chore: import upstream snapshot with attribution

2026-07-13 12:39:27 +08:00
commit c3bf08ac8d
755 changed files with 172616 additions and 0 deletions
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+# -*- coding: utf-8 -*-
+"""Example of DashScope model calls with DashScopeMultiAgentFormatter.
+
+The multi-agent formatter wraps prior conversation history in
+<history></history> tags, enabling the model to handle multi-agent
+conversations where more than one non-user agent is involved.
+"""
+import asyncio
+import os
+
+from _utils import stream_and_collect
+from agentscope.formatter import DashScopeMultiAgentFormatter
+from agentscope.message import Msg, TextBlock
+from agentscope.model import DashScopeChatModel
+from agentscope.credential import DashScopeCredential
+
+
+async def example_multiagent() -> None:
+    """Simulate a multi-agent conversation and let qwen3.5-plus summarize it.
+
+    Alice and Bob discuss the weather, then a moderator (the model) is asked
+    to summarize the conversation.
+    """
+    formatter = DashScopeMultiAgentFormatter()
+
+    model = DashScopeChatModel(
+        credential=DashScopeCredential(
+            api_key=os.environ["DASHSCOPE_API_KEY"],
+        ),
+        model="qwen3.5-plus",
+        stream=True,
+        context_size=1_000_000,
+        parameters=DashScopeChatModel.Parameters(thinking_enable=True),
+        formatter=formatter,
+    )
+
+    # Multi-agent conversation history between Alice and Bob
+    msgs = [
+        Msg(
+            name="system",
+            content=[
+                TextBlock(
+                    text="You are a helpful moderator. Summarize the "
+                    "conversation.",
+                ),
+            ],
+            role="system",
+        ),
+        Msg(
+            name="alice",
+            content=[
+                TextBlock(
+                    text="Hi Bob! What do you think about the weather today?",
+                ),
+            ],
+            role="user",
+        ),
+        Msg(
+            name="bob",
+            content=[
+                TextBlock(
+                    text="It's quite sunny and warm, Alice. Perfect for a "
+                    "walk!",
+                ),
+            ],
+            role="assistant",
+        ),
+        Msg(
+            name="alice",
+            content=[
+                TextBlock(text="Agreed! I might head to the park later."),
+            ],
+            role="user",
+        ),
+        Msg(
+            name="bob",
+            content=[
+                TextBlock(
+                    text="Great idea. I'll join you if I finish work early.",
+                ),
+            ],
+            role="assistant",
+        ),
+        Msg(
+            name="moderator",
+            content=[
+                TextBlock(
+                    text="Please summarize the conversation above in one "
+                    "sentence.",
+                ),
+            ],
+            role="user",
+        ),
+    ]
+
+    print("=== Multi-Agent Formatter Call ===")
+    await stream_and_collect(await model(msgs))
+
+
+if __name__ == "__main__":
+    asyncio.run(example_multiagent())