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...

4 Commits
1.2.0 ... 1.2.1

Author SHA1 Message Date
Lorenze Jay
5d6b4c922b feat: bump versions to 1.2.1 (#3800)
* feat: bump versions to 1.2.1

* updated templates too
2025-10-27 09:12:04 -07:00
Lucas Gomide
b07c0fc45c docs: describe mandatory env-var to call Platform tools for each integration (#3803) 2025-10-27 10:01:41 -04:00
Sam Brenner
97853199c7 Add Datadog Integration Documentation (#3642)
* add datadog llm observability integration guide

* spacing fix

* wording changes

* alphabetize docs listing

* Update docs/en/observability/datadog.mdx

Co-authored-by: Barry Eom <31739208+barieom@users.noreply.github.com>

* add translations

* fix korean code block

---------

Co-authored-by: Barry Eom <31739208+barieom@users.noreply.github.com>
Co-authored-by: Greyson LaLonde <greyson.r.lalonde@gmail.com>
2025-10-27 09:48:38 -04:00
Lorenze Jay
494ed7e671 liteagent supports apps and mcps (#3794)
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* liteagent supports apps and mcps

* generated cassettes for these
2025-10-24 18:42:08 -07:00
92 changed files with 2238 additions and 7 deletions

View File

@@ -276,6 +276,7 @@
"en/observability/overview",
"en/observability/arize-phoenix",
"en/observability/braintrust",
"en/observability/datadog",
"en/observability/langdb",
"en/observability/langfuse",
"en/observability/langtrace",
@@ -700,6 +701,7 @@
"pt-BR/observability/overview",
"pt-BR/observability/arize-phoenix",
"pt-BR/observability/braintrust",
"pt-BR/observability/datadog",
"pt-BR/observability/langdb",
"pt-BR/observability/langfuse",
"pt-BR/observability/langtrace",
@@ -1132,6 +1134,7 @@
"ko/observability/overview",
"ko/observability/arize-phoenix",
"ko/observability/braintrust",
"ko/observability/datadog",
"ko/observability/langdb",
"ko/observability/langfuse",
"ko/observability/langtrace",

