| +++ | |
| disableToc = false | |
| title = "✍️ Constrained Grammars" | |
| weight = 15 | |
| url = "/features/constrained_grammars/" | |
| +++ | |
| ## Overview | |
| The `chat` endpoint supports the `grammar` parameter, which allows users to specify a grammar in Backus-Naur Form (BNF). This feature enables the Large Language Model (LLM) to generate outputs adhering to a user-defined schema, such as `JSON`, `YAML`, or any other format that can be defined using BNF. For more details about BNF, see [Backus-Naur Form on Wikipedia](https://en.wikipedia.org/wiki/Backus%E2%80%93Naur_form). | |
| {{% notice note %}} | |
| **Compatibility Notice:** This feature is only supported by models that use the [llama.cpp](https://github.com/ggerganov/llama.cpp) backend. For a complete list of compatible models, refer to the [Model Compatibility]({{%relref "reference/compatibility-table" %}}) page. For technical details, see the related pull requests: [PR #1773](https://github.com/ggerganov/llama.cpp/pull/1773) and [PR #1887](https://github.com/ggerganov/llama.cpp/pull/1887). | |
| {{% /notice %}} | |
| ## Setup | |
| To use this feature, follow the installation and setup instructions on the [LocalAI Functions]({{%relref "features/openai-functions" %}}) page. Ensure that your local setup meets all the prerequisites specified for the llama.cpp backend. | |
| ## 💡 Usage Example | |
| The following example demonstrates how to use the `grammar` parameter to constrain the model's output to either "yes" or "no". This can be particularly useful in scenarios where the response format needs to be strictly controlled. | |
| ### Example: Binary Response Constraint | |
| ```bash | |
| curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{ | |
| "model": "gpt-4", | |
| "messages": [{"role": "user", "content": "Do you like apples?"}], | |
| "grammar": "root ::= (\"yes\" | \"no\")" | |
| }' | |
| ``` | |
| In this example, the `grammar` parameter is set to a simple choice between "yes" and "no", ensuring that the model's response adheres strictly to one of these options regardless of the context. | |
| ### Example: JSON Output Constraint | |
| You can also use grammars to enforce JSON output format: | |
| ```bash | |
| curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{ | |
| "model": "gpt-4", | |
| "messages": [{"role": "user", "content": "Generate a person object with name and age"}], | |
| "grammar": "root ::= \"{\" \"\\\"name\\\":\" string \",\\\"age\\\":\" number \"}\"\nstring ::= \"\\\"\" [a-z]+ \"\\\"\"\nnumber ::= [0-9]+" | |
| }' | |
| ``` | |
| ### Example: YAML Output Constraint | |
| Similarly, you can enforce YAML format: | |
| ```bash | |
| curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{ | |
| "model": "gpt-4", | |
| "messages": [{"role": "user", "content": "Generate a YAML list of fruits"}], | |
| "grammar": "root ::= \"fruits:\" newline (\" - \" string newline)+\nstring ::= [a-z]+\nnewline ::= \"\\n\"" | |
| }' | |
| ``` | |
| ## Advanced Usage | |
| For more complex grammars, you can define multi-line BNF rules. The grammar parser supports: | |
| - Alternation (`|`) | |
| - Repetition (`*`, `+`) | |
| - Optional elements (`?`) | |
| - Character classes (`[a-z]`) | |
| - String literals (`"text"`) | |
| ## Related Features | |
| - [OpenAI Functions]({{%relref "features/openai-functions" %}}) - Function calling with structured outputs | |
| - [Text Generation]({{%relref "features/text-generation" %}}) - General text generation capabilities |