Files
Teknium 43d468cea8 docs: comprehensive documentation audit — fix stale info, expand thin pages, add depth (#5393)
Major changes across 20 documentation pages:

Staleness fixes:
- Fix FAQ: wrong import path (hermes.agent → run_agent)
- Fix FAQ: stale Gemini 2.0 model → Gemini 3 Flash
- Fix integrations/index: missing MiniMax TTS provider
- Fix integrations/index: web_crawl is not a registered tool
- Fix sessions: add all 19 session sources (was only 5)
- Fix cron: add all 18 delivery targets (was only telegram/discord)
- Fix webhooks: add all delivery targets
- Fix overview: add missing MCP, memory providers, credential pools
- Fix all line-number references → use function name searches instead
- Update file size estimates (run_agent ~9200, gateway ~7200, cli ~8500)

Expanded thin pages (< 150 lines → substantial depth):
- honcho.md: 43 → 108 lines — added feature comparison, tools, config, CLI
- overview.md: 49 → 55 lines — added MCP, memory providers, credential pools
- toolsets-reference.md: 57 → 175 lines — added explanations, config examples,
  custom toolsets, wildcards, platform differences table
- optional-skills-catalog.md: 74 → 153 lines — added 25+ missing skills across
  communication, devops, mlops (18!), productivity, research categories
- integrations/index.md: 82 → 115 lines — added messaging, HA, plugins sections
- cron-internals.md: 90 → 195 lines — added job JSON example, lifecycle states,
  tick cycle, delivery targets, script-backed jobs, CLI interface
- gateway-internals.md: 111 → 250 lines — added architecture diagram, message
  flow, two-level guard, platform adapters, token locks, process management
- agent-loop.md: 112 → 235 lines — added entry points, API mode resolution,
  turn lifecycle detail, message alternation rules, tool execution flow,
  callback table, budget tracking, compression details
- architecture.md: 152 → 295 lines — added system overview diagram, data flow
  diagrams, design principles table, dependency chain

Other depth additions:
- context-references.md: added platform availability, compression interaction,
  common patterns sections
- slash-commands.md: added quick commands config example, alias resolution
- image-generation.md: added platform delivery table
- tools-reference.md: added tool counts, MCP tools note
- index.md: updated platform count (5 → 14+), tool count (40+ → 47)
2026-04-05 19:45:50 -07:00

