pub trait GraphActionExecutor: Send + Sync {
// Required methods
fn execute_llm_infer<'life0, 'life1, 'life2, 'async_trait>(
&'life0 self,
action: &'life1 NodeAction,
state: &'life2 mut GraphState,
) -> Pin<Box<dyn Future<Output = Result<ActionResult>> + Send + 'async_trait>>
where Self: 'async_trait,
'life0: 'async_trait,
'life1: 'async_trait,
'life2: 'async_trait;
fn execute_tool_call<'life0, 'life1, 'life2, 'life3, 'async_trait>(
&'life0 self,
tool_name: &'life1 str,
args: &'life2 Value,
state: &'life3 mut GraphState,
) -> Pin<Box<dyn Future<Output = Result<ActionResult>> + Send + 'async_trait>>
where Self: 'async_trait,
'life0: 'async_trait,
'life1: 'async_trait,
'life2: 'async_trait,
'life3: 'async_trait;
fn execute_paradigm_switch<'life0, 'life1, 'life2, 'async_trait>(
&'life0 self,
paradigm: &'life1 str,
state: &'life2 mut GraphState,
) -> Pin<Box<dyn Future<Output = Result<ActionResult>> + Send + 'async_trait>>
where Self: 'async_trait,
'life0: 'async_trait,
'life1: 'async_trait,
'life2: 'async_trait;
fn parse_decision<'life0, 'life1, 'life2, 'async_trait>(
&'life0 self,
response: &'life1 InferenceResponse,
state: &'life2 mut GraphState,
) -> Pin<Box<dyn Future<Output = Result<GraphDecision>> + Send + 'async_trait>>
where Self: 'async_trait,
'life0: 'async_trait,
'life1: 'async_trait,
'life2: 'async_trait;
}Expand description
Trait for executing graph node actions with full AgentLoop integration.
This is the P2-2 bridge — when a concrete implementation (from oneai-agent)
is provided, the StateGraphExecutor delegates LlmInfer and ToolCall nodes
to the AgentLoop’s full pipeline instead of directly calling provider.infer()
and tool.execute(). This means:
- LlmInfer: Gets proper tool definitions (filtered by paradigm config), domain pack tool decorators, PreInfer/PostInfer hooks, context assembly, and the OutputParser for decision parsing.
- ToolCall: Gets PreToolUse/PostToolUse hooks, domain permission checks, approval gate interaction, and error recovery.
- SwitchParadigm: Changes the active paradigm (updates tool filter and system prompt for subsequent nodes).
The DirectProviderActionExecutor provides backward-compatible behavior
(direct provider + tool execution, no AgentLoop integration). It’s used
when no AgentLoop is available (e.g., standalone StateGraph execution).
Required Methods§
Sourcefn execute_llm_infer<'life0, 'life1, 'life2, 'async_trait>(
&'life0 self,
action: &'life1 NodeAction,
state: &'life2 mut GraphState,
) -> Pin<Box<dyn Future<Output = Result<ActionResult>> + Send + 'async_trait>>where
Self: 'async_trait,
'life0: 'async_trait,
'life1: 'async_trait,
'life2: 'async_trait,
fn execute_llm_infer<'life0, 'life1, 'life2, 'async_trait>(
&'life0 self,
action: &'life1 NodeAction,
state: &'life2 mut GraphState,
) -> Pin<Box<dyn Future<Output = Result<ActionResult>> + Send + 'async_trait>>where
Self: 'async_trait,
'life0: 'async_trait,
'life1: 'async_trait,
'life2: 'async_trait,
Execute an LLM inference node — using full AgentLoop infrastructure.
When include_tool_definitions is true, builds tool definitions based on
tool_filter_override or the active paradigm’s tool set. This is critical
for ReAct loops — the model needs tools to decide whether to call them.
After inference, the response is parsed into a GraphDecision and stored
in state.parsed_decision for edge condition routing.
Sourcefn execute_tool_call<'life0, 'life1, 'life2, 'life3, 'async_trait>(
&'life0 self,
tool_name: &'life1 str,
args: &'life2 Value,
state: &'life3 mut GraphState,
) -> Pin<Box<dyn Future<Output = Result<ActionResult>> + Send + 'async_trait>>where
Self: 'async_trait,
'life0: 'async_trait,
'life1: 'async_trait,
'life2: 'async_trait,
'life3: 'async_trait,
fn execute_tool_call<'life0, 'life1, 'life2, 'life3, 'async_trait>(
&'life0 self,
tool_name: &'life1 str,
args: &'life2 Value,
state: &'life3 mut GraphState,
) -> Pin<Box<dyn Future<Output = Result<ActionResult>> + Send + 'async_trait>>where
Self: 'async_trait,
'life0: 'async_trait,
'life1: 'async_trait,
'life2: 'async_trait,
'life3: 'async_trait,
Execute a tool call node — using AgentLoop’s permission and hooks.
When a GraphActionExecutor from oneai-agent is used, this method
runs PreToolUse hooks, checks domain permissions, interacts with the
approval gate, executes the tool, runs PostToolUse hooks, and handles
error recovery.
Sourcefn execute_paradigm_switch<'life0, 'life1, 'life2, 'async_trait>(
&'life0 self,
paradigm: &'life1 str,
state: &'life2 mut GraphState,
) -> Pin<Box<dyn Future<Output = Result<ActionResult>> + Send + 'async_trait>>where
Self: 'async_trait,
'life0: 'async_trait,
'life1: 'async_trait,
'life2: 'async_trait,
fn execute_paradigm_switch<'life0, 'life1, 'life2, 'async_trait>(
&'life0 self,
paradigm: &'life1 str,
state: &'life2 mut GraphState,
) -> Pin<Box<dyn Future<Output = Result<ActionResult>> + Send + 'async_trait>>where
Self: 'async_trait,
'life0: 'async_trait,
'life1: 'async_trait,
'life2: 'async_trait,
Execute a paradigm switch node.
Updates state.active_paradigm and clears state.parsed_decision.
Subsequent LlmInfer nodes will use the new paradigm’s tool set
and system prompt.
Sourcefn parse_decision<'life0, 'life1, 'life2, 'async_trait>(
&'life0 self,
response: &'life1 InferenceResponse,
state: &'life2 mut GraphState,
) -> Pin<Box<dyn Future<Output = Result<GraphDecision>> + Send + 'async_trait>>where
Self: 'async_trait,
'life0: 'async_trait,
'life1: 'async_trait,
'life2: 'async_trait,
fn parse_decision<'life0, 'life1, 'life2, 'async_trait>(
&'life0 self,
response: &'life1 InferenceResponse,
state: &'life2 mut GraphState,
) -> Pin<Box<dyn Future<Output = Result<GraphDecision>> + Send + 'async_trait>>where
Self: 'async_trait,
'life0: 'async_trait,
'life1: 'async_trait,
'life2: 'async_trait,
Parse an LLM response into a GraphDecision.
Uses the same OutputParser as the AgentLoop for consistent
decision parsing. Stores the result in state.parsed_decision.
Dyn Compatibility§
This trait is dyn compatible.
In older versions of Rust, dyn compatibility was called "object safety".