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move global config access out of ModelConfig, and move ModelConfig into goose_providers (#9769)

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Jack Amadeo
2026-06-18 12:33:19 -04:00
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commit 80eaf8fa44
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documentation/docs/getting-started/providers.md
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@@ -1459,7 +1459,7 @@ When thinking is enabled, you can view the model's reasoning process. See [Viewi
:::info Priority Order
The thinking level is determined in this order (highest to lowest priority):
1. `request_params.thinking_level` in model configuration (via `GOOSE_PREDEFINED_MODELS`)
1. `request_params.thinking_level` in model configuration
2. `GEMINI3_THINKING_LEVEL` environment variable
3. Default value: `low`
:::
documentation/docs/guides/environment-variables.md
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@@ -60,80 +60,6 @@ export GOOSE_PROVIDER__HOST="https://api.anthropic.com"
export GOOSE_PROVIDER__API_KEY="your-api-key-here"
```
### Custom Model Definitions
Define custom model configurations with provider-specific parameters and context limits. This is useful for enabling provider beta features (like extended context windows) or configuring models with specific settings.
| Variable | Purpose | Values | Default |
|----------|---------|---------|---------|
| `GOOSE_PREDEFINED_MODELS` | Define custom model configurations | JSON array of model objects | None |
**Model Configuration Fields:**
| Field | Required | Type | Description |
|-------|----------|------|-------------|
| `id` | No | number | Optional numeric identifier |
| `name` | Yes | string | Model name used to reference this configuration |
| `provider` | Yes | string | Provider name (e.g., "databricks", "openai", "anthropic") |
| `alias` | No | string | Display name for the model |
| `subtext` | No | string | Additional descriptive text |
| `context_limit` | No | number | Override the default context window size in tokens |
| `request_params` | No | object | Provider-specific parameters included in API requests |
:::info
The `id`, `alias`, and `subtext` fields are currently not used.
:::
When a custom model's `context_limit` is specified, it takes precedence over pattern-matching but can still be overridden by explicit environment variables like [`GOOSE_CONTEXT_LIMIT`](#model-context-limit-overrides).
**Examples**
```bash
# Enable Anthropic's 1M context window with beta header
export GOOSE_PREDEFINED_MODELS='[
{
"id": 1,
"name": "claude-sonnet-4-1m",
"provider": "anthropic",
"alias": "Claude Sonnet 4 (1M context)",
"subtext": "Anthropic",
"context_limit": 1000000,
"request_params": {
"anthropic_beta": ["context-1m-2025-08-07"]
}
}
]'
# Define multiple custom models
export GOOSE_PREDEFINED_MODELS='[
{
"id": 1,
"name": "gpt-4-custom",
"provider": "openai",
"alias": "GPT-4 (200k)",
"context_limit": 200000
},
{
"id": 2,
"name": "internal-model",
"provider": "databricks",
"alias": "Internal Model (500k)",
"context_limit": 500000
}
]'
# Gemini 3 with high thinking level
export GOOSE_PREDEFINED_MODELS='[
{
"name": "gemini-3-pro",
"provider": "google",
"request_params": {"thinking_level": "high"}
}
]'
```
Custom context limits and request parameters are applied when the model is used. Custom context limits are displayed in goose CLI's [token usage indicator](/docs/guides/sessions/smart-context-management#token-usage).
### Claude Thinking Configuration
These variables control Claude's reasoning behavior. Supported on Anthropic and Databricks providers.