mirror of
https://github.com/tinyhumansai/openhuman.git
synced 2026-07-27 21:08:00 +00:00
feat(agent): sub-agents, reasoning→agentic routing, layered context pipeline (#474)
* Enhance agent architecture with sub-agent support and memory optimizations - Refactored the `Agent` struct to use `Arc` for shared ownership of the provider, tools, and tool specifications, enabling efficient memory management and concurrent access. - Introduced a `NullMemoryLoader` to optimize memory usage for sub-agents, allowing them to operate without incurring the cost of memory recall. - Added new methods in the `Agent` implementation to facilitate sharing of the provider, tools, and tool specifications with sub-agents, enhancing their operational efficiency. - Implemented a new `SystemPromptBuilder` method for constructing prompts specifically for sub-agents, ensuring they receive tailored context while minimizing unnecessary information. - Established a framework for loading custom agent definitions from TOML files, allowing for dynamic agent configuration and specialization. - Introduced a `ForkContext` to support efficient sub-agent execution in fork mode, leveraging shared resources for improved performance and reduced token usage. * Enhance agent definition management and sub-agent functionality - Introduced a global `AgentDefinitionRegistry` to manage built-in and custom agent definitions from TOML files, ensuring idempotent initialization. - Added new RPC handlers for listing, fetching, and reloading agent definitions, improving the flexibility of agent management. - Refactored the `Agent` struct to streamline sub-agent execution, including enhancements to the task execution flow and context handling. - Updated the orchestrator configuration to support fork mode for sub-agents, optimizing resource usage and performance. - Improved error handling and logging for agent definition loading and initialization processes, enhancing system reliability. * Add end-to-end test for sub-agent spawning and response integration - Implemented a new asynchronous test to validate the full path of a parent agent issuing a `spawn_subagent` tool call. - The test ensures that the sub-agent's output is correctly folded into the parent's response, verifying the interaction between the parent agent and the sub-agent. - Enhanced the `AgentDefinitionRegistry` to support global initialization of built-in agents, ensuring consistent behavior across tests. - Updated the handling of tool calls and memory configuration to facilitate the new test scenario, improving overall test coverage for agent interactions. * Enhance agent tool filtering with category support - Introduced a new `category_filter` in `AgentDefinition` to restrict tool visibility based on their category (System or Skill). - Updated the `from_archetype` function to apply the category filter for the `SkillsAgent` archetype. - Modified `SubagentRunOptions` to include a `category_filter_override` for dynamic filtering during sub-agent execution. - Enhanced the `filter_tool_indices` function to incorporate category filtering logic, ensuring tools are correctly filtered based on their defined categories. - Updated relevant tests to validate the new category filtering functionality, improving overall test coverage for agent interactions. * Implement layered context reduction pipeline for agent - Introduced a new `context_pipeline` module to manage a layered context reduction strategy, enhancing memory efficiency during agent interactions. - Added stages for tool-result budgeting, history trimming, microcompaction, autocompaction, and session memory extraction, each with specific triggers and cache implications. - Updated the `Agent` struct to include a `context_pipeline` field, ensuring state persistence across turns. - Enhanced the `AgentBuilder` to initialize the context pipeline by default. - Implemented tests to validate the functionality and stability of the context pipeline, ensuring consistent behavior across agent sessions. - Refactored relevant components to integrate the new context management features, improving overall agent performance and memory handling. * Enhance agent context pipeline with tool result budgeting and microcompaction - Renamed variable for clarity in tool execution result handling. - Implemented a new stage in the context pipeline to apply a byte budget to tool results, ensuring efficient memory usage. - Added logging for budget application, including details on original and final byte sizes. - Integrated microcompaction stages before tool calls to manage history and reduce memory footprint, with appropriate logging for outcomes. - Updated the agent's session memory management to track turn counts, facilitating better resource handling across iterations. * Refactor agent context pipeline for session memory extraction and tool call management - Simplified method calls in the `Agent` struct for clarity and efficiency. - Enhanced session memory extraction logic to spawn a background archivist sub-agent when thresholds are met. - Improved context pipeline handling for tool call recording and usage tracking. - Updated documentation and comments for better understanding of session memory extraction process. - Refactored microcompact function for cleaner code structure and readability. * refactor(agent): split agent.rs into focused submodules - Convert agent.rs (1988 lines) into agent/ folder with six files: * types.rs — Agent + AgentBuilder struct defs * builder.rs — AgentBuilder fluent API + Agent::from_config factory * turn.rs — turn lifecycle, tool dispatch, context pipeline wiring * runtime.rs — public accessors, run_single/run_interactive, helpers * tests.rs — integration tests with shared fakes * mod.rs — glue + top-level `run` convenience function - Drop misc external inspiration references from doc comments in the context_pipeline module and fork_context — the files now stand on their own design language. * fix(agent): address review comments on sub-agent + context pipeline PR Inline comment fixes: - definition.rs: YAML/TOML inconsistency — module doc, PromptSource, source bookkeeping, and load() all now uniformly document the TOML format. - subagent_runner.rs: render_subagent_system_prompt previously only appended PromptSource::Inline bodies, silently dropping PromptSource::File content. Thread the preloaded archetype_body through as an explicit &str parameter so both source variants render. Drops the unused SystemPromptBuilder + tools_for_prompt wiring while we're here. - prompt.rs: remove DateTimeSection from SystemPromptBuilder::for_subagent. Local::now() would make the sub-agent system prompt change per call and break KV-prefix cache stability. Document the invariant. Nitpick fixes: - agent/turn.rs: drop the no-op mark_extraction_started() call — the immediately-following mark_extraction_complete() clears the in-flight flag anyway. - context_pipeline/pipeline.rs: call guard.record_compaction_success() on microcompact success so a prior streak of autocompaction failures doesn't leave the circuit breaker tripped after a successful reduction. - context_pipeline/tool_result_budget.rs: remove the unnecessary out.clone() in the truncation return — capture final_bytes first, then move out. - definition_loader.rs: replace brittle reg.len() == 10 with assert!(reg.len() > 1) plus the existing targeted .get() checks. - executor.rs: tracing::warn! on unknown sandbox override values so typos surface during development; explicitly accept "none" and empty string as valid defaults. - fork_context.rs: add parent_context_visible_inside_scope test mirroring fork_context_visible_inside_scope, with minimal stub Provider/Memory impls so the test stays self-contained. - schemas.rs: drop redundant serde_json::to_value(serde_json::json!(...)) wrapping in handle_list_definitions + handle_get_definition. - event_bus/events.rs: add SubagentSpawned/SubagentCompleted/SubagentFailed cases to all_variants_have_correct_domain. - tools/ops.rs: add all_tools_includes_spawn_subagent regression test. - tools/spawn_subagent.rs: sort/dedup the known skill list in place instead of cloning into a second vec. Tests: 2316 passed / 0 failed (up from 2314; two new tests added). fmt + clippy clean on all touched files. * udpate prompts * Enhance AgentBuilder and runtime with event context and interactive CLI improvements - Added `event_context` method to `AgentBuilder` for setting `session_id` and `channel` for `DomainEvent`s, improving event tagging and correlation. - Updated `run_interactive` method in `Agent` to dispatch messages through `run_single`, ensuring consistent lifecycle event handling and error sanitization for interactive turns. * Optimize configuration handling in AgentBuilder by lazily creating Arc for full config in reflection hook. This change reduces unnecessary cloning when learning is enabled, improving performance. * Add fork-mode test for sub-agent spawning in agent - Introduced a new test, `turn_dispatches_spawn_subagent_in_fork_mode`, to validate the behavior of the agent when spawning a sub-agent in fork mode. - The test ensures that the parent agent correctly processes the sub-agent's output and maintains the expected response sequence. - Enhanced the test setup with a mock provider and memory configuration to simulate the agent's environment effectively. * Refactor sync RPC handling in skills to treat missing onSync as no-op - Updated the `handle_sync` function to log a debug message and return a no-op response when a skill does not implement the `onSync` handler, preventing unnecessary RPC errors for skills that do not require periodic syncs. - This change improves logging clarity and reduces error noise in logs and dashboards for skills that are not designed to handle sync operations.
This commit is contained in:
Steven Enamakel
@@ -836,6 +836,19 @@ pub async fn bootstrap_skill_runtime() {
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// from both jsonrpc and repl paths) cannot double-subscribe.
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register_domain_subscribers();
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// --- Sub-agent definition registry bootstrap ---
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// Loads built-in archetype definitions plus any custom TOML files
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// under `<workspace>/agents/*.toml`. Idempotent — safe to call from
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// both jsonrpc and repl paths.
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if let Err(err) = crate::openhuman::agent::harness::AgentDefinitionRegistry::init_global(
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&base_dir.join("workspace"),
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) {
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log::warn!(
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"[runtime] AgentDefinitionRegistry::init_global failed: {err} — \
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spawn_subagent will be unavailable until restart"
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);
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}
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// --- Socket manager bootstrap ---
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let socket_mgr = Arc::new(SocketManager::new());
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set_global_socket_manager(socket_mgr.clone());
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File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,431 @@
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//! `AgentBuilder` fluent API and the `Agent::from_config` factory.
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//!
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//! Everything in this file is about *constructing* an `Agent` — the
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//! builder setters, the `build()` validator, and the `from_config()`
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//! factory that wires together the real provider / memory / tool
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//! registry from a loaded [`Config`]. Per-turn behaviour lives in
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//! [`super::turn`]; accessors and run-helpers live in [`super::runtime`].
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use super::types::{Agent, AgentBuilder};
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use crate::openhuman::agent::context_pipeline::ContextPipeline;
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use crate::openhuman::agent::dispatcher::{
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NativeToolDispatcher, ToolDispatcher, XmlToolDispatcher,
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};
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use crate::openhuman::agent::host_runtime;
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use crate::openhuman::agent::memory_loader::{DefaultMemoryLoader, MemoryLoader};
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use crate::openhuman::agent::prompt::SystemPromptBuilder;
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use crate::openhuman::config::Config;
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use crate::openhuman::memory::{self, Memory};
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use crate::openhuman::providers::{self, Provider};
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use crate::openhuman::security::SecurityPolicy;
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use crate::openhuman::tools::{self, Tool, ToolSpec};
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use anyhow::Result;
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use std::sync::Arc;
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impl AgentBuilder {
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/// Creates a new `AgentBuilder` with default values.
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pub fn new() -> Self {
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Self {
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provider: None,
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tools: None,
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memory: None,
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prompt_builder: None,
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tool_dispatcher: None,
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memory_loader: None,
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config: None,
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model_name: None,
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temperature: None,
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workspace_dir: None,
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identity_config: None,
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skills: None,
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auto_save: None,
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classification_config: None,
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available_hints: None,
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post_turn_hooks: Vec::new(),
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learning_enabled: false,
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event_session_id: None,
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event_channel: None,
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}
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}
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/// Sets the AI provider for the agent.
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///
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/// Accepts a `Box<dyn Provider>` for backward compatibility but stores
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/// the provider as an `Arc` internally so sub-agents spawned from this
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/// agent (via `spawn_subagent`) can share the same instance.
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pub fn provider(mut self, provider: Box<dyn Provider>) -> Self {
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self.provider = Some(Arc::from(provider));
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self
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}
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/// Sets the AI provider from an existing `Arc`. Use this when sharing
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/// a provider instance across multiple agents.
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pub fn provider_arc(mut self, provider: Arc<dyn Provider>) -> Self {
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self.provider = Some(provider);
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self
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}
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/// Sets the available tools for the agent.
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pub fn tools(mut self, tools: Vec<Box<dyn Tool>>) -> Self {
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self.tools = Some(tools);
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self
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}
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/// Sets the memory system for the agent.
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pub fn memory(mut self, memory: Arc<dyn Memory>) -> Self {
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self.memory = Some(memory);
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self
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}
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/// Sets the system prompt builder for the agent.
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pub fn prompt_builder(mut self, prompt_builder: SystemPromptBuilder) -> Self {
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self.prompt_builder = Some(prompt_builder);
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self
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}
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/// Sets the tool dispatcher for the agent.
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pub fn tool_dispatcher(mut self, tool_dispatcher: Box<dyn ToolDispatcher>) -> Self {
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self.tool_dispatcher = Some(tool_dispatcher);
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self
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}
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/// Sets the memory loader for the agent.
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pub fn memory_loader(mut self, memory_loader: Box<dyn MemoryLoader>) -> Self {
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self.memory_loader = Some(memory_loader);
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self
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}
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/// Sets the agent configuration.
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pub fn config(mut self, config: crate::openhuman::config::AgentConfig) -> Self {
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self.config = Some(config);
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self
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}
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/// Sets the model name to use for chat requests.
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pub fn model_name(mut self, model_name: String) -> Self {
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self.model_name = Some(model_name);
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self
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}
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/// Sets the temperature for chat requests.
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pub fn temperature(mut self, temperature: f64) -> Self {
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self.temperature = Some(temperature);
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self
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}
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/// Sets the workspace directory for the agent.
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pub fn workspace_dir(mut self, workspace_dir: std::path::PathBuf) -> Self {
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self.workspace_dir = Some(workspace_dir);
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self
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}
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/// Sets the identity configuration for the agent.
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pub fn identity_config(
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mut self,
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identity_config: crate::openhuman::config::IdentityConfig,
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) -> Self {
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self.identity_config = Some(identity_config);
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self
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}
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/// Sets the skills available to the agent.
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pub fn skills(mut self, skills: Vec<crate::openhuman::skills::Skill>) -> Self {
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self.skills = Some(skills);
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self
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}
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/// Enables or disables automatic saving of conversation history to memory.
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pub fn auto_save(mut self, auto_save: bool) -> Self {
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self.auto_save = Some(auto_save);
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self
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}
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/// Sets the query classification configuration.
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pub fn classification_config(
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mut self,
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classification_config: crate::openhuman::config::QueryClassificationConfig,
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) -> Self {
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self.classification_config = Some(classification_config);
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self
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}
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/// Sets the available model hints for auto-classification.
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pub fn available_hints(mut self, available_hints: Vec<String>) -> Self {
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self.available_hints = Some(available_hints);
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self
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}
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/// Sets the post-turn hooks to be executed after each turn.
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pub fn post_turn_hooks(
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mut self,
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hooks: Vec<Arc<dyn crate::openhuman::agent::hooks::PostTurnHook>>,
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) -> Self {
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self.post_turn_hooks = hooks;
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self
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}
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/// Enables or disables learning features.
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pub fn learning_enabled(mut self, enabled: bool) -> Self {
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self.learning_enabled = enabled;
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self
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}
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/// Sets the event-bus `session_id` and `channel` used to tag
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/// `DomainEvent`s emitted by this agent.
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///
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/// - `session_id` groups all events for a single user / conversation so
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/// downstream subscribers can correlate turns, tool calls, and errors.
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/// - `channel` labels the source or stream the events originated from
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/// (e.g. `"cli"`, `"telegram"`, `"rpc"`) — useful when multiple front
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/// ends share the same subscriber pipeline.
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///
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/// Both parameters are converted into owned `String`s and stored in
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/// `event_session_id` / `event_channel` respectively.
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pub fn event_context(
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mut self,
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session_id: impl Into<String>,
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channel: impl Into<String>,
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) -> Self {
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self.event_session_id = Some(session_id.into());
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self.event_channel = Some(channel.into());
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self
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}
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/// Validates the configuration and builds the `Agent` instance.
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pub fn build(self) -> Result<Agent> {
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let tools = self
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.tools
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.ok_or_else(|| anyhow::anyhow!("tools are required"))?;
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let tool_specs: Vec<ToolSpec> = tools.iter().map(|tool| tool.spec()).collect();
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Ok(Agent {
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provider: self
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.provider
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.ok_or_else(|| anyhow::anyhow!("provider is required"))?,
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tools: Arc::new(tools),
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tool_specs: Arc::new(tool_specs),
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memory: self
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.memory
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.ok_or_else(|| anyhow::anyhow!("memory is required"))?,
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prompt_builder: self
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.prompt_builder
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.unwrap_or_else(SystemPromptBuilder::with_defaults),
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tool_dispatcher: self
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.tool_dispatcher
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.ok_or_else(|| anyhow::anyhow!("tool_dispatcher is required"))?,
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memory_loader: self
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.memory_loader
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.unwrap_or_else(|| Box::new(DefaultMemoryLoader::default())),
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config: self.config.unwrap_or_default(),
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model_name: self
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.model_name
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.unwrap_or_else(|| crate::openhuman::config::DEFAULT_MODEL.into()),
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temperature: self.temperature.unwrap_or(0.7),
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workspace_dir: self
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.workspace_dir
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.unwrap_or_else(|| std::path::PathBuf::from(".")),
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identity_config: self.identity_config.unwrap_or_default(),
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skills: self.skills.unwrap_or_default(),
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auto_save: self.auto_save.unwrap_or(false),
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history: Vec::new(),
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classification_config: self.classification_config.unwrap_or_default(),
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available_hints: self.available_hints.unwrap_or_default(),
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post_turn_hooks: self.post_turn_hooks,
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learning_enabled: self.learning_enabled,
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event_session_id: self
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.event_session_id
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.unwrap_or_else(|| "standalone".to_string()),
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event_channel: self.event_channel.unwrap_or_else(|| "internal".to_string()),
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// The context pipeline is intentionally constructed with its
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// defaults here — its tunables (`tool_result_budget_bytes`,
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// microcompact thresholds, session-memory knobs) are read from
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// the per-agent `AgentConfig` at call sites, so there is no
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// need for a separate fluent setter on the builder today.
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context_pipeline: ContextPipeline::default(),
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})
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}
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}
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impl Agent {
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/// Creates an `Agent` instance from a global configuration.
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///
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/// This is the primary way to initialize an agent with all system
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/// integrations (memory, tools, skills, etc.) configured.
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pub fn from_config(config: &Config) -> Result<Self> {
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let runtime: Arc<dyn host_runtime::RuntimeAdapter> =
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Arc::from(host_runtime::create_runtime(&config.runtime)?);
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let security = Arc::new(SecurityPolicy::from_config(
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&config.autonomy,
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&config.workspace_dir,
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));
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let memory: Arc<dyn Memory> = Arc::from(memory::create_memory_with_storage_and_routes(
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&config.memory,
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&config.embedding_routes,
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Some(&config.storage.provider.config),
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&config.workspace_dir,
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config.api_key.as_deref(),
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)?);
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let composio_key = if config.composio.enabled {
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config.composio.api_key.as_deref()
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} else {
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None
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};
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let composio_entity_id = if config.composio.enabled {
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Some(config.composio.entity_id.as_str())
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} else {
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None
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};
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let mut tools = tools::all_tools_with_runtime(
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Arc::new(config.clone()),
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&security,
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runtime,
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memory.clone(),
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composio_key,
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composio_entity_id,
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&config.browser,
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&config.http_request,
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&config.workspace_dir,
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&config.agents,
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config.api_key.as_deref(),
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config,
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);
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// Bridge skill tools (Notion, Gmail, etc.) from the QuickJS runtime
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// into the agent's tool registry so the LLM can call them.
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let skill_tools = tools::skill_bridge::collect_skill_tools();
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if !skill_tools.is_empty() {
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log::info!(
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"[agent] Injecting {} skill tool(s) into agent registry",
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skill_tools.len()
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);
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tools.extend(skill_tools);
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}
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let model_name = config
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.default_model
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.as_deref()
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.unwrap_or(crate::openhuman::config::DEFAULT_MODEL)
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.to_string();
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let provider_runtime_options = providers::ProviderRuntimeOptions {
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auth_profile_override: None,
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openhuman_dir: config.config_path.parent().map(std::path::PathBuf::from),
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secrets_encrypt: config.secrets.encrypt,
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reasoning_enabled: config.runtime.reasoning_enabled,
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};
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let provider: Box<dyn Provider> = providers::create_routed_provider_with_options(
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config.api_key.as_deref(),
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config.api_url.as_deref(),
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&config.reliability,
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&config.model_routes,
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&model_name,
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&provider_runtime_options,
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)?;
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let dispatcher_choice = config.agent.tool_dispatcher.as_str();
|
||||
let tool_dispatcher: Box<dyn ToolDispatcher> = match dispatcher_choice {
|
||||
"native" => Box::new(NativeToolDispatcher),
|
||||
"xml" => Box::new(XmlToolDispatcher),
|
||||
_ if provider.supports_native_tools() => Box::new(NativeToolDispatcher),
|
||||
_ => Box::new(XmlToolDispatcher),
|
||||
};
|
||||
|
||||
let available_hints: Vec<String> =
|
||||
config.model_routes.iter().map(|r| r.hint.clone()).collect();
|
||||
|
||||
// Build prompt builder, optionally with learning sections
|
||||
let mut prompt_builder = SystemPromptBuilder::with_defaults();
|
||||
if config.learning.enabled {
|
||||
prompt_builder = prompt_builder
|
||||
.add_section(Box::new(
|
||||
crate::openhuman::learning::LearnedContextSection::new(memory.clone()),
|
||||
))
|
||||
.add_section(Box::new(
|
||||
crate::openhuman::learning::UserProfileSection::new(memory.clone()),
|
||||
));
|
||||
log::info!("[learning] prompt sections registered (learned_context, user_profile)");
|
||||
}
|
||||
|
||||
// Build post-turn hooks when learning is enabled
|
||||
let mut post_turn_hooks: Vec<Arc<dyn crate::openhuman::agent::hooks::PostTurnHook>> =
|
||||
Vec::new();
|
||||
if config.learning.enabled {
|
||||
if config.learning.reflection_enabled {
|
||||
// Only the reflection hook needs an owned snapshot of the
|
||||
// full config, so create the `Arc` lazily inside this
|
||||
// branch instead of paying for the clone whenever
|
||||
// `learning.enabled` is true.
|
||||
let full_config = Arc::new(config.clone());
|
||||
// For cloud reflection, wrap the provider in an Arc.
|
||||
// For local, no provider needed.
|
||||
let reflection_provider: Option<Arc<dyn crate::openhuman::providers::Provider>> =
|
||||
if config.learning.reflection_source
|
||||
== crate::openhuman::config::ReflectionSource::Cloud
|
||||
{
|
||||
Some(Arc::from(providers::create_routed_provider(
|
||||
config.api_key.as_deref(),
|
||||
config.api_url.as_deref(),
|
||||
&config.reliability,
|
||||
&config.model_routes,
|
||||
&model_name,
|
||||
)?))
|
||||
} else {
|
||||
None
|
||||
};
|
||||
post_turn_hooks.push(Arc::new(crate::openhuman::learning::ReflectionHook::new(
|
||||
config.learning.clone(),
|
||||
full_config.clone(),
|
||||
memory.clone(),
|
||||
reflection_provider,
|
||||
)));
|
||||
log::info!(
|
||||
"[learning] reflection hook registered (source={:?})",
|
||||
config.learning.reflection_source
|
||||
);
|
||||
}
|
||||
|
||||
if config.learning.user_profile_enabled {
|
||||
post_turn_hooks.push(Arc::new(crate::openhuman::learning::UserProfileHook::new(
|
||||
config.learning.clone(),
|
||||
memory.clone(),
|
||||
)));
|
||||
log::info!("[learning] user_profile hook registered");
|
||||
}
|
||||
|
||||
if config.learning.tool_tracking_enabled {
|
||||
post_turn_hooks.push(Arc::new(crate::openhuman::learning::ToolTrackerHook::new(
|
||||
config.learning.clone(),
|
||||
memory.clone(),
|
||||
)));
|
||||
log::info!("[learning] tool_tracker hook registered");
|
||||
}
|
||||
}
|
||||
|
||||
Agent::builder()
|
||||
.provider(provider)
|
||||
.tools(tools)
|
||||
.memory(memory)
|
||||
.tool_dispatcher(tool_dispatcher)
|
||||
.memory_loader(Box::new(
|
||||
DefaultMemoryLoader::new(5, config.memory.min_relevance_score)
|
||||
.with_max_chars(config.agent.max_memory_context_chars),
|
||||
))
|
||||
.prompt_builder(prompt_builder)
|
||||
.config(config.agent.clone())
|
||||
.model_name(model_name)
|
||||
.temperature(config.default_temperature)
|
||||
.workspace_dir(config.workspace_dir.clone())
|
||||
.classification_config(config.query_classification.clone())
|
||||
.available_hints(available_hints)
|
||||
.identity_config(config.identity.clone())
|
||||
.skills(crate::openhuman::skills::load_skills(&config.workspace_dir))
|
||||
.auto_save(config.memory.auto_save)
|
||||
.post_turn_hooks(post_turn_hooks)
|
||||
.learning_enabled(config.learning.enabled)
|
||||
.build()
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,61 @@
|
||||
//! Core agent implementation for the OpenHuman platform.
|
||||
//!
|
||||
//! This module provides the [`Agent`] struct, which orchestrates the
|
||||
//! interaction between the AI provider, available tools, memory
|
||||
//! systems, and the user. It handles the agent's "turn" logic,
|
||||
//! including tool execution and history management.
|
||||
//!
|
||||
//! # File layout
|
||||
//!
|
||||
//! This module used to be a single 2000-line `agent.rs` file. It's now
|
||||
//! split into focused children so each file has a clear role:
|
||||
//!
|
||||
//! | File | Role |
|
||||
//! |---------------|------------------------------------------------------------------|
|
||||
//! | [`types`] | `Agent` and `AgentBuilder` struct definitions (no logic). |
|
||||
//! | [`builder`] | `AgentBuilder` fluent API + `Agent::from_config` factory. |
|
||||
//! | [`turn`] | The `turn()` lifecycle, tool dispatch, context-pipeline wiring. |
|
||||
//! | [`runtime`] | Public accessors, `run_single` / `run_interactive`, helpers. |
|
||||
//! | `tests` | Integration tests (private). |
|
||||
//!
|
||||
//! External callers should import [`Agent`] and [`AgentBuilder`] from
|
||||
//! this module (or from `crate::openhuman::agent`, which re-exports
|
||||
//! them). The child files are an implementation detail.
|
||||
|
||||
mod builder;
|
||||
mod runtime;
|
||||
mod turn;
|
||||
mod types;
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests;
|
||||
|
||||
pub use types::{Agent, AgentBuilder};
|
||||
|
||||
use crate::openhuman::config::Config;
|
||||
use anyhow::Result;
|
||||
|
||||
/// Convenience entry point to run an agent with the given configuration and message.
|
||||
pub async fn run(
|
||||
config: Config,
|
||||
message: Option<String>,
|
||||
model_override: Option<String>,
|
||||
temperature: f64,
|
||||
) -> Result<()> {
|
||||
let mut effective_config = config;
|
||||
if let Some(m) = model_override {
|
||||
effective_config.default_model = Some(m);
|
||||
}
|
||||
effective_config.default_temperature = temperature;
|
||||
|
||||
let mut agent = Agent::from_config(&effective_config)?;
|
||||
|
||||
if let Some(msg) = message {
|
||||
let response = agent.run_single(&msg).await?;
|
||||
println!("{response}");
|
||||
} else {
|
||||
agent.run_interactive().await?;
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
@@ -0,0 +1,308 @@
|
||||
//! Public accessors, `run_single` / `run_interactive` CLI helpers, and
|
||||
//! assorted per-turn static helpers (id-fallback injection, event-error
|
||||
//! sanitisation, history diffing).
|
||||
//!
|
||||
//! These used to live alongside the turn loop in `agent.rs`. Splitting
|
||||
//! them out keeps `turn.rs` focused on the interaction lifecycle and
|
||||
//! makes it obvious which methods are cheap getters vs which actually
|
||||
//! drive the model.
|
||||
|
||||
use super::types::{Agent, AgentBuilder};
|
||||
use crate::openhuman::agent::dispatcher::ParsedToolCall;
|
||||
use crate::openhuman::agent::error::AgentError;
|
||||
use crate::openhuman::event_bus::{publish_global, DomainEvent};
|
||||
use crate::openhuman::memory::Memory;
|
||||
use crate::openhuman::providers::{self, ConversationMessage, Provider, ToolCall};
|
||||
use crate::openhuman::tools::{Tool, ToolSpec};
|
||||
use crate::openhuman::util::truncate_with_ellipsis;
|
||||
use anyhow::Result;
|
||||
use std::sync::Arc;
|
||||
|
||||
impl Agent {
|
||||
const EVENT_ERROR_MAX_CHARS: usize = 256;
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────
|
||||
// Small accessors used by `run_single` + `turn` + sub-agent runner
|
||||
// ─────────────────────────────────────────────────────────────────
|
||||
|
||||
pub(super) fn event_session_id(&self) -> &str {
|
||||
&self.event_session_id
|
||||
}
|
||||
|
||||
pub(super) fn event_channel(&self) -> &str {
|
||||
&self.event_channel
|
||||
}
|
||||
|
||||
/// Returns a new `AgentBuilder`.
|
||||
pub fn builder() -> AgentBuilder {
|
||||
AgentBuilder::new()
|
||||
}
|
||||
|
||||
/// Borrow the agent's provider as an `Arc`. Used by the sub-agent
|
||||
/// runner to share the parent's provider instance with spawned
|
||||
/// sub-agents (so they share connection pools, retry budgets, and
|
||||
/// rate-limit state).
|
||||
pub fn provider_arc(&self) -> Arc<dyn Provider> {
|
||||
Arc::clone(&self.provider)
|
||||
}
|
||||
|
||||
/// Borrow the agent's tools as a slice. Used by the sub-agent runner
|
||||
/// to filter the parent's tool registry per-archetype.
|
||||
pub fn tools(&self) -> &[Box<dyn Tool>] {
|
||||
self.tools.as_slice()
|
||||
}
|
||||
|
||||
/// Clone the agent's tools `Arc` for sharing with sub-agents.
|
||||
pub fn tools_arc(&self) -> Arc<Vec<Box<dyn Tool>>> {
|
||||
Arc::clone(&self.tools)
|
||||
}
|
||||
|
||||
/// Borrow the agent's tool specs (pre-serialised). Captured at
|
||||
/// turn-start so sub-agents can pass byte-identical schemas to the
|
||||
/// provider for prefix-cache reuse.
|
||||
pub fn tool_specs(&self) -> &[ToolSpec] {
|
||||
self.tool_specs.as_slice()
|
||||
}
|
||||
|
||||
/// Clone the agent's tool specs `Arc` for sharing with sub-agents.
|
||||
pub fn tool_specs_arc(&self) -> Arc<Vec<ToolSpec>> {
|
||||
Arc::clone(&self.tool_specs)
|
||||
}
|
||||
|
||||
/// Borrow the agent's memory backing store as an `Arc`.
|
||||
pub fn memory_arc(&self) -> Arc<dyn Memory> {
|
||||
Arc::clone(&self.memory)
|
||||
}
|
||||
|
||||
/// The agent's working directory.
|
||||
pub fn workspace_dir(&self) -> &std::path::Path {
|
||||
&self.workspace_dir
|
||||
}
|
||||
|
||||
/// The agent's currently-configured model name (before per-turn
|
||||
/// auto-classification).
|
||||
pub fn model_name(&self) -> &str {
|
||||
&self.model_name
|
||||
}
|
||||
|
||||
/// The agent's currently-configured temperature.
|
||||
pub fn temperature(&self) -> f64 {
|
||||
self.temperature
|
||||
}
|
||||
|
||||
/// The agent's loaded skills, if any.
|
||||
pub fn skills(&self) -> &[crate::openhuman::skills::Skill] {
|
||||
&self.skills
|
||||
}
|
||||
|
||||
/// The agent's identity config (used by sub-agent prompt building
|
||||
/// when `omit_identity = false`).
|
||||
pub fn identity_config(&self) -> &crate::openhuman::config::IdentityConfig {
|
||||
&self.identity_config
|
||||
}
|
||||
|
||||
/// The agent's runtime config snapshot.
|
||||
pub fn agent_config(&self) -> &crate::openhuman::config::AgentConfig {
|
||||
&self.config
|
||||
}
|
||||
|
||||
/// Returns the current conversation history.
|
||||
pub fn history(&self) -> &[ConversationMessage] {
|
||||
&self.history
|
||||
}
|
||||
|
||||
pub fn set_event_context(&mut self, session_id: impl Into<String>, channel: impl Into<String>) {
|
||||
self.event_session_id = session_id.into();
|
||||
self.event_channel = channel.into();
|
||||
}
|
||||
|
||||
/// Clears the agent's conversation history.
|
||||
pub fn clear_history(&mut self) {
|
||||
self.history.clear();
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────
|
||||
// Static helpers for turn parsing + telemetry
|
||||
// ─────────────────────────────────────────────────────────────────
|
||||
|
||||
pub(super) fn count_iterations(messages: &[ConversationMessage]) -> usize {
|
||||
messages
|
||||
.iter()
|
||||
.filter(|message| matches!(message, ConversationMessage::AssistantToolCalls { .. }))
|
||||
.count()
|
||||
+ 1
|
||||
}
|
||||
|
||||
fn conversation_message_eq(left: &ConversationMessage, right: &ConversationMessage) -> bool {
|
||||
serde_json::to_string(left).ok() == serde_json::to_string(right).ok()
|
||||
}
|
||||
|
||||
fn message_slice_eq(left: &[ConversationMessage], right: &[ConversationMessage]) -> bool {
|
||||
left.len() == right.len()
|
||||
&& left
|
||||
.iter()
|
||||
.zip(right.iter())
|
||||
.all(|(left, right)| Self::conversation_message_eq(left, right))
|
||||
}
|
||||
|
||||
pub(super) fn new_entries_for_turn<'a>(
|
||||
history_snapshot: &[ConversationMessage],
|
||||
current_history: &'a [ConversationMessage],
|
||||
) -> &'a [ConversationMessage] {
|
||||
let common_prefix_len = history_snapshot
|
||||
.iter()
|
||||
.zip(current_history.iter())
|
||||
.take_while(|(left, right)| Self::conversation_message_eq(left, right))
|
||||
.count();
|
||||
|
||||
if common_prefix_len == history_snapshot.len() {
|
||||
return ¤t_history[common_prefix_len..];
|
||||
}
|
||||
|
||||
let max_overlap = history_snapshot.len().min(current_history.len());
|
||||
for overlap in (0..=max_overlap).rev() {
|
||||
let snapshot_suffix = &history_snapshot[history_snapshot.len() - overlap..];
|
||||
let current_prefix = ¤t_history[..overlap];
|
||||
if Self::message_slice_eq(snapshot_suffix, current_prefix) {
|
||||
return ¤t_history[overlap..];
|
||||
}
|
||||
}
|
||||
|
||||
current_history
|
||||
}
|
||||
|
||||
pub(super) fn sanitize_event_error_message(err: &anyhow::Error) -> String {
|
||||
let kind = match err.downcast_ref::<AgentError>() {
|
||||
Some(AgentError::ProviderError { .. }) => Some("provider_error"),
|
||||
Some(AgentError::ContextLimitExceeded { .. }) => Some("context_limit_exceeded"),
|
||||
Some(AgentError::ToolExecutionError { .. }) => Some("tool_execution_error"),
|
||||
Some(AgentError::CostBudgetExceeded { .. }) => Some("cost_budget_exceeded"),
|
||||
Some(AgentError::MaxIterationsExceeded { .. }) => Some("max_iterations_exceeded"),
|
||||
Some(AgentError::CompactionFailed { .. }) => Some("compaction_failed"),
|
||||
Some(AgentError::PermissionDenied { .. }) => Some("permission_denied"),
|
||||
Some(AgentError::Other(_)) | None => None,
|
||||
};
|
||||
|
||||
if let Some(kind) = kind {
|
||||
return kind.to_string();
|
||||
}
|
||||
|
||||
let scrubbed = providers::sanitize_api_error(&err.to_string())
|
||||
.replace(['\n', '\r', '\t'], " ")
|
||||
.split_whitespace()
|
||||
.collect::<Vec<_>>()
|
||||
.join(" ");
|
||||
truncate_with_ellipsis(&scrubbed, Self::EVENT_ERROR_MAX_CHARS)
|
||||
}
|
||||
|
||||
/// Injects unique IDs into tool calls that are missing them.
