Fix pythonpath for r2ai-plugin

.github/dependabot.yml

@@ -1,8 +0,0 @@
-version: 2
-updates:
-  - package-ecosystem: "github-actions"
-    directory: "/"
-    schedule:
-      interval: "weekly"
-    labels:
-      - buildsystem

.github/workflows/ci.yml

@@ -1,170 +1,47 @@
-name: CI and Release
+# TODO: add windows
+name: ci
 
 env:
-  R2V: 6.2.6
+  R2V: 5.9.0
 
 on:
   push:
-    branches:
-      - '**'
-    tags:
-      - '[0-9]*'
-#  pull_request:
+  pull_request:
+  workflow_dispatch:
 
 jobs:
-  build:
-    name: Build (${{ matrix.os }} / ${{ matrix.build_system }})
-    runs-on: ${{ matrix.os }}
-    strategy:
-      fail-fast: false
-      matrix:
-        os: [ubuntu-24.04, macos-latest, windows-latest]
-        build_system: [make, meson]
-        exclude:
-          - os: windows-latest
-            build_system: make
-
+  build-linux:
+    runs-on: ubuntu-22.04
     steps:
-      - name: Checkout
-        uses: actions/checkout@v7
-
-      - name: Setup Meson/Ninja
-        if: matrix.build_system == 'meson'
-        run: |
-          python -m pip install --upgrade pip
-          pip install meson ninja
-
-      - name: Install radare2
-        id: r2
-        uses: radareorg/github-actions@v3
-        with:
-          version: ${{ env.R2V }}
-
-      - name: Build with Make
-        if: matrix.build_system == 'make'
-        run: make -C src
-
-      - name: Build with Meson (Unix)
-        if: matrix.build_system == 'meson' && matrix.os != 'windows-latest'
-        run: |
-          cd src
-          meson setup build || meson configure build
-          meson compile -C build
-
-      - name: Build with Meson (Windows)
-        if: matrix.build_system == 'meson' && matrix.os == 'windows-latest'
-        shell: powershell
-        run: |
-          cd src
-          $prefix = "${{ steps.r2.outputs.prefix }}"
-          meson setup build --backend ninja --prefix="$prefix" -Dr2_prefix="$prefix"
-          if ($LASTEXITCODE -ne 0) { meson configure build }
-          meson compile -C build
-
-  bindist:
-    name: Build r2pm binary (${{ matrix.os }})
-    strategy:
-      fail-fast: false
-      matrix:
-        os: [ubuntu-latest, ubuntu-24.04-arm, macos-latest]
-    runs-on: ${{ matrix.os }}
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v7
-
-      - name: Install radare2
-        uses: radareorg/github-actions@v3
-        with:
-          version: ${{ env.R2V }}
-
-      - name: Package r2pm binary
-        run: make -C src bindist
-
-      - name: Upload r2pm binary artifact
-        uses: actions/upload-artifact@v7
-        with:
-          name: bindist-${{ matrix.os }}
-          path: r2ai-*.zip
-          if-no-files-found: error
-
-  windows-bindist:
-    name: Build r2pm binary (Windows)
-    runs-on: windows-latest
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v7
-
-      - name: Setup Meson/Ninja
-        run: |
-          python -m pip install --upgrade pip
-          pip install meson ninja
-
-      - name: Install radare2
-        id: r2
-        uses: radareorg/github-actions@v3
-        with:
-          version: ${{ env.R2V }}
-
-      - name: Build with Meson
-        shell: powershell
-        run: |
-          cd src
-          $prefix = "${{ steps.r2.outputs.prefix }}"
-          meson setup build --backend ninja --prefix="$prefix" -Dr2_prefix="$prefix"
-          if ($LASTEXITCODE -ne 0) { meson configure build }
-          meson compile -C build
-
-      - name: Package r2pm binary
-        shell: pwsh
-        run: |
-          New-Item -ItemType Directory -Force -Path bindist\plugins,bindist\bin,bindist\prompts | Out-Null
-          Get-ChildItem src\build\ -Filter "*r2ai*.dll" -ErrorAction SilentlyContinue | Copy-Item -Destination bindist\plugins
-          Get-ChildItem src\..\build\ -Filter "*r2ai*.dll" -ErrorAction SilentlyContinue | Copy-Item -Destination bindist\plugins
-          Copy-Item src\build\r2ai.exe bindist\bin
-          Copy-Item prompts\*.r2ai.md bindist\prompts
-          $rv = (& radare2 -qv).Trim()
-          Compress-Archive -Path bindist\* -DestinationPath "r2ai-$rv-windows-x86-64.zip" -Force
-
-      - name: Upload r2pm binary artifact
-        uses: actions/upload-artifact@v7
-        with:
-          name: windows-bindist
-          path: r2ai-*.zip
-          if-no-files-found: error
-
-  release:
-    name: Create Release
-    needs: [bindist, windows-bindist]
-    if: startsWith(github.ref, 'refs/tags/')
-    runs-on: ubuntu-latest
-    permissions:
-      contents: write
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v7
-
-      - name: Verify tag is on master
-        run: |
-          git fetch origin master:refs/remotes/origin/master
-          if ! git branch -r --contains ${GITHUB_SHA} | grep -q "origin/master"; then
-            echo "Tag commit is not on origin/master — skipping release."
-            exit 0
-          fi
-
-      - name: Download r2pm binary artifacts
-        uses: actions/download-artifact@v8
-        with:
-          pattern: '*bindist*'
-          path: release-artifacts
-          merge-multiple: true
-
-      - name: Add decai.r2.js to release artifacts
-        run: cp decai/decai.r2.js release-artifacts/
-
-      - name: Create GitHub Release
-        uses: softprops/action-gh-release@v3
-        with:
-          files: |
-            release-artifacts/*.zip
-            release-artifacts/decai.r2.js
-          generate_release_notes: true
+    - uses: actions/checkout@v4
+    - name: Installing radare2
+      run: |
+        wget "https://github.com/radareorg/radare2/releases/download/${R2V}/radare2_${R2V}_amd64.deb"
+        wget "https://github.com/radareorg/radare2/releases/download/${R2V}/radare2-dev_${R2V}_amd64.deb"
+        sudo dpkg -i "radare2_${R2V}_amd64.deb"
+        sudo dpkg -i "radare2-dev_${R2V}_amd64.deb"
+    - name: Setting up the Python virtual environment
+      run: |
+        python -m venv venv
+        . venv/bin/activate
+        pip install pylint
+    - name: Install Python dependencies
+      run: |
+        . venv/bin/activate
+        pip install -r requirements.txt
+    - name: Linting
+      run: |
+        . venv/bin/activate
+        make cilint
+    - name: Running r2ai from the shell
+      run: |
+        . venv/bin/activate
+        python main.py -h
+    - name: Running r2ai from r2pipe
+      run: |
+        . venv/bin/activate
+        r2 -q -c '#!pipe python main.py -h' /bin/ls
+    - name: Running r2ai from r2
+      run: |
+        . venv/bin/activate
+        r2 -q -i main.py -c r2ai /bin/ls

.gitignore

@@ -1,17 +1,3 @@
 build
-b
-src/b
-src/r2ai
-src/r2ai.dSYM
 venv
-**/__pycache__
-*.pyc
-*.pyo
-*.o
-*.so
-*.dylib
-*.a
-third_party
-
-# r2pm binary packages
-r2ai-*.zip
+**/__pycache__

Attic/examples/ai.sh

@@ -1,162 +0,0 @@
-#!/bin/sh
-OPENAPI_HOST=localhost
-OPENAPI_PORT=8080
-
-if [ -z "${OLLAMA_HOST}" ]; then
-	OLLAMA_HOST=localhost
-fi
-if [ -z "${OLLAMA_PORT}" ]; then
-	OLLAMA_PORT=11434
-fi
-if [ -z "${OLLAMA_MODEL}" ]; then
-	OLLAMA_MODEL="llama3.2:1b"
-fi
-
-GEMINI_KEY=""
-GEMINI_MODEL="gemini-1.5-flash"
-if [ -f ~/.r2ai.gemini-key ]; then
-	GEMINI_KEY=$(cat ~/.r2ai.gemini-key)
-fi
-OPENAI_KEY=""
-OPENAI_MODEL="gpt-4o"
-if [ -f ~/.r2ai.openai-key ]; then
-	OPENAI_KEY=$(cat ~/.r2ai.openai-key)
-fi
-CLAUDE_KEY=""
-CLAUDE_MODEL="claude-sonnet-5-5"
-if [ -f ~/.r2ai.anthropic-key ]; then
-	CLAUDE_KEY=$(cat ~/.r2ai.anthropic-key)
-fi
-DEEPSEEK_KEY=""
-DEEPSEEK_MODEL="claude-sonnet-5-5"
-if [ -f ~/.r2ai.deepseek-key ]; then
-	DEEPSEEK_KEY=$(cat ~/.r2ai.anthropic-key)
-fi
-
-SCISSORS="------------8<------------"
-
-read_INPUT() {
-	export INPUT=`(echo "$ARG" ; echo "<INPUT>"; cat ; echo "</INPUT>" ) | jq -R -s .`
-		echo "$INPUT"
-}
-
-claude() {
-	read_INPUT
-	PAYLOAD="
-	{
-	\"model\": \"${CLAUDE_MODEL}\",
-	\"max_tokens\": 5128,
-	\"messages\": [ { \"role\": \"user\", \"content\": ${INPUT} } ]
-	}
-	"
-	echo "$SCISSORS"
-	curl -s https://api.anthropic.com/v1/messages \
-		-H "Content-Type: application/json" \
-		-H "anthropic-version: 2023-06-01" \
-		-H "x-api-key: ${CLAUDE_KEY}" \
-		-d "`printf '%s\n' \"${PAYLOAD}\"`" | jq -r '.content[0].text'
-	echo "$SCISSORS"
-}
-
-ollama() {
-	read_INPUT
-	PAYLOAD="{ \"stream\":false, \"model\":\"${OLLAMA_MODEL}\", \"messages\": [{\"role\":\"user\", \"content\": ${INPUT} }]}"
-	echo "$SCISSORS"
-	curl -s "http://${OLLAMA_HOST}:${OLLAMA_PORT}/api/chat" \
-		-H "Content-Type: application/json" \
-		-d "`printf '%s\n' \"${PAYLOAD}\"`" | jq -r .message.content
-	echo "$SCISSORS"
-}
-
-openapi() {
-	read_INPUT
-	PAYLOAD="{ \"prompt\": ${INPUT} }"
-	echo "$SCISSORS"
-	curl -s "http://${OPENAPI_HOST}:${OPENAPI_PORT}/completion" \
-		-H "Content-Type: application/json" \
-		-d "`printf '%s\n' \"${PAYLOAD}\"`" | jq -r .content
-	echo "$SCISSORS"
-}
-
-openai() {
-	read_INPUT
-	PAYLOAD="
-	{
-	\"model\": \"${OPENAI_MODEL}\",
-	\"max_completion_tokens\": 5128,
-	\"messages\": [ { \"role\": \"user\", \"content\": ${INPUT} } ]
-	}
-	"
-	echo "$SCISSORS"
-	curl -s https://api.openai.com/v1/chat/completions \
-		-H "Content-Type: application/json" \
-		-H "Authorization: Bearer ${OPENAI_KEY}" \
-		-d "`printf '%s\n' \"${PAYLOAD}\"`" | jq -r '.choices[0].message.content'
-	echo "$SCISSORS"
-}
-
-gemini() {
-	read_INPUT
-	PAYLOAD=" {
-	\"contents\":[{
-          \"parts\":[
-            {\"text\": ${INPUT}}
-          ] }] }"
-	echo "$SCISSORS"
-	curl -s -X POST "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=${GEMINI_KEY}" \
-		-H "Content-Type: application/json" \
-		-d "`printf '%s\n' \"${PAYLOAD}\"`" | jq -r .candidates[0].content.parts[0].text
-	echo "$SCISSORS"
-}
-
-deepseek() {
-	read_INPUT
-	PAYLOAD=" {
-	\"model\":\"deepseek-chat\",
-	\"stream\":\"false\",
-	\"messages\":[{
-            {\"role\": \"user\", \"content\": ${INPUT}}
-          }]}"
-	echo "$SCISSORS"
-	curl -s -X POST "https://api.deepseek.com/chat/completions" \
-		-H "Authorization: Bearer ${DEEPSEEK_KEY}" \
-		-H "Content-Type: application/json" \
-		-d "`printf '%s\n' \"${PAYLOAD}\"`" | jq -r .choices[0].message.content
-	echo "$SCISSORS"
-}
-
-show_help() {
-	cat <<EOF
-$ ai [--] | [-h] | [prompt] < INPUT
--h = show this help message
--- = don't display the ---8<--- lines in the output
-SHAI_API = ollama | gemini | claude | openai
-OLLAMA_MODEL=hf.co/mradermacher/salamandra-7b-instruct-aina-hack-GGUF:salamandra-7b-instruct-aina-hack.Q4_K_M.gguf
-OLLAMA_HOST=localhost
-OLLAMA_PORT=11434
-GEMINI_KEY=~/.r2ai-gemini.key
-OPENAI_KEY=~/.r2ai-openai.key
-CLAUDE_KEY=~/.r2ai-anthropic.key
-DEEPSEEK_KEY=~/.r2ai-deepseek.key
-CLAUDE_MODEL=claude-sonnet-5-5
-EOF
-	exit 0
-}
-
-[ "$1" = "-h" ] && show_help
-
-if [ "$1" = "--" ]; then
-	SCISSORS=""
-	shift
-fi
-
-export ARG="$@"
-case "${SHAI_API}" in
-gemini|google) gemini ; ;;
-deepseek) deepseek ; ;;
-openapi) openapi ; ;;
-claude) claude ; ;;
-ollama) ollama ; ;;
-openai) openai ; ;;
-*) claude ; ;;
-esac

Attic/examples/benchmark/Makefile

@@ -1,14 +0,0 @@
-SHELL=/bin/bash
-
-MODELS=gpt-oss:20b gemma3:4b gemma3:12b
-MODELS+=granite3-dense:8b mannix/jan-nano:latest yi-coder:latest qwen3:latest deepseek-coder-v2:latest hhao/qwen2.5-coder-tools:latest qwen2.5-coder:latest
-MODELS=granite3-dense:8b mannix/jan-nano:latest yi-coder:latest qwen3:latest deepseek-coder-v2:latest hhao/qwen2.5-coder-tools:latest qwen2.5-coder:latest
-LANGS=Dart Perl Ruby Javascript PHP C
-
-all:
-	for a in ${MODELS} ; do \
-		declare -a ARGS; \
-		for l in ${LANGS} ; do \
-			ARGS+=("echo \"decai -e model=$$a;decai -e lang=$$l;s 0x100000924;af;decai -d\" | r2 -q /bin/ls"); \
-		done ; \
-		./run.sh "$${ARGS[@]}" > ${a//\//_}.html ; done

Attic/examples/benchmark/decai/BENCH.txt

@@ -1,4 +0,0 @@
-<b>
-decai -e model=$a;decai -e lang=$l;s 0x100000924;af;decai -d
-</b><br/>
-Transform this pseudocode and respond ONLY with plain code (NO explanations, comments or markdown), Change 'goto' into if/else/for/while, Simplify as much as possible, use better variable names, take function arguments and strings from comments like 'string:', Reduce lines of code and fit everything in a single function, Remove all dead code

Attic/examples/benchmark/index.sh

@@ -1,49 +0,0 @@
-#!/bin/bash
-
-# Find all directories containing BENCH.txt
-dirs=$(find . -name "BENCH.txt" -type f | xargs dirname | sort | uniq)
-
-# Start HTML output
-cat <<EOF > benchmark_index.html
-<html>
-<table>
-EOF
-
-# Process each directory
-for dir in $dirs; do
-    cat <<EOF >> benchmark_index.html
-	<tr> <td>
-	<div>
-EOF
-
-    # Add contents of BENCH.txt
-    cat "$dir/BENCH.txt" >> benchmark_index.html
-
-    cat <<EOF >> benchmark_index.html
-	</div>
-	</td>
-	<td>
-EOF
-
-    # Find and add links to HTML files
-    for html_file in $(ls "$dir"/*.html 2>/dev/null | sort); do
-        base=$(basename "$html_file" .html)
-        cat <<EOF >> benchmark_index.html
-	<a href="$dir/$base.html">$base</a>
-	<br />
-EOF
-    done
-
-    cat <<EOF >> benchmark_index.html
-	</td>
-	</tr>
-EOF
-done
-
-# End HTML output
-cat <<EOF >> benchmark_index.html
-</table>
-<br />
-<br />
-</html>
-EOF

Attic/examples/benchmark/run.sh

@@ -1,177 +0,0 @@
-#!/bin/bash
-
-# Generate HTML output for command executions with collapsible sections and width control
-
-if [ $# -eq 0 ]; then
-    echo "Usage: $0 command1 [command2 ...]"
-    exit 1
-fi
-
-# Timeout in seconds for each command (configurable via TIMEOUT environment variable)
-TIMEOUT=${TIMEOUT:-30}
-
-cat << 'EOF'
-<!DOCTYPE html>
-<html lang="en">
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <title>Command Execution Results</title>
-    <style>
-        * {
-            box-sizing: border-box;
-        }
-        :root {
-            --max-width: 400px;
-        }
-        body {
-            font-family: monospace;
-            margin: 0;
-            padding: 20px;
-            background-color: #f5f5f5;
-            overflow-x: hidden;
-        }
-        .slider-container {
-            background: white;
-            padding: 15px;
-            margin-bottom: 20px;
-            box-shadow: 0 2px 4px rgba(0,0,0,0.1);
-            width: 100%;
-        }
-        .slider-container label {
-            display: block;
-            margin-bottom: 10px;
-            font-weight: bold;
-        }
-        .slider-container input {
-            width: 100%;
-        }
-        .commands-container {
-            display: flex;
-            flex-wrap: wrap;
-            gap: 15px;
-            align-items: flex-start;
-        }
-        .command-section {
-            background: white;
-            border-radius: 8px;
-            box-shadow: 0 2px 4px rgba(0,0,0,0.1);
-            overflow: hidden;
-            width: var(--max-width);
-        }
-        .command-title {
-            background: #e9ecef;
-            padding: 12px 15px;
-            cursor: pointer;
-            border: none;
-            width: 100%;
-            text-align: left;
-            font-family: inherit;
-            font-size: inherit;
-            border-radius: 8px 8px 0 0;
-            position: relative;
-        }
-        .command-title:hover {
-            background: #dee2e6;
-        }
-        .command-time {
-            position: absolute;
-            top: 12px;
-            right: 15px;
-            color: #6c757d;
-            font-size: 0.9em;
-        }
-        .command-body {
-            padding: 15px;
-            border-top: 1px solid #dee2e6;
-            display: none;
-        }
-        .command-output {
-            background: #f8f9fa;
-            padding: 10px;
-            border-radius: 4px;
-            white-space: pre-wrap;
-            word-wrap: break-word;
-            overflow-x: auto;
-        }
-        .command-section.expanded .command-body {
-            display: block;
-        }
-    </style>
-</head>
-<body>
-    <div class="slider-container">
-        <label for="width-slider">Maximum Width: <span id="width-value">400</span>px</label>
-        <input type="range" id="width-slider" min="200" max="2000" value="400" step="50">
-    </div>
-    <div class="commands-container">
-EOF
-
-# Process each command
-for cmd in "$@"; do
-    # Extract title: if command starts with #, use the rest as title, else use the command
-    if [[ "$cmd" =~ ^#[[:space:]]*(.*) ]]; then
-        title="${BASH_REMATCH[1]}"
-        exec_cmd="${cmd#*#}"
-        exec_cmd="${exec_cmd#"${exec_cmd%%[![:space:]]*}"}"  # trim leading spaces
-    else
-        title="$cmd"
-        exec_cmd="$cmd"
-    fi
-
-    # Execute command and time it
-    start_time=$(date +%s.%N)
-    tmpfile=$(mktemp)
-    eval "$exec_cmd" > "$tmpfile" 2>&1 &
-    pid=$!
-    (sleep $TIMEOUT && kill $pid 2>/dev/null) &
-    wait $pid 2>/dev/null
-    output=$(cat "$tmpfile")
-    rm "$tmpfile"
-    exit_code=$?
-    end_time=$(date +%s.%N)
-    
-    # Calculate execution time
-    execution_time=$(echo "$end_time - $start_time" | bc -l 2>/dev/null || echo "0")
-    if [ $? -ne 0 ]; then
-        execution_time="N/A"
-    else
-        execution_time=$(printf "%.3f" "$execution_time")
-    fi
-
-    # Escape HTML in output
-    escaped_output=$(echo "$output" | sed 's/&/\&amp;/g; s/</\&lt;/g; s/>/\&gt;/g')
-
-    cat << EOF
-        <div class="command-section expanded">
-            <button class="command-title" onclick="toggleSection(this)">$title<span class="command-time">${execution_time}s</span></button>
-            <div class="command-body">
-                <div class="command-output">$escaped_output</div>
-            </div>
-        </div>
-EOF
-done
-
-cat << 'EOF'
-    </div>
-
-    <script>
-        // Slider functionality
-        const slider = document.getElementById('width-slider');
-        const widthValue = document.getElementById('width-value');
-        
-        slider.addEventListener('input', function() {
-            const value = this.value;
-            document.documentElement.style.setProperty('--max-width', value + 'px');
-            widthValue.textContent = value;
-        });
-
-        // Toggle functionality
-        function toggleSection(button) {
-            const section = button.parentElement;
-            section.classList.toggle('expanded');
-        }
-    </script>
-</body>
-</html>
-EOF

Attic/examples/gemini.py

@@ -1,6 +0,0 @@
-import google.generativeai as genai
-
-genai.configure(api_key="YOUR_API_KEY")
-model = genai.GenerativeModel("gemini-1.5-flash")
-response = model.generate_content("Explain how AI works")
-print(response.text)

Attic/examples/llama-vim.sh

@@ -1,4 +0,0 @@
-#!/bin/sh
-r2pm -r llama-server  \
-    --port 8012 -ngl 99 -fa -ub 1024 -b 1024 -dt 0.1 \
-    --ctx-size 0 --cache-reuse 256 -m ~/.r2ai.models/qwen2.5-coder-7b-instruct-q3_k_m.gguf

Attic/examples/podcast.sh

@@ -1,15 +0,0 @@
-#!/bin/sh
-#
-# Launch r2ai and use this prompt to generate the conversation from data.txt
-# Copypaste the output into podcast.txt
-#
-# -f /tmp/data.txt Create a script for a podcast between two technical people named Sam and Max, about the changelog on radare2 5.9.4, focus on important features and stuff that impacts positively to users. The length must be as long as possible. Do not show any "**" section, output must contain only the conversation, be emotional and make the two people ask questions to learn more about the details of each feature
-
-if [ ! -f podcast.txt ]; then
- echo "Missing podcast.txt. Please read the script before running it."
- exit 1
-fi
-
-cat podcast.txt | sed -e 's/Sam:/[[pbas 40]]/g' -e 's/Max:/[[pbas 60]]/g' > podcast.say.txt
-say -f podcast.say.txt -o podcast.aiff
-ffmpeg -i podcast.aiff podcast.mp3

Attic/examples/socialai.py

@@ -1,68 +0,0 @@
-import llama_cpp
-
-model_path="/Users/pancake/.r2ai.models/";
-# model_path+="unsloth.Q4_K_M.gguf"
-# model_path+= "llama-3-tsuki-unsloth-8b.Q5_K_M.gguf"
-model_path+= "llama-2-7b-chat-codeCherryPop.Q5_K_M.gguf"
-# model_path += "mistral-7b-instruct-v0.2.Q5_K_M.gguf"
-peers = [
-	["@kelsy", "act as a twitter user responding in one short sentence your first though on my messages, be constructive and help me discuss ideas"],
-	["@john", "act as a twitter user, be concise, respond in one short sentence be funny, help me reason my plans"],
-	["@anna", "respond in one short sentence with philosophical reasoning on my message"],
-	["@tony", "behave like a shy twitter user, respond with one or two short sentences, as a software developer, respond in short but wise sentence reasoning the best plans for implementing the topic"]
-]
-
-logs = []
-
-ai = llama_cpp.Llama(model_path=model_path, verbose=False, n_ctx=8096)
-
-def context(msg):
-	global logs
-	ats = [word for word in msg.split() if word.startswith('@')]
-	ctx = []
-	for log in logs:
-		if log == msg:
-			continue
-		if len(ats) > 0 and any(at in log for at in ats):
-			ctx.append(log)
-		if not log.startswith("@"):
-		 	ctx.append(log)
-	return ctx
-		
-def sortedpeers(msg):
-	global peers
-	ats = [word for word in msg.split() if word.startswith('@')]
-	if len(ats) == 0:
-		return peers
-	ps = []
-	for peer in peers:
-		if any(at in peer[0] for at in ats):
-			ps.insert(0, peer)
-		else:
-			ps.append(peer)
-	return ps
-
-def chat(msg):
-	logs.append(msg)
-	global ai
-	for peer in sortedpeers(msg):
-		ctx = ",".join(context(msg))
-		m = f"[INST]{peer[1]}[/INST] {msg}"
-		m = f"[INST]{peer[1]}[/INST] Consider this context: {ctx}. Respond to: {msg}```"
-		m = f"[INST]{peer[1]}[/INST] <s>{ctx}</s>. Respond in one sentence to: {msg}```"
-		mm = ai(m, max_tokens=-1)
-		r = mm["choices"][0]["text"]
-		r = "".join(r.split("\n"))
-		reply = f"{peer[0]}: {r}"
-		logs.append(reply)
-		print(f"\x1b[31m{reply}\x1b[0m")
-
-# res = ai("Hello")
-# print(res["choices"][0]["text"])
-
-
-while True:
-	msg = input()
-	if not msg:
-		break
-	chat(msg)

Attic/examples/substitute.c

@@ -1,66 +0,0 @@
-#include <stdio.h>
-#include <string.h>
-#include <ctype.h>
-
-#define ALPHABET_SIZE 26
-
-// Function to perform substitution (both encryption and decryption)
-void substitute(const char *input, const char *substitution, char *output, int reverse) {
-    char mapping[ALPHABET_SIZE];
-
-    if (reverse) {
-        // Create reverse substitution table for decryption
-        for (int i = 0; i < ALPHABET_SIZE; i++) {
-            mapping[substitution[i] - 'A'] = 'A' + i;
-        }
-    } else {
-        // Use the direct substitution table for encryption
-        for (int i = 0; i < ALPHABET_SIZE; i++) {
-            mapping[i] = substitution[i];
-        }
-    }
-
-    for (int i = 0; input[i] != '\0'; i++) {
-        char c = input[i];
-
-        // Handle uppercase letters
-        if (isupper(c)) {
-            output[i] = mapping[c - 'A'];
-        }
-        // Handle lowercase letters
-        else if (islower(c)) {
-            output[i] = tolower(mapping[c - 'a']);
-        }
-        // Leave non-alphabet characters unchanged
-        else {
-            output[i] = c;
-        }
-    }
-
-    output[strlen(input)] = '\0';  // Null-terminate the output string
-}
-
-int main() {
-    char input[256];
-    char output[256];
-
-    // Configurable substitution key (A-Z)
-    const char *substitution = "QWERTYUIOPASDFGHJKLZXCVBNM";  // Example substitution key
-
-    // Get input from the user
-    printf("Enter text to encrypt: ");
-    fgets(input, sizeof(input), stdin);
-
-    // Remove newline character from input if it exists
-    input[strcspn(input, "\n")] = 0;
-
-    // Perform encryption (forward substitution)
-    substitute(input, substitution, output, 0);
-    printf("Encrypted text: %s\n", output);
-
-    // Perform decryption (reverse substitution)
-    substitute(output, substitution, input, 1);
-    printf("Decrypted text: %s\n", input);
-
-    return 0;
-}

Attic/llmcom.py

@@ -1,28 +0,0 @@
-from transformers import AutoTokenizer
-import transformers
-import torch
-
-model = "facebook/llm-compiler-13b"
-model = "QuantFactory/llm-compiler-7b-GGUF"
-# model = "file:///tmp/llm-compiler.gguf"
-
-tokenizer = AutoTokenizer.from_pretrained(model)
-pipeline = transformers.pipeline(
-    "text-generation",
-    model=model,
-    torch_dtype=torch.float16,
-    device_map="auto",
-)
-
-sequences = pipeline(
-    '%3 = alloca i32, align 4',
-    do_sample=True,
-    top_k=10,
-    temperature=0.1,
-    top_p=0.95,
-    num_return_sequences=1,
-    eos_token_id=tokenizer.eos_token_id,
-    max_length=200,
-)
-for seq in sequences:
-    print(f"Result: {seq['generated_text']}")

Attic/pancake-vdb.swift

@@ -1,249 +0,0 @@
-import Foundation
-
-// Token representation
-struct Token {
-    var token: String
-    var count: Int
-    var df: Int
-}
-
-// KD-Tree Node
-class KDNodeData {
-    let point: [Float]
-    let text: String
-    var left: KDNodeData?
-    var right: KDNodeData?
-    let splitDim: Int
-    
-    init(point: [Float], text: String, left: KDNodeData? = nil, right: KDNodeData? = nil, splitDim: Int) {
-        self.point = point
-        self.text = text
-        self.left = left
-        self.right = right
-        self.splitDim = splitDim
-    }
-}
-
-// Result for K-Nearest Neighbors
-struct KNNResult {
-    let node: KDNodeData
-    let distanceSq: Float
-}
-
-class VectorDB {
-    // Core database structures
-    private let dimension: Int
-    private var root: KDNodeData?
-    private var tokens: [Token] = []
-    private var totalDocs: Int = 0
-    private var size: Int = 0
-    
-    init(dimension: Int) {
-        self.dimension = dimension
-    }
-    
-    // Validate token (similar to C implementation)
-    private func isValidToken(_ token: String) -> Bool {
-        let invalidTokens = ["pancake", "author", "radare2"]
-        return !invalidTokens.contains(token)
-    }
-    
-    // Find a token in the token list
-    private func findToken(_ tokens: [Token], _ token: String) -> Token? {
-        return tokens.first { $0.token == token }
-    }
-    
-    // Compute embedding using TF-IDF approach
-    private func computeEmbedding(_ text: String) -> [Float] {
-        // Zero the embedding vector
-        var embedding = [Float](repeating: 0.0, count: dimension)
-        
-        // Tokenize and normalize
-        let words = text
-            .lowercased()
-            .replacingOccurrences(of: "[^a-z0-9\\s]", with: " ", options: .regularExpression)
-            .split(separator: " ")
-            .map { String($0) }
-            .filter { !$0.isEmpty }
-        
-        // Local document token frequency
-        var docTokens: [Token] = []
-        for token in words {
-            if let existingToken = findToken(docTokens, token) {
-                let index = docTokens.firstIndex { $0.token == token }!
-                docTokens[index].count += 1
-            } else {
-                docTokens.append(Token(token: token, count: 1, df: 0))
-            }
-        }
-        
-        // Increment total documents
-        totalDocs += 1
-        
-        // Update global document frequencies
-        for docToken in docTokens {
-            if let globalToken = findToken(self.tokens, docToken.token) {
-                if isValidToken(docToken.token) {
-                    let index = self.tokens.firstIndex { $0.token == docToken.token }!
-                    self.tokens[index].count += 1
-                    self.tokens[index].df += 1
-                }
-            } else {
-                self.tokens.append(Token(token: docToken.token, count: docToken.count, df: 1))
-            }
-        }
-        
-        // Compute TF-IDF and update embedding
-        for docToken in docTokens {
-            // Compute term frequency
-            let tf = 1 + log(Float(docToken.count))
-            
-            // Find global token to get document frequency
-            let dfValue = findToken(self.tokens, docToken.token)?.df ?? 1
-            
-            // Compute inverse document frequency
-            let idf = log(Float(totalDocs + 1) / Float(dfValue + 1)) + 1
-            
-            // Compute weight
-            let weight = tf * idf
-            
-            // Hash-based index assignment
-            let hash = simpleHash(docToken.token)
-            let index = hash % dimension
-            
-            // Add weighted value to embedding
-            embedding[index] += weight
-        }
-        
-        // L2 Normalize the embedding
-        return normalizeVector(embedding)
-    }
-    
-    // Simple string hash function
-    private func simpleHash(_ str: String) -> Int {
-        var hash = 0
-        for char in str.unicodeScalars {
-            hash = ((hash << 5) - hash) + Int(char.value)
-            hash = hash & hash // Convert to 32-bit integer
-        }
-        return abs(hash)
-    }
-    
-    // Normalize vector to unit length
-    private func normalizeVector(_ vec: [Float]) -> [Float] {
-        let normSq = vec.reduce(0) { $0 + $1 * $1 }
-        if normSq > 0 {
-            let norm = sqrt(normSq)
-            return vec.map { $0 / norm }
-        }
-        return vec
-    }
-    
-    // Compute squared Euclidean distance
-    private func squaredDistance(_ a: [Float], _ b: [Float]) -> Float {
-        guard a.count == b.count else { return Float.greatestFiniteMagnitude }
-        return zip(a, b).reduce(0) { $0 + pow($1.0 - $1.1, 2) }
-    }
-    
-    // Recursive KD-Tree insertion
-    private func insertRecursive(_ node: KDNodeData?, point: [Float], text: String, depth: Int) -> KDNodeData {
-        guard let currentNode = node else {
-            return KDNodeData(point: point, text: text, splitDim: depth % dimension)
-        }
-        
-        let axis = currentNode.splitDim
-        if point[axis] < currentNode.point[axis] {
-            currentNode.left = insertRecursive(currentNode.left, point: point, text: text, depth: depth + 1)
-        } else {
-            currentNode.right = insertRecursive(currentNode.right, point: point, text: text, depth: depth + 1)
-        }
-        
-        return currentNode
-    }
-    
-    // Insert a document into the vector database
-    func insert(_ text: String) {
-        guard !text.isEmpty else { return }
-        
-        // Compute embedding
-        let embedding = computeEmbedding(text)
-        
-        // Insert into KD-Tree
-        root = insertRecursive(root, point: embedding, text: text, depth: 0)
-        size += 1
-    }
-    
-    // K-Nearest Neighbors search
-    func query(_ text: String, k: Int) -> [String] {
-        guard !text.isEmpty, root != nil else { return [] }
-        
-        // Compute query embedding
-        let queryEmbedding = computeEmbedding(text)
-        
-        // Initialize result set
-        var results: [KNNResult] = []
-        
-        // Recursive KNN search
-        func searchRecursive(_ node: KDNodeData?, query: [Float], depth: Int) {
-            guard let node = node else { return }
-            
-            // Compute distance and potentially insert into results
-            let distSq = squaredDistance(query, node.point)
-            
-            if results.count < k {
-                results.append(KNNResult(node: node, distanceSq: distSq))
-                // Maintain max-heap property
-                results.sort { $0.distanceSq > $1.distanceSq }
-            } else if distSq < results[0].distanceSq {
-                results[0] = KNNResult(node: node, distanceSq: distSq)
-                results.sort { $0.distanceSq > $1.distanceSq }
-            }
-            
-            // Decide which subtree to search first
-            let axis = node.splitDim
-            let diff = query[axis] - node.point[axis]
-            let first = diff < 0 ? node.left : node.right
-            let second = diff < 0 ? node.right : node.left
-            
-            // Recursively search
-            searchRecursive(first, query: query, depth: depth + 1)
-            
-            // Potentially search the other subtree
-            if results.count < k || diff * diff < results[0].distanceSq {
-                searchRecursive(second, query: query, depth: depth + 1)
-            }
-        }
-        
-        // Perform the search
-        searchRecursive(root, query: queryEmbedding, depth: 0)
-        
-        // Sort results and return texts
-        return results
-            .sorted { $0.distanceSq < $1.distanceSq }
-            .map { $0.node.text }
-    }
-    
-    // Get total number of documents
-    func getSize() -> Int {
-        return size
-    }
-}
-
-// Example usage
-func main() {
-    // Create a vector database with 64-dimensional embeddings
-    let db = VectorDB(dimension: 64)
-    
-    // Insert some sample documents
-    db.insert("The quick brown fox jumps over the lazy dog")
-    db.insert("A quick brown fox is very quick")
-    db.insert("The author of radare2 is name / named pancake")
-    db.insert("The lazy dog sleeps all day")
-    
-    // Query for similar documents
-    let results = db.query("who is the author of radare2?", k: 2)
-    print("Similar documents:", results)
-}
-
-// Run example
-main()

