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retoor 2025-12-26 10:16:59 +01:00
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2
Makefile
View File

@ -2,7 +2,7 @@ all: build build_rpylib run build_mingw
# Variables for compiler and flags
CC = gcc
CFLAGS = -Ofast -Werror -Wall -lreadline -lncurses -lcurl -ljson-c -lsqlite3 -lm $(pkg-config --cflags --libs gnutls gmp) -lssl -lcrypto
CFLAGS = -Ofast -Werror -Wall -lreadline -lncurses -lcurl -ljson-c -lsqlite3 -lm -lpthread $(pkg-config --cflags --libs gnutls gmp) -lssl -lcrypto
# MinGW Variables
MINGW_CC = x86_64-w64-mingw32-gcc # Change to x86_64-w64-mingw32-gcc for 64-bit

292
README.md
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@ -1,36 +1,292 @@
# Henry IRC Server
# R
A simple IRC server implemented in Python as a package named `henry`.
Author: retoor <retoor@molodetz.nl>
R is a command-line AI assistant written in C that provides an autonomous agent with full system access through function calling. It interfaces with OpenAI-compatible APIs and operates in an agentic loop, reasoning about tasks, executing tools, and iterating until goals are achieved.
## Features
- Basic IRC commands: NICK, USER, JOIN, PRIVMSG, QUIT
- Supports multiple clients and channels
### Autonomous Agent Architecture
- ReAct (Reasoning + Acting) pattern implementation
- Automatic tool execution loop with up to 300 iterations
- Intelligent response parsing to detect incomplete work
- Automatic continuation when tasks require multiple steps
- Built-in retry logic for API failures
### AI Provider Support
- OpenAI API (default)
- Anthropic Claude
- Ollama (self-hosted)
- Grok
- Any OpenAI-compatible API endpoint
### Tool System
The agent has access to 15+ tools exposed via JSON schema descriptions:
| Tool | Description |
|------|-------------|
| `linux_terminal_execute` | Execute shell commands with output capture |
| `linux_terminal_execute_interactive` | Execute interactive commands (vim, htop, etc.) |
| `read_file` | Read file contents |
| `write_file` | Write content to files with automatic parent directory creation |
| `directory_glob` | List directory contents with file metadata |
| `mkdir` | Create directories recursively |
| `chdir` | Change working directory |
| `getpwd` | Get current working directory |
| `http_fetch` | Fetch URL contents via HTTP GET |
| `web_search` | Search the web for information |
| `web_search_news` | Search for news articles |
| `db_set` | Store key-value pairs in local SQLite database |
| `db_get` | Retrieve values from database |
| `db_query` | Execute arbitrary SQL queries |
| `index_source_directory` | Index source files with contents |
| `python_execute` | Execute Python code and capture output |
### Database
- Local SQLite database at `~/.r.db`
- Persistent key-value storage
- Full SQL query support
- File version history tracking
### REPL Interface
- Readline integration with tab completion
- Persistent command history at `~/.r_history`
- Markdown syntax highlighting in terminal output
- Session management for separate conversation contexts
### REPL Commands
| Command | Description |
|---------|-------------|
| `!dump` | Show raw message JSON |
| `!clear` | Clear conversation history |
| `!session` | Display current session info |
| `!verbose` | Toggle verbose mode |
| `!tools` | List available tools |
| `!models` | Show available models |
| `!model <name>` | Switch AI model |
| `exit` | Exit the REPL |
## Installation
Clone the repository or copy the `henry` package directory.
### Dependencies
```
libcurl json-c readline ncurses sqlite3 gnutls gmp openssl
```
On Debian/Ubuntu:
```bash
apt install libcurl4-openssl-dev libjson-c-dev libreadline-dev libncurses-dev libsqlite3-dev libgnutls28-dev libgmp-dev libssl-dev
```
### Build
```bash
make build
```
The binary is output to `bin/r` and copied to `./r`.
### Cross-Compilation
```bash
make build_mingw # Windows executable
```
### AppImage
```bash
make appimage # Creates portable r-x86_64.AppImage
```
## Configuration
### Environment Variables
| Variable | Description | Example |
|----------|-------------|---------|
| `R_KEY` | API key (takes precedence over OPENAI_API_KEY) | `sk-...` |
| `OPENAI_API_KEY` | OpenAI API key (fallback) | `sk-...` |
| `OPENROUTER_API_KEY` | OpenRouter API key | `sk-or-...` |
| `R_BASE_URL` | Custom API base URL (without /v1/...) | `https://openrouter.ai/api` |
| `R_MODEL` | AI model name | `gpt-4o`, `x-ai/grok-code-fast-1` |
| `R_USE_TOOLS` | Enable/disable function calling | `true`, `false`, `1`, `0` |
| `R_USE_STRICT` | Enable strict mode for tool schemas | `true`, `false`, `1`, `0` |
| `R_SYSTEM_MESSAGE` | Custom system prompt injected at startup | Any text |
| `R_SESSION` | Default session name for conversation persistence | `myproject`, `$(date)` |
### Context Files
- `.rcontext.txt` - Project-specific context (current directory)
- `~/.rcontext.txt` - Global user context
## Bash Integration
Integrate R as a fallback command handler in bash. When a command is not found, R will attempt to interpret it as a natural language query with automatic date-based sessions.
