Evaluate prompts across Atlas Cloud model families
Promptfoo example evaluating prompts against Atlas Cloud's deepseek-v3 model, including routing through a custom gateway.
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Why it matters
Enable developers to systematically test and compare prompt performance across multiple LLM families hosted on Atlas Cloud using a unified OpenAI-compatible API, ensuring consistent quality before production deployment.
Outcomes
What it gets done
Configure multiple Atlas Cloud-hosted chat models for side-by-side evaluation
Run deterministic and rubric-based assertions against prompt outputs
Compare generation parameters across DeepSeek, Qwen, and other model families
Set up custom gateway endpoints with flexible API key management
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/pfoo-provider-atlascloud | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
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Steps
Steps in the chain
Overview
Provider Atlascloud
This promptfoo example configures Atlas Cloud's deepseek-v3 model as an evaluation provider, with deterministic assertions and an optional custom gateway routing setup. Use it as a starting template for evaluating prompts against Atlas Cloud-hosted models with promptfoo.
What it does
This promptfoo example configures Atlas Cloud as an LLM provider, running chat evaluations against Atlas Cloud's deepseek-v3 model with generation parameters and deterministic assertions on the responses.
When to use - and when NOT to
Use it as a starting template when you want to evaluate prompts against models hosted on Atlas Cloud through promptfoo, including via a custom gateway or proxy URL. It is specific to Atlas Cloud's provider syntax; swap the model ID to use a different model from Atlas Cloud's library, or use a different promptfoo example for other providers.
Inputs and outputs
Input is an ATLASCLOUD_API_KEY environment variable and the bundled promptfooconfig.yaml; running npx promptfoo eval -c promptfooconfig.yaml produces evaluation results scored against the config's assertions. The provider syntax atlascloud:deepseek-v3 selects the model, and an optional config.apiBaseUrl/apiKeyEnvar block routes requests through a custom gateway with a different API key variable.
Integrations
Atlas Cloud, via its chat API, and promptfoo's eval framework; the example doubles as a template for routing Atlas Cloud requests through a custom proxy.
Who it's for
Developers evaluating prompts or comparing outputs against Atlas Cloud-hosted models with promptfoo, or teams needing a working example for a gateway-fronted Atlas Cloud setup.
Source README
provider-atlascloud (Atlas Cloud Example)
This directory contains an example configuration for using Atlas Cloud with promptfoo.
The example uses the deepseek-v3 chat model ID from Atlas Cloud's first-model guide. Choose other models using the exact IDs and supported options in Atlas Cloud's model library.
Prerequisites
Create an Atlas Cloud API key from the Atlas Cloud docs.
Set the environment variable:
export ATLASCLOUD_API_KEY=your_api_key_here
Quick Start
npx promptfoo@latest init --example provider-atlascloud
cd provider-atlascloud
npx promptfoo eval -c promptfooconfig.yaml
Example Config
The included promptfooconfig.yaml demonstrates:
- Atlas Cloud chat requests with generation parameters
- Deterministic assertions on the responses
Provider Syntax
providers:
- id: atlascloud:deepseek-v3
Custom Gateway Example
providers:
- id: atlascloud:deepseek-v3
config:
apiBaseUrl: https://proxy.example.com/atlas/v1
apiKeyEnvar: MY_ATLASCLOUD_TOKEN
Resources
FAQ
Common questions
Discussion
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