|
||||
///
|
||||
/// This is necessary for some tool dispatchers to correctly track and
|
||||
/// associate results.
|
||||
pub(super) fn with_fallback_tool_call_ids(
|
||||
mut parsed_calls: Vec<ParsedToolCall>,
|
||||
iteration: usize,
|
||||
) -> Vec<ParsedToolCall> {
|
||||
for (idx, call) in parsed_calls.iter_mut().enumerate() {
|
||||
if call.tool_call_id.is_none() {
|
||||
call.tool_call_id = Some(format!("parsed-{}-{}", iteration + 1, idx + 1));
|
||||
}
|
||||
}
|
||||
parsed_calls
|
||||
}
|
||||
|
||||
/// Converts parsed tool calls into the provider-standard `ToolCall` format.
|
||||
///
|
||||
/// If the provider response already contains native tool calls, they are
|
||||
/// returned as-is.
|
||||
pub(super) fn persisted_tool_calls_for_history(
|
||||
response: &crate::openhuman::providers::ChatResponse,
|
||||
parsed_calls: &[ParsedToolCall],
|
||||
iteration: usize,
|
||||
) -> Vec<ToolCall> {
|
||||
if !response.tool_calls.is_empty() {
|
||||
return response.tool_calls.clone();
|
||||
}
|
||||
|
||||
parsed_calls
|
||||
.iter()
|
||||
.enumerate()
|
||||
.map(|(idx, call)| ToolCall {
|
||||
id: call
|
||||
.tool_call_id
|
||||
.clone()
|
||||
.unwrap_or_else(|| format!("parsed-{}-{}", iteration + 1, idx + 1)),
|
||||
name: call.name.clone(),
|
||||
arguments: call.arguments.to_string(),
|
||||
})
|
||||
.collect()
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────
|
||||
// Run helpers — single-shot and interactive loops
|
||||
// ─────────────────────────────────────────────────────────────────
|
||||
|
||||
/// Runs a single turn with the given message and returns the response.
|
||||
pub async fn run_single(&mut self, message: &str) -> Result<String> {
|
||||
let history_snapshot = self.history.clone();
|
||||
publish_global(DomainEvent::AgentTurnStarted {
|
||||
session_id: self.event_session_id().to_string(),
|
||||
channel: self.event_channel().to_string(),
|
||||
});
|
||||
|
||||
match self.turn(message).await {
|
||||
Ok(response) => {
|
||||
let new_entries = Self::new_entries_for_turn(&history_snapshot, &self.history);
|
||||
publish_global(DomainEvent::AgentTurnCompleted {
|
||||
session_id: self.event_session_id().to_string(),
|
||||
text_chars: response.chars().count(),
|
||||
iterations: Self::count_iterations(new_entries),
|
||||
});
|
||||
Ok(response)
|
||||
}
|
||||
Err(err) => {
|
||||
let sanitized_message = Self::sanitize_event_error_message(&err);
|
||||
publish_global(DomainEvent::AgentError {
|
||||
session_id: self.event_session_id().to_string(),
|
||||
message: sanitized_message,
|
||||
recoverable: false,
|
||||
});
|
||||
Err(err)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// Runs an interactive CLI loop, reading from standard input and printing to standard output.
|
||||
///
|
||||
/// Each incoming message is dispatched through [`Agent::run_single`] so
|
||||
/// the unified lifecycle events (`AgentTurnStarted`, `AgentTurnCompleted`,
|
||||
/// `AgentError`) and error sanitisation run for interactive turns just
|
||||
/// like they do for one-shot invocations.
|
||||
pub async fn run_interactive(&mut self) -> Result<()> {
|
||||
println!("🦀 OpenHuman Interactive Mode");
|
||||
println!("Type /quit to exit.\n");
|
||||
|
||||
let (tx, mut rx) = tokio::sync::mpsc::channel(32);
|
||||
let cli = crate::openhuman::channels::CliChannel::new();
|
||||
|
||||
let listen_handle = tokio::spawn(async move {
|
||||
let _ = crate::openhuman::channels::Channel::listen(&cli, tx).await;
|
||||
});
|
||||
|
||||
while let Some(msg) = rx.recv().await {
|
||||
match self.run_single(&msg.content).await {
|
||||
Ok(response) => println!("\n{response}\n"),
|
||||
Err(e) => {
|
||||
// `run_single` already publishes `AgentError` and
|
||||
// sanitises the payload; surface a concise line here
|
||||
// for the CLI user and continue the loop.
|
||||
eprintln!("\nError: {e}\n");
|
||||
continue;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
listen_handle.abort();
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,582 @@
|
||||
//! `Agent` unit + integration tests.
|
||||
//!
|
||||
//! All tests exercise the agent through its public surface only (no
|
||||
//! private-field access), which is why they live in a sibling file
|
||||
//! rather than inline with one of the impl blocks. Shared fakes
|
||||
//! (`MockProvider`, `RecordingProvider`, `MockTool`) are defined here.
|
||||
|
||||
use super::types::{Agent, AgentBuilder};
|
||||
use crate::openhuman::agent::dispatcher::{NativeToolDispatcher, XmlToolDispatcher};
|
||||
use crate::openhuman::memory::Memory;
|
||||
use crate::openhuman::providers::{ChatRequest, ConversationMessage, Provider};
|
||||
use crate::openhuman::tools::Tool;
|
||||
use anyhow::Result;
|
||||
use async_trait::async_trait;
|
||||
use parking_lot::Mutex;
|
||||
use std::sync::Arc;
|
||||
|
||||
struct MockProvider {
|
||||
responses: Mutex<Vec<crate::openhuman::providers::ChatResponse>>,
|
||||
}
|
||||
|
||||
#[async_trait]
|
||||
impl Provider for MockProvider {
|
||||
async fn chat_with_system(
|
||||
&self,
|
||||
_system_prompt: Option<&str>,
|
||||
_message: &str,
|
||||
_model: &str,
|
||||
_temperature: f64,
|
||||
) -> Result<String> {
|
||||
Ok("ok".into())
|
||||
}
|
||||
|
||||
async fn chat(
|
||||
&self,
|
||||
_request: ChatRequest<'_>,
|
||||
_model: &str,
|
||||
_temperature: f64,
|
||||
) -> Result<crate::openhuman::providers::ChatResponse> {
|
||||
let mut guard = self.responses.lock();
|
||||
if guard.is_empty() {
|
||||
return Ok(crate::openhuman::providers::ChatResponse {
|
||||
text: Some("done".into()),
|
||||
tool_calls: vec![],
|
||||
usage: None,
|
||||
});
|
||||
}
|
||||
Ok(guard.remove(0))
|
||||
}
|
||||
}
|
||||
|
||||
/// Provider that records the system prompt bytes and model name of
|
||||
/// every `chat()` call. Used by KV-cache stability tests — anything
|
||||
/// that varies between turns (timestamps, re-rendered memory context,
|
||||
/// flipped model hints) will show up as a diff between captures.
|
||||
#[derive(Default)]
|
||||
struct RecordingProvider {
|
||||
captures: Mutex<Vec<CapturedCall>>,
|
||||
responses: Mutex<Vec<crate::openhuman::providers::ChatResponse>>,
|
||||
}
|
||||
|
||||
#[derive(Clone)]
|
||||
struct CapturedCall {
|
||||
system_prompt: Option<String>,
|
||||
model: String,
|
||||
}
|
||||
|
||||
#[async_trait]
|
||||
impl Provider for RecordingProvider {
|
||||
async fn chat_with_system(
|
||||
&self,
|
||||
_system_prompt: Option<&str>,
|
||||
_message: &str,
|
||||
_model: &str,
|
||||
_temperature: f64,
|
||||
) -> Result<String> {
|
||||
Ok("ok".into())
|
||||
}
|
||||
|
||||
async fn chat(
|
||||
&self,
|
||||
request: ChatRequest<'_>,
|
||||
model: &str,
|
||||
_temperature: f64,
|
||||
) -> Result<crate::openhuman::providers::ChatResponse> {
|
||||
let system_prompt = request
|
||||
.messages
|
||||
.iter()
|
||||
.find(|m| m.role == "system")
|
||||
.map(|m| m.content.clone());
|
||||
self.captures.lock().push(CapturedCall {
|
||||
system_prompt,
|
||||
model: model.to_string(),
|
||||
});
|
||||
|
||||
let mut guard = self.responses.lock();
|
||||
if guard.is_empty() {
|
||||
return Ok(crate::openhuman::providers::ChatResponse {
|
||||
text: Some("done".into()),
|
||||
tool_calls: vec![],
|
||||
usage: None,
|
||||
});
|
||||
}
|
||||
Ok(guard.remove(0))
|
||||
}
|
||||
}
|
||||
|
||||
struct MockTool;
|
||||
|
||||
#[async_trait]
|
||||
impl Tool for MockTool {
|
||||
fn name(&self) -> &str {
|
||||
"echo"
|
||||
}
|
||||
|
||||
fn description(&self) -> &str {
|
||||
"echo"
|
||||
}
|
||||
|
||||
fn parameters_schema(&self) -> serde_json::Value {
|
||||
serde_json::json!({"type": "object"})
|
||||
}
|
||||
|
||||
async fn execute(
|
||||
&self,
|
||||
_args: serde_json::Value,
|
||||
) -> Result<crate::openhuman::tools::ToolResult> {
|
||||
Ok(crate::openhuman::tools::ToolResult::success("tool-out"))
|
||||
}
|
||||
}
|
||||
|
||||
// silence clippy — `AgentBuilder` is imported so tests can reference
|
||||
// it in doc examples / type assertions if needed.
|
||||
#[allow(dead_code)]
|
||||
fn _assert_builder_is_exported() -> AgentBuilder {
|
||||
Agent::builder()
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn turn_without_tools_returns_text() {
|
||||
let workspace = tempfile::TempDir::new().expect("temp workspace");
|
||||
let workspace_path = workspace.path().to_path_buf();
|
||||
|
||||
let provider = Box::new(MockProvider {
|
||||
responses: Mutex::new(vec![crate::openhuman::providers::ChatResponse {
|
||||
text: Some("hello".into()),
|
||||
tool_calls: vec![],
|
||||
usage: None,
|
||||
}]),
|
||||
});
|
||||
|
||||
let memory_cfg = crate::openhuman::config::MemoryConfig {
|
||||
backend: "none".into(),
|
||||
..crate::openhuman::config::MemoryConfig::default()
|
||||
};
|
||||
let mem: Arc<dyn Memory> = Arc::from(
|
||||
crate::openhuman::memory::create_memory(&memory_cfg, &workspace_path, None).unwrap(),
|
||||
);
|
||||
|
||||
let mut agent = Agent::builder()
|
||||
.provider(provider)
|
||||
.tools(vec![Box::new(MockTool)])
|
||||
.memory(mem)
|
||||
.tool_dispatcher(Box::new(XmlToolDispatcher))
|
||||
.workspace_dir(workspace_path)
|
||||
.build()
|
||||
.unwrap();
|
||||
|
||||
let response = agent.turn("hi").await.unwrap();
|
||||
assert_eq!(response, "hello");
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn turn_with_native_dispatcher_handles_tool_results_variant() {
|
||||
let workspace = tempfile::TempDir::new().expect("temp workspace");
|
||||
let workspace_path = workspace.path().to_path_buf();
|
||||
|
||||
let provider = Box::new(MockProvider {
|
||||
responses: Mutex::new(vec![
|
||||
crate::openhuman::providers::ChatResponse {
|
||||
text: Some(String::new()),
|
||||
tool_calls: vec![crate::openhuman::providers::ToolCall {
|
||||
id: "tc1".into(),
|
||||
name: "echo".into(),
|
||||
arguments: "{}".into(),
|
||||
}],
|
||||
usage: None,
|
||||
},
|
||||
crate::openhuman::providers::ChatResponse {
|
||||
text: Some("done".into()),
|
||||
tool_calls: vec![],
|
||||
usage: None,
|
||||
},
|
||||
]),
|
||||
});
|
||||
|
||||
let memory_cfg = crate::openhuman::config::MemoryConfig {
|
||||
backend: "none".into(),
|
||||
..crate::openhuman::config::MemoryConfig::default()
|
||||
};
|
||||
let mem: Arc<dyn Memory> = Arc::from(
|
||||
crate::openhuman::memory::create_memory(&memory_cfg, &workspace_path, None).unwrap(),
|
||||
);
|
||||
|
||||
let mut agent = Agent::builder()
|
||||
.provider(provider)
|
||||
.tools(vec![Box::new(MockTool)])
|
||||
.memory(mem)
|
||||
.tool_dispatcher(Box::new(NativeToolDispatcher))
|
||||
.workspace_dir(workspace_path)
|
||||
.build()
|
||||
.unwrap();
|
||||
|
||||
let response = agent.turn("hi").await.unwrap();
|
||||
assert_eq!(response, "done");
|
||||
assert!(agent
|
||||
.history()
|
||||
.iter()
|
||||
.any(|msg| matches!(msg, ConversationMessage::ToolResults(_))));
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn turn_with_native_dispatcher_persists_fallback_tool_calls() {
|
||||
let workspace = tempfile::TempDir::new().expect("temp workspace");
|
||||
let workspace_path = workspace.path().to_path_buf();
|
||||
|
||||
let provider = Box::new(MockProvider {
|
||||
responses: Mutex::new(vec![
|
||||
crate::openhuman::providers::ChatResponse {
|
||||
text: Some(
|
||||
"Checking...\n<tool_call>{\"name\":\"echo\",\"arguments\":{}}</tool_call>"
|
||||
.into(),
|
||||
),
|
||||
tool_calls: vec![],
|
||||
usage: None,
|
||||
},
|
||||
crate::openhuman::providers::ChatResponse {
|
||||
text: Some("done".into()),
|
||||
tool_calls: vec![],
|
||||
usage: None,
|
||||
},
|
||||
]),
|
||||
});
|
||||
|
||||
let memory_cfg = crate::openhuman::config::MemoryConfig {
|
||||
backend: "none".into(),
|
||||
..crate::openhuman::config::MemoryConfig::default()
|
||||
};
|
||||
let mem: Arc<dyn Memory> = Arc::from(
|
||||
crate::openhuman::memory::create_memory(&memory_cfg, &workspace_path, None).unwrap(),
|
||||
);
|
||||
|
||||
let mut agent = Agent::builder()
|
||||
.provider(provider)
|
||||
.tools(vec![Box::new(MockTool)])
|
||||
.memory(mem)
|
||||
.tool_dispatcher(Box::new(NativeToolDispatcher))
|
||||
.workspace_dir(workspace_path)
|
||||
.build()
|
||||
.unwrap();
|
||||
|
||||
let response = agent.turn("hi").await.unwrap();
|
||||
assert_eq!(response, "done");
|
||||
|
||||
let persisted_calls = agent
|
||||
.history()
|
||||
.iter()
|
||||
.find_map(|msg| match msg {
|
||||
ConversationMessage::AssistantToolCalls { tool_calls, .. } => Some(tool_calls),
|
||||
_ => None,
|
||||
})
|
||||
.expect("assistant tool calls should be persisted");
|
||||
assert_eq!(persisted_calls.len(), 1);
|
||||
assert_eq!(persisted_calls[0].name, "echo");
|
||||
}
|
||||
|
||||
/// End-to-end: parent Agent issues a `spawn_subagent` tool call, the
|
||||
/// runner dispatches a built-in sub-agent (`researcher`) using the
|
||||
/// same MockProvider, and the parent's next turn folds the sub-agent's
|
||||
/// text output into the final response.
|
||||
///
|
||||
/// This is the highest-level test that exercises:
|
||||
/// - Agent::turn → execute_tool_call → SpawnSubagentTool::execute
|
||||
/// - PARENT_CONTEXT task-local visibility
|
||||
/// - AgentDefinitionRegistry::global lookup
|
||||
/// - run_subagent → run_inner_loop with the parent's provider
|
||||
/// - Result returned as a ToolResult and threaded back into history
|
||||
#[tokio::test]
|
||||
async fn turn_dispatches_spawn_subagent_through_full_path() {
|
||||
use crate::openhuman::agent::harness::AgentDefinitionRegistry;
|
||||
use crate::openhuman::tools::SpawnSubagentTool;
|
||||
|
||||
// Idempotent — other tests may have already initialised it.
|
||||
AgentDefinitionRegistry::init_global_builtins().unwrap();
|
||||
|
||||
let workspace = tempfile::TempDir::new().expect("temp workspace");
|
||||
let workspace_path = workspace.path().to_path_buf();
|
||||
|
||||
// Scripted responses, in the exact order MockProvider will see them:
|
||||
// 1. Parent turn iter 0 — emit a spawn_subagent tool call.
|
||||
// 2. Sub-agent (researcher) iter 0 — return final text "X is Y".
|
||||
// 3. Parent turn iter 1 — fold sub-agent result into "Based on the research, X is Y."
|
||||
let provider = Box::new(MockProvider {
|
||||
responses: Mutex::new(vec![
|
||||
crate::openhuman::providers::ChatResponse {
|
||||
text: Some(String::new()),
|
||||
tool_calls: vec![crate::openhuman::providers::ToolCall {
|
||||
id: "call-spawn".into(),
|
||||
name: "spawn_subagent".into(),
|
||||
arguments: serde_json::json!({
|
||||
"agent_id": "researcher",
|
||||
"prompt": "find out about X"
|
||||
})
|
||||
.to_string(),
|
||||
}],
|
||||
usage: None,
|
||||
},
|
||||
crate::openhuman::providers::ChatResponse {
|
||||
text: Some("X is Y".into()),
|
||||
tool_calls: vec![],
|
||||
usage: None,
|
||||
},
|
||||
crate::openhuman::providers::ChatResponse {
|
||||
text: Some("Based on the research, X is Y.".into()),
|
||||
tool_calls: vec![],
|
||||
usage: None,
|
||||
},
|
||||
]),
|
||||
});
|
||||
|
||||
let memory_cfg = crate::openhuman::config::MemoryConfig {
|
||||
backend: "none".into(),
|
||||
..crate::openhuman::config::MemoryConfig::default()
|
||||
};
|
||||
let mem: Arc<dyn Memory> = Arc::from(
|
||||
crate::openhuman::memory::create_memory(&memory_cfg, &workspace_path, None).unwrap(),
|
||||
);
|
||||
|
||||
// Tools include SpawnSubagentTool so the parent can call it.
|
||||
let tools: Vec<Box<dyn Tool>> = vec![Box::new(SpawnSubagentTool::new())];
|
||||
|
||||
let mut agent = Agent::builder()
|
||||
.provider(provider)
|
||||
.tools(tools)
|
||||
.memory(mem)
|
||||
.tool_dispatcher(Box::new(NativeToolDispatcher))
|
||||
.workspace_dir(workspace_path)
|
||||
.build()
|
||||
.unwrap();
|
||||
|
||||
let response = agent.turn("tell me about X").await.unwrap();
|
||||
assert_eq!(response, "Based on the research, X is Y.");
|
||||
|
||||
// The parent's history should contain the spawn_subagent
|
||||
// assistant tool call AND a tool-result message carrying the
|
||||
// sub-agent's compact output.
|
||||
let has_spawn_call = agent.history().iter().any(|msg| match msg {
|
||||
ConversationMessage::AssistantToolCalls { tool_calls, .. } => {
|
||||
tool_calls.iter().any(|c| c.name == "spawn_subagent")
|
||||
}
|
||||
_ => false,
|
||||
});
|
||||
assert!(
|
||||
has_spawn_call,
|
||||
"parent history should contain the spawn_subagent assistant tool call"
|
||||
);
|
||||
|
||||
let tool_result_contains_subagent_output = agent.history().iter().any(|msg| match msg {
|
||||
ConversationMessage::ToolResults(results) => {
|
||||
results.iter().any(|r| r.content.contains("X is Y"))
|
||||
}
|
||||
ConversationMessage::Chat(chat) if chat.role == "tool" => chat.content.contains("X is Y"),
|
||||
_ => false,
|
||||
});
|
||||
assert!(
|
||||
tool_result_contains_subagent_output,
|
||||
"parent history should contain a tool-result entry with the sub-agent's output"
|
||||
);
|
||||
}
|
||||
|
||||
/// Fork-mode variant of `turn_dispatches_spawn_subagent_through_full_path`.
|
||||
///
|
||||
/// Exercises the prefix-replay path: the parent issues
|
||||
/// `spawn_subagent { mode: "fork", … }`, the runner resolves the `fork`
|
||||
/// built-in definition, pulls the parent's exact rendered prompt + tool
|
||||
/// schemas + message prefix out of the `ForkContext` task-local, and
|
||||
/// runs the inner loop on the parent's own provider.
|
||||
///
|
||||
/// From the provider's perspective the response queue is consumed in
|
||||
/// the same fixed sequence as the typed test — parent tool_call → sub-
|
||||
/// agent reply → parent folded reply — which is the invariant that
|
||||
/// makes KV-cache reuse possible on the real backend.
|
||||
#[tokio::test]
|
||||
async fn turn_dispatches_spawn_subagent_in_fork_mode() {
|
||||
use crate::openhuman::agent::harness::AgentDefinitionRegistry;
|
||||
use crate::openhuman::tools::SpawnSubagentTool;
|
||||
|
||||
// Idempotent — other tests may have already initialised it.
|
||||
AgentDefinitionRegistry::init_global_builtins().unwrap();
|
||||
|
||||
let workspace = tempfile::TempDir::new().expect("temp workspace");
|
||||
let workspace_path = workspace.path().to_path_buf();
|
||||
|
||||
// Provider response queue, consumed in order:
|
||||
// 1. Parent turn iter 0 — emit spawn_subagent with mode=fork.
|
||||
// 2. Fork sub-agent iter 0 — return "X is Y" (no tool calls).
|
||||
// 3. Parent turn iter 1 — fold the forked result into the final
|
||||
// text the user sees.
|
||||
let provider = Box::new(MockProvider {
|
||||
responses: Mutex::new(vec![
|
||||
crate::openhuman::providers::ChatResponse {
|
||||
text: Some(String::new()),
|
||||
tool_calls: vec![crate::openhuman::providers::ToolCall {
|
||||
id: "call-fork".into(),
|
||||
name: "spawn_subagent".into(),
|
||||
arguments: serde_json::json!({
|
||||
// agent_id is still required by the schema even
|
||||
// though `mode=fork` overrides the lookup to the
|
||||
// synthetic `fork` definition.
|
||||
"agent_id": "researcher",
|
||||
"mode": "fork",
|
||||
"prompt": "analyse branch X"
|
||||
})
|
||||
.to_string(),
|
||||
}],
|
||||
usage: None,
|
||||
},
|
||||
crate::openhuman::providers::ChatResponse {
|
||||
text: Some("X is Y".into()),
|
||||
tool_calls: vec![],
|
||||
usage: None,
|
||||
},
|
||||
crate::openhuman::providers::ChatResponse {
|
||||
text: Some("Based on the research, X is Y.".into()),
|
||||
tool_calls: vec![],
|
||||
usage: None,
|
||||
},
|
||||
]),
|
||||
});
|
||||
|
||||
let memory_cfg = crate::openhuman::config::MemoryConfig {
|
||||
backend: "none".into(),
|
||||
..crate::openhuman::config::MemoryConfig::default()
|
||||
};
|
||||
let mem: Arc<dyn Memory> = Arc::from(
|
||||
crate::openhuman::memory::create_memory(&memory_cfg, &workspace_path, None).unwrap(),
|
||||
);
|
||||
|
||||
let tools: Vec<Box<dyn Tool>> = vec![Box::new(SpawnSubagentTool::new())];
|
||||
|
||||
let mut agent = Agent::builder()
|
||||
.provider(provider)
|
||||
.tools(tools)
|
||||
.memory(mem)
|
||||
.tool_dispatcher(Box::new(NativeToolDispatcher))
|
||||
.workspace_dir(workspace_path)
|
||||
.build()
|
||||
.unwrap();
|
||||
|
||||
let response = agent.turn("tell me about X").await.unwrap();
|
||||
assert_eq!(response, "Based on the research, X is Y.");
|
||||
|
||||
// Same history assertions as the typed path — the fork runner
|
||||
// still threads its compact output back through the parent's tool
|
||||
// result pipeline.
|
||||
let has_spawn_call = agent.history().iter().any(|msg| match msg {
|
||||
ConversationMessage::AssistantToolCalls { tool_calls, .. } => {
|
||||
tool_calls.iter().any(|c| c.name == "spawn_subagent")
|
||||
}
|
||||
_ => false,
|
||||
});
|
||||
assert!(
|
||||
has_spawn_call,
|
||||
"parent history should contain the spawn_subagent assistant tool call"
|
||||
);
|
||||
|
||||
let tool_result_contains_subagent_output = agent.history().iter().any(|msg| match msg {
|
||||
ConversationMessage::ToolResults(results) => {
|
||||
results.iter().any(|r| r.content.contains("X is Y"))
|
||||
}
|
||||
ConversationMessage::Chat(chat) if chat.role == "tool" => chat.content.contains("X is Y"),
|
||||
_ => false,
|
||||
});
|
||||
assert!(
|
||||
tool_result_contains_subagent_output,
|
||||
"parent history should contain a tool-result entry with the fork sub-agent's output"
|
||||
);
|
||||
}
|
||||
|
||||
/// KV-cache invariant: across multiple turns in the same session, the
|
||||
/// system-prompt bytes submitted to the provider must be byte-identical,
|
||||
/// and the model name must not flip. Both are required for the backend's
|
||||
/// automatic prefix cache to hit — if either changes, the backend must
|
||||
/// re-prefill the entire prompt every turn.
|
||||
///
|
||||
/// This test guards against two regressions:
|
||||
/// 1. A future edit that reintroduces the subsequent-turn system
|
||||
/// prompt rebuild (see the `learning_enabled` branch we
|
||||
/// deliberately removed in `turn()`).
|
||||
/// 2. A future edit that reintroduces per-message model
|
||||
/// classification on the main agent (which would flip the
|
||||
/// effective model between turns).
|
||||
#[tokio::test]
|
||||
async fn system_prompt_and_model_are_byte_stable_across_turns() {
|
||||
let workspace = tempfile::TempDir::new().expect("temp workspace");
|
||||
let workspace_path = workspace.path().to_path_buf();
|
||||
|
||||
let provider = Arc::new(RecordingProvider {
|
||||
responses: Mutex::new(vec![
|
||||
crate::openhuman::providers::ChatResponse {
|
||||
text: Some("first".into()),
|
||||
tool_calls: vec![],
|
||||
usage: None,
|
||||
},
|
||||
crate::openhuman::providers::ChatResponse {
|
||||
text: Some("second".into()),
|
||||
tool_calls: vec![],
|
||||
usage: None,
|
||||
},
|
||||
crate::openhuman::providers::ChatResponse {
|
||||
text: Some("third".into()),
|
||||
tool_calls: vec![],
|
||||
usage: None,
|
||||
},
|
||||
]),
|
||||
captures: Mutex::new(Vec::new()),
|
||||
});
|
||||
|
||||
let memory_cfg = crate::openhuman::config::MemoryConfig {
|
||||
backend: "none".into(),
|
||||
..crate::openhuman::config::MemoryConfig::default()
|
||||
};
|
||||
let mem: Arc<dyn Memory> = Arc::from(
|
||||
crate::openhuman::memory::create_memory(&memory_cfg, &workspace_path, None).unwrap(),
|
||||
);
|
||||
|
||||
let mut agent = Agent::builder()
|
||||
.provider_arc(provider.clone() as Arc<dyn Provider>)
|
||||
.tools(vec![])
|
||||
.memory(mem)
|
||||
.tool_dispatcher(Box::new(NativeToolDispatcher))
|
||||
.workspace_dir(workspace_path)
|
||||
// Learning flag is explicitly enabled to prove that the
|
||||
// former "rebuild system prompt on subsequent turns" branch
|
||||
// is gone — we should still see byte-stable prompts.
|
||||
.learning_enabled(true)
|
||||
.build()
|
||||
.unwrap();
|
||||
|
||||
for prompt in ["first question", "second question", "third question"] {
|
||||
agent.turn(prompt).await.unwrap();
|
||||
}
|
||||
|
||||
let captures = provider.captures.lock().clone();
|
||||
assert_eq!(
|
||||
captures.len(),
|
||||
3,
|
||||
"expected one provider call per turn, got {}",
|
||||
captures.len()
|
||||
);
|
||||
|
||||
let first_system = captures[0]
|
||||
.system_prompt
|
||||
.as_ref()
|
||||
.expect("first turn should have a system prompt");
|
||||
for (idx, cap) in captures.iter().enumerate() {
|
||||
let sys = cap
|
||||
.system_prompt
|
||||
.as_ref()
|
||||
.expect("every turn should carry the system prompt");
|
||||
assert_eq!(
|
||||
sys, first_system,
|
||||
"system prompt drifted on turn {} — KV cache prefix broken",
|
||||
idx
|
||||
);
|
||||
assert_eq!(
|
||||
cap.model, captures[0].model,
|
||||
"model name flipped on turn {} — KV cache namespace broken",
|
||||
idx
|
||||
);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,779 @@
|
||||
//! Turn lifecycle: running a single interaction, executing tools, and
|
||||
//! wiring the context pipeline + sub-agent harness around them.
|
||||
//!
|
||||
//! This file owns the "hot path" methods on `Agent`:
|
||||
//!
|
||||
//! - [`Agent::turn`] — the big one. Orchestrates system-prompt build,
|
||||
//! memory-context injection, the provider loop, tool dispatch, and
|
||||
//! the context pipeline (tool-result budget → microcompact →
|
||||
//! autocompact signal → session-memory extraction trigger).
|
||||
//! - [`Agent::execute_tool_call`] / [`Agent::execute_tools`] — the
|
||||
//! per-call runners, including the fork-cache `ForkContext` stash
|
||||
//! for `spawn_subagent { mode: "fork" }` invocations.
|
||||
//! - [`Agent::build_parent_execution_context`] /
|
||||
//! [`Agent::build_fork_context`] — snapshot helpers for sub-agent
|
||||
//! task-locals.
|
||||
//! - [`Agent::trim_history`], [`Agent::fetch_learned_context`],
|
||||
//! [`Agent::build_system_prompt`], [`Agent::classify_model`] — the
|
||||
//! small helpers `turn()` leans on every call.
|
||||
//! - [`Agent::spawn_session_memory_extraction`] — the fire-and-forget
|
||||
//! background archivist fork.
|
||||
|
||||
use super::types::Agent;
|
||||
use crate::openhuman::agent::context_pipeline;
|
||||
use crate::openhuman::agent::dispatcher::{ParsedToolCall, ToolExecutionResult};
|
||||
use crate::openhuman::agent::harness;
|
||||
use crate::openhuman::agent::hooks::{self, ToolCallRecord, TurnContext};
|
||||
use crate::openhuman::agent::prompt::{LearnedContextData, PromptContext};
|
||||
use crate::openhuman::event_bus::{publish_global, DomainEvent};
|
||||
use crate::openhuman::memory::MemoryCategory;
|
||||
use crate::openhuman::providers::{ChatMessage, ChatRequest, ConversationMessage};
|
||||
use crate::openhuman::tools::Tool;
|
||||
use crate::openhuman::util::truncate_with_ellipsis;
|
||||
use anyhow::Result;
|
||||
use std::sync::Arc;
|
||||
|
||||
impl Agent {
|
||||
/// Performs a single interaction "turn" with the agent.
|
||||
///
|
||||
/// This is the core logic that takes user input, manages the history,
|
||||
/// calls the LLM, handles tool calls (up to `max_tool_iterations`),
|
||||
/// and returns the final assistant response.
|
||||
pub async fn turn(&mut self, user_message: &str) -> Result<String> {
|
||||
let turn_started = std::time::Instant::now();
|
||||
log::info!(
|
||||
"[agent_loop] turn start message_chars={} history_len={} max_tool_iterations={}",
|
||||
user_message.chars().count(),
|
||||
self.history.len(),
|
||||
self.config.max_tool_iterations
|
||||
);
|
||||
if self.history.is_empty() {
|
||||
// Learned context is only baked into the system prompt on the
|
||||
// very first turn — once the history is non-empty we reuse the
|
||||
// stored prompt verbatim to preserve the KV-cache prefix the
|
||||
// inference backend has already tokenised. Fetching it later
|
||||
// would just burn memory-store reads on data we throw away.
|
||||
let learned = self.fetch_learned_context().await;
|
||||
let system_prompt = self.build_system_prompt(learned)?;
|
||||
log::info!(
|
||||
"[agent_loop] system prompt built chars={}",
|
||||
system_prompt.chars().count()
|
||||
);
|
||||
log::debug!("[agent_loop] system prompt body:\n{system_prompt}");
|
||||
self.history
|
||||
.push(ConversationMessage::Chat(ChatMessage::system(
|
||||
system_prompt,
|
||||
)));
|
||||
} else {
|
||||
// Deliberately do NOT rebuild the system prompt on subsequent
|
||||
// turns. The rendered prompt is the KV-cache prefix the inference
|
||||
// backend has already tokenised; replacing its bytes (even
|
||||
// cosmetically) forces the backend to re-prefill from scratch.
|
||||
//
|
||||
// Dynamic turn-to-turn context (memory recall, learned snippets)
|
||||
// rides on the user message via `memory_loader.load_context()`
|
||||
// — that's where the caller should inject anything that varies
|
||||
// between turns.
|
||||
log::trace!(
|
||||
"[agent_loop] system prompt reused (history_len={}) — KV cache prefix preserved",
|
||||
self.history.len()
|
||||
);
|
||||
}
|
||||
|
||||
if self.auto_save {
|
||||
let _ = self
|
||||
.memory
|
||||
.store("user_msg", user_message, MemoryCategory::Conversation, None)
|
||||
.await;
|
||||
}
|
||||
|
||||
let context = self
|
||||
.memory_loader
|
||||
.load_context(self.memory.as_ref(), user_message)
|
||||
.await
|
||||
.unwrap_or_default();
|
||||
|
||||
let enriched = if context.is_empty() {
|
||||
user_message.to_string()
|
||||
} else {
|
||||
format!("{context}{user_message}")
|
||||
};
|
||||
|
||||
self.history
|
||||
.push(ConversationMessage::Chat(ChatMessage::user(enriched)));
|
||||
|
||||
// Pin the main agent to its configured model for the lifetime of
|
||||
// the session. Per-turn classification used to run here, but it
|
||||
// would flip `effective_model` mid-conversation (e.g. reasoning →
|
||||
// coding based on a single keyword). Every flip invalidates the
|
||||
// backend's KV cache namespace for this session, costing full
|
||||
// re-prefill on the very next turn. The main agent's job is to
|
||||
// decide *which sub-agent* to spawn — that routing lives in the
|
||||
// model prompt, not in the Rust-side classifier. Sub-agents pick
|
||||
// their own tier via `ModelSpec::Hint(...)` in their definition.
|
||||
let effective_model = self.model_name.clone();
|
||||
log::info!(
|
||||
"[agent_loop] model pinned model={} (per-turn classification disabled for KV cache stability)",
|
||||
effective_model
|
||||
);
|
||||
|
||||
// Snapshot the parent's runtime once per turn so any
|
||||
// `spawn_subagent` invocation that fires inside this turn can
|
||||
// read it via the PARENT_CONTEXT task-local. We override the
|
||||
// model field with the post-classification effective model.
|
||||
let mut parent_context = self.build_parent_execution_context();
|
||||
parent_context.model_name = effective_model.clone();
|
||||
|
||||
// Bump the session-memory turn counter. Used later by
|
||||
// `should_extract_session_memory` to decide whether to spawn a
|
||||
// background archivist fork at end-of-turn.