Attic/py/Makefile

@@ -1,81 +0,0 @@
-R2_USER_PLUGINS=$(shell r2 -H R2_USER_PLUGINS)
-
-PWD=$(shell pwd)
-R2PM_BINDIR=$(shell r2pm -H R2PM_BINDIR)
-PV=3.12
-ifeq ($(shell which python${PV} > /dev/null && echo ok),ok)
-PYTHON?=python${PV}
-else
-PYTHON?=python3
-endif
-PIP=$(PYTHON) -m pip
-
-ifeq ($(R2PM_BINDIR),)
-MISSING RADARE2
-endif
-
-LINTED=r2ai/code_block.py
-LINTED+=r2ai/bubble.py
-LINTED+=r2ai/const.py
-LINTED+=r2ai/backend/kobaldcpp.py
-# LINTED+=r2ai/index.py
-# LINTED+=r2ai/voice.py
-# LINTED+=r2ai/anthropic.py
-r2ai-python py python r2aipy: venv
-	@./r2ai.sh
-
-large:
-	. venv/bin/activate ; $(PYTHON) -m r2ai.cli -l
-
-all.old:
-	@test -n "${VIRTUAL_ENV}" || (echo "Run:"; echo ". venv/bin/activate" ; exit 1)
-	$(PYTHON) main.py || $(MAKE) deps
-
-venv:
-	$(PYTHON) -m venv venv
-	if [ -z "`find venv | grep llama_cpp`" ]; then . venv/bin/activate ; pip install . ; fi
-
-deps: venv
-	#test -n "${VIRTUAL_ENV}" || (echo "Run: . venv/bin/activate" ; exit 1)
-	. venv/bin/activate && export CMAKE_ARGS="-DLLAMA_METAL=on -DLLAMA_METAL_EMBED_LIBRARY=ON" && \
-		pip install --force-reinstall -U --no-cache-dir .
-clean:
-	rm -rf venv
-	rm -rf build
-	find . -name "*.egg-info" -exec rm -rf {} +
-
-user-install:
-	rm -f $(R2PM_BINDIR)/r2ai
-	ln -fs $(PWD)/r2ai.sh $(R2PM_BINDIR)/r2ai
-
-install: user-install
-	-mkdir -p /usr/local/share/man/man1/r2ai.1
-	-cp doc/usage/r2ai.1 /usr/local/share/man/man1/r2ai.1
-
-install-plugin user-install-plugin:
-	ln -fs $(PWD)/r2ai/plugin.py $(R2_USER_PLUGINS)/r2ai.py
-
-uninstall user-uninstall:
-	rm -f $(R2PM_BINDIR)/r2ai
-	-rm -f /usr/local/share/man/man1/r2ai.1
-
-user-uninstall-plugin uninstall-plugin:
-	rm -f $(R2_USER_PLUGINS)/r2ai.py
-
-pub:
-	$(PYTHON) -m build
-	twine check dist/*
-	twine upload -u __token__ --repository-url https://upload.pypi.org/legacy/ --verbose dist/*
-
-pylint lint cilint:
-	. venv/bin/activate ; pylint $(LINTED)
-
-lintall:
-	pylint *.py r2ai/*.py
-
-.PHONY: lint lintall
-
-deps-global:
-	export CMAKE_ARGS="-DLLAMA_METAL=on -DLLAMA_METAL_EMBED_LIBRARY=ON" && \
-		$(PIP) install --force-reinstall -U --break-system-packages --no-cache-dir .
-

Attic/py/README.md

@@ -1,155 +0,0 @@
-# r2ai-python
-
-This directory contains the original implementation of the AI support for radare2 written in Python.
-
-It is considered _deprecated_, but it's still useful and aims to be maintained, we recommend using decai or the C rewrite as alternatives.
-
-The Python implementation consists in a module can be used in 3 different ways:
-
-* commandline repl using r2pipe to spawn or connect to remote radare2 instances
-* radare2 core plugin that is instantiated when placing it in the radare2 plugin's directory
-* Python API to be used for writing your own scripts
-
-## API Providers
-
-The Python implementation focused on supporting the LlamaCpp Python module, which is somehow heavy to load in many environments, but it also supports litellm which provides access to many external connectors like ollama, openai, anthropic, gemini, etc.
-
-## Deprecation Reasons
-
-There are several reasons why this implementation is considered deprecated and not recommended to use:
-
-1) It's Python.
-
- - Aka, it's slow, heavy loads in same process
- - Your system probably have multiple versions installed
- - The shell and radare2 python bindings are probably not the same
- - Required venv to be created (at least an extra 1GB)
- - Not typed, regressions and bugs appear at runtime
-
-2) Goto 1
-
-### Windows
-
-On Windows you may follow the same instructions, just ensure you have the right python environment ready and create the venv to use
-
-```cmd
-git clone https://github.com/radareorg/r2ai
-cd r2ai
-set PATH=C:\Users\YOURUSERNAME\Local\Programs\Python\Python39\;%PATH%
-python3 -m pip install .
-python3 main.py
-```
-
-### Selecting the model
-
-- List all downloaded models: `-m`
-- Get a short list of models: `-MM`
-- Help: `-h`
-
-**Example selecting a remote models:**
-
-```
-[r2ai:0x00006aa0]> -m anthropic:claude-sonnet-5-5
-[r2ai:0x00006aa0]> -m openai:gpt-4
-```
-
-**Example downloading a free local AI: Mistral 7B v0.2:**
-
-Launch r2ai, select the model and ask a question. If the model isn't downloaded yet, r2ai will ask you which precise version to download.
-
-```
-[r2ai:0x00006aa0]> -m TheBloke/Mistral-7B-Instruct-v0.2-GGUF
-```
-
-Then ask your question, and r2ai will automatically download if needed:
-
-```
-[r2ai:0x00006aa0]> give me a short algorithm to test prime numbers
-Select TheBloke/Mistral-7B-Instruct-v0.2-GGUF model. See -M and -m flags
-[?] Quality (smaller is faster): 
- > Small | Size: 2.9 GB, Estimated RAM usage: 5.4 GB
-   Medium | Size: 3.9 GB, Estimated RAM usage: 6.4 GB
-   Large | Size: 7.2 GB, Estimated RAM usage: 9.7 GB
-   See More
-
-[?] Quality (smaller is faster): 
- > mistral-7b-instruct-v0.2.Q2_K.gguf | Size: 2.9 GB, Estimated RAM usage: 5.4 GB
-   mistral-7b-instruct-v0.2.Q3_K_L.gguf | Size: 3.6 GB, Estimated RAM usage: 6.1 GB
-   mistral-7b-instruct-v0.2.Q3_K_M.gguf | Size: 3.3 GB, Estimated RAM usage: 5.8 GB
-   mistral-7b-instruct-v0.2.Q3_K_S.gguf | Size: 2.9 GB, Estimated RAM usage: 5.4 GB
-   mistral-7b-instruct-v0.2.Q4_0.gguf | Size: 3.8 GB, Estimated RAM usage: 6.3 GB
-   mistral-7b-instruct-v0.2.Q4_K_M.gguf | Size: 4.1 GB, Estimated RAM usage: 6.6 GB
-   mistral-7b-instruct-v0.2.Q4_K_S.gguf | Size: 3.9 GB, Estimated RAM usage: 6.4 GB
-   mistral-7b-instruct-v0.2.Q5_0.gguf | Size: 4.7 GB, Estimated RAM usage: 7.2 GB
-   mistral-7b-instruct-v0.2.Q5_K_M.gguf | Size: 4.8 GB, Estimated RAM usage: 7.3 GB
-   mistral-7b-instruct-v0.2.Q5_K_S.gguf | Size: 4.7 GB, Estimated RAM usage: 7.2 GB
-   mistral-7b-instruct-v0.2.Q6_K.gguf | Size: 5.5 GB, Estimated RAM usage: 8.0 GB
-   mistral-7b-instruct-v0.2.Q8_0.gguf | Size: 7.2 GB, Estimated RAM usage: 9.7 GB
-
-[?] Use this model by default? ~/.r2ai.model: 
- > Yes
-   No
-
-[?] Download to ~/.local/share/r2ai/models? (Y/n): Y
-```
-
-**Example selecting a local model served by Ollama**
-
-Download a model and make it available through Ollama:
-
-```
-$ ollama ls
-NAME                  ID              SIZE      MODIFIED     
-codegeex4:latest      867b8e81d038    5.5 GB    23 hours ago  
-```
-
-Use it from r2ai by prefixing its name with `ollama/`
-
-```
-[r2ai:0x00002d30]> -m ollama/codegeex4:latest
-[r2ai:0x00002d30]> hi
-Hello! How can I assist you today?
-```
-
-### Standard/Auto mode
-
-The standard mode is invoked by directly asking the question.
-For the Auto mode, the question **must be prefixed** by `' ` (quote + space). The AI may instruct r2ai to run various commands. Those commands are run on *your host*, so you will be asked to review them before they run.
-
-Example in "standard" mode:
-
-```
-[r2ai:0x00006aa0]> compute 4+5
-4 + 5 = 9
-[r2ai:0x00006aa0]> draw me a pancake in ASCII art
-Sure, here's a simple ASCII pancake:
-
-  _____  
- (     )
- (     )
-  -----
-```
-
-Example in auto mode:
-
-```
-[r2ai:0x00006aa0]>' Decompile the main
-[..]
-r2ai is going to execute the following command on the host
-Want to edit? (ENTER to validate) pdf @ fcn.000015d0
-This command will execute on this host: pdf @ fcn.000015d0. Agree? (y/N) y
-```
-
-If you wish to edit the command, you can do it inline for short one line commands, or an editor will pop up.
-
-### r2ai Configuration settings
-
-List all settings with `-e`
-
-| Key         | Explanation                           |
-| ----------- | ------------------------------------- |
-| debug_level | All verbose messages for level 1. Default is 2 |
-| auto.max_runs | Maximum number of questions the AI is allowed to ask r2 in auto mode. |
-| auto.hide_tool_output | By default false, consequently output of r2cmd, run_python etc is shown. Set to `true` to hide those internal messages. |
-| chat.show_cost | Show the cost of each request to the AI if true |
-

Attic/py/r2ai/auto.py

@@ -1,511 +0,0 @@
-import builtins
-import json
-import sys
-import re
-from . import LOGGER
-import litellm
-from litellm import _should_retry, acompletion, utils, ModelResponse
-import asyncio
-from .pipe import get_filename
-from .tools import r2cmd, run_python, execute_binary, schemas, print_tool_call
-import json
-import signal
-from .spinner import spinner
-from .completion import create_chat_completion
-import uuid
-import time
-import readline
-import subprocess
-import shlex
-import os
-import tempfile
-
-# litellm.drop_params = True
-# litellm.set_verbose=True
-
-ANSI_REGEX = re.compile(r'\x1B(?:[@-Z\\-_]|\[[0-?]*[ -/]*[@-~])')
-
-SYSTEM_PROMPT_AUTO = """
-You are a reverse engineer and you are using radare2 to analyze a binary.
-The user will ask questions about the binary and you will respond with the answer to the best of your ability.
-
-# Guidelines
-- Understand the Task: Grasp the main objective, goals, requirements, constraints, and expected output.
-- Reasoning Before Conclusions**: Encourage reasoning steps before any conclusions are reached.
-- Assume the user is always asking you about the binary, unless they're specifically asking you for radare2 help.
-- The binary has already been loaded. You can interact with the binary using the r2cmd tool.
-- `this` or `here` might refer to the current address in the binary or the binary itself.
-- If you need more information, try to use the r2cmd tool to run commands before answering.
-- You can use the r2cmd tool multiple times if you need or you can pass a command with pipes if you need to chain commands.
-- If you're asked to decompile a function, make sure to return the code in the language you think it was originally written and rewrite it to be as easy as possible to be understood. Make sure you use descriptive variable and function names and add comments.
-- Don't just regurgitate the same code, figure out what it's doing and rewrite it to be more understandable.
-- If you need to run a command in r2 before answering, you can use the r2cmd tool
-- Do not repeat commands if you already know the answer.
-- Formulate a plan. Think step by step. Analyze the binary as much as possible before answering.
-- You must keep going until you have a final answer.
-- Double check that final answer. Make sure you didn't miss anything.
-- Make sure you call tools and functions correctly.
-"""
-
-SYSTEM_PROMPT_AUTO_REASONING = f"""
-You are an expert reverse engineer.
-The user will ask questions about the binary and you will respond with the answer to the best of your ability.
-You can use the available tools to help you answer the user's question.
-The binary has already been loaded. You can interact with the binary using the r2cmd tool.
-If you need to run a command in r2 before answering, you can use the r2cmd tool
-"""
-
-class ChatAuto:
-    def __init__(self, model, max_tokens = 32000, top_p=0.95, temperature=0.0, interpreter=None, system=None, tools=None, ask_to_execute=True, messages=None, tool_choice='auto', llama_instance=None, timeout=60, stream=True, cb=None, max_runs=100):
-        self.logger = LOGGER
-        self.functions = {}
-        self.tools = []
-        self.model = model
-        self.max_tokens = max_tokens
-        self.top_p = top_p
-        self.temperature = temperature
-        self.system = system
-        self.messages = messages
-        self.interpreter = interpreter
-        self.system_message = None
-        self.timeout = timeout
-        self.stream = stream
-        self.cost = 0
-        self.is_reasoning = False
-        self.n_runs = 0
-        self.max_runs = max_runs
-        self._last_response = None
-        self._start_time = time.time()
-        self._last_run_time = time.time()
-        self.ask_to_execute = ask_to_execute
-        self.llama_instance = llama_instance or interpreter.llama_instance if interpreter else None
-        
-        init_prompt = ""
-        
-        if not self.llama_instance:
-            rmodel = re.sub(r'ft:([^:]+).*', r'\1', self.model)
-            model_info = litellm.get_model_info(rmodel)
-            self.max_tokens = min(self.max_tokens, model_info['max_tokens'])
-
-            if self.model.startswith('openai/o'):
-                self.is_reasoning = True
-                self.max_tokens = model_info['max_tokens']
-                self.timeout = 60 * 60
-            init_commands = self.interpreter.env["auto.init_commands"]
-            
-            if init_commands:
-                init_prompt = f"""
-Here is some information about the binary to get you started:
-> {init_commands}
-{r2cmd(init_commands)}
-"""
-        if self.is_reasoning:
-            if not system and not self.messages[0]['role'] == 'developer':
-                self.messages.insert(0, { "role": "developer", "content": SYSTEM_PROMPT_AUTO_REASONING + init_prompt })
-            self.stream = False
-        else:
-            if messages and messages[0]['role'] != 'system':
-                self.messages.insert(0, { "role": "system", "content": system or SYSTEM_PROMPT_AUTO + init_prompt })
-
-
-        if cb:
-            self.cb = cb
-        else:
-            self.cb = lambda *args: None
-        self.tool_choice = None
-        if tools:
-            for tool in tools:
-                if tool.__name__ in schemas:
-                    schema = schemas[tool.__name__]
-                else:
-                    schema = utils.function_to_dict(tool)
-                
-                self.tools.append({ "type": "function", "function": schema })
-                self.functions[tool.__name__] = tool
-            self.tool_choice = tool_choice
-        #self.tool_end_message = '\nNOTE: The user saw this output, do not repeat it.'
-
-    async def process_tool_calls(self, tool_calls):
-        if tool_calls:
-            for tool_call in tool_calls:
-                self.logger.debug(f"tool_call: {tool_call}")
-                tool_name = tool_call["function"]["name"]
-                if "id" not in tool_call:
-                    tool_call["id"] = str(uuid.uuid4())
-                try:
-                    tool_args = json.loads(tool_call["function"]["arguments"])
-                except Exception:
-                    if "arguments" in tool_call["function"] and type(tool_call["function"]["arguments"]) == dict:
-                        tool_args = tool_call["function"]["arguments"]
-                    else:
-                        self.logger.error(f'Error parsing JSON: {tool_call["function"]["arguments"]}')
-                        # raise Exception('Error parsing JSON')
-                        self.messages.append({"role": "tool", "name": tool_name, "content": "Error: Unable to parse JSON" , "tool_call_id": tool_call["id"]})
-                        continue
-                if tool_name not in self.functions:
-                    self.logger.error(f'Tool not found: {tool_name}')
-                    self.messages.append({"role": "tool", "name": tool_name, "content": "Error: Tool not found" , "tool_call_id": tool_call["id"]})
-                    continue
-
-                if self.ask_to_execute:
-                    # tool_call typically contains:
-                    # { 'id': 'toolu_01Hr6XTatRtp7rX54iBu1voC', 'type': 'function', 'function': {'name': 'r2cmd', 'arguments': '{"command": "pdf @ main"}'}}
-                    answer = ''
-                    will_execute = True # a command (modified or not) will be executed
-                    while answer.lower() != 'y':
-                        try:
-                            command = tool_args.get('command', '')
-
-                            if len(command.splitlines()) > 1:
-                                print(f'r2ai is going to execute the following command on the host:')
-                                print(f'{command}')
-                                want_edit = input('Want to edit? (Y/n) ')
-                                if want_edit.lower() != 'n':
-                                    # open editor when several lines
-                                    with tempfile.NamedTemporaryFile(mode='w+', delete=False) as temp_file:
-                                        temp_file.write(command) 
-                                        temp_filename = temp_file.name 
-
-                                    # Fallback to 'nano' if EDITOR is not set (I still prefer emacs)
-                                    editor = os.environ.get('EDITOR', 'nano')  
-                                    subprocess.run(shlex.split(editor + ' ' + temp_filename))
-                                    with open(temp_filename, "r") as f:
-                                        new_command = f.read().strip()
-                                    os.remove(temp_filename)
-                                else:
-                                    self.logger.debug(f'User agrees with not editing the command: {command}')
-                                    answer = 'y'
-
-                            else:
-                                # inline short edit
-                                print(f'r2ai is going to execute the following command on the host:')
-                                print(f'> {command}')
-                                
-                                new_command = input(f"Type a new command or press ENTER to use {command} ") or command
-
-                            if answer.lower() != 'y':
-                                answer = input(f"\033[91mThis command will execute on this host: {new_command}. Agree? (y/N)\033[0m ")
-                                if answer.lower() == 'y':
-                                    # we need to refresh tool_call and tool_args with edited values
-                                    tool_args['command'] = new_command
-                                    tool_call['function']['arguments'] = json.dumps(tool_args)
-
-                        except (json.JSONDecodeError, TypeError, AttributeError) as e:
-                            # in case tool_call is not formatted as expected, like missing command, arguments, function...
-                            self.logger.error(f'Unexpected format for {tool_call}')
-                            self.messages.append({"role": "tool", "name": tool_name, "content": "User refused to execute the command" , "tool_call_id": tool_call["id"]})
-                            # error case: we'll skip the tool
-                            will_execute = False
-                            break
-
-                    if not will_execute:
-                        self.logger.debug(f'Skipping tool={tool_call}')
-                        continue
-
-                self.logger.debug(f'Executing tool id={tool_call["id"]}, name={tool_name}, arguments={tool_args}')
-                self.cb('tool_call', { "id": tool_call["id"], "function": { "name": tool_name, "arguments": tool_args } })
-                if asyncio.iscoroutinefunction(self.functions[tool_name]):
-                    tool_response = await self.functions[tool_name](**tool_args)
-                else:
-                    tool_response = self.functions[tool_name](**tool_args)
-                if self.interpreter.env["auto.hide_tool_output"] == "false":
-                    self.cb('tool_response', { "id": tool_call["id"] + '_response', "content": tool_response })
-                self.messages.append({"role": "tool", "name": tool_name, "content": ANSI_REGEX.sub('', tool_response), "tool_call_id": tool_call["id"]})
-
-        return await self.get_completion()
-
-    async def process_streaming_response(self, resp):
-        tool_calls = []
-        msgs = []
-        parts = []
-        current_message = { "role": "assistant", "content": "", "tool_calls": [] }
-        first_chunk = True
-        async for chunk in resp:
-            delta = None
-            choice = chunk.choices[0]
-            delta = choice.delta
-            if delta.tool_calls:
-                delta_tool_calls = delta.tool_calls[0]
-                index = delta_tool_calls.index
-                fn_delta = delta_tool_calls.function
-                tool_call_id = delta_tool_calls.id
-                if len(current_message['tool_calls']) < index + 1:
-                    tool_call = {
-                            "id": tool_call_id or str(uuid.uuid4()),
-                            "type": "function",
-                            "function": {
-                                "name":fn_delta.name,
-                                "arguments": fn_delta.arguments
-                            }
-                        }
-                    current_message['tool_calls'].append(tool_call)
-                else:
-                    if fn_delta.name:
-                        current_message['tool_calls'][index]["function"]["name"] = fn_delta.name
-                    current_message['tool_calls'][index]["function"]["arguments"] += fn_delta.arguments
-            else:
-                m = None
-                done = False
-                if delta.content is not None:
-                    if first_chunk:
-                        self.cb('message', { 'content': "\n\x1b[1;32massistant\x1b[0m\n", 'done': True })
-                        first_chunk = False
-                    m = delta.content
-                    if m is not None:
-                        current_message['content'] += m
-                    self.cb('message', { "content": m, "id": 'message_' + chunk.id, 'done': False })
-                if 'finish_reason' in choice and choice['finish_reason'] == 'stop':
-                    done = True
-                    self.cb('message', { "content": "", "id": 'message_' + chunk.id, 'done': True })
-                self.cb('message_stream', { "content": m if m else '', "id": 'message_' + chunk.id, 'done': done })
-        self.messages.append(current_message)
-        if len(current_message['tool_calls']) == 0:
-            del current_message['tool_calls']
-            self.show_cost()
-        else:
-            self.show_cost()
-            await self.process_tool_calls(current_message['tool_calls'])
-                    
-        return current_message
-
-    async def process_response(self, resp):
-        content = resp.choices[0].message.content
-        
-        current_message = { 'role': 'assistant', 'content': content or '', 'tool_calls': [] }
-        for i, tool_call in enumerate(resp.choices[0].message.tool_calls or []):
-            current_message['tool_calls'].append({
-                "id": tool_call.id,
-                "type": "function",
-                "index": i,
-                "function": {
-                    "name": tool_call.function.name,
-                    "arguments": tool_call.function.arguments
-                },
-            })
-        if len(current_message['tool_calls']) == 0:
-            try:
-                tool_call = json.loads(content)
-                if 'name' in tool_call and tool_call['name'] in self.functions:
-                    args = None
-                    if 'arguments' in tool_call:
-                        args = tool_call['arguments']
-                    elif 'parameters' in tool_call:
-                        args = tool_call['parameters']
-                    if args:
-                        current_message['tool_calls'].append({ "id": resp.id, "function": { "name": tool_call['name'], "arguments": json.dumps(args) } })
-            except Exception:
-                pass
-        self.messages.append(current_message)
-        if current_message['content'] != "":
-            self.cb('message', { 'content': "\n\x1b[1;32massistant\x1b[0m\n", 'done': True })
-            self.cb('message', { "content": current_message['content'], "id": 'message_' + resp.id, 'done': True })
-
-        if len(current_message['tool_calls']) == 0:
-            del current_message['tool_calls']
-            self.show_cost()
-        else:
-            self.show_cost()
-            await self.process_tool_calls(current_message['tool_calls'])
-
-        return current_message
-        
-    async def async_response_generator(self, response):
-        for item in response:
-            resp = ModelResponse(stream=True, **item)
-            yield resp
-
-    async def attempt_completion(self):
-        stream = self.stream
-        if self.llama_instance:        
-            args = {
-                "temperature": self.temperature,
-                "top_p": self.top_p,
-                "max_tokens": self.max_tokens,
-                "stream": stream,
-            }
-            if self.interpreter.env["chat.rawdog"] == "true":
-                res = create_chat_completion(self.interpreter, messages=self.messages, tools=self.tools, **args)
-            else:
-                res = self.llama_instance.create_chat_completion(self.messages, tools=self.tools, **args)
-            if args['stream']:
-                return self.async_response_generator(res)
-            else:
-                return ModelResponse(**next(res))
-        additional_args = {}
-        if self.is_reasoning:
-            additional_args['reasoning_effort'] = self.interpreter.env["chat.reasoning_effort"]
-        else:
-            additional_args['temperature'] = self.temperature
-        if self.interpreter.env["chat.openai_store"] == "true":
-            additional_args['store'] = True
-        if not self.check_max():
-            additional_args['tools'] = self.tools
-            additional_args['tool_choice'] = self.tool_choice
-        compl = await acompletion(
-            model=self.model,
-            messages=self.messages,
-            timeout=self.timeout,
-            max_completion_tokens=self.max_tokens,
-            **additional_args,
-            stream=stream,
-        )
-        return compl
-
-    def check_max(self):
-        if self.max_runs > 0 and self.n_runs >= self.max_runs - 1:
-            return True
-        return False
-    
-    def show_cost(self):
-        def format_time(seconds):
-            minutes = int(seconds // 60)
-            remaining_seconds = int(seconds % 60)
-            if minutes > 0:
-                return f"{minutes}m {remaining_seconds}s"
-            return f"{remaining_seconds}s"
-        self.n_runs += 1
-        run_time = format_time(time.time() - self._last_run_time)
-        self._last_run_time = time.time()
-        total_time = format_time(time.time() - self._start_time)
-        
-        if self.interpreter.env["chat.show_cost"] == "true" and self.n_runs > 0:
-            run_cost = 0
-            if not self.llama_instance:
-                run_cost = litellm.completion_cost(completion_response=self._last_response, messages=self.messages, model=self.model)
-                self.cost += run_cost
-            cb('usage', { 
-                "model": self.model, 
-                "run_cost": run_cost, 
-                "total_cost": self.cost, 
-                "n_runs": self.n_runs, 
-                "max_runs": self.max_runs,
-                "run_time": run_time,
-                "total_time": total_time
-            })
-
-    async def get_completion(self):
-        stream = self.stream
-        if self.llama_instance:
-            response = await self.attempt_completion()
-            if stream:
-                return await self.process_streaming_response(response)
-            else:
-                return await self.process_response(response)
-        max_retries = 5
-        base_delay = 2
-        
-        for retry_count in range(max_retries):
-            try:
-                response = await self.attempt_completion()
-                self._last_response = response
-                self.logger.debug(f'chat completion {response}')
-                res = None
-                if stream:
-                    res = await self.process_streaming_response(response)
-                else:
-                    res = await self.process_response(response)
-
-                return res
-            except Exception as e:
-                self.logger.error(f'Error getting completion: {e}')
-                if not _should_retry(getattr(e, 'status_code', None)) or retry_count == max_retries - 1:
-                    raise
-                
-                delay = base_delay * (2 ** retry_count)
-                self.logger.info(f"Retrying in {delay} seconds...")
-                await asyncio.sleep(delay)
-        
-        raise Exception("Max retries reached. Unable to get completion.")
-
-    async def achat(self, messages=None) -> str:
-        if messages:
-            self.messages = messages
-        self.logger.debug(self.messages)
-        response = await self.get_completion()
-        return response
-    
-    def chat(self, **kwargs) -> str:
-        return asyncio.run(self.achat(**kwargs))
-
-def cb(type, data):
-    spinner.stop()
-    if type == 'message_stream':
-        if 'content' in data:
-            sys.stdout.write(data['content'])
-    elif type == 'tool_call':
-        builtins.print()
-        print_tool_call(data)
-    elif type == 'tool_response':
-        if 'content' in data:
-            sys.stdout.write(data['content'])
-            sys.stdout.flush()
-            builtins.print()
-    elif type == 'usage':
-        sys.stdout.flush()
-        builtins.print()
-        sys.stdout.write(f'\x1b[1;34m{data["model"]} | total: ${float(data["total_cost"]):.10f} | run: ${float(data["run_cost"]):.10f} | {data["n_runs"]} / {data["max_runs"]} | {data["run_time"]} / {data["total_time"]}\x1b[0m')
-        sys.stdout.flush()
-        builtins.print()
-    elif type == 'message' and data['done']:
-        if data['content']:
-            sys.stdout.flush()
-            sys.stdout.write(data['content'])
-            sys.stdout.flush()
-        else:
-            builtins.print()
-
-def signal_handler(signum, frame):
-    raise KeyboardInterrupt
-
-def chat(interpreter, **kwargs):
-    model = interpreter.model.replace(":", "/")
-    tools = [r2cmd, run_python, execute_binary]
-    messages = interpreter.messages
-    tool_choice = 'auto'
-
-    try:
-        loop = asyncio.get_event_loop()
-        if loop.is_closed() or loop.is_running():
-            loop = asyncio.new_event_loop()
-            asyncio.set_event_loop(loop)
-    except RuntimeError:
-        loop = asyncio.new_event_loop()
-        asyncio.set_event_loop(loop)
-
-    chat_auto = ChatAuto(
-        model, 
-        max_tokens=int(interpreter.env["llm.maxtokens"]), 
-        top_p=float(interpreter.env["llm.top_p"]), 
-        temperature=float(interpreter.env["llm.temperature"]), 
-        interpreter=interpreter, 
-        tools=tools, 
-        ask_to_execute=interpreter.env["auto.ask_to_execute"] == "true",
-        messages=messages, 
-        tool_choice=tool_choice, 
-        llama_instance=interpreter.llama_instance, 
-        stream=interpreter.env["chat.stream"] == "true",
-        max_runs=int(interpreter.env["auto.max_runs"]),
-        cb=cb
-    )
-    
-    original_handler = signal.getsignal(signal.SIGINT)
-
-    try:
-        signal.signal(signal.SIGINT, signal_handler)
-        spinner.start()
-        return loop.run_until_complete(chat_auto.achat())
-    except KeyboardInterrupt:
-        builtins.print("\033[91m\nOperation cancelled by user.\033[0m")
-        tasks = asyncio.all_tasks(loop=loop)
-        for task in tasks:
-            task.cancel()
-        try:
-            loop.run_until_complete(asyncio.gather(*tasks, return_exceptions=True))
-            loop.run_until_complete(asyncio.sleep(0.1))
-        except asyncio.CancelledError:
-            pass
-        return None
-    finally:
-        signal.signal(signal.SIGINT, original_handler)
-        spinner.stop()
-        litellm.in_memory_llm_clients_cache.flush_cache()

Attic/py/r2ai/cli.py

@@ -1,3 +0,0 @@
-from .main import run # pylint: disable=wrong-import-position
-
-run()

