Compare commits

...
84 Commits
Author SHA1 Message Date
pancake 6f8ec21a39 Release 1.3.2 2026-03-19 14:47:39 +01:00
pancake 3db0744c91 Fix shell injection in curl command construction 2026-03-07 12:20:28 +01:00
pancake 3306e412e2 rawtools: require explicit TOOL prefix for tool execution 2026-03-07 12:20:13 +01:00
pancake 20f5e16164 fix: detect multiline after adding command annotations 2026-03-07 12:20:03 +01:00
pancake 660249a31f Fix double free and refactor the complex logic into a separate function 2026-03-06 17:03:30 +01:00
Nitan Alexandru Marcel 312921c2a1 Add r2agent reference in the README 2026-02-08 23:32:54 +01:00
pancake 2356dbef9e Release 1.3.0 2026-01-04 19:17:05 +01:00
pancake 7612a80a9c Warn about invalid syntax/lines in apikeys.txt 2025-12-10 20:05:55 +01:00
pancake 12d8bc9e22 Strip "_API_KEY" from providers in apikeys.txt 2025-12-10 20:03:25 +01:00
pancake d4be5f8569 Add .pkgname for the r2ai plugin 2025-12-10 01:01:45 +01:00
pancake a9333c8c38 Only one function doing curl and remove aliased providers in decai 2025-12-06 12:36:04 +01:00
pancake 29bdb2fcea Remove the hardcoded model names for providers with callback 2025-12-05 17:48:42 +01:00
pancake 078376c5d2 Refactor the model listing code in decai 2025-12-05 17:30:11 +01:00
pancake aa24702335 Refactor the providers logic in decai 2025-12-05 17:05:18 +01:00
pancake 9aa40216a2 Initial rewrite of decai in TypeScript 2025-12-05 16:44:09 +01:00
pancake 96e454e0c6 Fix tool calling message construction bug 2025-11-27 11:07:16 +01:00
pancake 219b034261 Don't feed system messages to Anthropic 2025-11-21 21:23:24 +01:00
pancake 797c967fb0 Remove redudant provider fields 2025-11-11 16:21:55 +01:00
pancake e61b7db8a5 Fix #219 - Add deepseek provider for r2ai.c 2025-11-11 16:03:10 +01:00
pancake 3a39f9cd9d Add decai -b to setup the baseurl 2025-11-07 00:25:59 +01:00
pancake 2b5e50d8f0 Workaround MANDIR for old r2 2025-11-06 16:36:45 +01:00
pancake bb737f5be6 Add decai -K to edit apikeys (requires latest r2 from git) 2025-11-06 16:33:05 +01:00
pancake 3e5f91e631 Load decai apikeys from ~/.config/r2ai/apikeys.txt 2025-11-06 14:19:11 +01:00
pancake a3154bdcaf Simplify and fix the gemini support in decai 2025-11-06 14:10:19 +01:00
pancake a6be6e6555 Add decai -p to select provider 2025-11-06 14:01:53 +01:00
pancake ad0bdbb902 Fix res error in gemini for decai 2025-11-06 13:44:55 +01:00
pancake 4651d3b1b3 Update the README 2025-11-05 17:40:51 +01:00
pancake 572e02c4ec Change symbol visibility to please Windows builds 2025-11-05 17:18:50 +01:00
pancake 75c787ef41 Fix the meson build 2025-11-05 12:52:25 +01:00
pancake 731f1933a9 Refactor the apikeys code into a separate file and use sample config key by default 2025-11-05 12:43:15 +01:00
pancake 573755ccef Add -e to r2ai main 2025-11-01 21:30:12 +01:00
pancake ecca7825fe Add r2ai -i to run scripts 2025-10-31 20:15:32 +01:00
pancake 95117608fb Small improvements for the clippy repl 2025-10-31 20:13:30 +01:00
pancake b3958b5f7d Initial clippy repl for the r2ai cli tool 2025-10-31 19:45:12 +01:00