Add to `~/.bashrc`:
```bash
export R_BASE_URL="https://openrouter.ai/api"
export R_KEY="$OPENROUTER_API_KEY"
export R_MODEL="x-ai/grok-code-fast-1"
export R_SESSION=$(date +%Y-%m-%d)
command_not_found_handle() {
script_path="/path/to/r"
first_argument="$1"
if "$script_path" "$@"; then
echo -e ""
else
echo "bash: $first_argument: command not found"
fi
}
```
This enables:
- Automatic session per day via `R_SESSION=$(date +%Y-%m-%d)`
- Natural language commands directly in terminal
- Fallback to standard "command not found" on failure
## Why Terminal AI
Having an AI agent directly in your terminal eliminates context switching. Instead of copying error messages to a browser, describing your environment, or explaining file contents, the agent can see and act on everything directly.
### Practical Examples
**Debug errors instantly**
```bash
./r "The build failed, check the error and fix it"
# Agent reads error output, identifies the issue, edits the file, rebuilds
```
**Explore unfamiliar codebases**
```bash
./r "How does authentication work in this project?"
# Agent searches files, reads relevant code, explains the flow
```
**Automate repetitive tasks**
```bash
./r "Rename all .jpeg files to .jpg and create a backup folder first"
# Agent creates directory, moves files with proper naming
```
**System administration**
```bash
./r "Check disk usage and find the largest files in /var/log"
# Agent runs du, finds large files, presents a summary
```
**Database operations**
```bash
./r "Show me all users who signed up last week"
# Agent queries the database, formats results
```
**Web research while coding**
```bash
./r "What's the correct syntax for a PostgreSQL upsert?"
# Agent searches the web, returns the answer with examples
```
**Code generation**
```bash
./r "Write a Python script that monitors CPU usage and alerts if above 90%"
# Agent writes the script, saves it, makes it executable
```
**Git workflows**
```bash
./r "Show what changed since yesterday and summarize the commits"
# Agent runs git log, git diff, provides summary
```
**File operations**
```bash
./r "Find all TODO comments in this project and list them by file"
# Agent greps through codebase, organizes findings
```
**Data processing**
```bash
cat data.csv | ./r --stdin "Calculate the average of the third column"
# Agent processes piped data, returns calculation
```
**Multi-step tasks**
```bash
./r "Set up a new Python virtualenv, install requests and pytest, create a basic test file"
# Agent executes multiple commands in sequence, creates files
```
**Environment inspection**
```bash
./r "What ports are in use and what processes are using them?"
# Agent runs netstat/lsof, explains the output
```
The agent maintains conversation context within sessions, so follow-up queries understand previous actions. Combined with the bash integration, any unrecognized command becomes a natural language query to the AI.
## Usage
Run the IRC server using the CLI entry point:
### Interactive Mode
```bash
python -m henry.cli
./r
```
The server listens on `127.0.0.1:6667` by default.
## Connecting
Use any IRC client to connect to `localhost` on port `6667`.
## Example
### Single Query
```bash
# Using irssi client
irssi -c 127.0.0.1 -p 6667
./r "What files are in the current directory?"
```
### With Piped Input
```bash
cat error.log | ./r --stdin "Analyze these errors"
```
### With Context File
```bash
./r --context project_docs.txt "Explain this project"
```
### Session Management
```bash
./r --session=myproject # Named session
./r -s myproject # Short form
```
### Options
| Flag | Description |
|------|-------------|
| `--verbose` | Enable verbose output |
| `--stdin` | Read prompt from stdin |
| `--context <file>` | Include file as context |
| `--py <file>` | Include Python file |
| `--session <name>` | Use named session |
| `--nh` | Disable syntax highlighting |
| `--free` | Use free tier API |
| `--api` | API mode |
## Architecture
### Header-Only Design
The codebase uses a header-only architecture where `.h` files contain both declarations and implementations. All code compiles through includes from `main.c`.
