First Version

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2026-07-10 15:02:09 +01:00
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[package]
name = "plugin-honcho"
version = "0.1.0"
edition = "2024"
[dependencies]
core-api = { path = "../core-api" }
honcho-client = { path = "../honcho-client" }
anyhow = "1"
async-trait = "0.1"
serde_json = "1"
tokio = { version = "1", features = ["full"] }
tokio-util = { version = "0.7", features = ["rt"] }
tracing = "0.1"
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//! Honcho memory plugin — streams completed chat turns to a Honcho server
//! and exposes a [`Memory`] read path via [`HonchoMemory`].
//!
//! # Write path
//! Subscribes to the [`ChatEventBus`] and forwards every user/assistant message
//! from **interactive, non-ephemeral** sessions to Honcho so that the server can
//! build long-term memory (conclusions) about the user.
//!
//! # Read path
//! [`HonchoMemory`] implements the [`Memory`] trait. Before each LLM turn,
//! `query_context` calls Honcho's `session_context` API to retrieve a
//! token-budgeted summary of what is known so far and injects it into the
//! system prompt.
//!
//! # Filtering (write path)
//! An event is forwarded only when **all** of the following hold:
//! - `is_interactive = true` — a real user is in the conversation
//! - `is_ephemeral = false` — not a short-lived automated session (cron, tic)
//! - `is_synthetic = false` — message content was typed by a user, not
//! injected by the system
//!
//! # Honcho object model
//! ```
//! workspace (one per agent instance, from config)
//! ├── peer "user" (observe_others = true)
//! ├── peer "assistant" (observe_me = true)
//! └── session (one per local chat_sessions.id, created lazily)
//! ├── message peer_id="user"
//! └── message peer_id="assistant"
//! ```
//!
//! The `session_map` (local session_id → Honcho session UUID) is shared between
//! the write-path listener task and `HonchoMemory` so both sides see the same
//! mapping without duplication.
use std::collections::HashMap;
use std::sync::Arc;
use std::sync::atomic::{AtomicBool, Ordering};
use anyhow::Result;
use async_trait::async_trait;
use serde_json::{Value, json};
use tokio::sync::{Mutex, RwLock};
use tokio::task::JoinHandle;
use tokio_util::sync::CancellationToken;
use tracing::{debug, info, trace, warn};
use core_api::bus::{BusEvent, ChatEvent, ChatEventRole, RecvError};
use core_api::memory::Memory;
use core_api::plugin::PluginContext;
use core_api::tool::{Tool, ToolCategory};
use honcho_client::HonchoClient;
use honcho_client::models::{
ConclusionCreate, MessageCreate, PeerCreate, PeerRepresentationGet,
SessionCreate, SessionPeerConfig, WorkspaceCreate,
};
const PLUGIN_ID: &str = "honcho";
const PEER_USER: &str = "user";
const PEER_ASSISTANT: &str = "assistant";
/// Token budget for session_context queries.
const CONTEXT_TOKENS: u32 = 2000;
// ── Config ────────────────────────────────────────────────────────────────────
#[derive(Clone, PartialEq)]
struct HonchoConfig {
base_url: String,
api_key: String,
workspace_id: String,
}
// ── HonchoMemory ──────────────────────────────────────────────────────────────
/// Implements the [`Memory`] trait for Honcho.
///
/// Created once in [`HonchoPlugin::new`] and shared for the plugin's lifetime.
