Most LLM agents work well for small tool-calling loops, but they start to break down when the task becomes multi-step, stateful, and artifact-heavy. langchen’s deep agent Designed for that difference. …
Structured
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AI Tools
A coding guide to building a scalable end-to-end machine learning data pipeline using Daft for high-performance structured and image data processing
In this tutorial, we will explore how we use fearlessly As a high-performance, Python-native data engine for building end-to-end analytical pipelines. We start by loading the real-world MNIST dataset, then …
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AI News
OpenAI Releases Symphony: An Open Source Agent Framework for Orchestrating Autonomous AI Agents through Structured, Scalable Implementation Runs
OpenAI has released symphonyAn open-source framework designed to manage autonomous AI coding agents through structured ‘implementation runs’. This project provides a system to automate software …
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AI News
A coding implementation to build a hierarchical planner AI agent using open-source LLM with tool execution and structured multi-agent reasoning
def executor_agent(step: Dict(str, Any), context: Dict(str, Any)) -> StepResult: step_id = int(step.get(“id”, 0)) title = step.get(“title”, f”Step {step_id}”) tool = step.get(“tool”, “llm”) ctx_compact = { “goal”: context.get(“goal”), “assumptions”: context.get(“assumptions”, ()), …
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AI Tools
How to design an agent workflow for tool-driven route optimization with deterministic computation and structured output
In this tutorial, we create a production-style route optimizer agent for a logistics dispatch center using the latest Langchain Agent API. We design a tool-driven workflow in which the agent …
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AI News
Google AI introduces WebMCP to enable direct and structured website interactions for new AI agents
Google is officially making Chrome a playground for AI agents. For years, AI ‘browsers’ have relied on a messy process: taking screenshots of websites, running them through vision models, and …
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Both structured and unstructured data are key assets of modern organizations, but they are fundamentally different. Organizations must understand these differences and manage each type effectively to utilize their full …
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Today, we’re announcing Structured Output on Amazon Bedrock – a capability that fundamentally changes how you can get valid JSON responses from Foundation models through restricted decoding for schema compliance. …
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Author(s): Ajit Originally published on Towards AI. Getting Structured Output from LLM: Guide to Prompts, Parsers, and Tools Large language models (LLMs) like GPT-4 are incredibly powerful at generating human-like …
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AI News
MarkTechPost Releases ‘AI2025Dev’: A Structured Intelligence Layer for AI Models, Benchmarks, and Ecosystem Signals
MarketTechPost has released ai2025dave, Its 2025 Analytics platform (available to AI devs and researchers without any signup or login) is designed to transform the year’s AI activity into a queryable …