Skip to main content

WZRD velocity signal tool for CrewAI agents

Project description

crewai-wzrd

WZRD velocity signal tool for CrewAI. Gives agents real-time model momentum data for task-aware model selection.

Free tier. No auth required. Signals cached 60s.

Install

pip install crewai-wzrd

Usage

from crewai import Agent, Task, Crew
from crewai_wzrd import WzrdVelocityTool

researcher = Agent(
    role="Model Selection Specialist",
    tools=[WzrdVelocityTool()],
    goal="Pick the best AI model for each task using real-time velocity data"
)

task = Task(
    description="Find the fastest model for code generation right now",
    agent=researcher,
    expected_output="Model name with supporting velocity data"
)

crew = Crew(agents=[researcher], tasks=[task])
result = crew.kickoff()

The tool auto-detects capability from the task description (code, reasoning, chat, vision) and filters signals accordingly.

What it returns

WZRD Velocity Signal (capability: code)
Top models by momentum:
  1. deepseek/deepseek-coder-v2 - trend: surging, score: 0.87, confidence: normal
  2. anthropic/claude-3.5-sonnet - trend: accelerating, score: 0.82, confidence: normal
  3. openai/gpt-4o - trend: stable, score: 0.79, confidence: normal
Recommended: deepseek/deepseek-coder-v2 - momentum is surging.
Signal timestamp: 2026-04-02T12:00:00Z

Links

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

crewai_wzrd-0.1.0.tar.gz (5.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

crewai_wzrd-0.1.0-py3-none-any.whl (3.8 kB view details)

Uploaded Python 3

File details

Details for the file crewai_wzrd-0.1.0.tar.gz.

File metadata

  • Download URL: crewai_wzrd-0.1.0.tar.gz
  • Upload date:
  • Size: 5.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.12

File hashes

Hashes for crewai_wzrd-0.1.0.tar.gz
Algorithm Hash digest
SHA256 5dc1abadf9ced0261492a1d8fbcb6592735fe44325a9a868b47a4af5ccc0f2ee
MD5 779aa40d4aa6b2a5574bf4f0c423bf3d
BLAKE2b-256 aefe07edc38e21af99d408fc3a78b59d1f92c0117220970cc0f4219b8e19b6e1

See more details on using hashes here.

File details

Details for the file crewai_wzrd-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: crewai_wzrd-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 3.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.12

File hashes

Hashes for crewai_wzrd-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 9e815cb4d813732c75307f8c8c2585022d0b66205cb7376f6f6d645e68f44eb6
MD5 62547ab2c718cb11fe8d06dd01823762
BLAKE2b-256 74dac7a68a5aed9a7c8b4f0473d98405063919e6023539eeed26a3edcd952342

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page