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Used model-agnostic examples in quickstart/firsts. (#2773)

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Updated prereqs and setup steps to point to the now-more-model-agnostic
LLM setup guide, and updated the relevant text to go with it.

Co-authored-by: Tony Kipkemboi <iamtonykipkemboi@gmail.com>
This commit is contained in:
Mark McDonald
2025-05-07 23:30:27 +08:00
committed by GitHub
parent e23bc2aaa7
commit e3887ae36e
3 changed files with 29 additions and 15 deletions
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23
docs/guides/flows/first-flow.mdx
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@@ -45,7 +45,8 @@ Let's dive in and build your first flow!
Before starting, make sure you have:
1. Installed CrewAI following the [installation guide](/installation)
2. Set up your OpenAI API key in your environment variables
2. Set up your LLM API key in your environment, following the [LLM setup
guide](/concepts/llms#setting-up-your-llm)
3. Basic understanding of Python
## Step 1: Create a New CrewAI Flow Project
@@ -107,6 +108,8 @@ Now, let's modify the generated files for the content writer crew. We'll set up
1. First, update the agents configuration file to define our content creation team:
Remember to set `llm` to the provider you are using.
```yaml
# src/guide_creator_flow/crews/content_crew/config/agents.yaml
content_writer:
@@ -119,7 +122,7 @@ content_writer:
You are a talented educational writer with expertise in creating clear, engaging
content. You have a gift for explaining complex concepts in accessible language
and organizing information in a way that helps readers build their understanding.
llm: openai/gpt-4o-mini
llm: provider/model-id # e.g. openai/gpt-4o, google/gemini-2.0-flash, anthropic/claude...
content_reviewer:
role: >
@@ -132,7 +135,7 @@ content_reviewer:
content. You have an eye for detail, clarity, and coherence. You excel at
improving content while maintaining the original author's voice and ensuring
consistent quality across multiple sections.
llm: openai/gpt-4o-mini
llm: provider/model-id # e.g. openai/gpt-4o, google/gemini-2.0-flash, anthropic/claude...
```
These agent definitions establish the specialized roles and perspectives that will shape how our AI agents approach content creation. Notice how each agent has a distinct purpose and expertise.
@@ -441,10 +444,15 @@ This is the power of flows - combining different types of processing (user inter
## Step 6: Set Up Your Environment Variables
Create a `.env` file in your project root with your API keys:
Create a `.env` file in your project root with your API keys. See the [LLM setup
guide](/concepts/llms#setting-up-your-llm) for details on configuring a provider.
```
```sh .env
OPENAI_API_KEY=your_openai_api_key
# or
GEMINI_API_KEY=your_gemini_api_key
# or
ANTHROPIC_API_KEY=your_anthropic_api_key
```
## Step 7: Install Dependencies
@@ -547,7 +555,10 @@ Let's break down the key components of flows to help you understand how to build
Flows allow you to make direct calls to language models when you need simple, structured responses:
```python
llm = LLM(model="openai/gpt-4o-mini", response_format=GuideOutline)
llm = LLM(
model="model-id-here", # gpt-4o, gemini-2.0-flash, anthropic/claude...
response_format=GuideOutline
)
response = llm.call(messages=messages)
```