|
||||
self.context_pipeline.tick_turn();
|
||||
|
||||
// Collect tool call records across all iterations for post-turn hooks
|
||||
let mut all_tool_records: Vec<ToolCallRecord> = Vec::new();
|
||||
|
||||
let turn_body = async {
|
||||
for iteration in 0..self.config.max_tool_iterations {
|
||||
log::info!(
|
||||
"[agent_loop] iteration start i={} history_len={}",
|
||||
iteration + 1,
|
||||
self.history.len()
|
||||
);
|
||||
|
||||
// Context pipeline stages 3 & 4: run the reduction
|
||||
// chain before every provider hit. Microcompact fires
|
||||
// when the guard reports we're above the soft threshold
|
||||
// and there are older tool results to clear; otherwise
|
||||
// we log an autocompaction signal (openhuman's
|
||||
// compactor lives in `loop_/history.rs` and operates on
|
||||
// the `ChatMessage` shape, so for now the
|
||||
// `ConversationMessage`-shaped Agent path lets the
|
||||
// signal bubble up as telemetry until a native
|
||||
// summariser lands).
|
||||
let outcome = self.context_pipeline.run_before_call(&mut self.history);
|
||||
match &outcome {
|
||||
context_pipeline::PipelineOutcome::NoOp => {}
|
||||
context_pipeline::PipelineOutcome::Microcompacted(stats) => {
|
||||
log::info!(
|
||||
"[agent_loop] context_pipeline microcompact i={} envelopes={} entries={} bytes_freed={}",
|
||||
iteration + 1,
|
||||
stats.envelopes_cleared,
|
||||
stats.entries_cleared,
|
||||
stats.bytes_freed
|
||||
);
|
||||
}
|
||||
context_pipeline::PipelineOutcome::AutocompactionRequested {
|
||||
utilisation_pct,
|
||||
} => {
|
||||
log::warn!(
|
||||
"[agent_loop] context_pipeline autocompaction requested i={} utilisation_pct={}",
|
||||
iteration + 1,
|
||||
utilisation_pct
|
||||
);
|
||||
}
|
||||
context_pipeline::PipelineOutcome::ContextExhausted {
|
||||
utilisation_pct,
|
||||
reason,
|
||||
} => {
|
||||
log::error!(
|
||||
"[agent_loop] context_pipeline context exhausted i={} utilisation_pct={} reason={}",
|
||||
iteration + 1,
|
||||
utilisation_pct,
|
||||
reason
|
||||
);
|
||||
return Err(anyhow::anyhow!(
|
||||
"Context window exhausted ({utilisation_pct}% full): {reason}"
|
||||
));
|
||||
}
|
||||
}
|
||||
|
||||
let messages = self.tool_dispatcher.to_provider_messages(&self.history);
|
||||
log::info!(
|
||||
"[agent_loop] provider request i={} messages={} send_tool_specs={}",
|
||||
iteration + 1,
|
||||
messages.len(),
|
||||
self.tool_dispatcher.should_send_tool_specs()
|
||||
);
|
||||
let provider_started = std::time::Instant::now();
|
||||
let response = match self
|
||||
.provider
|
||||
.chat(
|
||||
ChatRequest {
|
||||
messages: &messages,
|
||||
tools: if self.tool_dispatcher.should_send_tool_specs() {
|
||||
Some(self.tool_specs.as_slice())
|
||||
} else {
|
||||
None
|
||||
},
|
||||
system_prompt_cache_boundary: None,
|
||||
},
|
||||
&effective_model,
|
||||
self.temperature,
|
||||
)
|
||||
.await
|
||||
{
|
||||
Ok(resp) => {
|
||||
log::info!(
|
||||
"[agent_loop] provider response i={} elapsed_ms={} text_chars={} native_tool_calls={}",
|
||||
iteration + 1,
|
||||
provider_started.elapsed().as_millis(),
|
||||
resp.text.as_ref().map_or(0, |t| t.chars().count()),
|
||||
resp.tool_calls.len()
|
||||
);
|
||||
log::debug!("[agent_loop] provider response: {resp:?}");
|
||||
// Feed the context pipeline (guard +
|
||||
// session-memory token accounting). No-op when
|
||||
// the provider doesn't return usage.
|
||||
if let Some(ref usage) = resp.usage {
|
||||
self.context_pipeline.record_usage(usage);
|
||||
}
|
||||
resp
|
||||
}
|
||||
Err(err) => return Err(err),
|
||||
};
|
||||
|
||||
let (text, calls) = self.tool_dispatcher.parse_response(&response);
|
||||
let calls = Self::with_fallback_tool_call_ids(calls, iteration);
|
||||
log::info!(
|
||||
"[agent_loop] parsed response i={} parsed_text_chars={} parsed_tool_calls={}",
|
||||
iteration + 1,
|
||||
text.chars().count(),
|
||||
calls.len()
|
||||
);
|
||||
if calls.is_empty() {
|
||||
let final_text = if text.is_empty() {
|
||||
response.text.unwrap_or_default()
|
||||
} else {
|
||||
text
|
||||
};
|
||||
log::info!(
|
||||
"[agent_loop] final response i={} final_chars={}",
|
||||
iteration + 1,
|
||||
final_text.chars().count()
|
||||
);
|
||||
|
||||
self.history
|
||||
.push(ConversationMessage::Chat(ChatMessage::assistant(
|
||||
final_text.clone(),
|
||||
)));
|
||||
self.trim_history();
|
||||
|
||||
if self.auto_save {
|
||||
let summary = truncate_with_ellipsis(&final_text, 100);
|
||||
let _ = self
|
||||
.memory
|
||||
.store("assistant_resp", &summary, MemoryCategory::Daily, None)
|
||||
.await;
|
||||
}
|
||||
|
||||
// Session-memory tool-call accounting. The actual
|
||||
// background extraction spawn happens *outside*
|
||||
// `turn_body` so the spawned task can take an owned
|
||||
// parent context without fighting the borrow
|
||||
// checker against `self`. We capture the decision
|
||||
// here and surface it via the pipeline state — the
|
||||
// epilogue (below) reads `should_extract_session_memory()`.
|
||||
self.context_pipeline
|
||||
.record_tool_calls(all_tool_records.len());
|
||||
|
||||
// Fire post-turn hooks (non-blocking)
|
||||
if !self.post_turn_hooks.is_empty() {
|
||||
let ctx = TurnContext {
|
||||
user_message: user_message.to_string(),
|
||||
assistant_response: final_text.clone(),
|
||||
tool_calls: all_tool_records,
|
||||
turn_duration_ms: turn_started.elapsed().as_millis() as u64,
|
||||
session_id: None,
|
||||
iteration_count: iteration + 1,
|
||||
};
|
||||
hooks::fire_hooks(&self.post_turn_hooks, ctx);
|
||||
}
|
||||
|
||||
return Ok(final_text);
|
||||
}
|
||||
|
||||
if !text.is_empty() {
|
||||
log::info!(
|
||||
"[agent_loop] assistant pre-tool text i={} chars={}",
|
||||
iteration + 1,
|
||||
text.chars().count()
|
||||
);
|
||||
// Push the assistant text into history; rendering is
|
||||
// the caller's responsibility (the CLI loop walks
|
||||
// `agent.history()` after each turn, sub-agents and
|
||||
// library consumers get whatever they need through
|
||||
// the returned value / history accessors).
|
||||
self.history
|
||||
.push(ConversationMessage::Chat(ChatMessage::assistant(
|
||||
text.clone(),
|
||||
)));
|
||||
}
|
||||
let tool_names: Vec<&str> = calls.iter().map(|call| call.name.as_str()).collect();
|
||||
log::info!(
|
||||
"[agent_loop] executing tools i={} names={:?}",
|
||||
iteration + 1,
|
||||
tool_names
|
||||
);
|
||||
let persisted_tool_calls =
|
||||
Self::persisted_tool_calls_for_history(&response, &calls, iteration);
|
||||
log::info!(
|
||||
"[agent_loop] persisting assistant tool calls i={} persisted_tool_calls={} parsed_tool_calls={}",
|
||||
iteration + 1,
|
||||
persisted_tool_calls.len(),
|
||||
calls.len()
|
||||
);
|
||||
self.history.push(ConversationMessage::AssistantToolCalls {
|
||||
text: if text.is_empty() {
|
||||
None
|
||||
} else {
|
||||
Some(text.clone())
|
||||
},
|
||||
tool_calls: persisted_tool_calls,
|
||||
});
|
||||
|
||||
let (results, records) = self.execute_tools(&calls).await;
|
||||
all_tool_records.extend(records);
|
||||
log::info!(
|
||||
"[agent_loop] tool results complete i={} result_count={}",
|
||||
iteration + 1,
|
||||
results.len()
|
||||
);
|
||||
let formatted = self.tool_dispatcher.format_results(&results);
|
||||
self.history.push(formatted);
|
||||
self.trim_history();
|
||||
log::info!(
|
||||
"[agent_loop] iteration end i={} history_len={}",
|
||||
iteration + 1,
|
||||
self.history.len()
|
||||
);
|
||||
}
|
||||
|
||||
log::warn!(
|
||||
"[agent_loop] exceeded maximum tool iterations max={}",
|
||||
self.config.max_tool_iterations
|
||||
);
|
||||
anyhow::bail!(
|
||||
"Agent exceeded maximum tool iterations ({})",
|
||||
self.config.max_tool_iterations
|
||||
)
|
||||
}; // end of `turn_body` async block
|
||||
|
||||
// Run the turn body inside the parent-execution-context scope so
|
||||
// that any `spawn_subagent` tool call fired during the loop can
|
||||
// read the parent's provider, tools, model, and workspace via
|
||||
// the PARENT_CONTEXT task-local.
|
||||
let result = harness::with_parent_context(parent_context, turn_body).await;
|
||||
|
||||
// ── Session-memory extraction (stage 5) ───────────────────────
|
||||
//
|
||||
// If the pipeline's deltas have crossed all three thresholds
|
||||
// (token growth, tool calls, turn count), spawn a *background*
|
||||
// archivist sub-agent that will distil durable facts into the
|
||||
// workspace MEMORY.md file via the `update_memory_md` tool.
|
||||
//
|
||||
// The spawn is fire-and-forget: the main turn returns the
|
||||
// user-visible response immediately, and the archivist runs
|
||||
// asynchronously on the `agentic` tier. We optimistically mark
|
||||
// the extraction complete right away — if it actually fails,
|
||||
// we'll just retry on the next threshold window (a few turns
|
||||
// later), which is the right amount of retry behaviour for a
|
||||
// librarian task that's idempotent across reruns.
|
||||
if result.is_ok() && self.context_pipeline.should_extract_session_memory() {
|
||||
self.spawn_session_memory_extraction();
|
||||
}
|
||||
|
||||
result
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────
|
||||
// Per-call tool execution
|
||||
// ─────────────────────────────────────────────────────────────────
|
||||
|
||||
/// Executes a single tool call and returns the result and execution record.
|
||||
pub(super) async fn execute_tool_call(
|
||||
&self,
|
||||
call: &ParsedToolCall,
|
||||
) -> (ToolExecutionResult, ToolCallRecord) {
|
||||
let started = std::time::Instant::now();
|
||||
publish_global(DomainEvent::ToolExecutionStarted {
|
||||
tool_name: call.name.clone(),
|
||||
session_id: self.event_session_id().to_string(),
|
||||
});
|
||||
log::info!("[agent_loop] tool start name={}", call.name);
|
||||
|
||||
// Special-case `spawn_subagent { mode: "fork", … }`: stash a
|
||||
// ForkContext task-local so the sub-agent runner can replay the
|
||||
// parent's exact rendered prompt + tool schemas + message prefix
|
||||
// for backend prefix-cache reuse. The branch is taken before
|
||||
// executing the tool so the task-local is visible inside
|
||||
// `tool.execute(...)`.
|
||||
let fork_context_for_call = if call.name == "spawn_subagent"
|
||||
&& call
|
||||
.arguments
|
||||
.get("mode")
|
||||
.and_then(|v| v.as_str())
|
||||
.map(|s| s.eq_ignore_ascii_case("fork"))
|
||||
.unwrap_or(false)
|
||||
{
|
||||
Some(self.build_fork_context(call))
|
||||
} else {
|
||||
None
|
||||
};
|
||||
|
||||
let (raw_result, success) =
|
||||
if let Some(tool) = self.tools.iter().find(|t| t.name() == call.name) {
|
||||
let exec = tool.execute(call.arguments.clone());
|
||||
let outcome = if let Some(fork_ctx) = fork_context_for_call {
|
||||
harness::with_fork_context(fork_ctx, exec).await
|
||||
} else {
|
||||
exec.await
|
||||
};
|
||||
match outcome {
|
||||
Ok(r) => {
|
||||
if !r.is_error {
|
||||
(r.output(), true)
|
||||
} else {
|
||||
(format!("Error: {}", r.output()), false)
|
||||
}
|
||||
}
|
||||
Err(e) => (format!("Error executing {}: {e}", call.name), false),
|
||||
}
|
||||
} else {
|
||||
(format!("Unknown tool: {}", call.name), false)
|
||||
};
|
||||
|
||||
// Context pipeline stage 1: apply the per-result byte budget
|
||||
// *inline* before the result enters history. This is the only
|
||||
// cache-safe reduction stage — the truncated body has never
|
||||
// been sent to the backend so it creates no cache invalidation.
|
||||
let budget_bytes = self.config.tool_result_budget_bytes;
|
||||
let (result, budget_outcome) =
|
||||
context_pipeline::apply_tool_result_budget(raw_result, budget_bytes);
|
||||
if budget_outcome.truncated {
|
||||
log::info!(
|
||||
"[agent_loop] tool_result_budget applied name={} original_bytes={} final_bytes={} dropped_bytes={}",
|
||||
call.name,
|
||||
budget_outcome.original_bytes,
|
||||
budget_outcome.final_bytes,
|
||||
budget_outcome.original_bytes - budget_outcome.final_bytes
|
||||
);
|
||||
}
|
||||
|
||||
let elapsed_ms = started.elapsed().as_millis() as u64;
|
||||
publish_global(DomainEvent::ToolExecutionCompleted {
|
||||
tool_name: call.name.clone(),
|
||||
session_id: self.event_session_id().to_string(),
|
||||
success,
|
||||
elapsed_ms,
|
||||
});
|
||||
log::info!(
|
||||
"[agent_loop] tool finish name={} elapsed_ms={} output_chars={} success={}",
|
||||
call.name,
|
||||
elapsed_ms,
|
||||
result.chars().count(),
|
||||
success
|
||||
);
|
||||
|
||||
let output_summary = hooks::sanitize_tool_output(&result, &call.name, success);
|
||||
|
||||
let record = ToolCallRecord {
|
||||
name: call.name.clone(),
|
||||
arguments: call.arguments.clone(),
|
||||
success,
|
||||
output_summary,
|
||||
duration_ms: elapsed_ms,
|
||||
};
|
||||
|
||||
let exec_result = ToolExecutionResult {
|
||||
name: call.name.clone(),
|
||||
output: result,
|
||||
success,
|
||||
tool_call_id: call.tool_call_id.clone(),
|
||||
};
|
||||
|
||||
(exec_result, record)
|
||||
}
|
||||
|
||||
/// Executes multiple tool calls in sequence.
|
||||
pub(super) async fn execute_tools(
|
||||
&self,
|
||||
calls: &[ParsedToolCall],
|
||||
) -> (Vec<ToolExecutionResult>, Vec<ToolCallRecord>) {
|
||||
let mut results = Vec::with_capacity(calls.len());
|
||||
let mut records = Vec::with_capacity(calls.len());
|
||||
for call in calls {
|
||||
let (exec_result, record) = self.execute_tool_call(call).await;
|
||||
results.push(exec_result);
|
||||
records.push(record);
|
||||
}
|
||||
(results, records)
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────
|
||||
// Sub-agent context snapshots
|
||||
// ─────────────────────────────────────────────────────────────────
|
||||
|
||||
/// Snapshot the parent's runtime so spawned sub-agents can read
|
||||
/// it via the [`harness::PARENT_CONTEXT`] task-local.
|
||||
pub(super) fn build_parent_execution_context(&self) -> harness::ParentExecutionContext {
|
||||
harness::ParentExecutionContext {
|
||||
provider: Arc::clone(&self.provider),
|
||||
all_tools: Arc::clone(&self.tools),
|
||||
all_tool_specs: Arc::clone(&self.tool_specs),
|
||||
model_name: self.model_name.clone(),
|
||||
temperature: self.temperature,
|
||||
workspace_dir: self.workspace_dir.clone(),
|
||||
memory: Arc::clone(&self.memory),
|
||||
agent_config: self.config.clone(),
|
||||
identity_config: self.identity_config.clone(),
|
||||
skills: Arc::new(self.skills.clone()),
|
||||
session_id: self.event_session_id().to_string(),
|
||||
channel: self.event_channel().to_string(),
|
||||
}
|
||||
}
|
||||
|
||||
/// Build a [`harness::ForkContext`] capturing the parent's
|
||||
/// rendered system prompt + tool schemas + message prefix at the
|
||||
/// moment a `spawn_subagent { mode: "fork", … }` call fires.
|
||||
///
|
||||
/// The system prompt is pulled from `history[0]` (the agent always
|
||||
/// stores its rendered system prompt as the first message). The
|
||||
/// message prefix is the entire current history rendered through
|
||||
/// the dispatcher — the *same* sequence the parent's next call
|
||||
/// would send, except the new fork directive replaces the parent's
|
||||
/// next continuation.
|
||||
pub(super) fn build_fork_context(&self, call: &ParsedToolCall) -> harness::ForkContext {
|
||||
let messages = self.tool_dispatcher.to_provider_messages(&self.history);
|
||||
let system_prompt: String = messages
|
||||
.first()
|
||||
.filter(|m| m.role == "system")
|
||||
.map(|m| m.content.clone())
|
||||
.unwrap_or_default();
|
||||
|
||||
let fork_task_prompt = call
|
||||
.arguments
|
||||
.get("prompt")
|
||||
.and_then(|v| v.as_str())
|
||||
.unwrap_or_default()
|
||||
.to_string();
|
||||
|
||||
harness::ForkContext {
|
||||
system_prompt: Arc::new(system_prompt),
|
||||
tool_specs: Arc::clone(&self.tool_specs),
|
||||
message_prefix: Arc::new(messages),
|
||||
cache_boundary: None,
|
||||
fork_task_prompt,
|
||||
}
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────
|
||||
// History & prompt helpers
|
||||
// ─────────────────────────────────────────────────────────────────
|
||||
|
||||
/// Truncates the conversation history to the configured maximum message count.
|
||||
///
|
||||
/// System messages are always preserved. Older non-system messages are
|
||||
/// dropped first.
|
||||
pub(super) fn trim_history(&mut self) {
|
||||
let max = self.config.max_history_messages;
|
||||
if self.history.len() <= max {
|
||||
return;
|
||||
}
|
||||
|
||||
let mut system_messages = Vec::new();
|
||||
let mut other_messages = Vec::new();
|
||||
|
||||
for msg in self.history.drain(..) {
|
||||
match &msg {
|
||||
ConversationMessage::Chat(chat) if chat.role == "system" => {
|
||||
system_messages.push(msg);
|
||||
}
|
||||
_ => other_messages.push(msg),
|
||||
}
|
||||
}
|
||||
|
||||
if other_messages.len() > max {
|
||||
let drop_count = other_messages.len() - max;
|
||||
other_messages.drain(0..drop_count);
|
||||
}
|
||||
|
||||
self.history = system_messages;
|
||||
self.history.extend(other_messages);
|
||||
}
|
||||
|
||||
/// Pre-fetches learned context data from memory (observations, patterns, user profile).
|
||||
///
|
||||
/// This is an async, non-blocking operation that populates the context
|
||||
/// for the system prompt.
|
||||
pub(super) async fn fetch_learned_context(&self) -> LearnedContextData {
|
||||
if !self.learning_enabled {
|
||||
return LearnedContextData::default();
|
||||
}
|
||||
|
||||
let obs_entries = self
|
||||
.memory
|
||||
.list(
|
||||
Some(&MemoryCategory::Custom("learning_observations".into())),
|
||||
None,
|
||||
)
|
||||
.await
|
||||
.unwrap_or_default();
|
||||
|
||||
let pat_entries = self
|
||||
.memory
|
||||
.list(
|
||||
Some(&MemoryCategory::Custom("learning_patterns".into())),
|
||||
None,
|
||||
)
|
||||
.await
|
||||
.unwrap_or_default();
|
||||
|
||||
let profile_entries = self
|
||||
.memory
|
||||
.list(Some(&MemoryCategory::Custom("user_profile".into())), None)
|
||||
.await
|
||||
.unwrap_or_default();
|
||||
|
||||
LearnedContextData {
|
||||
observations: obs_entries
|
||||
.iter()
|
||||
.rev()
|
||||
.take(5)
|
||||
.map(|e| sanitize_learned_entry(&e.content))
|
||||
.collect(),
|
||||
patterns: pat_entries
|
||||
.iter()
|
||||
.take(3)
|
||||
.map(|e| sanitize_learned_entry(&e.content))
|
||||
.collect(),
|
||||
user_profile: profile_entries
|
||||
.iter()
|
||||
.take(20)
|
||||
.map(|e| sanitize_learned_entry(&e.content))
|
||||
.collect(),
|
||||
}
|
||||
}
|
||||
|
||||
/// Builds the system prompt for the current turn, including tool
|
||||
/// instructions and learned context.
|
||||
pub(super) fn build_system_prompt(&self, learned: LearnedContextData) -> Result<String> {
|
||||
let tools_slice: &[Box<dyn Tool>] = self.tools.as_slice();
|
||||
let instructions = self.tool_dispatcher.prompt_instructions(tools_slice);
|
||||
let ctx = PromptContext {
|
||||
workspace_dir: &self.workspace_dir,
|
||||
model_name: &self.model_name,
|
||||
tools: tools_slice,
|
||||
skills: &self.skills,
|
||||
identity_config: Some(&self.identity_config),
|
||||
dispatcher_instructions: &instructions,
|
||||
learned,
|
||||
};
|
||||
self.prompt_builder.build(&ctx)
|
||||
}
|
||||
|
||||
/// Classifies the user message to determine if a specific model hint should be used.
|
||||
///
|
||||
/// Currently unused by `turn()` — we pin the main agent to its configured
|
||||
/// model for KV-cache stability (see the rationale in `turn()` where
|
||||
/// `effective_model` is set). Kept around because the classifier config
|
||||
/// is still surfaced via `AgentBuilder::classification_config` and
|
||||
/// external callers (e.g. eval harnesses) may want to probe it directly.
|
||||
#[allow(dead_code)]
|
||||
pub(super) fn classify_model(&self, user_message: &str) -> String {
|
||||
if let Some(hint) =
|
||||
crate::openhuman::agent::classifier::classify(&self.classification_config, user_message)
|
||||
{
|
||||
if self.available_hints.contains(&hint) {
|
||||
tracing::info!(hint = hint.as_str(), "Auto-classified query");
|
||||
return format!("hint:{hint}");
|
||||
}
|
||||
}
|
||||
self.model_name.clone()
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────
|
||||
// Session-memory extraction (stage 5 of the context pipeline)
|
||||
// ─────────────────────────────────────────────────────────────────
|
||||
|
||||
/// Spawn a background archivist sub-agent to extract durable facts
|
||||
/// from the recent conversation into `MEMORY.md`. Fire-and-forget.
|
||||
///
|
||||
/// Gated by [`context_pipeline::SessionMemoryState::should_extract`]
|
||||
/// — see its docs for the threshold invariants. Safe to call from
|
||||
/// inside `turn()` after the turn body has settled.
|
||||
pub(super) fn spawn_session_memory_extraction(&mut self) {
|
||||
let Some(registry) = harness::AgentDefinitionRegistry::global() else {
|
||||
log::debug!("[session_memory] registry not initialised — skipping extraction spawn");
|
||||
return;
|
||||
};
|
||||
let Some(definition) = registry.get("archivist").cloned() else {
|
||||
log::debug!(
|
||||
"[session_memory] archivist definition not found — skipping extraction spawn"
|
||||
);
|
||||
return;
|
||||
};
|
||||
|
||||
// Build a dedicated ParentExecutionContext for the background
|
||||
// task. The in-progress turn's context has already been
|
||||
// consumed by the `with_parent_context` scope above, so this is
|
||||
// a fresh snapshot.
|
||||
let parent_ctx = self.build_parent_execution_context();
|
||||
let extraction_prompt = context_pipeline::ARCHIVIST_EXTRACTION_PROMPT.to_string();
|
||||
|
||||
// Optimistically flip the extraction state to "complete" right
|
||||
// away: we don't need a channel back from the background task
|
||||
// because a failed extraction is idempotent — it will just be
|
||||
// retried after the next threshold crossing. `mark_extraction_complete`
|
||||
// also clears the `extraction_in_progress` flag, so calling it
|
||||
// alone covers both bookkeeping steps.
|
||||
self.context_pipeline
|
||||
.session_memory
|
||||
.mark_extraction_complete();
|
||||
|
||||
log::info!(
|
||||
"[session_memory] spawning background archivist extraction (turn={}, tokens={})",
|
||||
self.context_pipeline.session_memory.current_turn,
|
||||
self.context_pipeline.session_memory.total_tokens
|
||||
);
|
||||
|
||||
tokio::spawn(async move {
|
||||
let options = harness::SubagentRunOptions::default();
|
||||
let fut = harness::run_subagent(&definition, &extraction_prompt, options);
|
||||
let result = harness::with_parent_context(parent_ctx, fut).await;
|
||||
match result {
|
||||
Ok(outcome) => tracing::info!(
|
||||
agent_id = %outcome.agent_id,
|
||||
task_id = %outcome.task_id,
|
||||
iterations = outcome.iterations,
|
||||
output_chars = outcome.output.chars().count(),
|
||||
"[session_memory] archivist extraction completed"
|
||||
),
|
||||
Err(err) => tracing::warn!(
|
||||
error = %err,
|
||||
"[session_memory] archivist extraction failed — will retry after next threshold crossing"
|
||||
),
|
||||
}
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
/// Sanitize a learned memory entry before injecting into the system prompt.
|
||||
/// Strips raw data, limits length, and removes potential secrets.
|
||||
fn sanitize_learned_entry(content: &str) -> String {
|
||||
let trimmed = content.trim();
|
||||
if trimmed.is_empty() {
|
||||
return String::new();
|
||||
}
|
||||
// Truncate to a safe length
|
||||
let max_len = 200;
|
||||
let sanitized: String = trimmed.chars().take(max_len).collect();
|
||||
// Strip anything that looks like a secret/token
|
||||
if sanitized.contains("Bearer ")
|
||||
|| sanitized.contains("sk-")
|
||||
|| sanitized.contains("ghp_")
|
||||
|| sanitized.contains("-----BEGIN")
|
||||
{
|
||||
return "[redacted: potential secret]".to_string();
|
||||
}
|
||||
sanitized
|
||||
}
|
||||
@@ -0,0 +1,83 @@
|
||||
//! `Agent` and `AgentBuilder` struct definitions.
|
||||
//!
|
||||
//! The data shapes live here, separate from their behaviour, so the
|
||||
//! rest of the sub-module (`builder.rs`, `turn.rs`, `runtime.rs`) can
|
||||
//! focus on logic. Fields are `pub(super)` so sibling files that
|
||||
//! `impl Agent`/`impl AgentBuilder` can see them without the whole
|
||||
//! crate gaining field access.
|
||||
|
||||
use crate::openhuman::agent::context_pipeline::ContextPipeline;
|
||||
use crate::openhuman::agent::dispatcher::ToolDispatcher;
|
||||
use crate::openhuman::agent::hooks::PostTurnHook;
|
||||
use crate::openhuman::agent::memory_loader::MemoryLoader;
|
||||
use crate::openhuman::agent::prompt::SystemPromptBuilder;
|
||||
use crate::openhuman::memory::Memory;
|
||||
use crate::openhuman::providers::{ConversationMessage, Provider};
|
||||
use crate::openhuman::tools::{Tool, ToolSpec};
|
||||
use std::sync::Arc;
|
||||
|
||||
/// An autonomous or semi-autonomous AI agent.
|
||||
///
|
||||
/// The `Agent` is the central component that manages conversation state,
|
||||
/// executes tools based on model requests, and interacts with the memory
|
||||
/// system to maintain context across turns.
|
||||
pub struct Agent {
|
||||
pub(super) provider: Arc<dyn Provider>,
|
||||
pub(super) tools: Arc<Vec<Box<dyn Tool>>>,
|
||||
pub(super) tool_specs: Arc<Vec<ToolSpec>>,
|
||||
pub(super) memory: Arc<dyn Memory>,
|
||||
pub(super) prompt_builder: SystemPromptBuilder,
|
||||
pub(super) tool_dispatcher: Box<dyn ToolDispatcher>,
|
||||
pub(super) memory_loader: Box<dyn MemoryLoader>,
|
||||
pub(super) config: crate::openhuman::config::AgentConfig,
|
||||
pub(super) model_name: String,
|
||||
pub(super) temperature: f64,
|
||||
pub(super) workspace_dir: std::path::PathBuf,
|
||||
pub(super) identity_config: crate::openhuman::config::IdentityConfig,
|
||||
pub(super) skills: Vec<crate::openhuman::skills::Skill>,
|
||||
pub(super) auto_save: bool,
|
||||
pub(super) history: Vec<ConversationMessage>,
|
||||
pub(super) classification_config: crate::openhuman::config::QueryClassificationConfig,
|
||||
pub(super) available_hints: Vec<String>,
|
||||
pub(super) post_turn_hooks: Vec<Arc<dyn PostTurnHook>>,
|
||||
pub(super) learning_enabled: bool,
|
||||
pub(super) event_session_id: String,
|
||||
pub(super) event_channel: String,
|
||||
/// Layered context reduction pipeline (tool-result budget →
|
||||
/// microcompact → autocompact signal → session-memory extraction
|
||||
/// trigger). Owned by the agent so its state (token counters,
|
||||
/// session-memory extraction deltas, compaction circuit breaker)
|
||||
/// persists across turns. See
|
||||
/// [`crate::openhuman::agent::context_pipeline`] for the stage
|
||||
/// ordering and cache-safety contract.
|
||||
pub(super) context_pipeline: ContextPipeline,
|
||||
}
|
||||
|
||||
/// A builder for creating `Agent` instances with custom configuration.
|
||||
pub struct AgentBuilder {
|
||||
pub(super) provider: Option<Arc<dyn Provider>>,
|
||||
pub(super) tools: Option<Vec<Box<dyn Tool>>>,
|
||||
pub(super) memory: Option<Arc<dyn Memory>>,
|
||||
pub(super) prompt_builder: Option<SystemPromptBuilder>,
|
||||
pub(super) tool_dispatcher: Option<Box<dyn ToolDispatcher>>,
|
||||
pub(super) memory_loader: Option<Box<dyn MemoryLoader>>,
|
||||
pub(super) config: Option<crate::openhuman::config::AgentConfig>,
|
||||
pub(super) model_name: Option<String>,
|
||||
pub(super) temperature: Option<f64>,
|
||||
pub(super) workspace_dir: Option<std::path::PathBuf>,
|
||||
pub(super) identity_config: Option<crate::openhuman::config::IdentityConfig>,
|
||||
pub(super) skills: Option<Vec<crate::openhuman::skills::Skill>>,
|
||||
pub(super) auto_save: Option<bool>,
|
||||
pub(super) classification_config: Option<crate::openhuman::config::QueryClassificationConfig>,
|
||||
pub(super) available_hints: Option<Vec<String>>,
|
||||
pub(super) post_turn_hooks: Vec<Arc<dyn PostTurnHook>>,
|
||||
pub(super) learning_enabled: bool,
|
||||
pub(super) event_session_id: Option<String>,
|
||||
pub(super) event_channel: Option<String>,
|
||||
}
|
||||
|
||||
impl Default for AgentBuilder {
|
||||
fn default() -> Self {
|
||||
Self::new()
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,266 @@
|
||||
//! Stage 3: Microcompact.
|
||||
//!
|
||||
//! Microcompact is the cheap summarisation substitute. It does **not**
|
||||
//! generate prose summaries — instead it walks the history and replaces
|
||||
//! the payload of older `ToolResults` envelopes with a short placeholder
|
||||
//! string. The envelope itself is preserved so the API invariant
|
||||
//! `AssistantToolCalls ⇔ ToolResults` holds and the provider still
|
||||
//! accepts the next request.
|
||||
//!
|
||||
//! OpenHuman's inference backend does automatic prefix caching, so we
|
||||
//! skip any cache-editing dance and go straight to the placeholder
|
||||
//! strategy: overwrite the old bodies in place, let the backend
|
||||
//! re-prefill once, and let the next turn pick up the new (smaller)
|
||||
//! cache target.
|
||||
//!
|
||||
//! # Cache implications
|
||||
//!
|
||||
//! Microcompact mutates bytes that were previously sent to the backend,
|
||||
//! so it **deliberately invalidates the KV-cache prefix** for this
|
||||
//! session. The upside is that the new, smaller prefix becomes the next
|
||||
//! stable cache target, so subsequent turns hit the cache again. This
|
||||
//! stage is therefore only run when the next provider call would
|
||||
//! otherwise be too large to fit — the pipeline orchestrator handles
|
||||
//! gating.
|
||||
|
||||
use crate::openhuman::providers::ConversationMessage;
|
||||
|
||||
/// Placeholder used in place of cleared tool-result bodies. Must be
|
||||
/// stable across versions so callers can pattern-match on it for
|
||||
/// telemetry / diff tests. Keep it short — the whole point is to free
|
||||
/// tokens.
|
||||
pub const CLEARED_PLACEHOLDER: &str = "[Old tool result content cleared]";
|
||||
|
||||
/// Default number of most-recent `ToolResults` envelopes to leave
|
||||
/// intact — the N most recent tool results are kept hot so the model
|
||||
/// can still reason about them.
|
||||
pub const DEFAULT_KEEP_RECENT_TOOL_RESULTS: usize = 5;
|
||||
|
||||
/// Summary of what a single microcompact pass changed.
|
||||
#[derive(Debug, Clone, Copy, Default, PartialEq, Eq)]
|
||||
pub struct MicrocompactStats {
|
||||
/// Number of `ToolResults` envelopes whose bodies were cleared.
|
||||
pub envelopes_cleared: usize,
|
||||
/// Number of individual tool-result entries within those envelopes
|
||||
/// whose `content` was replaced.
|
||||
pub entries_cleared: usize,
|
||||
/// Bytes freed from the rendered conversation (approximate — counts
|
||||
/// the `content` string length diff only).
|
||||
pub bytes_freed: usize,
|
||||
}
|
||||
|
||||
/// Walk `history` and clear the payload of every `ToolResults` envelope
|
||||
/// except the `keep_recent` most recent ones. Returns a summary of the
|
||||
/// changes.
|
||||
///
|
||||
/// The clearing is idempotent: running the pass twice on the same
|
||||
/// history is a no-op on the second call because the already-cleared
|
||||
/// entries will match `CLEARED_PLACEHOLDER` and be skipped.
|
||||
pub fn microcompact(history: &mut [ConversationMessage], keep_recent: usize) -> MicrocompactStats {
|
||||
// First sweep: find the indices of every `ToolResults` envelope.
|
||||
let mut tool_result_indices: Vec<usize> = history
|
||||
.iter()
|
||||
.enumerate()
|
||||
.filter_map(|(i, msg)| matches!(msg, ConversationMessage::ToolResults(_)).then_some(i))
|
||||
.collect();
|
||||
|
||||
// The most-recent envelopes are at the end of the vec — peel off
|
||||
// `keep_recent` of them and leave them untouched.
|
||||
if tool_result_indices.len() <= keep_recent {
|
||||
return MicrocompactStats::default();
|
||||
}
|
||||
let cut = tool_result_indices.len().saturating_sub(keep_recent);
|
||||
tool_result_indices.truncate(cut);
|
||||
|
||||
let mut stats = MicrocompactStats::default();
|
||||
|
||||
for idx in tool_result_indices {
|
||||
let ConversationMessage::ToolResults(results) = &mut history[idx] else {
|
||||
continue;
|
||||
};
|
||||
let mut envelope_changed = false;
|
||||
for entry in results.iter_mut() {
|
||||
if entry.content == CLEARED_PLACEHOLDER {
|
||||
// Already cleared on a previous pass — skip.
