009_DSPy_ReAct_Enhanced

A DSPy 3.0.1 ReAct module for building AI agents that use tools while reasoning through tasks.

In plain words
What is it for?
Use it when creating agents that need to call tools as they work through a problem.
Why use it?
It gives tool-enabled agent workflows a defined way to combine reasoning and actions.

Cursor rule for Cursor

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add rules/aiflowml/cursor_rules/009_dspy_react_enhanced
Clone the repo
git clone --depth 1 https://github.com/AIFlowML/cursor_rules

Made for: Cursor.

Per session 21 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,167 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00021 $0.04167
Opus 5 $0.00010 $0.02083
Sonnet 5 $0.00004 $0.00833
Haiku 4.5 $0.00002 $0.00417

Measured 2d ago against content hash 6d77804e5a24, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

009_DSPy_ReAct_Enhanced scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

response = requests.get(f"https://api.example.com/{query}")
.cursor/rules/DSPy_3/009_DSPy_ReAct_Enhanced.mdc · 601 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 601 lines · 21 tokens per session scan A 6d77804e5a24

Subscribe to this mod's changes

009_DSPy_ReAct_Enhanced is a cursor rule published in the GitHub repository AIFlowML/cursor_rules (25 stars, last pushed 1y ago), with no licence file. It adds 21 tokens to every session and 4,167 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.