Browsing: Planning

def tool_shot_planner(instruction, captions): “””Global-aware storyboard sub-queries from instruction + caption bank.””” bank = “; “.join(sorted({c[“caption”] for c in captions})) if llm.available(): sys_p = (“You are VideoAgent’s…

I’ve been thinking a lot this week about this subtitle from the July Community Events announcement: “Mid-Year Review, Refocus, Recommit.” It reminds me of the “reduce,…

Government ministries are deploying Google Cloud generative AI across municipal agencies to automate council planning operations.Public sector administration handles vast volumes of unstructured data that delay…

banner(“5) Evaluate skills on 5 quality dimensions (quality gate)”) DIMS = [“safety”, “completeness”, “executability”, “maintainability”, “cost_awareness”] LEVEL_SCORE = {“Excellent”: 4, “Good”: 3, “Fair”: 2, “Poor”: 1,…

Our May tips talked about choosing the cadence that works best for you. Maghan shared how she’s experimenting with semesters instead of quarters, because that feels…

to large enterprises, more and more organizations are embracing AI agents and adopting multi-agent architectures to deliver reliable, scalable, and manageable solutions. AI agent and LLM…

TOOLS = { “calc”: lambda expression: _safe_calc(expression), “kb_search”: lambda query, k=3: _kb_search(query, int(k)), “extract_json”: lambda text: _extract_json(text), “write_file”: lambda path, content: _write_file(path, content), } TOOL_SCHEMAS =…

class RoutedAgent: def __init__(self, server: MCPToolServer, router: HybridMCPRouter, model: str): self.server = server self.router = router self.model = model def discover_exposed_tools(self, exposed_tool_names: List[str]) -> List[Dict[str, Any]]:…

I mentioned to Steve the other day that I wasn’t really feeling April as a “start” as much as an “end” of a phase — and…

In this tutorial, we implement an advanced agentic AI system using the CAMEL framework, orchestrating multiple specialized agents to collaboratively solve a complex task. We design…