of the hotel to cancel.
|
||||
statement: UPDATE hotels SET booked = B'0' WHERE id = $1;
|
||||
toolsets:
|
||||
my-toolset:
|
||||
- search-hotels-by-name
|
||||
- search-hotels-by-location
|
||||
- book-hotel
|
||||
- update-hotel
|
||||
- cancel-hotel
|
||||
```
|
||||
|
||||
For more info on tools, check out the `Resources` section of the docs.
|
||||
|
||||
1. Run the Toolbox server, pointing to the `tools.yaml` file created earlier:
|
||||
|
||||
```bash
|
||||
./toolbox --tools-file "tools.yaml"
|
||||
```
|
||||
|
||||
{{< notice note >}}
|
||||
Toolbox enables dynamic reloading by default. To disable, use the `--disable-reload` flag.
|
||||
{{< /notice >}}
|
||||
{{< snippet "local_quickstart.md" "configure_toolbox" >}}
|
||||
|
||||
## Step 3: Connect your agent to Toolbox
|
||||
|
||||
|
||||
70
docs/en/getting-started/quickstart/python/adk/quickstart.py
Normal file
70
docs/en/getting-started/quickstart/python/adk/quickstart.py
Normal file
@@ -0,0 +1,70 @@
|
||||
from google.adk.agents import Agent
|
||||
from google.adk.runners import Runner
|
||||
from google.adk.sessions import InMemorySessionService
|
||||
from google.adk.artifacts.in_memory_artifact_service import InMemoryArtifactService
|
||||
from google.genai import types
|
||||
from toolbox_core import ToolboxSyncClient
|
||||
|
||||
import asyncio
|
||||
import os
|
||||
|
||||
# TODO(developer): replace this with your Google API key
|
||||
|
||||
os.environ['GOOGLE_API_KEY'] = 'your-api-key'
|
||||
|
||||
async def main():
|
||||
with ToolboxSyncClient("<http://127.0.0.1:5000>") as toolbox_client:
|
||||
|
||||
prompt = """
|
||||
You're a helpful hotel assistant. You handle hotel searching, booking and
|
||||
cancellations. When the user searches for a hotel, mention it's name, id,
|
||||
location and price tier. Always mention hotel ids while performing any
|
||||
searches. This is very important for any operations. For any bookings or
|
||||
cancellations, please provide the appropriate confirmation. Be sure to
|
||||
update checkin or checkout dates if mentioned by the user.
|
||||
Don't ask for confirmations from the user.
|
||||
"""
|
||||
|
||||
root_agent = Agent(
|
||||
model='gemini-2.0-flash-001',
|
||||
name='hotel_agent',
|
||||
description='A helpful AI assistant.',
|
||||
instruction=prompt,
|
||||
tools=toolbox_client.load_toolset("my-toolset"),
|
||||
)
|
||||
|
||||
session_service = InMemorySessionService()
|
||||
artifacts_service = InMemoryArtifactService()
|
||||
session = await session_service.create_session(
|
||||
state={}, app_name='hotel_agent', user_id='123'
|
||||
)
|
||||
runner = Runner(
|
||||
app_name='hotel_agent',
|
||||
agent=root_agent,
|
||||
artifact_service=artifacts_service,
|
||||
session_service=session_service,
|
||||
)
|
||||
|
||||
queries = [
|
||||
"Find hotels in Basel with Basel in its name.",
|
||||
"Can you book the Hilton Basel for me?",
|
||||
"Oh wait, this is too expensive. Please cancel it and book the Hyatt Regency instead.",
|
||||
"My check in dates would be from April 10, 2024 to April 19, 2024.",
|
||||
]
|
||||
|
||||
for query in queries:
|
||||
content = types.Content(role='user', parts=[types.Part(text=query)])
|
||||
events = runner.run(session_id=session.id,
|
||||
user_id='123', new_message=content)
|
||||
|
||||
responses = (
|
||||
part.text
|
||||
for event in events
|
||||
for part in event.content.parts
|
||||
if part.text is not None
|
||||
)
|
||||
|
||||
for text in responses:
|
||||
print(text)
|
||||
|
||||
asyncio.run(main())
|
||||
108
docs/en/getting-started/quickstart/python/core/quickstart.py
Normal file
108
docs/en/getting-started/quickstart/python/core/quickstart.py
Normal file
@@ -0,0 +1,108 @@
|
||||
import asyncio
|
||||
|
||||
from google import genai
|
||||
from google.genai.types import (
|
||||
Content,
|
||||
FunctionDeclaration,
|
||||
GenerateContentConfig,
|
||||
Part,
|
||||
Tool,
|
||||
)
|
||||
|
||||
from toolbox_core import ToolboxClient
|
||||
|
||||
prompt = """
|
||||
You're a helpful hotel assistant. You handle hotel searching, booking and
|
||||
cancellations. When the user searches for a hotel, mention it's name, id,
|
||||
location and price tier. Always mention hotel id while performing any
|
||||
searches. This is very important for any operations. For any bookings or
|
||||
cancellations, please provide the appropriate confirmation. Be sure to
|
||||
update checkin or checkout dates if mentioned by the user.