275 lines
16 KiB
Markdown

---
sidebar_position: 1
title: "Architecture"
description: "Hermes Agent internals — major subsystems, execution paths, data flow, and where to read next"
---
# Architecture
This page is the top-level map of Hermes Agent internals. Use it to orient yourself in the codebase, then dive into subsystem-specific docs for implementation details.
## System Overview
```text
┌─────────────────────────────────────────────────────────────────────┐
│ Entry Points │
│ │
│ CLI (cli.py) Gateway (gateway/run.py) ACP (acp_adapter/) │
│ Batch Runner API Server Python Library │
└──────────┬──────────────┬───────────────────────┬────────────────────┘
│ │ │
▼ ▼ ▼
┌─────────────────────────────────────────────────────────────────────┐
│ AIAgent (run_agent.py) │
│ │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
│ │ Prompt │ │ Provider │ │ Tool │ │
│ │ Builder │ │ Resolution │ │ Dispatch │ │
│ │ (prompt_ │ │ (runtime_ │ │ (model_ │ │
│ │ builder.py) │ │ provider.py)│ │ tools.py) │ │
│ └──────┬───────┘ └──────┬───────┘ └──────┬───────┘ │
│ │ │ │ │
│ ┌──────┴───────┐ ┌──────┴───────┐ ┌──────┴───────┐ │
│ │ Compression │ │ 3 API Modes │ │ Tool Registry│ │
│ │ & Caching │ │ chat_compl. │ │ (registry.py)│ │
│ │ │ │ codex_resp. │ │ 47 tools │ │
│ │ │ │ anthropic │ │ 37 toolsets │ │
│ └──────────────┘ └──────────────┘ └──────────────┘ │
└─────────────────────────────────────────────────────────────────────┘
│ │
▼ ▼
┌───────────────────┐ ┌──────────────────────┐
│ Session Storage │ │ Tool Backends │
│ (SQLite + FTS5) │ │ Terminal (6 backends) │
│ hermes_state.py │ │ Browser (5 backends) │
│ gateway/session.py│ │ Web (4 backends) │
└───────────────────┘ │ MCP (dynamic) │
│ File, Vision, etc. │
└──────────────────────┘
```
## Directory Structure
```text
hermes-agent/
├── run_agent.py # AIAgent — core conversation loop (~9,200 lines)
├── cli.py # HermesCLI — interactive terminal UI (~8,500 lines)
├── model_tools.py # Tool discovery, schema collection, dispatch
├── toolsets.py # Tool groupings and platform presets
├── hermes_state.py # SQLite session/state database with FTS5
├── hermes_constants.py # HERMES_HOME, profile-aware paths
├── batch_runner.py # Batch trajectory generation
├── agent/ # Agent internals
│ ├── prompt_builder.py # System prompt assembly
│ ├── context_compressor.py # Conversation compression algorithm
│ ├── prompt_caching.py # Anthropic prompt caching
│ ├── auxiliary_client.py # Auxiliary LLM for side tasks (vision, summarization)
│ ├── model_metadata.py # Model context lengths, token estimation
│ ├── models_dev.py # models.dev registry integration
│ ├── anthropic_adapter.py # Anthropic Messages API format conversion
│ ├── display.py # KawaiiSpinner, tool preview formatting
│ ├── skill_commands.py # Skill slash commands
│ ├── memory_store.py # Persistent memory read/write
│ └── trajectory.py # Trajectory saving helpers
├── hermes_cli/ # CLI subcommands and setup
│ ├── main.py # Entry point — all `hermes` subcommands (~4,200 lines)
│ ├── config.py # DEFAULT_CONFIG, OPTIONAL_ENV_VARS, migration
│ ├── commands.py # COMMAND_REGISTRY — central slash command definitions
│ ├── auth.py # PROVIDER_REGISTRY, credential resolution
│ ├── runtime_provider.py # Provider → api_mode + credentials
│ ├── models.py # Model catalog, provider model lists
│ ├── model_switch.py # /model command logic (CLI + gateway shared)
│ ├── setup.py # Interactive setup wizard (~3,500 lines)
│ ├── skin_engine.py # CLI theming engine
│ ├── skills_config.py # hermes skills — enable/disable per platform
│ ├── skills_hub.py # /skills slash command
│ ├── tools_config.py # hermes tools — enable/disable per platform
│ ├── plugins.py # PluginManager — discovery, loading, hooks
│ ├── callbacks.py # Terminal callbacks (clarify, sudo, approval)
│ └── gateway.py # hermes gateway start/stop
├── tools/ # Tool implementations (one file per tool)
│ ├── registry.py # Central tool registry
│ ├── approval.py # Dangerous command detection
│ ├── terminal_tool.py # Terminal orchestration
│ ├── process_registry.py # Background process management
│ ├── file_tools.py # read_file, write_file, patch, search_files
│ ├── web_tools.py # web_search, web_extract
│ ├── browser_tool.py # 11 browser automation tools
│ ├── code_execution_tool.py # execute_code sandbox
│ ├── delegate_tool.py # Subagent delegation
│ ├── mcp_tool.py # MCP client (~1,050 lines)
│ ├── credential_files.py # File-based credential passthrough
│ ├── env_passthrough.py # Env var passthrough for sandboxes
│ ├── ansi_strip.py # ANSI escape stripping
│ └── environments/ # Terminal backends (local, docker, ssh, modal, daytona, singularity)
├── gateway/ # Messaging platform gateway
│ ├── run.py # GatewayRunner — message dispatch (~5,800 lines)
│ ├── session.py # SessionStore — conversation persistence
│ ├── delivery.py # Outbound message delivery
│ ├── pairing.py # DM pairing authorization
│ ├── hooks.py # Hook discovery and lifecycle events
│ ├── mirror.py # Cross-session message mirroring
│ ├── status.py # Token locks, profile-scoped process tracking
│ ├── builtin_hooks/ # Always-registered hooks
│ └── platforms/ # 14 adapters: telegram, discord, slack, whatsapp,
│ # signal, matrix, mattermost, email, sms,
│ # dingtalk, feishu, wecom, homeassistant, webhook
├── acp_adapter/ # ACP server (VS Code / Zed / JetBrains)
├── cron/ # Scheduler (jobs.py, scheduler.py)
├── plugins/memory/ # Memory provider plugins
├── environments/ # RL training environments (Atropos)
├── skills/ # Bundled skills (always available)
├── optional-skills/ # Official optional skills (install explicitly)
├── website/ # Docusaurus documentation site
└── tests/ # Pytest suite (~3,000+ tests)
```
## Data Flow
### CLI Session
```text
User input → HermesCLI.process_input()
→ AIAgent.run_conversation()
→ prompt_builder.build_system_prompt()
→ runtime_provider.resolve_runtime_provider()
→ API call (chat_completions / codex_responses / anthropic_messages)
→ tool_calls? → model_tools.handle_function_call() → loop
→ final response → display → save to SessionDB
```
