rust_llm 2.1.1

One API for chat, tools, agents, structured output, embeddings, images, audio, batches, MCP, and judgments across LLM providers.
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157

//! Port of `lib/ruby_llm/models/schema.rb`: the JSON Schema every model registry entry conforms
//! to. RubyLLM builds it with Schematist; this writes out the same Draft 2020-12 document.

use serde_json::{Map, Value, json};

use super::refresh::{MODELS_DEV_INPUT_MODALITIES, MODELS_DEV_OUTPUT_MODALITIES};

/// `Models::Schema::CAPABILITIES`.
pub const CAPABILITIES: &[&str] = &[
    "streaming",
    "function_calling",
    "tool_choice",
    "parallel_tool_calls",
    "structured_output",
    "predicted_outputs",
    "distillation",
    "fine_tuning",
    "batch",
    "realtime",
    "image_generation",
    "speech_generation",
    "transcription",
    "translation",
    "citations",
    "reasoning",
    "caching",
    "moderation",
    "json_mode",
    "vision",
    "video",
    "ocr",
    "judgment",
];

/// `Model::Pricing::CATEGORIES`.
const PRICING_CATEGORIES: &[&str] = &["text_tokens", "images", "audio_tokens", "embeddings"];
/// `Model::PricingCategory::TIERS`.
const PRICING_TIERS: &[&str] = &["standard", "batch", "long_context"];
/// `Model::PricingTier::ATTRIBUTES`.
const PRICING_ATTRIBUTES: &[&str] = &[
    "input_per_million",
    "output_per_million",
    "cache_read_input_per_million",
    "cache_write_input_per_million",
    "reasoning_output_per_million",
];

fn nullable(description: &str, schema: Value) -> Value {
    json!({ "description": description, "anyOf": [schema, { "type": "null" }] })
}

fn object(properties: Map<String, Value>) -> Value {
    json!({
        "type": "object",
        "properties": properties,
        "required": [],
        "additionalProperties": false
    })
}

/// `Models::Schema.json_schema`: the schema for one model entry. Wrap it in an array schema to
/// validate a whole registry.
pub fn json_schema() -> Value {
    let tier = object(
        PRICING_ATTRIBUTES
            .iter()
            .map(|a| (a.to_string(), json!({ "type": "number", "minimum": 0 })))
            .collect(),
    );
    let category = {
        let mut properties: Map<String, Value> = PRICING_TIERS
            .iter()
            .map(|t| (t.to_string(), tier.clone()))
            .collect();
        properties.insert(
            "long_context_threshold".into(),
            json!({
                "type": "integer",
                "description": "Prompt size above which long_context rates apply",
                "minimum": 0
            }),
        );
        object(properties)
    };
    let mut pricing = object(
        PRICING_CATEGORIES
            .iter()
            .map(|c| (c.to_string(), category.clone()))
            .collect(),
    );
    pricing["description"] = "Pricing information for the model".into();

    json!({
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "title": "RubyLLM::Models::Schema",
        "description": "A model entry in the RubyLLM model registry",
        "type": "object",
        "properties": {
            "id": { "type": "string", "description": "Unique identifier for the model" },
            "name": { "type": "string", "description": "Display name of the model" },
            "provider": {
                "type": "string",
                "description": "Provider of the model (e.g., openai, anthropic, mistral)"
            },
            "family": nullable("Model family (e.g., gpt-4, claude-3)", json!({ "type": "string" })),
            "created_at": nullable("Creation date of the model", json!({ "type": "string" })),
            "context_window": nullable(
                "Maximum context window size",
                json!({ "type": "integer", "minimum": 0 })
            ),
            "max_output_tokens": nullable(
                "Maximum output tokens",
                json!({ "type": "integer", "minimum": 0 })
            ),
            "knowledge_cutoff": nullable(
                "Knowledge cutoff date",
                json!({ "type": "string", "format": "date" })
            ),
            "modalities": {
                "type": "object",
                "properties": {
                    "input": {
                        "type": "array",
                        "description": "Supported input modalities",
                        "items": { "type": "string", "enum": MODELS_DEV_INPUT_MODALITIES }
                    },
                    "output": {
                        "type": "array",
                        "description": "Supported output modalities",
                        "items": { "type": "string", "enum": MODELS_DEV_OUTPUT_MODALITIES }
                    }
                },
                "required": ["input", "output"],
                "additionalProperties": false
            },
            "capabilities": {
                "type": "array",
                "description": "Model capabilities",
                "items": { "type": "string", "enum": CAPABILITIES }
            },
            "pricing": pricing,
            "metadata": {
                "type": "object",
                "properties": {},
                "required": [],
                "additionalProperties": true,
                "description": "Additional metadata about the model"
            },
            "unlisted_at": nullable(
                "When the provider stopped listing the model",
                json!({ "type": "string" })
            )
        },
        "required": ["id", "name", "provider", "context_window", "max_output_tokens"],
        "additionalProperties": false
    })
}