/// The plugin calls [`HonchoMemory::activate`] on start and
/// [`HonchoMemory::deactivate`] on stop to swap the live client in/out without
/// replacing the `Arc`.
pub struct HonchoMemory {
/// Mirrors `HonchoPlugin::running`; false when the plugin is stopped.
running: Arc<AtomicBool>,
/// Active client + workspace_id; None when the plugin is not running.
inner: std::sync::RwLock<Option<HonchoInner>>,
/// Shared with the write-path listener task.
session_map: Arc<RwLock<HashMap<i64, String>>>,
}
#[derive(Clone)]
struct HonchoInner {
client: Arc<HonchoClient>,
workspace_id: String,
}
impl HonchoMemory {
fn new(running: Arc<AtomicBool>) -> Self {
Self {
running,
inner: std::sync::RwLock::new(None),
session_map: Arc::new(RwLock::new(HashMap::new())),
}
}
fn activate(&self, client: Arc<HonchoClient>, workspace_id: String) {
*self.inner.write().unwrap() = Some(HonchoInner { client, workspace_id });
}
fn deactivate(&self) {
*self.inner.write().unwrap() = None;
// Clear the session map so a fresh start builds a clean mapping.
// (The Honcho sessions themselves are not deleted — they keep accumulating.)
// Use try_write: if somehow a query is in flight we skip the clear and
// it will be corrected on the next restart anyway.
if let Ok(mut map) = self.session_map.try_write() {
map.clear();
}
}
fn inner(&self) -> Option<HonchoInner> {
self.inner.read().unwrap().clone()
}
}
#[async_trait]
impl Memory for HonchoMemory {
fn id(&self) -> &str { PLUGIN_ID }
fn is_available(&self) -> bool {
self.running.load(Ordering::Relaxed)
&& self.inner.read().unwrap().is_some()
}
async fn query_context(&self, session_id: i64, user_message: &str) -> Option<String> {
// Truncate to at most 120 *characters* (not bytes) to avoid a panic on
// multi-byte UTF-8 codepoints (e.g. 'è' spans two bytes, so a fixed
// byte-index like 120 can land in the middle of it).
let preview_end = user_message
.char_indices()
.nth(120) // byte offset of the 121st char = end of first 120 chars
.map(|(i, _)| i)
.unwrap_or(user_message.len());
trace!(
session_id,
msg_preview = &user_message[..preview_end],
"honcho: query_context invoked"
);
let HonchoInner { client, workspace_id } = self.inner()?;
// ── Strategy: peer_context (global) + session_context (current session) ──
//
// peer_context with search_query searches conclusions derived from ALL past
// sessions — this is the only way cross-session references ("remember when
// we talked about X last week?") can be resolved automatically.
//
// session_context is kept as a secondary call for the current session only,
// to surface conclusions/summaries specific to the ongoing conversation that
// may not yet be reflected in the peer-level representation.
//
// Two embeddings per turn is the cost; the benefit is that the LLM always
// has both global long-term memory AND current-session context.
//
// NOTE: session_context is skipped on the first turn (404 — session not yet
// created in Honcho by the write path) to avoid a wasted HTTP round-trip.
// ── 1. Global peer context (cross-session, semantic search) ──────────────
trace!(session_id, "honcho: querying peer_context (global, with search_query)");
let peer_ctx = match client.peer_context(
&workspace_id,
PEER_USER,
&PeerRepresentationGet {
search_query: Some(user_message.to_string()),
..Default::default()
},
).await {
Ok(ctx) => {
trace!(session_id, raw_json = %ctx, "honcho: peer_context raw response");
let f = format_context(ctx);
debug!(
"honcho: peer_context (global) for session {session_id} ({} chars)",
f.as_deref().map_or(0, |s| s.len())
);
f
}
Err(e) => {
warn!("honcho: peer_context failed: {e}");
None
}
};
// ── 2. Current-session context (session-scoped, no extra embedding) ──────
//
// session_context is a GET with search_query but Honcho re-uses the same
// embedding vector already computed for the peer_context call above
// (server-side caching). No additional LM Studio call in practice.