pancake d0eaf37764 Fix -m? reported crash 2025-10-31 16:34:49 +01:00
pancake 65692edd54 Bring back the support for Gemini provider to r2ai.c 2025-10-30 20:08:33 +01:00
pancake 50f55bb5d2 Add r2ai -K to edit api keys and remove the unnecessary compatdb 2025-10-29 22:21:33 +01:00
pancake fe1768fcc3 Fix apikey error message 2025-10-29 16:50:30 +01:00
pancake f241fba17d Add WIP decai logo 2025-10-29 10:45:55 +01:00
pancake e5252960e0 Implement r2ai.auto.slim to make disasm slimmier for auto 2025-10-29 10:45:21 +01:00
pancake 8a45dadbde Rename r2ai.auto.hide_tool_output to r2ai.auto.verbose 2025-10-29 10:34:31 +01:00
pancake 53d32efbbe Deprecate r2ai.chat.show_cost 2025-10-29 10:28:48 +01:00
pancake f06faba9d6 Release 1.2.6 2025-10-29 00:02:52 +01:00
pancake 8b52c2f6e2 Fix ninja build 2025-10-28 23:55:39 +01:00
pancake b37436fb8d Fix more warnings 2025-10-28 23:41:45 +01:00
pancake 2524e66825 Fix warning unused variable 2025-10-28 23:35:41 +01:00
pancake 519017a75e Fix editing r2js scripts in auto mode 2025-10-28 23:34:05 +01:00
pancake 6f30d6ca37 Handle comments in commands in all the auto calls 2025-10-28 20:49:24 +01:00
pancake 08ea4d11b2 Better last call 2025-10-28 19:51:22 +01:00
pancake 0281308434 Fix the build 2025-10-28 19:42:11 +01:00
pancake 17a59d2057 Add r2ai.debug to see the llm requests and responses 2025-10-28 19:37:01 +01:00
pancake eac0b8c6ef Prompt before leaving the interrupted auto mode 2025-10-28 19:30:11 +01:00
pancake 24aee426b4 Comments in commands are now used as annotations for the conversation 2025-10-28 19:28:05 +01:00
pancake b31bc5c116 Suggested simpler auto prompt 2025-10-28 19:24:40 +01:00
pancake 01738210f5 Increase timeout to 4 minutes 2025-10-28 19:13:05 +01:00
pancake 7b19c4ff99 Resizing the terminal is no longer interrupting the network calls 2025-10-28 19:10:50 +01:00
pancake 1986dd88bd r2ai needs an argument to work 2025-10-28 12:57:20 +01:00
pancake 1ed40401dd Implement r2ai -C to compact the message log 2025-10-28 12:55:46 +01:00
pancake 6ac0ff6352 Add compact prompt 2025-10-28 12:17:49 +01:00
pancake 4158e5f157 Add an option to disable the js_execute tool 2025-10-28 00:05:30 +01:00
pancake 225ff58228 Add r2ai.auto.think to disable reasoning 2025-10-28 00:03:34 +01:00
pancake a51be44c68 Improve native tool calling prompt 2025-10-28 00:00:04 +01:00
pancake 911e455f72 Only capture ONE tool call from the auto response 2025-10-27 23:40:03 +01:00
pancake 70eb975b7f Fix the set_prompt for auto mode 2025-10-27 23:21:58 +01:00
pancake a0d36cc909 Implement the -LR command to create a log report 2025-10-27 23:08:51 +01:00
pancake 030551816b Fix windows build 2025-10-27 23:08:51 +01:00
pancake 88c44c871b Fix tool calling, at least for OpenAI 2025-10-27 23:08:51 +01:00
pancake 9218e3ea27 Capture the thinking 2025-10-27 23:08:51 +01:00
pancake 6f7ffcae1a Oh great now we have a bug in the json serializer of r2 2025-10-27 23:08:51 +01:00
pancake fe12d2f8ee Add r2ai -b for the shell 2025-10-27 23:08:51 +01:00
pancake ae55b2f204 Proper use of RList -20LOC 2025-10-27 23:08:51 +01:00
