fix: harden generated agent platform access
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@@ -25,6 +25,8 @@ class BuilderContext:
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cp_jwt: str | None = None
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settings: Settings | None = None
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project_prefix: str | None = None
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workspace: Any | None = None
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grant_token: str | None = None
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# Optional caller-provided LLM creds (when the outer platform Card
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# declares llm_provisioning=caller_provided). Falls back to settings.
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llm_base_url: str | None = None
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@@ -49,6 +51,12 @@ 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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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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You have packaged DeepAgents skills loaded from ``/.agent-builder/skills/``.
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Use ``deepagent-agent-design`` before designing generated agent internals,
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``a2apack-agent-authoring`` when shaping the public A2A class and Card,
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@@ -255,9 +263,15 @@ Discipline:
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def build_agent_builder(ctx: BuilderContext) -> Any:
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settings = ctx.settings or load_settings()
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tools = build_tools(ToolContext(
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bucket=ctx.bucket, settings=settings, cp_jwt=ctx.cp_jwt,
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))
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tools = build_tools(
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ToolContext(
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bucket=ctx.bucket,
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settings=settings,
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cp_jwt=ctx.cp_jwt,
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workspace=ctx.workspace,
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grant_token=ctx.grant_token,
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)
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)
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model_kwargs: dict[str, Any] = {
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"model": ctx.llm_model or settings.litellm_model,
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"base_url": ctx.llm_base_url or (settings.litellm_url + "/v1"),
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@@ -295,6 +309,12 @@ def _build_project_backend(ctx: BuilderContext, *, settings: Settings) -> Any |
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prefix = ctx.project_prefix.strip("/")
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if not prefix:
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return _with_builder_skills(StateBackend())
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if ctx.workspace is not None:
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try:
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from a2a_pack.deepagents import WorkspaceBackend
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except Exception: # noqa: BLE001
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return _with_builder_skills(StateBackend())
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return _with_builder_skills(WorkspaceBackend(ctx.workspace))
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try:
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from a2a_pack import Grant, WorkspaceAccess, WorkspaceMode
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from a2a_pack.deepagents import WorkspaceBackend
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@@ -21,6 +21,12 @@ Use `A2AAgent` class attributes for runtime and marketplace behavior:
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- `wants_cp_jwt=True` is only for trusted platform agents. It forwards the
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caller's control-plane token.
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For generated/user-owned agents that call an LLM, default to
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`LLMProvisioning.CALLER_PROVIDED` with `Pricing(..., caller_pays_llm=True, ...)`.
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Use `LLMProvisioning.PLATFORM` only when the user explicitly wants
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platform-paid LLM usage. In either mode, read `ctx.llm`; never read
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`A2A_LITELLM_KEY`, provider keys, or platform secrets directly.
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Keep each `@skill` method `async`, put `RunContext[...]` immediately after
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`self`, and annotate every public argument. Do not use `*args` or `**kwargs`;
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they are rejected and would not publish a useful schema.
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@@ -30,8 +30,13 @@ Check these items:
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arguments.
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- The public schema is small and stable. No unbounded command strings, hidden
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prompt fragments, or provider credentials as public inputs.
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- The implementation reads `ctx.llm` when `llm_provisioning` is
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`CALLER_PROVIDED`.
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- The implementation reads `ctx.llm` for both `CALLER_PROVIDED` and
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`PLATFORM` LLM provisioning.
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- Generated/user agents should default to
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`llm_provisioning = LLMProvisioning.CALLER_PROVIDED` and
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`Pricing(..., caller_pays_llm=True, ...)`. If the user explicitly wants
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platform-paid LLM usage, `LLMProvisioning.PLATFORM` is acceptable only if
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the code still uses `ctx.llm` and never reads LiteLLM/provider keys directly.
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- Any use of DeepAgents file tools passes `backend=ctx.workspace_backend()`.
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- Any project skills are seeded into the backend and passed with
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`skills=skill_sources or None`.
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@@ -81,8 +86,8 @@ frontend:
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For React/Vite frontends, expect `frontend/package.json`,
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`frontend/vite.config.js`, `frontend/src/App.jsx`, and `frontend/src/a2a.js`.
