gitdataai/libs/agent/tool/rig_adapter.rs

346 lines
13 KiB
Rust

//! Adapter to bridge our ToolRegistry with rig's Tool system.
//!
//! This module provides adapters that wrap our custom ToolHandler/Registry
//! to implement rig's ToolDyn trait, enabling integration with rig's Agent.
use std::collections::HashMap;
use std::time::{Duration, Instant};
use futures::FutureExt;
use rig::completion::ToolDefinition;
use rig::tool::{ToolDyn, ToolError, ToolSet};
use super::context::ToolContext;
use super::definition::ToolDefinition as AgentToolDefinition;
use super::recorder::{ToolCallRecord, ToolCallRecorder};
use super::registry::{ToolHandler, ToolRegistry};
use queue::MessageProducer;
/// Returns true if the tool error message indicates a transient failure that can be retried.
pub fn is_retryable_tool_error(msg: &str) -> bool {
let lower = msg.to_lowercase();
lower.contains("retry")
|| lower.contains("timeout")
|| lower.contains("rate limit")
|| lower.contains("too many requests")
|| lower.contains("unavailable")
|| lower.contains("connection refused")
|| lower.contains("5")
|| lower.contains("try again")
}
/// Wraps a ToolDyn with automatic retry and tool call recording.
///
/// Used by the rig Agent path to replace the custom ReAct executor closure.
pub struct RecordingTool {
inner: Box<dyn ToolDyn>,
db: db::database::AppDatabase,
session_id: uuid::Uuid,
caller: uuid::Uuid,
}
impl RecordingTool {
pub fn new(
inner: Box<dyn ToolDyn>,
db: db::database::AppDatabase,
session_id: uuid::Uuid,
caller: uuid::Uuid,
) -> Self {
Self { inner, db, session_id, caller }
}
}
impl ToolDyn for RecordingTool {
fn name(&self) -> String {
self.inner.name()
}
fn definition<'a>(
&'a self,
prompt: String,
) -> std::pin::Pin<Box<dyn std::future::Future<Output = ToolDefinition> + Send + 'a>> {
self.inner.definition(prompt)
}
fn call<'a>(
&'a self,
args: String,
) -> std::pin::Pin<Box<dyn std::future::Future<Output = Result<String, ToolError>> + Send + 'a>> {
let inner: &'a Box<dyn ToolDyn> = &self.inner;
let db = self.db.clone();
let session_id = self.session_id;
let caller = self.caller;
let tool_name = inner.name();
Box::pin(async move {
let recorder = ToolCallRecorder::with_session(db.clone(), session_id);
let max_retries = 3u32;
let mut last_err = String::new();
let start = Instant::now();
for attempt in 0..=max_retries {
let attempt_start = Instant::now();
let attempt_args = args.clone();
let attempt_result = inner.call(attempt_args).await;
let elapsed_ms = attempt_start.elapsed().as_millis() as i64;
let args_json: serde_json::Value =
serde_json::from_str(&args).unwrap_or_default();
match attempt_result {
Ok(value) => {
recorder.record(ToolCallRecord {
tool_call_id: tool_name.clone(),
session_id,
tool_name: tool_name.clone(),
caller,
arguments: args_json,
status: models::ai::ToolCallStatus::Success,
execution_time_ms: Some(elapsed_ms),
error_message: None,
error_stack: None,
retry_count: attempt as i32,
});
return Ok(value);
}
Err(e) => {
let err_msg = e.to_string();
if attempt < max_retries && is_retryable_tool_error(&err_msg) {
last_err = err_msg;
let backoff_ms =
100u64.saturating_mul(2u64.pow(attempt as u32));
tokio::time::sleep(Duration::from_millis(backoff_ms)).await;
continue;
}
recorder.record(ToolCallRecord {
tool_call_id: tool_name.clone(),
session_id,
tool_name: tool_name.clone(),
caller,
arguments: args_json,
status: models::ai::ToolCallStatus::Failed,
execution_time_ms: Some(elapsed_ms),
error_message: Some(err_msg.clone()),
error_stack: None,
retry_count: attempt as i32,
});
return Err(e);
}
}
}
// Fallback: record failure after all retries exhausted
let elapsed_ms = start.elapsed().as_millis() as i64;
let args_json: serde_json::Value =
serde_json::from_str(&args).unwrap_or_default();
recorder.record(ToolCallRecord {
tool_call_id: tool_name.clone(),
session_id,
tool_name: tool_name.clone(),
caller,
arguments: args_json,
status: models::ai::ToolCallStatus::Failed,
execution_time_ms: Some(elapsed_ms),
error_message: Some(last_err),
error_stack: None,
retry_count: max_retries as i32,
});
Err(ToolError::ToolCallError(Box::new(std::io::Error::new(
std::io::ErrorKind::Other,
"max retries exceeded",
))))
})
}
}
/// A wrapper that converts our ToolRegistry to rig's ToolSet.
pub struct RigToolSet {
/// The rig ToolSet
inner: ToolSet,
/// Tool definitions for converting back
definitions: HashMap<String, AgentToolDefinition>,
}
impl RigToolSet {
/// Create a new RigToolSet from our ToolRegistry.
