Joined October 2020
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25 Jan 2023
Want to talk about data?
Data science, career questions, practical machine learning, and more?
Join @DataTalksClub! The link is in the profile description.
Learn more about our activities in the thread! 🧵
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DataTalksClub retweeted
Jun 11
Agent demos often stop at the agent loop:
Plan.
Call tools.
Return an answer.
Production needs the layer around it.
Workshop with Nicholas Lotz: luma.com/wz20rm8n
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ALT Workshop checklist for managing durable agents in production, outlining workflow persistence, failure recovery, and event details.
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Jun 12
Most agent frameworks wrap the same loop:
Call model -> run requested tools -> append results -> call model again.
Stop when the model response has no tool calls left.
That is the basic agentic loop.
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Jun 12
After that, the framework choice becomes easier.
Ask: how does it store history, validate arguments, expose traces, and stop runaway loops?
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Jun 12
Workshop recording:
youtube.com/live/RAqLWJsLZb4
Want to learn how to build RAG and agents? Join LLM Zoomcamp, our free course that starts on June 8: github.com/DataTalksClub/llm…
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Jun 11
Agent demos often stop at the agent loop:
Plan.
Call tools.
Return an answer.
Production needs the layer around it.
Workshop with Nicholas Lotz: luma.com/wz20rm8n
1/5
ALT Workshop checklist for managing durable agents in production, outlining workflow persistence, failure recovery, and event details.
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Jun 11
In the workshop, Nicholas will cover:
- Durable workflow state
- Resuming after failures
- Retrying tool calls
- Human approval steps
- Execution traces
- Deployment patterns
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Jun 11
Running Durable Agents in Production
with Nicholas Lotz
Jun 16, 4:30-6:00 PM CET
YouTube
Register: luma.com/wz20rm8n
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Function calling does not mean the LLM runs your Python function.
It returns a structured request.
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For debugging agents, start here:
Did the model request the right tool with the right arguments?
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Workshop recording:
youtube.com/live/RAqLWJsLZb4
Want to learn how to build RAG and agents? Join LLM Zoomcamp, our free course that starts on June 8: github.com/DataTalksClub/llm…
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Don't miss our upcoming live free webinar on The Agentic Shift in Data Engineering: From Pipeline Builders to Architects of Controlled Chaos with Nik B. Get ready to learn new techniques and get your questions answered by an expert in the field.
👉 luma.com/hpuirqjd
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Your agent calls a tool to create a support ticket.
The request times out.
Should it retry?
If the ticket was already created, the retry can create a duplicate.
Workshop: luma.com/wz20rm8n
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ALT A document discussing tool calling in production environments, outlining ticket creation and retry issues, with a workshop invitation.
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Nicholas Lotz will cover how to handle this in production agent workflows:
- Retry policies
- Tool call history
- Timeouts
- Recovery paths
- Execution traces
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Running Durable Agents in Production
Jun 16, 4:30 CET
YouTube
Register: luma.com/wz20rm8n
5/5
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