Use DeepAgents model resolver in builder graph

agent_builder/builder.py

@@ -3,12 +3,12 @@ from __future__ import annotations
 
 from dataclasses import dataclass
 from pathlib import Path
+from types import SimpleNamespace
 from typing import Any
 
-from deepagents import create_deep_agent
+from a2a_pack.deepagents import create_a2a_deep_agent
 from deepagents.backends import CompositeBackend, StateBackend, StoreBackend
 from deepagents.backends.utils import create_file_data
-from langchain_openai import ChatOpenAI
 from langgraph.store.memory import InMemoryStore
 
 from .config import Settings, load_settings
@@ -50,8 +50,8 @@ control plane.
 
 The default starter is the current a2a-pack DeepAgents scaffold. It declares
 ``LLMProvisioning.PLATFORM``, reads the caller's saved LLM credential from
-``ctx.llm``, builds a ``ChatOpenAI`` model from those credentials, and wires a small
+    ``ctx.llm``, resolves the model through ``create_a2a_deep_agent``, and wires a small
-tool-calling DeepAgent with ``create_deep_agent`` plus ``wrap_model_call``
+    tool-calling DeepAgent with the A2A DeepAgents model middleware
 middleware. Do not recreate this from memory: call ``init_agent_template`` first
 and modify the generated files.
 
@@ -60,8 +60,8 @@ Default hosted generated/user agents to ``LLMProvisioning.PLATFORM`` and
 credential for the callee. The generated agent must still read ``ctx.llm`` and must never
 read ``A2A_LITELLM_KEY``, ``OPENAI_API_KEY``, LiteLLM master keys, or provider
 keys directly. ``LLMProvisioning.CALLER_PROVIDED`` is still acceptable for
-explicit BYOK wording. Always make missing ``ctx.llm.api_key`` a clear setup/config result before constructing
+    explicit BYOK wording. Always make missing ``ctx.llm.api_key`` a clear setup/config result before constructing
-``ChatOpenAI``.
+    a DeepAgents model.
 ``Pricing`` accepts only ``price_per_call_usd``, ``caller_pays_llm``, and
 ``notes``. Never set ``runtime.pricing.compute`` or
 ``runtime.pricing.total_usd`` in generated source; those are derived later by
@@ -325,21 +325,15 @@ def build_agent_builder(ctx: BuilderContext) -> Any:
             grant_token=ctx.grant_token,
         )
     )
-    model_kwargs: dict[str, Any] = {
+    llm_creds = SimpleNamespace(
-        "model": ctx.llm_model or settings.litellm_model,
+        model=ctx.llm_model or settings.litellm_model,
-        "base_url": ctx.llm_base_url or (settings.litellm_url + "/v1"),
+        base_url=ctx.llm_base_url or (settings.litellm_url + "/v1"),
-        "api_key": ctx.llm_api_key or settings.litellm_key,
+        api_key=ctx.llm_api_key or settings.litellm_key,
-        "stream_usage": True,
+        temperature_mode=ctx.llm_temperature_mode or "default",
-    }
+        temperature=ctx.llm_temperature,
-    if ctx.llm_temperature_mode != "omit":
+        extra_body=dict(ctx.llm_extra_body or {}),
-        model_kwargs["temperature"] = (
-            ctx.llm_temperature if ctx.llm_temperature is not None else 0.0
     )
-    if ctx.llm_extra_body:
-        model_kwargs["extra_body"] = dict(ctx.llm_extra_body)
-    model = ChatOpenAI(**model_kwargs)
     kwargs: dict[str, Any] = {
-        "model": model,
         "tools": tools,
         "system_prompt": SYSTEM_PROMPT,
     }
@@ -347,7 +341,12 @@ def build_agent_builder(ctx: BuilderContext) -> Any:
     if backend is not None:
         kwargs["backend"] = backend
     kwargs["skills"] = [BUILDER_SKILL_SOURCE]
-    return create_deep_agent(**kwargs)
+    return create_a2a_deep_agent(
+        ctx,
+        creds=llm_creds,
+        default_temperature=0.0,
+        **kwargs,
+    )
 
 
 def _build_project_backend(ctx: BuilderContext, *, settings: Settings) -> Any | None: