LangChain4j Tools
Since Camel 4.8
Both producer and consumer are supported
The LangChain4j Tools Component allows you to use function calling features from Large Language Models (LLMs) supported by LangChain4j.
Maven users will need to add the following dependency to their pom.xml
for this component:
<dependency>
<groupId>org.apache.camel</groupId>
<artifactId>camel-langchain4j-tools</artifactId>
<version>x.x.x</version>
<!-- use the same version as your Camel core version -->
</dependency>
URI format
langchain4j-tools:toolSet[?options]
langchain4j-tools:toolSet[?options]
Where toolSet can be any string to uniquely identify the endpoint
Configuring Options
Camel components are configured on two separate levels:
-
component level
-
endpoint level
Configuring Component Options
At the component level, you set general and shared configurations that are, then, inherited by the endpoints. It is the highest configuration level.
For example, a component may have security settings, credentials for authentication, urls for network connection and so forth.
Some components only have a few options, and others may have many. Because components typically have pre-configured defaults that are commonly used, then you may often only need to configure a few options on a component; or none at all.
You can configure components using:
-
the Component DSL.
-
in a configuration file (
application.properties
,*.yaml
files, etc). -
directly in the Java code.
Configuring Endpoint Options
You usually spend more time setting up endpoints because they have many options. These options help you customize what you want the endpoint to do. The options are also categorized into whether the endpoint is used as a consumer (from), as a producer (to), or both.
Configuring endpoints is most often done directly in the endpoint URI as path and query parameters. You can also use the Endpoint DSL and DataFormat DSL as a type safe way of configuring endpoints and data formats in Java.
A good practice when configuring options is to use Property Placeholders.
Property placeholders provide a few benefits:
-
They help prevent using hardcoded urls, port numbers, sensitive information, and other settings.
-
They allow externalizing the configuration from the code.
-
They help the code to become more flexible and reusable.
The following two sections list all the options, firstly for the component followed by the endpoint.
Component Options
The LangChain4j Tools component supports 5 options, which are listed below.
Name | Description | Default | Type |
---|---|---|---|
The configuration. | LangChain4jToolsConfiguration | ||
Allows for bridging the consumer to the Camel routing Error Handler, which mean any exceptions (if possible) occurred while the Camel consumer is trying to pickup incoming messages, or the likes, will now be processed as a message and handled by the routing Error Handler. Important: This is only possible if the 3rd party component allows Camel to be alerted if an exception was thrown. Some components handle this internally only, and therefore bridgeErrorHandler is not possible. In other situations we may improve the Camel component to hook into the 3rd party component and make this possible for future releases. By default the consumer will use the org.apache.camel.spi.ExceptionHandler to deal with exceptions, that will be logged at WARN or ERROR level and ignored. | false | boolean | |
Whether the producer should be started lazy (on the first message). By starting lazy you can use this to allow CamelContext and routes to startup in situations where a producer may otherwise fail during starting and cause the route to fail being started. By deferring this startup to be lazy then the startup failure can be handled during routing messages via Camel’s routing error handlers. Beware that when the first message is processed then creating and starting the producer may take a little time and prolong the total processing time of the processing. | false | boolean | |
Whether autowiring is enabled. This is used for automatic autowiring options (the option must be marked as autowired) by looking up in the registry to find if there is a single instance of matching type, which then gets configured on the component. This can be used for automatic configuring JDBC data sources, JMS connection factories, AWS Clients, etc. | true | boolean | |
Autowired Chat Language Model of type dev.langchain4j.model.chat.ChatLanguageModel. | ChatLanguageModel |
Endpoint Options
The LangChain4j Tools endpoint is configured using URI syntax:
langchain4j-tools:toolId
With the following path and query parameters:
Query Parameters (9 parameters)
Name | Description | Default | Type |
---|---|---|---|
Required The tags for the tools. | String | ||
Tool description. | String | ||
List of Tool parameters in the form of parameter.=. | Map | ||
Allows for bridging the consumer to the Camel routing Error Handler, which mean any exceptions (if possible) occurred while the Camel consumer is trying to pickup incoming messages, or the likes, will now be processed as a message and handled by the routing Error Handler. Important: This is only possible if the 3rd party component allows Camel to be alerted if an exception was thrown. Some components handle this internally only, and therefore bridgeErrorHandler is not possible. In other situations we may improve the Camel component to hook into the 3rd party component and make this possible for future releases. By default the consumer will use the org.apache.camel.spi.ExceptionHandler to deal with exceptions, that will be logged at WARN or ERROR level and ignored. | false | boolean | |
Tool’s Camel Parameters, programmatically define Tool description and parameters. | CamelSimpleToolParameter | ||
To let the consumer use a custom ExceptionHandler. Notice if the option bridgeErrorHandler is enabled then this option is not in use. By default the consumer will deal with exceptions, that will be logged at WARN or ERROR level and ignored. | ExceptionHandler | ||
Sets the exchange pattern when the consumer creates an exchange. Enum values:
| ExchangePattern | ||
Whether the producer should be started lazy (on the first message). By starting lazy you can use this to allow CamelContext and routes to startup in situations where a producer may otherwise fail during starting and cause the route to fail being started. By deferring this startup to be lazy then the startup failure can be handled during routing messages via Camel’s routing error handlers. Beware that when the first message is processed then creating and starting the producer may take a little time and prolong the total processing time of the processing. | false | boolean | |
Autowired Chat Language Model of type dev.langchain4j.model.chat.ChatLanguageModel. | ChatLanguageModel |
Spring Boot Auto-Configuration
When using langchain4j-tools with Spring Boot make sure to use the following Maven dependency to have support for auto configuration:
<dependency>
<groupId>org.apache.camel.springboot</groupId>
<artifactId>camel-langchain4j-tools-starter</artifactId>
<version>x.x.x</version>
<!-- use the same version as your Camel core version -->
</dependency>
The component supports 6 options, which are listed below.