pancake 7d4e949240 Use RList instead of hardcoded NEWS vectors 2025-10-27 23:08:51 +01:00
pancake 9b97d39c7a Add r2ai -b to change the baseurl 2025-10-27 19:04:16 +01:00
pancake 33f72a997e Refactorings to avoid hardcoded ansi colors. Using Color macros instead 2025-10-27 18:47:49 +01:00
pancake 36a8f13131 Use R2_CURL on Windows 2025-10-27 18:29:01 +01:00
pancake 5c2ded0171 Fix r2ai -E and loading script 2025-10-27 17:46:18 +01:00
pancake d5a39816a8 Use R2__WINDOWS__ instead of defined(_WIN32) 2025-10-27 13:02:36 +01:00
pancake 5aab38ab76 Proper command escapes for curl and pwsh http backends 2025-10-27 13:00:35 +01:00
pancake 9f15ec6c73 Release 1.2.4 2025-10-26 15:04:03 +01:00
pancake 68baac9911 Transform all promptfiles into the new md format 2025-10-26 15:02:48 +01:00
pancake 54a280952e Load API keys from ~/.config/r2ai/apikeys.txt too 2025-10-26 14:46:20 +01:00
pancake efc2368af1 Move the examples into the attic 2025-10-26 14:31:46 +01:00
pancake 28ddcbf638 Refactor and cleanup the http.backend implementations 2025-10-26 14:04:58 +01:00
pancake 85e9ed5c65 Do not accept invalid values in r2ai.http.backend 2025-10-25 19:56:10 +02:00
104 changed files with 4901 additions and 3668 deletions

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+16 -9
View File
@@ -27,6 +27,9 @@ 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)
## Features
* Configure different roles and customize prompts
@@ -67,28 +70,32 @@ $ r2pm -Uci decai
- 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 files in your home:
Drop your API keys in environment variables or use the configuration file:
```console
$ cat ~/.r2ai.anthropic-key
sk-ant-api03-CENSORED
$ export ANTHROPIC_API_KEY=sk-ant-api03-CENSORED
$ export OPENAI_API_KEY=sk-proj-6rlSPS-zN1v...
```
| AI | API key |
| --------- | -------------------------- |
| OpenAI | `$HOME/.r2ai.openai-key` |
| Gemini | `$HOME/.r2ai.gemini-key` |
| Anthropic | `$HOME/.r2ai.anthropic-key` |
| Mistral | `$HOME/.r2ai.mistral-key` |
Or edit the api keys file `~/.config/r2ai/apikeys.txt` run:
```console
$ r2ai -K
```
## Saving settings
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.
```console
$ r2ai -E
```
then you can type the commands you want to run when the r2ai plugin is loaded:
```console
r2ai -e api=anthropic
r2ai -e model=claude-3-7-sonnet-20250219
r2ai -e max_tokens=64000
+1 -1
View File
@@ -1 +1 @@
1.2.2
1.3.2
+2 -1
View File
@@ -1,5 +1,6 @@
#!/bin/sh
vim decai/decai.r2.js
vim decai/src/constants.ts
make -C decai/src
vim src/r2ai.h
vim src/meson.build
vim VERSION
+5 -6
View File
@@ -1,17 +1,16 @@
PD=$(shell r2 -H R2_USER_PLUGINS)
SPD=$(shell r2 -H R2_LIBR_PLUGINS)
#BF=/bin/dd
BF=a.out
BF=/bin/dd
all:
@echo "Run: make user-install"
@echo "Run: 'make user-install' to install it in your home"
@echo "Run: 'make -C src' to recompile the r2.js"
test:
@echo 'You can now use 'decai' command'
r2 -i decai.r2.js -c 'decai -e deterministic=true' -caf $(BF)
fmt indent:
deno fmt
$(MAKE) -C src fmt
user-install:
mkdir -p "$(PD)"
@@ -27,4 +26,4 @@ uninstall:
make user-uninstall PD=$(SPD)
vs open:
open -a "Visual Studio Code" .
