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Install

Install this package:

emerge -a sci-ml/tensorzero

If the package is masked, you can unmask it using the autounmask tool or standard emerge options:

autounmask sci-ml/tensorzero

Or alternatively:

emerge --autounmask-write -a sci-ml/tensorzero

Package Information

Description:

TensorZero is an open-source stack for industrial-grade LLM applications. Gateway: access every LLM provider through a unified API low latency Observability: monitor your LLM systems, programmatically or with a UI Optimization: optimize your prompts, models, and inference strategies Evaluations: benchmark individual inferences or end-to-end workflows Experimentation: deploy with built-in A/B testing, fallbacks, etc.

Homepage:

https://www.tensorzero.com/

License:

Apache-2.0

Versions

Metadata

Description

• TensorZero is an open-source stack for industrial-grade LLM applications. Gateway: access every LLM provider through a unified API low latency Observability: monitor your LLM systems, programmatically or with a UI Optimization: optimize your prompts, models, and inference strategies Evaluations: benchmark individual inferences or end-to-end workflows Experimentation: deploy with built-in A/B testing, fallbacks, etc.

Maintainers

• jaypeche (jaypeche@gmail.com) - Type: person

Upstream

• Bugs: https://github.com/tensorzero/tensorzero/issues/
• Remote IDs:
  • github: tensorzero/tensorzero

<pkgmetadata>
	<maintainer type="person">
		<email>jaypeche@gmail.com</email>
		<name>jaypeche</name>
	</maintainer>
	<longdescription> 
  TensorZero is an open-source stack for industrial-grade LLM applications.

    Gateway: access every LLM provider through a unified API low latency
    Observability: monitor your LLM systems, programmatically or with a UI
    Optimization: optimize your prompts, models, and inference strategies
    Evaluations: benchmark individual inferences or end-to-end workflows
    Experimentation: deploy with built-in A/B testing, fallbacks, etc.
</longdescription>
	<use>
		<flag name="client">Support for Python client and dependencies</flag>
		<flag name="examples">Add examples for TensorZero App</flag>
		<flag name="gateway">Include functional Gateway service</flag>
		<flag name="systemd">Include systemd service</flag>
	</use>
	<upstream>
		<bugs-to>https://github.com/tensorzero/tensorzero/issues/</bugs-to>
		<remote-id type="github">tensorzero/tensorzero</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

• [Error] Missing md5-cache for ebuild tensorzero-9999
• [Error] Missing md5-cache for ebuild tensorzero-2026.3.4
• [Error] Missing md5-cache for ebuild tensorzero-2026.2.2
• [Error] Missing md5-cache for ebuild tensorzero-2026.1.5

USE Flags

Manage flags for this package: euse -i <flag> -p sci-ml/tensorzero | euse -E <flag> -p sci-ml/tensorzero | euse -D <flag> -p sci-ml/tensorzero

Files

• tensorzero
• tensorzero.service

Manifest