View File

@@ -33,6 +33,22 @@ Before using the Asana integration, ensure you have:
uv add crewai-tools
```
### 3. Environment Variable Setup
<Note>
To use integrations with `Agent(apps=[])`, you must set the `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
Or add it to your `.env` file:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## Available Actions
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Before using the Box integration, ensure you have:
uv add crewai-tools
```
### 3. Environment Variable Setup
<Note>
To use integrations with `Agent(apps=[])`, you must set the `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
Or add it to your `.env` file:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## Available Actions
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Before using the ClickUp integration, ensure you have:
uv add crewai-tools
```
### 3. Environment Variable Setup
<Note>
To use integrations with `Agent(apps=[])`, you must set the `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
Or add it to your `.env` file:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## Available Actions
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Before using the GitHub integration, ensure you have:
uv add crewai-tools
```
### 3. Environment Variable Setup
<Note>
To use integrations with `Agent(apps=[])`, you must set the `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
Or add it to your `.env` file:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## Available Actions
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Before using the Gmail integration, ensure you have:
uv add crewai-tools
```
### 3. Environment Variable Setup
<Note>
To use integrations with `Agent(apps=[])`, you must set the `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
Or add it to your `.env` file:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## Available Actions
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Before using the Google Calendar integration, ensure you have:
uv add crewai-tools
```
### 3. Environment Variable Setup
<Note>
To use integrations with `Agent(apps=[])`, you must set the `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
Or add it to your `.env` file:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## Available Actions
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Before using the Google Contacts integration, ensure you have:
uv add crewai-tools
```
### 3. Environment Variable Setup
<Note>
To use integrations with `Agent(apps=[])`, you must set the `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
Or add it to your `.env` file:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## Available Actions
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Before using the Google Docs integration, ensure you have:
uv add crewai-tools
```
### 3. Environment Variable Setup
<Note>
To use integrations with `Agent(apps=[])`, you must set the `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
Or add it to your `.env` file:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## Available Actions
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Before using the Google Drive integration, ensure you have:
uv add crewai-tools
```
### 3. Environment Variable Setup
<Note>
To use integrations with `Agent(apps=[])`, you must set the `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
Or add it to your `.env` file:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## Available Actions
<AccordionGroup>

View File

@@ -34,6 +34,22 @@ Before using the Google Sheets integration, ensure you have:
uv add crewai-tools
```
### 3. Environment Variable Setup
<Note>
To use integrations with `Agent(apps=[])`, you must set the `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
Or add it to your `.env` file:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## Available Actions
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Before using the Google Slides integration, ensure you have:
uv add crewai-tools
```
### 3. Environment Variable Setup
<Note>
To use integrations with `Agent(apps=[])`, you must set the `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
Or add it to your `.env` file:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## Available Actions
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Before using the HubSpot integration, ensure you have:
uv add crewai-tools
```
### 3. Environment Variable Setup
<Note>
To use integrations with `Agent(apps=[])`, you must set the `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
Or add it to your `.env` file:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## Available Actions
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Before using the Jira integration, ensure you have:
uv add crewai-tools
```
### 3. Environment Variable Setup
<Note>
To use integrations with `Agent(apps=[])`, you must set the `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
Or add it to your `.env` file:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## Available Actions
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Before using the Linear integration, ensure you have:
uv add crewai-tools
```
### 3. Environment Variable Setup
<Note>
To use integrations with `Agent(apps=[])`, you must set the `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
Or add it to your `.env` file:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## Available Actions
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Before using the Microsoft Excel integration, ensure you have:
uv add crewai-tools
```
### 3. Environment Variable Setup
<Note>
To use integrations with `Agent(apps=[])`, you must set the `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
Or add it to your `.env` file:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## Available Actions
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Before using the Microsoft OneDrive integration, ensure you have:
uv add crewai-tools
```
### 3. Environment Variable Setup
<Note>
To use integrations with `Agent(apps=[])`, you must set the `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
Or add it to your `.env` file:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## Available Actions
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Before using the Microsoft Outlook integration, ensure you have:
uv add crewai-tools
```
### 3. Environment Variable Setup
<Note>
To use integrations with `Agent(apps=[])`, you must set the `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
Or add it to your `.env` file:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## Available Actions
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Before using the Microsoft SharePoint integration, ensure you have:
uv add crewai-tools
```
### 3. Environment Variable Setup
<Note>
To use integrations with `Agent(apps=[])`, you must set the `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
Or add it to your `.env` file:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## Available Actions
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Before using the Microsoft Teams integration, ensure you have:
uv add crewai-tools
```
### 3. Environment Variable Setup
<Note>
To use integrations with `Agent(apps=[])`, you must set the `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
Or add it to your `.env` file:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## Available Actions
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Before using the Microsoft Word integration, ensure you have:
uv add crewai-tools
```
### 3. Environment Variable Setup
<Note>
To use integrations with `Agent(apps=[])`, you must set the `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
Or add it to your `.env` file:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## Available Actions
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Before using the Notion integration, ensure you have:
uv add crewai-tools
```
### 3. Environment Variable Setup
<Note>
To use integrations with `Agent(apps=[])`, you must set the `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
Or add it to your `.env` file:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## Available Actions
<AccordionGroup>

View File

@@ -17,6 +17,38 @@ Before using the Salesforce integration, ensure you have:
- A Salesforce account with appropriate permissions
- Connected your Salesforce account through the [Integrations page](https://app.crewai.com/integrations)
## Setting Up Salesforce Integration
### 1. Connect Your Salesforce Account
1. Navigate to [CrewAI AMP Integrations](https://app.crewai.com/crewai_plus/connectors)
2. Find **Salesforce** in the Authentication Integrations section
3. Click **Connect** and complete the OAuth flow
4. Grant the necessary permissions for CRM and sales management
5. Copy your Enterprise Token from [Integration Settings](https://app.crewai.com/crewai_plus/settings/integrations)