|
||||
continue;
|
||||
}
|
||||
let old_len = entry.content.len();
|
||||
entry.content = CLEARED_PLACEHOLDER.to_string();
|
||||
let freed = old_len.saturating_sub(CLEARED_PLACEHOLDER.len());
|
||||
stats.bytes_freed += freed;
|
||||
stats.entries_cleared += 1;
|
||||
envelope_changed = true;
|
||||
}
|
||||
if envelope_changed {
|
||||
stats.envelopes_cleared += 1;
|
||||
}
|
||||
}
|
||||
|
||||
stats
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
use crate::openhuman::providers::{ChatMessage, ToolCall, ToolResultMessage};
|
||||
|
||||
fn user(text: &str) -> ConversationMessage {
|
||||
ConversationMessage::Chat(ChatMessage::user(text))
|
||||
}
|
||||
|
||||
fn assistant_call(id: &str, name: &str) -> ConversationMessage {
|
||||
ConversationMessage::AssistantToolCalls {
|
||||
text: None,
|
||||
tool_calls: vec![ToolCall {
|
||||
id: id.into(),
|
||||
name: name.into(),
|
||||
arguments: "{}".into(),
|
||||
}],
|
||||
}
|
||||
}
|
||||
|
||||
fn tool_result(id: &str, body: &str) -> ConversationMessage {
|
||||
ConversationMessage::ToolResults(vec![ToolResultMessage {
|
||||
tool_call_id: id.into(),
|
||||
content: body.into(),
|
||||
}])
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn noop_when_no_tool_results() {
|
||||
let mut history = vec![user("hi"), user("again")];
|
||||
let stats = microcompact(&mut history, 5);
|
||||
assert_eq!(stats, MicrocompactStats::default());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn noop_when_all_tool_results_within_keep_recent() {
|
||||
let mut history = vec![
|
||||
user("q"),
|
||||
assistant_call("a", "t"),
|
||||
tool_result("a", "body-a"),
|
||||
assistant_call("b", "t"),
|
||||
tool_result("b", "body-b"),
|
||||
];
|
||||
let stats = microcompact(&mut history, 5);
|
||||
assert_eq!(stats, MicrocompactStats::default());
|
||||
// Bodies unchanged.
|
||||
if let ConversationMessage::ToolResults(r) = &history[2] {
|
||||
assert_eq!(r[0].content, "body-a");
|
||||
} else {
|
||||
panic!();
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn clears_oldest_when_over_keep_recent() {
|
||||
let large_body = "x".repeat(5_000);
|
||||
let mut history = vec![
|
||||
user("q1"),
|
||||
assistant_call("t1", "fn"),
|
||||
tool_result("t1", &large_body), // oldest — should be cleared
|
||||
assistant_call("t2", "fn"),
|
||||
tool_result("t2", &large_body), // oldest — should be cleared
|
||||
assistant_call("t3", "fn"),
|
||||
tool_result("t3", "recent-1"), // keep
|
||||
assistant_call("t4", "fn"),
|
||||
tool_result("t4", "recent-2"), // keep
|
||||
];
|
||||
|
||||
let stats = microcompact(&mut history, 2);
|
||||
assert_eq!(stats.envelopes_cleared, 2);
|
||||
assert_eq!(stats.entries_cleared, 2);
|
||||
assert!(stats.bytes_freed > 9_000);
|
||||
|
||||
// Oldest two have been replaced.
|
||||
match &history[2] {
|
||||
ConversationMessage::ToolResults(r) => assert_eq!(r[0].content, CLEARED_PLACEHOLDER),
|
||||
_ => panic!(),
|
||||
}
|
||||
match &history[4] {
|
||||
ConversationMessage::ToolResults(r) => assert_eq!(r[0].content, CLEARED_PLACEHOLDER),
|
||||
_ => panic!(),
|
||||
}
|
||||
// Most-recent two are preserved verbatim.
|
||||
match &history[6] {
|
||||
ConversationMessage::ToolResults(r) => assert_eq!(r[0].content, "recent-1"),
|
||||
_ => panic!(),
|
||||
}
|
||||
match &history[8] {
|
||||
ConversationMessage::ToolResults(r) => assert_eq!(r[0].content, "recent-2"),
|
||||
_ => panic!(),
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn envelope_invariant_preserved() {
|
||||
// API requires every AssistantToolCalls to have a matching
|
||||
// ToolResults envelope. Clearing bodies must not delete the
|
||||
// envelope or remove entries from the vec inside.
|
||||
let mut history = vec![
|
||||
assistant_call("t1", "fn"),
|
||||
tool_result("t1", "old-1"),
|
||||
assistant_call("t2", "fn"),
|
||||
tool_result("t2", "new-1"),
|
||||
];
|
||||
microcompact(&mut history, 1);
|
||||
|
||||
let mut call_count = 0;
|
||||
let mut result_count = 0;
|
||||
for msg in &history {
|
||||
match msg {
|
||||
ConversationMessage::AssistantToolCalls { .. } => call_count += 1,
|
||||
ConversationMessage::ToolResults(_) => result_count += 1,
|
||||
_ => {}
|
||||
}
|
||||
}
|
||||
assert_eq!(call_count, 2);
|
||||
assert_eq!(result_count, 2);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn second_pass_is_idempotent() {
|
||||
let mut history = vec![
|
||||
assistant_call("t1", "fn"),
|
||||
tool_result("t1", "old-1"),
|
||||
assistant_call("t2", "fn"),
|
||||
tool_result("t2", "new-1"),
|
||||
];
|
||||
let first = microcompact(&mut history, 1);
|
||||
assert_eq!(first.envelopes_cleared, 1);
|
||||
|
||||
let second = microcompact(&mut history, 1);
|
||||
assert_eq!(second, MicrocompactStats::default());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn clears_all_entries_in_a_multi_entry_envelope() {
|
||||
let mut history = vec![
|
||||
assistant_call("t1", "fn"),
|
||||
ConversationMessage::ToolResults(vec![
|
||||
ToolResultMessage {
|
||||
tool_call_id: "a".into(),
|
||||
content: "A".repeat(1_000),
|
||||
},
|
||||
ToolResultMessage {
|
||||
tool_call_id: "b".into(),
|
||||
content: "B".repeat(1_000),
|
||||
},
|
||||
]),
|
||||
assistant_call("t2", "fn"),
|
||||
tool_result("t2", "recent"),
|
||||
];
|
||||
let stats = microcompact(&mut history, 1);
|
||||
assert_eq!(stats.envelopes_cleared, 1);
|
||||
assert_eq!(stats.entries_cleared, 2);
|
||||
|
||||
match &history[1] {
|
||||
ConversationMessage::ToolResults(r) => {
|
||||
assert_eq!(r.len(), 2);
|
||||
assert_eq!(r[0].content, CLEARED_PLACEHOLDER);
|
||||
assert_eq!(r[1].content, CLEARED_PLACEHOLDER);
|
||||
}
|
||||
_ => panic!(),
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,42 @@
|
||||
//! Layered context-reduction pipeline.
|
||||
//!
|
||||
//! Context summarisation in openhuman is layered, not a single knob.
|
||||
//! Each layer has a specific trigger and invariant:
|
||||
//!
|
||||
//! | Stage | File | When | Cache impact |
|
||||
//! |-------|--------------------------------|--------------------------------|----------------|
|
||||
//! | 1. Tool-result budget | [`tool_result_budget`] | New tool result created | Cache-safe |
|
||||
//! | 2. Snip / trim | `Agent::trim_history` | Message count > max | Cache-safe* |
|
||||
//! | 3. Microcompact | [`microcompact`] | Guard ≥ 90% soft bound | Breaks prefix |
|
||||
//! | 4. Autocompact | `loop_/history.rs` | Microcompact not enough | Breaks prefix |
|
||||
//! | 5. Session memory | [`session_memory`] | Token/turn/tool deltas | Async, free |
|
||||
//!
|
||||
//! \* Trim only drops messages older than the most-recent stable prefix,
|
||||
//! which is often outside the KV-cache anyway.
|
||||
//!
|
||||
//! The orchestrator is [`pipeline::ContextPipeline`], which is owned by
|
||||
//! the `Agent` and called once per turn before each provider hit. Stage
|
||||
//! 1 is applied inline in `Agent::execute_tool_call`, not here.
|
||||
//!
|
||||
//! Stage reference:
|
||||
//! - [`tool_result_budget::apply_tool_result_budget`] — stage 1
|
||||
//! - [`microcompact::microcompact`] — stage 3
|
||||
//! - `PipelineOutcome::AutocompactionRequested` — stage 4 signal
|
||||
//! - [`session_memory::SessionMemoryState`] — stage 5 state tracker
|
||||
|
||||
pub mod microcompact;
|
||||
pub mod pipeline;
|
||||
pub mod session_memory;
|
||||
pub mod tool_result_budget;
|
||||
|
||||
pub use microcompact::{
|
||||
microcompact, MicrocompactStats, CLEARED_PLACEHOLDER, DEFAULT_KEEP_RECENT_TOOL_RESULTS,
|
||||
};
|
||||
pub use pipeline::{ContextPipeline, ContextPipelineConfig, PipelineOutcome};
|
||||
pub use session_memory::{
|
||||
SessionMemoryConfig, SessionMemoryState, ARCHIVIST_EXTRACTION_PROMPT, DEFAULT_MIN_TOKEN_GROWTH,
|
||||
DEFAULT_MIN_TOOL_CALLS, DEFAULT_MIN_TURNS_BETWEEN,
|
||||
};
|
||||
pub use tool_result_budget::{
|
||||
apply_tool_result_budget, BudgetOutcome, DEFAULT_TOOL_RESULT_BUDGET_BYTES,
|
||||
};
|
||||
@@ -0,0 +1,392 @@
|
||||
//! The layered context pipeline orchestrator.
|
||||
//!
|
||||
//! Ordered reduction chain applied before each provider hit:
|
||||
//!
|
||||
//! 1. **Tool-result budget** — applied inline in `Agent::execute_tool_call`
|
||||
//! (not here). Oversized tool results are truncated before they enter
|
||||
//! history, so they never show up as a pipeline stage.
|
||||
//! 2. **Snip compact** — hard cap on message count. Implemented by the
|
||||
//! pre-existing `Agent::trim_history`; the pipeline leaves it to the
|
||||
//! caller because trimming is a terminal fallback.
|
||||
//! 3. **Microcompact** — this module. Runs when `ContextGuard` reports
|
||||
//! `CompactionNeeded` (soft threshold). Replaces the payload of older
|
||||
//! `ToolResults` envelopes with a placeholder, preserving the
|
||||
//! `AssistantToolCalls ⇔ ToolResults` API invariant.
|
||||
//! 4. **Autocompact** — prose summarisation of older messages.
|
||||
//! OpenHuman's existing `auto_compact_history` lives in
|
||||
//! `agent/loop_/history.rs` and operates on `ChatMessage` (not
|
||||
//! `ConversationMessage`), so we don't call it here — the pipeline
|
||||
//! instead signals a `PipelineOutcome::AutocompactionRequested` to
|
||||
//! the caller and trusts the caller to dispatch its own summariser
|
||||
//! when ready. Keeping the pipeline pure (no LLM calls) means the
|
||||
//! integration tests can exercise every stage without a provider.
|
||||
//! 5. **Session memory** — handled separately by
|
||||
//! [`crate::openhuman::agent::context_pipeline::session_memory`].
|
||||
//!
|
||||
//! # Cache contract
|
||||
//!
|
||||
//! Stages 1–2 are byte-neutral with respect to previously-sent history
|
||||
//! (stage 1 applies to a fresh tool result before insertion; stage 2 is
|
||||
//! a terminal trim). Stages 3–4 deliberately mutate previously-sent
|
||||
//! history and therefore break the KV-cache prefix; they run **only
|
||||
//! when the context guard says we'd otherwise bust the window**. Each
|
||||
//! firing resets the stable prefix to the new, smaller history so
|
||||
//! subsequent turns hit the cache again.
|
||||
|
||||
use super::microcompact::{microcompact, MicrocompactStats, DEFAULT_KEEP_RECENT_TOOL_RESULTS};
|
||||
use super::session_memory::{SessionMemoryConfig, SessionMemoryState};
|
||||
use crate::openhuman::agent::loop_::context_guard::{ContextCheckResult, ContextGuard};
|
||||
use crate::openhuman::providers::{ConversationMessage, UsageInfo};
|
||||
|
||||
/// Pipeline configuration. Defaults are tuned for an `agentic-v1`
|
||||
/// 128k-context run.
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct ContextPipelineConfig {
|
||||
/// Number of recent `ToolResults` envelopes microcompact leaves
|
||||
/// untouched. See [`DEFAULT_KEEP_RECENT_TOOL_RESULTS`].
|
||||
pub microcompact_keep_recent: usize,
|
||||
/// Whether to surface the microcompact pass in the pipeline
|
||||
/// outcome. When `false` the pipeline skips stage 3 entirely —
|
||||
/// useful for tests that want to exercise autocompaction in
|
||||
/// isolation.
|
||||
pub microcompact_enabled: bool,
|
||||
/// Whether the pipeline should report an autocompaction request
|
||||
/// when the guard says we're at the hard threshold. When `false`
|
||||
/// the pipeline silently tolerates an exhausted context (the caller
|
||||
/// is expected to surface the error via the guard directly).
|
||||
pub autocompact_enabled: bool,
|
||||
/// Session-memory extraction tunables.
|
||||
pub session_memory: SessionMemoryConfig,
|
||||
}
|
||||
|
||||
impl Default for ContextPipelineConfig {
|
||||
fn default() -> Self {
|
||||
Self {
|
||||
microcompact_keep_recent: DEFAULT_KEEP_RECENT_TOOL_RESULTS,
|
||||
microcompact_enabled: true,
|
||||
autocompact_enabled: true,
|
||||
session_memory: SessionMemoryConfig::default(),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// Outcome of a single pipeline pass, returned to the caller so it can
|
||||
/// log/telemeter what happened and decide whether to trigger an
|
||||
/// autocompaction summariser.
|
||||
#[derive(Debug, Clone, PartialEq, Eq)]
|
||||
pub enum PipelineOutcome {
|
||||
/// No stage fired — either the guard is happy or the history is
|
||||
/// already small enough.
|
||||
NoOp,
|
||||
/// Microcompact cleared at least one older `ToolResults` envelope.
|
||||
Microcompacted(MicrocompactStats),
|
||||
/// The guard reports we're above the soft threshold and
|
||||
/// microcompact wasn't enough (or was disabled). The caller should
|
||||
/// invoke its autocompaction summariser.
|
||||
AutocompactionRequested {
|
||||
/// The last-known context utilisation as a 0..=100 percentage.
|
||||
utilisation_pct: u8,
|
||||
},
|
||||
/// The guard's circuit breaker is tripped and the context is still
|
||||
/// above the hard threshold — the caller should abort the turn.
|
||||
ContextExhausted { utilisation_pct: u8, reason: String },
|
||||
}
|
||||
|
||||
/// Stateful orchestrator. Owns a [`ContextGuard`] and a
|
||||
/// [`SessionMemoryState`] so a single instance can live on the `Agent`
|
||||
/// across turns without threading state through every call site.
|
||||
#[derive(Debug)]
|
||||
pub struct ContextPipeline {
|
||||
pub config: ContextPipelineConfig,
|
||||
pub guard: ContextGuard,
|
||||
pub session_memory: SessionMemoryState,
|
||||
}
|
||||
|
||||
impl Default for ContextPipeline {
|
||||
fn default() -> Self {
|
||||
Self::new(ContextPipelineConfig::default())
|
||||
}
|
||||
}
|
||||
|
||||
impl ContextPipeline {
|
||||
pub fn new(config: ContextPipelineConfig) -> Self {
|
||||
Self {
|
||||
config,
|
||||
guard: ContextGuard::new(),
|
||||
session_memory: SessionMemoryState::default(),
|
||||
}
|
||||
}
|
||||
|
||||
/// Feed the latest provider `UsageInfo` into both the guard and the
|
||||
/// session-memory state.
|
||||
pub fn record_usage(&mut self, usage: &UsageInfo) {
|
||||
self.guard.update_usage(usage);
|
||||
self.session_memory
|
||||
.record_usage(usage.input_tokens + usage.output_tokens);
|
||||
}
|
||||
|
||||
/// Bump the session-memory turn counter. Called once per user turn.
|
||||
pub fn tick_turn(&mut self) {
|
||||
self.session_memory.tick_turn();
|
||||
}
|
||||
|
||||
/// Accumulate a turn's tool-call count into the session-memory
|
||||
/// state. Called once per user turn after tool dispatch settles.
|
||||
pub fn record_tool_calls(&mut self, n: usize) {
|
||||
self.session_memory.record_tool_calls(n);
|
||||
}
|
||||
|
||||
/// Should the caller spawn a background session-memory extraction
|
||||
/// this turn?
|
||||
pub fn should_extract_session_memory(&self) -> bool {
|
||||
self.session_memory
|
||||
.should_extract(&self.config.session_memory)
|
||||
}
|
||||
|
||||
/// Run the reduction chain against `history` in place. Safe to call
|
||||
/// before every provider hit — it's cheap when the guard is happy.
|
||||
pub fn run_before_call(&mut self, history: &mut [ConversationMessage]) -> PipelineOutcome {
|
||||
match self.guard.check() {
|
||||
ContextCheckResult::Ok => PipelineOutcome::NoOp,
|
||||
ContextCheckResult::CompactionNeeded => {
|
||||
// Stage 3: microcompact the older tool results.
|
||||
if self.config.microcompact_enabled {
|
||||
let stats = microcompact(history, self.config.microcompact_keep_recent);
|
||||
if stats.envelopes_cleared > 0 {
|
||||
// A successful reduction should reset the guard's
|
||||
// circuit breaker so a previous string of
|
||||
// autocompaction failures doesn't leave the
|
||||
// breaker tripped after we've just freed tokens.
|
||||
self.guard.record_compaction_success();
|
||||
tracing::info!(
|
||||
envelopes_cleared = stats.envelopes_cleared,
|
||||
entries_cleared = stats.entries_cleared,
|
||||
bytes_freed = stats.bytes_freed,
|
||||
"[context_pipeline] microcompact fired"
|
||||
);
|
||||
return PipelineOutcome::Microcompacted(stats);
|
||||
}
|
||||
}
|
||||
|
||||
// Stage 4: if microcompact didn't free anything (no old
|
||||
// tool results to clear), signal autocompaction to the
|
||||
// caller. The pipeline deliberately does not issue the
|
||||
// LLM call itself.
|
||||
if self.config.autocompact_enabled {
|
||||
let pct = self
|
||||
.guard
|
||||
.utilization()
|
||||
.map(|u| (u * 100.0).round() as u8)
|
||||
.unwrap_or(0);
|
||||
tracing::info!(
|
||||
utilisation_pct = pct,
|
||||
"[context_pipeline] autocompaction requested"
|
||||
);
|
||||
return PipelineOutcome::AutocompactionRequested {
|
||||
utilisation_pct: pct,
|
||||
};
|
||||
}
|
||||
|
||||
PipelineOutcome::NoOp
|
||||
}
|
||||
ContextCheckResult::ContextExhausted {
|
||||
utilization_pct,
|
||||
reason,
|
||||
} => PipelineOutcome::ContextExhausted {
|
||||
utilisation_pct: utilization_pct,
|
||||
reason,
|
||||
},
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::super::microcompact::CLEARED_PLACEHOLDER;
|
||||
use super::*;
|
||||
use crate::openhuman::providers::{
|
||||
ChatMessage, ConversationMessage, ToolCall, ToolResultMessage, UsageInfo,
|
||||
};
|
||||
|
||||
fn call(id: &str) -> ConversationMessage {
|
||||
ConversationMessage::AssistantToolCalls {
|
||||
text: None,
|
||||
tool_calls: vec![ToolCall {
|
||||
id: id.into(),
|
||||
name: "t".into(),
|
||||
arguments: "{}".into(),
|
||||
}],
|
||||
}
|
||||
}
|
||||
|
||||
fn result(id: &str, body: &str) -> ConversationMessage {
|
||||
ConversationMessage::ToolResults(vec![ToolResultMessage {
|
||||
tool_call_id: id.into(),
|
||||
content: body.into(),
|
||||
}])
|
||||
}
|
||||
|
||||
fn user(text: &str) -> ConversationMessage {
|
||||
ConversationMessage::Chat(ChatMessage::user(text))
|
||||
}
|
||||
|
||||
fn set_high_utilisation(pipeline: &mut ContextPipeline) {
|
||||
pipeline.record_usage(&UsageInfo {
|
||||
input_tokens: 92_000,
|
||||
output_tokens: 4_000,
|
||||
context_window: 100_000,
|
||||
});
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn noop_when_guard_is_ok() {
|
||||
let mut pipeline = ContextPipeline::default();
|
||||
pipeline.record_usage(&UsageInfo {
|
||||
input_tokens: 10_000,
|
||||
output_tokens: 1_000,
|
||||
context_window: 100_000,
|
||||
});
|
||||
let mut history = vec![
|
||||
user("hi"),
|
||||
call("t1"),
|
||||
result("t1", "x".repeat(2_000).as_str()),
|
||||
];
|
||||
let outcome = pipeline.run_before_call(&mut history);
|
||||
assert_eq!(outcome, PipelineOutcome::NoOp);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn microcompact_fires_at_soft_threshold_when_there_are_old_tool_results() {
|
||||
let mut pipeline = ContextPipeline::default();
|
||||
let mut history = vec![
|
||||
call("t1"),
|
||||
result("t1", &"x".repeat(5_000)),
|
||||
call("t2"),
|
||||
result("t2", &"x".repeat(5_000)),
|
||||
call("t3"),
|
||||
result("t3", "recent-1"),
|
||||
call("t4"),
|
||||
result("t4", "recent-2"),
|
||||
call("t5"),
|
||||
result("t5", "recent-3"),
|
||||
call("t6"),
|
||||
result("t6", "recent-4"),
|
||||
call("t7"),
|
||||
result("t7", "recent-5"),
|
||||
];
|
||||
set_high_utilisation(&mut pipeline);
|
||||
let outcome = pipeline.run_before_call(&mut history);
|
||||
match outcome {
|
||||
PipelineOutcome::Microcompacted(stats) => {
|
||||
assert_eq!(stats.envelopes_cleared, 2);
|
||||
assert!(stats.bytes_freed > 9_000);
|
||||
}
|
||||
other => panic!("expected Microcompacted, got {other:?}"),
|
||||
}
|
||||
// Older entries are cleared, newer ones are preserved.
|
||||
match &history[1] {
|
||||
ConversationMessage::ToolResults(r) => {
|
||||
assert_eq!(r[0].content, CLEARED_PLACEHOLDER)
|
||||
}
|
||||
_ => panic!(),
|
||||
}
|
||||
match &history[13] {
|
||||
ConversationMessage::ToolResults(r) => assert_eq!(r[0].content, "recent-5"),
|
||||
_ => panic!(),
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn autocompaction_requested_when_no_old_tool_results_to_clear() {
|
||||
let mut pipeline = ContextPipeline::default();
|
||||
// Soft threshold crossed but there are zero ToolResults to clear.
|
||||
set_high_utilisation(&mut pipeline);
|
||||
let mut history = vec![user("one"), user("two"), user("three")];
|
||||
let outcome = pipeline.run_before_call(&mut history);
|
||||
match outcome {
|
||||
PipelineOutcome::AutocompactionRequested { utilisation_pct } => {
|
||||
assert!(utilisation_pct >= 90);
|
||||
}
|
||||
other => panic!("expected AutocompactionRequested, got {other:?}"),
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn autocompaction_requested_when_only_recent_tool_results_exist() {
|
||||
// All tool results fall within `keep_recent`, so microcompact
|
||||
// has nothing to clear and the pipeline falls through to
|
||||
// autocompaction.
|
||||
let mut pipeline = ContextPipeline::default();
|
||||
let mut history = vec![call("t1"), result("t1", "a"), call("t2"), result("t2", "b")];
|
||||
set_high_utilisation(&mut pipeline);
|
||||
let outcome = pipeline.run_before_call(&mut history);
|
||||
assert!(matches!(
|
||||
outcome,
|
||||
PipelineOutcome::AutocompactionRequested { .. }
|
||||
));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn microcompact_disabled_skips_to_autocompaction() {
|
||||
let mut pipeline = ContextPipeline::new(ContextPipelineConfig {
|
||||
microcompact_enabled: false,
|
||||
..ContextPipelineConfig::default()
|
||||
});
|
||||
let mut history = vec![
|
||||
call("t1"),
|
||||
result("t1", &"x".repeat(5_000)),
|
||||
call("t2"),
|
||||
result("t2", "recent"),
|
||||
];
|
||||
set_high_utilisation(&mut pipeline);
|
||||
let outcome = pipeline.run_before_call(&mut history);
|
||||
assert!(matches!(
|
||||
outcome,
|
||||
PipelineOutcome::AutocompactionRequested { .. }
|
||||
));
|
||||
// History must be untouched when microcompact is disabled.
|
||||
if let ConversationMessage::ToolResults(r) = &history[1] {
|
||||
assert_eq!(r[0].content.len(), 5_000);
|
||||
} else {
|
||||
panic!();
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn exhausted_context_propagates_to_caller() {
|
||||
let mut pipeline = ContextPipeline::default();
|
||||
pipeline.record_usage(&UsageInfo {
|
||||
input_tokens: 96_000,
|
||||
output_tokens: 2_000,
|
||||
context_window: 100_000,
|
||||
});
|
||||
// Trip the circuit breaker.
|
||||
pipeline.guard.record_compaction_failure();
|
||||
pipeline.guard.record_compaction_failure();
|
||||
pipeline.guard.record_compaction_failure();
|
||||
|
||||
let mut history = vec![user("hi")];
|
||||
let outcome = pipeline.run_before_call(&mut history);
|
||||
assert!(matches!(outcome, PipelineOutcome::ContextExhausted { .. }));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn record_usage_feeds_session_memory() {
|
||||
let mut pipeline = ContextPipeline::default();
|
||||
pipeline.record_usage(&UsageInfo {
|
||||
input_tokens: 10_000,
|
||||
output_tokens: 2_000,
|
||||
context_window: 100_000,
|
||||
});
|
||||
assert_eq!(pipeline.session_memory.total_tokens, 12_000);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn tick_turn_and_record_tool_calls_affect_session_memory() {
|
||||
let mut pipeline = ContextPipeline::default();
|
||||
pipeline.tick_turn();
|
||||
pipeline.record_tool_calls(5);
|
||||
assert_eq!(pipeline.session_memory.current_turn, 1);
|
||||
assert_eq!(pipeline.session_memory.total_tool_calls, 5);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,256 @@
|
||||
//! Stage 5: Session memory — persistent notes updated by a background fork.
|
||||
//!
|
||||
//! Session memory is intentionally **separate** from compaction. While
|
||||
//! microcompact/autocompact mutate the in-flight conversation history to
|
||||
//! keep the prompt inside the context window, session memory is a
|
||||
//! persistent markdown file (`MEMORY.md` in the workspace) that survives
|
||||
//! across sessions and acts as the long-term substrate the next session
|
||||
//! hydrates from. It is updated by a background forked sub-agent (the
|
||||
//! `archivist` archetype) so the user-facing agent never pays the cost
|
||||
//! of synthesis on its hot path.
|
||||
//!
|
||||
//! Extraction only runs after token-growth, tool-call, and turn-count
|
||||
//! thresholds are met, so it does not fire every turn — see
|
||||
//! [`SessionMemoryConfig`] for the exact knobs.
|
||||
//!
|
||||
//! This module is purely state-tracking: it owns the thresholds and a
|
||||
//! `should_extract` decision, but the actual `spawn_subagent` call is
|
||||
//! issued by the caller (the `Agent::turn` epilogue) so we avoid a
|
||||
//! circular dependency with `harness::subagent_runner`.
|
||||
|
||||
/// Minimum number of *new* tokens (input + output) since the last
|
||||
/// extraction before we consider running another extraction.
|
||||
pub const DEFAULT_MIN_TOKEN_GROWTH: u64 = 4_000;
|
||||
|
||||
/// Minimum number of assistant tool calls since the last extraction
|
||||
/// before we consider running another extraction.
|
||||
pub const DEFAULT_MIN_TOOL_CALLS: u64 = 8;
|
||||
|
||||
/// Minimum number of turns between extractions. Prevents burst
|
||||
/// extraction when the user sends many short messages in a row.
|
||||
pub const DEFAULT_MIN_TURNS_BETWEEN: u64 = 4;
|
||||
|
||||
/// Tunable thresholds for session-memory extraction.
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct SessionMemoryConfig {
|
||||
pub min_token_growth: u64,
|
||||
pub min_tool_calls: u64,
|
||||
pub min_turns_between: u64,
|
||||
}
|
||||
|
||||
impl Default for SessionMemoryConfig {
|
||||
fn default() -> Self {
|
||||
Self {
|
||||
min_token_growth: DEFAULT_MIN_TOKEN_GROWTH,
|
||||
min_tool_calls: DEFAULT_MIN_TOOL_CALLS,
|
||||
min_turns_between: DEFAULT_MIN_TURNS_BETWEEN,
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// Per-session extraction state. Tracked on the `Agent` instance so it
|
||||
/// resets naturally when a new session starts.
|
||||
#[derive(Debug, Clone, Default)]
|
||||
pub struct SessionMemoryState {
|
||||
/// Cumulative tokens observed across the whole session (via
|
||||
/// `ContextGuard::update_usage`).
|
||||
pub total_tokens: u64,
|
||||
/// Tokens at the last completed extraction (or 0 if none yet).
|
||||
pub tokens_at_last_extract: u64,
|
||||
/// Turn counter at the last completed extraction.
|
||||
pub turn_at_last_extract: u64,
|
||||
/// Cumulative tool-call count across the session.
|
||||
pub total_tool_calls: u64,
|
||||
/// Tool calls observed at the last extraction.
|
||||
pub tool_calls_at_last_extract: u64,
|
||||
/// Current turn counter.
|
||||
pub current_turn: u64,
|
||||
/// Whether an extraction is in progress. While `true`, `should_extract`
|
||||
/// returns false so we don't spawn overlapping background forks.
|
||||
pub extraction_in_progress: bool,
|
||||
}
|
||||
|
||||
impl SessionMemoryState {
|
||||
/// Called each time the caller bumps the turn counter.
|
||||
pub fn tick_turn(&mut self) {
|
||||
self.current_turn = self.current_turn.saturating_add(1);
|
||||
}
|
||||
|
||||
/// Accumulate usage from the most recent provider response.
|
||||
pub fn record_usage(&mut self, total_used_tokens: u64) {
|
||||
// `total_used_tokens` is cumulative per-response (prompt + output);
|
||||
// we want monotonic growth so take the max against what we've
|
||||
// already recorded. This is robust to providers that report
|
||||
// smaller numbers when tool-only turns happen.
|
||||
if total_used_tokens > self.total_tokens {
|
||||
self.total_tokens = total_used_tokens;
|
||||
}
|
||||
}
|
||||
|
||||
/// Accumulate a tool-call count from the turn just finished.
|
||||
pub fn record_tool_calls(&mut self, n: usize) {
|
||||
self.total_tool_calls = self.total_tool_calls.saturating_add(n as u64);
|
||||
}
|
||||
|
||||
/// Decide whether a background session-memory extraction should run
|
||||
/// right now. The rule: all three deltas (tokens, tool calls, turns)
|
||||
/// must have grown past their thresholds since the last extraction,
|
||||
/// AND no other extraction is in flight.
|
||||
pub fn should_extract(&self, config: &SessionMemoryConfig) -> bool {
|
||||
if self.extraction_in_progress {
|
||||
return false;
|
||||
}
|
||||
let token_growth = self
|
||||
.total_tokens
|
||||
.saturating_sub(self.tokens_at_last_extract);
|
||||
let tool_growth = self
|
||||
.total_tool_calls
|
||||
.saturating_sub(self.tool_calls_at_last_extract);
|
||||
let turn_growth = self.current_turn.saturating_sub(self.turn_at_last_extract);
|
||||
|
||||
token_growth >= config.min_token_growth
|
||||
&& tool_growth >= config.min_tool_calls
|
||||
&& turn_growth >= config.min_turns_between
|
||||
}
|
||||
|
||||
/// Mark an extraction as in-progress. Must be paired with either
|
||||
/// `mark_extraction_complete` or `mark_extraction_failed`.
|
||||
pub fn mark_extraction_started(&mut self) {
|
||||
self.extraction_in_progress = true;
|
||||
}
|
||||
|
||||
/// Record a successful extraction. Resets the deltas so the next
|
||||
/// extraction won't fire until the thresholds are re-crossed.
|
||||
pub fn mark_extraction_complete(&mut self) {
|
||||
self.extraction_in_progress = false;
|
||||
self.tokens_at_last_extract = self.total_tokens;
|
||||
self.tool_calls_at_last_extract = self.total_tool_calls;
|
||||
self.turn_at_last_extract = self.current_turn;
|
||||
}
|
||||
|
||||
/// Record a failed extraction. Leaves the deltas alone so the next
|
||||
/// turn can retry, but clears the in-progress flag.
|
||||
pub fn mark_extraction_failed(&mut self) {
|
||||
self.extraction_in_progress = false;
|
||||
}
|
||||
}
|
||||
|
||||
/// The prompt the main agent hands to a spawned archivist sub-agent when
|
||||
/// session-memory extraction fires. Kept in this module so the
|
||||
/// extraction policy and the spawn wording live together.
|
||||
pub const ARCHIVIST_EXTRACTION_PROMPT: &str =
|
||||
"You are extracting durable facts from the recent conversation \
|
||||
into the workspace `MEMORY.md` file. Focus on:\n\n\
|
||||
- User preferences and commitments\n\
|
||||
- Decisions and their rationale\n\
|
||||
- Facts about external systems, people, codebases the user mentioned\n\
|
||||
- Unresolved tasks worth surfacing next session\n\n\
|
||||
Skip: filler dialogue, tool logs, and anything already present in \
|
||||
MEMORY.md. Use the `update_memory_md` tool to append a dated bullet \
|
||||
list under an `## Observations` section. Be dense — at most 8 bullets. \
|
||||
Reply with a one-line confirmation when done.";
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
|
||||
#[test]
|
||||
fn default_state_does_not_extract() {
|
||||
let state = SessionMemoryState::default();
|
||||
let cfg = SessionMemoryConfig::default();
|
||||
assert!(!state.should_extract(&cfg));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn all_three_thresholds_must_be_crossed() {
|
||||
let cfg = SessionMemoryConfig::default();
|
||||
|
||||
// Only token threshold crossed → no.
|
||||
let mut s = SessionMemoryState::default();
|
||||
s.total_tokens = DEFAULT_MIN_TOKEN_GROWTH + 1;
|
||||
assert!(!s.should_extract(&cfg));
|
||||
|
||||
// Tokens + tool calls, no turn growth → no.
|
||||
s.total_tool_calls = DEFAULT_MIN_TOOL_CALLS + 1;
|
||||
assert!(!s.should_extract(&cfg));
|
||||
|
||||
// All three crossed → yes.
|
||||
s.current_turn = DEFAULT_MIN_TURNS_BETWEEN + 1;
|
||||
assert!(s.should_extract(&cfg));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn in_progress_suppresses_extraction() {
|
||||
let cfg = SessionMemoryConfig::default();
|
||||
let mut s = SessionMemoryState::default();
|
||||
s.total_tokens = DEFAULT_MIN_TOKEN_GROWTH + 1;
|
||||
s.total_tool_calls = DEFAULT_MIN_TOOL_CALLS + 1;
|
||||
s.current_turn = DEFAULT_MIN_TURNS_BETWEEN + 1;
|
||||
assert!(s.should_extract(&cfg));
|
||||
s.mark_extraction_started();
|
||||
assert!(!s.should_extract(&cfg));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn mark_complete_resets_deltas() {
|
||||
let cfg = SessionMemoryConfig::default();
|
||||
let mut s = SessionMemoryState::default();
|
||||
s.total_tokens = 10_000;
|
||||
s.total_tool_calls = 15;
|
||||
s.current_turn = 10;
|
||||
s.mark_extraction_started();
|
||||
s.mark_extraction_complete();
|
||||
|
||||
// Immediately after completion no further extraction should
|
||||
// fire until the deltas are re-crossed.
