Enum Tool

Source

pub enum Tool {
    Function {
        function_declarations: Vec<FunctionDeclaration>,
    },
    GoogleSearch {
        google_search: GoogleSearchConfig,
    },
}

Expand description

Tool that can be used by the model

Variants§

§

Function

Function-based tool

Fields

§function_declarations: Vec<FunctionDeclaration>

The function declaration for the tool

§

GoogleSearch

Google Search tool

Fields

§google_search: GoogleSearchConfig

The Google Search configuration

Implementations§

Source §

impl Tool

Source

pub fn new(function_declaration: FunctionDeclaration) -> Self

Create a new tool with a single function declaration

Examples found in repository ?

examples/google_search_with_functions.rs (line 36)

9async fn main() -> Result<(), Box<dyn std::error::Error>> {
10    // Get API key from environment variable
11    let api_key = env::var("GEMINI_API_KEY").expect("GEMINI_API_KEY environment variable not set");
12
13    // Create client
14    let client = Gemini::new(api_key);
15
16    println!("--- Google Search with Function Calling example ---");
17
18    // Define a calculator function
19    let calculate = FunctionDeclaration::new(
20        "calculate",
21        "Perform a calculation",
22        FunctionParameters::object()
23            .with_property(
24                "operation",
25                PropertyDetails::enum_type(
26                    "The mathematical operation to perform",
27                    ["add", "subtract", "multiply", "divide"],
28                ),
29                true,
30            )
31            .with_property("a", PropertyDetails::number("The first number"), true)
32            .with_property("b", PropertyDetails::number("The second number"), true),
33    );
34
35    // Create function tool
36    let function_tool = Tool::new(calculate);
37
38    // Create a request with both tools
39    let response = client
40        .generate_content()
41        .with_user_message("What is the current Google stock price multiplied by 2?")
42        .with_tool(function_tool.clone())
43        .with_function_calling_mode(FunctionCallingMode::Any)
44        .execute()
45        .await?;
46
47    // Check if there are function calls
48    if let Some(function_call) = response.function_calls().first() {
49        println!(
50            "Function call: {} with args: {}",
51            function_call.name, function_call.args
52        );
53
54        // Handle the calculate function
55        if function_call.name == "calculate" {
56            let operation: String = function_call.get("operation")?;
57            let a: f64 = function_call.get("a")?;
58            let b: f64 = function_call.get("b")?;
59
60            println!("Calculation: {} {} {}", a, operation, b);
61
62            let result = match operation.as_str() {
63                "add" => a + b,
64                "subtract" => a - b,
65                "multiply" => a * b,
66                "divide" => a / b,
67                _ => panic!("Unknown operation"),
68            };
69
70            let function_response = json!({
71                "result": result,
72            })
73            .to_string();
74
75            // Based on the curl example, we need to structure the conversation properly:
76            // 1. A user message with the original query
77            // 2. A model message containing the function call
78            // 3. A user message containing the function response
79
80            // Construct conversation following the exact curl pattern
81            let mut conversation = client.generate_content();
82
83            // 1. Add user message with original query
84            conversation = conversation
85                .with_user_message("What is the current Google stock price multiplied by 2?");
86
87            // 2. Create model message with function call
88            let model_function_call = FunctionCall::new(
89                "calculate",
90                json!({
91                    "operation": operation,
92                    "a": a,
93                    "b": b
94                }),
95            );
96
97            // Create model content with function call
98            let model_content = Content::function_call(model_function_call).with_role(Role::Model);
99
100            // Add as model message
101            let model_message = Message {
102                content: model_content,
103                role: Role::Model,
104            };
105            conversation = conversation.with_message(model_message);
106
107            // 3. Add user message with function response
108            conversation =
109                conversation.with_function_response_str("calculate", function_response)?;
110
111            // Execute the request
112            let final_response = conversation.execute().await?;
113
114            println!("Final response: {}", final_response.text());
115        } else {
116            println!("Unknown function call: {}", function_call.name);
117        }
118    } else {
119        println!("No function calls in the response.");
120        println!("Direct response: {}", response.text());
121    }
122
123    Ok(())
124}