### Gateway Message
```text
Platform event → Adapter.on_message() → MessageEvent
→ GatewayRunner._handle_message()
→ authorize user
→ resolve session key
→ create AIAgent with session history
→ AIAgent.run_conversation()
→ deliver response back through adapter
```
### Cron Job
```text
Scheduler tick → load due jobs from jobs.json
→ create fresh AIAgent (no history)
→ inject attached skills as context
→ run job prompt
→ deliver response to target platform
→ update job state and next_run
```
## Recommended Reading Order
If you are new to the codebase:
1. **This page** — orient yourself
2. **[Agent Loop Internals](./agent-loop.md)** — how AIAgent works
3. **[Prompt Assembly](./prompt-assembly.md)** — system prompt construction
4. **[Provider Runtime Resolution](./provider-runtime.md)** — how providers are selected
5. **[Adding Providers](./adding-providers.md)** — practical guide to adding a new provider
6. **[Tools Runtime](./tools-runtime.md)** — tool registry, dispatch, environments
7. **[Session Storage](./session-storage.md)** — SQLite schema, FTS5, session lineage
8. **[Gateway Internals](./gateway-internals.md)** — messaging platform gateway
9. **[Context Compression & Prompt Caching](./context-compression-and-caching.md)** — compression and caching
10. **[ACP Internals](./acp-internals.md)** — IDE integration
11. **[Environments, Benchmarks & Data Generation](./environments.md)** — RL training
## Major Subsystems
### Agent Loop
The synchronous orchestration engine (`AIAgent` in `run_agent.py`). Handles provider selection, prompt construction, tool execution, retries, fallback, callbacks, compression, and persistence. Supports three API modes for different provider backends.
→ [Agent Loop Internals](./agent-loop.md)
### Prompt System
Prompt construction and maintenance across the conversation lifecycle:
- **`prompt_builder.py`** — Assembles the system prompt from: personality (SOUL.md), memory (MEMORY.md, USER.md), skills, context files (AGENTS.md, .hermes.md), tool-use guidance, and model-specific instructions
- **`prompt_caching.py`** — Applies Anthropic cache breakpoints for prefix caching
- **`context_compressor.py`** — Summarizes middle conversation turns when context exceeds thresholds
→ [Prompt Assembly](./prompt-assembly.md), [Context Compression & Prompt Caching](./context-compression-and-caching.md)
### Provider Resolution
A shared runtime resolver used by CLI, gateway, cron, ACP, and auxiliary calls. Maps `(provider, model)` tuples to `(api_mode, api_key, base_url)`. Handles 18+ providers, OAuth flows, credential pools, and alias resolution.
→ [Provider Runtime Resolution](./provider-runtime.md)
### Tool System
Central tool registry (`tools/registry.py`) with 47 registered tools across 20 toolsets. Each tool file self-registers at import time. The registry handles schema collection, dispatch, availability checking, and error wrapping. Terminal tools support 6 backends (local, Docker, SSH, Daytona, Modal, Singularity).
→ [Tools Runtime](./tools-runtime.md)
### Session Persistence
SQLite-based session storage with FTS5 full-text search. Sessions have lineage tracking (parent/child across compressions), per-platform isolation, and atomic writes with contention handling.
→ [Session Storage](./session-storage.md)
### Messaging Gateway
Long-running process with 14 platform adapters, unified session routing, user authorization (allowlists + DM pairing), slash command dispatch, hook system, cron ticking, and background maintenance.
→ [Gateway Internals](./gateway-internals.md)
### Plugin System
Three discovery sources: `~/.hermes/plugins/` (user), `.hermes/plugins/` (project), and pip entry points. Plugins register tools, hooks, and CLI commands through a context API. Memory providers are a specialized plugin type under `plugins/memory/`.
→ [Plugin Guide](/docs/guides/build-a-hermes-plugin), [Memory Provider Plugin](./memory-provider-plugin.md)
### Cron
First-class agent tasks (not shell tasks). Jobs store in JSON, support multiple schedule formats, can attach skills and scripts, and deliver to any platform.
→ [Cron Internals](./cron-internals.md)
### ACP Integration
Exposes Hermes as an editor-native agent over stdio/JSON-RPC for VS Code, Zed, and JetBrains.
→ [ACP Internals](./acp-internals.md)
### RL / Environments / Trajectories
Full environment framework for evaluation and RL training. Integrates with Atropos, supports multiple tool-call parsers, and generates ShareGPT-format trajectories.
→ [Environments, Benchmarks & Data Generation](./environments.md), [Trajectories & Training Format](./trajectory-format.md)
## Design Principles
| Principle | What it means in practice |
|-----------|--------------------------|
| **Prompt stability** | System prompt doesn't change mid-conversation. No cache-breaking mutations except explicit user actions (`/model`). |
| **Observable execution** | Every tool call is visible to the user via callbacks. Progress updates in CLI (spinner) and gateway (chat messages). |
| **Interruptible** | API calls and tool execution can be cancelled mid-flight by user input or signals. |
| **Platform-agnostic core** | One AIAgent class serves CLI, gateway, ACP, batch, and API server. Platform differences live in the entry point, not the agent. |
| **Loose coupling** | Optional subsystems (MCP, plugins, memory providers, RL environments) use registry patterns and check_fn gating, not hard dependencies. |
| **Profile isolation** | Each profile (`hermes -p <name>`) gets its own HERMES_HOME, config, memory, sessions, and gateway PID. Multiple profiles run concurrently. |
## File Dependency Chain
```text
tools/registry.py (no deps — imported by all tool files)
tools/*.py (each calls registry.register() at import time)
model_tools.py (imports tools/registry + triggers tool discovery)
run_agent.py, cli.py, batch_runner.py, environments/
```
This chain means tool registration happens at import time, before any agent instance is created. Adding a new tool requires an import in `model_tools.py`'s `_discover_tools()` list.