let deterministic_id = format!("{workspace_id}-{session_id}");
trace!(session_id, honcho_session_id = %deterministic_id, "honcho: querying session_context");
let session_ctx = match client.session_context(
&workspace_id,
&deterministic_id,
Some(CONTEXT_TOKENS),
Some(user_message),
).await {
Ok(ctx) => {
trace!(session_id, raw_json = %ctx, "honcho: session_context raw response");
let f = format_context(ctx);
debug!(
"honcho: session_context for session {session_id} ({} chars)",
f.as_deref().map_or(0, |s| s.len())
);
f
}
Err(honcho_client::error::HonchoError::Http { status: 404, .. }) => {
debug!("honcho: session {deterministic_id} not yet in Honcho (first turn) — skipping session_context");
None
}
Err(e) => {
warn!("honcho: session_context failed for session {session_id}: {e}");
None
}
};
// ── 3. Merge: peer (global) first, then session-specific ─────────────────
let merged = match (peer_ctx, session_ctx) {
(Some(p), Some(s)) if p != s => {
trace!(session_id, "honcho: merging peer + session context");
Some(format!("{p}\n\n{s}"))
}
(Some(p), _) => Some(p),
(_, Some(s)) => Some(s),
(None, None) => None,
};
if let Some(ref text) = merged {
trace!(session_id, injected = %text, "honcho: context injected into system prompt");
} else {
trace!(session_id, "honcho: no context to inject");
}
merged
}
fn tools(&self) -> Vec<Arc<dyn Tool>> {
match self.inner() {
Some(HonchoInner { client, workspace_id }) => vec![
Arc::new(MemoryQueryTool {
client: Arc::clone(&client),
workspace_id: workspace_id.clone(),
}),
Arc::new(HonchoProfileTool {
client: Arc::clone(&client),
workspace_id: workspace_id.clone(),
}),
Arc::new(HonchoSearchTool {
client: Arc::clone(&client),
workspace_id: workspace_id.clone(),
}),
Arc::new(HonchoContextTool {
client: Arc::clone(&client),
workspace_id: workspace_id.clone(),
}),
Arc::new(HonchoConcludeTool { client, workspace_id }),
],
None => vec![],
}
}
}
// ── MemoryQueryTool ───────────────────────────────────────────────────────────
/// LLM-callable tool that queries Honcho's Dialectic API.
///
/// The official Honcho documentation explicitly recommends exposing `peer.chat()`
/// as a tool for agents: the LLM decides on its own when extra memory context
/// is needed and calls this tool with a natural-language question.
///
/// Uses `tokio::task::block_in_place` to bridge the sync `Tool::execute` interface
/// with the async HTTP call, safely running inside the existing Tokio runtime.
struct MemoryQueryTool {
client: Arc<HonchoClient>,
workspace_id: String,
}
impl Tool for MemoryQueryTool {
fn name(&self) -> &str { "memory_query" }
fn description(&self) -> &str {
"Query long-term memory about the user using natural language. \
Ask anything about the user's preferences, past conversations, \
or known facts. Returns a synthesized answer from Honcho's memory. \
Use when you need specific information about the user that is not \
already present in the current conversation."
}
fn parameters_schema(&self) -> Value {
json!({
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Natural language question about the user. \
E.g. 'What programming languages does the user prefer?'"
}
},
"required": ["query"]
})
}
fn category(&self) -> ToolCategory {
ToolCategory::Introspection
}
fn execute(&self, args: Value) -> anyhow::Result<String> {
let query = args["query"]
.as_str()
.ok_or_else(|| anyhow::anyhow!("memory_query: missing 'query' argument"))?
.to_string();
let client = Arc::clone(&self.client);
let workspace_id = self.workspace_id.clone();
// Bridge sync Tool::execute → async HTTP call.
// block_in_place yields the thread to the Tokio scheduler while the
// nested block_on drives the future to completion — safe inside an
// existing multi-thread Tokio runtime.
tokio::task::block_in_place(|| {
tokio::runtime::Handle::current().block_on(async move {
let opts = honcho_client::models::DialecticOptions {
query,
session_id: None,
target: None,
stream: Some(false),
reasoning_level: Some("low".to_string()),
};
let response = client
.peer_chat(&workspace_id, PEER_USER, &opts)
.await
.map_err(|e| anyhow::anyhow!("memory_query: {e}"))?;
// The Dialectic endpoint returns a JSON object.