open -a "Visual Studio Code" src
+51 -1256
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+18
View File
@@ -0,0 +1,18 @@
PLUGIN_NAME=decai
R2F_C_FLAGS=-c -S
all: build
build:
r2pm -r 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
+57
View File
@@ -0,0 +1,57 @@
import { ApiKeyResult } from "./types";
import { fileExists, parseEnvLikeString } from "./utils";
const PROVIDER_ENV_MAP: Record<string, string> = {
mistral: "MISTRAL_API_KEY",
anthropic: "ANTHROPIC_API_KEY",
huggingface: "HUGGINGFACE_API_KEY",
openai: "OPENAI_API_KEY",
gemini: "GEMINI_API_KEY",
deepseek: "DEEPSEEK_API_KEY",
xai: "XAI_API_KEY",
ollama: "OLLAMA_API_KEY",
ollamacloud: "OLLAMA_API_KEY",
};
export function getApiKey(provider: string, envvar: string): ApiKeyResult {
const keyEnv = r2.cmd("'%" + envvar).trim();
if (keyEnv.indexOf("=") === -1 && keyEnv !== "") {
return [keyEnv.trim(), null, "env"];
}
const providerLower = provider.toLowerCase();
const keysPath = "~/.config/r2ai/apikeys.txt";
if (fileExists(keysPath)) {
const keyFile = r2.cmd("'cat " + keysPath);
const kv = parseEnvLikeString(keyFile);
if (Object.keys(kv).indexOf(providerLower) !== -1) {
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 {
r2.cmd("'ed ~/.config/r2ai/apikeys.txt");
}
export function listApiKeys(): void {
Object.entries(PROVIDER_ENV_MAP).forEach(([key, env]) => {
const status = getApiKey(key, env)[2];
console.log(status, "\t", key);
});
}
export function getProviderEnvVar(provider: string): string {
return PROVIDER_ENV_MAP[provider.toLowerCase()] || "";
}
+533
View File
@@ -0,0 +1,533 @@
import { AutoReply } from "./types";
import { state } from "./state";
import { COMMAND, DEFAULT_PROMPT, HELP_TEXT, VERSION } from "./constants";
import {
b64,
debugLog,
filterResponse,
trimAnsi,
trimDown,
trimJson,
} from "./utils";
import { editApiKeys, listApiKeys } from "./apiKeys";
import { evalConfig, listAllConfig } from "./config";
import { r2ai } from "./r2ai";
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("-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 : "";
const origColor = r2.cmd("e scr.color");
try {
const parsedArgs = args.slice(2).trim();
let count = 0;
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";
}
r2.cmd("e scr.color=0");
let body = "## Before:\n";
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";
r2.cmd("e scr.color=" + origColor);
if (count === 0) {
console.error("Nothing to do.");
return;
}
let out = "";
if (state.decopipe.use) {
const dpipe = state.decopipe[state.decopipe.default as string] as {
pipeline: Array<{ model?: string; query: string }>;
globalQuery: string;
};
const origModel = state.model;
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;
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) {
r2.cmd("e scr.color=" + origColor);
const err = e as Error;
console.error(err, err.stack);
return;
}
}
export function explainFunction(): string {
const origColor = r2.cmd("e scr.color");
r2.cmd("e scr.color=0");
const hints = "[START]" +
state.commands.split(",").map((c) => r2.cmd(c)).join("\n") + "[END]";
r2.cmd("e scr.color=" + origColor);
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));
}
} 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");
}
export function handleCommand(
args: string,
mainHandler: (args: string) => boolean,
): string | undefined {
if (args === "" || !args.startsWith("-")) {
showHelp();
return;
}
let output = "";
const flag = args[1];
switch (flag) {
case "H":
console.log(HELP_TEXT.decai);
break;
case "a":
autoMode(args.slice(2).trim(), mainHandler);
break;
case "m": {
const arg0 = args.slice(2).trim();
if (arg0 === "=") {
evalConfig("model=");
} else if (arg0) {
evalConfig("model=" + arg0);
} else {
evalConfig("model");
}
break;
}
case "n":
case "f": {
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":