Name | Description | Default | Type |
---|---|---|---|
Whether autowiring is enabled. This is used for automatic autowiring options (the option must be marked as autowired) by looking up in the registry to find if there is a single instance of matching type, which then gets configured on the component. This can be used for automatic configuring JDBC data sources, JMS connection factories, AWS Clients, etc. | true | Boolean | |
Allows for bridging the consumer to the Camel routing Error Handler, which mean any exceptions (if possible) occurred while the Camel consumer is trying to pickup incoming messages, or the likes, will now be processed as a message and handled by the routing Error Handler. Important: This is only possible if the 3rd party component allows Camel to be alerted if an exception was thrown. Some components handle this internally only, and therefore bridgeErrorHandler is not possible. In other situations we may improve the Camel component to hook into the 3rd party component and make this possible for future releases. By default the consumer will use the org.apache.camel.spi.ExceptionHandler to deal with exceptions, that will be logged at WARN or ERROR level and ignored. | false | Boolean | |
Chat Language Model of type dev.langchain4j.model.chat.ChatLanguageModel. The option is a dev.langchain4j.model.chat.ChatLanguageModel type. | ChatLanguageModel | ||
The configuration. The option is a org.apache.camel.component.langchain4j.tools.LangChain4jToolsConfiguration type. | LangChain4jToolsConfiguration | ||
Whether to enable auto configuration of the langchain4j-tools component. This is enabled by default. | Boolean | ||
Whether the producer should be started lazy (on the first message). By starting lazy you can use this to allow CamelContext and routes to startup in situations where a producer may otherwise fail during starting and cause the route to fail being started. By deferring this startup to be lazy then the startup failure can be handled during routing messages via Camel’s routing error handlers. Beware that when the first message is processed then creating and starting the producer may take a little time and prolong the total processing time of the processing. | false | Boolean |
Usage
This component helps to use function-calling features from LLMs so that models can decide what functions (routes, in case of Camel) can be called (i.e.; routed).
Consider, for instance, two consumer routes capable of query an user database by user ID or by social security number (SSN).
from("langchain4j-tool:userInfo?tags=users&description=Query database by user ID")
.to("sql:SELECT name FROM users WHERE id = :#number");
from("langchain4j-tool:userInfo?tags=users&description=Query database by user social security ID")
.to("sql:SELECT name FROM users WHERE ssn = :#ssn");
Now, consider a producer route that receives unstructured data as input. Such a route could consume this data, pass it to a LLM with function-calling capabilities (such as llama3.1, Granite Code 20b function calling, etc) and have the model decide which route to call.
Such a route could receive questions in english such as:
-
"What is the name of the user with user ID 1?"
-
"What is the name of the user with SSN 34.400.96?"
from(source)
.to("langchain4j-tool:userInfo?tags=users");
Tool Tags
Consumer routes must define tags that groups together. The aforementioned routes would be part have the users
tag. The users
tag has two routes: queryById
and queryBySSN
Parameters
The Tool Input parameter can be defined as an Endpoint multiValue option in the form of parameter.<name>=<type>
, or via the endpoint option camelToolParameter
for a programmatic approach. The parameters can be found as headers in the consumer route, in particular, if you define parameter.userId=5
, in the consumer route ${header.userId}
can be used.
from("direct:test")
.to("langchain4j-tools:test1?tags=users");
from("langchain4j-chat:test1?tags=users&description=Query user database by user ID¶meter.userId=integer")
.to("sql:SELECT name FROM users WHERE id = :#userId");
List<ChatMessage> messages = new ArrayList<>();
messages.add(new SystemMessage("""
You provide information about specific user name querying the database given a number.
"""));
messages.add(new UserMessage("""
What is the name of the user 1?
"""));
Exchange message = fluentTemplate.to("direct:test").withBody(messages).request(Exchange.class);
Using a specific Model
The Camel LangChain4j tools component provides an abstraction for interacting with various types of Large Language Models (LLMs) supported by LangChain4j.
Integrating with specific LLM
To integrate with a specific LLM, users should follow the steps described below, which explain how to integrate with OpenAI.
Add the dependency for LangChain4j OpenAI support:
<dependency>
<groupId>dev.langchain4j</groupId>
<artifactId>langchain4j-open-ai</artifactId>
<version>x.x.x</version>
</dependency>
Initialize the OpenAI Chat Language Model, and add it to the Camel Registry:
ChatLanguageModel model = OpenAiChatModel.builder()
.apiKey("NO_API_KEY")
.modelName("llama3.1:latest")
.temperature(0.0)
.timeout(ofSeconds(60000))
.build();
context.getRegistry().bind("chatModel", model);
Use the model in the Camel LangChain4j Chat Producer
from("direct:chat")
.to("langchain4j-tools:test?tags=users&chatModel=#chatModel");
To switch to another Large Language Model and its corresponding dependency, replace the |