Source

pub fn with_functions(function_declarations: Vec<FunctionDeclaration>) -> Self

Create a new tool with multiple function declarations

Examples found in repository ?

examples/tools.rs (line 53)

9async fn main() -> Result<(), Box<dyn std::error::Error>> {
10    // Get API key from environment variable
11    let api_key = env::var("GEMINI_API_KEY").expect("GEMINI_API_KEY environment variable not set");
12
13    // Create client
14    let client = Gemini::new(api_key);
15
16    println!("--- Tools example with multiple functions ---");
17
18    // Define a weather function
19    let get_weather = FunctionDeclaration::new(
20        "get_weather",
21        "Get the current weather for a location",
22        FunctionParameters::object()
23            .with_property(
24                "location",
25                PropertyDetails::string("The city and state, e.g., San Francisco, CA"),
26                true,
27            )
28            .with_property(
29                "unit",
30                PropertyDetails::enum_type("The unit of temperature", ["celsius", "fahrenheit"]),
31                false,
32            ),
33    );
34
35    // Define a calculator function
36    let calculate = FunctionDeclaration::new(
37        "calculate",
38        "Perform a calculation",
39        FunctionParameters::object()
40            .with_property(
41                "operation",
42                PropertyDetails::enum_type(
43                    "The mathematical operation to perform",
44                    ["add", "subtract", "multiply", "divide"],
45                ),
46                true,
47            )
48            .with_property("a", PropertyDetails::number("The first number"), true)
49            .with_property("b", PropertyDetails::number("The second number"), true),
50    );
51
52    // Create a tool with multiple functions
53    let tool = Tool::with_functions(vec![get_weather, calculate]);
54
55    // Create a request with tool functions
56    let response = client
57        .generate_content()
58        .with_system_prompt(
59            "You are a helpful assistant that can check weather and perform calculations.",
60        )
61        .with_user_message("What's 42 times 12?")
62        .with_tool(tool)
63        .with_function_calling_mode(FunctionCallingMode::Any)
64        .execute()
65        .await?;
66
67    // Process function calls
68    if let Some(function_call) = response.function_calls().first() {
69        println!(
70            "Function call: {} with args: {}",
71            function_call.name, function_call.args
72        );
73
74        // Handle different function calls
75        match function_call.name.as_str() {
76            "calculate" => {
77                let operation: String = function_call.get("operation")?;
78                let a: f64 = function_call.get("a")?;
79                let b: f64 = function_call.get("b")?;
80
81                println!("Calculation: {} {} {}", a, operation, b);
82
83                let result = match operation.as_str() {
84                    "add" => a + b,
85                    "subtract" => a - b,
86                    "multiply" => a * b,
87                    "divide" => a / b,
88                    _ => panic!("Unknown operation"),
89                };
90
91                let function_response = json!({
92                    "result": result,
93                })
94                .to_string();
95
96                // Based on the curl example, we need to structure the conversation properly:
97                // 1. A user message with the original query
98                // 2. A model message containing the function call
99                // 3. A user message containing the function response
100
101                // Construct conversation following the exact curl pattern
102                let mut conversation = client.generate_content();
103
104                // 1. Add user message with original query and system prompt
105                conversation = conversation
106                    .with_system_prompt("You are a helpful assistant that can check weather and perform calculations.")
107                    .with_user_message("What's 42 times 12?");
108
109                // 2. Create model message with function call
110                let model_function_call = FunctionCall::new(
111                    "calculate",
112                    json!({
113                        "operation": operation,
114                        "a": a,
115                        "b": b
116                    }),
117                );
118
119                // Create model content with function call
120                let model_content =
121                    Content::function_call(model_function_call).with_role(Role::Model);
122
123                // Add as model message
124                let model_message = Message {
125                    content: model_content,
126                    role: Role::Model,
127                };
128                conversation = conversation.with_message(model_message);
129
130                // 3. Add user message with function response
131                conversation =
132                    conversation.with_function_response_str("calculate", function_response)?;
133
134                // Execute the request
135                let final_response = conversation.execute().await?;
136
137                println!("Final response: {}", final_response.text());
138            }
139            "get_weather" => {
140                let location: String = function_call.get("location")?;
141                let unit = function_call
142                    .get::<String>("unit")
143                    .unwrap_or_else(|_| String::from("celsius"));
144
145                println!("Weather request for: {}, Unit: {}", location, unit);
146
147                let weather_response = json!({
148                    "temperature": 22,
149                    "unit": unit,
150                    "condition": "sunny"
151                })
152                .to_string();
153
154                // Based on the curl example, we need to structure the conversation properly:
155                // 1. A user message with the original query
156                // 2. A model message containing the function call
157                // 3. A user message containing the function response
158
159                // Construct conversation following the exact curl pattern
160                let mut conversation = client.generate_content();
161
162                // 1. Add user message with original query and system prompt
163                conversation = conversation
164                    .with_system_prompt("You are a helpful assistant that can check weather and perform calculations.")
165                    .with_user_message("What's 42 times 12?");
166
167                // 2. Create model message with function call
168                let model_function_call = FunctionCall::new(
169                    "get_weather",
170                    json!({
171                        "location": location,
172                        "unit": unit
173                    }),
174                );
175
176                // Create model content with function call
177                let model_content =
178                    Content::function_call(model_function_call).with_role(Role::Model);
179
180                // Add as model message
181                let model_message = Message {
182                    content: model_content,
183                    role: Role::Model,
184                };
185                conversation = conversation.with_message(model_message);
186
187                // 3. Add user message with function response
188                conversation =
189                    conversation.with_function_response_str("get_weather", weather_response)?;
190
191                // Execute the request
192                let final_response = conversation.execute().await?;
193
194                println!("Final response: {}", final_response.text());
195            }
196            _ => println!("Unknown function"),
197        }
198    } else {
199        println!("No function calls in the response.");
200        println!("Response: {}", response.text());
201    }
202
203    Ok(())
204}