### 2. Install Required Package
```bash
uv add crewai-tools
```
### 3. Environment Variable Setup
<Note>
To use integrations with `Agent(apps=[])`, you must set the `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
Or add it to your `.env` file:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## Available Tools
### **Record Management**

View File

@@ -17,6 +17,38 @@ Before using the Shopify integration, ensure you have:
- A Shopify store with appropriate admin permissions
- Connected your Shopify store through the [Integrations page](https://app.crewai.com/integrations)
## Setting Up Shopify Integration
### 1. Connect Your Shopify Store
1. Navigate to [CrewAI AMP Integrations](https://app.crewai.com/crewai_plus/connectors)
2. Find **Shopify** in the Authentication Integrations section
3. Click **Connect** and complete the OAuth flow
4. Grant the necessary permissions for store and product management
5. Copy your Enterprise Token from [Integration Settings](https://app.crewai.com/crewai_plus/settings/integrations)
### 2. Install Required Package
```bash
uv add crewai-tools
```
### 3. Environment Variable Setup
<Note>
To use integrations with `Agent(apps=[])`, you must set the `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
Or add it to your `.env` file:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## Available Tools
### **Customer Management**

View File

@@ -17,6 +17,38 @@ Before using the Slack integration, ensure you have:
- A Slack workspace with appropriate permissions
- Connected your Slack workspace through the [Integrations page](https://app.crewai.com/integrations)
## Setting Up Slack Integration
### 1. Connect Your Slack Workspace
1. Navigate to [CrewAI AMP Integrations](https://app.crewai.com/crewai_plus/connectors)
2. Find **Slack** in the Authentication Integrations section
3. Click **Connect** and complete the OAuth flow
4. Grant the necessary permissions for team communication
5. Copy your Enterprise Token from [Integration Settings](https://app.crewai.com/crewai_plus/settings/integrations)
### 2. Install Required Package
```bash
uv add crewai-tools
```
### 3. Environment Variable Setup
<Note>
To use integrations with `Agent(apps=[])`, you must set the `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
Or add it to your `.env` file:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## Available Tools
### **User Management**

View File

@@ -17,6 +17,38 @@ Before using the Stripe integration, ensure you have:
- A Stripe account with appropriate API permissions
- Connected your Stripe account through the [Integrations page](https://app.crewai.com/integrations)
## Setting Up Stripe Integration
### 1. Connect Your Stripe Account
1. Navigate to [CrewAI AMP Integrations](https://app.crewai.com/crewai_plus/connectors)
2. Find **Stripe** in the Authentication Integrations section
3. Click **Connect** and complete the OAuth flow
4. Grant the necessary permissions for payment processing
5. Copy your Enterprise Token from [Integration Settings](https://app.crewai.com/crewai_plus/settings/integrations)
### 2. Install Required Package
```bash
uv add crewai-tools
```
### 3. Environment Variable Setup
<Note>
To use integrations with `Agent(apps=[])`, you must set the `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
Or add it to your `.env` file:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## Available Tools
### **Customer Management**

View File

@@ -17,6 +17,38 @@ Before using the Zendesk integration, ensure you have:
- A Zendesk account with appropriate API permissions
- Connected your Zendesk account through the [Integrations page](https://app.crewai.com/integrations)
## Setting Up Zendesk Integration
### 1. Connect Your Zendesk Account
1. Navigate to [CrewAI AMP Integrations](https://app.crewai.com/crewai_plus/connectors)
2. Find **Zendesk** in the Authentication Integrations section
3. Click **Connect** and complete the OAuth flow
4. Grant the necessary permissions for ticket and user management
5. Copy your Enterprise Token from [Integration Settings](https://app.crewai.com/crewai_plus/settings/integrations)
### 2. Install Required Package
```bash
uv add crewai-tools
```
### 3. Environment Variable Setup
<Note>
To use integrations with `Agent(apps=[])`, you must set the `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
Or add it to your `.env` file:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## Available Tools
### **Ticket Management**

View File

@@ -0,0 +1,105 @@
---
title: Datadog Integration
description: Learn how to integrate Datadog with CrewAI to submit LLM Observability traces to Datadog.
icon: dog
mode: "wide"
---
# Integrate Datadog with CrewAI
This guide will demonstrate how to integrate **[Datadog LLM Observability](https://docs.datadoghq.com/llm_observability/)** with **CrewAI** using [Datadog auto-instrumentation](https://docs.datadoghq.com/llm_observability/instrumentation/auto_instrumentation?tab=python). By the end of this guide, you will be able to submit LLM Observability traces to Datadog and view your CrewAI agent runs in Datadog LLM Observability's [Agentic Execution View](https://docs.datadoghq.com/llm_observability/monitoring/agent_monitoring).
## What is Datadog LLM Observability?
[Datadog LLM Observability](https://www.datadoghq.com/product/llm-observability/) helps AI engineers, data scientists, and application developers quickly develop, evaluate, and monitor LLM applications. Confidently improve output quality, performance, costs, and overall risk with structured experiments, end-to-end tracing across AI agents, and evaluations.
## Getting Started
### Install Dependencies
```shell
pip install ddtrace crewai crewai-tools
```
### Set Environment Variables
If you do not have a Datadog API key, you can [create an account](https://www.datadoghq.com/) and [get your API key](https://docs.datadoghq.com/account_management/api-app-keys/#api-keys).
You will also need to specify an ML Application name in the following environment variables. An ML Application is a grouping of LLM Observability traces associated with a specific LLM-based application. See [ML Application Naming Guidelines](https://docs.datadoghq.com/llm_observability/instrumentation/sdk?tab=python#application-naming-guidelines) for more information on limitations with ML Application names.
```shell
export DD_API_KEY=<YOUR_DD_API_KEY>
export DD_SITE=<YOUR_DD_SITE>
export DD_LLMOBS_ENABLED=true
export DD_LLMOBS_ML_APP=<YOUR_ML_APP_NAME>
export DD_LLMOBS_AGENTLESS_ENABLED=true
export DD_APM_TRACING_ENABLED=false
```
Additionally, configure any LLM provider API keys
```shell
export OPENAI_API_KEY=<YOUR_OPENAI_API_KEY>
export ANTHROPIC_API_KEY=<YOUR_ANTHROPIC_API_KEY>
export GEMINI_API_KEY=<YOUR_GEMINI_API_KEY>
...
```
### Create a CrewAI Agent Application
```python
# crewai_agent.py
from crewai import Agent, Task, Crew
from crewai_tools import (
WebsiteSearchTool
)
web_rag_tool = WebsiteSearchTool()
writer = Agent(
role="Writer",
goal="You make math engaging and understandable for young children through poetry",
backstory="You're an expert in writing haikus but you know nothing of math.",
tools=[web_rag_tool],
)
task = Task(
description=("What is {multiplication}?"),
expected_output=("Compose a haiku that includes the answer."),
agent=writer
)
crew = Crew(
agents=[writer],
tasks=[task],
share_crew=False
)
output = crew.kickoff(dict(multiplication="2 * 2"))
```
### Run the Application with Datadog Auto-Instrumentation
With the [environment variables](#set-environment-variables) set, you can now run the application with Datadog auto-instrumentation.
```shell
ddtrace-run python crewai_agent.py
```
### View the Traces in Datadog
After running the application, you can view the traces in [Datadog LLM Observability's Traces View](https://app.datadoghq.com/llm/traces), selecting the ML Application name you chose from the top-left dropdown.
Clicking on a trace will show you the details of the trace, including total tokens used, number of LLM calls, models used, and estimated cost. Clicking into a specific span will narrow down these details, and show related input, output, and metadata.
![Datadog LLM Observability Trace View](/images/datadog-llm-observability-1.png)
Additionally, you can view the execution graph view of the trace, which shows the control and data flow of the trace, which will scale with larger agents to show handoffs and relationships between LLM calls, tool calls, and agent interactions.
![Datadog LLM Observability Agent Execution Flow View](/images/datadog-llm-observability-2.png)
## References
- [Datadog LLM Observability](https://www.datadoghq.com/product/llm-observability/)
- [Datadog LLM Observability CrewAI Auto-Instrumentation](https://docs.datadoghq.com/llm_observability/instrumentation/auto_instrumentation?tab=python#crew-ai)

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@@ -33,6 +33,22 @@ Asana 연동을 사용하기 전에 다음을 확인하세요:
uv add crewai-tools