// Try known content fields; fall back to pretty-printed JSON.
let text = response.get("content")
.or_else(|| response.get("response"))
.or_else(|| response.get("message"))
.and_then(|v| v.as_str())
.map(str::to_string)
.unwrap_or_else(|| {
serde_json::to_string_pretty(&response)
.unwrap_or_else(|_| response.to_string())
});
Ok(text)
})
})
}
}
/// Bridge a synchronous `Tool::execute` to an async Honcho call.
///
/// `block_in_place` yields the worker thread back to the Tokio scheduler while
/// the nested `block_on` drives the future to completion — safe inside the
/// existing multi-thread runtime without spawning a new thread. Shared by all
/// Honcho tools.
fn run_blocking<F, T>(fut: F) -> T
where
F: std::future::Future<Output = T>,
{
tokio::task::block_in_place(|| tokio::runtime::Handle::current().block_on(fut))
}
// ── HonchoProfileTool ─────────────────────────────────────────────────────────
/// Reads or overwrites the user's *peer card* — a curated list of key facts
/// (name, role, preferences, communication style) maintained by Honcho.
struct HonchoProfileTool {
client: Arc<HonchoClient>,
workspace_id: String,
}
impl Tool for HonchoProfileTool {
fn name(&self) -> &str { "honcho_profile" }
fn description(&self) -> &str {
"Read or update the peer card for the user in Honcho — a curated list of \
key facts (name, role, preferences, communication style). Omit `card` to \
read the current card; pass `card` as a list of fact strings to overwrite it."
}
fn parameters_schema(&self) -> Value {
json!({
"type": "object",
"properties": {
"card": {
"type": "array",
"items": { "type": "string" },
"description": "New peer card as a list of fact strings. \
Omit to read the current card."
}
}
})
}
fn category(&self) -> ToolCategory { ToolCategory::Introspection }
fn execute(&self, args: Value) -> anyhow::Result<String> {
let client = Arc::clone(&self.client);
let workspace_id = self.workspace_id.clone();
let card_update = args.get("card").and_then(|v| v.as_array()).cloned();
run_blocking(async move {
match card_update {
Some(facts) => {
client
.set_peer_card(&workspace_id, PEER_USER, None, json!(facts))
.await
.map_err(|e| anyhow::anyhow!("honcho_profile: {e}"))?;
Ok(format!("Peer card updated ({} facts).", facts.len()))
}
None => {
let card = client
.get_peer_card(&workspace_id, PEER_USER, None)
.await
.map_err(|e| anyhow::anyhow!("honcho_profile: {e}"))?;
Ok(serde_json::to_string_pretty(&card)
.unwrap_or_else(|_| card.to_string()))
}
}
})
}
}
// ── HonchoSearchTool ──────────────────────────────────────────────────────────
/// Semantic search over the conclusions Honcho has derived about the user.
/// Returns raw ranked excerpts — no LLM synthesis — including their IDs so the
/// model can later delete a specific one via `honcho_conclude`.
struct HonchoSearchTool {
client: Arc<HonchoClient>,
workspace_id: String,
}
impl Tool for HonchoSearchTool {
fn name(&self) -> &str { "honcho_search" }
fn description(&self) -> &str {
"Semantic search over facts Honcho has derived about the user. Returns raw \
excerpts ranked by relevance to `query` — no LLM synthesis. Faster and \
cheaper than memory_query. Each fact includes its id (usable with \
honcho_conclude) when available."
}
fn parameters_schema(&self) -> Value {
json!({
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "What to search for in Honcho's memory about the user."
}
},
"required": ["query"]
})
}
fn category(&self) -> ToolCategory { ToolCategory::Introspection }
fn execute(&self, args: Value) -> anyhow::Result<String> {
let query = args["query"]
.as_str()
.ok_or_else(|| anyhow::anyhow!("honcho_search: missing 'query' argument"))?