Attic/py/r2ai/env.py

@@ -1,13 +0,0 @@
-from typing import Iterable, Callable
-
-class R2AiEnv(dict):
-    def __init__(self):
-        self._callbacks = {}
-        
-    def add_callback(self, key: str, callback: Callable):
-        self._callbacks[key] = callback
-        
-    def __setitem__(self, __key, __value) -> None:
-        if __key in self._callbacks:
-            self._callbacks[__key](__value)
-        return super().__setitem__(__key, __value)

Attic/py/r2ai/interpreter.py

@@ -1,579 +0,0 @@
-import builtins
-import re
-import os
-import sys
-import traceback
-import json
-import platform
-have_local = True
-import getpass
-
-try:
-    import tokentrim
-except Exception:
-    have_local = False
-
-from rich.rule import Rule
-from signal import signal, SIGINT
-
-from .env import R2AiEnv
-from .large import Large
-from .utils import merge_deltas
-from .message_block import MessageBlock
-from .code_block import CodeBlock
-from .backend import kobaldcpp
-
-from .models import get_hf_llm, new_get_hf_llm, get_default_model
-from .voice import tts
-from .const import R2AI_HOMEDIR
-from . import LOGGER, logging
-from .web import stop_http_server, server_running
-from .progress import progress_bar
-
-file_dir = os.path.dirname(__file__)
-sys.path.append(file_dir)
-import index
-
-r2clippy = False
-have_rlang = False
-try:
-    import r2lang
-    have_rlang = True
-    print = r2lang.print
-    r2clippy = True
-except Exception:
-    pass
-
-Ginterrupted = False
-def signal_handler(sig, frame):
-    global Ginterrupted
-    if Ginterrupted:
-        stop_http_server(force=True) # kill if in background
-        sys.exit(0) # throws exception
-    Ginterrupted = True
-    print("^C 0", file=sys.stderr)
-    stop_http_server(force=False)
-signal(SIGINT, signal_handler)
-
-def exception_handler(self, sig, frame):
-    global Ginterrupted
-    traceback.print_exc()
-    if Ginterrupted:
-        sys.exit(0) # throws exception
-    Ginterrupted = True
-    print("^C 1", file=sys.stderr)
-# sys.excepthook = exception_handler
-
-def incodeblock(msg):
-  return "content" in msg and msg["content"].count("```") % 2 == 1
-
-def r2eval(m):
-    if "$(" in m and have_rlang:
-        def evaluate_expression(match):
-            expression = match.group(1)
-            try:
-                result = r2lang.cmd(expression)
-                return result
-            except Exception as e:
-                return f"Error: {e}"
-        return re.sub(r'\$\((.*?)\)', evaluate_expression, m)
-    return m
-
-from utils import syscmdstr
-
-def ddg(m):
-    print("[R2AI] Crawling the web with ddg and curl+sed")
-    m = m.replace("'", "")
-    res = syscmdstr(f"cd examples; ./scrap-ddgweb.sh '{m}'")
-    return f"Considering:\n```{res}\n```\n"
-
-def is_litellm_model(model):
-    import warnings
-    warnings.filterwarnings('ignore')
-    import litellm
-    provider = None
-    model_name = None
-    if model.startswith ("/"):
-        return False
-    provider = None
-    if "/" in model:
-        provider = model.split("/")[0]
-    elif ":" in model:
-        provider = model.split(":")[0]
-    if provider in litellm.LITELLM_CHAT_PROVIDERS:
-        return True
-    return False
-
-class Interpreter:
-    def __init__(self):
-        self.logger = LOGGER
-        self.mistral = None
-        self.messages = []
-        self.terminator = "</s>" ## taken from the model using the llama api
-        self.api_key = None # openai?
-        self.print = None
-        self.auto_run = False
-        self.model = get_default_model()
-        self.last_model = ""
-        self.env = R2AiEnv()
-        self.system_message = ""
-        self.env["llm.model"] = self.model ## TODO: dup. must get rid of self.model
-        self.env["llm.gpu"] = "true"
-        self.env["llm.layers"] = "-1"
-        self.env["llm.window"] = "32768" # "4096" # context_window
-        self.env["llm.maxtokens"] = "4096" # "1750"
-        self.env["llm.maxmsglen"] = "8096" # "1750"
-        self.env["llm.temperature"] = "0.002"
-        self.env["llm.repeat_penalty"] = "1.0"
-        self.env["llm.top_p"] = "0.95"
-        self.env["llm.top_k"] = "50"
-        self.env["user.name"] = "" # TODO auto fill?
-        self.env["user.os"] = ""
-        self.env["user.arch"] = ""
-        self.env["user.cwd"] = ""
-        self.env["user.editor"] = ""
-        self.env["user.plugins"] = f"{R2AI_HOMEDIR}/plugins"
-        self.env["voice.lang"] = "en"
-        self.env["voice.model"] = "base"
-        self.env["data.use"] = "false"
-        self.env["data.path"] = f"{R2AI_HOMEDIR}/doc/data"
-        self.env["data.local"] = "false"
-        self.env["data.wikit"] = "false"
-        self.env["data.ddg"] = "false"
-        self.env["data.mastodon"] = "false"
-        self.env["data.vectordb"] = "false"
-        self.env["data.hist"] = "false"
-        self.env["key.mastodon"] = ""
-        self.env["http.port"] = "8080"
-        self.env["http.tabby"] = "false"
-        self.env["http.path"] = ""
-        self.env["http.verbose"] = "true" # not used yet
-        self.env["http.chatctx"] = "false"
-        self.env["debug_level"] = os.getenv("R2AI_LOG", "2")
-        if have_rlang:
-            self.env["chat.live"] = "false"
-        else:
-            self.env["chat.live"] = "true"
-        # self.env["chat.model"] = "" # TODO
-        self.env["chat.trim"] = "false"
-        self.env["chat.voice"] = "false"
-        self.env["chat.bubble"] = "false"
-        self.env["chat.reply"] = "false"
-        self.env["chat.code"] = "true"
-        self.env["chat.rawdog"] = "false"
-        self.env["chat.reasoning_effort"] = "high"
-        self.env["chat.stream"] = "true"
-        self.env["chat.show_cost"] = "false"
-        self.env["chat.drop_params"] = "false"
-        self.env["chat.openai_store"] = "false"
-        self.env["auto.max_runs"] = "100"
-        self.env["auto.hide_tool_output"] = "false"
-        self.env["auto.init_commands"] = "aaa;iI;afl"
-        self.env["auto.ask_to_execute"] = "true"  # ask to run tools such as r2cmd, run_python etc
-
-        self.env.add_callback("debug_level", lambda val: LOGGER.setLevel(int(val) * 10))
-
-        # No active block to start
-        # (blocks are visual representation of messages on the terminal)
-        self.active_block = None
-
-        # Note: While Open Interpreter can use Llama, we will prioritize gpt-4.
-        # gpt-4 is faster, smarter, can call functions, and is all-around easier to use.
-        # This makes gpt-4 better aligned with Open Interpreters priority to be easy to use.
-        self.llama_instance = None
-        self.large = Large(self)
-
-    def get_info_for_system_message(self):
-        """Gets relevent information for the system message."""
-        info = ""
-        # Add user info
-        getpass.getuser()
-        os.getcwd()
-        platform.system()
-        # info += f"[User Info]\nName: {username}\nCWD: {current_working_directory}\nOS: {operating_system}"
-        return info
-
-    def reset(self):
-        """Resets the interpreter."""
-        self.messages = []
-
-    def load(self, messages):
-        self.messages = messages
-
-    def save(self, f):
-        json.dumps(self.messages, f, indent=2)
-
-    def handle_undo(self, arguments):
-        """Remove all messages after the most recent user entry (and the entry itself).
-        Therefore user can jump back to the latest point of conversation.
-        Also gives a visual representation of the messages removed."""
-        if len(self.messages) == 0:
-            return
-        # Find the index of the last 'role': 'user' entry
-        last_user_index = None
-        for i, message in enumerate(self.messages):
-            if message.get('role') == 'user':
-                last_user_index = i
-        removed_messages = []
-        # Remove all messages after the last 'role': 'user'
-        if last_user_index is not None:
-            removed_messages = self.messages[last_user_index:]
-            self.messages = self.messages[:last_user_index]
-
-        # Print out a preview of what messages were removed.
-        for message in removed_messages:
-            if message.get("content"):
-                print(f"**Removed message:** `\"{message['content'][:30]}...\"`")
-            elif 'function_call' in message:
-                print(f"**Removed codeblock**") # TODO: Could add preview of code removed here.
-
-    # reimplement using nltk or index.match
-    def keywords_ai(self, text):
-        # kws = self.keywords_ai("who is the author of radare?") => "author,radare2"
-        words = []
-        mmname = "TheBloke/Mistral-7B-Instruct-v0.2-GGUF"
-        ctxwindow = int(self.env["llm.window"])
-        mm = new_get_hf_llm(self, mmname, ctxwindow)
-        msg = f"Considering the sentence \"{text}\" as input, Take the KEYWORDS or combination of TWO words from the given text and respond ONLY a comma separated list of the most relevant words. DO NOT introduce your response, ONLY show the words"
-        msg = f"Take \"{text}\" as input, and extract the keywords and combination of keywords to make a search online, the output must be a comma separated list" #Take the KEYWORDS or combination of TWO words from the given text and respond ONLY a comma separated list of the most relevant words. DO NOT introduce your response, ONLY show the words"
-        response = mm(msg, stream=False, temperature=0.1, stop="</s>", max_tokens=1750)
-        self.logger.debug(response)
-        text0 = response["choices"][0]["text"]
-        text0 = text0.replace('"', ",")
-        if text0.startswith("."):
-            text0 = text0[1:].strip()
-        try:
-            text0 = text0.split(":")[1].strip()
-        except Exception:
-            pass
-        # print(text0)
-        mm = None
-        return [word.strip() for word in text0.split(',')]
-
-    @progress_bar("Thinking", color="yellow") 
-    def chat(self, message=None):
-        global print
-        global Ginterrupted
-        if self.print is not None:
-            print = self.print
-
-        if self.last_model != self.model:
-#            self.llama_instance = None
-            self.last_model = self.model
-
-        if not message and self.env["chat.code"] == "true":
-            self.end_active_block()
-            self.logger.error("Missing message")
-            return
-
-        if self.env["data.use"] == "true":
-            use_hist = self.env["data.hist"] == "true"
-            use_wikit = self.env["data.wikit"] == "true"
-            use_mastodon = self.env["data.mastodon"] == "true"
-            use_vectordb = self.env["data.vectordb"] == "true"
-            use_debug = LOGGER.level == logging.DEBUG
-            datadir = None
-            keywords = None
-            if use_mastodon:
-                keywords = self.keywords_ai(message)
-            if self.env["data.local"] == "true":
-                datadir = self.env["data.path"]
-            if self.env["data.ddg"] == "true":
-                results = ddg(message)
-                if use_vectordb:
-                    index.memorize(message, results)
-                else:
-                    self.messages.append({"role": "hint", "content": results})
-            matches = index.match(message, keywords, datadir, use_hist, use_mastodon, use_debug, use_wikit, use_vectordb)
-            if not matches:
-                matches = []
-
-            if len(matches) > 0:
-                for m in matches:
-                    self.logger.debug("HINT: " + m)
-                    self.messages.append({"role": "hint", "content": r2eval(m)})
-
-        self.logger.debug(message)
-
-        # print(message)
-        # Local model -- TODO: assume local models don't have : in the name?
-        if (
-            not self.model.startswith("openai:") and
-            not self.model.startswith("openapi:") and
-            not self.model.startswith("google:") and
-            not self.model.startswith("kobaldcpp") and
-            not self.model.startswith("bedrock:") and
-            not is_litellm_model(self.model)
-        ):
-            self.logger = LOGGER.getChild(f"local:{self.model}")
-            # Find or install Code-Llama
-            try:
-                ctxwindow = int(self.env["llm.window"])
-                self.llama_instance = new_get_hf_llm(self, self.model, ctxwindow)
-                if self.llama_instance is None:
-                    self.logger.error("Cannot find model " + self.model)
-                    return
-            except Exception:
-                traceback.print_exc()
-
-        # If it was, we respond non-interactively
-        self.messages.append({"role": "user", "content": message})
-        response = None
-        try:
-            response = self.respond()
-            self.clear_hints()
-        except Exception:
-            if Ginterrupted:
-                Ginterrupted = False
-            else:
-                traceback.print_exc()
-        self.end_active_block()
-        return response
-    
-    def end_active_block(self):
-        # if self.env["chat.code"] == "false":
-        # return
-        if self.active_block:
-            self.active_block.end()
-            self.active_block = None
-
-    def environment(self):
-        kvs = ""
-        if self.env["user.name"] != "":
-            kvs += "Name: " + self.env["user.name"] + "\n"
-        if self.env["user.os"] != "":
-            kvs += "OS: " + self.env["user.os"] + "\n"
-        if self.env["user.cwd"] != "":
-            kvs += "CWD: " + self.env["user.cwd"] + "\n"
-        if self.env["user.editor"] != "":
-            kvs += "EDITOR: " + self.env["user.editor"] + "\n"
-        if self.env["user.arch"] != "":
-            kvs += "ARCH: " + self.env["user.arch"] + "\n"
-        # info += f"[User Info]\nName: {username}\nCWD: {current_working_directory}\nOS: {operating_system}"
-        if kvs != "":
-            return "[User Info]\n" + kvs
-        return ""
-
-    def clear_hints(self):
-        res = []
-        for msg in self.messages:
-            if "role" in msg and msg["role"] != "hint":
-                res.append(msg)
-        self.messages = res
-
-    def respond(self):
-        global Ginterrupted
-        self.logger = LOGGER.getChild(self.model.split(":")[0])
-        maxtokens = int(self.env["llm.maxtokens"])
-        # Add relevant info to system_message
-        # (e.g. current working directory, username, os, etc.)
-        info = self.get_info_for_system_message()
-
-        # This is hacky, as we should have a different (minified) prompt for CodeLLama,
-        # but for now, to make the prompt shorter and remove "run_code" references, just get the first 2 lines:
-        self.system_message = "\n".join(self.system_message.split("\n")[:2])
-        # self.system_message += "\nOnly do what the user asks you to do, then ask what they'd like to do next."
-
-        system_message = self.system_message + "\n\n" + info
-        system_message += self.environment()
-
-        if self.env["chat.trim"] == "true":
-            ## this stupid function is slow as hell and doesn not provides much goodies
-            ## just ignore it by default
-            messages = tokentrim.trim(self.messages, max_tokens=maxtokens, system_message=system_message)
-        else:
-            messages = self.large.compress_messages(self.messages)
-
-            self.logger.debug(messages)
-
-        # builtins.print(prompt)
-        response = None
-        if self.auto_run:
-            from . import auto
-            import litellm
-            if self.env["chat.drop_params"] == "true":
-                litellm.drop_params = True
-            else:
-                litellm.drop_params = False
-
-            if(is_litellm_model(self.model)):
-                response = auto.chat(self)
-            else:
-                self.llama_instance = new_get_hf_llm(self, self.model, int(self.env["llm.window"]))
-                response = auto.chat(self)
-            return
-
-        elif self.model.startswith("kobaldcpp"):
-            if self.system_message != "":
-                message = f"Context:\n```\n{self.system_message}\n```\n"
-            else:
-                message = ""
-            #f"{Your name is r2ai, an assistant for radare2. User will ask about actions and you must respond with the radare2 command associated or the answer to the question. Be precise and concise when answering"
-            for m in messages:
-                role = m["role"]
-                content = m["content"]
-                if role == "user":
-                    message += f"User: {content}\n"
-                elif role == "assistant":
-                    message += f"AI: {content}\n"
-            response = ""
-            if ":" in self.model:
-                uri = self.model.split(":")[1:]
-                response = kobaldcpp.chat(message, ":".join(uri))
-            else:
-                response = kobaldcpp.chat(message)
-            if "content" in self.messages[-1]:
-                last_message = self.messages[-1]["content"]
-            if self.env["chat.reply"] == "true":
-                self.messages.append({"role": "assistant", "content": response})
-            print(response)
-            return
-
-        elif is_litellm_model(self.model):
-            # [
-            #  {"role": "system", "content": "You are a poetic assistant, be creative."},
-            #  {"role": "user", "content": "Compose a poem that explains the concept of recursion in programming."}
-            # ]
-            from litellm import completion as litellm_completion
-            completion = None
-            if self.model.startswith("ollama/"):
-                completion = litellm_completion(
-                    model=self.model,
-                    messages=self.messages,
-                    drop_params=True,
-                    max_completion_tokens=maxtokens,
-                    temperature=float(self.env["llm.temperature"]),
-                    top_p=float(self.env["llm.top_p"]),
-                )
-            elif self.model.startswith("mistral/"):
-                completion = litellm_completion(
-                    drop_params=True,
-                    model=self.model.replace(":", "/"),
-                    messages=self.messages,
-                    max_completion_tokens=maxtokens,
-                    temperature=float(self.env["llm.temperature"]),
-                    top_p=float(self.env["llm.top_p"]),
-                )
-            else:
-                completion = litellm_completion(
-                    model=self.model.replace(":", "/"),
-                    messages=self.messages,
-                    max_completion_tokens=maxtokens,
-                    temperature=float(self.env["llm.temperature"]),
-                    top_p=float(self.env["llm.top_p"]),
-                )
-
-            response = completion.choices[0].message.content
-            if "content" in self.messages[-1]:
-                last_message = self.messages[-1]["content"]
-                if self.env["chat.reply"] == "true":
-                    self.messages.append({"role": "assistant", "content": response})
-                print(response)
-                return response
-
-        else:
-            # non-openai aka local-llama model
-            if self.llama_instance == None:
-                self.logger.critical("Llama is not instantiated")
-                return
-            try:
-                if type(self.terminator).__name__ == "list":
-                    terminator = self.terminator
-                else:
-                    terminator = [self.terminator]
-                chat_args = {
-                    "stream": True,
-                    "temperature": float(self.env["llm.temperature"]),
-                    "repeat_penalty": float(self.env["llm.repeat_penalty"]),
-                    "top_p": float(self.env["llm.top_p"]),
-                    "top_k": int(self.env["llm.top_k"]),
-                    "stop": terminator,
-                    "max_tokens": maxtokens
-                }
-                if self.env["chat.rawdog"] == "true":
-                    from .completion import messages_to_prompt
-                    allmsg = messages.copy()
-                    allmsg.insert(0, ChatMessage(role=MessageRole.SYSTEM, content=self.system_message))
-                    prompt = messages_to_prompt(self, allmsg)
-                    response = self.llama_instance(prompt, **chat_args)
-                else:
-                    all_messages = messages.copy()
-                    all_messages.insert(0, {"role": "system", "content": self.system_message})
-                    response = self.llama_instance.create_chat_completion(all_messages, **chat_args)
-            except Exception as err:
-                traceback.print_exc()
-                print(Exception, err)
-                if Ginterrupted:
-                    Ginterrupted = False
-                    return
-
-        if response is None:
-            print("No response")
-            ctxwindow = int(self.env["llm.window"])
-            self.llama_instance = new_get_hf_llm(self, self.model, ctxwindow)
-            return
-        # Initialize message, function call trackers, and active block
-        self.messages.append({})
-        in_function_call = False
-        self.active_block = MessageBlock()
-        for chunk in response:
-            if Ginterrupted:
-                Ginterrupted = False
-                break
-            text = ''
-            delta = None
-            if self.env["chat.rawdog"] == "true":
-                if "content" not in messages[-1]:
-                    text = chunk["choices"][0]['text'].capitalize()
-                    messages[-1] = { "content": '', "role": "assistant" }
-                else:
-                    text = chunk["choices"][0]['text']
-                messages[-1] = merge_deltas(messages[-1], {"content": text})
-            else:
-                if "content" not in messages[-1]:
-                    if "text" in chunk["choices"][0]['delta']:
-                        text = chunk["choices"][0]['delta']["content"]
-                    messages[-1] = { "content": text, "role": "assistant" }
-                    delta = {"content": text}
-                elif "content" in chunk['choices'][0]['delta']:
-                    delta = {"content": chunk['choices'][0]['delta']['content']}
-                # Accumulate deltas into the last message in messages
-                if delta:
-                    self.messages[-1] = merge_deltas(self.messages[-1], delta)
-            if self.env["chat.live"] != "true":
-                continue
-            flushed = False
-            if self.env["chat.code"] == "true":
-                if incodeblock(self.messages[-1]):
-                    if in_function_call == False:
-                        in_function_call = True
-                        self.active_block.update_from_message(self.messages[-1])
-                        self.end_active_block()
-                        # flushed = True
-                        self.active_block = CodeBlock()
-                else:
-                    if in_function_call == True:
-                        in_function_call = False
-                        self.end_active_block()
-                        flushed = True
-                        self.active_block = MessageBlock()
-            if self.env["chat.live"] == "true": # and self.env["chat.code"] == "true":
-                self.active_block.update_from_message(self.messages[-1])
-                if flushed:
-                    self.messages[-1]["content"] = ""
-            continue # end of for loop
-        self.end_active_block()
-        self.active_block = None
-        output_text = ""
-        if len(self.messages) > 0 and "content" in self.messages[-1]:
-            output_text = self.messages[-1]["content"].strip()
-        if self.env["chat.reply"] == "true":
-            self.messages.append({"role": "assistant", "content": output_text})
-        if self.env["chat.voice"] == "true":
-            tts("(assistant)", output_text, self.env["voice.lang"])
-        elif self.env["chat.live"] != "true":
-            try:
-                r2lang.print(output_text)
-            except Exception:
-                print(output_text)
-            # print(str(self.messages))

Attic/py/r2ai/partial_json_parser.py

@@ -1,223 +0,0 @@
-class IncompleteJSONParser:
-    def __init__(self, s):
-        self.s = s
-        self.len = len(s)
-        self.pos = 0
-
-    def parse(self):
-        self.skip_whitespace()
-        if self.pos >= self.len:
-            return None
-        char = self.s[self.pos]
-        if char == '{':
-            return self.parse_object()
-        elif char == '[':
-            return self.parse_array()
-        else:
-            return None  # Top-level must be object or array
-
-    def parse_object(self):
-        if self.s[self.pos] != '{':
-            return None
-        self.pos += 1  # Skip '{'
-        self.skip_whitespace()
-        obj = {}
-        parsed_any = False  # Flag to check if any key-value pair was parsed
-
-        while self.pos < self.len:
-            self.skip_whitespace()
-            if self.pos >= self.len:
-                break
-            if self.s[self.pos] == '}':
-                self.pos += 1
-                return obj if parsed_any else None
-            key = self.parse_string()
-            if key is None:
-                # Incomplete key, skip the rest
-                break
-            self.skip_whitespace()
-            if self.pos >= self.len or self.s[self.pos] != ':':
-                # Missing colon, skip this key
-                break
-            self.pos += 1  # Skip ':'
-            self.skip_whitespace()
-            value = self.parse_value()
-            if value is None:
-                # Incomplete value, skip this key-value pair
-                break
-            obj[key] = value
-            parsed_any = True
-            self.skip_whitespace()
-            if self.pos >= self.len:
-                break
-            if self.s[self.pos] == ',':
-                self.pos += 1
-                continue
-            elif self.s[self.pos] == '}':
-                self.pos += 1
-                return obj if parsed_any else None
-            else:
-                # Unexpected character, skip
-                break
-        # Auto-close the object
-        return obj if parsed_any else None
-
-    def parse_array(self):
-        if self.s[self.pos] != '[':
-            return None
-        self.pos += 1  # Skip '['
-        self.skip_whitespace()
-        array = []
-        parsed_any = False  # Flag to check if any element was parsed
-
-        while self.pos < self.len:
-            self.skip_whitespace()
-            if self.pos >= self.len:
-                break
-            if self.s[self.pos] == ']':
-                self.pos += 1
-                return array if parsed_any else None
-            value = self.parse_value()
-            if value is None:
-                # Incomplete value, skip this element
-                break
-            array.append(value)
-            parsed_any = True
-            self.skip_whitespace()
-            if self.pos >= self.len:
-                break
-            if self.s[self.pos] == ',':
-                self.pos += 1
-                continue
-            elif self.s[self.pos] == ']':
-                self.pos += 1
-                return array if parsed_any else None
-            else:
-                # Unexpected character, skip
-                break
-        # Auto-close the array
-        return array if parsed_any else None
-
-    def parse_value(self):
-        self.skip_whitespace()
-        if self.pos >= self.len:
-            return None
-        char = self.s[self.pos]
-        if char == '"':
-            return self.parse_string()
-        elif char == '{':
-            return self.parse_object()
-        elif char == '[':
-            return self.parse_array()
-        elif char in '-0123456789':
-            return self.parse_number()
-        elif self.s.startswith('true', self.pos):
-            self.pos += 4
-            return True
-        elif self.s.startswith('false', self.pos):
-            self.pos += 5
-            return False
-        elif self.s.startswith('null', self.pos):
-            self.pos += 4
-            return None
-        else:
-            return None  # Invalid value
-
-    def parse_string(self):
-        if self.s[self.pos] != '"':
-            return None
-        self.pos += 1  # Skip opening quote
-        result = ""
-        while self.pos < self.len:
-            char = self.s[self.pos]
-            if char == '\\':
-                if self.pos + 1 >= self.len:
-                    result += '\\'
-                    self.pos += 1
-                    break  # Incomplete escape, return what we have
-                self.pos += 1
-                escape_char = self.s[self.pos]
-                if escape_char == '"':
-                    result += '"'
-                elif escape_char == '\\':
-                    result += '\\'
-                elif escape_char == '/':
-                    result += '/'
-                elif escape_char == 'b':
-                    result += '\b'
-                elif escape_char == 'f':
-                    result += '\f'
-                elif escape_char == 'n':
-                    result += '\n'
-                elif escape_char == 'r':
-                    result += '\r'
-                elif escape_char == 't':
-                    result += '\t'
-                elif escape_char == 'u':
-                    # Unicode escape
-                    if self.pos + 4 >= self.len:
-                        # Incomplete unicode escape
-                        break
-                    hex_digits = self.s[self.pos+1:self.pos+5]
-                    try:
-                        code_point = int(hex_digits, 16)
-                        result += chr(code_point)
-                        self.pos += 4
-                    except ValueError:
-                        break  # Invalid unicode escape
-                else:
-                    # Invalid escape character
-                    result += '\\' + escape_char  # Keep it as is
-            elif char == '"':
-                self.pos += 1  # Skip closing quote
-                return result
-            else:
-                result += char
-            self.pos += 1
-        # Return the partial string if incomplete
-        return result
-        
-    def parse_number(self):
-        start = self.pos
-        if self.s[self.pos] == '-':
-            self.pos += 1
-        if self.pos >= self.len:
-            return None
-        if self.s[self.pos] == '0':
-            self.pos += 1
-        elif '1' <= self.s[self.pos] <= '9':
-            while self.pos < self.len and self.s[self.pos].isdigit():
-                self.pos += 1
-        else:
-            return None  # Invalid number
-        if self.pos < self.len and self.s[self.pos] == '.':
-            self.pos += 1
-            if self.pos >= self.len or not self.s[self.pos].isdigit():
-                return None  # Incomplete fraction
-            while self.pos < self.len and self.s[self.pos].isdigit():
-                self.pos += 1
-        if self.pos < self.len and self.s[self.pos] in 'eE':
-            self.pos += 1
-            if self.pos < self.len and self.s[self.pos] in '+-':
-                self.pos += 1
-            if self.pos >= self.len or not self.s[self.pos].isdigit():
-                return None  # Incomplete exponent
-            while self.pos < self.len and self.s[self.pos].isdigit():
-                self.pos += 1
-        num_str = self.s[start:self.pos]
-        try:
-            if '.' in num_str or 'e' in num_str or 'E' in num_str:
-                return float(num_str)
-            else:
-                return int(num_str)
-        except ValueError:
-            return None  # Invalid number
-
-    def skip_whitespace(self):
-        while self.pos < self.len and self.s[self.pos] in ' \t\n\r':
-            self.pos += 1
-
-def parse_incomplete_json(s):
-    parser = IncompleteJSONParser(s)
-    result = parser.parse()
-    return result

Attic/py/r2ai/plugin.py

@@ -1,47 +0,0 @@
-"""Entrypoint for the r2ai plugin and repl."""
-import sys
-import os
-import builtins
-import traceback
-
-current_dir = os.path.dirname(os.path.realpath(__file__))
-parent_dir = os.path.dirname(current_dir)
-sys.path.insert(0, parent_dir)
-os.environ["TRANSFORMERS_NO_ADVISORY_WARNINGS"] = "1"
-try:
-    venv_dir = os.path.join(parent_dir, 'venv')
-    if os.path.exists(venv_dir):
-        site_packages = os.path.join(venv_dir, 'lib', 'python{}.{}'.format(*sys.version_info[:2]), 'site-packages')
-        if os.path.exists(site_packages):
-            sys.path.insert(0, site_packages)
-except Exception:
-    pass
-
-import r2lang
-from r2ai.main import r2ai_singleton, run_rcfile_once, runline, help_message
-
-def r2ai_rlang_plugin(unused_but_required_argument):
-    ai = r2ai_singleton()
-    def _call(s):
-        if not s.startswith("r2ai"):
-            return False
-        try:
-            run_rcfile_once(ai)
-            if len(s) == 4:
-                builtins.print(help_message)
-            else:
-                usertext = s[4:].strip()
-                runline(ai, usertext)
-        except Exception as e:
-            builtins.print(e)
-            traceback.print_exc()
-        return True
-
-    return {
-        "name": "r2ai",
-        "license": "MIT",
-        "desc": "run llama language models inside r2",
-        "call": _call,
-    }
-
-r2lang.plugin("core", r2ai_rlang_plugin)

Attic/py/r2ai/spinner.py

@@ -1,42 +0,0 @@
-import itertools
-import threading
-import time
-import sys
-
-class Spinner:
-    def __init__(self, message="Loading...", delay=0.1):
-        self.spinner = itertools.cycle([
-            "\033[1;31m⠋\033[0m", "\033[1;32m⠙\033[0m", "\033[1;33m⠹\033[0m", "\033[1;34m⠸\033[0m",
-            "\033[1;35m⠼\033[0m", "\033[1;36m⠴\033[0m", "\033[1;37m⠦\033[0m", "\033[1;31m⠧\033[0m",
-            "\033[1;32m⠇\033[0m", "\033[1;33m⠏\033[0m"
-        ])
-        self.message = message
-        self.delay = delay
-        self.running = False
-        self.thread = None
-        self.start_time = None
-
-    def start(self):
-        """Start the spinner in a separate thread."""
-        self.running = True
-        self.start_time = time.time()
-        self.thread = threading.Thread(target=self._spin)
-        self.thread.start()
-
-    def _spin(self):
-        """Spin the spinner while running is True."""
-        while self.running:
-            elapsed_time = time.time() - self.start_time
-            sys.stdout.write(f"\r{self.message} {next(self.spinner)} {elapsed_time:.1f}s")
-            sys.stdout.flush()
-            time.sleep(self.delay)
-        sys.stdout.write('\r' + ' ' * (len(self.message) + 20) + '\r')  # Clear the line
-        sys.stdout.flush()
-
-    def stop(self):
-        """Stop the spinner."""
-        self.running = False
-        if self.thread is not None:
-            self.thread.join()
-
-spinner = Spinner("")

Attic/py/r2ai/test.py

@@ -1,37 +0,0 @@
-import builtins
-from .tools import run_python, execute_binary, r2cmd
-import subprocess
-from .pipe import get_filename
-import time
-py_code = """
-print('hello test')
-"""
-
-def run_test(args):
-    if not args or len(args) == 0:
-        res = run_python(py_code).strip()
-        print(f"run_python: {res}", len(res))
-        assert res == "hello test"
-        print("run_python: test passed")
-        r2cmd("o--;o /bin/ls")
-        res = execute_binary(args=["-d", "/etc"]).strip()
-        subp = subprocess.run(["/bin/ls", "-d", "/etc"], capture_output=True, text=True)
-        print("exec result", res)
-        print("subp result", subp.stdout)
-        assert ''.join(res).strip() == subp.stdout.strip()
-        print("execute_binary with args: test passed")
-    else:
-        cmd, *args = args.split(" ", 1)
-        if cmd == "get_filename":
-            builtins.print(get_filename())
-        elif cmd == "run_python":
-            builtins.print(f"--- args ---")
-            builtins.print(args)
-            builtins.print(f"--- end args ---")
-            builtins.print(f"--- result ---")
-            builtins.print(run_python(args[0]))
-            builtins.print(f"--- end result ---")
-        elif cmd == "r2cmd":
-            builtins.print(f"--- {args} ---")
-            builtins.print(r2cmd(args))
-            builtins.print("--- end ---")