```
### 3. 환경 변수 설정
<Note>
`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로 `CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
또는 `.env` 파일에 추가하세요:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## 사용 가능한 작업
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Box 통합을 사용하기 전에 다음을 확인하세요:
uv add crewai-tools
```
### 3. 환경 변수 설정
<Note>
`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로 `CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
또는 `.env` 파일에 추가하세요:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## 사용 가능한 액션
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ ClickUp 통합을 사용하기 전에 다음을 준비해야 합니다:
uv add crewai-tools
```
### 3. 환경 변수 설정
<Note>
`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로 `CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
또는 `.env` 파일에 추가하세요:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## 사용 가능한 동작
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ GitHub 통합을 사용하기 전에 다음을 확인하세요:
uv add crewai-tools
```
### 3. 환경 변수 설정
<Note>
`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로 `CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
또는 `.env` 파일에 추가하세요:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## 사용 가능한 작업
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Gmail 통합을 사용하기 전에 다음을 확인하세요:
uv add crewai-tools
```
### 3. 환경 변수 설정
<Note>
`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로 `CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
또는 `.env` 파일에 추가하세요:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## 사용 가능한 작업
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Google Calendar 통합을 사용하기 전에 다음을 준비해야 합니다:
uv add crewai-tools
```
### 3. 환경 변수 설정
<Note>
`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로 `CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
또는 `.env` 파일에 추가하세요:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## 사용 가능한 작업
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Google Contacts 통합을 사용하기 전에 다음 사항을 확인하세요:
uv add crewai-tools
```
### 3. 환경 변수 설정
<Note>
`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로 `CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
또는 `.env` 파일에 추가하세요:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## 사용 가능한 작업
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Google Docs 통합을 사용하기 전에 다음 사항을 확인하세요:
uv add crewai-tools
```
### 3. 환경 변수 설정
<Note>
`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로 `CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
또는 `.env` 파일에 추가하세요:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## 사용 가능한 작업
<AccordionGroup>

View File

@@ -17,6 +17,38 @@ Google Drive 통합을 사용하기 전에 다음 사항을 확인하세요:
- Google Drive 액세스 권한이 있는 Google 계정
- [통합 페이지](https://app.crewai.com/crewai_plus/connectors)를 통해 Google 계정 연결
## Google Drive 통합 설정
### 1. Google 계정 연결
1. [CrewAI AMP 통합](https://app.crewai.com/crewai_plus/connectors)으로 이동합니다.
2. 인증 통합 섹션에서 **Google Drive**를 찾습니다.
3. **연결**을 클릭하고 OAuth 과정을 완료합니다.
4. 파일 및 폴더 관리에 필요한 권한을 부여합니다.
5. [통합 설정](https://app.crewai.com/crewai_plus/settings/integrations)에서 Enterprise Token을 복사합니다.
### 2. 필수 패키지 설치
```bash
uv add crewai-tools
```
### 3. 환경 변수 설정
<Note>
`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로 `CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
또는 `.env` 파일에 추가하세요:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## 사용 가능한 작업
자세한 매개변수 및 사용법은 [영어 문서](../../../en/enterprise/integrations/google_drive)를 참조하세요.

View File

@@ -34,6 +34,22 @@ Google Sheets 통합을 사용하기 전에 다음을 확인하세요:
uv add crewai-tools
```
### 3. 환경 변수 설정
<Note>
`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로 `CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
또는 `.env` 파일에 추가하세요:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## 사용 가능한 작업
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Google Slides 통합을 사용하기 전에 다음 사항을 확인하세요:
uv add crewai-tools
```
### 3. 환경 변수 설정
<Note>
`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로 `CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
또는 `.env` 파일에 추가하세요:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## 사용 가능한 작업
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ HubSpot 통합을 사용하기 전에 다음을 확인하세요.
uv add crewai-tools
```
### 3. 환경 변수 설정
<Note>
`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로 `CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
또는 `.env` 파일에 추가하세요:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## 사용 가능한 액션
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Jira 통합을 사용하기 전에 다음을 준비하세요:
uv add crewai-tools
```
### 3. 환경 변수 설정
<Note>
`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로 `CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
또는 `.env` 파일에 추가하세요:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## 사용 가능한 작업
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Linear 통합을 사용하기 전에 다음을 확인하세요:
uv add crewai-tools
```
### 3. 환경 변수 설정
<Note>
`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로 `CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
또는 `.env` 파일에 추가하세요:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## 사용 가능한 작업
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Microsoft Excel 통합을 사용하기 전에 다음 사항을 확인하세요:
uv add crewai-tools
```
### 3. 환경 변수 설정
<Note>
`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로 `CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
또는 `.env` 파일에 추가하세요:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## 사용 가능한 작업
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Microsoft OneDrive 통합을 사용하기 전에 다음 사항을 확인하세
uv add crewai-tools
```
### 3. 환경 변수 설정
<Note>
`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로 `CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
또는 `.env` 파일에 추가하세요:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## 사용 가능한 작업
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Microsoft Outlook 통합을 사용하기 전에 다음 사항을 확인하세요
uv add crewai-tools
```
### 3. 환경 변수 설정
<Note>
`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로 `CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
또는 `.env` 파일에 추가하세요:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## 사용 가능한 작업
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Microsoft SharePoint 통합을 사용하기 전에 다음 사항을 확인하세
uv add crewai-tools
```
### 3. 환경 변수 설정
<Note>
`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로 `CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
또는 `.env` 파일에 추가하세요:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## 사용 가능한 작업
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Microsoft Teams 통합을 사용하기 전에 다음 사항을 확인하세요:
uv add crewai-tools
```
### 3. 환경 변수 설정
<Note>
`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로 `CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
또는 `.env` 파일에 추가하세요:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## 사용 가능한 작업
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Microsoft Word 통합을 사용하기 전에 다음 사항을 확인하세요:
uv add crewai-tools
```
### 3. 환경 변수 설정
<Note>
`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로 `CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
또는 `.env` 파일에 추가하세요:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## 사용 가능한 작업
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Notion 통합을 사용하기 전에 다음을 확인하세요:
uv add crewai-tools
```
### 3. 환경 변수 설정
<Note>
`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로 `CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
또는 `.env` 파일에 추가하세요:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## 사용 가능한 액션
<AccordionGroup>

View File

@@ -17,6 +17,38 @@ Salesforce 통합을 사용하기 전에 다음을 확인하세요:
- 적절한 권한이 있는 Salesforce 계정
- [통합 페이지](https://app.crewai.com/integrations)를 통해 Salesforce 계정 연결
## Salesforce 통합 설정
### 1. Salesforce 계정 연결
1. [CrewAI AMP 통합](https://app.crewai.com/crewai_plus/connectors)으로 이동합니다.
2. 인증 통합 섹션에서 **Salesforce**를 찾습니다.
3. **연결**을 클릭하고 OAuth 과정을 완료합니다.
4. CRM 및 영업 관리에 필요한 권한을 부여합니다.
5. [통합 설정](https://app.crewai.com/crewai_plus/settings/integrations)에서 Enterprise Token을 복사합니다.
### 2. 필수 패키지 설치
```bash
uv add crewai-tools
```
### 3. 환경 변수 설정
<Note>
`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로 `CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
또는 `.env` 파일에 추가하세요:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## 사용 가능한 도구
### **레코드 관리**

View File

@@ -17,6 +17,38 @@ Shopify 연동을 사용하기 전에 다음을 확인하세요:
- 적절한 관리자 권한이 있는 Shopify 스토어
- [통합 페이지](https://app.crewai.com/integrations)를 통해 Shopify 스토어 연결
## Shopify 통합 설정
### 1. Shopify 스토어 연결
1. [CrewAI AMP 통합](https://app.crewai.com/crewai_plus/connectors)으로 이동합니다.
2. 인증 통합 섹션에서 **Shopify**를 찾습니다.
3. **연결**을 클릭하고 OAuth 과정을 완료합니다.
4. 스토어 및 제품 관리에 필요한 권한을 부여합니다.
5. [통합 설정](https://app.crewai.com/crewai_plus/settings/integrations)에서 Enterprise Token을 복사합니다.
### 2. 필수 패키지 설치
```bash
uv add crewai-tools
```
### 3. 환경 변수 설정
<Note>
`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로 `CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
또는 `.env` 파일에 추가하세요:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## 사용 가능한 도구
### **고객 관리**

View File