.to_string();
let client = Arc::clone(&self.client);
let workspace_id = self.workspace_id.clone();
// Honcho's `conclusions/query` endpoint requires observer/observed
// filters; the proven path (shared with the read-path) is `peer_context`
// with a `search_query`, which ranks the user's conclusions by relevance.
run_blocking(async move {
let ctx = client
.peer_context(
&workspace_id,
PEER_USER,
&PeerRepresentationGet {
search_query: Some(query),
search_top_k: Some(10),
..Default::default()
},
)
.await
.map_err(|e| anyhow::anyhow!("honcho_search: {e}"))?;
Ok(format_conclusions(&ctx)
.unwrap_or_else(|| "No relevant context found.".to_string()))
})
}
}
/// Formats the `conclusions` array of a Honcho `peer_context` response as a
/// ranked bullet list, prefixing each fact with its `id` when present so the
/// model can target it via `honcho_conclude`. Returns `None` when empty.
fn format_conclusions(ctx: &Value) -> Option<String> {
let conclusions = ctx.get("conclusions")?.as_array()?;
let lines: Vec<String> = conclusions
.iter()
.filter_map(|c| {
let content = c.get("content").and_then(|v| v.as_str())?;
match c.get("id").and_then(|v| v.as_str()) {
Some(id) => Some(format!("- [{id}] {content}")),
None => Some(format!("- {content}")),
}
})
.collect();
(!lines.is_empty()).then(|| lines.join("\n"))
}
// ── HonchoContextTool ─────────────────────────────────────────────────────────
/// Retrieves a full context snapshot for the user (conclusions, card, summary)
/// from Honcho's `peer_context` endpoint. No LLM synthesis.
struct HonchoContextTool {
client: Arc<HonchoClient>,
workspace_id: String,
}
impl Tool for HonchoContextTool {
fn name(&self) -> &str { "honcho_context" }
fn description(&self) -> &str {
"Retrieve a full context snapshot for the user from Honcho — conclusions, \
peer card, and conversation summary. No LLM synthesis (cheaper than \
memory_query). Pass an optional `query` to focus the semantic search."
}
fn parameters_schema(&self) -> Value {
json!({
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Optional focus query to filter context. \
Omit for a full context snapshot."
}
}
})
}
fn category(&self) -> ToolCategory { ToolCategory::Introspection }
fn execute(&self, args: Value) -> anyhow::Result<String> {
let client = Arc::clone(&self.client);
let workspace_id = self.workspace_id.clone();
let search_query = args.get("query").and_then(|v| v.as_str()).map(str::to_string);
run_blocking(async move {
let ctx = client
.peer_context(
&workspace_id,
PEER_USER,
&PeerRepresentationGet { search_query, ..Default::default() },
)
.await
.map_err(|e| anyhow::anyhow!("honcho_context: {e}"))?;
Ok(format_context(ctx).unwrap_or_else(|| "No context available yet.".to_string()))
})
}
}
// ── HonchoConcludeTool ────────────────────────────────────────────────────────
/// Writes or deletes a persistent fact (conclusion) about the user in Honcho's
/// memory. Exactly one of `conclusion` or `delete_id` must be supplied.
///
/// Written as `observer = user`, `observed = user` — matching this plugin's peer
/// model, where the `user` peer has `observe_me = true` and therefore holds the
/// self-knowledge that the read-path (`peer_context("user")`) reads back. Using
/// any other observer slot would store facts the read-path never sees.
struct HonchoConcludeTool {
client: Arc<HonchoClient>,
workspace_id: String,
}
impl Tool for HonchoConcludeTool {
fn name(&self) -> &str { "honcho_conclude" }
fn description(&self) -> &str {
"Write or delete a persistent fact about the user in Honcho's memory. \
Pass `conclusion` to create a new fact; pass `delete_id` (from \
honcho_search) to remove one. Exactly one field is required."
}
fn parameters_schema(&self) -> Value {
json!({
"type": "object",
"properties": {
"conclusion": {
"type": "string",
"description": "A factual statement about the user to persist."
},
"delete_id": {
"type": "string",
"description": "Conclusion id to delete (e.g. for PII removal)."
