Files
dbx/crates/dbx-core/src/agent_events.rs
T

110 lines
4.2 KiB
Rust

use serde::{Deserialize, Serialize};
/// Events emitted by the agent loop, streamed to the frontend via SSE.
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(tag = "type", rename_all = "snake_case")]
pub enum AgentEvent {
/// A turn in the agent loop has started.
TurnStart { turn: u32 },
/// Text delta from the LLM response.
TextDelta { delta: String },
/// Request a localized, exact-SQL confirmation after an unconfirmed write
/// tool call. The desktop client owns the user-facing wording.
WriteSqlConfirmationRequired { sql: String },
/// Tell the desktop client to show localized manual-review guidance after
/// an AI write attempt against a production target.
ProductionWriteBlocked { sql: String },
/// Reasoning/thinking delta (for models that support it).
ReasoningDelta { delta: String },
/// The LLM wants to call a tool.
ToolCallStart { tool_call_id: String, tool_name: String, args: serde_json::Value },
/// A tool execution has completed.
ToolCallEnd { tool_call_id: String, tool_name: String, result: serde_json::Value, is_error: bool },
/// A turn in the agent loop has ended.
TurnEnd { turn: u32 },
/// The reply stream is fully consumed, but the run is NOT yet confirmed
/// successful (the CLI process may still exit non-zero or hang after closing
/// stdout). Non-terminal: the frontend may stop the reply animation on it,
/// but must keep listening for the real `AgentEnd` / `Error`.
ResponseComplete,
/// The agent loop has finished successfully.
AgentEnd { input_tokens: Option<u32>, output_tokens: Option<u32> },
/// Context was compacted to stay within context window limits.
ContextCompacted {
summary: String,
summary_tokens: u32,
compacted_messages: usize,
estimated_before: u32,
estimated_after: u32,
},
/// An error occurred during the agent loop.
Error { message: String },
}
/// A unified tool call extracted from any provider's response.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ToolCall {
pub id: String,
pub name: String,
pub arguments: serde_json::Value,
/// Opaque provider response data required to replay this tool call in a
/// follow-up request (for example, Gemini thought signatures).
#[serde(default, skip_serializing_if = "Option::is_none")]
pub provider_payload: Option<serde_json::Value>,
}
/// Result of executing a tool.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ToolResult {
pub tool_call_id: String,
pub tool_name: String,
pub content: String,
pub is_error: bool,
/// Structured explain data (QueryResult) for explain_query tool results.
/// Set only by execute_explain_query; None for all other tools.
#[serde(skip_serializing_if = "Option::is_none")]
pub explain_data: Option<serde_json::Value>,
}
/// Definition of a tool available to the agent.
#[derive(Debug, Clone)]
pub struct ToolDefinition {
pub name: &'static str,
pub description: &'static str,
pub parameters: serde_json::Value,
pub read_only: bool,
/// Whether this tool can be executed in parallel with other tools.
/// false = must run sequentially (e.g. execute_query).
pub parallel_ok: bool,
}
impl ToolDefinition {
/// Convert to OpenAI-compatible tool JSON for the API request.
pub fn to_openai_tool(&self) -> serde_json::Value {
serde_json::json!({
"type": "function",
"function": {
"name": self.name,
"description": self.description,
"parameters": self.parameters
}
})
}
/// Convert to Anthropic-compatible tool JSON.
pub fn to_anthropic_tool(&self) -> serde_json::Value {
serde_json::json!({
"name": self.name,
"description": self.description,
"input_schema": self.parameters
})
}
/// Convert to Gemini-compatible function declaration.
pub fn to_gemini_tool(&self) -> serde_json::Value {
serde_json::json!({
"name": self.name,
"description": self.description,
"parameters": self.parameters
})
}
}