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a distributed trainer to be able to train agents across a cluster of machines

Project description

Composabl

Composabl helps you build Autonomous Agents! Through an easy SDK you get access to outscaled simulator training tools.

Licenses / Seats

Composabl is an enterprise platform and requires an API key to use.

We offer 3 types of licenses:

  • Enterprise: for enterprise projects and agent creations
  • Personal: for personal usage and testing (typically offered to System Integrators)
  • Trial: validate the Composabl platform (requires sales contact person)

One key is needed per user (seat-based licensing)

You can request an API Key through the following methods:

Getting Started

  1. Download the Composabl SDK: pip install composabl
  2. Request an API Key
  3. Get a simulator or use one of the prebuilt ones
  4. Create an Agent or see our examples

Project details


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composabl_train-0.9.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (10.4 MB view details)

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composabl_train-0.9.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (10.3 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

composabl_train-0.9.3-cp311-cp311-macosx_11_0_arm64.whl (1.7 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

composabl_train-0.9.3-cp311-cp311-macosx_10_9_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

composabl_train-0.9.3-cp311-cp311-macosx_10_9_universal2.whl (3.5 MB view details)

Uploaded CPython 3.11macOS 10.9+ universal2 (ARM64, x86-64)

composabl_train-0.9.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.3 MB view details)

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composabl_train-0.9.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (9.2 MB view details)

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composabl_train-0.9.3-cp310-cp310-macosx_11_0_arm64.whl (1.7 MB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

composabl_train-0.9.3-cp310-cp310-macosx_10_9_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

composabl_train-0.9.3-cp310-cp310-macosx_10_9_universal2.whl (3.5 MB view details)

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