Per-Agent Model Override
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- Dominant language
- Python
- Stars
- 2
- Forks
- 2
- Avg merge
- 1d 4h
- Merged PRs (30d)
- 4
Description
We should have a way for users to specify different models for each agent. I think the functionality should be to have a default model that all agents use unless a user specifically provides a different one.
Config should likely change to something similar to this:
{
"models": {
"default": { // This 'default' model is required in the config
"model": "gpt-5.4",
"api_key": "${API_KEY}",
"base_url": "${API_BASE_URL:-https://livai-api.llnl.gov/v1}"
},
"my_model": {
"model": "claude-sonnet-3.7",
"api_key": "${API_KEY}",
"base_url": "${API_BASE_URL:-https://livai-api.llnl.gov/v1}"
}
},
"agents": [
{
"agent_name": "AgentWithDefaultModel",
"description": "Agent using the default model (no 'model' setting)",
"domain": "my_domain",
"mcp_servers": ["some_server"],
"instructions": "Do something",
},
{
"agent_name": "AgentWithCustomModel",
"description": "Agent using a custom model (has 'model' setting)",
"domain": "my_domain",
"mcp_servers": ["some_server"],
"instructions": "Do something",
"model": "my_model"
}
]
}
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No files or tests are named. Start by locating the configuration parser and agent/model construction entry points, then trace how the current model is selected. Done means a required default model works for agents without an override and an explicitly named model is used for agents that specify one.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, backend
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 62/100