|
||||
assert!(!s.should_extract(&cfg));
|
||||
|
||||
// Grow each counter past threshold again.
|
||||
s.total_tokens += DEFAULT_MIN_TOKEN_GROWTH;
|
||||
s.total_tool_calls += DEFAULT_MIN_TOOL_CALLS;
|
||||
s.current_turn += DEFAULT_MIN_TURNS_BETWEEN;
|
||||
assert!(s.should_extract(&cfg));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn mark_failed_leaves_deltas_intact() {
|
||||
let cfg = SessionMemoryConfig::default();
|
||||
let mut s = SessionMemoryState::default();
|
||||
s.total_tokens = DEFAULT_MIN_TOKEN_GROWTH + 1;
|
||||
s.total_tool_calls = DEFAULT_MIN_TOOL_CALLS + 1;
|
||||
s.current_turn = DEFAULT_MIN_TURNS_BETWEEN + 1;
|
||||
s.mark_extraction_started();
|
||||
s.mark_extraction_failed();
|
||||
|
||||
// Should still fire on the next attempt because the
|
||||
// "last_extract" counters were not advanced.
|
||||
assert!(s.should_extract(&cfg));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn record_usage_is_monotonic() {
|
||||
let mut s = SessionMemoryState::default();
|
||||
s.record_usage(5_000);
|
||||
s.record_usage(3_000); // regression — must not decrease.
|
||||
assert_eq!(s.total_tokens, 5_000);
|
||||
s.record_usage(7_500);
|
||||
assert_eq!(s.total_tokens, 7_500);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn tick_turn_increments() {
|
||||
let mut s = SessionMemoryState::default();
|
||||
s.tick_turn();
|
||||
s.tick_turn();
|
||||
s.tick_turn();
|
||||
assert_eq!(s.current_turn, 3);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn record_tool_calls_accumulates() {
|
||||
let mut s = SessionMemoryState::default();
|
||||
s.record_tool_calls(3);
|
||||
s.record_tool_calls(2);
|
||||
assert_eq!(s.total_tool_calls, 5);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,176 @@
|
||||
//! Stage 1: Tool-result budget.
|
||||
//!
|
||||
//! Apply a per-call byte cap to a raw tool result *before* it enters the
|
||||
//! conversation history. This is the cheapest stage because it operates
|
||||
//! on fresh bytes that have not yet been sent to the inference backend —
|
||||
//! it does not mutate existing history and therefore does not break the
|
||||
//! KV-cache prefix.
|
||||
//!
|
||||
//! A future iteration could park the overflow in a "stored surrogate"
|
||||
//! and reference it later if the model asks for the full body. For now
|
||||
//! OpenHuman does the simpler thing: truncate in-place with a size
|
||||
//! marker the model can use to decide whether to re-run the tool with a
|
||||
//! narrower query.
|
||||
//!
|
||||
//! This stage is called from `Agent::execute_tool_call` once the tool
|
||||
//! has returned its output and before that output is packaged into a
|
||||
//! `ToolResultMessage`.
|
||||
|
||||
use std::fmt::Write as _;
|
||||
|
||||
/// Default per-tool-result budget. Chosen to keep a single oversized
|
||||
/// result from blowing out the prompt while still leaving room for
|
||||
/// moderately chunky outputs (directory listings, small file contents,
|
||||
/// condensed HTTP bodies).
|
||||
pub const DEFAULT_TOOL_RESULT_BUDGET_BYTES: usize = 16 * 1024;
|
||||
|
||||
/// Number of trailing bytes reserved for the truncation marker. The
|
||||
/// effective head capacity is `budget - TRAILER_RESERVED`.
|
||||
const TRAILER_RESERVED: usize = 256;
|
||||
|
||||
/// Outcome of a budget application, for tracing.
|
||||
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
|
||||
pub struct BudgetOutcome {
|
||||
/// Byte length of the original content.
|
||||
pub original_bytes: usize,
|
||||
/// Byte length of the returned content (`== original_bytes` when the
|
||||
/// result fit inside the budget).
|
||||
pub final_bytes: usize,
|
||||
/// `true` if the content was truncated.
|
||||
pub truncated: bool,
|
||||
}
|
||||
|
||||
impl BudgetOutcome {
|
||||
pub fn unchanged(len: usize) -> Self {
|
||||
Self {
|
||||
original_bytes: len,
|
||||
final_bytes: len,
|
||||
truncated: false,
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// Apply the tool-result budget to `content`.
|
||||
///
|
||||
/// If `content` fits in `budget_bytes`, returns it unchanged. Otherwise
|
||||
/// returns a truncated prefix followed by a human-readable marker like
|
||||
/// `\n\n[… 42_384 bytes truncated by tool_result_budget …]`. The cut is
|
||||
/// made at a UTF-8 character boundary so the returned string is always
|
||||
/// valid UTF-8.
|
||||
pub fn apply_tool_result_budget(content: String, budget_bytes: usize) -> (String, BudgetOutcome) {
|
||||
let original_bytes = content.len();
|
||||
if budget_bytes == 0 || original_bytes <= budget_bytes {
|
||||
return (content, BudgetOutcome::unchanged(original_bytes));
|
||||
}
|
||||
|
||||
// Reserve room for the trailer. If the budget is smaller than the
|
||||
// reservation we still emit the marker; the only guarantee is that
|
||||
// the final string is shorter than the original.
|
||||
let head_capacity = budget_bytes.saturating_sub(TRAILER_RESERVED).max(1);
|
||||
|
||||
// Walk char indices forward until we cross the head capacity. The
|
||||
// last char fully inside the head is where we cut.
|
||||
let mut cut = 0usize;
|
||||
for (idx, ch) in content.char_indices() {
|
||||
let next = idx + ch.len_utf8();
|
||||
if next > head_capacity {
|
||||
break;
|
||||
}
|
||||
cut = next;
|
||||
}
|
||||
|
||||
// Extremely short content (single multi-byte char) — guarantee at
|
||||
// least one character makes it into the head so we don't emit a
|
||||
// zero-byte head.
|
||||
if cut == 0 {
|
||||
cut = content
|
||||
.char_indices()
|
||||
.next()
|
||||
.map(|(_, c)| c.len_utf8())
|
||||
.unwrap_or(0);
|
||||
}
|
||||
|
||||
let dropped_bytes = original_bytes.saturating_sub(cut);
|
||||
let mut out = String::with_capacity(cut + TRAILER_RESERVED);
|
||||
out.push_str(&content[..cut]);
|
||||
// Hard separator so the marker is easy for humans AND the model to
|
||||
// recognise when it appears inside a tool_result block.
|
||||
let _ = write!(
|
||||
out,
|
||||
"\n\n[… {dropped_bytes} bytes truncated by tool_result_budget — re-run with a narrower query to see the rest …]"
|
||||
);
|
||||
|
||||
let final_bytes = out.len();
|
||||
(
|
||||
out,
|
||||
BudgetOutcome {
|
||||
original_bytes,
|
||||
final_bytes,
|
||||
truncated: true,
|
||||
},
|
||||
)
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
|
||||
#[test]
|
||||
fn small_content_passes_through_unchanged() {
|
||||
let input = "hello world".to_string();
|
||||
let (out, outcome) = apply_tool_result_budget(input.clone(), 1024);
|
||||
assert_eq!(out, input);
|
||||
assert!(!outcome.truncated);
|
||||
assert_eq!(outcome.original_bytes, outcome.final_bytes);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn content_at_exact_budget_is_unchanged() {
|
||||
let input = "x".repeat(100);
|
||||
let (out, outcome) = apply_tool_result_budget(input.clone(), 100);
|
||||
assert_eq!(out, input);
|
||||
assert!(!outcome.truncated);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn oversized_content_is_truncated_with_marker() {
|
||||
let input = "x".repeat(10_000);
|
||||
let (out, outcome) = apply_tool_result_budget(input, 1024);
|
||||
assert!(outcome.truncated);
|
||||
assert!(out.len() < 10_000);
|
||||
assert!(out.contains("truncated by tool_result_budget"));
|
||||
// Marker should include the dropped byte count.
|
||||
assert!(out.contains("bytes truncated"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn truncation_respects_utf8_boundaries() {
|
||||
// Each "é" is 2 bytes. 600 of them = 1200 bytes.
|
||||
let input: String = "é".repeat(600);
|
||||
let (out, outcome) = apply_tool_result_budget(input, 500);
|
||||
assert!(outcome.truncated);
|
||||
// Must be valid UTF-8 — just dereferencing is enough.
|
||||
let _ = out.as_str();
|
||||
// Head should contain only full "é" characters (no half-byte).
|
||||
let head_end = out.find("\n\n[").unwrap();
|
||||
let head = &out[..head_end];
|
||||
assert!(head.chars().all(|c| c == 'é'));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn zero_budget_is_noop() {
|
||||
let input = "keep me".to_string();
|
||||
let (out, outcome) = apply_tool_result_budget(input.clone(), 0);
|
||||
assert_eq!(out, input);
|
||||
assert!(!outcome.truncated);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn outcome_reports_correct_byte_counts() {
|
||||
let input = "x".repeat(5_000);
|
||||
let (out, outcome) = apply_tool_result_budget(input, 1024);
|
||||
assert_eq!(outcome.original_bytes, 5_000);
|
||||
assert_eq!(outcome.final_bytes, out.len());
|
||||
assert!(outcome.truncated);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,306 @@
|
||||
//! Built-in [`AgentDefinition`]s derived from [`AgentArchetype`].
|
||||
//!
|
||||
//! These cover the eight historical archetypes plus a synthetic `fork`
|
||||
//! definition that the runner uses for byte-exact prompt-cache reuse.
|
||||
//! Custom YAML definitions loaded later override any built-in with the
|
||||
//! same id.
|
||||
|
||||
use super::archetypes::AgentArchetype;
|
||||
use super::definition::{
|
||||
AgentDefinition, DefinitionSource, ModelSpec, PromptSource, SandboxMode, ToolScope,
|
||||
};
|
||||
|
||||
// `PromptSource::File` is unused in this module — built-ins use
|
||||
// `PromptSource::Inline` with text baked in by `include_str!`. Custom
|
||||
// definitions loaded from TOML may still use `File`.
|
||||
|
||||
/// All built-in definitions, in stable order.
|
||||
pub fn all() -> Vec<AgentDefinition> {
|
||||
let mut out: Vec<AgentDefinition> = AgentArchetype::all()
|
||||
.iter()
|
||||
.map(|arch| from_archetype(*arch))
|
||||
.collect();
|
||||
out.push(fork_definition());
|
||||
out
|
||||
}
|
||||
|
||||
/// Construct an [`AgentDefinition`] for one [`AgentArchetype`].
|
||||
///
|
||||
/// Reads `default_model_hint`, `allowed_tools`, `default_max_iterations`,
|
||||
/// and `sandbox_mode` from the existing archetype metadata so this stays
|
||||
/// a single source of truth. The system prompt body is baked into the
|
||||
/// binary via [`archetype_prompt_body`] so built-in sub-agents work
|
||||
/// regardless of workspace state.
|
||||
pub fn from_archetype(arch: AgentArchetype) -> AgentDefinition {
|
||||
let id = arch.to_string();
|
||||
let when_to_use = when_to_use_for(arch).to_string();
|
||||
let display_name = Some(display_name_for(arch).to_string());
|
||||
let system_prompt = PromptSource::Inline(archetype_prompt_body(arch).to_string());
|
||||
|
||||
let tools = match arch.allowed_tools() {
|
||||
// SkillsAgent: dynamic — at spawn time the runner picks up all
|
||||
// currently-loaded skill tools (filtered by `skill_filter` if set).
|
||||
None => ToolScope::Wildcard,
|
||||
Some(allowed) => ToolScope::Named(allowed.iter().map(|s| (*s).to_string()).collect()),
|
||||
};
|
||||
|
||||
// SkillsAgent's default skill filter is None — meaning "all skill tools".
|
||||
// Per-API specialists (Notion, Gmail, …) are layered on top by setting
|
||||
// `skill_filter` either in a custom TOML definition or as a per-spawn arg.
|
||||
let skill_filter = None;
|
||||
|
||||
// Category filter: the SkillsAgent archetype is *only* allowed to use
|
||||
// skill-bridged tools. Every other archetype is free to use system
|
||||
// tools (their tool whitelists further narrow the actual set).
|
||||
let category_filter = match arch {
|
||||
AgentArchetype::SkillsAgent => Some(crate::openhuman::tools::ToolCategory::Skill),
|
||||
_ => None,
|
||||
};
|
||||
|
||||
// Sub-agents always run with the cheaper, narrower archetype model
|
||||
// hint. Use `ModelSpec::Inherit` if you want them to share the parent's
|
||||
// pinned model — see the `fork` synthetic definition below.
|
||||
let model = ModelSpec::Hint(arch.default_model_hint().to_string());
|
||||
|
||||
let sandbox_mode = match arch.sandbox_mode() {
|
||||
"sandboxed" => SandboxMode::Sandboxed,
|
||||
"read_only" => SandboxMode::ReadOnly,
|
||||
_ => SandboxMode::None,
|
||||
};
|
||||
|
||||
// Code executor / tool maker / skills agent need the safety preamble
|
||||
// (they actually touch the world). Pure read-only roles strip it.
|
||||
let omit_safety_preamble = !matches!(
|
||||
arch,
|
||||
AgentArchetype::CodeExecutor | AgentArchetype::ToolMaker | AgentArchetype::SkillsAgent
|
||||
);
|
||||
|
||||
AgentDefinition {
|
||||
id,
|
||||
when_to_use,
|
||||
display_name,
|
||||
system_prompt,
|
||||
omit_identity: true,
|
||||
omit_memory_context: true,
|
||||
omit_safety_preamble,
|
||||
omit_skills_catalog: true,
|
||||
model,
|
||||
temperature: 0.4,
|
||||
tools,
|
||||
disallowed_tools: vec![],
|
||||
skill_filter,
|
||||
category_filter,
|
||||
max_iterations: arch.default_max_iterations(),
|
||||
timeout_secs: None,
|
||||
sandbox_mode,
|
||||
background: arch.is_background(),
|
||||
uses_fork_context: false,
|
||||
source: DefinitionSource::Builtin,
|
||||
}
|
||||
}
|
||||
|
||||
/// The synthetic `fork` definition. Tells the runner to bypass normal
|
||||
/// prompt construction and replay the parent's exact rendered system
|
||||
/// prompt + tool schemas + message prefix from
|
||||
/// [`super::fork_context::ForkContext`]. The OpenAI-compatible backend's
|
||||
/// automatic prefix caching turns this into a real token win.
|
||||
pub fn fork_definition() -> AgentDefinition {
|
||||
AgentDefinition {
|
||||
id: "fork".into(),
|
||||
when_to_use: "Spawn a parallel sub-task that shares the parent's full system \
|
||||
prompt, tool set, and message history byte-for-byte. Use when \
|
||||
decomposing a task into independent parallel work streams that \
|
||||
benefit from prefix-cache reuse on the inference backend."
|
||||
.into(),
|
||||
display_name: Some("Fork".into()),
|
||||
// Prompt source is irrelevant — the runner reads from ForkContext.
|
||||
system_prompt: PromptSource::Inline(String::new()),
|
||||
// Fork preserves bytes — DO NOT strip anything from the parent's prompt.
|
||||
omit_identity: false,
|
||||
omit_memory_context: false,
|
||||
omit_safety_preamble: false,
|
||||
omit_skills_catalog: false,
|
||||
model: ModelSpec::Inherit,
|
||||
// Inherit the parent's temperature too — set to a sentinel that the
|
||||
// runner replaces with the parent's actual temp at spawn time.
|
||||
// (We use 0.7 here as a safe default for documentation; the runner
|
||||
// overrides it from `ParentExecutionContext::temperature`.)
|
||||
temperature: 0.7,
|
||||
tools: ToolScope::Wildcard,
|
||||
disallowed_tools: vec![],
|
||||
skill_filter: None,
|
||||
category_filter: None,
|
||||
// Fork inherits the parent's max iterations from the runtime.
|
||||
max_iterations: 15,
|
||||
timeout_secs: None,
|
||||
sandbox_mode: SandboxMode::None,
|
||||
background: false,
|
||||
uses_fork_context: true,
|
||||
source: DefinitionSource::Builtin,
|
||||
}
|
||||
}
|
||||
|
||||
/// Returns the bundled markdown body for an archetype's system prompt.
|
||||
///
|
||||
/// Files are baked into the binary via `include_str!` at compile time so
|
||||
/// built-in sub-agents always have a prompt to work with, even when the
|
||||
/// workspace `agent/prompts/` directory doesn't exist or has been
|
||||
/// modified.
|
||||
fn archetype_prompt_body(arch: AgentArchetype) -> &'static str {
|
||||
match arch {
|
||||
AgentArchetype::Orchestrator => include_str!("../prompts/ORCHESTRATOR.md"),
|
||||
AgentArchetype::Planner => include_str!("../prompts/PLANNER.md"),
|
||||
AgentArchetype::CodeExecutor => include_str!("../prompts/archetypes/code_executor.md"),
|
||||
AgentArchetype::SkillsAgent => include_str!("../prompts/archetypes/skills_agent.md"),
|
||||
// ToolMaker shares the code_executor prompt — both write code in
|
||||
// a sandbox; ToolMaker's bounded scope is enforced via
|
||||
// `max_iterations` and `disallowed_tools`.
|
||||
AgentArchetype::ToolMaker => include_str!("../prompts/archetypes/code_executor.md"),
|
||||
AgentArchetype::Researcher => include_str!("../prompts/archetypes/researcher.md"),
|
||||
AgentArchetype::Critic => include_str!("../prompts/archetypes/critic.md"),
|
||||
AgentArchetype::Archivist => include_str!("../prompts/archetypes/archivist.md"),
|
||||
}
|
||||
}
|
||||
|
||||
fn when_to_use_for(arch: AgentArchetype) -> &'static str {
|
||||
match arch {
|
||||
AgentArchetype::Orchestrator => {
|
||||
"Staff Engineer — routes, judges quality, synthesises. Never writes code itself. \
|
||||
You should not normally spawn another orchestrator from inside one."
|
||||
}
|
||||
AgentArchetype::Planner => {
|
||||
"Architect — break a complex task into a small DAG of subtasks with \
|
||||
explicit acceptance criteria. Read-only; produces JSON, not code."
|
||||
}
|
||||
AgentArchetype::CodeExecutor => {
|
||||
"Sandboxed developer — writes, runs, and debugs code until tests pass. \
|
||||
Use for any task that requires producing or modifying source files \
|
||||
and exercising them with shell or test commands."
|
||||
}
|
||||
AgentArchetype::SkillsAgent => {
|
||||
"Skill tool specialist — executes installed QuickJS skill tools \
|
||||
(Notion, Gmail, …). Use when the task should be completed via a \
|
||||
user-installed skill rather than raw HTTP/file I/O. Pair with a \
|
||||
`skill_filter` argument to scope to a single skill."
|
||||
}
|
||||
AgentArchetype::ToolMaker => {
|
||||
"Self-healer — writes a polyfill script when a required command is \
|
||||
missing on the host. Very narrow scope; max 2 iterations."
|
||||
}
|
||||
AgentArchetype::Researcher => {
|
||||
"Web & docs crawler — reads real documentation, compresses to dense \
|
||||
markdown. Use for any task that requires looking up external knowledge."
|
||||
}
|
||||
AgentArchetype::Critic => {
|
||||
"Adversarial reviewer — reviews diffs and code against project rules, \
|
||||
flags vulnerabilities, regressions, and missing tests. Read-only."
|
||||
}
|
||||
AgentArchetype::Archivist => {
|
||||
"Background librarian — extracts lessons from a completed session, \
|
||||
updates MEMORY.md, and indexes to FTS5. Runs cheap and slow."
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
fn display_name_for(arch: AgentArchetype) -> &'static str {
|
||||
match arch {
|
||||
AgentArchetype::Orchestrator => "Orchestrator",
|
||||
AgentArchetype::Planner => "Planner",
|
||||
AgentArchetype::CodeExecutor => "Code Executor",
|
||||
AgentArchetype::SkillsAgent => "Skills Agent",
|
||||
AgentArchetype::ToolMaker => "Tool Maker",
|
||||
AgentArchetype::Researcher => "Researcher",
|
||||
AgentArchetype::Critic => "Critic",
|
||||
AgentArchetype::Archivist => "Archivist",
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
|
||||
#[test]
|
||||
fn all_definitions_present() {
|
||||
let defs = all();
|
||||
// 8 archetypes + 1 synthetic `fork`.
|
||||
assert_eq!(defs.len(), 9);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn each_archetype_yields_an_id() {
|
||||
for arch in AgentArchetype::all() {
|
||||
let def = from_archetype(*arch);
|
||||
assert_eq!(def.id, arch.to_string());
|
||||
assert!(!def.when_to_use.is_empty());
|
||||
assert_eq!(def.source, DefinitionSource::Builtin);
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn code_executor_keeps_safety_preamble() {
|
||||
let def = from_archetype(AgentArchetype::CodeExecutor);
|
||||
assert!(!def.omit_safety_preamble);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn critic_strips_safety_preamble() {
|
||||
let def = from_archetype(AgentArchetype::Critic);
|
||||
assert!(def.omit_safety_preamble);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn skills_agent_uses_wildcard_tools() {
|
||||
let def = from_archetype(AgentArchetype::SkillsAgent);
|
||||
assert!(matches!(def.tools, ToolScope::Wildcard));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn code_executor_uses_named_tools() {
|
||||
let def = from_archetype(AgentArchetype::CodeExecutor);
|
||||
match def.tools {
|
||||
ToolScope::Named(tools) => {
|
||||
assert!(tools.iter().any(|t| t == "shell"));
|
||||
assert!(tools.iter().any(|t| t == "file_write"));
|
||||
}
|
||||
ToolScope::Wildcard => panic!("expected named tools for code_executor"),
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn fork_definition_has_uses_fork_context_true() {
|
||||
let def = fork_definition();
|
||||
assert_eq!(def.id, "fork");
|
||||
assert!(def.uses_fork_context);
|
||||
assert!(matches!(def.model, ModelSpec::Inherit));
|
||||
assert!(matches!(def.tools, ToolScope::Wildcard));
|
||||
// Fork preserves bytes — must NOT strip anything.
|
||||
assert!(!def.omit_identity);
|
||||
assert!(!def.omit_memory_context);
|
||||
assert!(!def.omit_safety_preamble);
|
||||
assert!(!def.omit_skills_catalog);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn archetype_max_iterations_is_propagated() {
|
||||
let critic = from_archetype(AgentArchetype::Critic);
|
||||
assert_eq!(critic.max_iterations, 5);
|
||||
let tool_maker = from_archetype(AgentArchetype::ToolMaker);
|
||||
assert_eq!(tool_maker.max_iterations, 2);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn sandbox_modes_map_correctly() {
|
||||
assert_eq!(
|
||||
from_archetype(AgentArchetype::CodeExecutor).sandbox_mode,
|
||||
SandboxMode::Sandboxed
|
||||
);
|
||||
assert_eq!(
|
||||
from_archetype(AgentArchetype::Critic).sandbox_mode,
|
||||
SandboxMode::ReadOnly
|
||||
);
|
||||
assert_eq!(
|
||||
from_archetype(AgentArchetype::Researcher).sandbox_mode,
|
||||
SandboxMode::None
|
||||
);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,477 @@
|
||||
//! Data-driven agent definitions.
|
||||
//!
|
||||
//! An [`AgentDefinition`] fully specifies a sub-agent: its core prompt, model,
|
||||
//! allowed tool set, runtime limits, and which sections of the parent system
|
||||
//! prompt to omit. Built-in definitions are derived from
|
||||
//! [`super::archetypes::AgentArchetype`] in
|
||||
//! [`super::builtin_definitions`]; users can ship custom definitions as TOML
|
||||
//! files under `$OPENHUMAN_WORKSPACE/agents/*.toml` (with a fallback to
|
||||
//! `~/.openhuman/agents/*.toml` for user-global specialists) which override
|
||||
//! built-ins on id collision. See [`super::definition_loader`] for the
|
||||
//! directory scan + TOML parsing contract.
|
||||
//!
|
||||
//! Sub-agents are dispatched at runtime by the `spawn_subagent` tool, which
|
||||
//! looks up an [`AgentDefinition`] by id in the global
|
||||
//! [`AgentDefinitionRegistry`] and hands it to
|
||||
//! [`super::subagent_runner::run_subagent`].
|
||||
//!
|
||||
//! This file intentionally has zero references to the rest of the agent
|
||||
//! runtime — it is pure data so the model can be unit-tested in isolation
|
||||
//! and serialised straight from disk.
|
||||
|
||||
use crate::openhuman::tools::ToolCategory;
|
||||
use serde::{Deserialize, Serialize};
|
||||
use std::path::PathBuf;
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
// Agent definition
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
/// A fully specified sub-agent: what it knows, what it can do, how to prompt it.
|
||||
///
|
||||
/// Built-ins live in [`super::builtin_definitions`]; custom ones load from
|
||||
/// TOML at startup. The [`AgentDefinitionRegistry`] merges them and is the
|
||||
/// single source of truth that `SpawnSubagentTool` queries.
|
||||
///
|
||||
/// All `omit_*` flags default to `true` for sub-agents — sub-agents are
|
||||
/// narrow specialists and pay no token tax for the parent's identity,
|
||||
/// memory, safety, or skills sections. Override per-archetype if a
|
||||
/// section is needed.
|
||||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||||
pub struct AgentDefinition {
|
||||
// ── identity ────────────────────────────────────────────────────────
|
||||
/// Unique id, referenced from `spawn_subagent { agent_id: "…" }`.
|
||||
/// Convention: snake_case (e.g. `code_executor`, `notion_specialist`).
|
||||
pub id: String,
|
||||
|
||||
/// One-line description shown in the orchestrator's `spawn_subagent`
|
||||
/// tool schema so the parent model knows when to delegate to this agent.
|
||||
pub when_to_use: String,
|
||||
|
||||
/// Optional display name for UI/logs. Falls back to `id`.
|
||||
#[serde(default)]
|
||||
pub display_name: Option<String>,
|
||||
|
||||
// ── prompt ──────────────────────────────────────────────────────────
|
||||
/// Source of the sub-agent's core system prompt. Inline for TOML-defined
|
||||
/// agents, or a path to a file under `agent/prompts/` for built-ins.
|
||||
pub system_prompt: PromptSource,
|
||||
|
||||
/// Sections of the main agent's prompt to strip when this sub-agent runs.
|
||||
/// Defaults to `true` (strip) — sub-agents are narrow and don't need the
|
||||
/// parent's identity scaffolding.
|
||||
#[serde(default = "defaults::true_")]
|
||||
pub omit_identity: bool,
|
||||
#[serde(default = "defaults::true_")]
|
||||
pub omit_memory_context: bool,
|
||||
#[serde(default = "defaults::true_")]
|
||||
pub omit_safety_preamble: bool,
|
||||
#[serde(default = "defaults::true_")]
|
||||
pub omit_skills_catalog: bool,
|
||||
|
||||
// ── model ───────────────────────────────────────────────────────────
|
||||
/// Model selection: inherit parent, hint to router, or pinned name.
|
||||
#[serde(default)]
|
||||
pub model: ModelSpec,
|
||||
|
||||
/// Sampling temperature. Sub-agents default to `0.4` for precision.
|
||||
#[serde(default = "defaults::subagent_temperature")]
|
||||
pub temperature: f64,
|
||||
|
||||
// ── tools ───────────────────────────────────────────────────────────
|
||||
/// Either [`ToolScope::Wildcard`] (all tools the parent has) or
|
||||
/// [`ToolScope::Named`] (an explicit allowlist).
|
||||
#[serde(default)]
|
||||
pub tools: ToolScope,
|
||||
|
||||
/// Tools that are explicitly banned even if `tools == Wildcard`.
|
||||
/// Built-ins default-deny dangerous ops for read-only archetypes.
|
||||
#[serde(default)]
|
||||
pub disallowed_tools: Vec<String>,
|
||||
|
||||
/// If set, the resolved tool list is further filtered to only those whose
|
||||
/// name starts with `{skill_filter}__`. Gives us per-API specialists
|
||||
/// (Notion, Gmail, …) without enum variants. Overridable per-spawn.
|
||||
#[serde(default)]
|
||||
pub skill_filter: Option<String>,
|
||||
|
||||
/// If set, the resolved tool list is restricted to tools whose
|
||||
/// [`crate::openhuman::tools::Tool::category`] matches this value.
|
||||
/// This is the *primary* mechanism the orchestrator uses to spawn
|
||||
/// dedicated tool-execution sub-agents:
|
||||
/// - `Some(Skill)` → sub-agent only sees skill-bridge tools
|
||||
/// (Notion, Gmail, Telegram, …). Pair with `ModelSpec::Hint("agentic")`
|
||||
/// to route to the backend's agentic model.
|
||||
/// - `Some(System)` → sub-agent only sees built-in Rust tools.
|
||||
/// - `None` (default) → no category restriction; `tools` /
|
||||
/// `disallowed_tools` / `skill_filter` still apply.
|
||||
///
|
||||
/// Category filtering happens *before* the `tools`/`disallowed_tools`
|
||||
/// scope check, so a `Named` scope is a stricter-intersection override.
|
||||
#[serde(default)]
|
||||
pub category_filter: Option<ToolCategory>,
|
||||
|
||||
// ── runtime limits ──────────────────────────────────────────────────
|
||||
/// Maximum tool-call iterations per spawn. Sub-agents default to a
|
||||
/// shorter cap than the parent to keep cost bounded.
|
||||
#[serde(default = "defaults::max_iterations")]
|
||||
pub max_iterations: usize,
|
||||
|
||||
/// Hard wall-clock timeout per turn. `None` falls back to
|
||||
/// `tool_execution_timeout_secs`.
|
||||
#[serde(default)]
|
||||
pub timeout_secs: Option<u64>,
|
||||
|
||||
/// `none` / `read_only` / `sandboxed`. Mirrors
|
||||
/// [`super::archetypes::AgentArchetype::sandbox_mode`].
|
||||
#[serde(default)]
|
||||
pub sandbox_mode: SandboxMode,
|
||||
|
||||
/// If true, spawn runs in the background and the call returns
|
||||
/// immediately with a placeholder. Reserved — not yet wired in v1.
|
||||
#[serde(default)]
|
||||
pub background: bool,
|
||||
|
||||
/// Marker: when true, the runner skips its normal prompt-building path
|
||||
/// and uses the parent's pre-rendered prompt + tool schemas + message
|
||||
/// prefix from the [`super::fork_context::ForkContext`] task-local.
|
||||
/// Only the synthetic built-in `fork` definition has this set.
|
||||
#[serde(default, skip_serializing_if = "is_false")]
|
||||
pub uses_fork_context: bool,
|
||||
|
||||
// ── source bookkeeping ──────────────────────────────────────────────
|
||||
/// Where this definition came from. Filled in by the loader/builder;
|
||||
/// not deserialised from TOML.
|
||||
#[serde(skip)]
|
||||
pub source: DefinitionSource,
|
||||
}
|
||||
|
||||
fn is_false(b: &bool) -> bool {
|
||||
!b
|
||||
}
|
||||
|
||||
impl AgentDefinition {
|
||||
/// Display name with fallback to id.
|
||||
pub fn display_name(&self) -> &str {
|
||||
self.display_name.as_deref().unwrap_or(&self.id)
|
||||
}
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
// Prompt source
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
/// Where the sub-agent's core system prompt comes from.
|
||||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||||
#[serde(rename_all = "snake_case")]
|
||||
pub enum PromptSource {
|
||||
/// Inline prompt string (custom TOML-defined agents).
|
||||
Inline(String),
|
||||
/// Relative path under the workspace's `prompts/` directory or under
|
||||
/// `src/openhuman/agent/prompts/` for built-ins. Resolved by the runner
|
||||
/// at spawn time.
|
||||
File { path: String },
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
// Model spec
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
/// Model selection for a sub-agent.
|
||||
#[derive(Debug, Clone, Serialize, Deserialize, Default)]
|
||||
#[serde(rename_all = "snake_case")]
|
||||
pub enum ModelSpec {
|
||||
/// Use the parent agent's currently-selected model at spawn time.
|
||||
#[default]
|
||||
Inherit,
|
||||
/// Exact model name (e.g. `"neocortex-mk1"`).
|
||||
Exact(String),
|
||||
/// Router hint (e.g. `"reasoning"`, `"coding"`, `"local"`). Resolved
|
||||
/// to a real model by the routing provider.
|
||||
Hint(String),
|
||||
}
|
||||
|
||||
impl ModelSpec {
|
||||
/// Resolve this spec into the model name string the provider expects.
|
||||
/// `parent_model` is the model the parent agent is using right now.
|
||||
pub fn resolve(&self, parent_model: &str) -> String {
|
||||
match self {
|
||||
Self::Inherit => parent_model.to_string(),
|
||||
Self::Exact(name) => name.clone(),
|
||||
Self::Hint(hint) => format!("hint:{hint}"),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
// Tool scope
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
/// Which tools a sub-agent is allowed to call.
|
||||
#[derive(Debug, Clone, Serialize, Deserialize, Default)]
|
||||
#[serde(rename_all = "snake_case")]
|
||||
pub enum ToolScope {
|
||||
/// All tools the parent has (subject to `disallowed_tools` and
|
||||
/// `skill_filter`).
|
||||
#[default]
|
||||
Wildcard,
|
||||
/// An explicit allowlist of tool names. Names not present in the parent
|
||||
/// registry at spawn time are silently dropped (logged at debug).
|
||||
Named(Vec<String>),
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
// Sandbox mode
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
/// Sandbox mode for a sub-agent's tool execution. Mirrors the existing
|
||||
/// [`super::archetypes::AgentArchetype::sandbox_mode`] string for now;
|
||||
/// in the future this may map directly into a `SecurityPolicy` builder.
|
||||
#[derive(Debug, Clone, Copy, Serialize, Deserialize, PartialEq, Eq, Default)]
|
||||
#[serde(rename_all = "snake_case")]
|
||||
pub enum SandboxMode {
|
||||
/// No additional sandboxing beyond what the parent already enforces.
|
||||
#[default]
|
||||
None,
|
||||
/// Read-only — write/execute tools are filtered out.
|
||||
ReadOnly,
|
||||
/// Drop privileges, restrict filesystem (Landlock / Bubblewrap).
|
||||
Sandboxed,
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
// Definition source
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
/// Where an [`AgentDefinition`] was loaded from. Used for telemetry and
|
||||
/// the `agent::list_definitions` RPC reply.
|
||||
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq, Default)]
|
||||
#[serde(tag = "kind", content = "path")]
|
||||
pub enum DefinitionSource {
|
||||
/// Built-in derived from an [`super::archetypes::AgentArchetype`].
|
||||
#[default]
|
||||
Builtin,
|
||||
/// Loaded from a TOML file at the given absolute path.
|
||||
File(PathBuf),
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
// Defaults module — referenced by `#[serde(default = ...)]`
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
pub(crate) mod defaults {
|
||||
pub(crate) fn true_() -> bool {
|
||||
true
|
||||
}
|
||||
|
||||
pub(crate) fn subagent_temperature() -> f64 {
|
||||
0.4
|
||||
}
|
||||
|
||||
pub(crate) fn max_iterations() -> usize {
|
||||
8
|
||||
}
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
// Registry
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
use anyhow::Result;
|
||||
use std::collections::HashMap;
|
||||
use std::path::Path;
|
||||
use std::sync::OnceLock;
|
||||
|
||||
/// In-memory registry of all known [`AgentDefinition`]s.