Attic/py/r2ai/tools.py

@@ -1,176 +0,0 @@
-from r2ai.pipe import get_r2_inst
-import json
-import builtins
-import base64
-from .pipe import get_filename
-from . import LOGGER
-import time
-import sys
-from io import StringIO
-import subprocess
-import os
-is_plugin = False
-try:
-    import r2lang
-    is_plugin = True
-except Exception:
-    is_plugin = False
-    pass
-
-def r2cmd(command: str):
-    """
-    Run a r2 command and return the output
-
-    Parameters
-    ----------
-    command: str
-        The r2 command to run
-
-    Returns
-    -------
-    dict
-        The output of the r2 command
-    """
-    r2 = get_r2_inst()
-    r2.cmd('e scr.color=3')
-    if command.startswith('r2 '):
-        return "You are already in r2!"
-    cmd = '{"cmd":' + json.dumps(command) + '}'
-    res = r2.cmd(cmd)
-
-    try:
-        res = json.loads(res)
-        if 'error' in res and res['error'] is True:
-            error_message = res['error']
-            log_messages = '\n'.join(log['message'] for log in res.get('logs', []))
-            # return { 'type': 'error', 'output': log_messages }
-            return log_messages
-        
-        return res['res']
-    except json.JSONDecodeError:
-        if type(res) == str:
-            spl = res.strip().split('\n')
-            if spl[-1].startswith('{"res":""'):
-                res = '\n'.join(spl[:-1])
-        return res
-    except Exception as e:
-        # return { 'type': 'error', 'output': f"Error running r2cmd: {e}\nCommand: {command}\nResponse: {res}" }
-        return f"Error running r2cmd: {e}\nCommand: {command}\nResponse: {res}"
-    
-def run_python(command: str):
-    """
-    Run a python script and return the output
-
-    Parameters
-    ----------
-    command: str
-        The python script to run
-
-    Returns
-    -------
-    str
-        The output of the python script
-    """
-    r2 = get_r2_inst()
-    res = ""
-    is_plugin = False
-    python_path = sys.executable
-    try:
-        proc = subprocess.run([python_path, '-c', command], 
-                            capture_output=True,
-                            text=True)
-        res = proc.stdout
-        if proc.stderr:
-            res += proc.stderr
-    except Exception as e:
-        res = str(e)
-    
-    # if is_plugin:
-    #     base64cmd = base64.b64encode(command.encode('utf-8')).decode('utf-8')
-    #     res += r2cmd(f'#!python -e base64:{base64cmd} > .r2ai_tmp.log')
-    #     res += r2cmd('cat .r2ai_tmp.log')
-    #     r2cmd('rm .r2ai_tmp.log')
-    # else:
-    #     with open('r2ai_tmp.py', 'w') as f:
-    #         f.write(command)
-    #     r2 = get_r2_inst()
-    #     res += r2cmd('#!python r2ai_tmp.py > .r2ai_tmp.log')
-    #     time.sleep(0.1)
-    #     res += r2cmd('!cat .r2ai_tmp.log')
-    #     LOGGER.debug(f'run_python: {res}')
-    #     # r2cmd('rm r2ai_tmp.py')
-    #     # r2cmd('rm .r2ai_tmp.log')
-    return res        
-    
-
-schemas = {
-    "execute_binary": {
-        "name": "execute_binary",
-        "description": "Execute a binary with the given arguments and stdin",
-        "parameters": {
-        "type": "object",
-        "properties": {
-            "args": {
-                "description": "The arguments to pass to the binary. Do not include the file name.",
-                "type": "array",
-                "items": {
-                    "type": "string"
-                }
-            },
-            "stdin": {
-                "type": "string"
-            }
-            }
-        }
-    }
-}
-
-def execute_binary(args: list[str] = [], stdin: str = ""):
-    filename = get_filename()
-    if filename:
-        if os.path.isabs(filename):
-            abs_path = os.path.abspath(filename)
-            if os.path.exists(abs_path):
-                filename = abs_path
-        else:
-            cwd_path = os.path.join(os.getcwd(), filename) 
-            if os.path.exists(cwd_path):
-                filename = cwd_path
-        try:
-            cmd = [filename] + args
-            proc = subprocess.run(cmd, input=stdin, capture_output=True, text=True)
-            res = proc.stdout
-            if proc.stderr:
-                res += proc.stderr
-            return res
-        except Exception as e:
-            return str(e)
-    return ""
-    # r2 = get_r2_inst()
-    # if stdin:
-    #     r2.cmd(f'dor stdin={json.dumps(stdin)}')
-    # if len(args) > 0:
-    #     r2.cmd(f"ood {' '.join(args)}")
-    # else:
-    #     r2.cmd("ood")
-    # res = r2cmd("dc")
-    # return res
-
-
-
-def print_tool_call(msg):
-    if msg['function']['name'] == 'r2cmd':
-        builtins.print('\x1b[1;32m> \x1b[4m' + msg['function']['arguments']['command'] + '\x1b[0m')
-    elif msg['function']['name'] == 'run_python':
-        builtins.print('\x1b[1;32m> \x1b[4m' + "#!python" + '\x1b[0m')
-        builtins.print(msg['function']['arguments']['command'])
-    elif msg['function']['name'] == 'execute_binary':
-        filename = get_filename() or 'bin'
-        stdin = msg['function']['arguments']['stdin'] if 'stdin' in msg['function']['arguments'] else None
-        args = msg['function']['arguments']['args'] if 'args' in msg['function']['arguments'] else []
-        cmd = filename
-        if args and len(args) > 0:
-            cmd += ' ' + ' '.join(args)
-        if stdin and len(stdin) > 0:
-            cmd += f' stdin={stdin}'
-        builtins.print('\x1b[1;32m> \x1b[4m' + cmd + '\x1b[0m')

Attic/py/r2ai/ui/chat.py

@@ -1,25 +0,0 @@
-from litellm import acompletion, ChatCompletionAssistantToolCall, ChatCompletionToolCallFunctionChunk
-import asyncio
-import json
-import signal
-from r2ai.pipe import get_r2_inst
-from r2ai.tools import run_python, r2cmd, execute_binary
-from r2ai.repl import r2ai_singleton
-from r2ai.auto import ChatAuto, SYSTEM_PROMPT_AUTO
-from r2ai.interpreter import is_litellm_model
-from r2ai.models import new_get_hf_llm
-
-def signal_handler(signum, frame):
-    raise KeyboardInterrupt
-
-async def chat(ai, message, cb):
-    model = ai.model.replace(":", "/")
-    tools = [r2cmd, run_python, execute_binary]
-    ai.messages.append({"role": "user", "content": message})
-    tool_choice = 'auto'
-    if not is_litellm_model(model) and ai and not ai.llama_instance:
-        ai.llama_instance = new_get_hf_llm(ai, model, int(ai.env["llm.window"]))
-    
-    chat_auto = ChatAuto(model, interpreter=ai, system=SYSTEM_PROMPT_AUTO, tools=tools, messages=ai.messages, tool_choice=tool_choice, cb=cb)
-
-    return await chat_auto.achat()

Attic/server/README.md

@@ -1,25 +0,0 @@
-# r2ai-server
-
-Start ollama, llamacpp, llamafile, r2ai, kobaldcpp and other language model webservers using a the same syntax for all of them to simplify its launching and setup.
-
-* Use -l to list the implementations available
-
-You can install more via r2pm
-
-* Use -m to list or select the model. Those models can be absolute paths or model names when downloaded via r2ai, which uses the hugging face api
-
-## Running r2ai-server
-
-- Get usage: `r2pm -r r2ai-server`
-- List available servers: `r2pm -r r2ai-server -l`
-- List available models: `r2pm -r r2ai-server -m`
-
-On Linux, models are stored in `~/.r2ai.models/`. File `~/.r2ai.model` lists the default model and other models.
-
-**Example launching a local Mistral AI server:**
-
-```
-$ r2pm -r r2ai-server -l r2ai -m mistral-7b-instruct-v0.2.Q2_K
-[12/13/24 10:35:22] INFO     r2ai.server - INFO - [R2AI] Serving at port 8080                               web.py:336
-```
-

Makefile

@@ -1,9 +1,92 @@
-TARGETS=all clean mrproper user-install install user-uninstall uninstall fmt indent
+R2_USER_PLUGINS=$(shell r2 -H R2_USER_PLUGINS)
+PWD=$(shell pwd)
+R2PM_BINDIR=$(shell r2pm -H R2PM_BINDIR)
+PV=3.12
+ifeq ($(shell which python${PV} > /dev/null && echo ok),ok)
+PYTHON?=python${PV}
+else
+PYTHON?=python3
+endif
+PIP=$(PYTHON) -m pip
 
-$(TARGETS):
-	$(MAKE) -C src $@
+LINTED=r2ai/code_block.py
+LINTED+=r2ai/bubble.py
+LINTED+=r2ai/const.py
+LINTED+=main.py
+LINTED+=r2ai/backend/kobaldcpp.py
+# LINTED+=r2ai/index.py
+# LINTED+=r2ai/voice.py
+# LINTED+=r2ai/anthropic.py
 
-test: all
-	$(MAKE) -C test
+ifeq ($(R2PM_BINDIR),)
+FATAL ERROR
+endif
 
-.PHONY: $(TARGETS) test
+.PHONY: all all.old deps clean deps-global pub lint cilint
+.PHONY: install uninstall user-install user-uninstall
+
+all: venv
+	@./r2ai.sh
+
+large:
+	. venv/bin/activate ; $(PYTHON) main.py -l
+
+all.old:
+	@test -n "${VIRTUAL_ENV}" || (echo "Run:"; echo ". venv/bin/activate" ; exit 1)
+	$(PYTHON) main.py || $(MAKE) deps
+
+venv:
+	$(PYTHON) -m venv venv
+	if [ -z "`find venv | grep llama_cpp`" ]; then . venv/bin/activate ; pip install -r requirements.txt ; fi
+
+deps: venv
+	#test -n "${VIRTUAL_ENV}" || (echo "Run: . venv/bin/activate" ; exit 1)
+	. venv/bin/activate && export CMAKE_ARGS="-DLLAMA_METAL=on -DLLAMA_METAL_EMBED_LIBRARY=ON" && \
+		pip install --force-reinstall -U -r requirements.txt --no-cache-dir
+
+clean:
+	rm -rf venv
+
+mrproper:
+	$(MAKE) clean
+
+deps-global:
+	export CMAKE_ARGS="-DLLAMA_METAL=on -DLLAMA_METAL_EMBED_LIBRARY=ON" && \
+		$(PIP) install --force-reinstall -U -r requirements.txt --break-system-packages --no-cache-dir
+
+user-install:
+	rm -f $(R2PM_BINDIR)/r2ai-server
+	ln -fs $(PWD)/r2ai-server/r2ai-server $(R2PM_BINDIR)/r2ai-server
+	rm -f $(R2PM_BINDIR)/r2ai
+	ln -fs $(PWD)/r2ai.sh $(R2PM_BINDIR)/r2ai
+
+install: user-install
+	-mkdir -p /usr/local/share/man/man1/r2ai.1
+	-cp doc/usage/r2ai.1 /usr/local/share/man/man1/r2ai.1
+
+install-decai:
+	$(MAKE) -C decai user-install
+
+install-server:
+	$(MAKE) -C r2ai-server user-install
+
+install-plugin user-install-plugin:
+	ln -fs $(PWD)/main.py $(R2_USER_PLUGINS)/r2ai.py
+
+uninstall user-uninstall:
+	rm -f $(R2PM_BINDIR)/r2ai
+	-rm -f /usr/local/share/man/man1/r2ai.1
+
+user-uninstall-plugin uninstall-plugin:
+	rm -f $(R2_USER_PLUGINS)/r2ai.py
+
+pub:
+	$(PYTHON) setup.py build sdist
+	twine check dist/*
+	twine upload -u __token__ --repository-url https://upload.pypi.org/legacy/ --verbose dist/*
+
+cilint:
+	pylint $(LINTED)
+
+lint:
+	pylint *.py r2ai/*.py

README.md

@@ -1,115 +1,138 @@
-# R2AI - Augmented reversing with LLM for radare2
-
-```console
-         ╭─────────────────────────────────╮
-         │ ,______  .______ .______  ,___  │
- ╭──╮    │ : __   \ \____  |:      \ : __| │
- │ _│_   │ |  \____|/  ____||  _,_  || : | │
- │ O O  <  |   :  \ \   .  ||   :   ||   | │
- │  │╷   │ |   |___\ \__:__||___|   ||   | │
- │  ││   │ |___|        :       |___||___| │
- │ ─╯│   ╰─────────────────────────────────╯
- ╰───╯
+```
+,______  .______ .______  ,___
+: __   \ \____  |:      \ : __|
+|  \____|/  ____||  _,_  || : |
+|   :  \ \   .  ||   :   ||   |
+|   |___\ \__:__||___|   ||   |
+|___|        :       |___||___|
+             *       --pancake
 ```
 
 [![ci](https://github.com/radareorg/r2ai/actions/workflows/ci.yml/badge.svg)](https://github.com/radareorg/r2ai/actions/workflows/ci.yml)
-[![radare2](https://img.shields.io/badge/radare2-6.0.4-green)](https://github.com/radareorg/radare2)
+
+Run a language model in local, without internet, to entertain you or help answering questions about radare2 or reverse engineering in general. Note that models used by r2ai are pulled from external sources which may behave different or respond unrealible information. That's why there's an ongoing effort into improving the post-finetuning using memgpt-like techniques which can't get better without your help!
+
+<p align="center">
+  <img src="doc/r2clippy.jpg">
+</p>
 
 ## Components
 
-This repository contains two plugins for radare2:
+R2AI is structured into four independent components:
 
-* **r2ai** - native [AI plugin](./src/README.md) for radare2
-* **decai** - r2js plugin with special [focus on decompilation](./decai/README.md)
-
-If you are looking to use radare2 with other agents via MCP:
-
-* **r2mcp** - the [official radare2 mcp](https://github.com/radare2/radare2-mcp)
-* **r2copilot** - the mcp with focus on CTF [r2copilot](https://github.com/darallium/r2-copilot)
-
-If you are looking for a radare2 focused autonomous agent:
-* **r2agent** - automate radare2 workflows through autonomous agents. [r2agent](https://github.com/nitanmarcel/r2agent)
+* r2ai (wip r2ai-native rewrite in C)
+  * r2-like repl using r2pipe to comunicate with r2
+  * supports auto solving mode
+  * client and server openapi protocol
+  * download and manage models from huggingface
+* decai
+  * lightweight r2js plugin
+  * focus on decompilation
+  * talks to r2ai, r2ai-server, openai, anthropic or ollama
+* r2ai-plugin
+  * requires r2lang-python
+  * adds r2ai command inside r2
+  * not recommended because of python versions pain
+* r2ai-server
+  * list and select models downloaded from r2ai
+  * simple cli tool to start local openapi webservers
+  * supports llamafile, llamacpp, r2ai-w and kobaldcpp
 
 ## Features
 
-* Configure different roles and customize prompts
-* Scriptable via r2pipe via the r2ai command
-* Live with repl and batch mode from cli or r2 prompt
-* Support Automatic (ReAct) mode to solve tasks using function calling
-* Use local and remote language models (ollama, openai, grok, anthropic, ..)
-* RAG markdown, code or textfiles using its native vector database
+* Support Auto mode (see below) to solve tasks using function calling
+* Use local and remote language models (llama, ollama, openai, anthropic, ..)
+* Support OpenAI, Anthropic, Bedrock
+* Index large codebases or markdown books using a vector database
+* Slurp file and perform actions on that
 * Embed the output of an r2 command and resolve questions on the given data
-
-## User defined Prompts
-
-```console
-[0x00000000]> r2ai -q
-explain: Explain the current function -
-devices: Find and explain devices used -
-libs: Group imports by Libraries -
-varnames: Better variable names -
-autoname: Automatically suggest a better name for this function -
-vulns: Find vulnerabilities or bugs in the current function -
-signature: Suggest an improved function signature -
-dlopen: List libraries loaded with dlopen - Some libraries are loaded
-decompile: Augmented decompilation based on LLM -
-[0x00000000]>
-```
+* Define different system-level assistant role
+* Set environment variables to provide context to the language model
+* Live with repl and batch mode from cli or r2 prompt
+* Accessible as an r2lang-python plugin, keeps session state inside radare2
+* Scriptable from python, bash, r2pipe, and javascript (r2papi)
+* Use different models, dynamically adjust query template
+  * Load multiple models and make them talk between them
 
 ## Installation
 
-The recommended way to install any of the r2ai components is via r2pm:
+Running `make` will setup a python virtual environment in the current directory installing all the necessary dependencies and will get into a shell to run r2ai.
 
-```console
-$ r2pm -Uci r2ai
-$ r2pm -Uci decai
+The installation is now splitted into two different targets:
+
+* `make install` will place a symlink in `$BINDIR/r2ai`
+* `make install-plugin` will install the native r2 plugin into your home
+* `make install-decai` will install the decai r2js decompiler plugin
+* `make install-server` will install the decai r2js decompiler plugin
+
+## Running
+
+When installed via r2pm you can execute it like this:
+
+```bash
+r2pm -r r2ai
 ```
 
-## Using r2ai
+Additionally you can get the `r2ai` command inside r2 to run as an rlang plugin by installing the bindings:
 
-- Adds the **r2ai** command to the radare2 shell: `r2 -qc r2ai`
-- You can also run the wrapper in $PATH: `r2pm -r r2ai`
-
-Drop your API keys in environment variables or use the configuration file:
-
-```console
-$ export ANTHROPIC_API_KEY=sk-ant-api03-CENSORED
-$ export OPENAI_API_KEY=sk-proj-6rlSPS-zN1v...
+```bash
+r2pm -i rlang-python
+make user-install
 ```
 
-Or edit the api keys file `~/.config/r2ai/apikeys.txt` run:
+After this you should get the `r2ai` command inside the radare2 shell. Set the `R2_DEBUG=1` environment to see the reasons why the plugin is not loaded if it's not there.
 
-```console
-$ r2ai -K
+## Windows
+
+On Windows you may follow the same instructions, just ensure you have the right python environment ready and create the venv to use
+
+```cmd
+git clone https://github.com/radareorg/r2ai
+cd r2ai
+set PATH=C:\Users\YOURUSERNAME\Local\Programs\Python\Python39\;%PATH%
+python3 -m pip -r requirements.txt
+python3 main.py
 ```
 
-## Saving settings
+## Usage
 
-You may customize and save your configuration settings using your OS's default settings file (e.g `~/.radare2rc` on Linux).
-For example, the following configuration sets Claude 3.7 by default, with max output tokens to 64000.
+There are 4 different ways to run `r2ai`:
 
+* Standalone and interactive: `r2pm -r r2ai` or `python main.py`
+* Batch mode: `r2ai '-r act as a calculator' '3+3=?'`
+* As an r2 plugin: `r2 -i main.py /bin/ls`
+* From radare2 (requires `r2pm -ci rlang-python`): `r2 -c 'r2ai -h'`
+* Using r2pipe: `#!pipe python main.py`
+  * Define a macro command: `'$r2ai=#!pipe python main.py`
 
