admin-valentin/openai-agents-python
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

Merge pull request #56 from sumitaryal/fix-typo-index.md

Browse source 
Fix typo in docs/index.md for better clarity
This commit is contained in:
Rohan Mehta 2025-03-11 22:10:05 -07:00 committed by GitHub
commit 63ceb524c7
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
1 changed files with 2 additions and 2 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

4
docs/index.md
View file

@ -1,12 +1,12 @@
# OpenAI Agents SDK # OpenAI Agents SDK
The [OpenAI Agents SDK](https://github.com/openai/openai-agents-python) enables you to build agentic AI apps in a lightweight, easy to use package with very few abstractions. It's a production-ready upgrade of our previous experimentation for agents, [Swarm](https://github.com/openai/swarm/tree/main). The Agents SDK has a very small set of primitives: The [OpenAI Agents SDK](https://github.com/openai/openai-agents-python) enables you to build agentic AI apps in a lightweight, easy-to-use package with very few abstractions. It's a production-ready upgrade of our previous experimentation for agents, [Swarm](https://github.com/openai/swarm/tree/main). The Agents SDK has a very small set of primitives:
- **Agents**, which are LLMs equipped with instructions and tools - **Agents**, which are LLMs equipped with instructions and tools
- **Handoffs**, which allow agents to delegate to other agents for specific tasks - **Handoffs**, which allow agents to delegate to other agents for specific tasks
- **Guardrails**, which enable the inputs to agents to be validated - **Guardrails**, which enable the inputs to agents to be validated
In combination with Python, these primitives are powerful enough to express complex relationships between tools and agents, and allow you to build real world applications without a steep learning curve. In addition, the SDK comes with built-in **tracing** that lets you visualize and debug your agentic flows, as well as evaluate them and even fine-tune models for your application. In combination with Python, these primitives are powerful enough to express complex relationships between tools and agents, and allow you to build real-world applications without a steep learning curve. In addition, the SDK comes with built-in **tracing** that lets you visualize and debug your agentic flows, as well as evaluate them and even fine-tune models for your application.
## Why use the Agents SDK ## Why use the Agents SDK