@@ -17,6 +17,38 @@ Slack 통합을 사용하기 전에 다음을 확인하십시오:
- 적절한 권한이 있는 Slack 워크스페이스
- [통합 페이지](https://app.crewai.com/integrations)를 통해 Slack 워크스페이스를 연결함
## Slack 통합 설정
### 1. Slack 워크스페이스 연결
1. [CrewAI AMP 통합](https://app.crewai.com/crewai_plus/connectors)으로 이동합니다.
2. 인증 통합 섹션에서 **Slack**을 찾습니다.
3. **연결**을 클릭하고 OAuth 과정을 완료합니다.
4. 팀 커뮤니케이션에 필요한 권한을 부여합니다.
5. [통합 설정](https://app.crewai.com/crewai_plus/settings/integrations)에서 Enterprise Token을 복사합니다.
### 2. 필수 패키지 설치
```bash
uv add crewai-tools
```
### 3. 환경 변수 설정
<Note>
`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로 `CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
또는 `.env` 파일에 추가하세요:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## 사용 가능한 도구
### **사용자 관리**

View File

@@ -17,6 +17,38 @@ Stripe 통합을 사용하기 전에 다음 사항을 확인하세요:
- 적절한 API 권한이 있는 Stripe 계정
- [통합 페이지](https://app.crewai.com/integrations)를 통해 Stripe 계정 연결
## Stripe 통합 설정
### 1. Stripe 계정 연결
1. [CrewAI AMP 통합](https://app.crewai.com/crewai_plus/connectors)으로 이동합니다.
2. 인증 통합 섹션에서 **Stripe**를 찾습니다.
3. **연결**을 클릭하고 OAuth 과정을 완료합니다.
4. 결제 처리에 필요한 권한을 부여합니다.
5. [통합 설정](https://app.crewai.com/crewai_plus/settings/integrations)에서 Enterprise Token을 복사합니다.
### 2. 필수 패키지 설치
```bash
uv add crewai-tools
```
### 3. 환경 변수 설정
<Note>
`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로 `CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
또는 `.env` 파일에 추가하세요:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## 사용 가능한 도구
### **고객 관리**

View File

@@ -17,6 +17,38 @@ Zendesk 통합을 사용하기 전에 다음을 확인하세요.
- 적절한 API 권한이 있는 Zendesk 계정
- [통합 페이지](https://app.crewai.com/integrations)를 통해 Zendesk 계정 연결
## Zendesk 통합 설정
### 1. Zendesk 계정 연결
1. [CrewAI AMP 통합](https://app.crewai.com/crewai_plus/connectors)으로 이동합니다.
2. 인증 통합 섹션에서 **Zendesk**를 찾습니다.
3. **연결**을 클릭하고 OAuth 과정을 완료합니다.
4. 티켓 및 사용자 관리에 필요한 권한을 부여합니다.
5. [통합 설정](https://app.crewai.com/crewai_plus/settings/integrations)에서 Enterprise Token을 복사합니다.
### 2. 필수 패키지 설치
```bash
uv add crewai-tools
```
### 3. 환경 변수 설정
<Note>
`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로 `CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```
또는 `.env` 파일에 추가하세요:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```
## 사용 가능한 도구
### **티켓 관리**

View File

@@ -0,0 +1,105 @@
---
title: Datadog 통합
description: Datadog을 CrewAI와 통합하여 LLM Observability 트레이스들을 Datadog에 제출하는 방법을 알아보세요.
icon: dog
mode: "wide"
---
# Datadog을 CrewAI와 통합하기
이 가이드에서는 Datadog 자동 계측을 사용하여 **Datadog**을 **CrewAI**와 통합하는 방법을 보여드립니다. 이 가이드가 끝나면 LLM Observability 트레이스를 Datadog에 제출하고 CrewAI 에이전트 실행을 Datadog LLM Observability의 에이전트 실행 보기에서 볼 수 있게 됩니다.
## Datadog LLM Observability란 무엇인가요?
[Datadog LLM Observability](https://www.datadoghq.com/product/llm-observability/)는 AI 엔지니어, 데이터 과학자, 애플리케이션 개발자가 LLM 애플리케이션을 신속하게 개발, 평가, 모니터링할 수 있도록 도와줍니다. 구조화된 실험, AI 에이전트 전반의 엔드투엔드 추적, 평가를 통해 결과물 품질, 성능, 비용, 전반적인 위험을 확실하게 개선할 수 있습니다.
## 시작하기
### 설치 종속성
```shell
pip install ddtrace crewai crewai-tools
```
### 환경 변수 설정하기
Datadog API 키가 없는 경우, [계정 만들기](https://www.datadoghq.com/) 및 [API 키 받기](https://docs.datadoghq.com/account_management/api-app-keys/#api-keys)를 할 수 있습니다.
또한 다음 환경 변수에 ML 애플리케이션 이름을 지정해야 합니다. ML 애플리케이션은 특정 LLM 기반 애플리케이션과 관련된 LLM Observability 트레이스의 그룹입니다. ML 애플리케이션 이름 제한에 대한 자세한 내용은 [ML 애플리케이션 이름 지정 가이드라인](https://docs.datadoghq.com/llm_observability/instrumentation/sdk?tab=python#application-naming-guidelines)을 참조하세요.
```shell
export DD_API_KEY=<YOUR_DD_API_KEY>
export DD_SITE=<YOUR_DD_SITE>
export DD_LLMOBS_ENABLED=true
export DD_LLMOBS_ML_APP=<YOUR_ML_APP_NAME>
export DD_LLMOBS_AGENTLESS_ENABLED=true
export DD_APM_TRACING_ENABLED=false
```
또한 LLM 공급자 API 키를 설정합니다.
```shell
export OPENAI_API_KEY=<YOUR_OPENAI_API_KEY>
export ANTHROPIC_API_KEY=<YOUR_ANTHROPIC_API_KEY>
export GEMINI_API_KEY=<YOUR_GEMINI_API_KEY>
...
```
### 크루AI 에이전트 애플리케이션 생성하기
```python
# crewai_agent.py
from crewai import Agent, Task, Crew
from crewai_tools import (
WebsiteSearchTool
)
web_rag_tool = WebsiteSearchTool()
writer = Agent(
role="작가",
goal="시를 통해 어린이들이 수학을 흥미롭고 이해하기 쉽게 설명합니다",
backstory="당신은 하이쿠를 쓰는 전문가이지만 수학은 전혀 모릅니다.",
tools=[web_rag_tool],
)
task = Task(
description=("{곱셈}이란 무엇인가요?"),
expected_output=("답을 포함하는 하이쿠를 작성하세요."),
agent=writer
)
crew = Crew(
agents=[writer],
tasks=[task],
share_crew=False
)
output = crew.kickoff(dict(곱셈="2 * 2"))
```
### Datadog 자동 계측을 사용하여 애플리케이션 실행하기
[환경 변수](#환경-변수-설정하기)를 설정하면 이제 Datadog 자동 계측을 통해 애플리케이션을 실행할 수 있습니다.
```shell
ddtrace-run python crewai_agent.py
```
### Datadog에서 트레이스 추적하기
애플리케이션을 실행한 후 왼쪽 상단 드롭다운에서 선택한 ML 애플리케이션 이름을 선택하면 [Datadog LLM Observability의 트레이스 보기](https://app.datadoghq.com/llm/traces)에서 트레이스들을 확인할 수 있습니다.
트레이스를 클릭하면 사용된 총 토큰, LLM 호출 수, 사용된 모델, 예상 비용 등 트레이스에 대한 세부 정보가 표시됩니다. 특정 스팬(span)을 클릭하면 이러한 세부 정보의 범위가 좁혀지고 관련 입력, 출력 및 메타데이터가 표시됩니다.
![Datadog LLM 옵저버빌리티 추적 보기](/images/datadog-llm-observability-1.png)
또한, 트레이스의 제어 및 데이터 흐름을 보여주는 트레이스의 실행 그래프 보기를 볼 수 있으며, 이는 더 큰 에이전트로 확장하여 LLM 호출, 도구 호출 및 에이전트 상호 작용 간의 핸드오프와 관계를 보여줍니다.
![Datadog LLM Observability 에이전트 실행 흐름 보기](/images/datadog-llm-observability-2.png)
## 참조
- [Datadog LLM Observability](https://www.datadoghq.com/product/llm-observability/)
- [Datadog LLM 옵저버빌리티 크루AI 자동 계측](https://docs.datadoghq.com/llm_observability/instrumentation/auto_instrumentation?tab=python#crew-ai)

View File

@@ -33,6 +33,22 @@ Antes de usar a integração com o Asana, assegure-se de ter:
uv add crewai-tools
```
### 3. Configuração de variável de ambiente
<Note>
Para usar integrações com `Agent(apps=[])`, você deve definir a variável de ambiente `CREWAI_PLATFORM_INTEGRATION_TOKEN` com seu Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="seu_enterprise_token"
```
Ou adicione ao seu arquivo `.env`:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
```
## Ações Disponíveis
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Antes de utilizar a integração com o ClickUp, certifique-se de que você possu
uv add crewai-tools
```
### 3. Configuração de variável de ambiente
<Note>
Para usar integrações com `Agent(apps=[])`, você deve definir a variável de ambiente `CREWAI_PLATFORM_INTEGRATION_TOKEN` com seu Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="seu_enterprise_token"
```
Ou adicione ao seu arquivo `.env`:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
```
## Ações Disponíveis
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Antes de usar a integração com o Gmail, certifique-se de que você possui:
uv add crewai-tools
```
### 3. Configuração de variável de ambiente
<Note>
Para usar integrações com `Agent(apps=[])`, você deve definir a variável de ambiente `CREWAI_PLATFORM_INTEGRATION_TOKEN` com seu Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="seu_enterprise_token"
```
Ou adicione ao seu arquivo `.env`:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
```
## Ações Disponíveis
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Antes de usar a integração com o Google Calendar, certifique-se de ter:
uv add crewai-tools
```
### 3. Configuração de variável de ambiente
<Note>
Para usar integrações com `Agent(apps=[])`, você deve definir a variável de ambiente `CREWAI_PLATFORM_INTEGRATION_TOKEN` com seu Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="seu_enterprise_token"
```
Ou adicione ao seu arquivo `.env`:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
```
## Ações Disponíveis
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Antes de usar a integração Google Contacts, certifique-se de ter:
uv add crewai-tools
```
### 3. Configuração de variável de ambiente
<Note>
Para usar integrações com `Agent(apps=[])`, você deve definir a variável de ambiente `CREWAI_PLATFORM_INTEGRATION_TOKEN` com seu Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="seu_enterprise_token"
```
Ou adicione ao seu arquivo `.env`:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
```
## Ações Disponíveis
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Antes de usar a integração Google Docs, certifique-se de ter:
uv add crewai-tools
```
### 3. Configuração de variável de ambiente
<Note>
Para usar integrações com `Agent(apps=[])`, você deve definir a variável de ambiente `CREWAI_PLATFORM_INTEGRATION_TOKEN` com seu Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="seu_enterprise_token"
```
Ou adicione ao seu arquivo `.env`:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
```
## Ações Disponíveis
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Antes de usar a integração Google Drive, certifique-se de ter:
uv add crewai-tools
```
### 3. Configuração de variável de ambiente
<Note>
Para usar integrações com `Agent(apps=[])`, você deve definir a variável de ambiente `CREWAI_PLATFORM_INTEGRATION_TOKEN` com seu Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="seu_enterprise_token"
```
Ou adicione ao seu arquivo `.env`:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
```
## Ações Disponíveis
Para informações detalhadas sobre parâmetros e uso, consulte a [documentação em inglês](../../../en/enterprise/integrations/google_drive).