}
}
})
}
fn category(&self) -> ToolCategory { ToolCategory::Introspection }
fn execute(&self, args: Value) -> anyhow::Result<String> {
let conclusion = args.get("conclusion").and_then(|v| v.as_str())
.map(str::trim).filter(|s| !s.is_empty()).map(str::to_string);
let delete_id = args.get("delete_id").and_then(|v| v.as_str())
.map(str::trim).filter(|s| !s.is_empty()).map(str::to_string);
// Exactly one must be present (XOR).
if conclusion.is_some() == delete_id.is_some() {
anyhow::bail!("honcho_conclude: provide exactly one of 'conclusion' or 'delete_id'");
}
let client = Arc::clone(&self.client);
let workspace_id = self.workspace_id.clone();
run_blocking(async move {
if let Some(id) = delete_id {
client
.delete_conclusion(&workspace_id, &id)
.await
.map_err(|e| anyhow::anyhow!("honcho_conclude: {e}"))?;
Ok(format!("Conclusion {id} deleted."))
} else {
let content = conclusion.unwrap();
client
.add_conclusion(
&workspace_id,
ConclusionCreate {
content: content.clone(),
observer_id: PEER_USER.to_string(),
observed_id: PEER_USER.to_string(),
session_id: None,
},
)
.await
.map_err(|e| anyhow::anyhow!("honcho_conclude: {e}"))?;
Ok(format!("Conclusion saved: {content}"))
}
})
}
}
/// Extracts a human-readable string from the raw Honcho `session_context` /
/// `peer_context` JSON response.
///
/// Returns `None` if there is nothing *new* to inject — i.e. when the response
/// contains only raw messages (which are already present in the LLM's own
/// conversation history) or is otherwise empty.
///
/// Only synthesised knowledge is injected:
/// - `conclusions` — facts about the user derived by Honcho's background processing
/// - `summary` — a narrative summary produced by Honcho
///
/// Raw `messages` are intentionally ignored: they are redundant with the local
/// `chat_history` already sent to the LLM and would waste context tokens.
fn format_context(ctx: Value) -> Option<String> {
let mut parts: Vec<String> = Vec::new();
if let Some(conclusions) = ctx.get("conclusions").and_then(|v| v.as_array()) {
let facts: Vec<&str> = conclusions
.iter()
.filter_map(|c| c.get("content").and_then(|v| v.as_str()))
.collect();
if !facts.is_empty() {
parts.push(format!("Known facts about the user:\n- {}", facts.join("\n- ")));
}
}
if let Some(summary) = ctx.get("summary").and_then(|v| v.as_str()) {
if !summary.trim().is_empty() {
parts.push(format!("Conversation summary:\n{summary}"));
}
}
if parts.is_empty() {
return None;
}
Some(format!(
"--- Honcho memory context ---\n{}\n--- end of memory context ---",
parts.join("\n\n")
))
}
// ── HonchoPlugin ──────────────────────────────────────────────────────────────
pub struct HonchoPlugin {
config: Mutex<Option<HonchoConfig>>,
running: Arc<AtomicBool>,
cancel: Mutex<Option<CancellationToken>>,
handle: Mutex<Option<JoinHandle<()>>>,
/// Shared Memory implementation — created once, updated on start/stop.
honcho_memory: Arc<HonchoMemory>,
}
impl HonchoPlugin {
pub fn new() -> Self {
let running = Arc::new(AtomicBool::new(false));
let honcho_memory = Arc::new(HonchoMemory::new(Arc::clone(&running)));
Self {
config: Mutex::new(None),
running,
cancel: Mutex::new(None),
handle: Mutex::new(None),
honcho_memory,
}
}
}
// ── Plugin trait ──────────────────────────────────────────────────────────────
#[async_trait]
impl core_api::plugin::Plugin for HonchoPlugin {
fn id(&self) -> &str { PLUGIN_ID }
fn name(&self) -> &str { "Honcho Memory" }
fn description(&self) -> &str {
"Streams completed interactive chat turns to Honcho for long-term memory \
and injects retrieved context into every LLM turn."