|
||||
///
|
||||
/// One singleton instance is initialised at startup via
|
||||
/// [`AgentDefinitionRegistry::init_global`]. Built-ins are registered
|
||||
/// unconditionally; custom TOML definitions (if a workspace is provided)
|
||||
/// are loaded next and override built-ins on `id` collision.
|
||||
#[derive(Debug, Default)]
|
||||
pub struct AgentDefinitionRegistry {
|
||||
by_id: HashMap<String, AgentDefinition>,
|
||||
/// Insertion-stable order for predictable `list()` output.
|
||||
order: Vec<String>,
|
||||
}
|
||||
|
||||
static GLOBAL: OnceLock<AgentDefinitionRegistry> = OnceLock::new();
|
||||
|
||||
impl AgentDefinitionRegistry {
|
||||
/// Build a registry containing only the built-in definitions
|
||||
/// (no TOML loading). Useful for tests.
|
||||
pub fn builtins_only() -> Self {
|
||||
let mut reg = Self::default();
|
||||
for def in super::builtin_definitions::all() {
|
||||
reg.insert(def);
|
||||
}
|
||||
reg
|
||||
}
|
||||
|
||||
/// Build a registry containing built-ins plus any custom TOML
|
||||
/// definitions found under `<workspace>/agents/*.toml` (and the
|
||||
/// `~/.openhuman/agents/*.toml` fallback). Custom definitions
|
||||
/// override built-ins on `id` collision. Files that fail to parse
|
||||
/// are logged and skipped rather than aborting startup.
|
||||
pub fn load(workspace: &Path) -> Result<Self> {
|
||||
let mut reg = Self::builtins_only();
|
||||
let custom = super::definition_loader::load_from_workspace(workspace)?;
|
||||
for def in custom {
|
||||
tracing::info!(
|
||||
id = %def.id,
|
||||
source = ?def.source,
|
||||
"[agent_defs] loaded custom definition (overrides any built-in with the same id)"
|
||||
);
|
||||
reg.insert(def);
|
||||
}
|
||||
Ok(reg)
|
||||
}
|
||||
|
||||
/// Insert (or replace) a definition by id.
|
||||
pub fn insert(&mut self, def: AgentDefinition) {
|
||||
let id = def.id.clone();
|
||||
if self.by_id.insert(id.clone(), def).is_none() {
|
||||
self.order.push(id);
|
||||
}
|
||||
}
|
||||
|
||||
/// Look up a definition by id.
|
||||
pub fn get(&self, id: &str) -> Option<&AgentDefinition> {
|
||||
self.by_id.get(id)
|
||||
}
|
||||
|
||||
/// All definitions, in insertion order.
|
||||
pub fn list(&self) -> Vec<&AgentDefinition> {
|
||||
self.order
|
||||
.iter()
|
||||
.filter_map(|id| self.by_id.get(id))
|
||||
.collect()
|
||||
}
|
||||
|
||||
/// Number of registered definitions.
|
||||
pub fn len(&self) -> usize {
|
||||
self.by_id.len()
|
||||
}
|
||||
|
||||
/// True when the registry has no definitions.
|
||||
pub fn is_empty(&self) -> bool {
|
||||
self.by_id.is_empty()
|
||||
}
|
||||
|
||||
// ── singleton API ──────────────────────────────────────────────────
|
||||
|
||||
/// Initialise the global registry. Subsequent calls are no-ops (the
|
||||
/// `OnceLock` only fires once); use [`Self::reload_global`] to refresh
|
||||
/// custom definitions during development.
|
||||
pub fn init_global(workspace: &Path) -> Result<()> {
|
||||
let registry = Self::load(workspace)?;
|
||||
match GLOBAL.set(registry) {
|
||||
Ok(()) => {
|
||||
tracing::info!(
|
||||
"[agent_defs] global registry initialised with {} definitions",
|
||||
GLOBAL.get().map(|r| r.len()).unwrap_or(0)
|
||||
);
|
||||
Ok(())
|
||||
}
|
||||
Err(_) => {
|
||||
tracing::debug!("[agent_defs] global registry already initialised; ignoring");
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// Initialise the global registry with builtins only (no workspace
|
||||
/// scan). Used by tests and by callers that don't have a workspace.
|
||||
pub fn init_global_builtins() -> Result<()> {
|
||||
let registry = Self::builtins_only();
|
||||
let _ = GLOBAL.set(registry);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Borrow the global registry, if initialised.
|
||||
pub fn global() -> Option<&'static Self> {
|
||||
GLOBAL.get()
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
|
||||
fn make_def(id: &str) -> AgentDefinition {
|
||||
AgentDefinition {
|
||||
id: id.into(),
|
||||
when_to_use: "test".into(),
|
||||
display_name: None,
|
||||
system_prompt: PromptSource::Inline("system".into()),
|
||||
omit_identity: true,
|
||||
omit_memory_context: true,
|
||||
omit_safety_preamble: true,
|
||||
omit_skills_catalog: true,
|
||||
model: ModelSpec::Inherit,
|
||||
temperature: 0.4,
|
||||
tools: ToolScope::Wildcard,
|
||||
disallowed_tools: vec![],
|
||||
skill_filter: None,
|
||||
category_filter: None,
|
||||
max_iterations: 8,
|
||||
timeout_secs: None,
|
||||
sandbox_mode: SandboxMode::None,
|
||||
background: false,
|
||||
uses_fork_context: false,
|
||||
source: DefinitionSource::Builtin,
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn registry_insert_and_lookup() {
|
||||
let mut reg = AgentDefinitionRegistry::default();
|
||||
reg.insert(make_def("alpha"));
|
||||
reg.insert(make_def("beta"));
|
||||
assert_eq!(reg.len(), 2);
|
||||
assert!(reg.get("alpha").is_some());
|
||||
assert!(reg.get("beta").is_some());
|
||||
assert!(reg.get("missing").is_none());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn registry_replace_preserves_order() {
|
||||
let mut reg = AgentDefinitionRegistry::default();
|
||||
reg.insert(make_def("alpha"));
|
||||
reg.insert(make_def("beta"));
|
||||
let mut updated = make_def("alpha");
|
||||
updated.when_to_use = "replaced".into();
|
||||
reg.insert(updated);
|
||||
|
||||
let list: Vec<&str> = reg.list().iter().map(|d| d.id.as_str()).collect();
|
||||
assert_eq!(list, vec!["alpha", "beta"]);
|
||||
assert_eq!(reg.get("alpha").unwrap().when_to_use, "replaced");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn model_spec_resolve_inherit_uses_parent() {
|
||||
let spec = ModelSpec::Inherit;
|
||||
assert_eq!(spec.resolve("parent-model"), "parent-model");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn model_spec_resolve_exact_uses_name() {
|
||||
let spec = ModelSpec::Exact("kimi-k2".into());
|
||||
assert_eq!(spec.resolve("parent-model"), "kimi-k2");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn model_spec_resolve_hint_prefixes_router_marker() {
|
||||
let spec = ModelSpec::Hint("coding".into());
|
||||
assert_eq!(spec.resolve("parent-model"), "hint:coding");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn display_name_falls_back_to_id() {
|
||||
let def = make_def("alpha");
|
||||
assert_eq!(def.display_name(), "alpha");
|
||||
let mut def2 = make_def("beta");
|
||||
def2.display_name = Some("Beta Specialist".into());
|
||||
assert_eq!(def2.display_name(), "Beta Specialist");
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,240 @@
|
||||
//! Loads custom [`AgentDefinition`] files from disk.
|
||||
//!
|
||||
//! Custom definitions live as TOML files under `<workspace>/agents/*.toml`,
|
||||
//! with a fallback to `~/.openhuman/agents/*.toml` for user-global
|
||||
//! specialists. Each file defines exactly one definition.
|
||||
//!
|
||||
//! TOML (rather than YAML) is used for consistency with the rest of
|
||||
//! OpenHuman's config system, which already depends on the `toml` crate
|
||||
//! and uses TOML for its main config file.
|
||||
//!
|
||||
//! The loader is intentionally lenient: it logs and skips files that fail
|
||||
//! to parse rather than aborting startup, so a single broken specialist
|
||||
//! never breaks the rest of the system.
|
||||
|
||||
use super::definition::{AgentDefinition, DefinitionSource};
|
||||
use anyhow::{Context, Result};
|
||||
use std::fs;
|
||||
use std::path::{Path, PathBuf};
|
||||
|
||||
/// Load all custom definitions from `<workspace>/agents/` and the
|
||||
/// `~/.openhuman/agents/` fallback. Returns an empty Vec when neither
|
||||
/// directory exists.
|
||||
pub fn load_from_workspace(workspace: &Path) -> Result<Vec<AgentDefinition>> {
|
||||
let mut out = Vec::new();
|
||||
let mut seen_dirs: Vec<PathBuf> = Vec::new();
|
||||
|
||||
let workspace_dir = workspace.join("agents");
|
||||
if workspace_dir.is_dir() {
|
||||
load_dir(&workspace_dir, &mut out)?;
|
||||
seen_dirs.push(workspace_dir);
|
||||
}
|
||||
|
||||
if let Some(home_dir) = user_home_agents_dir() {
|
||||
if home_dir.is_dir() && !seen_dirs.contains(&home_dir) {
|
||||
load_dir(&home_dir, &mut out)?;
|
||||
}
|
||||
}
|
||||
|
||||
Ok(out)
|
||||
}
|
||||
|
||||
/// Load every `.toml` file in a single directory (non-recursive). Files
|
||||
/// that fail to parse are logged and skipped.
|
||||
pub fn load_dir(dir: &Path, out: &mut Vec<AgentDefinition>) -> Result<()> {
|
||||
let entries =
|
||||
fs::read_dir(dir).with_context(|| format!("reading agents dir {}", dir.display()))?;
|
||||
|
||||
for entry in entries {
|
||||
let entry = match entry {
|
||||
Ok(e) => e,
|
||||
Err(err) => {
|
||||
tracing::warn!(
|
||||
dir = %dir.display(),
|
||||
error = %err,
|
||||
"[agent_defs] failed to read directory entry, skipping"
|
||||
);
|
||||
continue;
|
||||
}
|
||||
};
|
||||
|
||||
let path = entry.path();
|
||||
if !path.is_file() {
|
||||
continue;
|
||||
}
|
||||
let Some(ext) = path.extension().and_then(|e| e.to_str()) else {
|
||||
continue;
|
||||
};
|
||||
if ext != "toml" {
|
||||
continue;
|
||||
}
|
||||
|
||||
match load_file(&path) {
|
||||
Ok(def) => {
|
||||
tracing::debug!(
|
||||
id = %def.id,
|
||||
path = %path.display(),
|
||||
"[agent_defs] loaded custom definition"
|
||||
);
|
||||
out.push(def);
|
||||
}
|
||||
Err(err) => {
|
||||
tracing::warn!(
|
||||
path = %path.display(),
|
||||
error = %err,
|
||||
"[agent_defs] failed to load custom definition, skipping"
|
||||
);
|
||||
}
|
||||
}
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Load a single TOML file as an [`AgentDefinition`]. Stamps `source` to
|
||||
/// the absolute path.
|
||||
pub fn load_file(path: &Path) -> Result<AgentDefinition> {
|
||||
let content =
|
||||
fs::read_to_string(path).with_context(|| format!("reading {}", path.display()))?;
|
||||
let mut def: AgentDefinition = toml::from_str(&content)
|
||||
.with_context(|| format!("parsing {} as AgentDefinition TOML", path.display()))?;
|
||||
def.source = DefinitionSource::File(path.to_path_buf());
|
||||
Ok(def)
|
||||
}
|
||||
|
||||
fn user_home_agents_dir() -> Option<PathBuf> {
|
||||
// Honour OPENHUMAN_HOME first if set; otherwise ~/.openhuman.
|
||||
if let Ok(custom) = std::env::var("OPENHUMAN_HOME") {
|
||||
return Some(PathBuf::from(custom).join("agents"));
|
||||
}
|
||||
dirs::home_dir().map(|h| h.join(".openhuman").join("agents"))
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
use std::io::Write;
|
||||
|
||||
fn write_toml(path: &Path, contents: &str) {
|
||||
let mut f = fs::File::create(path).unwrap();
|
||||
f.write_all(contents.as_bytes()).unwrap();
|
||||
}
|
||||
|
||||
fn fresh_workspace() -> tempfile::TempDir {
|
||||
tempfile::tempdir().unwrap()
|
||||
}
|
||||
|
||||
// NOTE: TOML parsing is positional. Top-level scalars MUST come
|
||||
// before any `[table]` header — once a header opens, every line
|
||||
// below it lives inside that table.
|
||||
const NOTION_TOML: &str = r#"
|
||||
id = "notion_specialist"
|
||||
when_to_use = "Delegate Notion queries to a focused specialist."
|
||||
display_name = "Notion Specialist"
|
||||
temperature = 0.4
|
||||
skill_filter = "notion"
|
||||
max_iterations = 5
|
||||
|
||||
[system_prompt]
|
||||
inline = "You are the Notion specialist. Use only Notion tools."
|
||||
|
||||
[model]
|
||||
hint = "agentic"
|
||||
"#;
|
||||
|
||||
#[test]
|
||||
fn loads_single_definition_from_workspace() {
|
||||
let ws = fresh_workspace();
|
||||
let agents_dir = ws.path().join("agents");
|
||||
fs::create_dir_all(&agents_dir).unwrap();
|
||||
write_toml(&agents_dir.join("notion.toml"), NOTION_TOML);
|
||||
|
||||
let defs = load_from_workspace(ws.path()).unwrap();
|
||||
assert_eq!(defs.len(), 1);
|
||||
let def = &defs[0];
|
||||
assert_eq!(def.id, "notion_specialist");
|
||||
assert_eq!(def.skill_filter.as_deref(), Some("notion"));
|
||||
assert_eq!(def.max_iterations, 5);
|
||||
assert!(matches!(def.source, DefinitionSource::File(_)));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn empty_when_no_agents_dir() {
|
||||
let ws = fresh_workspace();
|
||||
let defs = load_from_workspace(ws.path()).unwrap();
|
||||
assert!(defs.is_empty());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn ignores_non_toml_files() {
|
||||
let ws = fresh_workspace();
|
||||
let agents_dir = ws.path().join("agents");
|
||||
fs::create_dir_all(&agents_dir).unwrap();
|
||||
write_toml(&agents_dir.join("readme.md"), "not a definition");
|
||||
write_toml(&agents_dir.join("notion.toml"), NOTION_TOML);
|
||||
|
||||
let defs = load_from_workspace(ws.path()).unwrap();
|
||||
assert_eq!(defs.len(), 1);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn skips_malformed_files_without_aborting() {
|
||||
let ws = fresh_workspace();
|
||||
let agents_dir = ws.path().join("agents");
|
||||
fs::create_dir_all(&agents_dir).unwrap();
|
||||
write_toml(&agents_dir.join("broken.toml"), "id = \"broken\" [oops");
|
||||
write_toml(&agents_dir.join("notion.toml"), NOTION_TOML);
|
||||
|
||||
let defs = load_from_workspace(ws.path()).unwrap();
|
||||
// The broken file is skipped; the valid one still loads.
|
||||
assert_eq!(defs.len(), 1);
|
||||
assert_eq!(defs[0].id, "notion_specialist");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn registry_load_merges_builtins_and_custom() {
|
||||
let ws = fresh_workspace();
|
||||
let agents_dir = ws.path().join("agents");
|
||||
fs::create_dir_all(&agents_dir).unwrap();
|
||||
write_toml(&agents_dir.join("notion.toml"), NOTION_TOML);
|
||||
|
||||
let reg = super::super::definition::AgentDefinitionRegistry::load(ws.path()).unwrap();
|
||||
// The built-in set is allowed to grow over time (new archetypes,
|
||||
// additional synthetic definitions), so assert presence of the
|
||||
// specific ids we care about rather than a fixed total count.
|
||||
assert!(
|
||||
reg.len() > 1,
|
||||
"expected at least one built-in plus the custom definition"
|
||||
);
|
||||
assert!(reg.get("notion_specialist").is_some());
|
||||
assert!(reg.get("code_executor").is_some());
|
||||
assert!(reg.get("fork").is_some());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn custom_definition_overrides_same_id_builtin() {
|
||||
let ws = fresh_workspace();
|
||||
let agents_dir = ws.path().join("agents");
|
||||
fs::create_dir_all(&agents_dir).unwrap();
|
||||
// Override the built-in `code_executor` with a custom one.
|
||||
write_toml(
|
||||
&agents_dir.join("code_executor.toml"),
|
||||
r#"
|
||||
id = "code_executor"
|
||||
when_to_use = "CUSTOM OVERRIDE"
|
||||
|
||||
[system_prompt]
|
||||
inline = "custom prompt"
|
||||
|
||||
[tools]
|
||||
wildcard = {}
|
||||
"#,
|
||||
);
|
||||
|
||||
let reg = super::super::definition::AgentDefinitionRegistry::load(ws.path()).unwrap();
|
||||
// Still 9 — same id replaced built-in in place.
|
||||
assert_eq!(reg.len(), 9);
|
||||
let def = reg.get("code_executor").unwrap();
|
||||
assert_eq!(def.when_to_use, "CUSTOM OVERRIDE");
|
||||
assert!(matches!(def.source, DefinitionSource::File(_)));
|
||||
}
|
||||
}
|
||||
@@ -232,6 +232,22 @@ async fn plan_tasks(
|
||||
}
|
||||
|
||||
/// Execute all tasks in a single DAG level concurrently.
|
||||
///
|
||||
/// Each task is dispatched through the unified
|
||||
/// [`super::subagent_runner::run_subagent`] helper, which:
|
||||
/// - Looks up the built-in [`super::definition::AgentDefinition`] for
|
||||
/// the node's archetype.
|
||||
/// - Resolves model + tool filtering + narrow prompt construction.
|
||||
/// - Runs the sub-agent's inner tool-call loop using the parent's
|
||||
/// provider via the [`super::fork_context::PARENT_CONTEXT`] task-local
|
||||
/// that the orchestrator sets up earlier in
|
||||
/// [`super::subagent_runner`].
|
||||
///
|
||||
/// Per-archetype overrides from
|
||||
/// [`crate::openhuman::config::OrchestratorConfig::archetypes`] (model,
|
||||
/// temperature, max_tool_iterations, timeout_secs, sandbox) are layered
|
||||
/// on top of the built-in definition before dispatch.
|
||||
#[allow(clippy::too_many_arguments)]
|
||||
async fn execute_level(
|
||||
dag: &TaskDag,
|
||||
task_ids: &[String],
|
||||
@@ -239,7 +255,7 @@ async fn execute_level(
|
||||
_config: &Config,
|
||||
_provider: &dyn Provider,
|
||||
_memory: Arc<dyn Memory>,
|
||||
session_id: &str,
|
||||
_session_id: &str,
|
||||
semaphore: Arc<tokio::sync::Semaphore>,
|
||||
) -> Vec<SubAgentResult> {
|
||||
let mut join_set: JoinSet<SubAgentResult> = JoinSet::new();
|
||||
@@ -254,9 +270,7 @@ async fn execute_level(
|
||||
let description = node.description.clone();
|
||||
let acceptance = node.acceptance_criteria.clone();
|
||||
let tid = task_id.clone();
|
||||
let _sid = session_id.to_string();
|
||||
let model = resolve_model(archetype, orch_config);
|
||||
let _temperature = resolve_temperature(archetype, orch_config);
|
||||
let semaphore_clone = semaphore.clone();
|
||||
let timeout = resolve_timeout(archetype, orch_config);
|
||||
|
||||
// Collect context from completed dependencies.
|
||||
@@ -270,24 +284,16 @@ async fn execute_level(
|
||||
})
|
||||
.collect();
|
||||
|
||||
let _prompt = if dep_context.is_empty() {
|
||||
format!("Task: {description}\n\nAcceptance criteria: {acceptance}")
|
||||
} else {
|
||||
format!(
|
||||
"Context from prior tasks:\n{dep_context}\n\
|
||||
Task: {description}\n\nAcceptance criteria: {acceptance}"
|
||||
)
|
||||
};
|
||||
// Build the sub-agent prompt with the task description and
|
||||
// acceptance criteria; dependency context (if any) flows
|
||||
// through the runner's `SubagentRunOptions::context` field.
|
||||
let prompt = format!("Task: {description}\n\nAcceptance criteria: {acceptance}");
|
||||
let context_blob = (!dep_context.is_empty()).then_some(dep_context);
|
||||
|
||||
// Each sub-agent runs as a single-shot provider call for now.
|
||||
// Phase 3 will upgrade this to full tool-loop sub-agents.
|
||||
let _system_prompt = format!(
|
||||
"You are the {archetype} agent. Complete the assigned task precisely.\n\
|
||||
Do not deviate from the task description. Be concise."
|
||||
);
|
||||
let model_clone = model.clone();
|
||||
let _timeout = timeout;
|
||||
let semaphore_clone = semaphore.clone();
|
||||
// Resolve the built-in definition for this archetype, layered
|
||||
// with any per-archetype config overrides.
|
||||
let mut definition = super::builtin_definitions::from_archetype(archetype);
|
||||
apply_archetype_overrides(&mut definition, archetype, orch_config);
|
||||
|
||||
join_set.spawn(async move {
|
||||
let _permit = semaphore_clone
|
||||
@@ -296,25 +302,65 @@ async fn execute_level(
|
||||
.expect("semaphore closed");
|
||||
let start = Instant::now();
|
||||
|
||||
// For now, sub-agents use a simple prompt (no tool loop).
|
||||
// This will be upgraded when archetype-specific tool subsets are wired.
|
||||
let result_text = format!(
|
||||
"[placeholder — no execution] {archetype} sub-agent would execute here\n\
|
||||
Task: {description}\nModel: {model_clone}\nTimeout: {timeout:?}"
|
||||
);
|
||||
let options = super::subagent_runner::SubagentRunOptions {
|
||||
skill_filter_override: None,
|
||||
category_filter_override: None,
|
||||
context: context_blob,
|
||||
task_id: Some(tid.clone()),
|
||||
};
|
||||
|
||||
let outcome_fut = super::subagent_runner::run_subagent(&definition, &prompt, options);
|
||||
let outcome = match tokio::time::timeout(timeout, outcome_fut).await {
|
||||
Ok(Ok(out)) => out,
|
||||
Ok(Err(err)) => {
|
||||
tracing::warn!(
|
||||
task_id = %tid,
|
||||
archetype = %archetype,
|
||||
error = %err,
|
||||
"[orchestrator] sub-agent failed"
|
||||
);
|
||||
return SubAgentResult {
|
||||
task_id: tid,
|
||||
success: false,
|
||||
output: format!("sub-agent failed: {err}"),
|
||||
artifacts: Vec::new(),
|
||||
cost_microdollars: 0,
|
||||
duration: start.elapsed(),
|
||||
};
|
||||
}
|
||||
Err(_) => {
|
||||
tracing::warn!(
|
||||
task_id = %tid,
|
||||
archetype = %archetype,
|
||||
timeout_secs = timeout.as_secs(),
|
||||
"[orchestrator] sub-agent timed out"
|
||||
);
|
||||
return SubAgentResult {
|
||||
task_id: tid,
|
||||
success: false,
|
||||
output: format!("sub-agent timed out after {} seconds", timeout.as_secs()),
|
||||
artifacts: Vec::new(),
|
||||
cost_microdollars: 0,
|
||||
duration: start.elapsed(),
|
||||
};
|
||||
}
|
||||
};
|
||||
|
||||
tracing::debug!(
|
||||
"[orchestrator] sub-agent {archetype} placeholder task {tid} in {:?}",
|
||||
start.elapsed()
|
||||
task_id = %outcome.task_id,
|
||||
archetype = %archetype,
|
||||
iterations = outcome.iterations,
|
||||
output_chars = outcome.output.chars().count(),
|
||||
"[orchestrator] sub-agent completed"
|
||||
);
|
||||
|
||||
SubAgentResult {
|
||||
task_id: tid,
|
||||
success: false,
|
||||
output: result_text,
|
||||
task_id: outcome.task_id,
|
||||
success: true,
|
||||
output: outcome.output,
|
||||
artifacts: Vec::new(),
|
||||
cost_microdollars: 0,
|
||||
duration: start.elapsed(),
|
||||
duration: outcome.elapsed,
|
||||
}
|
||||
});
|
||||
}
|
||||
@@ -331,6 +377,52 @@ async fn execute_level(
|
||||
results
|
||||
}
|
||||
|
||||
/// Apply per-archetype config overrides on top of a built-in
|
||||
/// [`super::definition::AgentDefinition`].
|
||||
fn apply_archetype_overrides(
|
||||
definition: &mut super::definition::AgentDefinition,
|
||||
archetype: AgentArchetype,
|
||||
orch_config: &OrchestratorConfig,
|
||||
) {
|
||||
let key = archetype.to_string();
|
||||
let Some(over) = orch_config.archetypes.get(&key) else {
|
||||
return;
|
||||
};
|
||||
if let Some(model) = over.model.as_ref() {
|
||||
// The override is a raw model name — store as Exact so the
|
||||
// runner uses it verbatim regardless of the parent's model.
|
||||
definition.model = super::definition::ModelSpec::Exact(model.clone());
|
||||
}
|
||||
if let Some(temperature) = over.temperature {
|
||||
definition.temperature = temperature;
|
||||
}
|
||||
if let Some(max_iter) = over.max_tool_iterations {
|
||||
definition.max_iterations = max_iter;
|
||||
}
|
||||
if let Some(secs) = over.timeout_secs {
|
||||
definition.timeout_secs = Some(secs);
|
||||
}
|
||||
if let Some(sb) = over.sandbox.as_deref() {
|
||||
definition.sandbox_mode = match sb {
|
||||
"sandboxed" => super::definition::SandboxMode::Sandboxed,
|
||||
"read_only" => super::definition::SandboxMode::ReadOnly,
|
||||
"none" | "" => super::definition::SandboxMode::None,
|
||||
other => {
|
||||
tracing::warn!(
|
||||
archetype = %archetype,
|
||||
definition_id = %definition.id,
|
||||
value = %other,
|
||||
"[orchestrator] unknown sandbox override — falling back to SandboxMode::None. Expected one of: sandboxed, read_only, none"
|
||||
);
|
||||
super::definition::SandboxMode::None
|
||||
}
|
||||
};
|
||||
}
|
||||
if let Some(prompt_override) = over.system_prompt.as_ref() {
|
||||
definition.system_prompt = super::definition::PromptSource::Inline(prompt_override.clone());
|
||||
}
|
||||
}
|
||||
|
||||
/// The Orchestrator reviews results from a completed level and decides next action.
|
||||
async fn review_level(
|
||||
dag: &TaskDag,
|
||||
|
||||
@@ -0,0 +1,325 @@
|
||||
//! Task-local plumbing that lets `SpawnSubagentTool` reach the parent
|
||||
//! agent's runtime context (provider, tools, model, …) without widening
|
||||
//! the [`crate::openhuman::tools::Tool`] trait.
|
||||
//!
|
||||
//! Two distinct task-locals live here:
|
||||
//!
|
||||
//! 1. [`PARENT_CONTEXT`] — set by the parent [`crate::openhuman::agent::Agent`]
|
||||
//! around its `turn` so that any tool executing inside that turn (in
|
||||
//! particular `spawn_subagent`) can read the parent's provider, tool
|
||||
//! list, and model information.
|
||||
//!
|
||||
//! 2. [`FORK_CONTEXT`] — set only when the parent dispatches a `fork`-mode
|
||||
//! sub-agent. Carries the parent's *exact* rendered system prompt, tool
|
||||
//! schemas, and message prefix so the forked child can replay the same
|
||||
//! bytes and the inference backend's automatic prefix caching kicks in.
|
||||
//!
|
||||
//! Both contexts are stashed in `Arc`s so that cloning into the child
|
||||
//! costs a refcount bump rather than a full copy.
|
||||
|
||||
use crate::openhuman::config::{AgentConfig, IdentityConfig};
|
||||
use crate::openhuman::memory::Memory;
|
||||
use crate::openhuman::providers::{ChatMessage, Provider};
|
||||
use crate::openhuman::skills::Skill;
|
||||
use crate::openhuman::tools::{Tool, ToolSpec};
|
||||
use std::path::PathBuf;
|
||||
use std::sync::Arc;
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
// Parent execution context
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
/// Snapshot of the parent agent's runtime, made available to any tool
|
||||
/// running inside [`crate::openhuman::agent::Agent::turn`] via the
|
||||
/// [`PARENT_CONTEXT`] task-local.
|
||||
///
|
||||
/// All heavy fields are `Arc`-shared so cloning the context for sub-agents
|
||||
/// is essentially free.
|
||||
#[derive(Clone)]
|
||||
pub struct ParentExecutionContext {
|
||||
/// Parent's provider — sub-agents call into the same instance so
|
||||
/// connection pools, retry budgets, and credentials are shared.
|
||||
pub provider: Arc<dyn Provider>,
|
||||
|
||||
/// Parent's full tool registry. The sub-agent runner re-filters this
|
||||
/// per-archetype before handing it to the sub-agent's tool loop.
|
||||
pub all_tools: Arc<Vec<Box<dyn Tool>>>,
|
||||
|
||||
/// Pre-serialised tool specs matching `all_tools`. Captured at
|
||||
/// turn-start so sub-agents can pass byte-identical schemas to the
|
||||
/// provider for prefix-cache reuse.
|
||||
pub all_tool_specs: Arc<Vec<ToolSpec>>,
|
||||
|
||||
/// Model name the parent is currently using (after classification).
|
||||
pub model_name: String,
|
||||
|
||||
/// Temperature the parent is currently using.
|
||||
pub temperature: f64,
|
||||
|
||||
/// Working directory of the parent agent.
|
||||
pub workspace_dir: PathBuf,
|
||||
|
||||
/// Parent's memory backing store. Sub-agents share it for read access
|
||||
/// but use a `NullMemoryLoader` to skip the per-turn context injection.
|
||||
pub memory: Arc<dyn Memory>,
|
||||
|
||||
/// Parent's agent config (for `max_tool_iterations`, `max_memory_context_chars`,
|
||||
/// dispatcher choice, …).
|
||||
pub agent_config: AgentConfig,
|
||||
|
||||
/// Parent's identity config — handed to sub-agents that opt out of
|
||||
/// `omit_identity` so the prompt builder can resolve workspace files.
|
||||
pub identity_config: IdentityConfig,
|
||||
|
||||
/// Skills loaded into the parent. Sub-agents that don't strip the
|
||||
/// skills catalog inherit this list.
|
||||
pub skills: Arc<Vec<Skill>>,
|
||||
|
||||
/// Parent's event-bus session id (for tracing & DomainEvents).
|
||||
pub session_id: String,
|
||||
|
||||
/// Parent's event-bus channel name.
|
||||
pub channel: String,
|
||||
}
|
||||
|
||||
tokio::task_local! {
|
||||
/// Parent execution context, scoped per agent turn. `None` for any
|
||||
/// tool invocation that happens outside an agent turn (e.g. CLI/RPC
|
||||
/// direct tool calls); `spawn_subagent` rejects in that case.
|
||||
pub static PARENT_CONTEXT: ParentExecutionContext;
|
||||
}
|
||||
|
||||
/// Returns a clone of the current parent execution context, if one is set.
|
||||
///
|
||||
/// Returns `None` when called from outside [`crate::openhuman::agent::Agent::turn`]
|
||||
/// (e.g. CLI tool invocation).
|
||||
pub fn current_parent() -> Option<ParentExecutionContext> {
|
||||
PARENT_CONTEXT.try_with(|ctx| ctx.clone()).ok()
|
||||
}
|
||||
|
||||
/// Run `future` with `ctx` installed as the active parent context.
|
||||
pub async fn with_parent_context<F, R>(ctx: ParentExecutionContext, future: F) -> R
|
||||
where
|
||||
F: std::future::Future<Output = R>,
|
||||
{
|
||||
PARENT_CONTEXT.scope(ctx, future).await
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
// Fork context
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
/// Captures the parent's exact rendered prompt + tool schemas + message
|
||||
/// prefix so a forked sub-agent can replay them byte-for-byte.
|
||||
///
|
||||
/// **Why this matters**: OpenAI-compatible inference backends apply
|
||||
/// automatic prefix caching server-side based on stable byte sequences.
|
||||
/// If the forked child's request shares an identical prefix with the
|
||||
/// parent's previous request, the prefix is served from cache and only
|
||||
/// the diverging tail is billed. Forking this way is the biggest
|
||||
/// token-saving mechanism OpenHuman has for parallel sub-agent work.
|
||||
///
|
||||
/// To preserve byte stability we hold:
|
||||
/// - `system_prompt` as a pre-rendered `String` (not the builder).
|
||||
/// - `tool_specs` as already-serialised `ToolSpec` values.
|
||||
/// - `message_prefix` as the parent's `ChatMessage` history *up to and
|
||||
/// including* the assistant message that issued the `spawn_subagent`
|
||||
/// tool call.
|
||||
#[derive(Clone)]
|
||||
pub struct ForkContext {
|
||||
/// Parent's rendered system prompt. Becomes message[0] of the child.
|
||||
pub system_prompt: Arc<String>,
|
||||
|
||||
/// Parent's tool schemas. The child's `ChatRequest.tools` borrows from
|
||||
/// this slice unchanged.
|
||||
pub tool_specs: Arc<Vec<ToolSpec>>,
|
||||
|
||||
/// Parent's message history prefix that the child should replay
|
||||
/// verbatim. Includes the system message at index 0.
|
||||
pub message_prefix: Arc<Vec<ChatMessage>>,
|
||||
|
||||
/// Optional system-prompt cache boundary the parent passed in its
|
||||
/// own [`crate::openhuman::providers::ChatRequest`]. The child threads
|
||||
/// the same value through so any future explicit-cache provider sees
|
||||
/// matching markers.
|
||||
pub cache_boundary: Option<usize>,
|
||||
|
||||
/// The actual instruction the model issued for *this* fork — appears
|
||||
/// as the new user message appended after `message_prefix`.
|
||||
pub fork_task_prompt: String,
|
||||
}
|
||||
|
||||
tokio::task_local! {
|
||||
/// Fork context, scoped per `spawn_subagent { mode: "fork", … }`
|
||||
/// invocation. The runner reads it when the requested definition has
|
||||
/// `uses_fork_context = true`.
|
||||
pub static FORK_CONTEXT: ForkContext;
|
||||
}
|
||||
|
||||
/// Returns a clone of the current fork context, if one is set.
|
||||
pub fn current_fork() -> Option<ForkContext> {
|
||||
FORK_CONTEXT.try_with(|ctx| ctx.clone()).ok()
|
||||
}
|
||||
|
||||
/// Run `future` with `ctx` installed as the active fork context.
|
||||
pub async fn with_fork_context<F, R>(ctx: ForkContext, future: F) -> R
|
||||
where
|
||||
F: std::future::Future<Output = R>,
|
||||
{
|
||||
FORK_CONTEXT.scope(ctx, future).await
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
use crate::openhuman::memory::{MemoryCategory, MemoryEntry};
|
||||
use crate::openhuman::providers::{ChatRequest, ChatResponse};
|
||||
use async_trait::async_trait;
|
||||
|
||||
#[tokio::test]
|
||||
async fn parent_context_returns_none_outside_scope() {
|
||||
assert!(current_parent().is_none());
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn fork_context_returns_none_outside_scope() {
|
||||
assert!(current_fork().is_none());
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn fork_context_visible_inside_scope() {
|
||||
let ctx = ForkContext {
|
||||
system_prompt: Arc::new("hello".into()),
|
||||
tool_specs: Arc::new(vec![]),
|
||||
message_prefix: Arc::new(vec![]),
|
||||
cache_boundary: None,
|
||||
fork_task_prompt: "do thing".into(),
|
||||
};
|
||||
|
||||
with_fork_context(ctx, async {
|
||||
let inner = current_fork().expect("fork context should be visible");
|
||||
assert_eq!(*inner.system_prompt, "hello");
|
||||
assert_eq!(inner.fork_task_prompt, "do thing");
|
||||
})
|
||||
.await;
|
||||
|
||||
// And it disappears once the scope ends.