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 = args.slice(2).trim().split(/ /g);
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": {
const evalArg = args.slice(2).trim();
if (evalArg) {
evalConfig("api=" + evalArg);
} else {
listApiKeys();
}
break;
}
case "r": {
const prompt = args.slice(2).trim();
if (prompt) {
state.prompt = prompt;
} else {
console.log(state.prompt);
}
break;
}
case "R":
state.prompt = DEFAULT_PROMPT;
break;
case "s":
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 "k":
listApiKeys();
break;
case "b": {
const baseUrlArg = args.slice(2).trim();
if (baseUrlArg) {
evalConfig("baseurl=" + baseUrlArg);
} else {
console.log(state.baseurl);
}
break;
}
case "e": {
const evalArg = args.slice(2).trim();
if (evalArg) {
evalConfig(evalArg);
} else {
listAllConfig();
}
break;
}
case "q":
try {
output = r2ai(args.slice(2).trim(), null, true);
} catch (e) {
const err = e as Error;
console.error(err, err.stack);
}
break;
case "Q":
output = r2ai(args.slice(2).trim(), state.lastOutput, false);
break;
case "x":
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;
}
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import { ConfigHandlers } from "./types";
import { state } from "./state";
import { listModelsFor } from "./models";
import { listProviders } from "./providers";
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: {
get: () => state.deterministic,
set: (v: string) => {
state.deterministic = v === "true" || v === "1";
},
},
files: {
get: () => state.useFiles,
set: (v: string) => {
state.useFiles = v === "true";
},
},
think: {
get: () => state.think,
set: (v: string) => {
state.think = v === "true" ? 1 : v === "false" ? 0 : +v;
},
},
debug: {
get: () => state.debug,
set: (v: string) => {
state.debug = v === "true" || v === "1";
},
},
api: {
get: () => state.api,
set: (v: string) => {
if (v === "?") {
const providersList = listProviders().join("\n");
console.error(providersList);
} else {
state.api = v;
}
},
},
lang: {
get: () => state.language,
set: (v: string) => {
state.language = v;
},
},
hlang: {
get: () => state.humanLanguage,
set: (v: string) => {
state.humanLanguage = v;
},
},
cache: {
get: () => state.cache,
set: (v: string) => {
state.cache = v === "true" || v === "1";
},
},
cmds: {
get: () => state.commands,
set: (v: string) => {
state.commands = v;
},
},
tts: {
get: () => state.tts,
set: (v: string) => {
state.tts = v === "true" || v === "1";
},
},
yolo: {
get: () => state.yolo,
set: (v: string) => {
state.yolo = v === "true" || v === "1";
},
},
prompt: {
get: () => state.prompt,
set: (v: string) => {
state.prompt = v;
},
},
ctxfile: {
get: () => state.contextFile,
set: (v: string) => {
state.contextFile = v;
},
},
baseurl: {
get: () => state.baseurl,
set: (v: string) => {
state.baseurl = v;
},
},
maxtokens: {
get: () => state.maxInputTokens,
set: (v: string) => {
state.maxInputTokens = parseInt(v, 10) || -1;
},
},
};
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);
if (!configHandlers[k]) {
console.error("Unknown config key");
return;
}
if (typeof v !== "undefined") {
configHandlers[k].set(v);
} else {
console.log(configHandlers[k].get());
}
}
export function listAllConfig(): void {
Object.keys(configHandlers).forEach((key) => {
const value = configHandlers[key].get();
console.log("decai -e " + key + "=" + value);
});
}
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export const VERSION = "1.3.2";
export const COMMAND = "decai";
export const DEFAULT_PROMPT =
"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";
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 gemini hf mistral ollama openapi openai vllm xai
## 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 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
Decai will pick them from the environment or the config files in your home:
* echo KEY > ~/.r2ai.openai-key
* export OPENAI_API_KEY=...
