💄 style: add function call support for Spark

[hezhijie0327]

💻 变更类型 | Change Type

• ✨ feat
• 🐛 fix
• ♻️ refactor
• 💄 style
• 👷 build
• ⚡️ perf
• 📝 docs
• 🔨 chore

🔀 变更说明 | Description of Change

补齐之前 Spark 缺少的 function call 的实现

1. 通过改造实现了 Spark 的 Function Call 功能（整体工具调用效果不是特别好，存在限制）
2. 支持流式及非流式对话
3. 试了下工具调用支持流式，但是除了 max-32k 模型支持工具回调外，其余均不支持（curl 调用测试也为空；max-32k 存在相同 payload，上一秒还能出内容，再次执行直接返回空的问题）

Function Name	描述
transformSparkStream	处理流式
transformSparkResponseToStream	处理非流式

Spark 的工具调用流很怪，返回的是对象不是数组，通过魔改 OpenAI 流处理对非标准返回强制转换为数组

---

PS: 给讯飞开了工单，将近三个多月无进展

📝 补充信息 | Additional Information

模块	效果
对话
工具调用

---

非流式响应流

{
    "code": 0,
    "message": "Success",
    "sid": "cha000b95d2@dx193cef49db1b894532",
    "choices": [
        {
            "message": {
                "role": "assistant",
                "content": "",
                "tool_calls": {
                    "type": "function",
                    "function": {
                        "arguments": "{\"city\":\"Shanghai\"}",
                        "name": "realtime-weather____fetchCurrentWeather"
                    }
                }
            },
            "index": 0
        }
    ],
    "usage": {
        "prompt_tokens": 8,
        "completion_tokens": 0,
        "total_tokens": 8
    }
}

流式输出响应流

{
    "code": 0,
    "message": "Success",
    "sid": "cha000b6cd0@dx193cef628319a4b532",
    "id": "cha000b6cd0@dx193cef628319a4b532",
    "created": 1734344060,
    "choices": [
        {
            "delta": {
                "role": "assistant",
                "content": "",
                "tool_calls": {
                    "type": "function",
                    "function": {
                        "arguments": "{\"city\":\"Shanghai\"}",
                        "name": "realtime-weather____fetchCurrentWeather"
                    }
                }
            },
            "index": 0
        }
    ],
    "usage": {
        "prompt_tokens": 8,
        "completion_tokens": 0,
        "total_tokens": 8
    }
}

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[codecov]

Codecov Report

Attention: Patch coverage is 18.38565% with 182 lines in your changes missing coverage. Please review.

Project coverage is 91.58%. Comparing base (e63249b) to head (c7d22dc).
Report is 2 commits behind head on main.

Files with missing lines	Patch %	Lines
src/libs/agent-runtime/utils/streams/spark.ts	13.43%	116 Missing ⚠️
src/libs/agent-runtime/spark/index.ts	22.35%	66 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #5039      +/-   ##
==========================================
- Coverage   91.97%   91.58%   -0.40%     
==========================================
  Files         548      549       +1     
  Lines       41408    41612     +204     
  Branches     2355     2354       -1     
==========================================
+ Hits        38087    38110      +23     
- Misses       3321     3502     +181     

Flag	Coverage Δ
app	91.58% <18.38%> (-0.40%)	⬇️
server	98.12% <ø> (ø)

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[arvinxx]

这块是不是最好看下哪里需要给工厂函数开槽的，给开个槽？单独实现一个感觉后续的维护成本比较高