Kimi

agentscope-extensions-model-openai provides first-class Kimi (Moonshot AI) support through the OpenAI-compatible model stack. Add the OpenAI model extension module, then use kimi:<model> with ModelRegistry.

Add the dependency

<dependency>
    <groupId>io.agentscope</groupId>
    <artifactId>agentscope-extensions-model-openai</artifactId>
    <version>${agentscope.version}</version>
</dependency>

ModelRegistry

Set MOONSHOT_API_KEY or KIMI_API_KEY, then use the kimi:<model> id:

ReActAgent agent = ReActAgent.builder()
    .name("assistant")
    .model("kimi:kimi-k3") // Resolved internally by ModelRegistry.resolve(modelId)
    .build();

The provider defaults to https://api.moonshot.cn/v1, strips the kimi: prefix before sending the model name, and uses the Kimi formatter from io.agentscope.extensions.model.openai.compat.kimi.

Thinking mode

Pass Kimi thinking options through GenerateOptions when resolving the model:

import io.agentscope.core.model.GenerateOptions;
import io.agentscope.core.model.Model;
import io.agentscope.core.model.ModelCreationContext;
import io.agentscope.core.model.ModelRegistry;
import java.util.Map;

Model model = ModelRegistry.resolve(
    "kimi:kimi-k2.6",
    ModelCreationContext.builder()
        .component(
            GenerateOptions.class,
            GenerateOptions.builder()
                .additionalBodyParam("thinking", Map.of("type", "disabled"))
                .maxCompletionTokens(16000)
                .build())
        .build());

kimi-k3 uses the top-level reasoning_effort option (low, high, or max). kimi-k3 and kimi-k2.7-code always run with thinking enabled. kimi-k2.6 and kimi-k2.5 enable thinking by default, but can disable it with additionalBodyParam("thinking", Map.of("type", "disabled")).

Compatibility notes

The Kimi formatter adapts OpenAI-style requests to the Kimi chat-completions API. It omits tool schema strict, preserves assistant reasoning_content in message history, and strips unsupported request fields such as thinking_budget. On kimi-* models, sampling parameters such as temperature, top_p, n, frequency_penalty, and presence_penalty are fixed by the platform and are removed from requests. The moonshot-v1 series keeps those parameters. Kimi documents max_completion_tokens, so max_tokens is mapped to max_completion_tokens when max_completion_tokens is not already set. reasoning_effort is kept only for kimi-k3. For K2.x thinking controls, pass the thinking body parameter through GenerateOptions.additionalBodyParam. tool_choice=auto and tool_choice=none are supported broadly. tool_choice=required is degraded to auto on K2.x models. Forcing a specific function is incompatible with thinking enabled, so it is degraded to auto on kimi-k3, on kimi-k2.7-code, and on kimi-k2.6 / kimi-k2.5 unless thinking.type is explicitly set to disabled. Structured output uses the normal AgentScope fallback behavior by default. For compatible or self-hosted endpoints, pass baseUrl, endpointPath, generation options, or formatter overrides through ModelCreationContext.

Integration

Channels

Distributed storage

Add the dependency

ModelRegistry

Thinking mode

Compatibility notes

​Add the dependency

​ModelRegistry

​Thinking mode

​Compatibility notes

Add the dependency

ModelRegistry

Thinking mode

Compatibility notes