Blog · Topic
Agents
6 posts. See all posts.
Adding probabilistic forecasting to LangChain, the OpenAI Agents SDK and the Claude API
Minimal code to give a LangChain, OpenAI Agents SDK or Claude API agent a forecasting tool, and the tool description that makes it behave.
Agents that decide under uncertainty: using forecast quantiles, not just the median
How an agent turns forecast quantiles into decisions: stock levels from the critical ratio, capacity alerts from the 0.9 quantile, budget ranges.
How to give Claude, Cursor or any AI agent a forecasting tool (MCP)
Connect a time-series forecasting tool to Claude Code, Cursor, VS Code, Claude Desktop, the Claude API, OpenClaw and Hermes Agent over MCP, with exact configs.
The split that works: the LLM reads the context, a forecasting model does the numbers
An architecture for AI agents that forecast: the LLM gathers data and turns context into covariates, a forecasting model returns quantiles.
What 2025-2026 research says about LLMs reasoning over time series
A review of recent papers on how well language models reason about time series, where they fail on numbers and calibration, and what hybrids do better.
Why language models are bad at forecasting numbers
Why chat LLMs struggle to forecast numeric time series, what the research shows, and where they genuinely help.