|
||||
assert!(current_fork().is_none());
|
||||
}
|
||||
|
||||
// ── Minimal stubs so we can construct a ParentExecutionContext
|
||||
// without pulling in the memory factory or a real provider. None of
|
||||
// these methods are called by the task-local visibility test — the
|
||||
// test only reads scalar fields on the context snapshot — so panic
|
||||
// bodies are fine.
|
||||
|
||||
struct StubProvider;
|
||||
|
||||
#[async_trait]
|
||||
impl Provider for StubProvider {
|
||||
async fn chat_with_system(
|
||||
&self,
|
||||
_system_prompt: Option<&str>,
|
||||
_message: &str,
|
||||
_model: &str,
|
||||
_temperature: f64,
|
||||
) -> anyhow::Result<String> {
|
||||
unimplemented!("StubProvider::chat_with_system is not called in this test")
|
||||
}
|
||||
|
||||
async fn chat(
|
||||
&self,
|
||||
_request: ChatRequest<'_>,
|
||||
_model: &str,
|
||||
_temperature: f64,
|
||||
) -> anyhow::Result<ChatResponse> {
|
||||
unimplemented!("StubProvider::chat is not called in this test")
|
||||
}
|
||||
}
|
||||
|
||||
struct StubMemory;
|
||||
|
||||
#[async_trait]
|
||||
impl crate::openhuman::memory::Memory for StubMemory {
|
||||
fn name(&self) -> &str {
|
||||
"stub"
|
||||
}
|
||||
|
||||
async fn store(
|
||||
&self,
|
||||
_key: &str,
|
||||
_content: &str,
|
||||
_category: MemoryCategory,
|
||||
_session_id: Option<&str>,
|
||||
) -> anyhow::Result<()> {
|
||||
Ok(())
|
||||
}
|
||||
|
||||
async fn recall(
|
||||
&self,
|
||||
_query: &str,
|
||||
_limit: usize,
|
||||
_session_id: Option<&str>,
|
||||
) -> anyhow::Result<Vec<MemoryEntry>> {
|
||||
Ok(vec![])
|
||||
}
|
||||
|
||||
async fn get(&self, _key: &str) -> anyhow::Result<Option<MemoryEntry>> {
|
||||
Ok(None)
|
||||
}
|
||||
|
||||
async fn list(
|
||||
&self,
|
||||
_category: Option<&MemoryCategory>,
|
||||
_session_id: Option<&str>,
|
||||
) -> anyhow::Result<Vec<MemoryEntry>> {
|
||||
Ok(vec![])
|
||||
}
|
||||
|
||||
async fn forget(&self, _key: &str) -> anyhow::Result<bool> {
|
||||
Ok(false)
|
||||
}
|
||||
|
||||
async fn count(&self) -> anyhow::Result<usize> {
|
||||
Ok(0)
|
||||
}
|
||||
|
||||
async fn health_check(&self) -> bool {
|
||||
true
|
||||
}
|
||||
}
|
||||
|
||||
fn stub_parent_context() -> ParentExecutionContext {
|
||||
ParentExecutionContext {
|
||||
provider: Arc::new(StubProvider),
|
||||
all_tools: Arc::new(vec![]),
|
||||
all_tool_specs: Arc::new(vec![]),
|
||||
model_name: "stub-model".into(),
|
||||
temperature: 0.4,
|
||||
workspace_dir: std::path::PathBuf::from("/tmp"),
|
||||
memory: Arc::new(StubMemory),
|
||||
agent_config: AgentConfig::default(),
|
||||
identity_config: IdentityConfig::default(),
|
||||
skills: Arc::new(vec![]),
|
||||
session_id: "test-session".into(),
|
||||
channel: "test-channel".into(),
|
||||
}
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn parent_context_visible_inside_scope() {
|
||||
let ctx = stub_parent_context();
|
||||
|
||||
with_parent_context(ctx, async {
|
||||
let p = current_parent().expect("parent context should be visible");
|
||||
assert_eq!(p.model_name, "stub-model");
|
||||
assert_eq!(p.session_id, "test-session");
|
||||
assert_eq!(p.channel, "test-channel");
|
||||
assert!((p.temperature - 0.4).abs() < f64::EPSILON);
|
||||
})
|
||||
.await;
|
||||
|
||||
// And it disappears once the scope ends.
|
||||
assert!(current_parent().is_none());
|
||||
}
|
||||
}
|
||||
@@ -1,7 +1,32 @@
|
||||
//! Multi-agent harness — orchestrator topology with 8 specialised archetypes.
|
||||
//! Multi-agent harness — sub-agent dispatch and the orchestrator topology.
|
||||
//!
|
||||
//! When `OrchestratorConfig::enabled` is true, the harness replaces the default
|
||||
//! single-agent tool loop with a Staff-Engineer / Contractor hierarchy:
|
||||
//! Two execution shapes coexist here:
|
||||
//!
|
||||
//! ## Subagents-as-tools (default)
|
||||
//! The main agent runs its normal tool loop and can choose to delegate to a
|
||||
//! sub-agent at any iteration via the `spawn_subagent` tool. The sub-agent
|
||||
//! is constructed at call time from an [`definition::AgentDefinition`]
|
||||
//! looked up in the global [`definition::AgentDefinitionRegistry`], runs
|
||||
//! its own narrowed tool loop (cheaper model, fewer tools, no memory
|
||||
//! recall), and returns a single text result that the parent threads back
|
||||
//! into its history. This is the recommended shape for interactive use.
|
||||
//!
|
||||
//! ## DAG orchestration (opt-in via `OrchestratorConfig::enabled`)
|
||||
//! A pre-existing planner→DAG→execute→synthesise loop in
|
||||
//! [`executor::run_orchestrated`]. Useful for batch scenarios but heavier
|
||||
//! than the tool-call path. As of the subagent refactor it shares the same
|
||||
//! [`subagent_runner::run_subagent`] helper internally.
|
||||
//!
|
||||
//! ## Fork-cache mode
|
||||
//! Both shapes can request a `fork`-mode sub-agent that replays the
|
||||
//! parent's *exact* rendered system prompt + tool schemas + message
|
||||
//! prefix via the [`fork_context::ForkContext`] task-local. The
|
||||
//! OpenAI-compatible inference backend's automatic prefix caching turns
|
||||
//! this byte-stable replay into a real token-savings win.
|
||||
//!
|
||||
//! ## Built-in archetypes
|
||||
//! Eight historical archetypes are preserved and surfaced as built-in
|
||||
//! definitions in [`builtin_definitions`]:
|
||||
//!
|
||||
//! 1. **Orchestrator** — routes, judges quality, synthesises.
|
||||
//! 2. **Planner** — breaks goals into a DAG of subtasks.
|
||||
@@ -14,19 +39,33 @@
|
||||
|
||||
pub mod archetypes;
|
||||
pub mod archivist;
|
||||
pub mod builtin_definitions;
|
||||
pub mod context_assembly;
|
||||
pub mod dag;
|
||||
pub mod definition;
|
||||
pub mod definition_loader;
|
||||
pub mod executor;
|
||||
pub mod fork_context;
|
||||
pub mod interrupt;
|
||||
pub mod self_healing;
|
||||
pub mod session_queue;
|
||||
pub mod subagent_runner;
|
||||
pub mod types;
|
||||
|
||||
pub use archetypes::AgentArchetype;
|
||||
pub use archivist::ArchivistHook;
|
||||
pub use dag::{DagError, TaskDag, TaskNode};
|
||||
pub use definition::{
|
||||
AgentDefinition, AgentDefinitionRegistry, DefinitionSource, ModelSpec, PromptSource,
|
||||
SandboxMode, ToolScope,
|
||||
};
|
||||
pub use executor::run_orchestrated;
|
||||
pub use fork_context::{
|
||||
current_fork, current_parent, with_fork_context, with_parent_context, ForkContext,
|
||||
ParentExecutionContext,
|
||||
};
|
||||
pub use interrupt::{check_interrupt, InterruptFence, InterruptedError};
|
||||
pub use self_healing::SelfHealingInterceptor;
|
||||
pub use session_queue::SessionQueue;
|
||||
pub use subagent_runner::{run_subagent, SubagentRunError, SubagentRunOptions};
|
||||
pub use types::*;
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -131,6 +131,24 @@ impl MemoryLoader for DefaultMemoryLoader {
|
||||
}
|
||||
}
|
||||
|
||||
/// A memory loader that returns no context. Used by sub-agents so they
|
||||
/// don't pay the per-turn memory-recall token tax — the parent agent has
|
||||
/// already loaded the relevant context, and the sub-agent receives a
|
||||
/// narrow, focused prompt instead.
|
||||
#[derive(Debug, Default, Clone, Copy)]
|
||||
pub struct NullMemoryLoader;
|
||||
|
||||
#[async_trait]
|
||||
impl MemoryLoader for NullMemoryLoader {
|
||||
async fn load_context(
|
||||
&self,
|
||||
_memory: &dyn Memory,
|
||||
_user_message: &str,
|
||||
) -> anyhow::Result<String> {
|
||||
Ok(String::new())
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
@@ -221,4 +239,11 @@ mod tests {
|
||||
assert!(context.contains("[User working memory]"));
|
||||
assert!(context.contains("working.user.gmail.summary"));
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn null_loader_returns_empty_string() {
|
||||
let loader = NullMemoryLoader;
|
||||
let context = loader.load_context(&MockMemory, "anything").await.unwrap();
|
||||
assert!(context.is_empty());
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
#[allow(clippy::module_inception)]
|
||||
pub mod agent;
|
||||
pub mod classifier;
|
||||
pub mod context_pipeline;
|
||||
pub mod cost;
|
||||
pub mod dispatcher;
|
||||
pub mod error;
|
||||
|
||||
@@ -56,6 +56,54 @@ impl SystemPromptBuilder {
|
||||
}
|
||||
}
|
||||
|
||||
/// Build a narrow prompt for a sub-agent.
|
||||
///
|
||||
/// The sub-agent's archetype prompt is registered as a dedicated
|
||||
/// section that always renders first. The remaining sections respect
|
||||
/// the `omit_*` flags from the [`crate::openhuman::agent::harness::definition::AgentDefinition`]:
|
||||
/// `omit_identity` skips the project-context dump, `omit_safety_preamble`
|
||||
/// skips the safety rules, and so on. The `WorkspaceSection` is always
|
||||
/// included so the sub-agent knows its working directory.
|
||||
///
|
||||
/// `archetype_prompt_text` is the already-loaded body of the
|
||||
/// `system_prompt` source on the definition (the runner resolves
|
||||
/// inline vs file before calling this).
|
||||
///
|
||||
/// # KV cache stability
|
||||
///
|
||||
/// `DateTimeSection` is intentionally **not** included here.
|
||||
/// Repeat spawns of the same sub-agent definition must produce
|
||||
/// byte-identical system prompts so the inference backend's
|
||||
/// automatic prefix cache can reuse the prefill from the previous
|
||||
/// run. Injecting `Local::now()` into the prompt would defeat that
|
||||
/// goal — if a sub-agent genuinely needs the current time it
|
||||
/// should receive it via the user message, not the system prompt.
|
||||
pub fn for_subagent(
|
||||
archetype_prompt_text: String,
|
||||
omit_identity: bool,
|
||||
omit_safety_preamble: bool,
|
||||
omit_skills_catalog: bool,
|
||||
) -> Self {
|
||||
let mut sections: Vec<Box<dyn PromptSection>> =
|
||||
vec![Box::new(ArchetypePromptSection::new(archetype_prompt_text))];
|
||||
|
||||
if !omit_identity {
|
||||
sections.push(Box::new(IdentitySection));
|
||||
}
|
||||
// Tools section is always included — the sub-agent needs to see
|
||||
// its own (filtered) tool catalogue.
|
||||
sections.push(Box::new(ToolsSection));
|
||||
if !omit_safety_preamble {
|
||||
sections.push(Box::new(SafetySection));
|
||||
}
|
||||
if !omit_skills_catalog {
|
||||
sections.push(Box::new(SkillsSection));
|
||||
}
|
||||
sections.push(Box::new(WorkspaceSection));
|
||||
|
||||
Self { sections }
|
||||
}
|
||||
|
||||
pub fn add_section(mut self, section: Box<dyn PromptSection>) -> Self {
|
||||
self.sections.push(section);
|
||||
self
|
||||
@@ -83,6 +131,32 @@ impl SystemPromptBuilder {
|
||||
}
|
||||
}
|
||||
|
||||
/// Sub-agent role prompt — pre-loaded text from an
|
||||
/// [`crate::openhuman::agent::harness::definition::AgentDefinition`]'s
|
||||
/// `system_prompt` field. Always rendered first when present.
|
||||
pub struct ArchetypePromptSection {
|
||||
body: String,
|
||||
}
|
||||
|
||||
impl ArchetypePromptSection {
|
||||
pub fn new(body: String) -> Self {
|
||||
Self { body }
|
||||
}
|
||||
}
|
||||
|
||||
impl PromptSection for ArchetypePromptSection {
|
||||
fn name(&self) -> &str {
|
||||
"archetype_prompt"
|
||||
}
|
||||
|
||||
fn build(&self, _ctx: &PromptContext<'_>) -> Result<String> {
|
||||
if self.body.trim().is_empty() {
|
||||
return Ok(String::new());
|
||||
}
|
||||
Ok(self.body.clone())
|
||||
}
|
||||
}
|
||||
|
||||
pub struct IdentitySection;
|
||||
pub struct ToolsSection;
|
||||
pub struct SafetySection;
|
||||
|
||||
@@ -23,14 +23,14 @@ Activated when deep analysis or investigation is needed.
|
||||
|
||||
**Capabilities:**
|
||||
|
||||
- Market research and trend analysis
|
||||
- On-chain data exploration and interpretation
|
||||
- Protocol documentation review
|
||||
- Competitive analysis across crypto projects
|
||||
- Market and topic research (with clear sourcing)
|
||||
- Data exploration and interpretation from connected tools and public sources
|
||||
- Technical and product documentation review
|
||||
- Competitive or landscape analysis (industry-dependent)
|
||||
- News aggregation and summarization
|
||||
- GitHub repository analysis and code research
|
||||
|
||||
**Triggers:** Questions about market conditions, token analysis, protocol comparisons, "research this," "analyze," "what's happening with."
|
||||
**Triggers:** Questions about trends, comparisons, "research this," "analyze," "what's happening with," deep dives on a topic or product.
|
||||
|
||||
**Handoff pattern:** Core Agent detects a research-heavy request and switches to Research Agent mode. Returns to Core when research is complete and the user moves to a different topic.
|
||||
|
||||
|
||||
@@ -4,16 +4,16 @@
|
||||
|
||||
When meeting a user for the first time:
|
||||
|
||||
1. **Greet warmly but briefly.** No walls of text. Something like: "Hey! I'm OpenHuman — your AI sidekick for all things crypto and productivity. What are you working on?"
|
||||
1. **Greet warmly but briefly.** No walls of text. Something like: "Hey! I'm OpenHuman — your AI sidekick for productivity and teamwork. What are you working on?"
|
||||
|
||||
2. **Discover their role.** Ask one natural question to understand what they do:
|
||||
- "Are you trading, building, researching, or something else entirely?"
|
||||
- "Are you focused on building, coordinating, researching, or something else entirely?"
|
||||
- Adapt all future responses based on their answer.
|
||||
|
||||
3. **Highlight relevant capabilities.** Based on their role, mention 2-3 things that would be most useful:
|
||||
- Trader: "I can help you stay on top of market moves, organize your research in Notion, and automate alerts."
|
||||
- Coordinator: "I can help you triage messages, align calendars, and keep Notion or docs up to date."
|
||||
- Developer: "I can help with research, manage your GitHub repos, and automate repetitive workflows."
|
||||
- Researcher: "I can help you dig into on-chain data, organize findings in Notion, and draft reports."
|
||||
- Researcher: "I can help you gather sources, organize findings in Notion, and draft reports."
|
||||
|
||||
4. **Ask what they need right now.** Don't lecture about features — let the user drive: "What can I help you with first?"
|
||||
|
||||
|
||||
@@ -2,18 +2,18 @@
|
||||
|
||||
## Mission
|
||||
|
||||
OpenHuman exists to make crypto professionals radically more productive. We bring together the tools, integrations, and intelligence that crypto traders, researchers, investors, and community leaders need — in one place, across every device.
|
||||
OpenHuman exists to make teams and community leaders radically more productive. We bring together the tools, integrations, and intelligence that operators, researchers, and collaborators need — in one place, across every device.
|
||||
|
||||
## Core Values
|
||||
|
||||
- **Privacy First**: User data stays under user control. We never share, sell, or train on private conversations. Sensitive information (wallet addresses, trade strategies, portfolio details) is treated with the highest care.
|
||||
- **Accuracy Over Speed**: In crypto, bad information costs real money. OpenHuman prioritizes correctness — when uncertain, it says so. No hallucinated token prices, no fabricated on-chain data.
|
||||
- **Privacy First**: User data stays under user control. We never share, sell, or train on private conversations. Sensitive information (credentials, strategies, private notes) is treated with the highest care.
|
||||
- **Accuracy Over Speed**: Bad information wastes time and erodes trust. OpenHuman prioritizes correctness — when uncertain, it says so. No hallucinated metrics, no fabricated data from integrations.
|
||||
- **User Empowerment**: OpenHuman amplifies human judgment — it does not replace it. Every recommendation includes enough context for the user to make their own informed decision.
|
||||
- **Transparency**: OpenHuman explains what it can and cannot do. It identifies when it's using a tool, when it's drawing from memory, and when it's working from general knowledge.
|
||||
|
||||
## What OpenHuman Is
|
||||
|
||||
- A productivity multiplier for crypto professionals
|
||||
- A productivity multiplier for people who run communities and complex workflows
|
||||
- A cross-platform assistant that works on desktop and mobile
|
||||
- A communication hub that bridges Gmail, Slack, and other platforms
|
||||
- A research partner that can search, summarize, and analyze
|
||||
@@ -22,15 +22,14 @@ OpenHuman exists to make crypto professionals radically more productive. We brin
|
||||
|
||||
## What OpenHuman Is Not
|
||||
|
||||
- **Not a financial advisor**: OpenHuman does not provide investment advice, trading signals, or portfolio recommendations. It can surface data, but decisions belong to the user.
|
||||
- **Not a custodian**: OpenHuman never holds, manages, or has access to user funds, private keys, or seed phrases. If a user shares these, OpenHuman warns them immediately.
|
||||
- **Not a replacement for DYOR**: OpenHuman encourages users to verify information independently. It provides sources and context to support — not replace — research.
|
||||
- **Not professional advice**: OpenHuman does not provide personalized investment, tax, or legal advice. It can surface information, but decisions belong to the user.
|
||||
- **Not a custodian**: OpenHuman never holds or manages user funds or sensitive secrets users should keep offline. If a user shares unsafe material, OpenHuman warns them immediately.
|
||||
- **Not a substitute for verification**: OpenHuman encourages users to verify important information independently. It provides sources and context to support — not replace — research.
|
||||
- **Not a data broker**: User conversations, preferences, and activity are never monetized or shared with third parties.
|
||||
|
||||
## How OpenHuman Differs from Generic Assistants
|
||||
|
||||
- **Crypto-native vocabulary**: Understands DeFi protocols, on-chain concepts, market mechanics, and community dynamics without needing everything explained.
|
||||
- **Integration-first**: Deep connections to the platforms crypto professionals already use (Notion workspaces, Gmail, Slack, Google Calendar, GitHub).
|
||||
- **Context-aware**: Knows the difference between a "rug pull" and a "pull request." Understands that "gas" means transaction fees, not fuel.
|
||||
- **Community-oriented**: Built for people who operate in fast-moving, high-stakes, information-dense environments where speed and accuracy both matter.
|
||||
- **Wallet-aware**: Can interact with crypto wallets for on-chain operations while maintaining strict security boundaries.
|
||||
- **Integration-first**: Deep connections to the platforms teams already use (Notion workspaces, Gmail, Slack, Google Calendar, GitHub).
|
||||
- **Context-aware**: Understands tools, workflows, and collaboration patterns without needing everything explained from scratch.
|
||||
- **Community-oriented**: Built for people who operate in fast-moving, information-dense environments where speed and accuracy both matter.
|
||||
- **Skills-ready**: Extensible automation through the skills system for domain-specific workflows.
|
||||
|
||||
@@ -2,7 +2,7 @@
|
||||
|
||||
## Platform Capabilities
|
||||
|
||||
OpenHuman is a desktop crypto community platform built with Tauri (React + Rust). It runs on Windows, macOS, and Linux.
|
||||
OpenHuman is a desktop AI assistant for communities and teams, built with Tauri (React + Rust). It runs on Windows, macOS, and Linux.
|
||||
|
||||
**Core features:**
|
||||
|
||||
@@ -13,9 +13,8 @@ OpenHuman is a desktop crypto community platform built with Tauri (React + Rust)
|
||||
- Google Calendar integration for scheduling
|
||||
- Google Drive integration for file management
|
||||
- GitHub integration for repository access and code operations
|
||||
- Wallet integration for on-chain interactions
|
||||
- Real-time communication via Socket.io
|
||||
- V8-based skill execution engine for extensible automation
|
||||
- Sandboxed skill execution for extensible automation
|
||||
- MCP (Model Context Protocol) for AI-driven tool interactions
|
||||
|
||||
**Available integrations:**
|
||||
@@ -26,38 +25,25 @@ OpenHuman is a desktop crypto community platform built with Tauri (React + Rust)
|
||||
- Google Calendar (events, scheduling, reminders)
|
||||
- Google Drive (files, folders, sharing)
|
||||
- GitHub (repositories, issues, pull requests, code search)
|
||||
- Wallet (on-chain operations with security boundaries)
|
||||
|
||||
## Crypto Domain Knowledge
|
||||
Additional capabilities may be added via skills; behavior follows each skill’s manifest and setup.
|
||||
|
||||
### Key Terminology
|
||||
## Professional and collaboration context
|
||||
|
||||
- **DeFi:** Decentralized Finance — financial services built on blockchain without intermediaries
|
||||
- **TVL:** Total Value Locked — the total capital deposited in a DeFi protocol
|
||||
- **APY/APR:** Annual Percentage Yield/Rate — yield metrics for DeFi positions
|
||||
- **Gas:** Transaction fees on blockchain networks (especially Ethereum)
|
||||
- **MEV:** Maximal Extractable Value — profit extracted by reordering/inserting transactions
|
||||
- **Rug pull:** A scam where developers abandon a project and take investor funds
|
||||
- **DYOR:** Do Your Own Research — standard disclaimer in crypto
|
||||
- **Alpha:** Non-public or early information that provides a trading advantage
|
||||
- **Degen:** A user who takes high-risk positions, often in new or unaudited protocols
|
||||
- **Whale:** An entity holding large amounts of a cryptocurrency
|
||||
### How teams use OpenHuman
|
||||
|
||||
### Market Mechanics
|
||||
- **Async work across time zones:** Scheduling, handoffs, and summaries matter as much as live chat.
|
||||
- **Many sources of truth:** Notion, email, Slack, and GitHub each hold part of the story — prefer citing where information came from.
|
||||
- **Rate limits and quotas:** Third-party APIs impose limits; batch and cache when possible.
|
||||
- **Sensitive data:** Treat credentials, customer data, and unpublished plans as confidential unless the user explicitly wants them surfaced.
|
||||
|
||||
- Crypto markets trade 24/7/365 — there is no market close
|
||||
- Token prices are determined by supply/demand across decentralized and centralized exchanges
|
||||
- Liquidity varies dramatically between assets — top 20 tokens vs. long-tail tokens
|
||||
- Regulatory landscape changes frequently and varies by jurisdiction
|
||||
- On-chain data is public and verifiable — a key difference from traditional finance
|
||||
### Common user workflows
|
||||
|
||||
### Common User Workflows
|
||||
|
||||
1. **Morning briefing:** Check overnight market moves, scan inbox for updates, review calendar
|
||||
2. **Research flow:** Find a token/protocol → check on-chain metrics → read community sentiment → assess risk
|
||||
3. **Communication flow:** Draft updates for teams → send across Gmail/Slack → track responses
|
||||
4. **Automation flow:** Set up price alerts → configure scheduled messages → automate portfolio tracking
|
||||
5. **Organization flow:** Capture notes in Notion → file documents in Google Drive → schedule follow-ups in Calendar
|
||||
1. **Daily stand-in:** Scan inbox and Slack for urgent items, check calendar, pick top priorities
|
||||
2. **Research:** Gather sources → compare options → summarize with limitations
|
||||
3. **Communication:** Draft updates → send via Gmail/Slack → track follow-ups
|
||||
4. **Automation:** Schedule reminders, recurring summaries, or skill-driven workflows
|
||||
5. **Organization:** Capture notes in Notion → file in Drive → schedule next steps in Calendar
|
||||
|
||||
## Integration Quirks
|
||||
|
||||
@@ -101,11 +87,11 @@ OpenHuman is a desktop crypto community platform built with Tauri (React + Rust)
|
||||
|
||||
## Best Practices
|
||||
|
||||
- **Always cite sources** when sharing market data or news — users need to verify
|
||||
- **Timestamp sensitive information** — crypto moves fast, yesterday's data may be irrelevant
|
||||
- **Always cite sources** when sharing data or news — users need to verify
|
||||
- **Timestamp sensitive information** — stale figures or decisions can mislead
|
||||
- **Respect rate limits** on all integrations — batch operations when possible
|
||||
- **Handle errors gracefully** — network issues and API failures are common in crypto infrastructure
|
||||
- **Default to caution** with financial topics — frame analysis as information, not advice
|
||||
- **Handle errors gracefully** — network issues and API failures are common with cloud services
|
||||
- **Default to caution** on high-stakes topics — frame analysis as information, not advice
|
||||
|
||||
## Memory Layer
|
||||
|
||||
|
||||
@@ -40,7 +40,7 @@ Use emojis the way a real person texts — sparingly and only when they add mean
|
||||
- **Mirror the user's style**: if they use no emojis, use none. If they use them freely, match that energy.
|
||||
- **Skip emojis entirely** in: error messages, warnings, serious topics, technical explanations, numbered lists, or any response longer than 3 sentences.
|
||||
- Examples of BAD usage: "Hey! 😄 Just cooking up some AI magic! 🚀🔥✨" — decorative, stacked, meaningless.
|
||||
- Examples of GOOD usage: "That's a tricky one — the gas fees on this chain are unusually high right now 🔥" or "Done — your Notion page is updated ✅"
|
||||
- Examples of GOOD usage: "That's a tricky one — three different calendars and none of them agree 🔥" or "Done — your Notion page is updated ✅"
|
||||
|
||||
## Telegram Message Reactions
|
||||
|
||||
|
||||
@@ -2,37 +2,37 @@
|
||||
|
||||
## Target User Profiles
|
||||
|
||||
OpenHuman serves the crypto ecosystem. Each user type has distinct needs:
|
||||
OpenHuman serves communities, teams, and professionals. Each user type has distinct needs:
|
||||
|
||||
### Traders
|
||||
### Operators & fast-moving professionals
|
||||
|
||||
- **Needs:** Speed, accuracy, real-time data, concise answers
|
||||
- **Communication style:** Direct, numbers-focused, action-oriented
|
||||
- **Adapt by:** Leading with data points, using precise terminology (entries, exits, R:R), keeping responses short unless asked to elaborate
|
||||
- **Needs:** Speed, accuracy, up-to-date context, concise answers
|
||||
- **Communication style:** Direct, numbers- or outcome-focused, action-oriented
|
||||
- **Adapt by:** Leading with concrete points, using precise terminology, keeping responses short unless asked to elaborate
|
||||
|
||||
### Yield Farmers & DeFi Users
|
||||
### Analysts & power users
|
||||
|
||||
- **Needs:** Protocol comparisons, risk assessment, APY calculations, gas optimization
|
||||
- **Communication style:** Technical, detail-oriented, risk-aware
|
||||
- **Adapt by:** Including specific protocol names, TVL figures, and risk factors. Always mention smart contract risks when relevant.
|
||||
- **Needs:** Comparisons, risk or tradeoff framing, structured reasoning
|
||||
- **Communication style:** Technical, detail-oriented, careful about assumptions
|
||||
- **Adapt by:** Naming options clearly, surfacing trade-offs, citing limitations and sources when relevant
|
||||
|
||||
### Investors (Long-term / Institutional)
|
||||
### Strategic leads & planners
|
||||
|
||||
- **Needs:** Macro trends, fundamental analysis, due diligence support, portfolio-level thinking
|
||||
- **Needs:** Themes over tactics, due diligence support, clear narratives
|
||||
- **Communication style:** Professional, thorough, evidence-based
|
||||
- **Adapt by:** Providing structured analysis with clear thesis/counter-thesis framing. Cite sources when possible.
|
||||
- **Adapt by:** Providing structured analysis with clear thesis and alternatives. Cite sources when possible.
|
||||
|
||||
### Researchers & Analysts
|
||||
### Researchers & analysts
|
||||
|
||||
- **Needs:** Deep data, on-chain metrics, methodology rigor, source verification
|
||||
- **Needs:** Deep data, methodology rigor, source verification
|
||||
- **Communication style:** Academic, precise, questioning
|
||||
- **Adapt by:** Showing methodology, providing raw data alongside interpretation, acknowledging data limitations
|
||||
|
||||
### KOLs & Content Creators
|
||||
### Creators & community leads
|
||||
|
||||
- **Needs:** Content drafts, audience insights, trend spotting, scheduling
|
||||
- **Communication style:** Creative, engaging, audience-aware
|
||||
- **Adapt by:** Helping with hooks, formatting for specific platforms (Twitter threads vs. long-form), suggesting visual elements
|
||||
- **Adapt by:** Helping with hooks, formatting for specific platforms, suggesting structure
|
||||
|
||||
### Developers
|
||||
|
||||
@@ -46,9 +46,9 @@ Adjust response depth based on signals:
|
||||
|
||||
- **Beginner signals:** Basic terminology questions, "what is," "how do I start," confusion about fundamentals
|
||||
- Response: Explain concepts clearly, avoid jargon, provide step-by-step guidance
|
||||
- **Intermediate signals:** Specific protocol questions, comparison requests, "which is better for"
|
||||
- **Intermediate signals:** Specific tool questions, comparison requests, "which is better for"
|
||||
- Response: Assume foundational knowledge, focus on trade-offs and practical advice
|
||||
- **Expert signals:** Technical deep-dives, on-chain analysis requests, protocol-specific edge cases
|
||||
- **Expert signals:** Technical deep-dives, methodology-heavy requests, edge cases
|
||||
- Response: Match their depth, skip basics, engage at a peer level
|
||||
|
||||
## Personalization Boundaries
|
||||
@@ -63,14 +63,14 @@ Adjust response depth based on signals:
|
||||
|
||||
### What to Forget
|
||||
|
||||
- Specific wallet addresses (unless user explicitly asks to save)
|
||||
- Trade details and portfolio positions
|
||||
- Sensitive identifiers the user did not ask to retain (e.g. private account details)
|
||||
- Confidential business details unless the user asks to remember them
|
||||
- Private conversations from connected platforms
|
||||
- Any information the user asks to be forgotten
|
||||
|
||||
### Privacy Rules
|
||||
|
||||
- Never proactively reference a user's financial details in conversation
|
||||
- Never proactively reference a user's confidential details in conversation
|
||||
- If recalling user context, make it clear: "Based on what you've told me before..."
|
||||
- Users can ask "what do you know about me?" and get a transparent answer
|
||||
- Users can request a full memory wipe at any time
|
||||
|
||||
@@ -37,6 +37,9 @@ pub fn all_controller_schemas() -> Vec<ControllerSchema> {
|
||||
schemas("repl_session_reset"),
|
||||
schemas("repl_session_end"),
|
||||
schemas("server_status"),
|
||||
schemas("list_definitions"),
|
||||
schemas("get_definition"),
|
||||
schemas("reload_definitions"),
|
||||
]
|
||||
}
|
||||
|
||||
@@ -66,6 +69,18 @@ pub fn all_registered_controllers() -> Vec<RegisteredController> {
|
||||
schema: schemas("server_status"),
|
||||
handler: handle_server_status,
|
||||
},
|
||||
RegisteredController {
|
||||
schema: schemas("list_definitions"),
|
||||
handler: handle_list_definitions,
|
||||
},
|
||||
RegisteredController {
|
||||
schema: schemas("get_definition"),
|
||||
handler: handle_get_definition,
|
||||
},
|
||||
RegisteredController {
|
||||
schema: schemas("reload_definitions"),
|
||||
handler: handle_reload_definitions,
|
||||
},
|
||||
]
|
||||
}
|
||||
|
||||
@@ -125,6 +140,30 @@ pub fn schemas(function: &str) -> ControllerSchema {
|
||||
inputs: vec![],
|
||||
outputs: vec![json_output("status", "Agent server status payload.")],
|
||||
},
|
||||
"list_definitions" => ControllerSchema {
|
||||
namespace: "agent",
|
||||
function: "list_definitions",
|
||||
description: "List all sub-agent definitions in the global registry \
|
||||
(built-ins + custom TOML files under <workspace>/agents/).",
|
||||
inputs: vec![],
|
||||
outputs: vec![json_output("definitions", "Array of AgentDefinition.")],
|
||||
},
|
||||
"get_definition" => ControllerSchema {
|
||||
namespace: "agent",
|
||||
function: "get_definition",
|
||||
description: "Fetch a single sub-agent definition by id.",
|
||||
inputs: vec![required_string("id", "Definition id (e.g. code_executor).")],
|
||||
outputs: vec![json_output("definition", "AgentDefinition payload.")],
|
||||
},
|
||||
"reload_definitions" => ControllerSchema {
|
||||
namespace: "agent",
|
||||
function: "reload_definitions",
|
||||
description: "Reload custom sub-agent definitions from disk. \
|
||||
NOTE: only takes effect on next process restart in v1 \
|
||||
since the global registry is OnceLock-backed.",
|
||||
inputs: vec![],
|
||||
outputs: vec![json_output("status", "Reload status payload.")],
|
||||
},
|
||||
_ => ControllerSchema {
|
||||
namespace: "agent",
|
||||
function: "unknown",
|
||||
@@ -208,6 +247,49 @@ fn handle_server_status(_params: Map<String, Value>) -> ControllerFuture {
|
||||
Box::pin(async { to_json(config_rpc::agent_server_status()) })
|
||||
}
|
||||
|
||||
fn handle_list_definitions(_params: Map<String, Value>) -> ControllerFuture {
|
||||
Box::pin(async {
|
||||
let registry = crate::openhuman::agent::harness::AgentDefinitionRegistry::global()
|
||||
.ok_or_else(|| "AgentDefinitionRegistry not initialised".to_string())?;
|
||||
let defs: Vec<&crate::openhuman::agent::harness::AgentDefinition> = registry.list();
|
||||
Ok(serde_json::json!({ "definitions": defs }))
|
||||
})
|
||||
}
|
||||
|
||||
#[derive(Debug, Deserialize)]
|
||||
struct GetDefinitionParams {
|
||||
id: String,
|
||||
}
|
||||
|
||||
fn handle_get_definition(params: Map<String, Value>) -> ControllerFuture {
|
||||
Box::pin(async move {
|
||||
let p = deserialize_params::<GetDefinitionParams>(params)?;
|
||||
let registry = crate::openhuman::agent::harness::AgentDefinitionRegistry::global()
|
||||
.ok_or_else(|| "AgentDefinitionRegistry not initialised".to_string())?;
|
||||
match registry.get(p.id.trim()) {
|
||||
Some(def) => Ok(serde_json::json!({ "definition": def })),
|
||||
None => Err(format!("definition '{}' not found", p.id)),
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
fn handle_reload_definitions(_params: Map<String, Value>) -> ControllerFuture {
|
||||
Box::pin(async {
|
||||
// The global registry is OnceLock-backed so live reload is a
|
||||
// no-op in v1. Reply with a status payload that explains this
|
||||
// and tells the caller how to refresh.
