mirror of
https://github.com/fabro-sh/fabro.git
synced 2026-09-05 08:10:39 +00:00
21aff5431c
Update 47 MDX doc pages, OpenAPI spec, SVG diagram, language grammar, frontend demo data, marketing page, skills, and README to use .fabro extension. Add "fabro" to fileTypes in language grammars. Document stack.child_workflow alongside stack.child_dotfile. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
139 lines
5.1 KiB
Text
139 lines
5.1 KiB
Text
---
|
|
title: "Models"
|
|
description: "How Fabro routes tasks to LLM models and providers"
|
|
---
|
|
|
|
No single model is best at everything. Fabro lets you assign the right model to each workflow step — cheap, fast models for boilerplate, frontier models for hard reasoning, and a different provider for cross-critique so the reviewer brings fresh eyes. When a provider goes down, Fabro can fail over automatically.
|
|
|
|
<Frame>
|
|
<img src="/images/ensemble-workflow.svg" alt="Ensemble workflow: fan out to Opus and Gemini Pro, merge, then synthesize" />
|
|
</Frame>
|
|
|
|
## Model catalog
|
|
|
|
| Model | Provider | Aliases | Context | Cost (in/out per Mtok) | Speed |
|
|
|---|---|---|---|---|---|
|
|
| `claude-opus-4-6` | anthropic | `opus`, `claude-opus` | 1M | $15.00 / $75.00 | 25 tok/s |
|
|
| `claude-sonnet-4-5` | anthropic | `sonnet`, `claude-sonnet` | 200K | $3.00 / $15.00 | 50 tok/s |
|
|
| `claude-haiku-4-5` | anthropic | `haiku`, `claude-haiku` | 200K | $0.80 / $4.00 | 100 tok/s |
|
|
| `gpt-5.2` | openai | `gpt5` | 1M | $1.80 / $14.00 | 65 tok/s |
|
|
| `gpt-5-mini` | openai | `gpt5-mini` | 1M | $0.20 / $2.00 | 70 tok/s |
|
|
| `gpt-5.2-codex` | openai | | 1M | $1.80 / $14.00 | 100 tok/s |
|
|
| `gpt-5.3-codex` | openai | `codex` | 1M | $1.80 / $14.00 | 100 tok/s |
|
|
| `gpt-5.3-codex-spark` | openai | `codex-spark` | 128K | n/a | 1000 tok/s |
|
|
| `gpt-5.4` | openai | `gpt54` | 1M | $2.50 / $15.00 | 70 tok/s |
|
|
| `gpt-5.4-pro` | openai | `gpt54-pro` | 1M | $30.00 / $180.00 | 20 tok/s |
|
|
| `gemini-3.1-pro-preview` | gemini | `gemini-pro` | 1M | $2.00 / $12.00 | 85 tok/s |
|
|
| `gemini-3.1-pro-preview-customtools` | gemini | `gemini-customtools` | 1M | $2.00 / $12.00 | 85 tok/s |
|
|
| `gemini-3-flash-preview` | gemini | `gemini-flash` | 1M | $0.50 / $3.00 | 150 tok/s |
|
|
| `gemini-3.1-flash-lite-preview` | gemini | `gemini-flash-lite` | 1M | $0.20 / $1.50 | 200 tok/s |
|
|
| `kimi-k2.5` | kimi | `kimi` | 262K | $0.60 / $3.00 | 50 tok/s |
|
|
| `glm-4.7` | zai | `glm`, `glm4` | 203K | $0.60 / $2.20 | 100 tok/s |
|
|
| `minimax-m2.5` | minimax | `minimax` | 197K | $0.30 / $1.20 | 45 tok/s |
|
|
| `mercury-2` | inception | `mercury` | 131K | $0.20 / $0.80 | 1000 tok/s |
|
|
|
|
Each provider requires its own API key set via environment variable (e.g. `ANTHROPIC_API_KEY`, `OPENAI_API_KEY`, `GEMINI_API_KEY`). See the [Quick Start](/getting-started/quick-start) for setup.