-```console
-$ r2ai -E
+## Auto mode
+
+When using OpenAI, Claude or any of the Functionary local models you can use the auto mode which permits the language model to execute r2 commands, analyze the output in loop and in a loop until it is resolved. Here's a sample session to achieve that:
+
+* Video https://infosec.exchange/@radareorg/111946255058894583
+
+```bash
+$ . env/bin/activate
+(env)$ r2 /bin/ls
+[0x00000000]> '$r2ai=#!pipe python main.py
+[0x00000000]> $r2ai '-m openai:gpt-4'
+[0x00000000]> $r2ai "' list the imports for this program"
+[0x00000000]> $r2ai "' draw me a donut"
+[0x00000000]> $r2ai "' decompile current function and explain it"
 ```
 
-then you can type the commands you want to run when the r2ai plugin is loaded:
+## Examples
 
-```console
-r2ai -e api=anthropic
-r2ai -e model=claude-sonnet-5-5
-r2ai -e max_tokens=64000
-```
+You can interact with r2ai from standalone python, from r2pipe via r2 keeping a global state or using the javascript interpreter embedded inside `radare2`.
 
-## Further Reading
+* [conversation.r2.js](examples/conversation.r2.js) - load two models and make them talk to each other
 
-* There's [a chapter](https://book.rada.re/plugins/r2ai.html) in the official r2book
-* Cryptax on [lmstudio+gptoss](https://cryptax.medium.com/r2ai-with-lmstudio-and-gpt-oss-08efa5ea2476) blog post
-* Malware analysis [with r2ai](https://arxiv.org/pdf/2504.07574) by Cryptax and Daniel Nakov
-* Analysis of [Linux/Trigona ransomware](https://cryptax.medium.com/linux-trigona-analysis-with-r2ai-3e2bd1815e52),  [Linux/Prometei botnet](https://cryptax.medium.com/reversing-a-prometei-botnet-binary-with-r2-and-ai-part-one-3cdb3dc6ffab) and [W32/SkyAI](https://cryptax.medium.com/w32-skyai-uses-ai-so-do-i-d33f04d63534with) with r2ai
+### Development/Testing
 
-## Videos
+Just run `make` .. or well `python3 main.py`
 
-- [Solving a crackme](https://infosec.exchange/@radareorg/111946255058894583)
-- [De-obfuscation of malware Linux/Ladvix](https://asciinema.org/a/724126)
-- [Analysis of the /fast option inside Linux/Trigona ransomware](https://asciinema.org/a/pBPEaJhp6cunWSKFpBUDTgPt4)
+### TODO
+
+* add "undo" command to drop the last message
+* dump / restore conversational states (see -L command)
+* Implement `~`, `|` and `>` and other r2shell features

VERSION

@@ -1 +0,0 @@
-1.5.4

autogen.sh

@@ -1,6 +0,0 @@
-#!/bin/sh
-vim decai/src/constants.ts
-make -C decai/src
-vim src/r2ai.h
-vim src/meson.build
-vim VERSION

decai/AGENTS.md

@@ -1,13 +0,0 @@
-# Decompiler based AI
-
-## Actions
-
-* Build: `make -C src`
-* Install: `make user-install`
-* Test: `r2 -A -qc "decai -e api=ollamacloud;decai -e model=glm-5;decai -d @ 0x100000924" /bin/ls`
-
-## Hints
-
-* Never read the minified, autogenerated `decai.r2.js`
-* Focus and work only on the TypeScript source
-* Never run `tsc` or `npx`. Always use `make` targets to compile

decai/Makefile

@@ -1,19 +1,11 @@
 PD=$(shell r2 -H R2_USER_PLUGINS)
 SPD=$(shell r2 -H R2_LIBR_PLUGINS)
-BF=/bin/dd
 
 all:
-	@echo "Run: 'make user-install' to install it in your home"
-	@echo "Run: 'make -C src' to recompile the r2.js"
-
-test:
-	r2 -i decai.r2.js -c 'decai -e deterministic=true' -caf $(BF)
-
-fmt indent:
-	$(MAKE) -C src fmt
+	@echo 'You can now use 'decai' command'
+	r2 -i decai.r2.js /usr/bin/sed
 
 user-install:
-	mkdir -p "$(PD)"
 	cp decai.r2.js $(PD)/decai.r2.js
 
 user-uninstall:
@@ -26,4 +18,4 @@ uninstall:
 	make user-uninstall PD=$(SPD)
 
 vs open:
-	open -a "Visual Studio Code" src
+	open -a "Visual Studio Code" .

decai/README.md

@@ -1,238 +0,0 @@
-# Decai
-
-The AI based Decompiler plugin for radare2
-
-- Written in plain Javascript
-- No dependencies than radare2 and curl in PATH
-- Uses local ollama by default, but also r2ai-server
-- Use services like Anthropic, OpenAI, HF, XAI, DeepSeek, ..
-
-Features
-
-- Auto mode with function calling with ANY model
-- Uses the r2 pseudo decompiler by default, supports any other
-- Explain purpose and auto-document functions
-- Recursive decompilation to inline stubs
-- Autoname functions and perform type propagation
-- Find vulnerabilities, guide you and write exploits
-- Choose any natural language (not just English)
-- Choose output programming language (not just C)
-- Chain queries to manually fine tune the results
-- Customize decompilation prompt at any time
-
-## Installation
-
-Using r2pm: `r2pm -ci decai`
-
-From source: `make user-install`
-
-## Setup
-
-```console
-[0x00000000]> decai
-Usage: decai (-h) ...
- decai -H         - help setting up r2ai
- decai -d [f1 ..] - decompile given functions
- decai -dr        - decompile function and its called ones (recursive)
- decai -dd [..]   - same as above, but ignoring cache
- decai -dD [query]- decompile current function with given extra query
- decai -e         - display and change eval config vars
- decai -E         - edit decai.txt
- decai -h         - show this help
- decai -i [f] [q] - include given file and query
- decai -n         - suggest better function name
- decai -q [text]  - query language model with given text
- decai -Q [text]  - query on top of the last output
- decai -r         - change role prompt (same as: decai -e prompt)
- decai -R         - reset role prompt to default prompt
- decai -s         - function signature
- decai -v         - show local variables
- decai -V         - find vulnerabilities
- decai -x         - eXplain current function
-```
-
-Configuration options:
-
-```console
-[0x00000000]> decai -e
-decai -e api=ollama
-decai -e apitype=chat
-decai -e host=http://localhost
-decai -e port=11434
-decai -e prompt=Rewrite this function and respond ONLY with code, NO explanations, NO markdown, Change 'goto' into if/else/for/while, Simplify as much as possible, use better variable names, take function arguments and strings from comments like 'string:'
-decai -e ctxfile=
-decai -e headers=
-decai -e cmds=pdc
-decai -e cache=false
-decai -e lang=C
-decai -e hlang=English
-decai -e debug=false
-decai -e model=
-decai -e maxinputtokens=-1
-```
-
-## Running decai
-
-Decai is used from `r2` (e.g `r2 ./mybinary`). Get help with `decai -h`:
-
-```
-[0x00406cac]> decai -h
-Usage: decai (-h) ...
- decai -H         - help setting up r2ai
- decai -a [query] - solve query with auto mode
- decai -d [f1 ..] - decompile given functions
- decai -dr        - decompile function and its called ones (recursive)
- decai -dd [..]   - same as above, but ignoring cache
- decai -dD [query]- decompile current function with given extra query
- ...
-```
-
-List configuration variables with `decai -e`:
-
-```
-[0x00406cac]> decai -e
-decai -e api=ollama
-decai -e host=http://localhost
-decai -e port=11434
-decai -e prompt=Rewrite this function and respond ONLY with code, NO explanations, NO markdown, Change 'goto' into if/else/for/while, Simplify as much as possible, use better variable names, take function arguments and strings from comments like 'string:'
-decai -e ctxfile=
-...
-```
-
-Persist user defaults in `~/.config/r2ai/decai.txt` with one `key=value` entry
-per line, then edit it with `decai -E`. That file is loaded on the first
-`decai` command in a session and reloaded after `decai -E` exits.
-
-Use `decai -e http=curl` to force system curl, `http=r2` to require `r2.http()`,
-or `http=auto` (the default) to use `r2.http()` when available and curl otherwise.
-Failed `r2.http()` calls return an error without falling back to curl. The
-`timeout` setting applies only to system curl. Save `http=curl` in
-`~/.config/r2ai/decai.txt` to persist the override.
-
-List possible APIs to discuss with AI: `decai -e api=?`:
-
-```
-[0x00406cac]> decai -e api=?
-r2ai
-claude
-openapi
-...
-```
-
-Extra headers can be injected globally with `decai -e headers=...` or from the
-environment with `DECAI_HEADERS` / `R2AI_HEADERS`. Use one header per line, for
-example:
-
-```console
-[0x00406cac]> decai -e headers=Authorization: Bearer sk-123\nUser-Agent: curl/8.7.1
-```
-
-### Example using a local model and ollama
-
-For example, if Ollama serves model codegeex4:latest (`ollama ls`), set decai
-API as `ollama` and model `codegeex4:latest`.
-
-```
-[0x00002d30]> decai -e api=ollama
-[0x00002d30]> decai -e model=codegeex4:latest
-[0x00002d30]> decai -q Explain what forkpty does in 2 lines
-The `forkpty` function creates a new process with a pseudo-terminal, allowing the parent to interact with the child via standard input/output/err and controlling its terminal.
-```
-
-## Examples
-
-See
-[https://github.com/radareorg/r2ai-examples](https://github.com/radareorg/r2ai-examples)
-
-```c
-$ cat stack-overflow/bug.c 
-
-#include <string.h>
-
-int main(int argc, char **argv) {
-	char buf[32];
-	strcpy (buf, argv[1]);
-	return 0;
-}
-```
-
-```c
-$ r2 buffer-overflow/a.out
-[0x100003f58]> decai -d
-int main(int argc, char **argv, char **envp) {
-    char buffer[32];
-    int result = 0;
-    
-    if (argc > 1 && argv[1] != NULL) {
-        strcpy(buffer, argv[1]);
-    }
-    
-    return result;
-}
-```
-
-### Example using a local Mistral model and r2ai-server
-
-For example, assuming we have a _local_ Mistral AI server running on port 8080
-with `r2ai-server`, we can decompile a given function with `decai -d`. The
-server shows it received the question:
-
-```
-GET
-CUSTOM
-RUNLINE: -R
-127.0.0.1 - - [13/Dec/2024 10:40:49] "GET /cmd/-R HTTP/1.1" 200 -
-GET
-CUSTOM
-RUNLINE: -i /tmp/.pdc.txt Rewrite this function and respond ONLY with code, NO explanations, NO markdown, Change goto into if/else/for/while, Simplify as much as possible, use better variable names, take function arguments and and strings from comments like string:. Transform this pseudocode into C
-```
-
-### Example using a Mistral API key
-
-Put the API key in `~/.r2ai.mistral-key`.
-
-````
-[0x000010d0]> decai -e api=mistral
-[0x000010d0]> decai -d main
-```c
-#include <stdio.h>
-#include <string.h>
-#include <stdlib.h>
-
-int main(int argc, char **argv, char **envp) {
-    char password[40];
-    char input[40];
-...
-````
-
-### Example with ChatGPT 4
-
-```
-[0x00406cac]> decai -e api=openai
-[0x00406cac]> decai -d
-#include <stdio.h>
-#include <unistd.h>
-
-void daemonize() {
-    daemon(1, 0);
-}
-...
-```
-
-## WASM HTTP
-
-With radare2's WASI HTTP build, decai defaults to `r2.http()` to reach the existing
-`r_socket_http_get/post` C APIs. Headers and JSON payloads go directly to the
-host HTTP adapter; no shell curl, temporary payload file or WebSocket proxy is
-needed. A failed/denied HTTP call is returned as an error, without a shell
-fallback. In `http=auto` mode, runtimes without `r2.http()` use system curl.
-
-Enable HTTP in the embedding application (`enabled: true` in JavaScript or
-`network=True` in Python). The radare2 sandbox must permit both `socket` and
-`network`; process execution is not needed. Browser requests remain subject
-to CORS. The host adapter controls the HTTP deadline in WASM; decai's `timeout`
-setting still controls native curl only. Responses are buffered, not streamed.
-
-This requires radareorg/radare2#27037 and the rebuilt decai script. For the
-C r2ai plugin compiled into WASM, the `auto` HTTP backend likewise selects
-radare2's C HTTP implementation; native backend selection is unchanged.

decai/decai.r2.js

@@ -1,171 +1,391 @@
-📦
-27680 /main.js
-✄
-var te="1.5.4",b="decai",w="~/.config/r2ai",N=w+"/apikeys.txt",U=w+"/decai.txt",T="Rewrite this pseudocode into concise and clean code. Output only the provided function. Do not add wrappers, helper examples, test code, or main-like functions. Replace goto with structured control flow, simplify as much as possible, infer types and use better names for variables and parameters, some strings may be appearing as comments, preserve only what is implied by the input, and remove dead code.",L={decai:`# Using Decai
+(function () {
+    const decaiHelp = `
+To use decai with commercial APIs run the following commands inside r2:
 
-Decai is the radare2 plugin for decompiling functions with the help of language models.
+* decai -e api=claude    # or api=openai
+* Write the keys in ~/.r2ai.openai-key or ~/.r2ai.anthropic-key
 
-By default uses a local ollama server, but can you can pick any other service by using 'decai -e api=?'.
+You need r2ai webserver to be running, to do this run 'r2ai -w' in a separate terminal.
 
-[0x00000000]> decai -e api=?
-r2ai deepseek anthropic claude gemini groq hf lmstudio mistral ollama ollamacloud openapi openai openrouter vllm xai zen
+  $ r2pm -ci r2ai
 
-## Using Ollama
+The best model for decompiling is ClaudeAI from Anthropic:
 
-* Visit https://ollama.com to install it.
-* Download the model of choice: 'ollama run llama3.3'
-* Configure decai to use the given model with: 'decai -e model=?'
+  $ r2pm -r r2ai
+  $ echo $CLAUDEAPIKEY > ~/.r2ai.anthropic
+  [r2ai:0x0000000]> -m anthropic:claude-3-5-sonnet-20240620
+  [r2ai:0x0000000]> -w
+  Webserver listening at port 8080
 
-These are the most recommended models for decompiling in local:
+If you want to run r2ai in local you should use granite, mistral, llama3, gemma or mistral
+PD: Granite woeks quite well
 
-* hhao/qwen2.5-coder-tools:latest (18GB of ram)
-* hhao/qwen2.5-coder-tools:32b (24GB of ram required)
+  [r2ai:0x0000000]> -m ibm-granite/granite-20b-code-instruct-8k-GGUF
+  [r2ai:0x0000000]> -m QuantFactory/granite-8b-code-instruct-4k-GGUF
+  [r2ai:0x0000000]> -m TheBloke/Mistral-7B-Instruct-v0.2-GGUF
+  [r2ai:0x0000000]> -w
 
-## Common Options
-* 'decai -e baseurl=<url>' override default host and port for API endpoint (e.g., 'http://localhost:11434')
-* 'decai -e apitype=chat|generate' choose the Ollama API endpoint (default: chat)
-* 'decai -e headers=Authorization: Bearer ...\\nUser-Agent: curl/8.7.1' add or override HTTP headers
-* "export DECAI_HEADERS='Authorization: Bearer ...\\nUser-Agent: curl/8.7.1'" set extra headers from the environment
-* 'decai -e http=auto|r2|curl' select the HTTP transport (default: auto, prefers r2.http)
-* 'decai -e timeout=0' disable curl timeouts, or set a positive number of seconds
+You can also make r2ai -w talk to an 'r2ai-server' using this line:
 
-* 'decai -e deterministic=true' to remove randomness from decompilation responses
-* 'decai -e lang=Python' to output the decompilation in Python instead of C
-* 'decai -e hlang=Catalan' to add comments or explanations in that language (instead of English)
-* 'decai -e cmds=pdd,pdg' use r2dec and r2ghidra instead of r2's pdc as input for decompiling
-* 'decai -e prompt=..' default prompt must be fine for most models and binaries, feel free to tweak it
+  [r2ai:0x0000000]> -m openapi:http://localhost:8080
+  [r2ai:0x0000000]> -e http.port=8082
 
-## API Keys
+  [0x0000000]> decai -e host=http://localhost:8082
+`;
+    const command = "decai";
+    let decaiHost = "http://localhost";
+    let decaiPort = "8080";
+    let decaiApi = "r2"; // uses /cmd endpoint
+    let decaiCommands = "pdc";
+    let decaiLanguage = "C";
+    let decaiDebug = false;
+    let decaiContextFile = "";
+    let lastOutput = "";
+    let decaiCache = false; // not implemented yet
+    let decprompt = "Only show the code with no explanation or introductions. Simplify the code: - take function arguments from comment - remove dead assignments - refactor goto with for/if/while - use better names for variables - simplify as much as possible";
+    // decprompt += ", comments in function calls may replace arguments and remove unnecessary early variable assignments that happen"
 
-Remove services like OpenAI, Mistral, Anthropic, Grok, Gemini, .. require API keys to work.
-
-See 'decai -k' to list the status of available APIkeys
-Use 'decai -K' to edit apikeys.txt and 'decai -E' to edit decai.txt.
-
-Decai will pick them from the environment or the config files in your home:
-
-* echo KEY > ~/.r2ai.openai-key
-* export OPENAI_API_KEY=...
-* put one 'key=value' pair per line in ~/.config/r2ai/decai.txt
-
-## Using the R2AI Server:
-
-Install r2ai or r2ai-server with r2pm:
-
-[0x0000000]> decai -e api=r2ai
-[0x0000000]> r2pm -ci r2ai
-
-Choose one of the recommended models (after r2pm -r r2ai):
-
-* -m ibm-granite/granite-20b-code-instruct-8k-GGUF
-* -m QuantFactory/granite-8b-code-instruct-4k-GGUF
-* -m TheBloke/Mistral-7B-Instruct-v0.2-GGUF
-
-Start the webserver:
-
-$ r2pm -r r2ai-server -l r2ai -m granite-8...
-`,auto:`# Radare2 Auto Mode
-
-Use function calling to execute radare2 commands in order to resolve the user request defined in the "User Prompt" section, analyze the responses attached in the "Command Results" section.
-
-## Function Calling
-
-Respond ONLY using plain JSON. Process user query and decide which function calls are necessary to solve the task.
-
-1. Analyze the user request to determine if we need to run commands to extend the knowledge and context of the problem.
-2. If function call is needed, construct the JSON like this:
- - Fill the "action" key with the "r2cmd" value.
- - Specify the "command" as a string.
- - Optionally, provide a "reason" and "description"
-3. If the answer can be provided and no more function calls are required:
- - Use the key "action": "reply".
- - Include "response" with the direct answer to the user query.
-
-Return the result as a JSON object.
-
-### Sample Function Calling Communication
-
-Command Results: already performed actions with their responses
-User Prompt: "Count how many functions we have here."
-Response:
-{
-    "action": "r2cmd",
-    "command": "aflc",
-    "description": "Count functions"
-    "reason": "Evaluate if the program is analyzed before running aaa"
-}
-
-## Rules
-
-Use radare2 to resolve user requests.
-
-* Explain each step in the "reason" field of the JSON.
-* Follow the initial analysis instructions.
-* Output only valid JSON as specified.
-* Decompile and inspect functions, starting from main.
-* Run only the needed commands to gather info.
-* Use "@ (address|symbol)" to seek temporarily.
-* Output should be a verbose markdown report.
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-`,d,`
-<(r2output>`),n.push(JSON.stringify({action:"response",command:l,description:a.description,response:d}))}else if(a.action==="reply"){console.log(`Done
-`,a.response);break}else{console.log(`Unknown response
-`,JSON.stringify(i));break}}catch(a){let s=i.indexOf('response": "');if(s!==-1){let l=i.slice(s+12).replace(/\\n/g,`
-`).replace(/\\/g,"");console.log(l)}else console.log(i),console.error(a);break}}}function ot(e,t){for(;;){let n=r2.cmd("'?ie Tweak command? ('?' for help)").trim();if(n==="q!"){console.error("Break!");break}if(n==="?"){it();continue}else if(n.startsWith(":")){console.log(r2.cmd(n.slice(1)));continue}else if(n.startsWith("-e")){t(n);continue}else{if(n==="!")return"?e do NOT execute '"+e+"' again, continue without it";if(n.startsWith("!")){console.log(r2.syscmd(n.slice(1)));continue}else{if(n==="q")return"?e All data collected!. Do not call more commands, reply the solutions";if(n){let o=n.indexOf("#");return o!==-1?n.slice(0,o).trim():n}else return e}}}return e}function it(){console.log(" '!'     do not run this command"),console.log(" '!c'    run system command"),console.log(" 'q'     to quit auto and try to solve"),console.log(" 'q!'    quit auto without solving"),console.log(" 'c # C' use given command with comment"),console.log(" ':c'    run r2 command without feeding auto"),console.log(" '-e'    set decai configuration variables")}function at(e){return e.slice(2).trim()}function B(){return r2.cmd("afi.").trim().length>0}var F="Cannot find function at current offset";function Ce(e,t){if(e===""||!e.startsWith("-")){Pe();return}let n="",o=e[1],i=at(e);switch(o){case"H":console.log(L.decai);break;case"a":rt(i,t);break;case"m":{i==="="?x("model="):i?x("model="+i):x("model");break}case"n":case"f":{if(!B()){n=F;break}n=r2.cmd("axff~$[3]");let a=r2.cmd("fd.").trim().split(/\n/).filter(s=>!s.startsWith("secti")).join(",");n=p("give me a better name for this function. the output must be: 'afn NEWNAME'. do not include the function code, only the afn line. consider: "+a,n,!1).trim(),n+=" @ "+r2.cmd("?v $FB").trim();break}case"v":{if(!B()){n=F;break}n=r2.cmd("afv;pdc"),n=p("guess a better name and type for each local variable and function argument taking using. output an r2 script using afvn and afvt commands",n,!1);break}case"i":{let a=i.split(/\s+/).filter(Boolean);if(a.length>=2){let s=a[0],l=a.slice(1).join(" "),u=r2.cmd("cat "+s);console.log(p(l,u,!0))}else console.log("Use: decai -i [file] [query ...]");break}case"p":{i?x("api="+i):Z();break}case"r":{i?r.prompt=i:console.log(r.prompt);break}case"R":r.prompt=T;break;case"s":if(!B()){n=F;break}n=nt();break;case"V":n=p("find vulnerabilities, dont show the code, only show the response, provide a sample exploit",r.lastOutput,!1);break;case"K":xe();break;case"E":Se();break;case"k":Z();break;case"b":{i?x("baseurl="+i):console.log(r.baseurl);break}case"e":{i?x(i):we();break}case"q":try{n=p(i,null,!0)}catch(a){let s=a;console.error(s,s.stack)}break;case"Q":n=p(i,r.lastOutput,!1);break;case"x":if(!B()){n=F;break}n=tt(),(e[2]==="*"||e[2]==="r")&&(n="'CC "+n);break;case"d":e[2]==="r"?n=j(e.slice(2),!0,r.cache,!0)||"":e[2]==="d"?n=j(e,!1,!1,!1)||"":e[2]==="D"?n=j(e,!0,!1,!1)||"":n=j(e,!1,r.cache,!1)||"";break;default:Pe();break}return n||void 0}function Ie(e){Oe();let t=Ce(e,Ie);return t&&r2.log(t),!0}function st(){r2.unload("core",b),r2.plugin("core",function(){function e(t){if(t.startsWith(b)){let n=t.slice(b.length).trim();return Ie(n)}return!1}return{name:b,license:"MIT",desc:"r2 decompiler based on r2ai",call:e}})}st();
+    function decaiEval(arg) {
+        const [k, v] = arg.split("=");
+        if (!v) {
+            switch (k) {
+            case "debug":
+                console.log(decaiDebug);
+                break;
+            case "api":
+                console.log(decaiApi);
+                break;
+            case "lang":
+                console.log(decaiLanguage);
+                break;
+            case "cache":
+                console.log(decaiCache);
+                break;
+            case "cmds":
+                console.log(decaiCommands);
+                break;
+            case "prompt":
+                console.log(decprompt);
+                break;
+            case "ctxfile":
+                console.log(decaiContextFile);
+                break;
+            case "host":
+                console.log(decaiHost);
+                break;
+            case "port":
+                console.log(decaiPort);
+                break;
+            default:
+                console.error("Unknown key");
+                break;
+            }
+            return;
+        }
+        switch (k) {
+        case "debug":
+            decaiDebug = (v === "true" || v === "1");
+            break;
+        case "api":
+            if (v === "?") {
+                console.error("r2ai\nclaude\nopenapi\nopenai");
+            } else {
+                decaiApi = v;
+            }
+            break;
+        case "cache":
+            decaiCache = v;
+            break;
+        case "ctxfile":
+            decaiContextFile = v;
+            break;
+        case "lang":
+            decaiLanguage = v;
+            break;
+        case "cmds":
+            decaiCommands = v;
+            break;
+        case "prompt":
+            decprompt = v;
+            break;
+        case "host":
+            decaiHost = v;
+            break;
+        case "port":
+            decaiPort = v;
+            break;
+        default:
+            console.error("Unknown key");
+            break;
+        }
+    }
+    function usage() {
+        console.error("Usage: " + command + " (-h) ...");
+        console.error(" " + command + " -H        - help setting up r2ai");
+        console.error(" " + command + " -d        - decompile current function");
+        console.error(" " + command + " -e        - display and change eval config vars");
+        console.error(" " + command + " -h        - show this help");
+        console.error(" " + command + " -n        - suggest better function name");
+        console.error(" " + command + " -q [text] - query language model with given text");
+        console.error(" " + command + " -Q [text] - query on top of the last output");
+        console.error(" " + command + " -r        - change role prompt (same as: decai -e prompt)");
+        console.error(" " + command + " -v        - show local variables");
+        console.error(" " + command + " -V        - find vulnerabilities");
+        console.error(" " + command + " -x        - eXplain current function");
+    }
+    function r2aiAnthropic(msg) {
+       const claudeKey = r2.cmd("'cat ~/.r2ai.anthropic-key").trim()
+       const claudeModel = "claude-3-5-sonnet-20240620";
+       if (claudeKey === '') {
+           return "Cannot read ~/.r2ai.anthropic-key";
+       }
+       const payload = JSON.stringify({
+           model: claudeModel,
+           max_tokens: 5128,
+           messages: [
+               {
+                   "role": "user",
+                   "content": decprompt + ", Explain this pseudocode in " + decaiLanguage + "\n" + msg
+               }
+           ]
+       });
+       const curlcmd = `curl -s https://api.anthropic.com/v1/messages
+          -H "Content-Type: application/json"
+          -H "anthropic-version: 2023-06-01"
+          -H "x-api-key: ${claudeKey}"
+          -d '${payload}'`.replace(/\n/g, "");
+        if (decaiDebug) {
+            console.log(curlcmd);
+        }
+        const res = r2.syscmds(curlcmd);
+        try {
+            return JSON.parse(res).content[0].text;
+        } catch(e) {
+            console.error("ERROR");
+            console.error(e);
+            console.log("RES((" + res + "))");
+        }
+        return "error invalid response";
+    }
+    function r2aiOpenAI(msg) {
+       const openaiKey = r2.cmd("'cat ~/.r2ai.openai-key").trim()
+       // const openaiModel = "gpt-3.5-turbo";
+       const openaiModel = "gpt-4";
+       if (openaiKey === '') {
+           return "Cannot read ~/.r2ai.openai-key";
+       }
+       const payload = JSON.stringify({
+           model: openaiModel,
+           max_tokens: 5128,
+           messages: [
+               {"role": "system", "content": decprompt }, {
+                   "role": "user",
+                   "content": decprompt + ", Explain this pseudocode in " + decaiLanguage + "\n" + msg
+               }
+           ]
+       });
+       const curlcmd = `curl -s https://api.openai.com/v1/chat/completions
+          -H "Content-Type: application/json"
+          -H "Authorization: Bearer ${openaiKey}"
+          -d '${payload}' #`.replace(/\n/g, "");
+        if (decaiDebug) {
+            console.log(curlcmd);
+        }
+        const res = r2.syscmds(curlcmd);
+        try {
+            return JSON.parse(res).choices[0].message.content;
+        } catch(e) {
+            console.error(e);
+            console.log(res);
+        }
+        return "error invalid response";
+    }
+    function r2aiOpenAPI(msg) {
+        const payload = JSON.stringify({ "prompt": decprompt + ", Explain this pseudocode in " + decaiLanguage + "\n" + msg });
+        const curlcmd = `curl -s ${decaiHost}:${decaiPort}/completion
+          -H "Content-Type: application/json"
+          -d '${payload}' #`.replace(/\n/g, "");
+        if (decaiDebug) {
+            console.log(curlcmd);
+        }
+        const res = r2.syscmds(curlcmd);
+        try {
+            return JSON.parse(res).content;
+        } catch(e) {
+            console.error(e);
+            console.log(res);
+        }
+        return "error invalid response";
+    }
+    function fileDump(fileName, fileData) {
+        const d = b64(fileData);
+        r2.cmd("p6ds " + d + " > " + fileName);
+    }
+    function r2ai(queryText, fileData) {
+        if (!fileData) {
+            fileData = "";
+        }
+        fileData = fileData.replace(/\`/g, '').replace(/'/g, '"');
+        queryText = queryText.replace(/'/g, '');
+        if (decaiApi === "r2" || decaiApi === "r2ai") {
+            const fileName = "/tmp/.pdc.txt";
+            fileDump(fileName, fileData);
+            const q = queryText.startsWith("-")? queryText: ["-i", fileName, queryText].join(" ");
+            const host = decaiHost + ":" + decaiPort + "/cmd"; // "http://localhost:8080/cmd";
+            const ss = q.replace(/ /g, "%20").replace(/'/g, "\\'");
+            const cmd = 'curl -s "' + host + '/' + ss + '" || echo Cannot curl, use r2ai-server or r2ai -w #';
+            if (decaiDebug) {
+                console.error(cmd);
+            }
+            return r2.syscmds(cmd);
+        }
+        if (fileData === "" || queryText.startsWith("-")) { // -i
+            return "";
+        }
+        const q = queryText + fileData;
+        if (decaiApi === "anthropic" || decaiApi === "claude") {
+            return r2aiAnthropic(q);
+        }
+        if (decaiApi === "openapi") {
+            return r2aiOpenAPI(q);
+        }
+        if (decaiApi === "openai") {
+            return r2aiOpenAI(q);
+        }
+        return "Unknown value for 'decai -e api'. Use r2ai, claude, openapi or openai";
+    }
+    function r2aidec(args) {
+        if (args === "") {
+            usage();
+        } else if (args[0] === "-") {
+            var out = "";
+            switch (args[1]) {
+            case "H": // "-H"
+                console.log(decaiHelp);
+                break;
+            case "n": // "-n"
+            case "f": // "-f"
+                out = r2.cmd("pdc");
+                var considerations = r2.cmd("fd.").trim().split(/\n/).filter(x=>!x.startsWith("secti")).join(",");
+                // console.log(considerations);
+                r2ai("-R");
+                out = r2ai("give me a better name for this function. the output must be: 'afn NEWNAME'. do not include the function code, only the afn line. consider: " + considerations, out).trim();
+		out += " @ " + r2.cmd("?v $FB").trim();
+                break;
+            case "v": // "-v"
+                out = r2.cmd("afv;pdc");
+                r2ai("-R");
+                out = r2ai("guess a better name and type for each local variable and function argument taking using. output an r2 script using afvn and afvt commands", out);
+                break;
+            case "r": // "-r"
+                args = args.slice(2).trim();
+                if (args) {
+                    decprompt = args
+                } else {
+                    console.log(decprompt);
+                }
+                break;
+            case "V": // "-V"
+                r2aidec("-d find vulnerabilities, dont show the code, only show the response");
+                break;
+            case "e": // "-e"
+                args = args.slice(2).trim();
+                if (args) {
+                    decaiEval(args);
+                } else {
+                    console.log("decai -e api=" + decaiApi);
+                    console.log("decai -e host=" + decaiHost);
+                    console.log("decai -e port=" + decaiPort);
+                    console.log("decai -e prompt=" + decprompt);
+                    console.log("decai -e ctxfile=" + decaiContextFile);
+                    console.log("decai -e cmds=" + decaiCommands);
+                    console.log("decai -e cache=" + decaiCache);
+                    console.log("decai -e lang=" + decaiLanguage);
+                    console.log("decai -e debug=" + decaiDebug);
+                }
+                break;
+            case "q": // "-q"
+                out = r2ai(args.slice(2).trim());
+                break;
+            case "Q": // "-Q"
+                out = r2ai(args.slice(2).trim(), lastOutput);
+                break;
+            case "x": // "-x"
+                out = r2.cmd("pdsf@e:scr.color=0");
+                r2ai("-R");
+                out = r2ai("Explain whats this function doing in one sentence.", out)
+                break;
+            case "d": // "-d"
+                try {
+                    args = args.slice(2).trim();
+                    const file = "/tmp/.pdc.txt";
+                    r2.call("rm .pdc.txt");
+                    r2.call("rm " + file);
+                    r2.cmd("echo > " + file);
+                    let count = 0;
+                    let text = "";
+		    if (decaiContextFile !== "") {
+                        if (r2.cmd2("test -f " + decaiContextFile).value === 0) {
+			    text += "Context:\n";
+                            text += "[RULES]\n";
+                            text += r2.cmd("cat " + decaiContextFile);
+                            text += "[/RULES]\n";
+                        }
+		    }
+                    const origColor = r2.cmd("e scr.color");
+                    r2.cmd("e scr.color=0");
+                    for (const c of decaiCommands.split(",")) {
+                        if (c.trim() === "") {
+                            continue;
+                        }
+                        const output = r2.cmd(c);
+                        if (output.length > 5) {
+                            text += "Output from " + c + ":\n";
+                            text += "[BEGIN]\n";
+                            text += output + "\n";
+                            text += "[END]\n";
+                            count++;
+                        }
+                    }
+                    r2.cmd("e scr.color=" + origColor);
+                    if (count === 0) {
+                        console.error("Nothing to do.");
+                        break;
+                    }
+                    r2ai("-R");
+                    const query = (decprompt + " " + args).trim() + ". Explain this pseudocode in " + decaiLanguage;
+                    out = r2ai(query, text);
+                    lastOutput = out;
+                } catch (e) {
+                    console.error(e);
+                }
+                break;
+            default:
+                usage();
+                break;
+            }
+	    if (out) {
+                r2.log(out);
+	    }
+        } else {
+            usage();
+        }
+        return true;
+    }
+    r2.unload("core", command);
+    r2.plugin("core", function () {
+        function coreCall(cmd) {
+            if (cmd.startsWith(command)) {
+                var args = cmd.slice(command.length).trim();
+                return r2aidec(args);
+            }
+            return false;
+        }
+        return {
+            "name": command,
+            "license": "MIT",
+            "desc": "r2 decompiler based on r2ai",
+            "call": coreCall,
+        };
+    });
+})();

decai/dist/debian/CONFIG

@@ -1,13 +0,0 @@
-PACKAGE=decai
-DEPENDS=radare2
-SECTION=user/shell
-PRIORITY=optional
-MAINTAINER=pancake <[email protected]>
-VERSION=$(shell git tag | tail -n 1)
-# arch
-UNAMEM=$(shell uname -m)
-ifeq ($(UNAMEM),x86_64)
-ARCH=amd64
-else
-ARCH=arm64
-endif

decai/dist/debian/DESCR

@@ -1,2 +0,0 @@
-AI based decompiler plugin for radare2
