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feat: Config eternalai model from env#927

Merged
jkbrooks merged 3 commits into
elizaOS:mainfrom
TrustlessComputer:pull-request
Dec 10, 2024
Merged

feat: Config eternalai model from env#927
jkbrooks merged 3 commits into
elizaOS:mainfrom
TrustlessComputer:pull-request

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@leo-super-dev
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Risks

Low

Background

What does this PR do?

Config eternalai model from env

What kind of change is this?

More flexible than with env

Why are we doing this? Any context or related work?

Currently, Eliza supports only OpenAI. However, centralized AI providers limit user control, pose trust issues, and create single points of failure with high costs and restricted access. Decentralized AI offers a more transparent, accessible, and resilient alternative, empowering users with greater autonomy.

Learn more about our decentralized inference AI: https://eternalai.org/api

Documentation changes needed?

My changes require a change to the project documentation.

Testing

Where should a reviewer start?

Reviewers start from .env.example

Detailed testing steps

Run pnpm start --characters="path/to/your/characters/eternal.character.json"

Deploy Notes

Database changes

No change

Deployment instructions

Change .env by adding more

ETERNALAI_MODEL=#require

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@mcp97 mcp97 left a comment

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Thanks for doing this please address comment then good to go :)

Comment thread packages/core/src/models.ts Outdated
Comment on lines +34 to +36
[ModelClass.SMALL]: settings.ETERNALAI_MODEL,
[ModelClass.MEDIUM]: settings.ETERNALAI_MODEL,
[ModelClass.LARGE]: settings.ETERNALAI_MODEL,
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Can we add these existing values as backups if case nothing is configured?

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@leo-super-dev leo-super-dev Dec 9, 2024

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Yes. I did it
image

Thank for your comment sir!

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LGTM thanks for working on this :)

@jkbrooks jkbrooks merged commit 9b9b530 into elizaOS:main Dec 10, 2024
lalalune pushed a commit that referenced this pull request May 3, 2026
feat: Config eternalai model from env
FranceFlapjack pushed a commit to FranceFlapjack/eliza that referenced this pull request May 16, 2026
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3 participants