|
||||
Don't ask for confirmations from the user.
|
||||
"""
|
||||
|
||||
queries = [
|
||||
"Find hotels in Basel with Basel in its name.",
|
||||
"Please book the hotel Hilton Basel for me.",
|
||||
"This is too expensive. Please cancel it.",
|
||||
"Please book Hyatt Regency for me",
|
||||
"My check in dates for my booking would be from April 10, 2024 to April 19, 2024.",
|
||||
]
|
||||
|
||||
async def run_application():
|
||||
async with ToolboxClient("<http://127.0.0.1:5000>") as toolbox_client:
|
||||
|
||||
# The toolbox_tools list contains Python callables (functions/methods) designed for LLM tool-use
|
||||
# integration. While this example uses Google's genai client, these callables can be adapted for
|
||||
# various function-calling or agent frameworks. For easier integration with supported frameworks
|
||||
# (https://github.com/googleapis/mcp-toolbox-python-sdk/tree/main/packages), use the
|
||||
# provided wrapper packages, which handle framework-specific boilerplate.
|
||||
toolbox_tools = await toolbox_client.load_toolset("my-toolset")
|
||||
genai_client = genai.Client(
|
||||
vertexai=True, project="project-id", location="us-central1"
|
||||
)
|
||||
|
||||
genai_tools = [
|
||||
Tool(
|
||||
function_declarations=[
|
||||
FunctionDeclaration.from_callable_with_api_option(callable=tool)
|
||||
]
|
||||
)
|
||||
for tool in toolbox_tools
|
||||
]
|
||||
history = []
|
||||
for query in queries:
|
||||
user_prompt_content = Content(
|
||||
role="user",
|
||||
parts=[Part.from_text(text=query)],
|
||||
)
|
||||
history.append(user_prompt_content)
|
||||
|
||||
response = genai_client.models.generate_content(
|
||||
model="gemini-2.0-flash-001",
|
||||
contents=history,
|
||||
config=GenerateContentConfig(
|
||||
system_instruction=prompt,
|
||||
tools=genai_tools,
|
||||
),
|
||||
)
|
||||
history.append(response.candidates[0].content)
|
||||
function_response_parts = []
|
||||
for function_call in response.function_calls:
|
||||
fn_name = function_call.name
|
||||
# The tools are sorted alphabetically
|
||||
if fn_name == "search-hotels-by-name":
|
||||
function_result = await toolbox_tools[3](**function_call.args)
|
||||
elif fn_name == "search-hotels-by-location":
|
||||
function_result = await toolbox_tools[2](**function_call.args)
|
||||
elif fn_name == "book-hotel":
|
||||
function_result = await toolbox_tools[0](**function_call.args)
|
||||
elif fn_name == "update-hotel":
|
||||
function_result = await toolbox_tools[4](**function_call.args)
|
||||
elif fn_name == "cancel-hotel":
|
||||
function_result = await toolbox_tools[1](**function_call.args)
|
||||
else:
|
||||
raise ValueError("Function name not present.")
|
||||
function_response = {"result": function_result}
|
||||
function_response_part = Part.from_function_response(
|
||||
name=function_call.name,
|
||||
response=function_response,
|
||||
)
|
||||
function_response_parts.append(function_response_part)
|
||||
|
||||
if function_response_parts:
|
||||
tool_response_content = Content(role="tool", parts=function_response_parts)
|
||||
history.append(tool_response_content)
|
||||
|
||||
response2 = genai_client.models.generate_content(
|
||||
model="gemini-2.0-flash-001",
|
||||
contents=history,
|
||||
config=GenerateContentConfig(
|
||||
tools=genai_tools,
|
||||
),
|
||||
)
|
||||
final_model_response_content = response2.candidates[0].content
|
||||
history.append(final_model_response_content)
|
||||
print(response2.text)
|
||||
|
||||
asyncio.run(run_application())
|
||||
@@ -0,0 +1,52 @@
|
||||
import asyncio
|
||||
|
||||
from langgraph.prebuilt import create_react_agent
|
||||
|
||||
# TODO(developer): replace this with another import if needed
|
||||
|
||||
from langchain_google_vertexai import ChatVertexAI
|
||||
|
||||
# from langchain_google_genai import ChatGoogleGenerativeAI
|
||||
|
||||
# from langchain_anthropic import ChatAnthropic
|
||||
|
||||
from langgraph.checkpoint.memory import MemorySaver
|
||||
|
||||
from toolbox_langchain import ToolboxClient
|
||||
|
||||
prompt = """
|
||||
You're a helpful hotel assistant. You handle hotel searching, booking and
|
||||
cancellations. When the user searches for a hotel, mention it's name, id,
|
||||
location and price tier. Always mention hotel ids while performing any
|
||||
searches. This is very important for any operations. For any bookings or
|
||||
cancellations, please provide the appropriate confirmation. Be sure to
|
||||
update checkin or checkout dates if mentioned by the user.