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For static frontends, expect `frontend/dist/index.html`. The browser code must
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not contain platform secrets, provider keys, hard-coded deployment URLs, or
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private stack details. It should load `/app/config.json`, use
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not contain platform secrets, provider keys, LiteLLM keys, hard-coded deployment
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URLs, or private stack details. It should load `/app/config.json`, use
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`/app/a2a-client.js` or generated config endpoints, and call only the public
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`@skill` schemas.
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@@ -1,6 +1,6 @@
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"""LangChain tools the inner deepagents loop uses.
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- workspace file CRUD (boto3 → MinIO, scoped to the user's bucket)
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- workspace file CRUD through the caller's scoped workspace grant
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- sandbox python (for `a2a card` / `a2a validate` round-trips)
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- cp_deploy_tarball (call /v1/agents/from-tarball on the user's behalf)
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"""
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@@ -28,7 +28,7 @@ if TYPE_CHECKING:
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from .config import Settings
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A2A_PACK_MIN_VERSION = "0.1.25"
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A2A_PACK_MIN_VERSION = "0.1.26"
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@dataclass(frozen=True)
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@@ -36,6 +36,8 @@ class ToolContext:
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bucket: str
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settings: "Settings"
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cp_jwt: str | None = None
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workspace: Any | None = None
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grant_token: str | None = None
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async def _wait_for_live_card(
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@@ -95,6 +97,99 @@ def _ensure_bucket(s3: Any, bucket: str) -> None:
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raise
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class _ObjectStore:
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def iter_keys(self, prefix: str) -> list[str]:
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raise NotImplementedError
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def get(self, key: str) -> bytes:
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raise NotImplementedError
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def put(self, key: str, body: bytes, content_type: str) -> None:
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raise NotImplementedError
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def delete(self, key: str) -> None:
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raise NotImplementedError
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class _S3ObjectStore(_ObjectStore):
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def __init__(self, s3: Any, bucket: str) -> None:
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self._s3 = s3
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self._bucket = bucket
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def iter_keys(self, prefix: str) -> list[str]:
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keys: list[str] = []
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paginator = self._s3.get_paginator("list_objects_v2")
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for page in paginator.paginate(Bucket=self._bucket, Prefix=prefix):
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for obj in page.get("Contents") or ():
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key = obj.get("Key")
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if isinstance(key, str):
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keys.append(key)
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return sorted(keys)
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def get(self, key: str) -> bytes:
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obj = self._s3.get_object(Bucket=self._bucket, Key=key)
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return obj["Body"].read()
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def put(self, key: str, body: bytes, content_type: str) -> None:
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self._s3.put_object(
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Bucket=self._bucket,
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Key=key,
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Body=body,
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ContentType=content_type,
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)
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def delete(self, key: str) -> None:
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self._s3.delete_object(Bucket=self._bucket, Key=key)
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class _WorkspaceObjectStore(_ObjectStore):
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def __init__(self, workspace: Any) -> None:
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self._workspace = workspace
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def iter_keys(self, prefix: str) -> list[str]:
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return sorted(
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key
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for key in self._workspace.iter_paths()
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if isinstance(key, str) and key.startswith(prefix)
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)
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def get(self, key: str) -> bytes:
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return self._workspace.read_bytes(key)
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def put(self, key: str, body: bytes, content_type: str) -> None:
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del content_type
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self._workspace.write_bytes(key, body)
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def delete(self, key: str) -> None:
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self._workspace.delete_path(key)
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def _store_from_args(
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store_or_s3: Any,
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bucket_or_prefix: str,
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prefix: str | None,
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) -> tuple[_ObjectStore, str]:
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"""Support new helper calls with ObjectStore and old tests with fake S3."""