View File

@@ -34,6 +34,22 @@ Antes de utilizar a integração com o Google Sheets, certifique-se de que você
uv add crewai-tools
```
### 3. Configuração de variável de ambiente
<Note>
Para usar integrações com `Agent(apps=[])`, você deve definir a variável de ambiente `CREWAI_PLATFORM_INTEGRATION_TOKEN` com seu Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="seu_enterprise_token"
```
Ou adicione ao seu arquivo `.env`:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
```
## Ações Disponíveis
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Antes de usar a integração Google Slides, certifique-se de ter:
uv add crewai-tools
```
### 3. Configuração de variável de ambiente
<Note>
Para usar integrações com `Agent(apps=[])`, você deve definir a variável de ambiente `CREWAI_PLATFORM_INTEGRATION_TOKEN` com seu Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="seu_enterprise_token"
```
Ou adicione ao seu arquivo `.env`:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
```
## Ações Disponíveis
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Antes de utilizar a integração com o HubSpot, certifique-se de que você possu
uv add crewai-tools
```
### 3. Configuração de variável de ambiente
<Note>
Para usar integrações com `Agent(apps=[])`, você deve definir a variável de ambiente `CREWAI_PLATFORM_INTEGRATION_TOKEN` com seu Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="seu_enterprise_token"
```
Ou adicione ao seu arquivo `.env`:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
```
## Ações Disponíveis
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Antes de utilizar a integração com o Linear, certifique-se de que você possui
uv add crewai-tools
```
### 3. Configuração de variável de ambiente
<Note>
Para usar integrações com `Agent(apps=[])`, você deve definir a variável de ambiente `CREWAI_PLATFORM_INTEGRATION_TOKEN` com seu Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="seu_enterprise_token"
```
Ou adicione ao seu arquivo `.env`:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
```
## Ações Disponíveis
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Antes de usar a integração Microsoft Excel, certifique-se de ter:
uv add crewai-tools
```
### 3. Configuração de variável de ambiente
<Note>
Para usar integrações com `Agent(apps=[])`, você deve definir a variável de ambiente `CREWAI_PLATFORM_INTEGRATION_TOKEN` com seu Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="seu_enterprise_token"
```
Ou adicione ao seu arquivo `.env`:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
```
## Ações Disponíveis
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Antes de usar a integração Microsoft OneDrive, certifique-se de ter:
uv add crewai-tools
```
### 3. Configuração de variável de ambiente
<Note>
Para usar integrações com `Agent(apps=[])`, você deve definir a variável de ambiente `CREWAI_PLATFORM_INTEGRATION_TOKEN` com seu Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="seu_enterprise_token"
```
Ou adicione ao seu arquivo `.env`:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
```
## Ações Disponíveis
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Antes de usar a integração Microsoft Outlook, certifique-se de ter:
uv add crewai-tools
```
### 3. Configuração de variável de ambiente
<Note>
Para usar integrações com `Agent(apps=[])`, você deve definir a variável de ambiente `CREWAI_PLATFORM_INTEGRATION_TOKEN` com seu Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="seu_enterprise_token"
```
Ou adicione ao seu arquivo `.env`:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
```
## Ações Disponíveis
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Antes de usar a integração Microsoft SharePoint, certifique-se de ter:
uv add crewai-tools
```
### 3. Configuração de variável de ambiente
<Note>
Para usar integrações com `Agent(apps=[])`, você deve definir a variável de ambiente `CREWAI_PLATFORM_INTEGRATION_TOKEN` com seu Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="seu_enterprise_token"
```
Ou adicione ao seu arquivo `.env`:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
```
## Ações Disponíveis
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Antes de usar a integração Microsoft Teams, certifique-se de ter:
uv add crewai-tools
```
### 3. Configuração de variável de ambiente
<Note>
Para usar integrações com `Agent(apps=[])`, você deve definir a variável de ambiente `CREWAI_PLATFORM_INTEGRATION_TOKEN` com seu Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="seu_enterprise_token"
```
Ou adicione ao seu arquivo `.env`:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
```
## Ações Disponíveis
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Antes de usar a integração Microsoft Word, certifique-se de ter:
uv add crewai-tools
```
### 3. Configuração de variável de ambiente
<Note>
Para usar integrações com `Agent(apps=[])`, você deve definir a variável de ambiente `CREWAI_PLATFORM_INTEGRATION_TOKEN` com seu Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="seu_enterprise_token"
```
Ou adicione ao seu arquivo `.env`:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
```
## Ações Disponíveis
<AccordionGroup>