|
||||
Don't ask for confirmations from the user.
|
||||
"""
|
||||
|
||||
queries = [
|
||||
"Find hotels in Basel with Basel in its name.",
|
||||
"Can you book the Hilton Basel for me?",
|
||||
"Oh wait, this is too expensive. Please cancel it and book the Hyatt Regency instead.",
|
||||
"My check in dates would be from April 10, 2024 to April 19, 2024.",
|
||||
]
|
||||
|
||||
async def run_application():
|
||||
# TODO(developer): replace this with another model if needed
|
||||
model = ChatVertexAI(model_name="gemini-2.0-flash-001")
|
||||
# model = ChatGoogleGenerativeAI(model="gemini-2.0-flash-001")
|
||||
# model = ChatAnthropic(model="claude-3-5-sonnet-20240620")
|
||||
|
||||
# Load the tools from the Toolbox server
|
||||
async with ToolboxClient("http://127.0.0.1:5000") as client:
|
||||
tools = await client.aload_toolset()
|
||||
|
||||
agent = create_react_agent(model, tools, checkpointer=MemorySaver())
|
||||
|
||||
config = {"configurable": {"thread_id": "thread-1"}}
|
||||
for query in queries:
|
||||
inputs = {"messages": [("user", prompt + query)]}
|
||||
response = agent.invoke(inputs, stream_mode="values", config=config)
|
||||
print(response["messages"][-1].content)
|
||||
|
||||
asyncio.run(run_application())
|
||||
@@ -0,0 +1,63 @@
|
||||
import asyncio
|
||||
import os
|
||||
|
||||
from llama_index.core.agent.workflow import AgentWorkflow
|
||||
|
||||
from llama_index.core.workflow import Context
|
||||
|
||||
# TODO(developer): replace this with another import if needed
|
||||
|
||||
from llama_index.llms.google_genai import GoogleGenAI
|
||||
|
||||
# from llama_index.llms.anthropic import Anthropic
|
||||
|
||||
from toolbox_llamaindex import ToolboxClient
|
||||
|
||||
prompt = """
|
||||
You're a helpful hotel assistant. You handle hotel searching, booking and
|
||||
cancellations. When the user searches for a hotel, mention it's name, id,
|
||||
location and price tier. Always mention hotel ids while performing any
|
||||
searches. This is very important for any operations. For any bookings or
|
||||
cancellations, please provide the appropriate confirmation. Be sure to
|
||||
update checkin or checkout dates if mentioned by the user.
|
||||
Don't ask for confirmations from the user.
|
||||
"""
|
||||
|
||||
queries = [
|
||||
"Find hotels in Basel with Basel in its name.",
|
||||
"Can you book the Hilton Basel for me?",
|
||||
"Oh wait, this is too expensive. Please cancel it and book the Hyatt Regency instead.",
|
||||
"My check in dates would be from April 10, 2024 to April 19, 2024.",
|
||||
]
|
||||
|
||||
async def run_application():
|
||||
# TODO(developer): replace this with another model if needed
|
||||
llm = GoogleGenAI(
|
||||
model="gemini-2.0-flash-001",
|
||||
vertexai_config={"project": "project-id", "location": "us-central1"},
|
||||
)
|
||||
# llm = GoogleGenAI(
|
||||
# api_key=os.getenv("GOOGLE_API_KEY"),
|
||||
# model="gemini-2.0-flash-001",
|
||||
# )
|
||||
# llm = Anthropic(
|
||||
# model="claude-3-7-sonnet-latest",
|
||||
# api_key=os.getenv("ANTHROPIC_API_KEY")
|
||||
# )
|
||||
|
||||
# Load the tools from the Toolbox server
|
||||
async with ToolboxClient("http://127.0.0.1:5000") as client:
|
||||
tools = await client.aload_toolset()
|
||||
|
||||
agent = AgentWorkflow.from_tools_or_functions(
|
||||
tools,
|
||||
llm=llm,
|
||||
system_prompt=prompt,
|
||||
)
|
||||
ctx = Context(agent)
|
||||
for query in queries:
|
||||
response = await agent.run(user_msg=query, ctx=ctx)
|
||||
print(f"---- {query} ----")
|
||||
print(str(response))
|
||||
|
||||
asyncio.run(run_application())
|
||||
8
docs/en/getting-started/test.py
Normal file
8
docs/en/getting-started/test.py
Normal file
@@ -0,0 +1,8 @@
|
||||
# [START demo]
|
||||
a = 5
|
||||
b = 6
|
||||
# print('hello' + c)
|
||||
print ('This file is used for demo of include shortcodes')
|
||||
# [END demo]
|
||||
|
||||
|
||||
Reference in New Issue
Block a user