The phidata cookbook contains in-depth examples and code. From basic agents, function calling, structured output to advanced fine-tuning and evaluations.

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Clone the cookbook

1

Fork & clone the phidata repo

We recommend forking the phidata repo first so you can customize the cookbooks, and contribute your own recipes back to the repo.

Fork & clone the phidata repo

git clone https://github.com/agno-agi/phidata

cd into the phidata directory

cd phidata
2

Create a virtual environment

Create a virtual environment with the required libraries and install the project in editable mode. You can use a helper script or run these steps manually.

./scripts/create_venv.sh
source phienv/bin/activate
3

Run any recipe

Set your OPENAI_API_KEY

export OPENAI_API_KEY=sk-***

Install openai and duckduckgo-search

pip install openai duckduckgo-search

Run the agents/web_search.py recipe

python cookbook/agents/01_web_search.py

The phidata cookbook contains in-depth examples and code. From basic agents, function calling, structured output to advanced fine-tuning and evaluations.

​
Clone the cookbook

1

Fork & clone the phidata repo

We recommend forking the phidata repo first so you can customize the cookbooks, and contribute your own recipes back to the repo.

Fork & clone the phidata repo

git clone https://github.com/agno-agi/phidata

cd into the phidata directory

cd phidata
2

Create a virtual environment

Create a virtual environment with the required libraries and install the project in editable mode. You can use a helper script or run these steps manually.

./scripts/create_venv.sh
source phienv/bin/activate
3

Run any recipe

Set your OPENAI_API_KEY

export OPENAI_API_KEY=sk-***

Install openai and duckduckgo-search

pip install openai duckduckgo-search

Run the agents/web_search.py recipe

python cookbook/agents/01_web_search.py