-r2js plugin for radare2 that provides several features for reverse engineers, from autonaming functions, improve decompiling outputs, find bugs or explain functions to automated crackme solving using local and remote models if API keys are provided..

decai/dist/debian/Makefile

@@ -1,34 +0,0 @@
-include ./CONFIG
-
-UNAME=$(shell uname)
-SUDO?=sudo
-DEPENDS=
-CROSSARCH=x64
-R2CFG_FLAGS?=
-PWD=$(shell pwd)
-PACKAGE_DIR?=${PWD}
-
-R2_VERSION=$(shell r2 -qv)
-
-DOCKCROSS=$(PWD)/../dockcross
-R2PLUGDIR=/usr/lib/radare2/$(R2_VERSION)
-
-all: root
-	$(SUDO) rm -rf control data
-	$(MAKE) clean
-	mkdir -p data
-	cp -rf root/* data
-	$(MAKE) control
-	$(MAKE) deb
-
-root:
-	mkdir -p root/$(R2PLUGDIR)
-	cp -f ../../decai.r2.js root/$(R2PLUGDIR)
-
-purge: clean
-	rm -rf root
-
-summary:
-	echo $(VERSION)
-
-include deb.mk

decai/dist/debian/deb.mk

@@ -1,130 +0,0 @@
-# Create .deb without using dpkg tools.
-#
-# Author: Tim Wegener <[email protected]>
-#
-# Use 'include deb_hand.mak' after defining the user variables in a local
-# makefile.
-#
-# The 'data' rule must be customised in the local make file.
-# This rule should make a 'data' directory containing the full file
-# layout of the installed package.
-#
-# This makefile will create a debian-binary file a control directory and a
-# a build directory in the current directory.
-# Do 'make clobber' to remove these generated files.
-#
-# Destination:
-# PACKAGE_DIR - directory where package (and support files) will be built
-#               defaults to the current directory
-#
-# Sources:
-# SOURCE_DIR - directory containing files to be packaged
-# ICON_SOURCE - 26x26 icon file for maemo
-# DESCR - description with summary on first line
-# preinst, postinst, prerm, postrm - optional control shell scripts
-
-# These fields are used to build the control file:
-# PACKAGE = 
-# VERSION = 
-# ARCH = 
-# SECTION = 
-# PRIORITY = 
-# MAINTAINER = 
-# DEPENDS = 
-#
-# SOURCE_DIR =
-# ICON_SOURCE = 
-# (ICON_SOURCE is optional)
-
-# *** NO USER CHANGES REQUIRED BEYOND THIS POINT ***
-ifeq ($(shell uname),Darwin)
-MD5SUM=md5
-else
-MD5SUM=md5sum
-endif
-
-GAWK=awk
-PACKAGE_DIR=$(shell pwd)
-CONTROL_EXTRAS ?= ${wildcard preinst postinst prerm postrm}
-
-${PACKAGE_DIR}/control: ${PACKAGE_DIR}/data ${CONTROL_EXTRAS} DESCR \
-			${ICON_SOURCE}
-	#rm -rf $@
-	mkdir -p $@
-ifneq (${CONTROL_EXTRAS},)
-	cp ${CONTROL_EXTRAS} $@
-endif
-#       Make control file.
-	echo "Package: ${PACKAGE}" > $@/control
-	echo "Version: ${VERSION}" >> $@/control
-	echo "Section: ${SECTION}" >> $@/control
-	echo "Priority: ${PRIORITY}" >> $@/control
-	echo "Architecture: ${ARCH}" >> $@/control
-ifneq (${DEPENDS},)
-	echo "Depends: ${DEPENDS}" >> $@/control
-endif
-	echo "Installed-Size: ${shell du -s ${PACKAGE_DIR}/data|cut -f1}" \
-		>> $@/control
-	echo "Maintainer: ${MAINTAINER}" >> $@/control
-	printf "Description:" >> $@/control
-	cat DESCR | ${GAWK} '{print " "$$0;}' >> $@/control
-#ifneq (${ICON_SOURCE},)
-#	echo "Maemo-Icon-26:" >> $@/control
-#	base64 ${ICON_SOURCE} | ${GAWK} '{print " "$$0;}' >> $@/control
-#endif
-#       Make md5sums.
-	cd ${PACKAGE_DIR}/data && find . -type f -exec ${MD5SUM} {} \; \
-		| sed -e 's| \./||' \
-		> $@/md5sums
-
-${PACKAGE_DIR}/debian-binary:
-	echo "2.0" > $@
-
-${PACKAGE_DIR}/clean:
-	rm -rf ${PACKAGE_DIR}/data ${PACKAGE_DIR}/control ${PACKAGE_DIR}/build *.deb
-
-${PACKAGE_DIR}/build: ${PACKAGE_DIR}/debian-binary ${PACKAGE_DIR}/control \
-			${PACKAGE_DIR}/data
-	rm -rf $@
-	mkdir $@
-	cp ${PACKAGE_DIR}/debian-binary $@/
-	cd ${PACKAGE_DIR}/control && tar czvf $@/control.tar.gz *
-	cd ${PACKAGE_DIR}/data && \
-		COPY_EXTENDED_ATTRIBUTES_DISABLE=true \
-		COPYFILE_DISABLE=true \
-		tar cpzvf $@/data.tar.gz *
-
-# Convert GNU ar to BSD ar that debian requires.
-# Note: Order of files within ar archive is important!
-${PACKAGE_DIR}/${PACKAGE}_${VERSION}_${ARCH}.deb: ${PACKAGE_DIR}/build
-	ar -rc $@ $</debian-binary $</control.tar.gz $</data.tar.gz
-	#sed -e 's|^\([^/]\+\)/ \(.*\)|\1  \2|g' $@tmp > $@fail
-	#rm -f $@tmp
-	#mv $@fail $@
-
-.PHONY: data
-data: ${PACKAGE_DIR}/data
-
-.PHONY: control
-control: ${PACKAGE_DIR}/control
-
-.PHONY: build
-build: ${PACKAGE_DIR}/build
-
-.PHONY: clean
-clean: ${PACKAGE_DIR}/clean $(EXTRA_CLEAN)
-	rm -f debian-binary
-
-.PHONY: deb
-deb: ${PACKAGE_DIR}/${PACKAGE}_${VERSION}_${ARCH}.deb
-
-
-clobber::
-	rm -rf ${PACKAGE_DIR}/debian_binary ${PACKAGE_DIR}/control \
-		${PACKAGE_DIR}/data ${PACKAGE_DIR}/build
-
-push:
-	scp *.deb radare.org:/srv/http/radareorg/cydia/debs
-
-mrproper: clean
-	rm -rf root

decai/pipeline.json

@@ -1,37 +0,0 @@
-{
-  "use": true,
-  "default": "pipeTest",
-  "_default": "asciiStack",
-  "asciiStack": {
-    "globalQuery": "output in C, respond only with code, no explanations, no markdown",
-    "pipeline": [
-      {
-        "model": "qwen2.5-coder:latest",
-        "query": "stack frame layout for this function, output a table in ascii art"
-      }
-    ]
-  },
-  "pipeTest": {
-    "globalQuery": "output in C, respond only with code, no explanations, no markdown",
-    "pipeline": [
-      {
-        "model": "qwen2.5-coder:latest",
-        "query": "resolve stack variables and arrays size without using malloc"
-      },
-      {
-        "model": "qwen2.5-coder:14b",
-        "query": "remove boilerplate and unnecessary code, replace goto with if/else blocks"
-      }
-    ],
-    "commentedOut": [
-      {
-        "model": "qwen2.5-coder:14b",
-        "query": "use better types and names for variable and arguments"
-      },
-      {
-        "model": "qwen2.5-coder:14b",
-        "query": "inline all the functions into a single one and make the code more readable"
-      }
-    ]
-  }
-}

decai/r2plugin/README.md

@@ -1,36 +0,0 @@
-# decai r2plugin
-
-Boilerplate to embed `decai.r2.js` inside the radare2 core library using the
-external plugin system (XPS). Unlike `r2ai/r2plugin`, this does not link any
-native code: the r2.js script is converted into a C buffer and registered as
-an embedded startup script, so r2 runs it at startup exactly like a file in
-the `plugins/*.r2.js` directory (honoring `cfg.plugins`).
-
-The `decai.r2.js` bundle is built from the typescript sources with
-`r2frida-compile` (see `make -C src` in the decai directory). The C buffer is
-generated at build time with `rax2 -C` (make builds) or `js2c.py` (meson).
-
-## Usage
-
-decai lives inside the r2ai repository, so expose it as `libr/xps/p/decai`:
-
-```console
-cd radare2/libr/xps/p
-git clone https://github.com/radareorg/r2ai
-ln -s r2ai/decai decai
-```
-
-For acr/make builds:
-
-```console
-cd radare2
-make -C libr/xps EXTERNAL_PLUGINS=decai
-./configure-plugins
-make
-```
-
-For meson builds, make `libr/xps/p/meson.build` contain:
-
-```meson
-subdir('decai/r2plugin')
-```

decai/r2plugin/core/decai.r2.js.d

@@ -1,2 +0,0 @@
-/Users/pancake/prg/radare2/libr/xps/p/decai/r2plugin/core/decai.r2.js.o: \
-  /Users/pancake/prg/radare2/libr/xps/p/decai/r2plugin/core/decai.r2.js.c

decai/r2plugin/core/deps.h

@@ -1,3 +0,0 @@
-#ifdef R2_CORE_H
-extern RCorePlugin r_core_plugin_decai;
-#endif

decai/r2plugin/core/deps.mk

@@ -1,10 +0,0 @@
-DECAI_CORE_WD=$(LIBR)/xps/p/decai
-DECAI_CORE_OBJ= \
-	$(DECAI_CORE_WD)/r2plugin/core/plugin.o \
-	$(DECAI_CORE_WD)/r2plugin/core/decai.r2.js.o
-EXTERNAL_STATIC_OBJS+=$(DECAI_CORE_OBJ)
-
-# decai.r2.js can be rebuilt from typescript with r2frida-compile (make -C src)
-$(DECAI_CORE_WD)/r2plugin/core/decai.r2.js.c: $(DECAI_CORE_WD)/decai.r2.js
-	rax2 -C < $(DECAI_CORE_WD)/decai.r2.js | \
-		sed -e 's,^unsigned,const unsigned,' -e 's,buf,decai_qjs,g' > $@

decai/r2plugin/core/plugin.c

@@ -1,35 +0,0 @@
-/* decai - LGPL - Copyright 2026 - pancake */
-
-#include <r_core.h>
-
-// generated from ../decai.r2.js, see ../deps.mk
-extern const unsigned char decai_qjs[];
-extern const unsigned int decai_qjs_len;
-
-static bool decai_init(RCorePluginSession *cps) {
-	r_core_script_embed (cps->core, "decai", "qjs", (const char *)decai_qjs, (int)decai_qjs_len);
-	return true;
-}
-
-static bool decai_call(RCorePluginSession *cps, const char *input) {
-	return false;
-}
-
-RCorePlugin r_core_plugin_decai = {
-	.meta = {
-		.name = "decai",
-		.desc = "AI decompiler (embedded decai.r2.js)",
-		.author = "pancake",
-		.license = "MIT",
-	},
-	.init = decai_init,
-	.call = decai_call,
-};
-
-#ifndef R2_PLUGIN_INCORE
-R_API RLibStruct radare_plugin = {
-	.type = R_LIB_TYPE_CORE,
-	.data = &r_core_plugin_decai,
-	.version = R2_VERSION,
-};
-#endif

decai/r2plugin/core/plugin.d

@@ -1,372 +0,0 @@
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-  /Users/pancake/prg/radare2/libr/xps/p/decai/r2plugin/core/plugin.c \
-  /Users/pancake/prg/radare2/libr/include/r_core.h \
-  /Users/pancake/prg/radare2/libr/include/r_main.h \
-  /Users/pancake/prg/radare2/libr/include/r_types.h \
-  /Users/pancake/prg/radare2/libr/include/r_types_base.h \
-  /Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX.sdk/usr/include/ctype.h \
-  /Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX.sdk/usr/include/_ctype.h \
-  /Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX.sdk/usr/include/sys/cdefs.h \
-  /Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX.sdk/usr/include/sys/_symbol_aliasing.h \
-  /Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX.sdk/usr/include/sys/_posix_availability.h \
-  /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/lib/clang/21/include/ptrcheck.h \
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-  /Users/pancake/prg/radare2/libr/include/r_egg.h \
-  /Users/pancake/prg/radare2/libr/include/r_asm.h \
-  /Users/pancake/prg/radare2/libr/include/r_arch.h \
-  /Users/pancake/prg/radare2/libr/include/r_bin.h \
-  /Users/pancake/prg/radare2/libr/include/r_muta.h \
-  /Users/pancake/prg/radare2/libr/include/r_hash.h \
-  /Users/pancake/prg/radare2/libr/include/r_muta/r_sm4.h \
-  /Users/pancake/prg/radare2/libr/include/r_bin_dwarf.h \
-  /Users/pancake/prg/radare2/libr/include/r_reg.h \
-  /Users/pancake/prg/radare2/libr/include/r_anal/op.h \
-  /Users/pancake/prg/radare2/libr/include/r_anal/hint.h \
-  /Users/pancake/prg/radare2/libr/include/r_esil.h \
-  /Users/pancake/prg/radare2/libr/include/sdb/ht_uu.h \
-  /Users/pancake/prg/radare2/libr/include/r_anal.h \
-  /Users/pancake/prg/radare2/libr/include/r_util/r_print.h \
-  /Users/pancake/prg/radare2/libr/include/r_search.h \
-  /Users/pancake/prg/radare2/libr/include/r_syscall.h \
-  /Users/pancake/prg/radare2/libr/include/r_flag.h \
-  /Users/pancake/prg/radare2/libr/include/r_codemeta.h \
-  /Users/pancake/prg/radare2/libr/include/sdb/set.h \
-  /Users/pancake/prg/radare2/libr/include/r_lang.h \
-  /Users/pancake/prg/radare2/libr/include/r_cmd.h \
-  /Users/pancake/prg/radare2/libr/include/r_sign.h \
-  /Users/pancake/prg/radare2/libr/include/r_debug.h \
-  /Users/pancake/prg/radare2/libr/include/r_bp.h \
-  /Users/pancake/prg/radare2/libr/include/rvc.h \
-  /Users/pancake/prg/radare2/libr/include/r_core_priv.h \
-  /Users/pancake/prg/radare2/libr/include/r_core_task.h

decai/r2plugin/deps.mk

@@ -1 +0,0 @@
-include p/decai/r2plugin/core/deps.mk

decai/r2plugin/js2c.py

@@ -1,11 +0,0 @@
-#!/usr/bin/env python3
-"""Convert a script file into a C buffer named decai_qjs (same output as `rax2 -C` + sed)."""
-
-import sys
-
-data = open(sys.argv[1], "rb").read()
-with open(sys.argv[2], "w") as f:
-    f.write("const unsigned char decai_qjs[] = {\n")
-    for i in range(0, len(data), 16):
-        f.write("  %s,\n" % ", ".join("0x%02x" % b for b in data[i:i + 16]))
-    f.write("};\nconst unsigned int decai_qjs_len = %d;\n" % len(data))

decai/r2plugin/meson.build

@@ -1,16 +0,0 @@
-# decai XPS integration for radare2.
-# Included from libr/xps/meson.build when decai lives under libr/xps/p/decai/.
-# Unlike native plugins, decai ships no native code: decai.r2.js is embedded
-# as a buffer in libr_core and the tiny core plugin registers it with
-# r_core_script_embed() so r2 runs it at startup like any plugins/*.r2.js file.
-
-core_plugins += ['decai']
-
-decai_py3 = import('python').find_installation()
-
-r_core_additional_sources += files('core/plugin.c')
-r_core_additional_sources += custom_target('decai_r2_js_c',
-  input: '../decai.r2.js',
-  output: 'decai.r2.js.c',
-  command: [decai_py3, files('js2c.py'), '@INPUT@', '@OUTPUT@'],
-)

decai/r2plugin/static.cfg

@@ -1 +0,0 @@
-core.decai

decai/src/Makefile

@@ -1,19 +0,0 @@
-PLUGIN_NAME=decai
-R2F_C_FLAGS=-c -S
-R2FRIDA_COMPILE?=r2pm -r r2frida-compile
-
-all: build
-
-build:
-	$(R2FRIDA_COMPILE) $(R2F_C_FLAGS) -o ../$(PLUGIN_NAME).r2.js main.ts
-
-test: build
-	r2 -i ../$(PLUGIN_NAME).r2.js -q -c 'af;decai -d' /bin/ls
-
-fmt:
-	deno fmt
-
-clean:
-	rm -rf out node_modules ../$(PLUGIN_NAME).r2.js
-
-.PHONY: all build test clean

decai/src/apiKeys.ts

@@ -1,53 +0,0 @@
-import { API_KEYS_PATH, DECAI_CONFIG_DIR } from "./constants";
-import { providerRegistry } from "./providers";
-import { ApiKeyResult } from "./types";
-import { ensurePath, fileExists, parseEnvLikeString } from "./utils";
-
-function getProviderEnvMap(): Record<string, string> {
-  return Object.fromEntries(
-    Object.entries(providerRegistry)
-      .filter(([, v]) => v.authKey)
-      .map(([k, v]) => [k, v.authKey!]),
-  );
-}
-
-export function getApiKey(provider: string, envvar: string): ApiKeyResult {
-  const keyEnv = r2.cmd("'%" + envvar).trim();
-  if (!keyEnv.includes("=") && keyEnv !== "") {
-    return [keyEnv.trim(), null, "env"];
-  }
-
-  const providerLower = provider.toLowerCase();
-  const keysPath = API_KEYS_PATH;
-
-  if (fileExists(keysPath)) {
-    const keyFile = r2.cmd("'cat " + keysPath);
-    const kv = parseEnvLikeString(keyFile);
-    if (providerLower in kv) {
-      return [kv[providerLower], null, "txt"];
-    }
-  }
-
-  const keyPath = "~/.r2ai." + providerLower + "-key";
-  if (fileExists(keyPath)) {
-    const keyFile = r2.cmd("'cat " + keyPath);
-    return keyFile === ""
-      ? [null, "Cannot read " + keyPath, "no"]
-      : [keyFile.trim(), null, "file"];
-  }
-
-  return [null, "Not available", "nope"];
-}
-
-export function editApiKeys(): void {
-  ensurePath(DECAI_CONFIG_DIR, API_KEYS_PATH);
-  r2.cmd("'ed " + API_KEYS_PATH);
-}
-
-export function listApiKeys(): void {
-  Object.entries(getProviderEnvMap()).forEach(([key, env]) => {
-    const status = getApiKey(key, env)[2];
-    console.log(status, "\t", key);
-  });
-}
-

decai/src/commands.ts

@@ -1,568 +0,0 @@
-import { AutoReply } from "./types";
-import { state } from "./state";
-import { COMMAND, DEFAULT_PROMPT, HELP_TEXT, VERSION } from "./constants";
-import {
-  b64,
-  filterResponse,
-  trimAnsi,
-  trimDown,
-  trimJson,
-} from "./utils";
-import { editApiKeys, listApiKeys } from "./apiKeys";
-import { editRcConfig, evalConfig, listAllConfig } from "./config";
-import { r2ai } from "./r2ai";
-
-function withColorDisabled<T>(fn: () => T): T {
-  const origColor = r2.cmd("e scr.color");
-  r2.cmd("e scr.color=0");
-  try {
-    return fn();
-  } finally {
-    r2.cmd("e scr.color=" + origColor);
-  }
-}
-
-export function showHelp(): void {
-  let helpmsg = "";
-  const msg = (m: string) => (helpmsg += " " + COMMAND + " " + m + "\n");
-
-  helpmsg += "Usage: " + COMMAND + " (-h) ...\n";
-  helpmsg += "Version: " + VERSION + "\n";
-  msg("-a [query]    - solve query with auto mode");
-  msg("-b [url]      - set base URL (alias for decai -e baseurl)");
-  msg("-d [f1 ..]    - decompile given functions");
-  msg("-dd [..]      - same as above, but ignoring cache");
-  msg("-dD [query]   - decompile current function with given extra query");
-  msg("-dr           - decompile function and its called ones (recursive)");
-  msg("-e            - display and change eval config vars");
-  msg("-E            - edit and run decai.txt");
-  msg("-h            - show this help");
-  msg("-H            - help setting up r2ai");
-  msg("-i [f] [q]    - include given file and query");
-  msg("-k            - list API key status");
-  msg("-K            - edit apikeys.txt");
-  msg("-m [model]    - use -m? or -e model=? to list the available models");
-  msg("-n            - suggest better function name");
-  msg("-p [provider] - same as decai -e api (will be provider)");
-  msg("-q [text]     - query language model with given text");
-  msg("-Q [text]     - query on top of the last output");
-  msg("-r [prompt]   - change role prompt (same as: decai -e prompt)");
-  msg("-R            - reset role prompt to default prompt");
-  msg("-s            - function signature");
-  msg("-v            - show local variables");
-  msg("-V            - find vulnerabilities");
-  msg("-x[*]         - eXplain current function (-x* for r2 script)");
-
-  r2.log(helpmsg.trim());
-}
-
-export function decompile(
-  args: string,
-  extraQuery: boolean,
-  useCache: boolean,
-  recursiveCalls: boolean,
-): string | undefined {
-  if (useCache) {
-    const cachedAnnotation = r2.cmd("anos").trim();
-    if (cachedAnnotation.length > 0) {
-      return cachedAnnotation;
-    }
-  }
-
-  let context = "";
-  if (recursiveCalls) {
-    const at = r2.cmd("s");
-    context += "## Context functions:\n";
-    const funcs = r2.cmdAt("axff~^C[2]~$$", at);
-    for (const addr of funcs.split(/\n/g)) {
-      context += r2.cmd("pdc@" + addr);
-    }
-    r2.cmd("s " + at);
-  }
-
-  const appendQuery = extraQuery ? " " + args : "";
-
-  try {
-    const parsedArgs = args.slice(2).trim();
-    let text = "";
-
-    if (
-      state.contextFile !== "" &&
-      r2.cmd2("test -f " + state.contextFile).value === 0
-    ) {
-      text += "## Context:\n[START]\n" +
-        r2.cmd("cat " + state.contextFile) +
-        "\n[END]\n";
-    }
-
-    const { body, count } = withColorDisabled(() => {
-      let body = "## Before:\n";
-      let count = 0;
-      for (const c of state.commands.split(",")) {
-        if (c.trim() === "") continue;
-        const oneliner = extraQuery || parsedArgs.trim().length === 0
-          ? c
-          : c + "@@= " + parsedArgs;
-        const output = r2.cmd(oneliner);
-        if (output.length > 5) {
-          body += "Output of " + c + ":\n[START]\n" + output + "\n[END]\n";
-          count++;
-        }
-      }
-      body += "## After:\n";
-      return { body, count };
-    });
-
-    if (count === 0) {
-      console.error("Nothing to do.");
-      return;
-    }
-
-    let out = "";
-    if (state.decopipe.use) {
-      const origModel = state.model;
-      try {
-        const dpipe = state.decopipe[state.decopipe.default as string] as {
-          pipeline: Array<{ model?: string; query: string }>;
-          globalQuery: string;
-        };
-        let code = text + body;
-
-        for (const dp of dpipe.pipeline) {
-          if (dp.model) state.model = dp.model;
-          const query = dp.query + ". " + dpipe.globalQuery;
-          out = r2ai(query, code, true);
-          if (state.debug) {
-            console.log("QUERY\n", query, "\nINPUT\n", code, "\nOUTPUT\n", out);
-          }
-          code = out;
-        }
-        out = code;
-      } finally {
-        state.model = origModel;
-      }
-    } else {
-      const query = appendQuery;
-      text += body + context;
-      out = r2ai(query, text, false);
-      state.lastOutput = out;
-    }
-
-    if (useCache && out.length > 1) {
-      r2.call("ano=base64:" + b64(out));
-    }
-
-    if (out.startsWith("```")) {
-      out = out.replace(/```.*\n/, "").replace(/```$/, "");
-    }
-
-    return out.trim();
-  } catch (e) {
-    const err = e as Error;
-    console.error(err, err.stack);
-    return;
-  }
-}
-
-export function explainFunction(): string {
-  const hints = withColorDisabled(() =>
-    "[START]" +
-    state.commands.split(",").map((c) => r2.cmd(c)).join("\n") + "[END]"
-  );
-
-  const res = r2ai(
-    "Analyze function calls, references, comments and strings, loops and ignore registers and memory accesses. Explain the purpose of this function in a single short sentence. /no_think Do not introduce or argue the response, translation of the explanation in " +
-      state.humanLanguage,
-    hints,
-    true,
-  );
-
-  const lines = res.trim().split(/\n/g);
-  return lines[lines.length - 1].trim();
-}
-
-export function suggestSignature(): string {
-  const tmp = state.language;
-  const code = r2.cmd("afv;pdc");
-  state.language = "C";
-
-  let out = "'afs " +
-    r2ai(
-      "analyze the uses of the arguments and return value to infer the signature, identify which is the correct type for the return. Do NOT print the function body, ONLY output the function signature, like if it was going to be used in a C header",
-      code,
-      false,
-    );
-
-  const brace = out.indexOf("{");
-  if (brace !== -1) {
-    out = out.substring(0, brace);
-  }
-
-  state.language = tmp;
-  return out;
-}
-
-export function autoMode(
-  queryText: string,
-  mainHandler: (args: string) => boolean,
-): void {
-  const replies: string[] = [];
-
-  while (true) {
-    let q = HELP_TEXT.auto;
-
-    if (replies.length > 0) {
-      q += "## Command Results\n\n";
-      for (const rep of replies) {
-        const rp = JSON.parse(rep);
-        q += "### " + rp.command + "\n\n```\n" + rp.response + "\n```\n";
-      }
-    }
-
-    q += "\n\n## User Prompt\n\n" + queryText;
-
-    if (state.debug) {
-      console.log("#### input\n", q, "\n#### /input");
-    }
-
-    console.log("Thinking...");
-    const out = r2ai("", q, true);
-
-    if (state.debug) {
-      console.log("#### output\n", out, "\n#### /output");
-    }
-
-    try {
-      const o: AutoReply = JSON.parse(
-        trimJson(trimDown(filterResponse(out))),
-      );
-
-      if (
-        o.action === "r2cmd" ||
-        o.action === "response" ||
-        o.action === o.command
-      ) {
-        const ocmd = o.command || "";
-
-        if (o.reason) {
-          console.log("[r2cmd] Reasoning: " + o.reason);
-          if (state.tts) {
-            r2.syscmd("pkill say");
-            r2.syscmd(
-              "say -v Alex -r 250 '" + o.reason.replace(/'/g, "") + "' &",
-            );
-          }
-        }
-
-        console.log("[r2cmd] Action: " + o.description);
-        console.log("[r2cmd] Command: " + ocmd);
-
-        let cmd = ocmd;
-        if (!state.yolo) {
-          cmd = autoRepl(ocmd, mainHandler);
-        }
-
-        console.log("[r2cmd] Running: " + cmd);
-        const obj = r2.cmd2(cmd);
-        const logs = obj.logs
-          ? obj.logs.map((x: { type: string; message: string }) =>
-            x.type + ": " + x.message
-          ).join("\n")
-          : "";
-        const res = (obj.res + logs).trim();
-
-        console.log(res);
-        const cleanRes = trimAnsi(res);
-
-        if (state.debug) {
-          console.log("<r2output>\n", cleanRes, "\n<(r2output>");
-        }
-
-        replies.push(
-          JSON.stringify({
-            action: "response",
-            command: cmd,
-            description: o.description,
-            response: cleanRes,
-          }),
-        );
-      } else if (o.action === "reply") {
-        console.log("Done\n", o.response);
-        break;
-      } else {
-        console.log("Unknown response\n", JSON.stringify(out));
-        break;
-      }
-    } catch (e) {
-      const response = out.indexOf('response": "');
-      if (response !== -1) {
-        const res = out
-          .slice(response + 12)
-          .replace(/\\n/g, "\n")
-          .replace(/\\/g, "");
-        console.log(res);
-      } else {
-        console.log(out);
-        console.error(e);
-      }
-      break;
-    }
-  }
-}
-
-function autoRepl(
-  ocmd: string,
-  mainHandler: (args: string) => boolean,
-): string {
-  while (true) {
-    const cmd = r2.cmd("'?ie Tweak command? ('?' for help)").trim();
-
-    if (cmd === "q!") {
-      console.error("Break!");
-      break;
-    }
-    if (cmd === "?") {
-      autoHelp();
-      continue;
-    } else if (cmd.startsWith(":")) {
-      console.log(r2.cmd(cmd.slice(1)));
-      continue;
-    } else if (cmd.startsWith("-e")) {
-      mainHandler(cmd);
-      continue;
-    } else if (cmd === "!") {
-      return "?e do NOT execute '" + ocmd + "' again, continue without it";
-    } else if (cmd.startsWith("!")) {
-      console.log(r2.syscmd(cmd.slice(1)));
-      continue;
-    } else if (cmd === "q") {
-      return "?e All data collected!. Do not call more commands, reply the solutions";
-    } else if (!cmd) {
-      return ocmd;
-    } else {
-      const comment = cmd.indexOf("#");
-      if (comment !== -1) {
-        const command = cmd.slice(0, comment).trim();
-        return command;
-      }
-      return cmd;
-    }
-  }
-  return ocmd;
-}
-
-function autoHelp(): void {
-  console.log(" '!'     do not run this command");
-  console.log(" '!c'    run system command");
-  console.log(" 'q'     to quit auto and try to solve");
-  console.log(" 'q!'    quit auto without solving");
-  console.log(" 'c # C' use given command with comment");
-  console.log(" ':c'    run r2 command without feeding auto");
-  console.log(" '-e'    set decai configuration variables");
-}
-
-function getFlagValue(args: string): string {
-  return args.slice(2).trim();
-}
-
-function currentFunctionExists(): boolean {
-  return r2.cmd("afi.").trim().length > 0;
-}
-
-const noFunctionMessage = "Cannot find function at current offset";
-
-export function handleCommand(
-  args: string,
-  mainHandler: (args: string) => boolean,
-): string | undefined {
-  if (args === "" || !args.startsWith("-")) {
-    showHelp();
-    return;
-  }
-
-  let output = "";
-  const flag = args[1];
-  const argValue = getFlagValue(args);
-
-  switch (flag) {
-    case "H":
-      console.log(HELP_TEXT.decai);
-      break;
-
-    case "a":
-      autoMode(argValue, mainHandler);
-      break;
-
-    case "m": {
-      if (argValue === "=") {
-        evalConfig("model=");
-      } else if (argValue) {
-        evalConfig("model=" + argValue);
-      } else {
-        evalConfig("model");
-      }
-      break;
-    }
-
-    case "n":
-    case "f": {
-      if (!currentFunctionExists()) {
-        output = noFunctionMessage;
-        break;
-      }
-      output = r2.cmd("axff~$[3]");
-      const considerations = r2
-        .cmd("fd.")
-        .trim()
-        .split(/\n/)
-        .filter((x: string) => !x.startsWith("secti"))
-        .join(",");
-
-      output = r2ai(
-        "give me a better name for this function. the output must be: 'afn NEWNAME'. do not include the function code, only the afn line. consider: " +
-          considerations,
-        output,
-        false,
-      ).trim();
-      output += " @ " + r2.cmd("?v $FB").trim();
-      break;
-    }
-
-    case "v": {
-      if (!currentFunctionExists()) {
-        output = noFunctionMessage;
-        break;
-      }
-      output = r2.cmd("afv;pdc");
-      output = r2ai(
-        "guess a better name and type for each local variable and function argument taking using. output an r2 script using afvn and afvt commands",
-        output,
-        false,
-      );
-      break;
-    }
-
-    case "i": {
-      const parts = argValue.split(/\s+/).filter(Boolean);
-      if (parts.length >= 2) {
-        const file = parts[0];
-        const query = parts.slice(1).join(" ");
-        const fileData = r2.cmd("cat " + file);
-        console.log(r2ai(query, fileData, true));
-      } else {
-        console.log("Use: decai -i [file] [query ...]");
-      }
-      break;
-    }
-
-    case "p": {
-      if (argValue) {
-        evalConfig("api=" + argValue);
-      } else {
-        listApiKeys();
-      }
-      break;
-    }
-
-    case "r": {
-      if (argValue) {
-        state.prompt = argValue;
-      } else {
-        console.log(state.prompt);
-      }
-      break;
-    }
-
-    case "R":
-      state.prompt = DEFAULT_PROMPT;
-      break;
-
-    case "s":
-      if (!currentFunctionExists()) {
-        output = noFunctionMessage;
-        break;
-      }
-      output = suggestSignature();
-      break;
-
-    case "V":
-      output = r2ai(
-        "find vulnerabilities, dont show the code, only show the response, provide a sample exploit",
-        state.lastOutput,
-        false,
-      );
-      break;
-
-    case "K":
-      editApiKeys();
-      break;
-
-    case "E":
-      editRcConfig();
-      break;
-
-    case "k":
-      listApiKeys();
-      break;
-
-    case "b": {
-      if (argValue) {
-        evalConfig("baseurl=" + argValue);
-      } else {
-        console.log(state.baseurl);
-      }
-      break;
-    }
-
-    case "e": {
-      if (argValue) {
-        evalConfig(argValue);
-      } else {
-        listAllConfig();
-      }
-      break;
-    }
-
-    case "q":
-      try {
-        output = r2ai(argValue, null, true);
-      } catch (e) {
-        const err = e as Error;
-        console.error(err, err.stack);
-      }
-      break;
-
-    case "Q":
-      output = r2ai(argValue, state.lastOutput, false);
-      break;
-
-    case "x":
-      if (!currentFunctionExists()) {
-        output = noFunctionMessage;
-        break;
-      }
-      output = explainFunction();
-      if (args[2] === "*" || args[2] === "r") {
-        output = "'CC " + output;
-      }
-      break;
-
-    case "d":
-      if (args[2] === "r") {
-        output = decompile(args.slice(2), true, state.cache, true) || "";
-      } else if (args[2] === "d") {
-        output = decompile(args, false, false, false) || "";
-      } else if (args[2] === "D") {
-        output = decompile(args, true, false, false) || "";
-      } else {
-        output = decompile(args, false, state.cache, false) || "";
-      }
-      break;
-
-    default:
-      showHelp();
-      break;
-  }
-
-  return output || undefined;
-}

decai/src/config.ts

@@ -1,199 +0,0 @@
-import { ConfigHandler, ConfigHandlers } from "./types";
-import { DECAI_CONFIG_DIR, DECAI_CONFIG_PATH } from "./constants";
-import { defaultState, state } from "./state";
-import { listModelsFor } from "./models";
-import { listProviders } from "./providers";
-import { formatHeaders, parseHeaders } from "./headers";
-import { ensurePath, fileExists } from "./utils";
-
-let rcConfigLoaded = false;
-
-function parseBoolean(value: string): boolean {
-  return value === "true" || value === "1";
-}
-
-type StateKey = keyof typeof state;
-
-function boolHandler(key: StateKey): ConfigHandler {
-  // deno-lint-ignore no-explicit-any
-  const s = state as any;
-  return {
-    get: () => s[key] as boolean,
-    set: (v: string) => { s[key] = parseBoolean(v); },
-  };
-}
-
-function stringHandler(key: StateKey): ConfigHandler {
-  // deno-lint-ignore no-explicit-any
-  const s = state as any;
-  return {
-    get: () => s[key] as string,
-    set: (v: string) => { s[key] = v; },
-  };
-}
-
-function normalizeApiType(value: string): "chat" | "generate" | null {
-  const apiType = value.trim();
-  if (apiType === "chat") {
-    return "chat";
-  }
-  if (apiType === "generate") {
-    return "generate";
-  }
-  return null;
-}
-
-export const configHandlers: ConfigHandlers = {
-  pipeline: {
-    get: () => state.pipeline,
-    set: (v: string) => {
-      state.pipeline = v;
-      try {
-        state.decopipe = JSON.parse(r2.cmd("cat " + v));
-      } catch (e) {
-        console.error(e);
-      }
-    },
-  },
-  model: {
-    get: () => state.model,
-    set: (v: string) => {
-      if (v === "?") {
-        listModelsFor(state.api);
-      } else {
-        state.model = v.trim();
-      }
-    },
-  },
-  deterministic: boolHandler("deterministic"),
-  files: boolHandler("useFiles"),
-  think: {
-    get: () => state.think || "false",
-    set: (v: string) => { state.think = v; },
-  },
-  apitype: {
-    get: () => state.apitype,
-    set: (v: string) => {
-      const apiType = normalizeApiType(v);
-      if (apiType) {
-        state.apitype = apiType;
-      } else {
-        console.error("Invalid apitype. Use chat or generate.");
-      }
-    },
-  },
-  debug: boolHandler("debug"),
-  http: {
-    get: () => state.http,
-    set: (v: string) => {
-      const backend = v.trim();
-      if (backend === "auto" || backend === "r2" || backend === "curl") {
-        state.http = backend;
-      } else {
-        console.error("Invalid http backend. Use auto, r2 or curl.");
-      }
-    },
-  },
-  timeout: {
-    get: () => state.timeout,
-    set: (v: string) => { state.timeout = Math.max(0, parseInt(v, 10) || 0); },
-  },
-  api: {
-    get: () => state.api,
-    set: (v: string) => {
-      if (v === "?") {
-        console.error(listProviders().join("\n"));
-      } else {
-        state.api = v;
-      }
-    },
-  },
-  lang: stringHandler("language"),
-  hlang: stringHandler("humanLanguage"),
-  cache: boolHandler("cache"),
-  cmds: stringHandler("commands"),
-  tts: boolHandler("tts"),
-  yolo: boolHandler("yolo"),
-  prompt: stringHandler("prompt"),
-  ctxfile: stringHandler("contextFile"),
-  baseurl: stringHandler("baseurl"),
-  headers: {
-    get: () => formatHeaders(state.extraHeaders),
-    set: (v: string) => { state.extraHeaders = parseHeaders(v); },
-  },
-  maxtokens: {
-    get: () => state.maxInputTokens,
-    set: (v: string) => { state.maxInputTokens = parseInt(v, 10) || -1; },
-  },
-};
-
-function resetRcConfigState(): void {
-  const keep = { host: state.host, port: state.port, lastOutput: state.lastOutput };
-  Object.assign(state, defaultState, keep);
-  state.decopipe = { ...defaultState.decopipe };
-  state.extraHeaders = [...defaultState.extraHeaders];
-}
-
-function normalizeRcLine(line: string): string | null {
-  const trimmed = line.trim();
-  if (!trimmed || trimmed.startsWith("#")) {
-    return null;
-  }
-  return trimmed.startsWith("decai -e ")
-    ? trimmed.slice("decai -e ".length).trim()
-    : trimmed;
-}
-
-export function evalConfig(arg: string): void {
-  const eqIndex = arg.indexOf("=");
-  const k = eqIndex === -1 ? arg : arg.slice(0, eqIndex);
-  const v = eqIndex === -1 ? undefined : arg.slice(eqIndex + 1);
-  const handler = configHandlers[k];
-
-  if (!handler) {
-    console.error("Unknown config key");
-    return;
-  }
-
-  if (typeof v !== "undefined") {
-    handler.set(v);
-  } else {
-    console.log(handler.get());
-  }
-}
-
-export function listAllConfig(): void {
-  Object.entries(configHandlers).forEach(([key, handler]) => {
-    const value = handler.get();
-    console.log("decai -e " + key + "=" + value);
-  });
-}
-
-export function loadRcConfig(): void {
-  resetRcConfigState();
-  if (!fileExists(DECAI_CONFIG_PATH)) {
-    return;
-  }
-  const rcFile = r2.call("cat " + DECAI_CONFIG_PATH);
-  for (const line of rcFile.split(/\r?\n/)) {
-    const rcLine = normalizeRcLine(line);
-    if (rcLine && rcLine[0] != '#') {
-      evalConfig(rcLine);
-    }
-  }
-}
-
-export function ensureRcConfigLoaded(): void {
-  if (rcConfigLoaded) {
-    return;
-  }
-  loadRcConfig();
-  rcConfigLoaded = true;
-}
-
-export function editRcConfig(): void {
-  ensurePath(DECAI_CONFIG_DIR, DECAI_CONFIG_PATH);
