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https://github.com/amithkoujalgi/ollama4j.git
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Added support for tools/function calling - specifically for Mistral's latest model.
This commit is contained in:
Amith Koujalgi
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# Generate - Async
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---
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# Generate - With Image Files
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# Generate - With Image URLs
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271
docs/docs/apis-generate/generate-with-tools.md
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271
docs/docs/apis-generate/generate-with-tools.md
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---
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# Generate - With Tools
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This API lets you perform [function calling](https://docs.mistral.ai/capabilities/function_calling/) using LLMs in a
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synchronous way.
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This API correlates to
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the [generate](https://github.com/ollama/ollama/blob/main/docs/api.md#request-raw-mode) API with `raw` mode.
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:::note
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This is an only an experimental implementation and has a very basic design.
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Currently, built and tested for [Mistral's latest model](https://ollama.com/library/mistral) only. We could redesign
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this
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in the future if tooling is supported for more models with a generic interaction standard from Ollama.
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:::
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### Function Calling/Tools
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Assume you want to call a method in your code based on the response generated from the model.
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For instance, let's say that based on a user's question, you'd want to identify a transaction and get the details of the
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transaction from your database and respond to the user with the transaction details.
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You could do that with ease with the `function calling` capabilities of the models by registering your `tools`.
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### Create Functions
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This function takes the arguments `location` and `fuelType` and performs an operation with these arguments and returns a
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value.
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```java
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public static String getCurrentFuelPrice(Map<String, Object> arguments) {
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String location = arguments.get("location").toString();
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String fuelType = arguments.get("fuelType").toString();
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return "Current price of " + fuelType + " in " + location + " is Rs.103/L";
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}
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```
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This function takes the argument `city` and performs an operation with the argument and returns a
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value.
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```java
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public static String getCurrentWeather(Map<String, Object> arguments) {
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String location = arguments.get("city").toString();
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return "Currently " + location + "'s weather is nice.";
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}
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```
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### Define Tool Specifications
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Lets define a sample tool specification called **Fuel Price Tool** for getting the current fuel price.
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- Specify the function `name`, `description`, and `required` properties (`location` and `fuelType`).
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- Associate the `getCurrentFuelPrice` function you defined earlier with `SampleTools::getCurrentFuelPrice`.
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```java
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MistralTools.ToolSpecification fuelPriceToolSpecification = MistralTools.ToolSpecification.builder()
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.functionName("current-fuel-price")
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.functionDesc("Get current fuel price")
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.props(
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new MistralTools.PropsBuilder()
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.withProperty("location", MistralTools.PromptFuncDefinition.Property.builder().type("string").description("The city, e.g. New Delhi, India").required(true).build())
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.withProperty("fuelType", MistralTools.PromptFuncDefinition.Property.builder().type("string").description("The fuel type.").enumValues(Arrays.asList("petrol", "diesel")).required(true).build())
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.build()
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)
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.toolDefinition(SampleTools::getCurrentFuelPrice)
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.build();
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```
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Lets also define a sample tool specification called **Weather Tool** for getting the current weather.
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- Specify the function `name`, `description`, and `required` property (`city`).
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- Associate the `getCurrentWeather` function you defined earlier with `SampleTools::getCurrentWeather`.
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```java
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MistralTools.ToolSpecification weatherToolSpecification = MistralTools.ToolSpecification.builder()
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.functionName("current-weather")
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.functionDesc("Get current weather")
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.props(
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new MistralTools.PropsBuilder()
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.withProperty("city", MistralTools.PromptFuncDefinition.Property.builder().type("string").description("The city, e.g. New Delhi, India").required(true).build())
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.build()
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)
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.toolDefinition(SampleTools::getCurrentWeather)
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.build();
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```
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### Register the Tools
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Register the defined tools (`fuel price` and `weather`) with the OllamaAPI.
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```shell
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ollamaAPI.registerTool(fuelPriceToolSpecification);
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ollamaAPI.registerTool(weatherToolSpecification);
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```
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### Create prompt with Tools
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`Prompt 1`: Create a prompt asking for the petrol price in Bengaluru using the defined fuel price and weather tools.
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```shell
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String prompt1 = new MistralTools.PromptBuilder()
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.withToolSpecification(fuelPriceToolSpecification)
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.withToolSpecification(weatherToolSpecification)
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.withPrompt("What is the petrol price in Bengaluru?")
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.build();
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OllamaToolsResult toolsResult = ollamaAPI.generateWithTools(model, prompt1, false, new OptionsBuilder().build());
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for (Map.Entry<ToolDef, Object> r : toolsResult.getToolResults().entrySet()) {
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System.out.printf("[Response from tool '%s']: %s%n", r.getKey().getName(), r.getValue().toString());
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}
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```
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Now, fire away your question to the model.
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You will get a response similar to:
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::::tip[LLM Response]
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[Response from tool 'current-fuel-price']: Current price of petrol in Bengaluru is Rs.103/L
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::::
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`Prompt 2`: Create a prompt asking for the current weather in Bengaluru using the same tools.
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```shell
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String prompt2 = new MistralTools.PromptBuilder()
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.withToolSpecification(fuelPriceToolSpecification)
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.withToolSpecification(weatherToolSpecification)
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.withPrompt("What is the current weather in Bengaluru?")
