使用 OpenCode 调用 V2EX AI API 的配置文件例子

之前的 OpenCode 配置例子帖子中的配置文件非常 bare bone：

https://edge.v2ex.com/t/1227634

所以其实很多 OpenCode 的额外功能会因此没有打开。

这里是一个我目前测试过的更完整的配置文件例子：

文件位置 ~/.config/opencode/opencode.jsonc

内容是目前 V2EX 上能够提供的 3 个 GLM 模型及其能力，其中 GLM 5.3 Flash 能支持图片。

{

  "$schema": "https://opencode.ai/config.json",

  "disabled_providers": [],

  "provider": {

    "v2ex": {

      "name": "v2ex",

      "npm": "@ai-sdk/openai-compatible",

      "options": {

        "baseURL": "https://edge.v2ex.com/chat/v1"

      },

      "models": {

        "coder": {

          "name": "GLM-5.2",

          "reasoning": true,

          "temperature": true,

          "interleaved": { "field": "reasoning_content" },

          "limit": { "context": 1000000, "output": 131072 },

          "modalities": { "input": ["text"], "output": ["text"] },

          "cost": { "input": 1.4, "output": 4.4, "cache_read": 0.26, "cache_write": 0 },

          "variants": {

            "high": { "reasoningEffort": "high" },

            "max": { "reasoningEffort": "max" }

          }

        },

        "glm-5.3": {

          "name": "GLM-5.3",

          "reasoning": true,

          "temperature": true,

          "interleaved": { "field": "reasoning_content" },

          "limit": { "context": 1048576, "output": 131072 },

          "modalities": { "input": ["text"], "output": ["text"] },

          "cost": { "input": 1.4, "output": 4.4, "cache_read": 0.26, "cache_write": 0 },

          "variants": {

            "low": { "reasoningEffort": "low" },

            "high": { "reasoningEffort": "high" },

            "max": { "reasoningEffort": "max" }

          }

        },

        "glm-5.3-flash": {

          "name": "GLM-5.3-Flash",

          "attachment": true,

          "reasoning": true,

          "temperature": true,

          "interleaved": { "field": "reasoning_content" },

          "limit": { "context": 1048576, "output": 131072 },

          "modalities": { "input": ["text", "image"], "output": ["text"] },

          "cost": { "input": 0.075, "output": 0.25, "cache_read": 0.015, "cache_write": 0 },

          "variants": {

            "low": { "reasoningEffort": "low" },

            "high": { "reasoningEffort": "high" },

            "max": { "reasoningEffort": "max" }

          }

        }

      }

    }

  }

}

这样配置之后，除了可以看到思考过程，还可以看到 context 占用和费用预估（如果是使用类似官方 API 的话）。