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if isinstance(store_or_s3, _ObjectStore):
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return store_or_s3, bucket_or_prefix
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if hasattr(store_or_s3, "iter_keys") and hasattr(store_or_s3, "get"):
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return store_or_s3, bucket_or_prefix
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if prefix is None:
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raise TypeError("prefix is required when passing an S3 client")
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return _S3ObjectStore(store_or_s3, bucket_or_prefix), prefix
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def _sandbox_headers(
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bearer_token: str | None,
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grant_token: str | None,
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) -> dict[str, str] | None:
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if bearer_token:
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return {"authorization": f"Bearer {bearer_token}"}
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if grant_token:
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return {"X-A2A-Grant": grant_token}
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return None
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_AGENT_NAME_RE = re.compile(r"^[a-z][a-z0-9-]{1,62}$")
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_SKILL_NAME_RE = re.compile(r"^[a-z0-9](?:[a-z0-9-]{0,62}[a-z0-9])?$")
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_BUILDER_STATE_FILE = ".a2a-builder-state.json"
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@@ -128,8 +223,12 @@ def _builder_state_key(name: str) -> str:
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def build_tools(ctx: ToolContext) -> list[Any]:
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bucket = ctx.bucket
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settings = ctx.settings
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s3 = _s3(ctx)
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_ensure_bucket(s3, bucket)
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if ctx.workspace is not None:
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store: _ObjectStore = _WorkspaceObjectStore(ctx.workspace)
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else:
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s3 = _s3(ctx)
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_ensure_bucket(s3, bucket)
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store = _S3ObjectStore(s3, bucket)
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@tool
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def init_agent_template(
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@@ -190,16 +289,11 @@ def build_tools(ctx: ToolContext) -> list[Any]:
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except ValueError as exc:
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return json.dumps({"error": str(exc)})
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out: list[dict[str, Any]] = []
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paginator = s3.get_paginator("list_objects_v2")
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for page in paginator.paginate(Bucket=bucket, Prefix=prefix):
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for obj in page.get("Contents") or ():
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rel = obj["Key"][len(prefix):]
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if rel == _BUILDER_STATE_FILE or rel.startswith(_BUILDER_INTERNAL_PREFIX):
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continue
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out.append({
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"path": rel,
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"size": int(obj.get("Size") or 0),
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})
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for key in store.iter_keys(prefix):
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rel = key[len(prefix):]
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if rel == _BUILDER_STATE_FILE or rel.startswith(_BUILDER_INTERNAL_PREFIX):
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continue
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out.append({"path": rel, "size": len(store.get(key))})
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return json.dumps({"agent": name, "files": out})
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@tool
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@@ -217,10 +311,7 @@ def build_tools(ctx: ToolContext) -> list[Any]:
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if rel == _BUILDER_STATE_FILE or rel.startswith(_BUILDER_INTERNAL_PREFIX):
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return json.dumps({"error": f"{rel} is managed by agent-builder"})
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key = prefix + rel
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s3.put_object(
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Bucket=bucket, Key=key, Body=content.encode("utf-8"),
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ContentType="text/plain; charset=utf-8",
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)
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store.put(key, content.encode("utf-8"), "text/plain; charset=utf-8")
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return json.dumps({"ok": True, "path": key, "size": len(content)})
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@tool
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@@ -235,10 +326,10 @@ def build_tools(ctx: ToolContext) -> list[Any]:
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return json.dumps({"error": f"{rel} is managed by agent-builder"})
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key = prefix + rel
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try:
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obj = s3.get_object(Bucket=bucket, Key=key)
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except ClientError as exc:
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data = store.get(key)
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except Exception as exc: # noqa: BLE001
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return json.dumps({"error": f"read failed: {exc}"})
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body = obj["Body"].read().decode("utf-8", errors="replace")
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body = data.decode("utf-8", errors="replace")
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return json.dumps({"path": key, "content": body[:200_000]})
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@tool
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@@ -275,12 +366,7 @@ def build_tools(ctx: ToolContext) -> list[Any]:
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for rel, content in payloads.items():
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key = base + rel
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encoded = content.encode("utf-8")
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s3.put_object(
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Bucket=bucket,
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Key=key,
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Body=encoded,
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ContentType="text/plain; charset=utf-8",
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)
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store.put(key, encoded, "text/plain; charset=utf-8")
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written.append({"path": key, "size": len(encoded)})
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return json.dumps({
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"ok": True,
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@@ -308,7 +394,7 @@ def build_tools(ctx: ToolContext) -> list[Any]:
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# Bundle the workspace files into the sandbox via base64 tar so
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# the sandbox doesn't need MinIO read access for this skill.