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.build();
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OllamaToolsResult toolsResult = ollamaAPI.generateWithTools(model, prompt2, false, new OptionsBuilder().build());
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for (Map.Entry<ToolDef, Object> r : toolsResult.getToolResults().entrySet()) {
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System.out.printf("[Response from tool '%s']: %s%n", r.getKey().getName(), r.getValue().toString());
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}
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```
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Again, fire away your question to the model.
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You will get a response similar to:
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::::tip[LLM Response]
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[Response from tool 'current-weather']: Currently Bengaluru's weather is nice
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::::
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### Full Example
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```java
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import io.github.amithkoujalgi.ollama4j.core.OllamaAPI;
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import io.github.amithkoujalgi.ollama4j.core.exceptions.OllamaBaseException;
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import io.github.amithkoujalgi.ollama4j.core.tools.ToolDef;
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import io.github.amithkoujalgi.ollama4j.core.tools.MistralTools;
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import io.github.amithkoujalgi.ollama4j.core.tools.OllamaToolsResult;
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import io.github.amithkoujalgi.ollama4j.core.utils.OptionsBuilder;
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import java.io.IOException;
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import java.util.Arrays;
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import java.util.Map;
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public class FunctionCallingWithMistral {
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public static void main(String[] args) throws Exception {
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String host = "http://localhost:11434/";
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OllamaAPI ollamaAPI = new OllamaAPI(host);
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ollamaAPI.setRequestTimeoutSeconds(60);
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String model = "mistral";
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MistralTools.ToolSpecification fuelPriceToolSpecification = MistralTools.ToolSpecification.builder()
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.functionName("current-fuel-price")
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.functionDesc("Get current fuel price")
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.props(
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new MistralTools.PropsBuilder()
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.withProperty("location", MistralTools.PromptFuncDefinition.Property.builder().type("string").description("The city, e.g. New Delhi, India").required(true).build())
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.withProperty("fuelType", MistralTools.PromptFuncDefinition.Property.builder().type("string").description("The fuel type.").enumValues(Arrays.asList("petrol", "diesel")).required(true).build())
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.build()
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)
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.toolDefinition(SampleTools::getCurrentFuelPrice)
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.build();
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MistralTools.ToolSpecification weatherToolSpecification = MistralTools.ToolSpecification.builder()
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.functionName("current-weather")
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.functionDesc("Get current weather")
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.props(
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new MistralTools.PropsBuilder()
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.withProperty("city", MistralTools.PromptFuncDefinition.Property.builder().type("string").description("The city, e.g. New Delhi, India").required(true).build())
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.build()
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)
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.toolDefinition(SampleTools::getCurrentWeather)
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.build();
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ollamaAPI.registerTool(fuelPriceToolSpecification);
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ollamaAPI.registerTool(weatherToolSpecification);
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String prompt1 = new MistralTools.PromptBuilder()
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.withToolSpecification(fuelPriceToolSpecification)
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.withToolSpecification(weatherToolSpecification)
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.withPrompt("What is the petrol price in Bengaluru?")
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.build();
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String prompt2 = new MistralTools.PromptBuilder()
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.withToolSpecification(fuelPriceToolSpecification)
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.withToolSpecification(weatherToolSpecification)
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.withPrompt("What is the current weather in Bengaluru?")
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.build();
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ask(ollamaAPI, model, prompt1);
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ask(ollamaAPI, model, prompt2);
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}
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public static void ask(OllamaAPI ollamaAPI, String model, String prompt) throws OllamaBaseException, IOException, InterruptedException {
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OllamaToolsResult toolsResult = ollamaAPI.generateWithTools(model, prompt, false, new OptionsBuilder().build());
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for (Map.Entry<ToolDef, Object> r : toolsResult.getToolResults().entrySet()) {
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System.out.printf("[Response from tool '%s']: %s%n", r.getKey().getName(), r.getValue().toString());
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}
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}
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}
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class SampleTools {
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public static String getCurrentFuelPrice(Map<String, Object> arguments) {
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String location = arguments.get("location").toString();
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String fuelType = arguments.get("fuelType").toString();
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return "Current price of " + fuelType + " in " + location + " is Rs.103/L";
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}
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public static String getCurrentWeather(Map<String, Object> arguments) {
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String location = arguments.get("city").toString();
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return "Currently " + location + "'s weather is nice.";
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}
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}
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```
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Run this full example and you will get a response similar to:
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::::tip[LLM Response]
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[Response from tool 'current-fuel-price']: Current price of petrol in Bengaluru is Rs.103/L
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[Response from tool 'current-weather']: Currently Bengaluru's weather is nice
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::::
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### Room for improvement
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Instead of explicitly registering `ollamaAPI.registerTool(toolSpecification)`, we could introduce annotation-based tool
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registration. For example:
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```java
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@ToolSpec(name = "current-fuel-price", desc = "Get current fuel price")
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public String getCurrentFuelPrice(Map<String, Object> arguments) {
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String location = arguments.get("location").toString();
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String fuelType = arguments.get("fuelType").toString();
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return "Current price of " + fuelType + " in " + location + " is Rs.103/L";
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}
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```
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Instead of passing a map of args `Map<String, Object> arguments` to the tool functions, we could support passing
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specific args separately with their data types. For example:
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```shell
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public String getCurrentFuelPrice(String location, String fuelType) {
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return "Current price of " + fuelType + " in " + location + " is Rs.103/L";
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}
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```
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Updating async/chat APIs with support for tool-based generation.
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@@ -1,5 +1,5 @@
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---
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sidebar_position: 5
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sidebar_position: 6
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---
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# Prompt Builder
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