|
|
|
|
## Default models
|
|
|
|
When no model is specified, the `fabro exec` command uses a default model based on the provider:
|
|
|
|
| Provider | Default model |
|
|
|---|---|
|
|
| `anthropic` | `claude-opus-4-6` |
|
|
| `openai` | `gpt-5.2-codex` |
|
|
| `gemini` | `gemini-3.1-pro-preview` |
|
|
| `kimi` | `kimi-k2.5` |
|
|
| `zai` | `glm-4.7` |
|
|
| `minimax` | `minimax-m2.5` |
|
|
| `inception` | `mercury` |
|
|
|
|
## Using models in workflows
|
|
|
|
Assign models to workflow nodes using [model stylesheets](/workflows/stylesheets), which use a CSS-like syntax:
|
|
|
|
```dot title="example.fabro"
|
|
digraph Example {
|
|
graph [
|
|
model_stylesheet="
|
|
* { model: claude-haiku-4-5; }
|
|
.coding { model: claude-sonnet-4-5; reasoning_effort: high; }
|
|
#review { model: gemini-3.1-pro-preview; }
|
|
"
|
|
]
|
|
|
|
spec [label="Write Spec"]
|
|
implement [label="Implement", class="coding"]
|
|
review [label="Review"]
|
|
}
|
|
```
|
|
|
|
This routes the spec node to Haiku (the default), implementation to Sonnet, and review to Gemini Pro.
|
|
|
|
## Overriding the default model
|
|
|
|
Model stylesheets set per-node models inside the workflow graph, but you can also override the default model for an entire run. This is useful for quick experimentation or when you want to swap models without editing the DOT file.
|
|
|
|
### CLI flags
|
|
|
|
Pass `--model` and optionally `--provider` to `fabro run`:
|
|
|
|
```bash
|
|
fabro run files-internal/demo/01-hello.fabro --model claude-opus-4-6
|
|
fabro run files-internal/demo/04-pipeline.fabro --model gemini-3.1-pro-preview
|
|
```
|
|
|
|
These flags set the default model for all nodes that don't have an explicit model assigned via a stylesheet. The provider is automatically inferred from the model catalog — you only need `--provider` for models not in the catalog or to force a specific provider.
|
|
|
|
### Run config TOML
|
|
|
|
For repeatable runs, set the model in a run config file:
|
|
|
|
```toml title="run.toml"
|
|
version = 1
|
|
goal = "Implement the feature"
|
|
graph = "implement.fabro"
|
|
|
|
[llm]
|
|
model = "claude-sonnet-4-5"
|
|
|
|
[llm.fallbacks]
|
|
anthropic = ["gemini", "openai"]
|
|
gemini = ["anthropic", "openai"]
|
|
```
|
|
|
|
Then launch with:
|
|
|
|
```bash
|
|
fabro run run.toml
|
|
```
|
|
|
|
The `[llm.fallbacks]` table is optional. It maps each provider to an ordered list of fallback providers to try when the primary is unavailable.
|
|
|
|
<Note>
|
|
The precedence order is: node-level stylesheet > run config TOML > CLI flags > server defaults. More specific settings always win.
|
|
</Note>
|
|
|
|
## CLI commands
|
|
|
|
### List models
|
|
|
|
View all available models, or filter by provider:
|
|
|
|
```bash
|
|
fabro model list
|
|
fabro model list --provider anthropic
|
|
fabro model list --query codex
|
|
```
|
|
|
|
### Test models
|
|
|
|
Verify that your API keys are working by sending a test prompt to each configured provider:
|
|
|
|
```bash
|
|
fabro model test
|
|
fabro model test --model claude-sonnet-4-5
|
|
fabro model test --provider openai
|
|
```
|
|
|
|
This is useful for confirming connectivity after setup or when adding a new provider key.
|