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bundle_bytes = _tarball_workspace_dir(s3, bucket, prefix)
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bundle_bytes = _tarball_workspace_dir(store, prefix)
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if not bundle_bytes:
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return json.dumps({
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"error": "no files in agents/" + name + "/ — write some first",
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@@ -331,10 +417,7 @@ def build_tools(ctx: ToolContext) -> list[Any]:
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" a2a frontend info --project . || true\n"
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"fi\n"
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)
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headers = (
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{"authorization": f"Bearer {settings.sandbox_token}"}
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if settings.sandbox_token else None
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)
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headers = _sandbox_headers(settings.sandbox_token, ctx.grant_token)
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async with httpx.AsyncClient(timeout=settings.sandbox_timeout_s + 30) as c:
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r = await c.post(
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f"{settings.sandbox_url}/v1/run_shell",
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@@ -399,7 +482,7 @@ def build_tools(ctx: ToolContext) -> list[Any]:
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latest_deploy = await _latest_cp_deployment(settings.cp_url, ctx.cp_jwt, name)
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except RuntimeError as exc:
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return json.dumps({"error": str(exc)})
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builder_state = _read_builder_state(s3, bucket, name)
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builder_state = _read_builder_state(store, name)
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drift = _deployment_drift_error(
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name,
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latest_deploy,
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@@ -412,7 +495,7 @@ def build_tools(ctx: ToolContext) -> list[Any]:
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if force:
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base_head = None
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bundle_bytes = _tarball_workspace_dir(s3, bucket, prefix)
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bundle_bytes = _tarball_workspace_dir(store, prefix)
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if not bundle_bytes:
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return json.dumps({"error": f"no files at agents/{name}/"})
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# Read the entrypoint from a2a.yaml so we can pass it verbatim.
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@@ -446,8 +529,7 @@ def build_tools(ctx: ToolContext) -> list[Any]:
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head_sha = body.get("head_sha")
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if isinstance(head_sha, str) and head_sha:
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_write_builder_state(
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s3,
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bucket,
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store,
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name,
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{
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"agent": name,
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@@ -579,10 +661,9 @@ def build_tools(ctx: ToolContext) -> list[Any]:
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return json.dumps({"error": f"invalid source tarball: {exc}"})
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if not files:
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return json.dumps({"error": "managed repo source export was empty"})
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written = _replace_workspace_files(s3, bucket, prefix, files)
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written = _replace_workspace_files(store, prefix, files)
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_write_builder_state(
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s3,
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bucket,
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store,
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name,
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{
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"agent": name,
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@@ -691,58 +772,46 @@ def build_tools(ctx: ToolContext) -> list[Any]:
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# --- helpers (not tools) ---
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def _tarball_workspace_dir(s3: Any, bucket: str, prefix: str) -> bytes:
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"""Pull every object under ``prefix`` from MinIO and produce a
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gzipped tarball whose entries are relative to ``prefix``."""
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paginator = s3.get_paginator("list_objects_v2")
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def _tarball_workspace_dir(
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store_or_s3: Any,
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bucket_or_prefix: str,
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prefix: str | None = None,
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) -> bytes:
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"""Pull every object under ``prefix`` and produce a relative tarball."""
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store, prefix = _store_from_args(store_or_s3, bucket_or_prefix, prefix)
