Run context
RunContextWrapper
dataclass
Bases: Generic[TContext]
This wraps the context object that you passed to Runner.run(). It also contains
information about the usage of the agent run so far.
NOTE: Contexts are not passed to the LLM. They're a way to pass dependencies and data to code you implement, like tool functions, callbacks, hooks, etc.
Source code in src/agents/run_context.py
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context
instance-attribute
The context object (or None), passed by you to Runner.run()
usage
class-attribute
instance-attribute
The usage of the agent run so far. For streamed responses, the usage will be stale until the last chunk of the stream is processed.
tool_input
class-attribute
instance-attribute
Structured input for the current agent tool run, when available.
is_tool_approved
Return True/False/None for the given tool call.
Source code in src/agents/run_context.py
approve_tool
approve_tool(
approval_item: ToolApprovalItem,
always_approve: bool = False,
) -> None
Approve a tool call, optionally for all future calls.
Source code in src/agents/run_context.py
reject_tool
reject_tool(
approval_item: ToolApprovalItem,
always_reject: bool = False,
) -> None
Reject a tool call, optionally for all future calls.
Source code in src/agents/run_context.py
get_approval_status
get_approval_status(
tool_name: str,
call_id: str,
*,
existing_pending: ToolApprovalItem | None = None,
) -> bool | None
Return approval status, retrying with pending item's tool name if necessary.
Source code in src/agents/run_context.py
AgentHookContext
dataclass
Bases: RunContextWrapper[TContext]
Context passed to agent hooks (on_start, on_end).
Source code in src/agents/run_context.py
context
instance-attribute
The context object (or None), passed by you to Runner.run()
usage
class-attribute
instance-attribute
The usage of the agent run so far. For streamed responses, the usage will be stale until the last chunk of the stream is processed.
tool_input
class-attribute
instance-attribute
Structured input for the current agent tool run, when available.
is_tool_approved
Return True/False/None for the given tool call.
Source code in src/agents/run_context.py
approve_tool
approve_tool(
approval_item: ToolApprovalItem,
always_approve: bool = False,
) -> None
Approve a tool call, optionally for all future calls.
Source code in src/agents/run_context.py
reject_tool
reject_tool(
approval_item: ToolApprovalItem,
always_reject: bool = False,
) -> None
Reject a tool call, optionally for all future calls.
Source code in src/agents/run_context.py
get_approval_status
get_approval_status(
tool_name: str,
call_id: str,
*,
existing_pending: ToolApprovalItem | None = None,
) -> bool | None
Return approval status, retrying with pending item's tool name if necessary.