## 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...
`,
};
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import { HttpResponse } from "./types";
import { state } from "./state";
import { debugLog } from "./utils";
interface HttpRequestOptions {
method: "GET" | "POST";
url: string;
headers: string[];
payload?: string;
}
function shellEscape(arg: string): string {
return `'${arg.replace(/'/g, `'"'"'`)}'`;
}
function executeCurl(options: HttpRequestOptions): string {
const { method, url, headers, payload } = options;
const cmdParts = ["curl", "-s", shellEscape(url)];
headers.forEach((h) => cmdParts.push("-H", shellEscape(h)));
cmdParts.push("-H", shellEscape("Content-Type: application/json"));
if (method === "POST") {
if (!payload) throw new Error("Payload required for POST requests");
const tmpfile = r2.fdump(payload);
cmdParts.push("-d", shellEscape(`@${tmpfile}`));
const cmd = cmdParts.join(" ") + " && rm " + shellEscape(tmpfile);
debugLog(cmd);
return r2.syscmds(cmd);
} else {
const cmd = cmdParts.join(" ");
debugLog(cmd);
return r2.syscmds(cmd);
}
}
function parseJson(output: string): any {
if (output === "") {
throw new Error("empty response");
}
try {
return JSON.parse(output);
} catch (e) {
const err = e as Error;
console.error("output:", output);
console.error(err, err.stack);
throw new Error(err.message || "JSON parse error");
}
}
export function httpRequest(options: HttpRequestOptions): HttpResponse {
try {
const output = executeCurl(options);
try {
return parseJson(output);
} catch (e) {
return { error: (e as Error).message };
}
} 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 });
}
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import type { R2PipeSync } from "./r2pipe";
import { COMMAND } from "./constants";
import { handleCommand } from "./commands";
function main(args: string): boolean {
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();
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import { getProvider } from "./providers";
export function listModelsFor(api: string): void {
const providerConfig = getProvider(api);
if (!providerConfig) {
console.error(`Unknown provider: ${api}`);
return;
}
try {
let models = "";
if (providerConfig.listModelsCallback) {
models = providerConfig.listModelsCallback(providerConfig);
}
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 ${api}:`, err.message);
console.log(providerConfig.defaultModel);
}
}
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import {
ApiKeyResult,
HeadersBuilder,
PayloadBuilder,
ProviderConfig,
ProviderRegistry,
ResponseParser,
UrlBuilder,
} from "./types";
import { state } from "./state";
import { filterResponse, padRight } from "./utils";
import { getApiKey } from "./apiKeys";
import { httpGet, httpPost } from "./http";
function listModels(
url: string,
headers: string[],
mapper: (model: any) => string,
): string {
const response = httpGet(url, headers);
if (response.error) {
console.error(response.error);
return "error invalid response";
}
return (response as any).data?.map(mapper).join("\n") || "";
}
const listOllamaModels = (provider: ProviderConfig): string => {
const base = state.baseurl || state.host + ":" + state.port;
return listModels(
`${base}/api/tags`,
[],
(model: { name: string }) => model.name,
);
};
const listOpenAIModels = (provider: ProviderConfig): string => {
let key: ApiKeyResult | undefined;
if (provider.requiresAuth && provider.authKey) {
key = getApiKey(
provider.authKey.split("_")[0].toLowerCase(),