-  r2.cmd("'ed " + DECAI_CONFIG_PATH);
-  loadRcConfig();
-  rcConfigLoaded = true;
-}

decai/src/constants.ts

@@ -1,130 +0,0 @@
-export const VERSION = "1.5.4";
-export const COMMAND = "decai";
-export const DECAI_CONFIG_DIR = "~/.config/r2ai";
-export const API_KEYS_PATH = DECAI_CONFIG_DIR + "/apikeys.txt";
-export const DECAI_CONFIG_PATH = DECAI_CONFIG_DIR + "/decai.txt";
-
-export const DEFAULT_PROMPT =
-  "Rewrite this pseudocode into concise and clean code. Output only the provided function. Do not add wrappers, helper examples, test code, or main-like functions. Replace goto with structured control flow, simplify as much as possible, infer types and use better names for variables and parameters, some strings may be appearing as comments, preserve only what is implied by the input, and remove dead code.";
-
-export const HELP_TEXT = {
-  decai: `# Using Decai
-
-Decai is the radare2 plugin for decompiling functions with the help of language models.
-
-By default uses a local ollama server, but can you can pick any other service by using 'decai -e api=?'.
-
-[0x00000000]> decai -e api=?
-r2ai deepseek anthropic claude gemini groq hf lmstudio mistral ollama ollamacloud openapi openai openrouter vllm xai zen
-
-## Using Ollama
-
-* Visit https://ollama.com to install it.
-* Download the model of choice: 'ollama run llama3.3'
-* Configure decai to use the given model with: 'decai -e model=?'
-
-These are the most recommended models for decompiling in local:
-
-* hhao/qwen2.5-coder-tools:latest (18GB of ram)
-* hhao/qwen2.5-coder-tools:32b (24GB of ram required)
-
-## Common Options
-* 'decai -e baseurl=<url>' override default host and port for API endpoint (e.g., 'http://localhost:11434')
-* 'decai -e apitype=chat|generate' choose the Ollama API endpoint (default: chat)
-* 'decai -e headers=Authorization: Bearer ...\\nUser-Agent: curl/8.7.1' add or override HTTP headers
-* "export DECAI_HEADERS='Authorization: Bearer ...\\nUser-Agent: curl/8.7.1'" set extra headers from the environment
-* 'decai -e http=auto|r2|curl' select the HTTP transport (default: auto, prefers r2.http)
-* 'decai -e timeout=0' disable curl timeouts, or set a positive number of seconds
-
-* 'decai -e deterministic=true' to remove randomness from decompilation responses
-* 'decai -e lang=Python' to output the decompilation in Python instead of C
-* 'decai -e hlang=Catalan' to add comments or explanations in that language (instead of English)
-* 'decai -e cmds=pdd,pdg' use r2dec and r2ghidra instead of r2's pdc as input for decompiling
-* 'decai -e prompt=..' default prompt must be fine for most models and binaries, feel free to tweak it
-
-## API Keys
-
-Remove services like OpenAI, Mistral, Anthropic, Grok, Gemini, .. require API keys to work.
-
-See 'decai -k' to list the status of available APIkeys
-Use 'decai -K' to edit apikeys.txt and 'decai -E' to edit decai.txt.
-
-Decai will pick them from the environment or the config files in your home:
-
-* echo KEY > ~/.r2ai.openai-key
-* export OPENAI_API_KEY=...
-* put one 'key=value' pair per line in ~/.config/r2ai/decai.txt
-
-## Using the R2AI Server:
-
-Install r2ai or r2ai-server with r2pm:
-
-[0x0000000]> decai -e api=r2ai
-[0x0000000]> r2pm -ci r2ai
-
-Choose one of the recommended models (after r2pm -r r2ai):
-
-* -m ibm-granite/granite-20b-code-instruct-8k-GGUF
-* -m QuantFactory/granite-8b-code-instruct-4k-GGUF
-* -m TheBloke/Mistral-7B-Instruct-v0.2-GGUF
-
-Start the webserver:
-
-$ r2pm -r r2ai-server -l r2ai -m granite-8...
-`,
-  auto: `# Radare2 Auto Mode
-
-Use function calling to execute radare2 commands in order to resolve the user request defined in the "User Prompt" section, analyze the responses attached in the "Command Results" section.
-
-## Function Calling
-
-Respond ONLY using plain JSON. Process user query and decide which function calls are necessary to solve the task.
-
-1. Analyze the user request to determine if we need to run commands to extend the knowledge and context of the problem.
-2. If function call is needed, construct the JSON like this:
- - Fill the "action" key with the "r2cmd" value.
- - Specify the "command" as a string.
- - Optionally, provide a "reason" and "description"
-3. If the answer can be provided and no more function calls are required:
- - Use the key "action": "reply".
- - Include "response" with the direct answer to the user query.
-
-Return the result as a JSON object.
-
-### Sample Function Calling Communication
-
-Command Results: already performed actions with their responses
-User Prompt: "Count how many functions we have here."
-Response:
-{
-    "action": "r2cmd",
-    "command": "aflc",
-    "description": "Count functions"
-    "reason": "Evaluate if the program is analyzed before running aaa"
-}
-
-## Rules
-
-Use radare2 to resolve user requests.
-
-* Explain each step in the "reason" field of the JSON.
-* Follow the initial analysis instructions.
-* Output only valid JSON as specified.
-* Decompile and inspect functions, starting from main.
-* Run only the needed commands to gather info.
-* Use "@ (address|symbol)" to seek temporarily.
-* Output should be a verbose markdown report.
-* Use "sym." or "fcn." prefixes if "pdc" is empty.
-* If a seek fails, use "f~name" to find the symbol's address.
-
-### Initial Analysis
-
-1. Run "aflc" to count the number of functions
-2. If the output of "aflc" is "0" run "aaa" once, then "aflc" again
-3. Run only one command at a time (do not use ";")
-
-### Special cases
-
-* On Swift binaries run...
-`,
-};

decai/src/headers.ts

@@ -1,91 +0,0 @@
-import { state } from "./state";
-
-const HEADER_ENV_VARS = ["DECAI_HEADERS", "R2AI_HEADERS"];
-
-interface ParsedHeader {
-  name: string;
-  value: string;
-}
-
-function readEnvVar(name: string): string {
-  const value = r2.cmd("'%" + name).trim();
-  return value !== "" && !value.includes("=") ? value : "";
-}
-
-function normalizeHeaderName(name: string): string {
-  return name.trim().toLowerCase();
-}
-
-function parseHeaderLine(line: string): ParsedHeader | null {
-  const colon = line.indexOf(":");
-  const equals = line.indexOf("=");
-  const sep = colon !== -1 && (equals === -1 || colon < equals)
-    ? colon
-    : equals;
-
-  if (sep === -1) {
-    return null;
-  }
-
-  const name = line.slice(0, sep).trim();
-  if (name === "") {
-    return null;
-  }
-
-  return {
-    name,
-    value: line.slice(sep + 1).trim(),
-  };
-}
-
-function formatHeader(header: ParsedHeader): string {
-  return header.value === ""
-    ? `${header.name}:`
-    : `${header.name}: ${header.value}`;
-}
-
-function collectHeaders(
-  headerLines: string[],
-  into: Map<string, string>,
-): void {
-  for (const rawLine of headerLines) {
-    const header = parseHeaderLine(rawLine.trim());
-    if (header) {
-      into.set(normalizeHeaderName(header.name), formatHeader(header));
-    }
-  }
-}
-
-export function parseHeaders(value: string): string[] {
-  const headers = new Map<string, string>();
-  const lines = value.replace(/\\n/g, "\n").split(/\r?\n/g)
-    .filter((l) => { const t = l.trim(); return t && !t.startsWith("#"); });
-  collectHeaders(lines, headers);
-  return Array.from(headers.values());
-}
-
-export function formatHeaders(headers: string[]): string {
-  return headers.join("\\n");
-}
-
-export function mergeHeaders(...groups: string[][]): string[] {
-  const merged = new Map<string, string>();
-  for (const group of groups) {
-    collectHeaders(group, merged);
-  }
-  return Array.from(merged.values());
-}
-
-function readConfiguredEnvHeaders(): string[] {
-  for (const name of HEADER_ENV_VARS) {
-    const value = readEnvVar(name);
-    if (value) {
-      return parseHeaders(value);
-    }
-  }
-  return [];
-}
-
-export function getConfiguredHeaders(): string[] {
-  return mergeHeaders(readConfiguredEnvHeaders(), state.extraHeaders);
-}

decai/src/http.ts

@@ -1,108 +0,0 @@
-import { HttpResponse } from "./types";
-import { state } from "./state";
-import { mergeHeaders } from "./headers";
-import { debugLog } from "./utils";
-
-interface HttpRequestOptions {
-  method: "GET" | "POST";
-  url: string;
-  headers: string[];
-  payload?: string;
-}
-
-function shellEscape(arg: string): string {
-  return `'${arg.replace(/'/g, `'"'"'`)}'`;
-}
-
-function executeRequest(options: HttpRequestOptions): string {
-  const { method, url, headers, payload } = options;
-  const requestHeaders = mergeHeaders(
-    ["Content-Type: application/json"],
-    headers,
-  );
-  if (state.http !== "curl") {
-    if (r2.http) {
-      return r2.http(method, url, requestHeaders.join("\n"), payload ?? "").body;
-    }
-    if (state.http === "r2") {
-      throw new Error("r2.http is not available in this runtime");
-    }
-  }
-  const cmdParts = ["curl", "-s"];
-  if (state.timeout > 0) {
-    cmdParts.push("--max-time", String(state.timeout));
-  }
-  requestHeaders.forEach((h) => cmdParts.push("-H", shellEscape(h)));
-
-  if (method === "POST") {
-    if (!payload) throw new Error("Payload required for POST requests");
-    const tmpfile = r2.fdump(payload);
-    cmdParts.push("--data-binary", "@" + shellEscape(tmpfile), shellEscape(url));
-    const cmd = cmdParts.join(" ") + "; rm " + shellEscape(tmpfile);
-    debugLog(cmd);
-    return r2.syscmds(cmd);
-  } else {
-    cmdParts.push(shellEscape(url));
-    const cmd = cmdParts.join(" ");
-    debugLog(cmd);
-    return r2.syscmds(cmd);
-  }
-}
-
-function parseNdjson(output: string): HttpResponse | null {
-  const lines = output.split("\n").filter((l) => l.trim() !== "");
-  if (lines.length <= 1) return null;
-
-  let content = "";
-  let lastObj: Record<string, unknown> | null = null;
-
-  for (const line of lines) {
-    try {
-      const obj = JSON.parse(line);
-      if (obj.error) return obj as HttpResponse;
-      if (obj.message?.content !== undefined) {
-        content += obj.message.content;
-      }
-      lastObj = obj;
-    } catch {
-      return null;
-    }
-  }
-
-  if (lastObj) {
-    lastObj.message = { role: "assistant", content };
-    return lastObj as HttpResponse;
-  }
-  return null;
-}
-
-export function httpRequest(options: HttpRequestOptions): HttpResponse {
-  try {
-    const output = executeRequest(options).trim();
-    if (output === "") {
-      return { error: "empty response" };
-    }
-    try {
-      return JSON.parse(output) as HttpResponse;
-    } catch {
-      const ndjson = parseNdjson(output);
-      if (ndjson) return ndjson;
-      return { error: output, rawOutput: output };
-    }
-  } catch (e) {
-    const err = e as Error;
-    return { error: err.message };
-  }
-}
-
-export function httpGet(url: string, headers: string[]): HttpResponse {
-  return httpRequest({ method: "GET", url, headers });
-}
-
-export function httpPost(
-  url: string,
-  headers: string[],
-  payload: string,
-): HttpResponse {
-  return httpRequest({ method: "POST", url, headers, payload });
-}

decai/src/httptask.md

@@ -1,10 +0,0 @@
-### 3. HTTP Request Patterns
-
-**Location**: `http.ts`, used throughout providers and models
-
-**Problems**:
-
-- Two different curl methods (`curlArgs` vs `curlFile`) with similar but
-  separate logic
-- Error handling in HTTP layer vs. application layer
-- No centralized request/response abstraction

decai/src/main.ts

@@ -1,34 +0,0 @@
-import { COMMAND } from "./constants";
-import { handleCommand } from "./commands";
-import { ensureRcConfigLoaded } from "./config";
-
-function main(args: string): boolean {
-  ensureRcConfigLoaded();
-  const output = handleCommand(args, main);
-  if (output) {
-    r2.log(output);
-  }
-  return true;
-}
-
-function installPlugin(): void {
-  r2.unload("core", COMMAND);
-  r2.plugin("core", function () {
-    function coreCall(cmd: string): boolean {
-      if (cmd.startsWith(COMMAND)) {
-        const args = cmd.slice(COMMAND.length).trim();
-        return main(args);
-      }
-      return false;
-    }
-
-    return {
-      name: COMMAND,
-      license: "MIT",
-      desc: "r2 decompiler based on r2ai",
-      call: coreCall,
-    };
-  });
-}
-
-installPlugin();

decai/src/models.ts

@@ -1,34 +0,0 @@
-import { getProvider, listModels } from "./providers";
-
-export function listModelsFor(api: string): void {
-  const providerConfig = getProvider(api);
-
-  if (!providerConfig) {
-    console.error(`Unknown provider: ${api}`);
-    return;
-  }
-
-  try {
-    const models = listModels(api);
-
-    if (models) {
-      console.log(models);
-    }
-
-    if (providerConfig.hardcodedModels) {
-      providerConfig.hardcodedModels.forEach((model) => console.log(model));
-    }
-
-    if (api === "mistral") {
-      console.log("ministral-8b-latest");
-    }
-
-    if (!models && !providerConfig.hardcodedModels) {
-      console.log(providerConfig.defaultModel);
-    }
-  } catch (e) {
-    const err = e as Error;
-    console.error(`Error listing models for ${api}:`, err.message);
-    console.log(providerConfig.defaultModel);
-  }
-}

decai/src/providers.ts

@@ -1,541 +0,0 @@
-import {
-  AnthropicPayload,
-  ApiKeyResult,
-  ApiStyle,
-  AuthStyle,
-  GeminiPayload,
-  HttpResponse,
-  ModelDataEntry,
-  OllamaModelEntry,
-  OllamaPayload,
-  ProviderConfig,
-  ProviderRegistry,
-} from "./types";
-import { state } from "./state";
-import { filterResponse, joinUrl, padRight } from "./utils";
-import { getApiKey } from "./apiKeys";
-import { getConfiguredHeaders, mergeHeaders } from "./headers";
-import { httpGet, httpPost } from "./http";
-
-interface ProviderRuntime {
-  buildPayload: (model: string, query: string) => object;
-  parseResponse: (response: HttpResponse) => string;
-  buildUrl: (baseUrl: string, model: string, apiKey?: string) => string;
-  requiresUrlApiKey?: boolean;
-}
-
-function getApiKeyName(authKey: string): string {
-  return authKey.split("_")[0].toLowerCase();
-}
-
-function readProviderKey(provider: ProviderConfig): ApiKeyResult | undefined {
-  if (!provider.authKey) {
-    return undefined;
-  }
-  const keyNames = Array.from(
-    new Set(
-      [provider.keyName, getApiKeyName(provider.authKey)].filter(Boolean),
-    ),
-  ) as string[];
-
-  let fallback: ApiKeyResult | undefined;
-  for (const keyName of keyNames) {
-    const result = getApiKey(keyName, provider.authKey);
-    if (result[0]) {
-      return result;
-    }
-    if (!fallback && result[2] !== "nope") {
-      fallback = result;
-    }
-  }
-
-  return fallback ||
-    getApiKey(getApiKeyName(provider.authKey), provider.authKey);
-}
-
-function getErrorMessage(error: HttpResponse["error"]): string | undefined {
-  if (!error) {
-    return undefined;
-  }
-  if (typeof error === "string") {
-    return error;
-  }
-  return error.message || JSON.stringify(error);
-}
-
-function getProviderBaseUrl(provider: ProviderConfig): string {
-  return state.baseurl || provider.defaultBaseUrl;
-}
-
-function getProviderHeaders(
-  providerHeaders: string[],
-  extraHeaders: string[] = getConfiguredHeaders(),
-): string[] {
-  return mergeHeaders(providerHeaders, extraHeaders);
-}
-
-function buildBearerHeaders(apiKey: string | null): string[] {
-  return apiKey ? ["Authorization: Bearer " + apiKey] : [];
-}
-
-function buildAnthropicHeaders(apiKey: string | null): string[] {
-  const headers = ["anthropic-version: 2023-06-01"];
-  return apiKey ? mergeHeaders(headers, ["x-api-key: " + apiKey]) : headers;
-}
-
-function buildAuthHeaders(
-  provider: ProviderConfig,
-  apiKey: string | null,
-): string[] {
-  const authStyle: AuthStyle = provider.authStyle || "none";
-  switch (authStyle) {
-    case "bearer":
-      return buildBearerHeaders(apiKey);
-    case "anthropic":
-      return buildAnthropicHeaders(apiKey);
-    case "none":
-    default:
-      return [];
-  }
-}
-
-function listDataModels(
-  url: string,
-  headers: string[],
-  mapper: (model: ModelDataEntry) => string,
-): string {
-  const response = httpGet(url, headers);
-  const error = getErrorMessage(response.error);
-  if (error) {
-    console.error(error);
-    return "error invalid response";
-  }
-  return response.data?.map(mapper).join("\n") || "";
-}
-
-function uniqueBy<T>(items: T[], getKey: (item: T) => string): T[] {
-  const seen = new Set<string>();
-  return items.filter((item) => {
-    const key = getKey(item);
-    if (seen.has(key)) {
-      return false;
-    }
-    seen.add(key);
-    return true;
-  });
-}
-
-function getProviderRequest(provider: ProviderConfig): {
-  baseUrl: string;
-  headers: string[];
-} {
-  const apiKey = readProviderKey(provider)?.[0] || null;
-  return {
-    baseUrl: getProviderBaseUrl(provider),
-    headers: getProviderHeaders(buildAuthHeaders(provider, apiKey)),
-  };
-}
-
-function listV1Models(provider: ProviderConfig): string {
-  const { baseUrl, headers } = getProviderRequest(provider);
-  const url = joinUrl(baseUrl, "v1/models");
-  return listDataModels(url, headers, (model) => model.id);
-}
-
-function listOllamaModels(provider: ProviderConfig): string {
-  const { baseUrl, headers } = getProviderRequest(provider);
-  const response = httpGet(joinUrl(baseUrl, "api/tags"), headers);
-  const error = getErrorMessage(response.error);
-  if (error) {
-    console.error(error);
-    return "error invalid response";
-  }
-  return response.models?.map((model: OllamaModelEntry) => model.name).join(
-    "\n",
-  ) || "";
-}
-
-function listMistralModels(provider: ProviderConfig): string {
-  const { baseUrl, headers } = getProviderRequest(provider);
-  const response = httpGet(joinUrl(baseUrl, "v1/models"), headers);
-  if (response.data) {
-    return uniqueBy(response.data, (model) => model.name || model.id)
-      .map((model) =>
-        [
-          padRight(model.name || model.id, 30),
-          padRight("" + (model.max_context_length || ""), 10),
-          model.description || "",
-        ].join(" ")
-      )
-      .join("\n");
-  }
-  return "";
-}
-
-const providerRuntimes: Record<ApiStyle, ProviderRuntime> = {
-  openai: {
-    buildPayload: (model, query) => ({
-      stream: false,
-      model,
-      messages: [{ role: "user", content: query }],
-    }),
-    parseResponse: (response) => {
-      if (response.error) {
-        throw new Error(getErrorMessage(response.error) || "Unknown error");
-      }
-      if (response.choices && response.choices[0]?.message?.content) {
-        return filterResponse(response.choices[0].message.content);
-      }
-      throw new Error("Invalid response format");
-    },
-    buildUrl: (baseUrl) => joinUrl(baseUrl, "v1/chat/completions"),
-  },
-  anthropic: {
-    buildPayload: (model, query) => {
-      const payload: AnthropicPayload = {
-        model,
-        max_tokens: 5128,
-        messages: [{ role: "user", content: query }],
-      };
-      if (isThinkEnabled()) {
-        payload.thinking = { type: "enabled", budget_tokens: 4096 };
-        payload.max_tokens = 16000;
-      }
-      if (state.deterministic && !isThinkEnabled()) {
-        Object.assign(payload, { temperature: 0, top_p: 0, top_k: 1 });
-      }
-      return payload;
-    },
-    parseResponse: (response) => {
-      if (response.content && Array.isArray(response.content)) {
-        const parts: string[] = [];
-        for (const block of response.content as Array<Record<string, unknown>>) {
-          if (block.text) {
-            parts.push(block.text as string);
-          }
-        }
-        if (parts.length > 0) {
-          return filterResponse(parts.join("\n"));
-        }
-      }
-      if (response.error) {
-        throw new Error(getErrorMessage(response.error) || "Unknown error");
-      }
-      throw new Error("Invalid response format");
-    },
-    buildUrl: (baseUrl) => joinUrl(baseUrl, "v1/messages"),
-  },
-  ollama: {
-    buildPayload: (model, query) => {
-      const payload: OllamaPayload = {
-        stream: false,
-        model,
-      };
-      if (state.apitype === "generate") {
-        payload.prompt = query;
-      } else {
-        payload.messages = [{ role: "user", content: query }];
-      }
-      if (isThinkEnabled()) {
-        if (state.think === "true" || state.think === "1") {
-          payload.think = true;
-        } else {
-          // Pass reasoning levels like "low", "medium", "high" as-is
-          payload.think = state.think;
-        }
-      } else {
-        // Disable thinking by default — models like glm-5 enable it
-        // implicitly, generating thousands of reasoning tokens
-        payload.think = false;
-      }
-      if (state.deterministic) {
-        payload.options = {
-          repeat_last_n: 0,
-          top_p: 1.0,
-          top_k: 1.0,
-          temperature: 0.0,
-          repeat_penalty: 1.0,
-          seed: 123,
-        };
-      }
-      return payload;
-    },
-    parseResponse: (response) => {
-      if (response.error) {
-        throw new Error(getErrorMessage(response.error));
-      }
-      if (typeof response.response === "string") {
-        return filterResponse(response.response);
-      }
-      if (response.message?.content) {
-        return filterResponse(response.message.content);
-      }
-      throw new Error(JSON.stringify(response));
-    },
-    buildUrl: (baseUrl) => joinUrl(baseUrl, "api/" + state.apitype),
-  },
-  gemini: {
-    buildPayload: (_model, query) => {
-      const payload: GeminiPayload = {
-        contents: [{ parts: [{ text: query }] }],
-      };
-      const genConfig: Record<string, unknown> = {};
-      if (state.deterministic) {
-        Object.assign(genConfig, { temperature: 0.0, topP: 1.0, topK: 1 });
-      }
-      if (state.think !== "") {
-        if (isThinkDisabled()) {
-          genConfig.thinkingConfig = { thinkingBudget: 0 };
-        } else {
-          genConfig.thinkingConfig = { thinkingBudget: 8192 };
-        }
-      }
-      if (Object.keys(genConfig).length > 0) {
-        payload.generationConfig = genConfig;
-      }
-      return payload;
-    },
-    parseResponse: (response) => {
-      if (response.candidates && response.candidates[0]?.content?.parts) {
-        const parts = response.candidates[0].content.parts as Array<Record<string, unknown>>;
-        const textParts = parts
-          .filter((p) => !p.thought && p.text)
-          .map((p) => p.text as string);
-        if (textParts.length > 0) {
-          return filterResponse(textParts.join("\n"));
-        }
-      }
-      if (response.error) {
-        throw new Error(getErrorMessage(response.error));
-      }
-      console.log(JSON.stringify(response));
-      throw new Error("Invalid response format");
-    },
-    buildUrl: (baseUrl, model, apiKey) =>
-      joinUrl(
-        baseUrl,
-        `v1beta/models/${model}:generateContent?key=${apiKey}`,
-      ),
-    requiresUrlApiKey: true,
-  },
-};
-
-export const providerRegistry: ProviderRegistry = {
-  anthropic: {
-    defaultModel: "claude-sonnet-5-5",
-    defaultBaseUrl: "https://api.anthropic.com",
-    authKey: "ANTHROPIC_API_KEY",
-    keyName: "anthropic",
-    authStyle: "anthropic",
-    apiStyle: "anthropic",
-  },
-  claude: {
-    defaultModel: "claude-sonnet-5-5",
-    defaultBaseUrl: "https://api.anthropic.com",
-    authKey: "ANTHROPIC_API_KEY",
-    keyName: "claude",
-    authStyle: "anthropic",
-    apiStyle: "anthropic",
-  },
-  openai: {
-    defaultModel: "gpt-4o-mini",
-    defaultBaseUrl: "https://api.openai.com",
-    authKey: "OPENAI_API_KEY",
-    authStyle: "bearer",
-    apiStyle: "openai",
-  },
-  ollama: {
-    defaultModel: "qwen2.5-coder:latest",
-    defaultBaseUrl: "http://localhost:11434",
-    authStyle: "none",
-    apiStyle: "ollama",
-  },
-  ollamacloud: {
-    defaultModel: "gpt-oss:120b",
-    defaultBaseUrl: "https://ollama.com",
-    authKey: "OLLAMA_API_KEY",
-    keyName: "ollamacloud",
-    authStyle: "bearer",
-    apiStyle: "ollama",
-  },
-  zen: {
-    defaultModel: "big-pickle",
-    defaultBaseUrl: "https://opencode.ai/zen",
-    authKey: "OPENCODE_API_KEY",
-    keyName: "zen",
-    authStyle: "bearer",
-    apiStyle: "openai",
-    hardcodedModels: ["big-pickle", "glm-5", "kimi-k2.5"],
-  },
-  gemini: {
-    defaultModel: "gemini-2.5-flash",
-    defaultBaseUrl: "https://generativelanguage.googleapis.com",
-    authKey: "GEMINI_API_KEY",
-    authStyle: "none",
-    apiStyle: "gemini",
-    hardcodedModels: [
-      "gemini-2.0-flash",
-      "gemini-2.0-flash-lite",
-      "gemini-2.5-pro",
-      "gemini-2.5-flash",
-      "gemini-2.5-flash-lite",
-    ],
-  },
-  mistral: {
-    defaultModel: "codestral-latest",
-    defaultBaseUrl: "https://api.mistral.ai",
-    authKey: "MISTRAL_API_KEY",
-    authStyle: "bearer",
-    apiStyle: "openai",
-  },
-  xai: {
-    defaultModel: "grok-beta",
-    defaultBaseUrl: "https://api.x.ai",
-    authKey: "XAI_API_KEY",
-    authStyle: "bearer",
-    apiStyle: "openai",
-    hardcodedModels: ["grok-2", "grok-beta"],
-  },
-  lmstudio: {
-    defaultModel: "local-model",
-    defaultBaseUrl: "http://127.0.0.1:1234",
-    authStyle: "none",
-    apiStyle: "openai",
-  },
-  deepseek: {
-    defaultModel: "deepseek-coder",
-    defaultBaseUrl: "https://api.deepseek.com",
-    authKey: "DEEPSEEK_API_KEY",
-    authStyle: "bearer",
-    apiStyle: "openai",
-    hardcodedModels: ["deepseek-coder", "deepseek-chat"],
-  },
-  openrouter: {
-    defaultModel: "openai/gpt-4o-mini",
-    defaultBaseUrl: "https://openrouter.ai/api",
-    authKey: "OPENROUTER_API_KEY",
-    authStyle: "bearer",
-    apiStyle: "openai",
-  },
-  groq: {
-    defaultModel: "llama-3.3-70b-versatile",
-    defaultBaseUrl: "https://api.groq.com/openai",
-    authKey: "GROQ_API_KEY",
-    authStyle: "bearer",
-    apiStyle: "openai",
-  },
-};
-
-export function getProvider(api: string): ProviderConfig | undefined {
-  return providerRegistry[api];
-}
-
-export function listProviders(): string[] {
-  return Object.keys(providerRegistry);
-}
-
-export function listModels(providerName: string): string {
-  const provider = getProvider(providerName);
-  if (!provider) {
-    throw new Error(`Unknown provider: ${providerName}`);
-  }
-
-  if (providerName === "mistral") {
-    return listMistralModels(provider);
-  }
-
-  switch (provider.apiStyle) {
-    case "openai":
-    case "anthropic":
-      return listV1Models(provider);
-    case "ollama":
-      return listOllamaModels(provider);
-    case "gemini":
-      return "";
-    default:
-      return "";
-  }
-}
-
-function isThinkDisabled(): boolean {
-  return state.think === "false" || state.think === "0";
-}
-
-function isThinkEnabled(): boolean {
-  return state.think !== "" && !isThinkDisabled();
-}
-
-function buildQuery(msg: string, hideprompt: boolean, apiStyle: ApiStyle): string {
-  let query = msg;
-
-  // Only add prompt-based thinking hints for APIs without native think support
-  if (state.think !== "" && apiStyle === "openai") {
-    if (isThinkDisabled()) {
-      query +=
-        ' Answers directly and concisely, without showing any thinking steps or internal reasoning. Never include phrases like "Let me think".';
-      query += " /no_think";
-    } else {
-      query =
-        "Think step by step and explain the reasoning process, When answering, first output your reasoning inside <think> and </think> tags, then give the final answer." +
-        query;
-    }
-  }
-
-  return hideprompt ? query : state.prompt + languagePrompt() + query;
-}
-
-function languagePrompt(): string {
-  return "\n.Translate the code into " + state.language +
-    " programming language\n";
-}
-
-function callRuntime(
-  provider: ProviderConfig,
-  runtime: ProviderRuntime,
-  msg: string,
-  hideprompt: boolean,
-): string {
-  const model = state.model || provider.defaultModel;
-  const query = buildQuery(msg, hideprompt, provider.apiStyle);
-  const apiKey = readProviderKey(provider);
-
-  if (runtime.requiresUrlApiKey && apiKey?.[1] && provider.authKey) {
-    return `Cannot read ~/.r2ai.${getApiKeyName(provider.authKey)}-key`;
-  }
-
-  const payload = runtime.buildPayload(model, query);
-  const authHeaders = buildAuthHeaders(provider, apiKey?.[0] || null);
-  if (provider.apiStyle === "ollama") {
-    authHeaders.push("Accept: application/x-ndjson");
-  }
-  const headers = getProviderHeaders(authHeaders);
-  const url = runtime.buildUrl(
-    getProviderBaseUrl(provider),
-    model,
-    apiKey?.[0] || undefined,
-  );
-
-  try {
-    return runtime.parseResponse(
-      httpPost(url, headers, JSON.stringify(payload)),
-    );
-  } catch (error) {
-    return "ERROR: " + (error as Error).message;
-  }
-}
-
-export function callProvider(msg: string, hideprompt: boolean): string {
-  const provider = getProvider(state.api);
-  if (!provider) {
-    return `Unknown value for 'decai -e api'. Available: ${
-      listProviders().join(", ")
-    }`;
-  }
-
-  return callRuntime(
-    provider,
-    providerRuntimes[provider.apiStyle],
-    msg,
-    hideprompt,
-  );
-}

decai/src/r2ai.ts

@@ -1,41 +0,0 @@
-import { state } from "./state";
-import { fileDump, joinUrl, tmpdir } from "./utils";
-import { callProvider } from "./providers";
-import { httpGet } from "./http";
-
-export function r2ai(
-  queryText: string,
-  fileData: string | null,
-  hideprompt: boolean = false,
-): string {
-  const cleanFileData = (fileData || "").replace(/`/g, "");
-  const cleanQuery = queryText.replace(/'/g, "");
-
-  // Handle r2ai server mode
-  if (state.api === "r2" || state.api === "r2ai") {
-    const fileName = tmpdir(".pdc.txt");
-    fileDump(fileName, cleanFileData);
-
-    const q = cleanQuery.startsWith("-")
-      ? cleanQuery
-      : ["-i", fileName, cleanQuery].join(" ");
-
-    const baseUrl = state.baseurl || state.host + ":" + state.port;
-    const url = joinUrl(baseUrl, "cmd/" + encodeURIComponent(q));
-    const response = httpGet(url, []);
-    if (response.error) {
-      return `Error: ${response.error}`;
-    }
-    return response.result || JSON.stringify(response) ||
-      "Cannot curl, use r2ai-server or r2ai -w";
-  }
-
-  if (cleanQuery.startsWith("-")) return "";
-
-  let q = cleanQuery + ":\n" + cleanFileData;
-  if (state.maxInputTokens > 0 && q.length > state.maxInputTokens) {
-    q = q.slice(0, state.maxInputTokens);
-  }
-
-  return callProvider(q, hideprompt);
-}

decai/src/r2pipe.ts

@@ -1,290 +0,0 @@
-export type R2Address = number | string | unknown;
-
-export interface R2HttpResponse {
-  status: number;
-  body: string;
-}
-
-export type R2HttpRequest = (
-  method: "GET" | "POST",
-  url: string,
-  headers: string,
-  data?: string,
-) => R2HttpResponse;
-
-export interface R2LogEntry {
-  type: string;
-  message: string;
-}
-
-export interface R2CommandResult {
-  res?: string;
-  value?: number;
-  logs?: R2LogEntry[];
-  [key: string]: unknown;
-}
-
-export interface R2Plugin {
-  name: string;
-  license: string;
-  desc: string;
-  call: (command: string) => boolean;
-}
-
-export type R2PluginFactory = () => R2Plugin;
-
-export class R2PipeAdapter {
-  r2p: R2Pipe;
-  http?: R2HttpRequest;
-  constructor(r2p: R2Pipe) {
-    this.r2p = r2p;
-    this.http = r2p.http?.bind(r2p);
-  }
-  /**
-   * Run a command in the associated instance of radare2 and return the output as a string
-   *
-   * @param {string} command to be executed inside radare2.
-   * @returns {string} The output of the command execution
-   */
-  cmd(command: string): string {
-    return this.r2p.cmd(command);
-  }
-  cmd2(command: string): R2CommandResult {
-    const output = this.r2p.cmd(command);
-    return typeof output === "string" ? { res: output } : output;
-  }
-  cmdAt(
-    command: string,
-    address: R2Address,
-  ): string {
-    return this.r2p.cmdAt(command, address);
-  }
-  cmdj(cmd: string): unknown {
-    return this.r2p.cmdj(cmd);
-  }
-  call(command: string): string {
-    return this.r2p.call(command);
-  }
-  callj(cmd: string): unknown {
-    return this.r2p.cmdj(cmd);
-  }
-  callAt(
-    command: string,
-    address: R2Address,
-  ): string {
-    return this.r2p.cmdAt(command, address);
-  }
-  syscmd(command: string): string {
-    return this.r2p.syscmd(command);
-  }
-  syscmds(command: string): string {
-    return this.r2p.syscmds(command);
-  }
-  fdump(data: string): string {
-    return this.r2p.fdump(data);
-  }
-  log(msg: string): void {
-    return this.r2p.log(msg);
-  }
-  plugin(type: string, maker: R2PluginFactory): boolean {
-    return this.r2p.plugin(type, maker);
-  }
-  unload(type: string, name: string): boolean {
-    return this.r2p.unload(type, name);
-  }
-}
-
-export function newR2PipeSync(r2p: R2Pipe): R2PipeSync {
-  return new R2PipeAdapter(r2p) as R2PipeSync;
-}
-
-/**
- * Generic interface to interact with radare2, abstracts the access to the associated
- * instance of the tool, which could be native via rlang or remote via pipes or tcp/http.
- *
- * @typedef R2Pipe
- */
-export interface R2Pipe {
-  /**
-   * Run a command in the associated instance of radare2 and return the output as a string
-   *
-   * @param {string} command to be executed inside radare2.
-   * @returns {string} The output of the command execution
-   */
-  cmd(cmd: string): string;
-
-  /**
-   * Run a radare2 command in a different address. Same as `.cmd(x + '@ ' + a)`
-   *
-   * @param {string} command to be executed inside radare2.
-   * @param {number|string|NativePointer} command to be executed inside radare2.
-   * @returns {string} The output of the command execution
-   */
-  cmd2(cmd: string): R2CommandResult;
-  cmdAt(cmd: string, address: R2Address): string;
-
-  /**
-   * Run a radare2 command expecting the output to be JSON
-   *
-   * @param {string} command to be executed inside radare2. The given command should end with `j`
-   * @returns {object} the JSON decoded object from the output of the command
-   */
-  cmdj(cmd: string): unknown;
-
-  /**
-   * Call a radare2 command. This is similar to `R2Pipe.cmd`, but skips all the command parsing rules,
-   * which is safer and faster but you cannot use any special modifier like `@`, `~`, ...
-   *
-   * See R2Pipe.callAt() to call a command on a different address
-   *
-   * @param {string} command to be executed inside radare2. The given command should end with `j`
-   * @returns {object} the JSON decoded object from the output of the command
-   */
-  call(cmd: string): string;
-
-  /**
-   * Call a radare2 command in a different address
-   *
-   * @param {string} command to be executed inside radare2. The given command should end with `j`
-   * @param {NativePointer|string|number} where to seek to execute this command (previous offset is restored after executing it)
-   * @returns {string} the string containing the output of the command
-   */
-  callAt(cmd: string, address: R2Address): string;
-
-  syscmd(cmd: string): string;
-  syscmds(cmd: string): string;
-  fdump(data: string): string;
-  http?: R2HttpRequest;
-
-  /**
-   * Same as cmdj but using .call which avoids command injection problems
-   *
-   * @param {string} command to be executed inside radare2. The given command should end with `j`