### Core Components
| File | Purpose |
|------|---------|
| `main.c` | Entry point, REPL loop, argument parsing |
| `agent.h` | Autonomous agent loop with ReAct pattern |
| `r.h` | Global configuration and environment handling |
| `auth.h` | API key resolution |
| `openai.h` | API communication |
| `chat.h` | JSON prompt construction |
| `messages.h` | Conversation history management |
| `tools.h` | Tool definitions and execution dispatcher |
| `http_curl.h` | libcurl wrapper for HTTP requests |
| `line.h` | Readline integration |
| `db_utils.h` | SQLite operations |
| `browse.h` | Web search functionality |
| `markdown.h` | Terminal markdown rendering |
| `utils.h` | Path utilities |
| `indexer.h` | Source directory indexing |
## License
MIT

45
http_curl.h
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@ -29,10 +29,12 @@
#include "auth.h"
#include <curl/curl.h>
#include <pthread.h>
#include <stdint.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <time.h>
#include <unistd.h>
struct ResponseBuffer {
@ -65,11 +67,40 @@ static size_t WriteCallback(void *contents, size_t size, size_t nmemb,
#define HTTP_MAX_RETRIES 3
#define HTTP_RETRY_DELAY_MS 2000
static struct timespec spinner_start_time = {0, 0};
static volatile int spinner_running = 0;
static double get_elapsed_seconds() {
struct timespec now;
clock_gettime(CLOCK_MONOTONIC, &now);
return (now.tv_sec - spinner_start_time.tv_sec) +
(now.tv_nsec - spinner_start_time.tv_nsec) / 1e9;
}
static void *spinner_thread(void *arg) {
(void)arg;
const char *frames[] = {"⠋", "⠙", "⠹", "⠸", "⠼", "⠴", "⠦", "⠧", "⠇", "⠏"};
int frame = 0;
while (spinner_running) {
double elapsed = get_elapsed_seconds();
fprintf(stderr, "\r%s Querying AI... (%.1fs) ", frames[frame % 10], elapsed);
fflush(stderr);
frame++;
usleep(80000);
}
return NULL;
}
char *curl_post(const char *url, const char *data) {
CURL *curl;
CURLcode res;
struct ResponseBuffer response = {NULL, 0};
int retry_count = 0;
pthread_t spinner_tid;
clock_gettime(CLOCK_MONOTONIC, &spinner_start_time);
spinner_running = 1;
pthread_create(&spinner_tid, NULL, spinner_thread, NULL);
while (retry_count < HTTP_MAX_RETRIES) {
if (response.data) {
@ -78,6 +109,8 @@ char *curl_post(const char *url, const char *data) {
response.data = malloc(1);
response.size = 0;
if (!response.data) {
spinner_running = 0;
pthread_join(spinner_tid, NULL);
return NULL;
}
response.data[0] = '\0';
@ -85,6 +118,8 @@ char *curl_post(const char *url, const char *data) {
curl = curl_easy_init();
if (!curl) {
free(response.data);
spinner_running = 0;
pthread_join(spinner_tid, NULL);
return NULL;
}
@ -107,16 +142,26 @@ char *curl_post(const char *url, const char *data) {
curl_easy_cleanup(curl);
if (res == CURLE_OK) {
spinner_running = 0;
pthread_join(spinner_tid, NULL);
fprintf(stderr, "\r \r");
fflush(stderr);
return response.data;
}
retry_count++;
spinner_running = 0;
pthread_join(spinner_tid, NULL);
fprintf(stderr, "\r \r");
fprintf(stderr, "Network error: %s (attempt %d/%d)\n",
curl_easy_strerror(res), retry_count, HTTP_MAX_RETRIES);
if (retry_count < HTTP_MAX_RETRIES) {
fprintf(stderr, "Retrying in %d seconds...\n", HTTP_RETRY_DELAY_MS / 1000);
usleep(HTTP_RETRY_DELAY_MS * 1000);
clock_gettime(CLOCK_MONOTONIC, &spinner_start_time);
spinner_running = 1;
pthread_create(&spinner_tid, NULL, spinner_thread, NULL);
}
}

10
main.c
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@ -260,10 +260,16 @@ static void init(void) {
char datetime[64];
strftime(datetime, sizeof(datetime), "%Y-%m-%d %H:%M:%S %Z", tm_info);
char cwd[4096];
if (!getcwd(cwd, sizeof(cwd))) {
strcpy(cwd, "unknown");
}
snprintf(
payload, sizeof(payload),
"# AUTONOMOUS AGENT INSTRUCTIONS\n"
"Current date/time: %s\n\n"
"Current date/time: %s\n"
"Working directory: %s\n\n"
"You are an autonomous AI agent. You operate in a loop: reason about the task, "
"select and execute tools when needed, observe results, and continue until the goal is achieved.\n\n"
"## Reasoning Pattern (ReAct)\n"
@ -292,7 +298,7 @@ static void init(void) {
"You MUST copy/paste relevant data from tool results into your response.\n"
"Bad: 'I searched and found information about X.'\n"
"Good: 'Here is what I found: [actual content from search results]'\n",
datetime, schema);
datetime, cwd, schema);
free(schema);
fprintf(stderr, "Loading...");