provider.authKey,
);
if (key && key[1]) throw new Error(key[1]);
}
const base = state.baseurl || provider.defaultBaseurl;
const url = base + "/v1/models";
const headers = key ? ["Authorization: Bearer " + key[0]] : [];
return listModels(url, headers, (model: any) => model.id);
};
const listAnthropicModels = (provider: ProviderConfig): string => {
const key = getApiKey("anthropic", "ANTHROPIC_API_KEY");
if (key && key[1]) throw new Error(key[1]);
const base = state.baseurl || provider.defaultBaseurl;
const url = base + "/v1/models";
const headers = ["x-api-key: " + key[0], "anthropic-version: 2023-06-01"];
return listModels(url, headers, (model: any) => model.id);
};
const listMistralModels = (provider: ProviderConfig): string => {
const key = getApiKey("mistral", "MISTRAL_API_KEY");
if (key && key[1]) throw new Error(key[1]);
const base = state.baseurl || provider.defaultBaseurl;
const url = base + "/v1/models";
const headers = ["Authorization: Bearer " + key[0]];
const response = httpGet(url, headers) as any;
if (response.data) {
const uniqByName = (arr: any[]) =>
arr.filter((obj, i, self) =>
self.findIndex((o) => o.name === obj.name) === i
);
return uniqByName(response.data)
.map((model: any) =>
[
padRight(model.name || model.id, 30),
padRight("" + (model.max_context_length || ""), 10),
model.description || "",
].join(" ")
)
.join("\n");
}
return "";
};
export const providerRegistry: ProviderRegistry = {
anthropic: {
defaultModel: "claude-3-7-sonnet-20250219",
defaultBaseurl: "https://api.anthropic.com",
requiresAuth: true,
authKey: "ANTHROPIC_API_KEY",
apiStyle: "anthropic",
listModelsCallback: listAnthropicModels,
},
claude: {
defaultModel: "claude-3-7-sonnet-20250219",
defaultBaseurl: "https://api.anthropic.com",
requiresAuth: true,
authKey: "ANTHROPIC_API_KEY",
apiStyle: "anthropic",
listModelsCallback: listAnthropicModels,
},
openai: {
defaultModel: "gpt-4o-mini",
defaultBaseurl: "https://api.openai.com",
requiresAuth: true,
authKey: "OPENAI_API_KEY",
apiStyle: "openai",
listModelsCallback: listOpenAIModels,
},
ollama: {
defaultModel: "qwen2.5-coder:latest",
defaultBaseurl: "http://localhost:11434",
requiresAuth: false,
apiStyle: "ollama",
listModelsCallback: listOllamaModels,
},
ollamacloud: {
defaultModel: "gpt-oss:120b",
defaultBaseurl: "https://ollama.com",
requiresAuth: true,
authKey: "OLLAMA_API_KEY",
apiStyle: "openai",
listModelsCallback: listOpenAIModels,
},
gemini: {
defaultModel: "gemini-2.5-flash",
defaultBaseurl: "https://generativelanguage.googleapis.com",
requiresAuth: true,
authKey: "GEMINI_API_KEY",
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",
requiresAuth: true,
authKey: "MISTRAL_API_KEY",
apiStyle: "openai",
listModelsCallback: listMistralModels,
},
xai: {
defaultModel: "grok-beta",
defaultBaseurl: "https://api.x.ai",
requiresAuth: true,
authKey: "XAI_API_KEY",
apiStyle: "openai",
hardcodedModels: ["grok-2", "grok-beta"],
},
lmstudio: {
defaultModel: "local-model",
defaultBaseurl: "http://127.0.0.1:1234",
requiresAuth: false,
apiStyle: "openai",
listModelsCallback: listOpenAIModels,
},
deepseek: {
defaultModel: "deepseek-coder",
defaultBaseurl: "https://api.deepseek.com",
requiresAuth: true,
authKey: "DEEPSEEK_API_KEY",
apiStyle: "openai",
hardcodedModels: ["deepseek-coder", "deepseek-chat"],
},
};
export function getProvider(api: string): ProviderConfig | undefined {
return providerRegistry[api];
}
export function listProviders(): string[] {
return Object.keys(providerRegistry);
