Struct ChatLawProvider 

pub struct ChatLawProvider { /* private fields */ }

ChatLAW legal AI provider.

Specialized LLM for legal domain applications:

• Contract analysis and summarization
• Legal document classification
• Case law research and citation
• Regulatory compliance checking
• Legal document generation

Implementations

impl ChatLawProvider

pub fn new(_config: ProviderConfig) -> Result<Self>

Create a new ChatLAW provider.

Note

This provider requires API access partnership with ChatLAW. Contact ChatLAW via chatlaw.ai

pub fn from_env() -> Result<Self>

Create a new ChatLAW provider from environment.

pub fn with_api_key(_api_key: impl Into<String>) -> Result<Self>

Create a new ChatLAW provider with an API key.

Trait Implementations

impl Debug for ChatLawProvider

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Provider for ChatLawProvider

fn name(&self) -> &str

Returns the provider’s name (e.g., “anthropic”, “openai”).

fn complete<'life0, 'async_trait>( &'life0 self, _request: CompletionRequest, ) -> Pin<Box<dyn Future<Output = Result<CompletionResponse>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait,

Make a completion request.

fn complete_stream<'life0, 'async_trait>( &'life0 self, _request: CompletionRequest, ) -> Pin<Box<dyn Future<Output = Result<Pin<Box<dyn Stream<Item = Result<StreamChunk>> + Send>>>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait,

Make a streaming completion request.

fn supports_tools(&self) -> bool

Check if this provider supports tool/function calling.

fn supports_vision(&self) -> bool

Check if this provider supports vision (image input).

fn supports_streaming(&self) -> bool

Check if this provider supports streaming.

fn supported_models(&self) -> Option<&[&str]>

Get the list of models supported by this provider.

fn default_model(&self) -> Option<&str>

Get the default model for this provider.

fn count_tokens<'life0, 'async_trait>( &'life0 self, _request: TokenCountRequest, ) -> Pin<Box<dyn Future<Output = Result<TokenCountResult>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait,

Count tokens in a request.

fn supports_token_counting(&self) -> bool

Check if this provider supports token counting.

fn create_batch<'life0, 'async_trait>( &'life0 self, _requests: Vec<BatchRequest>, ) -> Pin<Box<dyn Future<Output = Result<BatchJob>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait,

Create a batch of requests for asynchronous processing.

fn get_batch<'life0, 'life1, 'async_trait>( &'life0 self, _batch_id: &'life1 str, ) -> Pin<Box<dyn Future<Output = Result<BatchJob>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait,

Get the status of a batch job.

fn get_batch_results<'life0, 'life1, 'async_trait>( &'life0 self, _batch_id: &'life1 str, ) -> Pin<Box<dyn Future<Output = Result<Vec<BatchResult>>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait,

Get the results of a completed batch.

fn cancel_batch<'life0, 'life1, 'async_trait>( &'life0 self, _batch_id: &'life1 str, ) -> Pin<Box<dyn Future<Output = Result<BatchJob>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait,

Cancel a batch job.

fn list_batches<'life0, 'async_trait>( &'life0 self, _limit: Option<u32>, ) -> Pin<Box<dyn Future<Output = Result<Vec<BatchJob>>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait,

List recent batch jobs.

fn supports_batch(&self) -> bool

Check if this provider supports batch processing.