blackman_client/models/
semantic_cache_config.rs

1/*
2 * Blackman AI API
3 *
4 * A transparent AI API proxy that optimizes token usage to reduce costs.  ## Authentication  Blackman AI supports two authentication methods:  ### 1. API Key (Recommended for integrations)  Use the API key created from your dashboard:  ```bash curl -X POST https://app.useblackman.ai/v1/completions \\   -H \"Authorization: Bearer sk_your_api_key_here\" \\   -H \"Content-Type: application/json\" \\   -d '{\"provider\": \"OpenAI\", \"model\": \"gpt-4\", \"messages\": [{\"role\": \"user\", \"content\": \"Hello!\"}]}' ```  ### 2. JWT Token (For web UI)  Obtain a JWT token by logging in:  ```bash curl -X POST https://app.useblackman.ai/v1/auth/login \\   -H \"Content-Type: application/json\" \\   -d '{\"email\": \"user@example.com\", \"password\": \"yourpassword\"}' ```  Then use the token:  ```bash curl -X POST https://app.useblackman.ai/v1/completions \\   -H \"Authorization: Bearer your_jwt_token\" \\   -H \"Content-Type: application/json\" \\   -d '{...}' ```  ### Provider API Keys (Optional)  You can optionally provide your own LLM provider API key via the `X-Provider-Api-Key` header, or store it in your account settings.  ## Client SDKs  Auto-generated SDKs are available for 10 languages:  - **TypeScript**: [View Docs](https://github.com/blackman-ai/typescript-sdk) - **Python**: [View Docs](https://github.com/blackman-ai/python-sdk) - **Go**: [View Docs](https://github.com/blackman-ai/go-sdk) - **Java**: [View Docs](https://github.com/blackman-ai/java-sdk) - **Ruby**: [View Docs](https://github.com/blackman-ai/ruby-sdk) - **PHP**: [View Docs](https://github.com/blackman-ai/php-sdk) - **C#**: [View Docs](https://github.com/blackman-ai/csharp-sdk) - **Rust**: [View Docs](https://github.com/blackman-ai/rust-sdk) - **Swift**: [View Docs](https://github.com/blackman-ai/swift-sdk) - **Kotlin**: [View Docs](https://github.com/blackman-ai/kotlin-sdk)  All SDKs are generated from this OpenAPI spec using [openapi-generator](https://openapi-generator.tech).  ## Quick Start  ```python # Python example with API key import blackman_client from blackman_client import CompletionRequest  configuration = blackman_client.Configuration(     host=\"http://localhost:8080\",     access_token=\"sk_your_api_key_here\"  # Your Blackman API key )  with blackman_client.ApiClient(configuration) as api_client:     api = blackman_client.CompletionsApi(api_client)     response = api.completions(         CompletionRequest(             provider=\"OpenAI\",             model=\"gpt-4o\",             messages=[{\"role\": \"user\", \"content\": \"Hello!\"}]         )     ) ```
5 *
6 * The version of the OpenAPI document: 0.1.0
7 * 
8 * Generated by: https://openapi-generator.tech
9 */
10
11use crate::models;
12use serde::{Deserialize, Serialize};
13
14#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize)]
15pub struct SemanticCacheConfig {
16    /// Whether semantic caching is enabled
17    #[serde(rename = "enabled")]
18    pub enabled: bool,
19    /// Similarity threshold for cache hits (0.0-1.0)
20    #[serde(rename = "similarity_threshold")]
21    pub similarity_threshold: f64,
22    /// Time-to-live for cache entries in seconds
23    #[serde(rename = "ttl_seconds")]
24    pub ttl_seconds: i64,
25}
26
27impl SemanticCacheConfig {
28    pub fn new(enabled: bool, similarity_threshold: f64, ttl_seconds: i64) -> SemanticCacheConfig {
29        SemanticCacheConfig {
30            enabled,
31            similarity_threshold,
32            ttl_seconds,
33        }
34    }
35}
36
blackman_client/models/semantic_cache_config.rs

blackman_client/models/
semantic_cache_config.rs
