Building Effective Agents with Anthropic’s Best Practices and smolagents ❤️
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Kissan Hari
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Combining smolagents with Anthropic’s best practices simplifies building powerful AI agents:
1. Code-Based Agents: Write actions as Python code, reducing steps by 30%.
2. Prompt Chaining: Break tasks into sequential subtasks with validation gates.
3. Routing: Classify inputs and direct them to specialized handlers.
4. Fallback: Handle tasks even if classification fails.
https://huggingface.co./blog/Sri-Vigneshwar-DJ/building-effective-agents-with-anthropics-best-pra
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Building Effective Agents with Anthropic’s Best Practices and smolagents ❤️
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Sri-Vigneshwar-DJ's
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Combining smolagents with Anthropic’s best practices simplifies building powerful AI agents:
1. Code-Based Agents: Write actions as Python code, reducing steps by 30%.
2. Prompt Chaining: Break tasks into sequential subtasks with validation gates.
3. Routing: Classify inputs and direct them to specialized handlers.
4. Fallback: Handle tasks even if classification fails.
https://huggingface.co./blog/Sri-Vigneshwar-DJ/building-effective-agents-with-anthropics-best-pra
1. Code-Based Agents: Write actions as Python code, reducing steps by 30%.
2. Prompt Chaining: Break tasks into sequential subtasks with validation gates.
3. Routing: Classify inputs and direct them to specialized handlers.
4. Fallback: Handle tasks even if classification fails.
https://huggingface.co./blog/Sri-Vigneshwar-DJ/building-effective-agents-with-anthropics-best-pra
upvoted
an
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25 days ago
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Building Effective Agents with Anthropic’s Best Practices and smolagents ❤️
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