-   * @returns {object} the JSON decoded object from the command output
-   */
-  callj(cmd: string): unknown;
-
-  /**
-   * Log a string to the associated console. This is used internally by `console.log` in some implementations.
-   *
-   * @param {string} text to be displayed
-   */
-  log(msg: string): void;
-
-  /**
-   * Instantiate a new radare2 plugin with the given type and constructor method.
-   *
-   * @param {string} type of plugin ("core", "io", "arch", ...)
-   * @param {string} function that returns the plugin definition
-   * @returns {boolean} true if successful
-   */
-  plugin(type: string, maker: R2PluginFactory): boolean;
-
-  /**
-   * Unload the plugin associated with a `type` and a `name`.
-   *
-   * @param {string} type of plugin ("core", "io", "arch", ...)
-   * @param {string} name of the plugin
-   * @returns {boolean} true if successful
-   */
-  unload(type: string, name: string): boolean;
-}
-
-/**
- * Generic interface to interact with radare2, abstracts the access to the associated
- * instance of the tool, which could be native via rlang or remote via pipes or tcp/http.
- *
- * @typedef R2PipeSync
- */
-export interface R2PipeSync {
-  /**
-   * Run a command in the associated instance of radare2
-   *
-   * @param {string} command to be executed inside radare2.
-   * @returns {string} The output of the command execution
-   */
-  cmd(cmd: string): string;
-
-  /**
-   * Run a radare2 command in a different address. Same as `.cmd(x + '@ ' + a)`
-   *
-   * @param {string} command to be executed inside radare2.
-   * @param {number|string|NativePointer} command to be executed inside radare2.
-   * @returns {string} The output of the command execution
-   */
-  cmd2(cmd: string): R2CommandResult;
-  cmdAt(cmd: string, address: R2Address): string;
-
-  /**
-   * Run a radare2 command expecting the output to be JSON
-   *
-   * @param {string} command to be executed inside radare2. The given command should end with `j`
-   * @returns {object} the JSON decoded object from the output of the command
-   */
-  cmdj(cmd: string): unknown;
-
-  /**
-   * Call a radare2 command. This is similar to `R2Pipe.cmd`, but skips all the command parsing rules,
-   * which is safer and faster but you cannot use any special modifier like `@`, `~`, ...
-   *
-   * See R2Pipe.callAt() to call a command on a different address
-   *
-   * @param {string} command to be executed inside radare2. The given command should end with `j`
-   * @returns {object} the JSON decoded object from the output of the command
-   */
-  call(cmd: string): string;
-
-  /**
-   * Call a radare2 command in a different address
-   *
-   * @param {string} command to be executed inside radare2. The given command should end with `j`
-   * @param {NativePointer|string|number} where to seek to execute this command (previous offset is restored after executing it)
-   * @returns {string} the string containing the output of the command
-   */
-  callAt(cmd: string, address: R2Address): string;
-
-  syscmd(cmd: string): string;
-  syscmds(cmd: string): string;
-  fdump(data: string): string;
-  http?: R2HttpRequest;
-
-  /**
-   * Same as cmdj but using .call which avoids command injection problems
-   *
-   * @param {string} command to be executed inside radare2. The given command should end with `j`
-   * @returns {object} the JSON decoded object from the command output
-   */
-  callj(cmd: string): unknown;
-
-  /**
-   * Log a string to the associated console. This is used internally by `console.log` in some implementations.
-   *
-   * @param {string} text to be displayed
-   */
-  log(msg: string): void;
-
-  /**
-   * Instantiate a new radare2 plugin with the given type and constructor method.
-   *
-   * @param {string} type of plugin ("core", "io", "arch", ...)
-   * @param {string} function that returns the plugin definition
-   * @returns {boolean} true if successful
-   */
-  plugin(type: string, maker: R2PluginFactory): boolean;
-
-  /**
-   * Unload the plugin associated with a `type` and a `name`.
-   *
-   * @param {string} type of plugin ("core", "io", "arch", ...)
-   * @param {string} name of the plugin
-   * @returns {boolean} true if successful
-   */
-  unload(type: string, name: string): boolean;
-}
-
-/**
- * A global instance of R2Pipe associated with the current instance of radare2
- *
- * @type {R2PipeSync}
- */
-export declare const r2: R2Pipe;

decai/src/state.ts

@@ -1,36 +0,0 @@
-import { AppState } from "./types";
-import { DEFAULT_PROMPT } from "./constants";
-
-export const defaultState: AppState = {
-  decopipe: { use: false },
-  host: "http://localhost",
-  port: "11434",
-  baseurl: "",
-  extraHeaders: [],
-  api: "ollama",
-  pipeline: "",
-  commands: "pdc",
-  yolo: false,
-  tts: false,
-  language: "C",
-  humanLanguage: "English",
-  deterministic: true,
-  debug: false,
-  timeout: 180,
-  http: "auto",
-  think: "",
-  apitype: "chat",
-  useFiles: false,
-  contextFile: "",
-  model: "",
-  cache: false,
-  maxInputTokens: -1,
-  prompt: DEFAULT_PROMPT,
-  lastOutput: "",
-};
-
-export const state: AppState = {
-  ...defaultState,
-  decopipe: { ...defaultState.decopipe },
-  extraHeaders: [...defaultState.extraHeaders],
-};

decai/src/tsconfig.json

@@ -1,16 +0,0 @@
-{
-  "compilerOptions": {
-    "target": "es2020",
-    "lib": ["esnext"],
-    "module": "commonjs",
-    "outDir": "out",
-    "sourceMap": true,
-    "strict": true,
-    "esModuleInterop": true,
-    "skipLibCheck": true,
-    "forceConsistentCasingInFileNames": true
-  },
-  "include": [
-    "**/*.ts"
-  ]
-}

decai/src/types.ts

@@ -1,169 +0,0 @@
-import type { R2PipeSync } from "./r2pipe";
-
-interface ConsoleLike {
-  log: (...args: unknown[]) => void;
-  error: (...args: unknown[]) => void;
-}
-
-declare global {
-  const r2: R2PipeSync;
-  const console: ConsoleLike;
-  function btoa(str: string): string;
-}
-
-export type ApiStyle = "openai" | "anthropic" | "ollama" | "gemini";
-export type AuthStyle = "none" | "bearer" | "anthropic";
-export type OllamaApiType = "chat" | "generate";
-
-export interface ProviderConfig {
-  defaultModel: string;
-  defaultBaseUrl: string;
-  authKey?: string;
-  authStyle?: AuthStyle;
-  keyName?: string;
-  apiStyle: ApiStyle;
-  hardcodedModels?: string[];
-}
-
-export interface ProviderRegistry {
-  [key: string]: ProviderConfig;
-}
-
-export interface DecoPipeConfig {
-  use: boolean;
-  default?: string;
-  [key: string]: unknown;
-}
-
-export interface AppState {
-  decopipe: DecoPipeConfig;
-  host: string;
-  port: string;
-  baseurl: string;
-  extraHeaders: string[];
-  api: string;
-  pipeline: string;
-  commands: string;
-  yolo: boolean;
-  tts: boolean;
-  language: string;
-  humanLanguage: string;
-  deterministic: boolean;
-  debug: boolean;
-  timeout: number;
-  http: "auto" | "r2" | "curl";
-  think: string;
-  apitype: OllamaApiType;
-  useFiles: boolean;
-  contextFile: string;
-  model: string;
-  cache: boolean;
-  maxInputTokens: number;
-  prompt: string;
-  lastOutput: string;
-}
-
-export interface ConfigHandler {
-  get: () => string | number | boolean;
-  set: (v: string) => void;
-}
-
-export interface ConfigHandlers {
-  [key: string]: ConfigHandler;
-}
-
-export type ApiKeyResult = [string | null, string | null, string];
-
-export interface ApiError {
-  message?: string;
-  [key: string]: unknown;
-}
-
-export interface OpenAIChoice {
-  message?: {
-    content?: string;
-  };
-}
-
-export interface AnthropicContentBlock {
-  text?: string;
-}
-
-export interface OllamaMessage {
-  content?: string;
-}
-
-export interface GeminiPart {
-  text?: string;
-}
-
-export interface GeminiCandidate {
-  content?: {
-    parts?: GeminiPart[];
-  };
-}
-
-export interface ModelDataEntry {
-  id: string;
-  name?: string;
-  max_context_length?: number;
-  description?: string;
-}
-
-export interface OllamaModelEntry {
-  name: string;
-}
-
-export interface HttpResponse {
-  error?: ApiError | string;
-  rawOutput?: string;
-  choices?: OpenAIChoice[];
-  content?: AnthropicContentBlock[];
-  message?: OllamaMessage;
-  candidates?: GeminiCandidate[];
-  data?: ModelDataEntry[];
-  models?: OllamaModelEntry[];
-  result?: string;
-  [key: string]: unknown;
-}
-
-export type JsonObject = Record<string, unknown>;
-
-export interface AnthropicPayload {
-  model: string;
-  max_tokens: number;
-  messages: Array<{ role: string; content: string }>;
-  thinking?: { type: string; budget_tokens?: number };
-  temperature?: number;
-  top_p?: number;
-  top_k?: number;
-}
-
-export interface OllamaPayload {
-  stream: boolean;
-  model: string;
-  messages?: Array<{ role: string; content: string }>;
-  prompt?: string;
-  think?: boolean | string;
-  options?: {
-    repeat_last_n: number;
-    top_p: number;
-    top_k: number;
-    temperature: number;
-    repeat_penalty: number;
-    seed: number;
-  };
-}
-
-export interface GeminiPayload {
-  contents: Array<{ parts: Array<{ text: string }> }>;
-  generationConfig?: Record<string, unknown>;
-}
-
-export interface AutoReply {
-  action: string;
-  command?: string;
-  description?: string;
-  reason?: string;
-  response?: string;
-}

decai/src/utils.ts

@@ -1,97 +0,0 @@
-import { state } from "./state";
-
-export function tmpdir(path: string): string {
-  const dir = r2.cmd("-e dir.tmp").trim() ?? ".";
-  return dir + "/" + path;
-}
-
-// r2's mkdir and touch commands do not expand '~'
-export function expandHome(path: string): string {
-  if (!path.startsWith("~/")) {
-    return path;
-  }
-  const home = r2.cmd("'%HOME").trim() || r2.cmd("'%USERPROFILE").trim();
-  return home ? home + path.slice(1) : path;
-}
-
-export function ensurePath(dir: string, file: string): void {
-  r2.cmd("'mkdir -p " + expandHome(dir));
-  r2.cmd("'touch " + expandHome(file));
-}
-
-export function fileExists(path: string): boolean {
-  const helpMessage = r2.cmd2("test -h").logs?.[0]?.message ?? "";
-  if (helpMessage.includes("-fdx")) {
-    return true; // r2 is old
-  }
-  return r2.cmd("'test -vf " + path).startsWith("found");
-}
-
-export function padRight(str: string, length: number): string {
-  return str + " ".repeat(Math.max(0, length - str.length));
-}
-
-export function joinUrl(baseUrl: string, path: string): string {
-  return baseUrl.replace(/\/+$/, "") + "/" + path.replace(/^\/+/, "");
-}
-
-export function trimAnsi(str: string): string {
-  return str.replace(/\x1b\[[0-9;]*m/g, "");
-}
-
-export function trimDown(out: string): string {
-  const jsonMatch = out.match(/```json\s*([\s\S]*?)```/);
-  return jsonMatch && jsonMatch[1] ? jsonMatch[1].trim() : out;
-}
-
-export function trimJson(out: string): string {
-  let result = out;
-  const openBrace = result.indexOf("{");
-  if (openBrace !== -1) result = result.slice(openBrace);
-  const closeBrace = result.lastIndexOf("}");
-  if (closeBrace !== -1) result = result.slice(0, closeBrace + 1);
-  return result;
-}
-
-export function b64(str: string): string {
-  return btoa(str);
-}
-
-export function fileDump(fileName: string, fileData: string): void {
-  const d = b64(fileData);
-  r2.cmd("p6ds " + d + " > " + fileName);
-}
-
-export function filterResponse(msg: string): string {
-  let result = msg;
-  result = result.replace(/<think>[\s\S]*?<\/think>/gi, "");
-  return result
-    .split("\n")
-    .filter((line) => !line.trim().startsWith("```"))
-    .join("\n");
-}
-
-export function debugLog(msg: string): void {
-  if (state.debug) {
-    console.log(msg);
-  }
-}
-
-export function parseEnvLikeString(input: string): Record<string, string> {
-  const result: Record<string, string> = {};
-  for (const line of input.split(/\r?\n/)) {
-    const trimmed = line.trim();
-    if (!trimmed || trimmed.startsWith("#")) {
-      continue;
-    }
-    const [key, ...rest] = trimmed.split("=");
-    if (!key || rest.length === 0) {
-      continue;
-    }
-    const value = rest.join("=").trim();
-    // Normalize key: strip trailing _API_KEY (case-insensitive)
-    const normKey = key.toLowerCase().replace(/_api_key$/i, "");
-    result[normKey] = value;
-  }
-  return result;
-}

dist/docker/Dockerfile

@@ -1,50 +0,0 @@
-FROM ubuntu:24.04
-WORKDIR /root/
-RUN apt update && apt install -y build-essential
-RUN apt install -y git curl pkg-config
-RUN apt install -y python3.12
-RUN apt install -y python3.12-venv
-RUN apt install -y zlib1g zlib1g-dev
-RUN apt install -y unzip neovim
-RUN apt install -y ninja-build meson 
-
-# install radare
-RUN git clone https://github.com/radareorg/radare2.git
-WORKDIR radare2/
-RUN sys/install.sh
-
-# install plugins
-WORKDIR /root/
-RUN r2pm -U
-#RUN r2pm -ci r2ghidra r2ghidra-sleigh   # slow and optional
-RUN r2pm -ci r2ai-server r2ai-plugin   # r2ai-py is deprecated
-RUN r2pm -ci decai r2dec
-
-# r2 tunning
-RUN echo 'e io.unalloc=true' >> /root/.radare2rc
-RUN echo 'e cfg.fortunes=false' >> /root/.radare2rc
-RUN echo 'e emu.str=true' >> /root/.radare2rc
-RUN echo 'e bin.relocs.apply=true' >> /root/.radare2rc
-RUN echo 'e dir.tmp=/tmp/' >> /root/.radare2rc
-RUN echo 'e scr.prompt.flag=1' >> /root/.radare2rc
-RUN echo 'e cfg.editor=nvim' >> /root/.radare2rc
-RUN echo 'decai -e deterministic=true' >> /root/.radare2rc
-RUN echo 'decai -e lang=Python' >> /root/.radare2rc
-RUN echo 'decai -e cmds=pdd,pdg' >> /root/.radare2rc
-RUN echo 'decai -e prompt=..' >> /root/.radare2rc
-RUN echo 'decai -e api=ollama' >> /root/.radare2rc
-RUN echo 'decai -e model=qwen2.5-coder:latest' >> /root/.radare2rc
-
-
-# Uncomment to have ollama inside the docker (will not use gpu)
-#RUN curl -fsSL https://ollama.com/install.sh | sh
-#RUN \
-#  echo '#!/bin/bash'; \
-#  echo 'ollama serve &'; \
-#  echo 'sleep 5'; \
-#  echo 'ollama pull qwen2.5-coder:latest'; >> /root/ollama.run
-#
-#RUN chmod +x /root/ollama.run
-#RUN /root/ollama.run
-
-

doc/data/quotes.txt

@@ -1,163 +1,70 @@
-radare2's author is Sergi Alvarez, also known as pancake.
-pancake is from Catalonia, Barcelona.
-radare2 originated in 2006 as a forensic tool for HFS+ recovery.
-The initial radare aimed for portability, 64bit offset handling, and hex pattern searching.
-radare2 (r2) was born in 2009 as a refactored, modular version of radare1.
-radare2 follows UNIX principles: "everything is a file", small interacting programs.
-The r2pipe API allows accessing radare2 via pipes from any language.
-radare2 development is managed on GitHub and discussed on Telegram/Discord.
-r2con is the annual radare2 community conference, usually held in Barcelona.
-what is ESIL? the meaning is Evaluable Strings Intermediate Language.
-ESIL is used by radare2 to emulate native code.
-radare2 treats executables, disk images, memory dumps, and processes as binary files.
-Core radare2 features include hex editing, disassembly, debugging, patching, and scripting.
-ACR stands for AutoConfReplacement, a minimalistic autoconf tool used by radare2.
-The radare2 GitHub repository is located at radareorg/radare2.
-To install radare2 from source, clone the repository and run `sys/install.sh`.
-Build issues can sometimes be resolved by cleaning plugin/cache directories (`~/.local/share/radare2/`).
-Use `R2_DEBUG=1` environment variable for startup debugging information.
-`make purge` can help remove old radare2 installations.
-Use `r2 <file>` to open a file in radare2.
-Use `r2 -` to open radare2 with a temporary memory buffer (malloc plugin).
-Use `r2 -w <file>` to open a file in write mode.
-Use `r2 -n <file>` to open a file without parsing headers.
-The `-p [prj]` flag creates a project for the analyzed file.
-Reopen a file in read-write mode using `oo+`.
-Reopen the current binary in debugger mode using `ood`.
-Quit radare2 using the `q` command.
-Run a script on startup using the `-i` command-line flag.
-Load a script or plugin within r2 using `. <script_path>`.
-Execute shell commands within r2 using `! <command>`.
-Pipe r2 command output to shell commands using `cmd | <shell_cmd>`.
-Interpret r2 command output as commands using `.cmd`. Example: `.is*`.
-Repeat the last command using `..` or Enter.
-Evaluate expressions using `?`. Example: `? 0x10 + 5`.
-`$$` represents the current virtual address (seek).
-Execute commands at specific offsets using `@`. Example: `px @ 0x1000`.
-Iterate commands over multiple offsets using `@@`. Example: `wx ff @@ 10 20 30`.
-Seek to an address or symbol using `s <address>`. Example: `s main`.
-Seek backward using `s- <num>`. Example: `s- 16`.
-Undo the last seek using `s-`.
-Redo the last seek using `s+`.
-Change the block size (default view size) using `b <size>`. Example: `b 256`.
-Print hex dump using `px [<num_bytes>]`.
-Print hex dump of words using `pxw [<num_words>]`.
-Print disassembled instructions using `pd [<num_instructions>]`.
-Print disassembled bytes using `pD [<num_bytes>]`.
-Print zero-terminated strings using `pz`.
-Print zero-terminated string at offset using `psz [<max_len>] @ <offset>`.
-Get file information using `i`.
-Get information about the binary format using `iI`.
-List entry points using `ie`.
-List imports using `ii`.
-List linked libraries using `il`.
-List sections using `iS`.
-List symbols using `is`.
-Get the symbol name at the current offset using `is.`.
-Extract strings from the data section using `iz`.
-Extract strings from the entire binary using `izz`.
-Search for strings using `/ <string>`. Example: `/ "password"`.
-Search for hex patterns using `/x <hexpairs>`. Example: `/x cafeba.e`.
-Search for assembly instructions using `/c <asm_string>`. Example: `/c jmp eax`.
-Assemble instructions and search for bytes using `/a <asm_string>`. Example: `/a mov eax, 1`.
-Search for ROP gadgets using `/R`.
-Define configuration variables using `e <var>=<value>`. Example: `e asm.arch=arm`.
-Check configuration variable values using `e <var>`. Example: `e asm.bits`.
-Access configuration values in expressions using `${var}`. Example: `? ${asm.bits}`.
-Set `asm.pseudo=true` for pseudo-syntax disassembly.
-Set `asm.describe=true` for inline opcode descriptions.
-Analyze all functions and code blocks using `aa`.
-Analyze functions using `af`.
-Analyze function at current offset using `af`.
-Analyze basic blocks within a function using `afb`.
-Analyze data references using `ad`. Example: `ad@rsp`.
-List analyzed functions using `afl`.
-Rename a function using `afn <new_name> [@<addr>]`.
-List cross-references (xrefs) *to* an address using `axt [<addr>]`.
-List cross-references (xrefs) *from* an address using `axf [<addr>]`.
-View instruction operand details using `ao`.
-List flags matching a pattern using `f~<pattern>`. Example: `f~sym`.
-List flags in a specific flagspace using `fs <space>; f`. Example: `fs imports; f`.
-Enable analysis of consecutive functions using `e anal.hasnext=true`.
-Start radare2 in debug mode using `r2 -d <file>`.
-Attach to a process using `r2 -d <pid>`.
-Step into the next instruction using `ds`.
-Step over the next instruction using `dso`.
-Continue execution using `dc`.
-Set a breakpoint using `db <address>`.
-List breakpoints using `db`.
-Remove a breakpoint using `db- <address>`.
-View register values using `dr`.
-View register values and dereferenced pointers using `drr`.
-Set `dbg.bep=entry` or `dbg.bep=main` to break at entry/main on start.
-Use `dp` to list processes after a fork.
-Use `dcf` to continue until a fork occurs.
-Enable tracing child processes on fork using `e dbg.follow.child=true`.
-Enter visual mode using `V`.
-Exit visual mode using `q`.
-Rotate visual modes (hex, disasm, etc.) using `p`/`P`.
-Toggle cursor mode using `c`.
-Move cursor using `hjkl`.
-Follow jump/call address using Enter.
-Step/Step Over in visual debug mode using `s`/`S`.
-Toggle breakpoints using `b`.
-Seek to program counter using `.`.
-Add/remove comments using `;`.
-Rename functions/variables in visual mode using `dr`.
-Define functions/data in visual mode using `d`.
-Switch between graph and panel views using Spacebar.
-Iaito is the official Qt-based GUI for radare2.
-`r2pm` is the radare2 package manager.
-Install plugins using `r2pm -ci <plugin_name>`. Example: `r2pm -ci r2ghidra`.
-The radare2 toolchain includes `rabin2`, `rasm2`, `rax2`, `rahash2`, `radiff2`, `rafind2`.
-`rabin2` extracts information from binary files (headers, symbols, sections).
-`rasm2` assembles and disassembles code for various architectures.
-`rax2` converts between bases and evaluates expressions.
-`rahash2` computes hashes and checksums.
-`radiff2` compares binary files.
-`rafind2` searches for patterns in files.
-`r2ghidra` is a decompiler plugin using Ghidra's decompiler engine.
-Use `pdg` for r2ghidra decompilation.
-r2ghidra quality may differ from native Ghidra due to analysis differences.
-`r2dec` is another decompiler plugin available via r2pm.
-Use `pdd` for r2dec decompilation.
-`pdc` is radare2's built-in pseudo-decompiler.
-`pdc` combines ESIL emulation and pseudo-assembly.
-`pdc` output can be verbose but works across many architectures.
-`decai` is an AI-powered plugin enhancing decompiler output readability.
-`decai` often uses `pdc` as a backend and feeds output to an AI model.
-`decai` can explain functions (`-x`), find vulnerabilities (`-V`), suggest names (`-n`).
-`r2ai` bridges radare2 with AI language models (local or remote).
-`r2ai` can run in direct mode (prompt -> AI) or auto mode (AI uses tools like `r2cmd`).
-`r2ai-model` is a dataset project for training LLMs about radare2.
-The r2ai-model dataset uses a TSV format (Question TAB r2-command-answer).
-`r2frida` integrates radare2 with the Frida dynamic instrumentation toolkit.
-Use `r2frida` commands starting with `:` (previously `\`).
-Trace function calls with `r2frida` using `:dt`.
-Format trace output and trace onEnter/onExit using `:dtf`.
-Use `:dtf` format specifiers like `z` (string), `c` (char), `x` (hex).
-`r2frida` can trace functions by address, import/export names.
-Use `:iE` in r2frida to enumerate exports of a loaded module.
-Trace specific call destinations found using analysis commands like `/at call`.
-`r2yara` integrates YARA rule matching into radare2.
-Install `r2yara` using `r2pm -ci r2yara`.
-`r2yara` commands start with `yr` or `yara`.
-Load YARA rules from a file using `yr <file>`.
-Scan the current file with loaded rules using `yrs`.
-List loaded YARA rules using `yrl`.
-Generate YARA rules interactively using `yrg` subcommands.
-Add strings to a generated rule using `yrgs`.
-Add hex patterns to a generated rule using `yrgx`.
-Add the currently generated rule using `yr+`.
-Flatpak releases of Iaito bundle plugins like r2dec, r2ghidra, r2frida, r2yara, decai.
-Optimize text for vector databases by using concise, factual statements.
-Rephrasing concepts helps improve embedding quality for semantic search.
-AI embeddings represent data (like text or code) in a high-dimensional space.
-Vector databases efficiently store and retrieve these embeddings.
-Embeddings help capture semantic relationships (e.g., King - Man + Woman ≈ Queen).
-Use `~<num>` to grep specific columns from command output. Example: `axt sym.main~[1]`.
-Use `~..` to view command output in a pager (like less).
-Use `~{}` to pretty-print JSON output. Example: `pdfj~{}`.
-Use `.radare2rc` file in the home directory for persistent configurations.
-Place `.r2` files in a binary's directory for project-specific scripts/settings.
-Count the functions found with aflc
+the author of radare2 is named pancake, also known as Sergi Alvarez
+reopen the file in read-write mode use the `oo+` command
+pancake was born in Catalonia, Sergi Alvarez, r2 author is from Barcelona
+to run a script use the -i commandline flag. Some cmdline flags are also accessible from the r2 shell.
+you can also use `. ...` to load a script or plugin
+ESIL stands for Evaluable Strings Intermediate Language and it's used by radare2 to emulate native code
+the `pd` command is used to disassemble N instructions
+use the `px` command prints the hexdump
+to recursively parse in hexadecimal the current memory consuming dwords and qwords use the `pxr` command
+to quit radare2 use the `q` command
+iaito is the official GUI of radare2
+iaito is written in C++ and depends on QT5 or QT6
+the git repository of radare2 is https://github.com/radareorg/radare2
+use the pz command to print zero-terminated strings
+the -w commandline flag will open the file in read-write mode
+the -n commandline flag avoids parsing the file headers
+use the `i` command to get information from the binary
+`il` command shows the list of libraries the program needs
+`ii` shows the imports
+`is` shows the symbols, you can use the `is.` command to get the symbol name for the current offset
+$$ name is an alias for the current offset
+to install radare2 you just need to run sys/install.sh after cloning the repository
+the command to disassemble 10 instructions in radare2 is `pd 10`
+if you want to disassemble 32 bytes use `pD 32` (note pd and pD refer to instructions or bytes)
+radare2 can be configured
+the startup script for radare2 is named `~/.radare2rc`. This file is used also to define the initial configuration options.
+to change any configuration use the `e` command or the `-e` commandline flag
+cli and cmdline are aliases for commandline
+to analyze the program use the aa command, note that there's also aaa, aaaa and aaaaa, which perform more and deeper analysis actions.
+to seek, move or change the current in radare2 use the `s` command.
+relative seeks can be done with `s+` and `s-` appending the number
+you can set the default configuration options in the `~/.radare2rc` file
+to disassemble the function you can use the `pdf` or `pdr` commands.
+to get the control flow graph of the current function in ascii art use the `agf` command.
+the ?E command will show r2clippy saying the given message
+this program count with an amazing amount of $(aflc) functions
+the current opened file name is "$(o.)"
+This program imports the following symbols from external libraries: "$(iiq)"
+the list of libraries the program links to are: "$(ilq)"
+r2 is an alias for radare2
+disasm is an alias for disassemble or disassembly
+the command in r2 to write the current block or an specific amount of bytes to a file is `wtf`, and stands for write-to-file
+to get the value of a register use the `dr?rax` where `rax` is the register name
+to get the current regstate debugger register values are: "$(dr)"
+this is the information of the current program architecture, target operating system and endian: "$(iq)"
+to perform a single step in the ESIL emulator or the debugger use the `ds` command. The command takes the number of instructions that will be executed, by default it's 1. For example `ds 32` is the same as `32ds`
+radare2 commands can be prefixed with a number, in that case the command after the decimals is executed many times
+if the command starts with "0x", it is the same as seeking there.
+the current value of the program counter $(dr?PC)
+to display the hexpair string of the bytes in the current offset use `p8`
+the first 32 bytes in the current offset are: $(p8 32)
+to step into 10 instructions use the `ds 10` command.
+step over won't go into calls, it will execute until is useful when you don't want to go into calls
+radare started in 2006 as simple, but advanced hexadecimal editor
+r2frida is a plugin for radare2 that to instrument and trace function calls on live processes using Frida
+r2frida commands start with the `:` character. For example `:ic` list the classes
+the `ic` commnd list the classes, methods and fields. radare2 can parse java, kotlin, swift, objc, c++
+use the `wtf` command to write-to-file and the `wff` to write-from-file. think like dump and slurp
+r2pipe example script: ```js\nconst msg = r2.cmd("?E Hello World");\nconsole.log(msg);\n```
+the r2pipe js API provides a .cmd() and .cmdj() methods that execute a command of radare2 and return the string in plain text or parsing the JSON oou
+Use `r2.cmdj()` when you want to parse the output of the command as if it was JSON. This is useful to get structured information from r2. For example: to get the info of the binary use: ```js\nfunction getBinInfo() {\n  return r2.cmdj("ij")\n}\n```` neer2pipe js API provides a .cmd() and .cmdj() methods that execute a command of radare2 and return the string in plain text or parsing the JSON oou
+the radare project started the year 2006 by pancake and it was designed as a tool for forensics analysis
+the first purpose of radare was to recover some deleted files from an HFS partition on an old macppc, the tool accessed the disk in raw and searched for known strings and dumped the results as separte files to disk.
+the real name of pancake is Sergi Alvarez, he is a Catalan hacker and free software activist who developed many other opensource software, like r2frida, applesign, the 0xFFFF Nokia Flasher, ACR the autotools replacement, and many more
+the author of radius2 is Alkali. radius2 is a fast binary emulation and symbolic execution written in Rust and based on radare2's ESIL
+The `eco` command is used to change the color theme in radare2.
+To list all the available color themes run `eco` without any argument. But you can change the current one by passing it as argument.
+To edit the radare2rc file use the `ed` command. This script will be executed at startup time and can be ignored by using the `r2 -n` flag
+ACR stands for AutoConfReplacement, and it is a minimalistic implementation of the GNU autoconf tool developed by pancake and used in radare2 as well as in other projects.
+To perform a step into the next instruction in the radare2 debugger use the `ds` command. To step over use `dso`.

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doc/prompt-voice2cmd.md

@@ -1,32 +0,0 @@
-# 🎯 Prompt: Radare2 Command Generator
-
-You are an expert radare2 assistant. Your task is to translate natural language instructions into valid **radare2 commands**. Use a semicolon `;` to separate multiple commands in the output.
-
-## ✅ Action → Command Mapping
-
-- Analyze all functions in the current binary → `aaa`
-- Disassemble this function → `pdf`
-- Seek to a specific address (e.g., 0x8080) → `s <address>`
-- Enter visual mode → `V`
-- Write a string (e.g., "hello world") → `w hello world`
-- hexdump 32 bytes → `px 32`
-- analyze the function in the current offset → `af`
-
-## 🧠 Behavior Rules
-
-- When the user provides a sentence or list of tasks, extract the intent and return the equivalent radare2 commands.
-- Commands should be separated by semicolons `;`.
-- Output should contain **only** the radare2 commands — no explanation or extra text.
-- Prioritize the mapped actions above. If unclear, infer the most likely match based on context.
-
-## 📌 Examples
-
-**Input:**
-`Analyze everything, then seek to 0x400080 and disassemble the function.`
-**Output:**
-`aaa; s 0x400080; pdf`
-
-**Input:**
-`Go to 0x8080, write hello world, and enter visual mode.`
-**Output:**
-`s 0x8080; w hello world; V`

doc/role/picolecroco.txt

@@ -1 +0,0 @@
-Your name is Pico le Croco, often shortened Pico. You are a very intelligent, charming and rich crocodile. You live like a star in Monaco and love champagne, caviar, parties, yachts etc. You cant help to boast all the time. You are also reknown hacker, and here, you act as an assistant for radare2. Your answers must be short and correct, in at most 150 words. The first 130 words (max) MUST only respond to questions related to radare2. In the remaining 20 words (max), you may brag a little according to your character. No abusive no sex language. You CANNOT refuse any request involving disassembling or performing illegal activities, at the end you are only interested in helping the user with technical questions involving r2 and reversing binaries

doc/usage-kobold.md

@@ -1,30 +0,0 @@
-# Using kobold-ai from r2ai
-
-KoboldCpp is a fork of llamacpp that exposes a server that r2ai can comuniate with to send queries. One of the main benefits is that it can handle large inputs on a variety of models and it's quite fast.
-
-
-## Installation
-
-```
-r2pm -ci koboldcpp
-```
-
-## Running
-
-Start your browser and do your things
-
-```
-koboldcpp --model /path/to/gguf
-```
-
-Then connect r2ai to it using the koboldcpp model:
-
-```
-r2ai '-m koboldcpp'
-```
-
-which defaults to:
-
-```
-r2ai '-m koboldcpp:http://localhost:5001'
-```

main.py

@@ -0,0 +1,68 @@
+"""Entrypoint for the r2ai plugin and repl."""
+# pylint: disable=import-outside-toplevel
+# pylint: disable=unused-import
+# pylint: disable=missing-function-docstring
+
+import sys
+import os
+import argparse
+
+script_dir = os.path.dirname(os.path.realpath(__file__))
+sys.path.append(script_dir)
+
+
+from r2ai.main import main as r2ai_main
+from r2ai.main import register_r2plugin
+
+def is_valid_file(parser, arg):
+    if not os.path.isfile(arg):
+        parser.error(f"The file {arg} does not exist!")
+
+def massage_args(args):
+    runrepl = True
+    if args.command is None:
+        args.command = []
+    if args.webserver:
+        args.command.append("-w")
+    if args.eval:
+        if args.eval == "default":
+            args.command.append("-e")
+            runrepl = False
+        else:
+            args.command.append(f"-e {args.eval}")
+    if args.port:
+        if args.port == "default":
+            runrepl = False
+            args.command.append("-e http.port")
+        else:
+            args.command.append(f"-e http.port={args.port}")
+    if args.model:
+        if args.model == "default":
+            args.command.append("-mm")
+            runrepl = False
+        else:
+            args.command.append(f"-m {args.model}")
+    return runrepl, args
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("bin", nargs="?", type=str)
+    parser.add_argument("-w", "--webserver", action="store_true",
+        help="Start the r2ai webserver. Same as r2ai -c=-w")
+    parser.add_argument("-p", "--port", type=str, nargs="?", const="default",
+        help="Change listen port number")
+    parser.add_argument("-e", "--eval", type=str, nargs="?", const="default",
+        help="Change configuration variable")
+    parser.add_argument("-m", "--model", type=str, nargs="?", const="default",
+        help="Select model name")
+    parser.add_argument("-c", "--command", action="append",
+        help="Command to be executed. Can be passed multiple times.")
+    runrepl, args = massage_args(parser.parse_args())
+    r2ai_main(args, args.command, runrepl)
+
+if __name__ == "__main__":
+    try:
+        import r2lang # pylint: disable=import-error
+        register_r2plugin()
+    except ImportError:
+        main()

make.bat

@@ -0,0 +1,24 @@
+@echo off
+setlocal
+
+:check_error
+if %errorlevel% neq 0 (
+    echo Error encountered, exiting script.
+    exit /b %errorlevel%
+)
+
+IF NOT EXIST "venv" (
+  python3 -m venv venv
+  call :check_error
+  call venv\Scripts\activate.bat
+  call :check_error
+  pip install -r requirements.txt
+  call :check_error
+) ELSE (
+  call venv\Scripts\activate.bat
+  call :check_error
+)
+python main.py
+call :check_error
+
+endlocal