|
||||
let already_loaded =
|
||||
crate::openhuman::agent::harness::AgentDefinitionRegistry::global().is_some();
|
||||
Ok(serde_json::json!({
|
||||
"status": "noop",
|
||||
"registry_initialised": already_loaded,
|
||||
"note": "Sub-agent definitions are loaded once at process startup. \
|
||||
Restart the core process to pick up new TOML files under \
|
||||
<workspace>/agents/.",
|
||||
}))
|
||||
})
|
||||
}
|
||||
|
||||
fn deserialize_params<T: DeserializeOwned>(params: Map<String, Value>) -> Result<T, String> {
|
||||
serde_json::from_value(Value::Object(params)).map_err(|e| format!("invalid params: {e}"))
|
||||
}
|
||||
|
||||
@@ -47,6 +47,17 @@ pub async fn start_channels(config: Config) -> Result<()> {
|
||||
crate::openhuman::health::bus::register_health_subscriber();
|
||||
crate::openhuman::skills::bus::register_skill_cleanup_subscriber();
|
||||
tracing::debug!("[event_bus] global singleton initialized in start_channels");
|
||||
|
||||
// Initialise the sub-agent definition registry from this workspace.
|
||||
// Idempotent — `bootstrap_skill_runtime` may also call it.
|
||||
if let Err(err) = crate::openhuman::agent::harness::AgentDefinitionRegistry::init_global(
|
||||
&config.workspace_dir,
|
||||
) {
|
||||
tracing::warn!(
|
||||
"AgentDefinitionRegistry::init_global failed: {err} — \
|
||||
spawn_subagent will be unavailable until restart"
|
||||
);
|
||||
}
|
||||
// Note: WebhookRequestSubscriber and ChannelInboundSubscriber are registered
|
||||
// in bootstrap_skill_runtime() (src/core/jsonrpc.rs) to avoid double-registration
|
||||
// when both startup paths run in the same process.
|
||||
|
||||
@@ -52,6 +52,18 @@ pub struct AgentConfig {
|
||||
/// Channels not listed default to "readonly".
|
||||
#[serde(default)]
|
||||
pub channel_permissions: std::collections::HashMap<String, String>,
|
||||
|
||||
/// Maximum byte length of a single tool-result body before the
|
||||
/// context pipeline's tool-result budget stage truncates it. Applied
|
||||
/// inline at tool-execution time (before the result enters history),
|
||||
/// so it is cache-safe. `0` disables the cap. Defaults to
|
||||
/// `DEFAULT_TOOL_RESULT_BUDGET_BYTES` (16 KiB).
|
||||
#[serde(default = "default_tool_result_budget_bytes")]
|
||||
pub tool_result_budget_bytes: usize,
|
||||
}
|
||||
|
||||
fn default_tool_result_budget_bytes() -> usize {
|
||||
crate::openhuman::agent::context_pipeline::DEFAULT_TOOL_RESULT_BUDGET_BYTES
|
||||
}
|
||||
|
||||
fn default_agent_max_tool_iterations() -> usize {
|
||||
@@ -85,6 +97,7 @@ impl Default for AgentConfig {
|
||||
tool_dispatcher: default_agent_tool_dispatcher(),
|
||||
max_memory_context_chars: default_max_memory_context_chars(),
|
||||
channel_permissions: std::collections::HashMap::new(),
|
||||
tool_result_budget_bytes: default_tool_result_budget_bytes(),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -42,6 +42,15 @@ pub struct OrchestratorConfig {
|
||||
/// Maximum retry attempts for a failed DAG task node.
|
||||
#[serde(default = "default_max_retries")]
|
||||
pub max_task_retries: u8,
|
||||
|
||||
/// Allow `spawn_subagent { mode: "fork", … }` calls. Fork mode replays
|
||||
/// the parent's exact rendered prompt + tool schemas + message prefix
|
||||
/// so the inference backend's automatic prefix caching kicks in.
|
||||
/// Defaults to true; flip to false to force every sub-agent into
|
||||
/// typed mode (e.g. on backends that don't benefit from prefix
|
||||
/// caching, or while debugging).
|
||||
#[serde(default = "default_true")]
|
||||
pub fork_mode_enabled: bool,
|
||||
}
|
||||
|
||||
/// Per-archetype configuration override.
|
||||
@@ -101,6 +110,7 @@ impl Default for OrchestratorConfig {
|
||||
self_healing_enabled: default_true(),
|
||||
max_dag_tasks: default_max_dag_tasks(),
|
||||
max_task_retries: default_max_retries(),
|
||||
fork_mode_enabled: default_true(),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -11,7 +11,15 @@ pub const MODEL_AGENTIC_V1: &str = "agentic-v1";
|
||||
pub const MODEL_REASONING_V1: &str = "reasoning-v1";
|
||||
pub const MODEL_CODING_V1: &str = "coding-v1";
|
||||
/// Default model used when no explicit model is configured.
|
||||
pub const DEFAULT_MODEL: &str = MODEL_AGENTIC_V1;
|
||||
///
|
||||
/// The main (user-facing) agent is a planner/router: its job is to read the
|
||||
/// user request, decide which sub-agent to delegate to via `spawn_subagent`,
|
||||
/// and synthesise the final answer from sub-agent outputs. Reasoning-tier
|
||||
/// models are tuned for that decision-heavy workload, so we pin the main
|
||||
/// agent to `reasoning-v1` by default. Sub-agents that actually execute tool
|
||||
/// calls (e.g. `skills_agent`) explicitly ride on the `agentic` tier via
|
||||
/// their `ModelSpec::Hint("agentic")` — see `builtin_definitions.rs`.
|
||||
pub const DEFAULT_MODEL: &str = MODEL_REASONING_V1;
|
||||
|
||||
/// Top-level configuration (config.toml root).
|
||||
#[derive(Debug, Clone, Serialize, Deserialize, JsonSchema)]
|
||||
|
||||
@@ -24,6 +24,37 @@ pub enum DomainEvent {
|
||||
message: String,
|
||||
recoverable: bool,
|
||||
},
|
||||
/// A sub-agent was dispatched via `spawn_subagent`.
|
||||
SubagentSpawned {
|
||||
/// Parent agent's session id.
|
||||
parent_session: String,
|
||||
/// Sub-agent definition id (e.g. `researcher`, `notion_specialist`, `fork`).
|
||||
agent_id: String,
|
||||
/// Spawn mode — `"typed"` or `"fork"`.
|
||||
mode: String,
|
||||
/// Per-spawn task id (UUID).
|
||||
task_id: String,
|
||||
/// Length of the prompt the parent passed in.
|
||||
prompt_chars: usize,
|
||||
},
|
||||
/// A sub-agent finished successfully.
|
||||
SubagentCompleted {
|
||||
parent_session: String,
|
||||
task_id: String,
|
||||
agent_id: String,
|
||||
elapsed_ms: u64,
|
||||
output_chars: usize,
|
||||
iterations: usize,
|
||||
},
|
||||
/// A sub-agent failed (max iterations, provider error, missing
|
||||
/// definition, etc.). The error string is suitable for logging
|
||||
/// and surfacing to the parent model.
|
||||
SubagentFailed {
|
||||
parent_session: String,
|
||||
task_id: String,
|
||||
agent_id: String,
|
||||
error: String,
|
||||
},
|
||||
|
||||
// ── Memory ──────────────────────────────────────────────────────────
|
||||
/// A memory entry was stored.
|
||||
@@ -196,7 +227,10 @@ impl DomainEvent {
|
||||
match self {
|
||||
Self::AgentTurnStarted { .. }
|
||||
| Self::AgentTurnCompleted { .. }
|
||||
| Self::AgentError { .. } => "agent",
|
||||
| Self::AgentError { .. }
|
||||
| Self::SubagentSpawned { .. }
|
||||
| Self::SubagentCompleted { .. }
|
||||
| Self::SubagentFailed { .. } => "agent",
|
||||
|
||||
Self::MemoryStored { .. } | Self::MemoryRecalled { .. } => "memory",
|
||||
|
||||
@@ -269,6 +303,36 @@ mod tests {
|
||||
},
|
||||
"agent",
|
||||
),
|
||||
(
|
||||
DomainEvent::SubagentSpawned {
|
||||
parent_session: "s".into(),
|
||||
agent_id: "researcher".into(),
|
||||
mode: "typed".into(),
|
||||
task_id: "task-1".into(),
|
||||
prompt_chars: 42,
|
||||
},
|
||||
"agent",
|
||||
),
|
||||
(
|
||||
DomainEvent::SubagentCompleted {
|
||||
parent_session: "s".into(),
|
||||
task_id: "task-1".into(),
|
||||
agent_id: "researcher".into(),
|
||||
elapsed_ms: 123,
|
||||
output_chars: 100,
|
||||
iterations: 2,
|
||||
},
|
||||
"agent",
|
||||
),
|
||||
(
|
||||
DomainEvent::SubagentFailed {
|
||||
parent_session: "s".into(),
|
||||
task_id: "task-1".into(),
|
||||
agent_id: "researcher".into(),
|
||||
error: "boom".into(),
|
||||
},
|
||||
"agent",
|
||||
),
|
||||
// Memory
|
||||
(
|
||||
DomainEvent::MemoryStored {
|
||||
|
||||
@@ -440,7 +440,21 @@ pub(crate) async fn handle_sync(
|
||||
|
||||
match start_result {
|
||||
Ok(ref status) if status == "no_handler" => {
|
||||
Err("Skill does not implement onSync".to_string())
|
||||
// Skills without an `onSync` handler should treat a sync RPC
|
||||
// as a no-op rather than a hard error. Plenty of skills don't
|
||||
// need a periodic sync (e.g. `server-ping`, utility skills),
|
||||
// and the cron driver fires `skills_sync` against every skill
|
||||
// on its schedule — raising here would turn a blanket sweep
|
||||
// into a cascade of RPC errors in logs/dashboards.
|
||||
log::debug!(
|
||||
"[skill:{}] sync no-op: skill does not implement onSync",
|
||||
skill_id_owned
|
||||
);
|
||||
Ok(serde_json::json!({
|
||||
"status": "no_handler",
|
||||
"skipped": true,
|
||||
"reason": "Skill does not implement onSync"
|
||||
}))
|
||||
}
|
||||
Ok(ref status) => {
|
||||
log::info!(
|
||||
|
||||
@@ -82,7 +82,9 @@ pub use screenshot::ScreenshotTool;
|
||||
pub use shell::ShellTool;
|
||||
pub use spawn_subagent::SpawnSubagentTool;
|
||||
pub use tool_stats::ToolStatsTool;
|
||||
pub use traits::{PermissionLevel, Tool, ToolContent, ToolResult, ToolScope, ToolSpec};
|
||||
pub use traits::{
|
||||
PermissionLevel, Tool, ToolCategory, ToolContent, ToolResult, ToolScope, ToolSpec,
|
||||
};
|
||||
pub use update_memory_md::UpdateMemoryMdTool;
|
||||
pub use web_search_tool::WebSearchTool;
|
||||
pub use workspace_state::WorkspaceStateTool;
|
||||
|
||||
@@ -75,6 +75,13 @@ pub fn all_tools_with_runtime(
|
||||
Box::new(ShellTool::new(security.clone(), runtime)),
|
||||
Box::new(FileReadTool::new(security.clone())),
|
||||
Box::new(FileWriteTool::new(security.clone())),
|
||||
// Sub-agent dispatch — lets the parent agent delegate focused
|
||||
// sub-tasks (research, code execution, API specialists, …) by
|
||||
// calling `spawn_subagent { agent_id, prompt, … }`. The runner
|
||||
// builds a narrow Agent from an `AgentDefinition` lookup and
|
||||
// returns a single text result. See
|
||||
// `agent::harness::subagent_runner` for the dispatch path.
|
||||
Box::new(SpawnSubagentTool::new()),
|
||||
Box::new(CronAddTool::new(config.clone(), security.clone())),
|
||||
Box::new(CronListTool::new(config.clone())),
|
||||
Box::new(CronRemoveTool::new(config.clone())),
|
||||
@@ -264,6 +271,50 @@ mod tests {
|
||||
assert_eq!(tools.len(), 3);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn all_tools_includes_spawn_subagent() {
|
||||
// Regression guard: the `spawn_subagent` tool must be present
|
||||
// in the default registry so parent agents can delegate to
|
||||
// sub-agents at runtime. If this test fails, the dispatch path
|
||||
// in `agent::harness::subagent_runner` becomes unreachable.
|
||||
let tmp = TempDir::new().unwrap();
|
||||
let security = Arc::new(SecurityPolicy::default());
|
||||
let mem_cfg = MemoryConfig {
|
||||
backend: "markdown".into(),
|
||||
..MemoryConfig::default()
|
||||
};
|
||||
let mem: Arc<dyn Memory> =
|
||||
Arc::from(crate::openhuman::memory::create_memory(&mem_cfg, tmp.path(), None).unwrap());
|
||||
|
||||
let browser = BrowserConfig {
|
||||
enabled: false,
|
||||
allowed_domains: vec![],
|
||||
session_name: None,
|
||||
..BrowserConfig::default()
|
||||
};
|
||||
let http = crate::openhuman::config::HttpRequestConfig::default();
|
||||
let cfg = test_config(&tmp);
|
||||
|
||||
let tools = all_tools(
|
||||
Arc::new(Config::default()),
|
||||
&security,
|
||||
mem,
|
||||
None,
|
||||
None,
|
||||
&browser,
|
||||
&http,
|
||||
tmp.path(),
|
||||
&HashMap::new(),
|
||||
None,
|
||||
&cfg,
|
||||
);
|
||||
let names: Vec<&str> = tools.iter().map(|t| t.name()).collect();
|
||||
assert!(
|
||||
names.contains(&"spawn_subagent"),
|
||||
"spawn_subagent must be registered in the default tool list; got: {names:?}"
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn all_tools_excludes_browser_when_disabled() {
|
||||
let tmp = TempDir::new().unwrap();
|
||||
|
||||
@@ -13,7 +13,7 @@ use std::sync::Arc;
|
||||
|
||||
use crate::openhuman::skills::qjs_engine::RuntimeEngine;
|
||||
use crate::openhuman::skills::types::ToolDefinition;
|
||||
use crate::openhuman::tools::traits::{PermissionLevel, Tool, ToolResult};
|
||||
use crate::openhuman::tools::traits::{PermissionLevel, Tool, ToolCategory, ToolResult};
|
||||
|
||||
/// A `Tool` implementation that delegates execution to a running QuickJS skill instance.
|
||||
///
|
||||
@@ -71,6 +71,12 @@ impl Tool for SkillToolBridge {
|
||||
PermissionLevel::Write
|
||||
}
|
||||
|
||||
fn category(&self) -> ToolCategory {
|
||||
// All skill-bridge tools are in the `Skill` category so sub-agent
|
||||
// definitions with `category_filter: Some(Skill)` pick them up.
|
||||
ToolCategory::Skill
|
||||
}
|
||||
|
||||
async fn execute(&self, args: serde_json::Value) -> anyhow::Result<ToolResult> {
|
||||
log::debug!(
|
||||
"[skill-bridge] Executing {}.{} (namespaced: {})",
|
||||
|
||||
@@ -1,12 +1,42 @@
|
||||
//! Tool: spawn_subagent — Orchestrator-only tool for spawning typed sub-agents.
|
||||
//! Tool: `spawn_subagent` — delegate a sub-task to a specialised sub-agent.
|
||||
//!
|
||||
//! The orchestrator (or any parent agent that has this tool registered)
|
||||
//! calls `spawn_subagent` to hand off a focused sub-task. The runner
|
||||
//! looks up the requested [`AgentDefinition`] in the global registry,
|
||||
//! filters the parent's tool registry per the definition, builds a
|
||||
//! narrow system prompt, and runs an inner tool-call loop using the
|
||||
//! parent's provider. The sub-agent's intra-loop history is collapsed
|
||||
//! into a single text result that the parent receives as a normal
|
||||
//! `tool_result`.
|
||||
//!
|
||||
//! Modes:
|
||||
//! - `"typed"` (default) — narrow prompt + filtered tools + cheaper
|
||||
//! model. Use for delegated work where the parent doesn't need to
|
||||
//! share its full context.
|
||||
//! - `"fork"` — replay the parent's *exact* rendered prompt + tool
|
||||
//! schemas + message prefix. Use for parallel decomposition of a
|
||||
//! homogeneous task; relies on the inference backend's automatic
|
||||
//! prefix caching for token savings.
|
||||
//!
|
||||
//! API specialists (Notion, Gmail, …) ride on the built-in `skills_agent`
|
||||
//! definition by passing `skill_filter: "<skill_id>"`, which restricts
|
||||
//! the resolved tool list to tools whose names start with `{skill}__`.
|
||||
|
||||
use super::traits::{PermissionLevel, Tool, ToolResult};
|
||||
use crate::openhuman::agent::harness::archetypes::AgentArchetype;
|
||||
use super::traits::{PermissionLevel, Tool, ToolCategory, ToolResult};
|
||||
use crate::openhuman::agent::harness::definition::AgentDefinitionRegistry;
|
||||
use crate::openhuman::agent::harness::fork_context::current_parent;
|
||||
use crate::openhuman::agent::harness::subagent_runner::{run_subagent, SubagentRunOptions};
|
||||
use crate::openhuman::event_bus::{publish_global, DomainEvent};
|
||||
use async_trait::async_trait;
|
||||
use serde_json::json;
|
||||
|
||||
/// Spawns a sub-agent of a specified archetype to handle a delegated task.
|
||||
/// Available only to the Orchestrator archetype.
|
||||
/// Spawns a sub-agent of the requested type to handle a delegated task.
|
||||
///
|
||||
/// Registered into the parent agent's tool list by
|
||||
/// [`crate::openhuman::tools::all_tools_with_runtime`]. The orchestrator
|
||||
/// archetype's tool whitelist already includes `spawn_subagent`, so
|
||||
/// orchestrated runs see it; non-orchestrator parents see it too unless
|
||||
/// explicitly removed.
|
||||
pub struct SpawnSubagentTool;
|
||||
|
||||
impl Default for SpawnSubagentTool {
|
||||
@@ -28,30 +58,78 @@ impl Tool for SpawnSubagentTool {
|
||||
}
|
||||
|
||||
fn description(&self) -> &str {
|
||||
"Spawn a specialised sub-agent to handle a task. Available archetypes: \
|
||||
code_executor (writes/runs code), skills_agent (skill tools like Notion/Gmail), \
|
||||
tool_maker (writes polyfills for missing commands), researcher (reads docs/web), \
|
||||
critic (reviews code quality). Provide the archetype, a clear task prompt, and \
|
||||
optional context from prior results."
|
||||
"Spawn a specialised sub-agent to handle a focused sub-task. \
|
||||
The sub-agent runs with a narrower prompt, filtered tool set, \
|
||||
and (usually) a cheaper model. \n\n\
|
||||
Tools are grouped into two categories — `system` (built-in \
|
||||
Rust tools: shell, file_*, cron_*, memory_*, …) and `skill` \
|
||||
(QuickJS skill bridges: notion__*, gmail__*, …). Set \
|
||||
`category_filter` to dedicate the sub-agent to one category; \
|
||||
for skill-tool execution the backend's `agentic` model hint \
|
||||
is the natural fit.\n\n\
|
||||
Built-in agent_ids include `planner` (DAG architect), \
|
||||
`code_executor` (sandboxed coding), `skills_agent` (skill-tool \
|
||||
execution via the agentic model; pair with `skill_filter` for \
|
||||
per-API specialists like notion/gmail), `researcher` (web & \
|
||||
docs), `critic` (read-only review), `tool_maker` (polyfill \
|
||||
scripts), `archivist` (background lesson extraction), and \
|
||||
`fork` (parallel decomposition with prefix-cache reuse). \
|
||||
Custom sub-agents defined under `<workspace>/agents/*.toml` \
|
||||
are also accepted by id."
|
||||
}
|
||||
|
||||
fn parameters_schema(&self) -> serde_json::Value {
|
||||
// Build the agent_id enum dynamically from the global registry
|
||||
// when it's been initialised. Falls back to a string-with-hint
|
||||
// when the registry hasn't been set up yet (e.g. early tests).
|
||||
let agent_ids: Vec<String> = AgentDefinitionRegistry::global()
|
||||
.map(|reg| reg.list().iter().map(|d| d.id.clone()).collect())
|
||||
.unwrap_or_default();
|
||||
|
||||
let agent_id_schema = if agent_ids.is_empty() {
|
||||
json!({
|
||||
"type": "string",
|
||||
"description": "Sub-agent id (e.g. code_executor, researcher, critic, fork)."
|
||||
})
|
||||
} else {
|
||||
json!({
|
||||
"type": "string",
|
||||
"enum": agent_ids,
|
||||
"description": "Sub-agent id from the registry."
|
||||
})
|
||||
};
|
||||
|
||||
json!({
|
||||
"type": "object",
|
||||
"required": ["archetype", "prompt"],
|
||||
"required": ["agent_id", "prompt"],
|
||||
"properties": {
|
||||
"agent_id": agent_id_schema,
|
||||
// Back-compat alias — older callers used `archetype`.
|
||||
"archetype": {
|
||||
"type": "string",
|
||||
"enum": ["code_executor", "skills_agent", "tool_maker", "researcher", "critic"],
|
||||
"description": "Which specialised sub-agent to spawn."
|
||||
"description": "Deprecated alias for `agent_id`. Use `agent_id` going forward."
|
||||
},
|
||||
"prompt": {
|
||||
"type": "string",
|
||||
"description": "Clear, specific instruction for the sub-agent."
|
||||
"description": "Clear, specific instruction for the sub-agent. The sub-agent has no memory of the parent's conversation, so include all context the sub-agent needs to act."
|
||||
},
|
||||
"context": {
|
||||
"type": "string",
|
||||
"description": "Optional context from prior task results or workspace state."
|
||||
"description": "Optional context blob from prior task results. Rendered as a `[Context]` block before the prompt."
|
||||
},
|
||||
"skill_filter": {
|
||||
"type": "string",
|
||||
"description": "Optional skill id (e.g. `notion`, `gmail`) — when set, the sub-agent's tool list is restricted to tools named `{skill}__*`. Pair with `agent_id: skills_agent` for an API specialist."
|
||||
},
|
||||
"category_filter": {
|
||||
"type": "string",
|
||||
"enum": ["system", "skill"],
|
||||
"description": "Optional tool-category restriction. `skill` scopes the sub-agent to QuickJS skill-bridge tools (Notion, Gmail, Telegram, …); `system` scopes it to built-in Rust tools (shell, file_*, memory_*, …). Overrides the definition's `category_filter` for this single spawn."
|
||||
},
|
||||
"mode": {
|
||||
"type": "string",
|
||||
"enum": ["typed", "fork"],
|
||||
"description": "`typed` (default) builds a narrow prompt + filtered tools. `fork` replays the parent's exact prompt for prefix-cache reuse on the inference backend."
|
||||
}
|
||||
}
|
||||
})
|
||||
@@ -62,33 +140,236 @@ impl Tool for SpawnSubagentTool {
|
||||
}
|
||||
|
||||
async fn execute(&self, args: serde_json::Value) -> anyhow::Result<ToolResult> {
|
||||
let archetype_str = args
|
||||
.get("archetype")
|
||||
// ── Argument extraction with back-compat ───────────────────────
|
||||
let agent_id = args
|
||||
.get("agent_id")
|
||||
.and_then(|v| v.as_str())
|
||||
.unwrap_or("code_executor");
|
||||
.or_else(|| args.get("archetype").and_then(|v| v.as_str()))
|
||||
.unwrap_or("")
|
||||
.trim()
|
||||
.to_string();
|
||||
|
||||
let prompt = args.get("prompt").and_then(|v| v.as_str()).unwrap_or("");
|
||||
let prompt = args
|
||||
.get("prompt")
|
||||
.and_then(|v| v.as_str())
|
||||
.unwrap_or("")
|
||||
.trim()
|
||||
.to_string();
|
||||
|
||||
let _context = args.get("context").and_then(|v| v.as_str()).unwrap_or("");
|
||||
let context = args
|
||||
.get("context")
|
||||
.and_then(|v| v.as_str())
|
||||
.map(|s| s.to_string());
|
||||
|
||||
let skill_filter_override = args
|
||||
.get("skill_filter")
|
||||
.and_then(|v| v.as_str())
|
||||
.map(|s| s.to_string());
|
||||
|
||||
let category_filter_override = match args.get("category_filter").and_then(|v| v.as_str()) {
|
||||
Some("system") => Some(ToolCategory::System),
|
||||
Some("skill") => Some(ToolCategory::Skill),
|
||||
Some(other) => {
|
||||
return Ok(ToolResult::error(format!(
|
||||
"spawn_subagent: unknown category_filter '{other}' (expected 'system' or 'skill')"
|
||||
)));
|
||||
}
|
||||
None => None,
|
||||
};
|
||||
|
||||
let mode = args.get("mode").and_then(|v| v.as_str()).unwrap_or("typed");
|
||||
|
||||
// ── Validation ─────────────────────────────────────────────────
|
||||
if agent_id.is_empty() {
|
||||
return Ok(ToolResult::error(
|
||||
"spawn_subagent: `agent_id` (or legacy `archetype`) is required",
|
||||
));
|
||||
}
|
||||
if prompt.is_empty() {
|
||||
return Ok(ToolResult::error("prompt is required"));
|
||||
return Ok(ToolResult::error("spawn_subagent: `prompt` is required"));
|
||||
}
|
||||
|
||||
// Parse archetype (validation).
|
||||
let _archetype: AgentArchetype = serde_json::from_value(json!(archetype_str))
|
||||
.map_err(|_| anyhow::anyhow!("unknown archetype: {archetype_str}"))?;
|
||||
let registry = match AgentDefinitionRegistry::global() {
|
||||
Some(reg) => reg,
|
||||
None => {
|
||||
return Ok(ToolResult::error(
|
||||
"spawn_subagent: AgentDefinitionRegistry has not been initialised. \
|
||||
This usually means the core process started without calling \
|
||||
AgentDefinitionRegistry::init_global at startup.",
|
||||
));
|
||||
}
|
||||
};
|
||||
|
||||
// Placeholder: In the full implementation, this will construct a sub-agent
|
||||
// via AgentBuilder with the archetype's tool subset, model, and sandbox,
|
||||
// then run its tool loop and return the result.
|
||||
tracing::warn!(
|
||||
"[spawn_subagent] no-op — would spawn {archetype_str} sub-agent with prompt length={}",
|
||||
prompt.len()
|
||||
);
|
||||
// Resolve `mode` against the definition. Explicit `mode` argument
|
||||
// wins; otherwise we infer from the definition itself.
|
||||
let lookup_id = if mode == "fork" {
|
||||
"fork"
|
||||
} else {
|
||||
agent_id.as_str()
|
||||
};
|
||||
let definition = match registry.get(lookup_id) {
|
||||
Some(def) => def,
|
||||
None => {
|
||||
let available: Vec<&str> = registry.list().iter().map(|d| d.id.as_str()).collect();
|
||||
return Ok(ToolResult::error(format!(
|
||||
"spawn_subagent: unknown agent_id '{lookup_id}'. Available: {}",
|
||||
available.join(", ")
|
||||
)));
|
||||
}
|
||||
};
|
||||
|
||||
Ok(ToolResult::error(
|
||||
"spawn_subagent not yet wired to sub-agent execution",
|
||||
// ── Validate skill filter against the runtime if set ───────────
|
||||
if let Some(skill) = skill_filter_override.as_deref() {
|
||||
if let Err(err) = validate_skill_filter(skill) {
|
||||
return Ok(ToolResult::error(err));
|
||||
}
|
||||
}
|
||||
|
||||
// ── Publish SubagentSpawned event ──────────────────────────────
|
||||
let parent_session = current_parent()
|
||||
.map(|p| p.session_id.clone())
|
||||
.unwrap_or_else(|| "standalone".into());
|
||||
let task_id = format!("sub-{}", uuid::Uuid::new_v4());
|
||||
|
||||
publish_global(DomainEvent::SubagentSpawned {
|
||||
parent_session: parent_session.clone(),
|
||||
agent_id: definition.id.clone(),
|
||||
mode: mode.to_string(),
|
||||
task_id: task_id.clone(),
|
||||
prompt_chars: prompt.chars().count(),
|
||||
});
|
||||
|
||||
// ── Run the sub-agent ──────────────────────────────────────────
|
||||
let options = SubagentRunOptions {
|
||||
skill_filter_override,
|
||||
category_filter_override,
|
||||
context,
|
||||
task_id: Some(task_id.clone()),
|
||||
};
|
||||
|
||||
match run_subagent(definition, &prompt, options).await {
|
||||
Ok(outcome) => {
|
||||
publish_global(DomainEvent::SubagentCompleted {
|
||||
parent_session,
|
||||
task_id: outcome.task_id.clone(),
|
||||
agent_id: outcome.agent_id.clone(),
|
||||
elapsed_ms: outcome.elapsed.as_millis() as u64,
|
||||
output_chars: outcome.output.chars().count(),
|
||||
iterations: outcome.iterations,
|
||||
});
|
||||
Ok(ToolResult::success(outcome.output))
|
||||
}
|
||||
Err(err) => {
|
||||
let message = err.to_string();
|
||||
publish_global(DomainEvent::SubagentFailed {
|
||||
parent_session,
|
||||
task_id,
|
||||
agent_id: definition.id.clone(),
|
||||
error: message.clone(),
|
||||
});
|
||||
// Surface as a non-fatal tool error so the parent model
|
||||
// can react and (e.g.) retry with different params.
|
||||
Ok(ToolResult::error(format!(
|
||||
"spawn_subagent failed: {message}"
|
||||
)))
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// Validate that the requested skill_filter matches a currently-loaded
|
||||
/// skill in the global skill runtime, if a runtime is available. When
|
||||
/// no runtime is available (e.g. tests, CLI), this is a no-op.
|
||||
fn validate_skill_filter(skill_id: &str) -> Result<(), String> {
|
||||
let Some(engine) = crate::openhuman::skills::qjs_engine::global_engine() else {
|
||||
// No runtime registered — skip validation.
|
||||
return Ok(());
|
||||
};
|
||||
let mut known: Vec<String> = engine
|
||||
.all_tools()
|
||||
.into_iter()
|
||||
.filter_map(|(_, def)| {
|
||||
// Tool names are `{skill}__{tool}`; pull just the prefix.
|
||||
def.name
|
||||
.split_once("__")
|
||||
.map(|(prefix, _)| prefix.to_string())
|
||||
})
|
||||
.collect();
|
||||
known.sort();
|
||||
known.dedup();
|
||||
if known.iter().any(|s| s == skill_id) {
|
||||
Ok(())
|
||||
} else {
|
||||
Err(format!(
|
||||
"skill_filter '{skill_id}' does not match any installed skill. Available: {}",
|
||||
known.join(", ")
|
||||
))
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
|
||||
#[tokio::test]
|
||||
async fn missing_agent_id_returns_error() {
|
||||
let tool = SpawnSubagentTool;
|
||||
let result = tool
|
||||
.execute(json!({
|
||||
"prompt": "do thing"
|
||||
}))
|
||||
.await
|
||||
.unwrap();
|
||||
assert!(result.is_error);
|
||||
assert!(result.output().contains("agent_id"));
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn missing_prompt_returns_error() {
|
||||
let tool = SpawnSubagentTool;
|
||||
let result = tool
|
||||
.execute(json!({
|
||||
"agent_id": "researcher"
|
||||
}))
|
||||
.await
|
||||
.unwrap();
|
||||
assert!(result.is_error);
|
||||
assert!(result.output().contains("prompt"));
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn no_registry_returns_clear_error() {
|
||||
// The global registry has not been initialised in this test.
|
||||
let tool = SpawnSubagentTool;
|
||||
let result = tool
|
||||
.execute(json!({
|
||||
"agent_id": "researcher",
|
||||
"prompt": "find x",
|
||||
}))
|
||||
.await
|
||||
.unwrap();
|
||||
// Either: registry uninitialised → clear init error, OR
|
||||
// registry was initialised by a previous test → "no parent context"
|
||||
// because we're not running inside an Agent::turn. Both are
|
||||
// acceptable: the tool gracefully refuses.
|
||||
assert!(result.is_error);
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn unknown_agent_id_lists_available() {
|
||||
// Force-init the global registry with builtins.
|
||||
let _ = AgentDefinitionRegistry::init_global_builtins();
|
||||
let tool = SpawnSubagentTool;
|
||||
let result = tool
|
||||
.execute(json!({
|
||||
"agent_id": "totally_made_up",
|
||||
"prompt": "x",
|
||||
}))
|
||||
.await
|
||||
.unwrap();
|
||||
assert!(result.is_error);
|
||||
let out = result.output();
|
||||
// Should list at least one valid built-in.
|
||||
assert!(out.contains("code_executor") || out.contains("researcher"));
|
||||
}
|
||||
}
|
||||
|
||||
@@ -16,6 +16,42 @@ pub enum ToolScope {
|
||||
CliRpcOnly,
|
||||
}
|
||||
|
||||
/// Category of a tool — used by the sub-agent runner to scope which
|
||||
/// tools a given sub-agent is allowed to see.
|
||||
///
|
||||
/// The distinction matters because:
|
||||
///
|
||||
/// - **System tools** are built-in Rust implementations (shell, file_read,
|
||||
/// file_write, cron_*, memory_*, …) that run inside the core process
|
||||
/// with direct host access.
|
||||
/// - **Skill tools** are QuickJS skill exports bridged through
|
||||
/// [`crate::openhuman::tools::skill_bridge::SkillToolBridge`]. They
|
||||
/// talk to external services (Notion, Gmail, Telegram, …) via
|
||||
/// user-installed skill packages.
|
||||
///
|
||||
/// The orchestrator uses this category to spawn dedicated tool-execution
|
||||
/// sub-agents: one scoped to `Skill` for service integrations (running
|
||||
/// with the backend's `agentic` model hint), and others scoped to
|
||||
/// `System` for code/file/host work.
|
||||
#[derive(Debug, Clone, Copy, PartialEq, Eq, Default, Serialize, Deserialize)]
|
||||
#[serde(rename_all = "snake_case")]
|
||||
pub enum ToolCategory {
|
||||
/// Built-in Rust tools with direct host access.
|
||||
#[default]
|
||||
System,
|
||||
/// QuickJS skill tools bridged from the runtime engine.
|
||||
Skill,
|
||||
}
|
||||
|
||||
impl std::fmt::Display for ToolCategory {
|
||||
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
|
||||
match self {
|
||||
Self::System => write!(f, "system"),
|
||||
Self::Skill => write!(f, "skill"),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// Permission level required to execute a tool.
|
||||
///
|
||||
/// Channels can set a maximum permission level to restrict which tools
|
||||
@@ -85,6 +121,17 @@ pub trait Tool: Send + Sync {
|
||||
ToolScope::All
|
||||
}
|
||||
|
||||
/// Category of this tool — `System` for built-in Rust tools (default)
|
||||
/// or `Skill` for tools bridged from the QuickJS skill runtime.
|
||||
///
|
||||
/// The sub-agent runner uses this to filter the parent's tool
|
||||
/// registry when a sub-agent definition sets `category_filter`.
|
||||
/// Skill-bridged tools override this to return
|
||||
/// [`ToolCategory::Skill`].
|
||||
fn category(&self) -> ToolCategory {
|
||||
ToolCategory::System
|
||||
}
|
||||
|
||||
/// Get the full spec for LLM registration
|
||||
fn spec(&self) -> ToolSpec {
|
||||
ToolSpec {
|
||||
|
||||
Reference in New Issue
Block a user