View File

@@ -33,6 +33,22 @@ Antes de usar a integração com o Notion, certifique-se de que você tem:
uv add crewai-tools
```
### 3. Configuração de variável de ambiente
<Note>
Para usar integrações com `Agent(apps=[])`, você deve definir a variável de ambiente `CREWAI_PLATFORM_INTEGRATION_TOKEN` com seu Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="seu_enterprise_token"
```
Ou adicione ao seu arquivo `.env`:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
```
## Ações Disponíveis
<AccordionGroup>

View File

@@ -17,6 +17,38 @@ Antes de usar a integração Salesforce, certifique-se de que você possui:
- Uma conta Salesforce com permissões apropriadas
- Sua conta Salesforce conectada via a [página de Integrações](https://app.crewai.com/integrations)
## Configurando a Integração Salesforce
### 1. Conecte sua Conta Salesforce
1. Acesse [CrewAI AMP Integrações](https://app.crewai.com/crewai_plus/connectors)
2. Encontre **Salesforce** na seção Integrações de Autenticação
3. Clique em **Conectar** e complete o fluxo OAuth
4. Conceda as permissões necessárias para gerenciamento de CRM e vendas
5. Copie seu Token Enterprise em [Configurações de Integração](https://app.crewai.com/crewai_plus/settings/integrations)
### 2. Instale o Pacote Necessário
```bash
uv add crewai-tools
```
### 3. Configuração de variável de ambiente
<Note>
Para usar integrações com `Agent(apps=[])`, você deve definir a variável de ambiente `CREWAI_PLATFORM_INTEGRATION_TOKEN` com seu Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="seu_enterprise_token"
```
Ou adicione ao seu arquivo `.env`:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
```
## Ferramentas Disponíveis
### **Gerenciamento de Registros**

View File

@@ -17,6 +17,38 @@ Antes de utilizar a integração com o Shopify, certifique-se de que você possu
- Uma loja Shopify com permissões administrativas adequadas
- Sua loja Shopify conectada através da [página de Integrações](https://app.crewai.com/integrations)
## Configurando a Integração Shopify
### 1. Conecte sua Loja Shopify
1. Acesse [CrewAI AMP Integrações](https://app.crewai.com/crewai_plus/connectors)
2. Encontre **Shopify** na seção Integrações de Autenticação
3. Clique em **Conectar** e complete o fluxo OAuth
4. Conceda as permissões necessárias para gerenciamento de loja e produtos
5. Copie seu Token Enterprise em [Configurações de Integração](https://app.crewai.com/crewai_plus/settings/integrations)
### 2. Instale o Pacote Necessário
```bash
uv add crewai-tools
```
### 3. Configuração de variável de ambiente
<Note>
Para usar integrações com `Agent(apps=[])`, você deve definir a variável de ambiente `CREWAI_PLATFORM_INTEGRATION_TOKEN` com seu Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="seu_enterprise_token"
```
Ou adicione ao seu arquivo `.env`:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
```
## Ferramentas Disponíveis
### **Gerenciamento de Clientes**

View File

@@ -17,6 +17,38 @@ Antes de usar a integração com o Slack, certifique-se de que você tenha:
- Um workspace do Slack com permissões apropriadas
- Seu workspace do Slack conectado por meio da [página de Integrações](https://app.crewai.com/integrations)
## Configurando a Integração Slack
### 1. Conecte seu Workspace do Slack
1. Acesse [CrewAI AMP Integrações](https://app.crewai.com/crewai_plus/connectors)
2. Encontre **Slack** na seção Integrações de Autenticação
3. Clique em **Conectar** e complete o fluxo OAuth
4. Conceda as permissões necessárias para comunicação em equipe
5. Copie seu Token Enterprise em [Configurações de Integração](https://app.crewai.com/crewai_plus/settings/integrations)
### 2. Instale o Pacote Necessário
```bash
uv add crewai-tools
```
### 3. Configuração de variável de ambiente
<Note>
Para usar integrações com `Agent(apps=[])`, você deve definir a variável de ambiente `CREWAI_PLATFORM_INTEGRATION_TOKEN` com seu Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="seu_enterprise_token"
```
Ou adicione ao seu arquivo `.env`:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
```
## Ferramentas Disponíveis
### **Gerenciamento de Usuários**

View File

@@ -17,6 +17,38 @@ Antes de usar a integração com o Stripe, certifique-se de que você tem:
- Uma conta Stripe com permissões apropriadas de API
- Sua conta Stripe conectada através da [página de Integrações](https://app.crewai.com/integrations)
## Configurando a Integração Stripe
### 1. Conecte sua Conta Stripe
1. Acesse [CrewAI AMP Integrações](https://app.crewai.com/crewai_plus/connectors)
2. Encontre **Stripe** na seção Integrações de Autenticação
3. Clique em **Conectar** e complete o fluxo OAuth
4. Conceda as permissões necessárias para processamento de pagamentos
5. Copie seu Token Enterprise em [Configurações de Integração](https://app.crewai.com/crewai_plus/settings/integrations)
### 2. Instale o Pacote Necessário
```bash
uv add crewai-tools
```
### 3. Configuração de variável de ambiente
<Note>
Para usar integrações com `Agent(apps=[])`, você deve definir a variável de ambiente `CREWAI_PLATFORM_INTEGRATION_TOKEN` com seu Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="seu_enterprise_token"
```
Ou adicione ao seu arquivo `.env`:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
```
## Ferramentas Disponíveis
### **Gerenciamento de Clientes**

View File

@@ -17,6 +17,38 @@ Antes de usar a integração com o Zendesk, certifique-se de que você possui:
- Uma conta Zendesk com permissões apropriadas de API
- Sua conta Zendesk conectada através da [página de Integrações](https://app.crewai.com/integrations)
## Configurando a Integração Zendesk
### 1. Conecte sua Conta Zendesk
1. Acesse [CrewAI AMP Integrações](https://app.crewai.com/crewai_plus/connectors)
2. Encontre **Zendesk** na seção Integrações de Autenticação
3. Clique em **Conectar** e complete o fluxo OAuth
4. Conceda as permissões necessárias para gerenciamento de tickets e usuários
5. Copie seu Token Enterprise em [Configurações de Integração](https://app.crewai.com/crewai_plus/settings/integrations)
### 2. Instale o Pacote Necessário
```bash
uv add crewai-tools
```
### 3. Configuração de variável de ambiente
<Note>
Para usar integrações com `Agent(apps=[])`, você deve definir a variável de ambiente `CREWAI_PLATFORM_INTEGRATION_TOKEN` com seu Enterprise Token.
</Note>
```bash
export CREWAI_PLATFORM_INTEGRATION_TOKEN="seu_enterprise_token"
```
Ou adicione ao seu arquivo `.env`:
```
CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
```
## Ferramentas Disponíveis
### **Gerenciamento de Tickets**

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@@ -0,0 +1,105 @@
---
title: Integração Datadog
description: Saiba como integrar o Datadog com o CrewAI para enviar os rastros de observabilidade do LLM para o Datadog.
icon: dog
mode: "wide"
---
# Integrar o Datadog com a CrewAI
Este guia demonstrará como integrar o **Datadog** com o **CrewAI** usando a instrumentação automática do Datadog. Ao final deste guia, você poderá enviar rastreamentos do LLM Observability para o Datadog e visualizar as execuções do agente CrewAI no Agentic Execution View do Datadog LLM Observability.
## O que é o Datadog LLM Observability?
O [Datadog LLM Observability](https://www.datadoghq.com/product/llm-observability/) ajuda os engenheiros de IA, cientistas de dados e desenvolvedores de aplicativos a desenvolver, avaliar e monitorar rapidamente os aplicativos LLM. Melhore com confiança a qualidade dos resultados, o desempenho, os custos e o risco geral com experimentos estruturados, rastreamento de ponta a ponta em agentes de IA e avaliações.
