jevbooks

← All projects

pi-taskmesh

0x1f/pi-taskmesh

Task-aware multi-model orchestration for Pi, with optional Jev judgment backend.

Infra / SDKs / Integrations0.27Runner-up: Classification & Routing
Automated README summary

Automatically summarized from the README on 30 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A Pi extension that decomposes eligible requests into 1–6 validated tasks, routes each to an authenticated model, and runs them via native pi-subagents. Default path uses Pi chat models; Jev is optional.

How it uses Jev

When backend is jev, Jev judges whether an eligible request should be delegated and selects a model per task via a choice judgment over up to 16 candidates. Pi still produces the plan; pi-subagents executes children. Backend is switched with /taskmesh backend jev.

Primitives:choice

Technique worth stealing

Shortlist 16 candidates by taking top-ranked representatives of distinct catalog route namespaces, then fill by score, so large virtual-group families don't crowd out other routes.

Try it

pi-bolt install git:github.com/0x1f/pi-taskmesh, restart, then /taskmesh run <request>

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.14.0
Project signals
jev-1.14.0
Category
jev-1.14.0
Pattern tags
jev-1.14.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectnot found in the excerpt0.03
  • Shows a System One patternnot found in the excerpt0.14
  • Describes handling uncertaintynot found in the excerpt0.07
  • Reports measured numbersnot found in the excerpt0.02
  • Is a runnable toolFound in material0.98
  • Top-10 learning shortlist signalnot found in the excerpt0.08
  • Is a replica of the modelnot found in the excerpt0.06
  • Solves a common problem (0–2)score on a 0–2 scale1.08 / 2
  • About JevFound in material0.77
Signals
Jev is core to the project0.03Shows a System One pattern0.14Describes handling uncertainty0.07Reports measured numbers0.02Is a runnable tool0.98Top-10 learning shortlist signal0.08Is a replica of the model0.0600.51Solves a common problem (0–2)1.08 / 2012

no-judgment band (0.40–0.60)

Design patterns
Funnel0.59Fail open, fail closed0.32Ghostwriter0.2900.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 30 Oct 2026.