Post
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๐๐๐ ๐ ๐๐ฐ๐๐ซ๐ฆ ๐จ๐ ๐๐ ๐๐ง๐ญ๐ฌ ๐ฐ๐ข๐ญ๐ก ๐๐ฅ๐๐ฆ๐ 3.2, ๐๐๐-4๐จ ๐ฆ๐ข๐ง๐ข ๐๐ง๐ ๐๐ฅ๐๐ฎ๐๐ 3.5 ๐๐จ๐ง๐ง๐๐ญ
๐๐;๐๐: I reimplemented the Swarm concept using Haystack, but made it work with both open and proprietary models ๐ซ
โ๏ธ blog article: https://haystack.deepset.ai/blog/swarm-of-agents
๐ notebook: https://haystack.deepset.ai/cookbook/swarm
Some time ago OpenAI published Swarm: an educational framework for building multi-agent systems.
Their approach focuses on two main concepts:
ใป ๐๐จ๐ฎ๐ญ๐ข๐ง๐๐ฌ: Each agent follows specific ๐ instructions and uses ๐ ๏ธ tools to execute them.
ใป ๐๐๐ง๐๐จ๐๐๐ฌ ๐ค: Agents can transfer control to one another using tool/function calling.
When I first read these ideas, I thought: ๐ด๐ช๐ฎ๐ฑ๐ญ๐ฆ ๐ฃ๐ถ๐ต ๐ฑ๐ฐ๐ธ๐ฆ๐ณ๐ง๐ถ๐ญ! And they pair well with the recent unified tool support in Haystack.
๐งโ๐ป So, I decided to re-implement these concepts using Haystack, and in just a few lines of code, I had a working prototype.
๐ Bonus feature: this implementation isn't tied to a single model provider - different agents can be powered by different models!
I replicated the ACME customer service example from the original article, with 3 Agents:
๐ Triage Agent - Llama 3.2 running on Ollama
๐ Sales Agent - Anthropic Claude 3.5 Sonnet
๐ Issues and Repairs Agent - OpenAI GPT-4o mini
Want to see the full implementation and give it a try? Check out the blog post and notebook! โจ
๐๐;๐๐: I reimplemented the Swarm concept using Haystack, but made it work with both open and proprietary models ๐ซ
โ๏ธ blog article: https://haystack.deepset.ai/blog/swarm-of-agents
๐ notebook: https://haystack.deepset.ai/cookbook/swarm
Some time ago OpenAI published Swarm: an educational framework for building multi-agent systems.
Their approach focuses on two main concepts:
ใป ๐๐จ๐ฎ๐ญ๐ข๐ง๐๐ฌ: Each agent follows specific ๐ instructions and uses ๐ ๏ธ tools to execute them.
ใป ๐๐๐ง๐๐จ๐๐๐ฌ ๐ค: Agents can transfer control to one another using tool/function calling.
When I first read these ideas, I thought: ๐ด๐ช๐ฎ๐ฑ๐ญ๐ฆ ๐ฃ๐ถ๐ต ๐ฑ๐ฐ๐ธ๐ฆ๐ณ๐ง๐ถ๐ญ! And they pair well with the recent unified tool support in Haystack.
๐งโ๐ป So, I decided to re-implement these concepts using Haystack, and in just a few lines of code, I had a working prototype.
๐ Bonus feature: this implementation isn't tied to a single model provider - different agents can be powered by different models!
I replicated the ACME customer service example from the original article, with 3 Agents:
๐ Triage Agent - Llama 3.2 running on Ollama
๐ Sales Agent - Anthropic Claude 3.5 Sonnet
๐ Issues and Repairs Agent - OpenAI GPT-4o mini
Want to see the full implementation and give it a try? Check out the blog post and notebook! โจ