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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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docs/guides/crews/first-crew.mdx
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@@ -35,7 +35,8 @@ Let's get started building your first crew!
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 Project
@@ -92,7 +93,8 @@ For our research crew, we'll create two agents:
1. A **researcher** who excels at finding and organizing information
2. An **analyst** who can interpret research findings and create insightful reports
Let's modify the `agents.yaml` file to define these specialized agents:
Let's modify the `agents.yaml` file to define these specialized agents. Be sure
to set `llm` to the provider you are using.
```yaml
# src/research_crew/config/agents.yaml
@@ -107,7 +109,7 @@ researcher:
finding relevant information from various sources. You excel at
organizing information in a clear and structured manner, making
complex topics accessible to others.
llm: openai/gpt-4o-mini
llm: provider/model-id # e.g. openai/gpt-4o, google/gemini-2.0-flash, anthropic/claude...
analyst:
role: >
@@ -120,7 +122,7 @@ analyst:
and technical writing. You have a talent for identifying patterns
and extracting meaningful insights from research data, then
communicating those insights effectively through well-crafted reports.
llm: openai/gpt-4o-mini
llm: provider/model-id # e.g. openai/gpt-4o, google/gemini-2.0-flash, anthropic/claude...
```
Notice how each agent has a distinct role, goal, and backstory. These elements aren't just descriptive - they actively shape how the agent approaches its tasks. By crafting these carefully, you can create agents with specialized skills and perspectives that complement each other.
@@ -282,12 +284,12 @@ This script prepares the environment, specifies our research topic, and kicks of
Create a `.env` file in your project root with your API keys:
```
OPENAI_API_KEY=your_openai_api_key
```sh
SERPER_API_KEY=your_serper_api_key
# Add your provider's API key here too.
```
You can get a Serper API key from [Serper.dev](https://serper.dev/).
See the [LLM Setup guide](/concepts/llms#setting-up-your-llm) for details on configuring your provider of choice. You can get a Serper API key from [Serper.dev](https://serper.dev/).
## Step 8: Install Dependencies