pub fn from_registry(
registry: &ToolRegistry,
db: db::database::AppDatabase,
cache: db::cache::AppCache,
config: config::AppConfig,
room_id: uuid::Uuid,
sender_id: Option<uuid::Uuid>,
project_id: uuid::Uuid,
message_producer: Option<MessageProducer>,
ai_model_id: Option<uuid::Uuid>,
ai_model_name: Option<String>,
sent_in_turn: std::sync::Arc<std::sync::Mutex<Vec<uuid::Uuid>>>,
) -> Self {
let mut toolset = ToolSet::default();
let mut definitions = HashMap::new();
for name in registry.definitions().map(|d| d.name.clone()).collect::<Vec<_>>() {
let def = registry.definitions().find(|d| d.name == name).cloned().unwrap_or_else(|| {
AgentToolDefinition::new(&name)
});
definitions.insert(name.clone(), def.clone());
let handler = registry.get(&name).cloned();
if let Some(handler) = handler {
let adapter = RigToolAdapter {
handler,
definition: def,
db: db.clone(),
cache: cache.clone(),
config: config.clone(),
room_id,
sender_id,
project_id,
message_producer: message_producer.clone(),
ai_model_id,
ai_model_name: ai_model_name.clone(),
sent_in_turn: sent_in_turn.clone(),
};
toolset.add_tool(adapter);
}
}
Self { inner: toolset, definitions }
}
/// Get the inner rig ToolSet
pub fn inner(&self) -> &ToolSet {
&self.inner
}
/// Get the tool definitions
pub fn definitions(&self) -> &HashMap<String, AgentToolDefinition> {
&self.definitions
}
/// Convert to JSON tool definitions for non-rig paths
pub fn to_openai_tools(&self) -> Vec<serde_json::Value> {
self.definitions.values()
.map(|d| d.to_openai_tool())
.collect()
}
}
/// Adapter that wraps our ToolHandler to implement rig's ToolDyn.
pub struct RigToolAdapter {
handler: ToolHandler,
definition: AgentToolDefinition,
db: db::database::AppDatabase,
cache: db::cache::AppCache,
config: config::AppConfig,
room_id: uuid::Uuid,
sender_id: Option<uuid::Uuid>,
project_id: uuid::Uuid,
message_producer: Option<MessageProducer>,
ai_model_id: Option<uuid::Uuid>,
ai_model_name: Option<String>,
sent_in_turn: std::sync::Arc<std::sync::Mutex<Vec<uuid::Uuid>>>,
}
impl RigToolAdapter {
/// Create a new RigToolAdapter with all required context.
pub fn new(
handler: ToolHandler,
definition: AgentToolDefinition,
db: db::database::AppDatabase,
cache: db::cache::AppCache,
config: config::AppConfig,
room_id: uuid::Uuid,
sender_id: Option<uuid::Uuid>,
project_id: uuid::Uuid,
message_producer: Option<MessageProducer>,
ai_model_id: Option<uuid::Uuid>,
ai_model_name: Option<String>,
sent_in_turn: std::sync::Arc<std::sync::Mutex<Vec<uuid::Uuid>>>,
) -> Self {
Self { handler, definition, db, cache, config, room_id, sender_id, project_id, message_producer, ai_model_id, ai_model_name, sent_in_turn }
}
}
impl ToolDyn for RigToolAdapter {
fn name(&self) -> String {
self.definition.name.clone()
}
fn definition<'a>(&'a self, _prompt: String) -> std::pin::Pin<Box<dyn std::future::Future<Output = ToolDefinition> + Send + 'a>> {
let def = self.definition.clone();
Box::pin(async move {
ToolDefinition {
name: def.name.clone(),
description: def.description.unwrap_or_default(),
parameters: def.parameters
.as_ref()
.map(|p| serde_json::to_value(p).unwrap_or(serde_json::json!({})))
.unwrap_or(serde_json::json!({})),
}
})
}
fn call<'a>(&'a self, args: String) -> std::pin::Pin<Box<dyn std::future::Future<Output = Result<String, ToolError>> + Send + 'a>> {
let handler = self.handler.clone();
let db = self.db.clone();
let cache = self.cache.clone();
let config = self.config.clone();
let room_id = self.room_id;
let sender_id = self.sender_id;
let project_id = self.project_id;
let message_producer = self.message_producer.clone();
let ai_model_id = self.ai_model_id;
let ai_model_name = self.ai_model_name.clone();
let sent_in_turn = self.sent_in_turn.clone();
async move {
let mut ctx = ToolContext::new(
db,
cache,
config,
room_id,
sender_id,
)
.with_project(project_id)
.with_sent_in_turn(sent_in_turn);
if let Some(mp) = message_producer {
ctx = ctx.with_message_producer(mp);
}
if let Some(mid) = ai_model_id {
ctx = ctx.with_ai_model(mid, ai_model_name.unwrap_or_default());
}
let args_json: serde_json::Value = serde_json::from_str(&args)
.map_err(|e| ToolError::JsonError(e))?;
let result = handler.execute(ctx, args_json).await;
match result {
Ok(value) => {
serde_json::to_string(&value)
.map_err(|e| ToolError::JsonError(e))
}
Err(e) => {
let error_msg = match e {
super::call::ToolError::NotFound(n) => n,
super::call::ToolError::ParseError(p) => p,
super::call::ToolError::ExecutionError(e) => e,
super::call::ToolError::RecursionLimitExceeded { max_depth } => {
format!("recursion limit exceeded (max depth: {})", max_depth)
}
super::call::ToolError::MaxToolCallsExceeded(n) => {
format!("max tool calls exceeded: {}", n)
}
super::call::ToolError::Internal(i) => i,
};
Err(ToolError::ToolCallError(Box::new(std::io::Error::new(
std::io::ErrorKind::Other,
error_msg,
))))
}
}
}.boxed()
}
}