Files
openhuman/src-tauri/src/alphahuman/config/schema/agent.rs
T
c2ff8b693b feat/openclaw (#128)
* feat: add initial project structure and documentation

- Introduced the GNU General Public License (GPL) v3 in LICENSE file.
- Added MCP configuration in .claude/mcp.json for server integration.
- Created architecture documentation in docs/ARCHITECTURE.md outlining the platform's design and components.
- Defined MVP specifications in docs/MVP.md for the Telegram-based Agent Assistant.
- Established API reference for team management in docs/teams-api-reference.md.
- Set up basic HTML structure in public/index.html and added logo image in public/logo.png.

* feat: add initial project documentation and HTML structure

- Introduced CODE_OF_CONDUCT.md to establish community guidelines and standards for behavior.
- Created CONTRIBUTING.md to outline contribution process, development setup, and project conventions.
- Added SECURITY.md to define the security policy, supported versions, and reporting procedures for vulnerabilities.
- Established basic HTML structure in index.html for the application interface.

* chore: remove hello-python skill files

- Deleted skill.json and skill.py files for the Hello Python example runtime skill, as they are no longer needed in the project.

* feat: port tinyhuman agent runtime from ZeroClaw into Tauri backend

Port daemon supervisor, health registry, security (policy, secrets, audit,
pairing), agent traits, and config modules from ZeroClaw (MIT) into a new
tinyhuman/ module under src-tauri/src/. The daemon auto-starts on desktop
and shuts down gracefully on app exit via CancellationToken.

- health: global HealthRegistry with component tracking and JSON snapshots
- security/policy: SecurityPolicy with command validation, risk levels, rate limiting
- security/secrets: ChaCha20-Poly1305 SecretStore with legacy XOR migration
- security/audit: AuditLogger with JSON-line events and log rotation
- security/pairing: PairingGuard with brute-force protection and SHA-256 hashing
- security/traits: Sandbox trait + NoopSandbox
- config: minimal DaemonConfig with autonomy, reliability, secrets, audit sub-configs
- daemon: supervisor with health state writer emitting Tauri events
- agent/traits: Provider, Tool, Memory, Observer, RuntimeAdapter traits + Noop impls
- commands/tinyhuman: Tauri commands for health, security policy, encrypt/decrypt
- 185 inline unit tests across all modules
- README updated with custom inference/tunneling/memory positioning

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: update README to reflect AlphaHuman Mk1 branding and enhanced description

- Changed project title to "AlphaHuman Mk1" for clarity.
- Revised project description to emphasize user-friendly AI capabilities and the use of the Neocortex Mk1 model.
- Removed outdated sections on custom inference, tunneling, and memory, streamlining the content for better readability.

* update readme

* Port zeroclaw runtime into tinyhuman

* Replace CLI mentions with UI language

* Split gateway module into smaller units

* Split channels and config schema modules

* Fix tinyhuman build, tests, and tunnel integration

* feat(tinyhuman): add missing modules and ui-friendly services

* refactor: rename tinyhuman to alphahuman

* chore: remove bottom text from Welcome component

* feat(settings): add tauri command console

* feat(daemon): enhance daemon mode handling and integrate rustls with ring feature

* feat(settings): implement comprehensive configuration management in TauriCommandsPanel

* refactor(TauriCommandsPanel): streamline error handling and enhance async function usage

* feat(settings): add skill management functionality to TauriCommandsPanel

* style(TauriCommandsPanel): update input styles for improved readability and user experience

* feat(settings): add Skills and Agent Chat panels with navigation and integration management

* feat(settings): implement browser access management in SkillsPanel and enhance AgentChatPanel with local storage functionality

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-20 13:03:15 +04:00

70 lines
2.0 KiB
Rust

//! Agent and delegate agent configuration.
use schemars::JsonSchema;
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
/// Configuration for a delegate sub-agent used by the `delegate` tool.
#[derive(Debug, Clone, Serialize, Deserialize, JsonSchema)]
pub struct DelegateAgentConfig {
/// Provider name (e.g. "ollama", "openrouter", "anthropic")
pub provider: String,
/// Model name
pub model: String,
/// Optional system prompt for the sub-agent
#[serde(default)]
pub system_prompt: Option<String>,
/// Optional API key override
#[serde(default)]
pub api_key: Option<String>,
/// Temperature override
#[serde(default)]
pub temperature: Option<f64>,
/// Max recursion depth for nested delegation
#[serde(default = "default_max_depth")]
pub max_depth: u32,
}
fn default_max_depth() -> u32 {
3
}
#[derive(Debug, Clone, Serialize, Deserialize, JsonSchema)]
pub struct AgentConfig {
/// When true: bootstrap_max_chars=6000, rag_chunk_limit=2. Use for 13B or smaller models.
#[serde(default)]
pub compact_context: bool,
#[serde(default = "default_agent_max_tool_iterations")]
pub max_tool_iterations: usize,
#[serde(default = "default_agent_max_history_messages")]
pub max_history_messages: usize,
#[serde(default)]
pub parallel_tools: bool,
#[serde(default = "default_agent_tool_dispatcher")]
pub tool_dispatcher: String,
}
fn default_agent_max_tool_iterations() -> usize {
10
}
fn default_agent_max_history_messages() -> usize {
50
}
fn default_agent_tool_dispatcher() -> String {
"auto".into()
}
impl Default for AgentConfig {
fn default() -> Self {
Self {
compact_context: false,
max_tool_iterations: default_agent_max_tool_iterations(),
max_history_messages: default_agent_max_history_messages(),
parallel_tools: false,
tool_dispatcher: default_agent_tool_dispatcher(),
}
}
}