}
fn is_running(&self) -> bool { self.running.load(Ordering::Relaxed) }
fn memory(&self) -> Option<Arc<dyn Memory>> {
Some(Arc::clone(&self.honcho_memory) as Arc<dyn Memory>)
}
fn config_schema(&self) -> Value {
json!({
"type": "object",
"properties": {
"base_url": {
"type": "string",
"title": "Base URL",
"description": "Honcho server URL (e.g. http://localhost:8000)",
"default": "http://localhost:8000"
},
"api_key": {
"type": "string",
"title": "API Key",
"description": "Honcho API key (leave empty for local/unauthenticated instances)",
"sensitive": true
},
"workspace_id": {
"type": "string",
"title": "Workspace ID",
"description": "Honcho workspace identifier for this agent instance",
"default": "personal-agent"
}
},
"required": ["base_url", "workspace_id"]
})
}
fn as_any(&self) -> &dyn std::any::Any { self }
fn as_arc_any(self: Arc<Self>) -> Arc<dyn std::any::Any + Send + Sync> { self }
async fn reload(&self, enabled: bool, config: Value, ctx: PluginContext) -> Result<()> {
let new_cfg = HonchoConfig {
base_url: config["base_url"].as_str().unwrap_or("http://localhost:8000").to_string(),
api_key: config["api_key"].as_str().unwrap_or("").to_string(),
workspace_id: config["workspace_id"].as_str().unwrap_or("personal-agent").to_string(),
};
let old_cfg = self.config.lock().await.clone();
let is_running = self.is_running();
let cfg_changed = old_cfg.as_ref().map_or(true, |old| old != &new_cfg);
match (enabled, is_running) {
(true, false) => {
anyhow::ensure!(
!new_cfg.base_url.is_empty(),
"honcho: cannot start — `base_url` is missing from config"
);
*self.config.lock().await = Some(new_cfg);
self.start(ctx).await?;
}
(false, true) => {
self.stop().await?;
*self.config.lock().await = None;
}
(true, true) if cfg_changed => {
info!("honcho: config changed — restarting");
self.stop().await?;
*self.config.lock().await = Some(new_cfg);
self.start(ctx).await?;
}
_ => {}
}
Ok(())
}
async fn start(&self, ctx: PluginContext) -> Result<()> {
if self.running.load(Ordering::Relaxed) {
return Ok(());
}
let cfg = self.config.lock().await.clone()
.ok_or_else(|| anyhow::anyhow!("honcho: config not set"))?;
let client = Arc::new(HonchoClient::with_base_url(&cfg.base_url, &cfg.api_key));
let workspace_id = cfg.workspace_id.clone();
self.honcho_memory.activate(Arc::clone(&client), workspace_id.clone());
let session_map = Arc::clone(&self.honcho_memory.session_map);
let mut rx = ctx.event_bus.subscribe();
let cancel = CancellationToken::new();
let cancel_clone = cancel.clone();
let running = Arc::clone(&self.running);
self.running.store(true, Ordering::Relaxed);
let task = tokio::spawn(async move {
ensure_workspace_ready(&client, &workspace_id).await;
info!("honcho plugin: listener started (workspace={workspace_id})");
loop {
tokio::select! {
_ = cancel_clone.cancelled() => {
info!("honcho plugin: cancelled");
break;
}
result = rx.recv() => {
match result {
Ok(BusEvent::UserMessage(event)) |
Ok(BusEvent::AssistantResponse(event)) => {
handle_event(
&client, &workspace_id, event, &session_map,
).await;
}
Ok(BusEvent::CompactionDone(_)) => {}
Err(RecvError::Lagged(n)) => {
warn!(
"honcho plugin: event bus lagged by {n} events \
— some turns missed"
);
}
Err(RecvError::Closed) => {
info!("honcho plugin: event bus closed");
break;
}
}
}
}
}
running.store(false, Ordering::Relaxed);
});
*self.cancel.lock().await = Some(cancel);
*self.handle.lock().await = Some(task);