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buf = io.BytesIO()
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added = False
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with tarfile.open(fileobj=buf, mode="w:gz") as tf:
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for page in paginator.paginate(Bucket=bucket, Prefix=prefix):
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for obj in page.get("Contents") or ():
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key = obj["Key"]
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rel = key[len(prefix):]
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if not rel:
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continue
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if rel == _BUILDER_STATE_FILE or rel.startswith(_BUILDER_INTERNAL_PREFIX):
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continue
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body = s3.get_object(Bucket=bucket, Key=key)["Body"].read()
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info = tarfile.TarInfo(name=rel)
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info.size = len(body)
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info.mode = 0o644
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tf.addfile(info, io.BytesIO(body))
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added = True
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for key in store.iter_keys(prefix):
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rel = key[len(prefix):]
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if not rel:
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continue
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if rel == _BUILDER_STATE_FILE or rel.startswith(_BUILDER_INTERNAL_PREFIX):
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continue
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body = store.get(key)
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info = tarfile.TarInfo(name=rel)
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info.size = len(body)
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info.mode = 0o644
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tf.addfile(info, io.BytesIO(body))
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added = True
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return buf.getvalue() if added else b""
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def _read_builder_state(s3: Any, bucket: str, name: str) -> dict[str, Any]:
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def _read_builder_state(store: _ObjectStore, name: str) -> dict[str, Any]:
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||||
try:
|
||||
obj = s3.get_object(Bucket=bucket, Key=_builder_state_key(name))
|
||||
except ClientError as exc:
|
||||
code = exc.response.get("Error", {}).get("Code")
|
||||
if code in {"404", "NoSuchKey", "NotFound"}:
|
||||
return {}
|
||||
return {}
|
||||
try:
|
||||
data = json.loads(obj["Body"].read().decode("utf-8"))
|
||||
except (TypeError, ValueError, UnicodeDecodeError):
|
||||
data = json.loads(store.get(_builder_state_key(name)).decode("utf-8"))
|
||||
except Exception: # noqa: BLE001
|
||||
return {}
|
||||
return data if isinstance(data, dict) else {}
|
||||
|
||||
|
||||
def _write_builder_state(
|
||||
s3: Any,
|
||||
bucket: str,
|
||||
store: _ObjectStore,
|
||||
name: str,
|
||||
state: dict[str, Any],
|
||||
) -> None:
|
||||
body = json.dumps(state, sort_keys=True, indent=2).encode("utf-8")
|
||||
s3.put_object(
|
||||
Bucket=bucket,
|
||||
Key=_builder_state_key(name),
|
||||
Body=body,
|
||||
ContentType="application/json",
|
||||
)
|
||||
store.put(_builder_state_key(name), body, "application/json")
|
||||
|
||||
|
||||
def _render_skill_md(skill_name: str, description: str, instructions: str) -> str:
|
||||
@@ -798,16 +867,9 @@ def _safe_supporting_skill_path(path: str) -> str:
|
||||
return rel
|
||||
|
||||
|
||||
def _delete_workspace_objects(s3: Any, bucket: str, prefix: str) -> None:
|
||||
# MinIO rejects boto3's batch DeleteObjects request in this environment
|
||||
# when Content-MD5 is not present. Per-object deletes avoid that fragile
|
||||
# API path and are fine for agent source workspaces.
|
||||
paginator = s3.get_paginator("list_objects_v2")
|
||||
for page in paginator.paginate(Bucket=bucket, Prefix=prefix):
|
||||
for obj in page.get("Contents") or ():
|
||||
key = obj.get("Key")
|
||||
if key:
|
||||
s3.delete_object(Bucket=bucket, Key=key)
|
||||
def _delete_workspace_objects(store: _ObjectStore, prefix: str) -> None:
|
||||
for key in store.iter_keys(prefix):
|
||||
store.delete(key)
|
||||
|
||||
|
||||
def _files_from_tarball(bundle: bytes) -> dict[str, bytes]:
|
||||
@@ -834,21 +896,25 @@ def _files_from_tarball(bundle: bytes) -> dict[str, bytes]:
|
||||
|
||||
|
||||
def _replace_workspace_files(
|
||||
s3: Any,
|
||||
bucket: str,
|
||||
prefix: str,
|
||||
files: dict[str, bytes],
|
||||
store_or_s3: Any,
|
||||
bucket_or_prefix: str,
|
||||
prefix_or_files: str | dict[str, bytes],
|
||||
files: dict[str, bytes] | None = None,
|
||||
) -> list[dict[str, Any]]:
|
||||
_delete_workspace_objects(s3, bucket, prefix)
|
||||
if files is None:
|
||||
if not isinstance(prefix_or_files, dict):
|
||||
raise TypeError("files are required")
|
||||
store, prefix = _store_from_args(store_or_s3, bucket_or_prefix, None)
|
||||
files = prefix_or_files
|
||||
else:
|
||||
if not isinstance(prefix_or_files, str):
|
||||
raise TypeError("prefix must be a string")
|
||||
store, prefix = _store_from_args(store_or_s3, bucket_or_prefix, prefix_or_files)
|
||||
written: list[dict[str, Any]] = []
|
||||
_delete_workspace_objects(store, prefix)
|
||||
for rel, body in sorted(files.items()):
|
||||
key = prefix + rel
|
||||
s3.put_object(
|
||||
Bucket=bucket,
|
||||
Key=key,
|
||||
Body=body,
|
||||
ContentType="application/octet-stream",
|
||||
)
|
||||
store.put(key, body, "application/octet-stream")
|
||||
written.append({"path": rel, "size": len(body)})
|
||||
return written
|
||||
|
||||
|
||||
Reference in New Issue
Block a user