## Primeiros passos
### Instalar dependências
```shell
pip install ddtrace crewai crewai-tools
```
### Definir variáveis de ambiente
Se você não tiver uma chave de API da Datadog, poderá [criar uma conta](https://www.datadoghq.com/) e [obter sua chave de API](https://docs.datadoghq.com/account_management/api-app-keys/#api-keys).
Você também precisará especificar um nome de aplicativo de ML nas seguintes variáveis de ambiente. Um aplicativo de ML é um agrupamento de rastros de observabilidade do LLM associados a um aplicativo específico baseado em LLM. Consulte [ML Application Naming Guidelines](https://docs.datadoghq.com/llm_observability/instrumentation/sdk?tab=python#application-naming-guidelines) para obter mais informações sobre as limitações dos nomes de aplicativos do ML.
```shell
export DD_API_KEY=<SUA_API_KEY>
export DD_SITE=<Seu_DD_SITE>
export DD_LLMOBS_ENABLED=true
export DD_LLMOBS_ML_APP=<YOUR_ML_APP_NAME>
export DD_LLMOBS_AGENTLESS_ENABLED=true
export DD_APM_TRACING_ENABLED=false
```
Além disso, configure todas as chaves de API do provedor LLM
```shell
export OPENAI_API_KEY=<SUA_OPENAI_API_KEY>
export ANTHROPIC_API_KEY=<YOUR_ANTHROPIC_API_KEY>
export GEMINI_API_KEY=<YOUR_GEMINI_API_KEY>
...
```
### Criar um aplicativo agente CrewAI
```python
# crewai_agent.py
from crewai import Agent, Task, Crew
from crewai_tools import (
WebsiteSearchTool
)
web_rag_tool = WebsiteSearchTool()
writer = Agent(
role="Writer",
goal="Você torna a matemática envolvente e compreensível para crianças pequenas por meio da poesia",
backstory="Você é um especialista em escrever haikus, mas não sabe nada de matemática",
tools=[web_rag_tool],
)
task = Task(
description=("O que é {multiplicação}?"),
expected_output=("Componha um haicai que inclua a resposta."),
agent=writer
)
crew = Crew(
agents=[writer],
tasks=[task],
share_crew=False
)
output = crew.kickoff(dict(multiplicação="2 * 2"))
```
### Executar o aplicativo com a instrumentação automática do Datadog
Com as [variáveis de ambiente](#definir-variáveis-de-ambiente) definidas, agora você pode executar o aplicativo com a instrumentação automática do Datadog.
```shell
ddtrace-run python crewai_agent.py
```
### Visualizar os rastros no Datadog
Depois de executar o aplicativo, você pode visualizar os traços na [Datadog LLM Observability's Traces View](https://app.datadoghq.com/llm/traces), selecionando o nome do aplicativo de ML que você escolheu no menu suspenso superior esquerdo.
Ao clicar em um rastreamento, você verá os detalhes do rastreamento, incluindo o total de tokens usados, o número de chamadas LLM, os modelos usados e o custo estimado. Clicar em um intervalo específico reduzirá esses detalhes e mostrará a entrada, a saída e os metadados relacionados.
![Visualização do rastreamento de observabilidade do Datadog LLM](/images/datadog-llm-observability-1.png)
Além disso, você pode visualizar a visualização do gráfico de execução do rastreamento, que mostra o controle e o fluxo de dados do rastreamento, que será dimensionado com agentes maiores para mostrar transferências e relacionamentos entre chamadas LLM, chamadas de ferramentas e interações de agentes.
![Visualização do fluxo de execução do agente de observabilidade do Datadog LLM](/images/datadog-llm-observability-2.png)
## Referências
- [Datadog LLM Observability](https://www.datadoghq.com/product/llm-observability/)
- [Datadog LLM Observability CrewAI Auto-Instrumentation](https://docs.datadoghq.com/llm_observability/instrumentation/auto_instrumentation?tab=python#crew-ai)

View File

@@ -12,7 +12,7 @@ dependencies = [
"pytube>=15.0.0",
"requests>=2.32.5",
"docker>=7.1.0",
"crewai==1.2.0",
"crewai==1.2.1",
"lancedb>=0.5.4",
"tiktoken>=0.8.0",
"beautifulsoup4>=4.13.4",

View File

@@ -287,4 +287,4 @@ __all__ = [
"ZapierActionTools",
]
__version__ = "1.2.0"
__version__ = "1.2.1"

View File

@@ -49,7 +49,7 @@ Repository = "https://github.com/crewAIInc/crewAI"
[project.optional-dependencies]
tools = [
"crewai-tools==1.2.0",
"crewai-tools==1.2.1",
]
embeddings = [
"tiktoken~=0.8.0"

View File

@@ -40,7 +40,7 @@ def _suppress_pydantic_deprecation_warnings() -> None:
_suppress_pydantic_deprecation_warnings()
__version__ = "1.2.0"
__version__ = "1.2.1"
_telemetry_submitted = False

View File

@@ -1186,6 +1186,15 @@ class Agent(BaseAgent):
Returns:
LiteAgentOutput: The result of the agent execution.
"""
if self.apps:
platform_tools = self.get_platform_tools(self.apps)
if platform_tools:
self.tools.extend(platform_tools)
if self.mcps:
mcps = self.get_mcp_tools(self.mcps)
if mcps:
self.tools.extend(mcps)
lite_agent = LiteAgent(
id=self.id,
role=self.role,

View File

@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
authors = [{ name = "Your Name", email = "you@example.com" }]
requires-python = ">=3.10,<3.14"
dependencies = [
"crewai[tools]==1.2.0"
"crewai[tools]==1.2.1"
]
[project.scripts]

View File

@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
authors = [{ name = "Your Name", email = "you@example.com" }]
requires-python = ">=3.10,<3.14"
dependencies = [
"crewai[tools]==1.2.0"
"crewai[tools]==1.2.1"
]
[project.scripts]

View File

@@ -591,3 +591,81 @@ def test_lite_agent_with_invalid_llm():
llm="invalid-model",
)
assert "Expected LLM instance of type BaseLLM" in str(exc_info.value)
@patch.dict("os.environ", {"CREWAI_PLATFORM_INTEGRATION_TOKEN": "test_token"})
@patch("crewai_tools.tools.crewai_platform_tools.crewai_platform_tool_builder.requests.get")
@pytest.mark.vcr(filter_headers=["authorization"])
def test_agent_kickoff_with_platform_tools(mock_get):
"""Test that Agent.kickoff() properly integrates platform tools with LiteAgent"""
mock_response = Mock()
mock_response.raise_for_status.return_value = None
mock_response.json.return_value = {
"actions": {
"github": [
{
"name": "create_issue",
"description": "Create a GitHub issue",
"parameters": {
"type": "object",
"properties": {
"title": {"type": "string", "description": "Issue title"},
"body": {"type": "string", "description": "Issue body"},
},
"required": ["title"],
},
}
]
}
}
mock_get.return_value = mock_response
agent = Agent(
role="Test Agent",
goal="Test goal",
backstory="Test backstory",
llm=LLM(model="gpt-3.5-turbo"),
apps=["github"],
verbose=True
)
result = agent.kickoff("Create a GitHub issue")
assert isinstance(result, LiteAgentOutput)
assert result.raw is not None
@patch.dict("os.environ", {"EXA_API_KEY": "test_exa_key"})
@patch("crewai.agent.Agent._get_external_mcp_tools")
@pytest.mark.vcr(filter_headers=["authorization"])
def test_agent_kickoff_with_mcp_tools(mock_get_mcp_tools):
"""Test that Agent.kickoff() properly integrates MCP tools with LiteAgent"""
# Setup mock MCP tools - create a proper BaseTool instance
class MockMCPTool(BaseTool):
name: str = "exa_search"
description: str = "Search the web using Exa"
def _run(self, query: str) -> str:
return f"Mock search results for: {query}"
mock_get_mcp_tools.return_value = [MockMCPTool()]
# Create agent with MCP servers
agent = Agent(
role="Test Agent",
goal="Test goal",
backstory="Test backstory",
llm=LLM(model="gpt-3.5-turbo"),
mcps=["https://mcp.exa.ai/mcp?api_key=test_exa_key&profile=research"],
verbose=True
)
# Execute kickoff
result = agent.kickoff("Search for information about AI")
# Verify the result is a LiteAgentOutput
assert isinstance(result, LiteAgentOutput)
assert result.raw is not None
# Verify MCP tools were retrieved
mock_get_mcp_tools.assert_called_once_with("https://mcp.exa.ai/mcp?api_key=test_exa_key&profile=research")

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