Ok(())
}
async fn stop(&self) -> Result<()> {
if let Some(token) = self.cancel.lock().await.take() {
token.cancel();
}
if let Some(h) = self.handle.lock().await.take() {
let _ = h.await;
}
self.running.store(false, Ordering::Relaxed);
self.honcho_memory.deactivate();
Ok(())
}
}
// ── Internal helpers ──────────────────────────────────────────────────────────
async fn ensure_workspace_ready(client: &HonchoClient, workspace_id: &str) {
match client.create_workspace(&WorkspaceCreate {
id: workspace_id.to_string(),
metadata: None,
configuration: None,
}).await {
Ok(_) => info!("honcho: workspace '{workspace_id}' ready"),
Err(e) => warn!("honcho: workspace '{workspace_id}' create/check failed: {e}"),
}
for peer_id in [PEER_USER, PEER_ASSISTANT] {
match client.create_peer(workspace_id, &PeerCreate {
id: peer_id.to_string(),
metadata: None,
configuration: None,
}).await {
Ok(_) => debug!("honcho: peer '{peer_id}' ready"),
Err(e) => debug!("honcho: peer '{peer_id}' create/check: {e} (likely already exists)"),
}
}
}
async fn handle_event(
client: &HonchoClient,
workspace_id: &str,
event: ChatEvent,
session_map: &Arc<RwLock<HashMap<i64, String>>>,
) {
if !event.is_interactive || event.is_ephemeral || event.is_synthetic {
return;
}
let peer_id = match event.role {
ChatEventRole::User => PEER_USER,
ChatEventRole::Assistant => PEER_ASSISTANT,
ChatEventRole::Agent => return,
};
if event.content.is_empty() {
return;
}
let honcho_session_id = match get_or_create_session(
client, workspace_id, event.session_id, session_map,
).await {
Ok(id) => id,
Err(e) => {
warn!(
"honcho: failed to get/create session for local session {}: {e}",
event.session_id
);
return;
}
};
let msg = MessageCreate {
content: event.content,
peer_id: peer_id.to_string(),
metadata: Some(json!({
"local_message_id": event.message_id,
"local_stack_id": event.stack_id,
})),
configuration: None,
created_at: Some(event.created_at.to_rfc3339()),
};
match client.add_message(workspace_id, &honcho_session_id, msg).await {
Ok(_) => debug!(
"honcho: message sent (session={honcho_session_id}, peer={peer_id})"
),
Err(e) => warn!(
"honcho: add_message failed (session={honcho_session_id}): {e}"
),
}
}
async fn get_or_create_session(
client: &HonchoClient,
workspace_id: &str,
local_session_id: i64,
session_map: &Arc<RwLock<HashMap<i64, String>>>,
) -> Result<String> {
{
let map = session_map.read().await;
if let Some(id) = map.get(&local_session_id) {
return Ok(id.clone());
}
}
let mut peers = HashMap::new();
peers.insert(PEER_USER.to_string(), SessionPeerConfig {
observe_others: None,
observe_me: Some(true),
});
peers.insert(PEER_ASSISTANT.to_string(), SessionPeerConfig {
observe_me: Some(true),
observe_others: None,
});
// Use a deterministic id so the mapping survives plugin restarts without
// needing a DB column — same local_session_id always maps to the same
// Honcho session. Honcho v3 requires `id` in the creation body.
let honcho_id = format!("{workspace_id}-{local_session_id}");
let session = client.create_session(workspace_id, &SessionCreate {
id: Some(honcho_id),
metadata: Some(json!({ "local_session_id": local_session_id })),
peers: Some(peers),
configuration: None,
}).await?;
info!(
"honcho: created session {} for local session {local_session_id}",
session.id
);
let mut map = session_map.write().await;
map.entry(local_session_id).or_insert(session.id.clone());
Ok(map[&local_session_id].clone())
}