Source

pub fn google_search() -> Self

Create a new Google Search tool

Examples found in repository ?

examples/google_search.rs (line 15)

5async fn main() -> Result<(), Box<dyn std::error::Error>> {
6    // Get API key from environment variable
7    let api_key = env::var("GEMINI_API_KEY").expect("GEMINI_API_KEY environment variable not set");
8
9    // Create client
10    let client = Gemini::new(api_key);
11
12    println!("--- Google Search tool example ---");
13
14    // Create a Google Search tool
15    let google_search_tool = Tool::google_search();
16
17    // Create a request with Google Search tool
18    let response = client
19        .generate_content()
20        .with_user_message("What is the current Google stock price?")
21        .with_tool(google_search_tool)
22        .execute()
23        .await?;
24
25    println!("Response: {}", response.text());
26
27    Ok(())
28}

More examples

Hide additional examples

examples/curl_google_search.rs (line 43)

5async fn main() -> Result<(), Box<dyn std::error::Error>> {
6    // Get API key from environment variable
7    let api_key = env::var("GEMINI_API_KEY").expect("GEMINI_API_KEY environment variable not set");
8
9    println!("--- Curl equivalent with Google Search tool ---");
10
11    // This is equivalent to the curl example:
12    // curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key=$GEMINI_API_KEY" \
13    //   -H "Content-Type: application/json" \
14    //   -d '{
15    //       "contents": [
16    //           {
17    //               "parts": [
18    //                   {"text": "What is the current Google stock price?"}
19    //               ]
20    //           }
21    //       ],
22    //       "tools": [
23    //           {
24    //               "google_search": {}
25    //           }
26    //       ]
27    //   }'
28
29    // Create client
30    let client = Gemini::new(api_key);
31
32    // Create a content part that matches the JSON in the curl example
33    let text_part = Part::Text {
34        text: "What is the current Google stock price?".to_string(),
35    };
36
37    let content = Content {
38        parts: vec![text_part],
39        role: None,
40    };
41
42    // Create a Google Search tool
43    let google_search_tool = Tool::google_search();
44
45    // Add the content and tool directly to the request
46    // This exactly mirrors the JSON structure in the curl example
47    let mut content_builder = client.generate_content();
48    content_builder.contents.push(content);
49    content_builder = content_builder.with_tool(google_search_tool);
50
51    let response = content_builder.execute().await?;
52
53    println!("Response: {}", response.text());
54
55    Ok(())
56}