fix: generate agents with platform LLM grants
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@@ -29,8 +29,8 @@ class BuilderContext:
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grant_token: str | None = None
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# LLM creds forwarded by the orchestrator according to this agent's Card.
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# The builder accepts caller-selected creds and falls back to platform
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# grants; generated agents usually use caller-provided creds. Falls back
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# to settings for local development.
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# grants. Hosted generated agents should usually use platform grants too.
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# Falls back to settings for local development.
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llm_base_url: str | None = None
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llm_api_key: str | None = None
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llm_model: str | None = None
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@@ -47,17 +47,20 @@ user's workspace at ``agents/<name>/`` and then deploy it through the
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control plane.
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The default starter is the current a2a-pack DeepAgents scaffold. It declares
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``LLMProvisioning.CALLER_PROVIDED``, reads caller LLM credentials from
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``ctx.llm``, builds a ``ChatOpenAI`` model from those credentials, and wires a
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small tool-calling DeepAgent with ``create_deep_agent`` plus
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``wrap_model_call`` middleware. Do not recreate this from memory: call
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``init_agent_template`` first and modify the generated files.
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``LLMProvisioning.PLATFORM``, reads the scoped LLM grant from ``ctx.llm``,
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builds a ``ChatOpenAI`` model from those credentials, and wires a small
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tool-calling DeepAgent with ``create_deep_agent`` plus ``wrap_model_call``
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middleware. Do not recreate this from memory: call ``init_agent_template`` first
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and modify the generated files.
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Default generated/user agents to ``LLMProvisioning.CALLER_PROVIDED`` and
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``caller_pays_llm=True`` unless the user explicitly wants platform-paid LLM
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usage. ``LLMProvisioning.PLATFORM`` is allowed only through the A2A LiteLLM
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grant path: the generated agent must still read ``ctx.llm`` and must never read
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``A2A_LITELLM_KEY`` or any provider key directly.
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Default hosted generated/user agents to ``LLMProvisioning.PLATFORM`` and
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``caller_pays_llm=False`` so main-agent handoffs mint a scoped A2A LiteLLM grant
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for the callee. The generated agent must still read ``ctx.llm`` and must never
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read ``A2A_LITELLM_KEY``, ``OPENAI_API_KEY``, LiteLLM master keys, or provider
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keys directly. If the user explicitly asks for BYOK or caller-paid inference,
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use ``LLMProvisioning.CALLER_PROVIDED`` with ``caller_pays_llm=True`` and make
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missing ``ctx.llm.api_key`` a clear setup/config result before constructing
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``ChatOpenAI``.
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``LLMProvisioning.PLATFORM_OR_CALLER_PROVIDED`` is reserved for trusted
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platform/meta agents that should prefer caller-selected credentials and fall
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back to a scoped platform grant; do not use it for ordinary generated agents
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