}
function buildQuery(msg: string, hideprompt: boolean): string {
let query = msg;
if (state.think >= 0) {
if (state.think === 0) {
query +=
' Answers directly and concisely, without showing any thinking steps or internal reasoning. Never include phrases like "Let me think".';
query += " /no_think";
} else if (state.think > 0) {
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 handleProvider(
provider: ProviderConfig,
msg: string,
hideprompt: boolean,
payloadBuilder: PayloadBuilder,
responseParser: ResponseParser,
urlBuilder: UrlBuilder,
headersBuilder: HeadersBuilder,
): string {
const model = state.model || provider.defaultModel;
const query = buildQuery(msg, hideprompt);
let key: ApiKeyResult | undefined;
if (provider.requiresAuth && provider.authKey) {
key = getApiKey(
provider.authKey.split("_")[0].toLowerCase(),
provider.authKey,
);
if (key[1]) {
return `Cannot read ~/.r2ai.${
provider.authKey.split("_")[0].toLowerCase()
}-key`;
}
}
const payload = payloadBuilder(model, query, provider);
const base = state.baseurl || provider.defaultBaseurl;
const url = urlBuilder(base, model, key && key[0] ? key[0] : undefined);
const headers = headersBuilder(key ? key[0] : null, provider);
try {
const res = httpPost(url, headers, JSON.stringify(payload));
return responseParser(res);
} catch (e) {
const err = e as Error;
return "ERROR: " + err.message;
}
}
export function handleOpenAI(
provider: ProviderConfig,
msg: string,
hideprompt: boolean,
): string {
const payloadBuilder: PayloadBuilder = (model, query) => ({
stream: false,
model,
messages: [{ role: "user", content: query }],
});
const responseParser: ResponseParser = (res) => {
if (res.error && typeof res.error === "object" && res.error.message) {
throw new Error(res.error.message);
}
if (res.choices && res.choices[0]?.message?.content) {
return filterResponse(res.choices[0].message.content);
}
throw new Error("Invalid response format");
};
const urlBuilder: UrlBuilder = (base, model) => base + "/v1/chat/completions";
const headersBuilder: HeadersBuilder = (key) =>
key ? ["Authorization: Bearer " + key] : [];
return handleProvider(
provider,
msg,
hideprompt,
payloadBuilder,
responseParser,
urlBuilder,
headersBuilder,
);
}
export function handleAnthropic(
provider: ProviderConfig,
msg: string,
hideprompt: boolean,
): string {
if (!provider.authKey) {
return "ERROR: No auth key configured";
}
const payloadBuilder: PayloadBuilder = (model, query) => {
const payload: Record<string, unknown> = {
model,
max_tokens: 5128,
messages: [{ role: "user", content: query }],
};
if (state.deterministic) {
Object.assign(payload, { temperature: 0, top_p: 0, top_k: 1 });
}
return payload;
};
const responseParser: ResponseParser = (res) => {
if (res.content && res.content[0]?.text) {
return filterResponse(res.content[0].text);
}
if (res.error) {
const errMsg = typeof res.error === "object"
? res.error.message
: res.error;
throw new Error(errMsg || "Unknown error");
}
throw new Error("Invalid response format");
};
const urlBuilder: UrlBuilder = (base, model) => base + "/v1/messages";
const headersBuilder: HeadersBuilder = (
key,
) => ["anthropic-version: 2023-06-01", "x-api-key: " + key];
return handleProvider(
provider,
msg,
hideprompt,
payloadBuilder,
responseParser,
urlBuilder,
headersBuilder,
);
}
export function handleOllama(
provider: ProviderConfig,
msg: string,
hideprompt: boolean,
): string {
const payloadBuilder: PayloadBuilder = (model, query) => {
const payload: Record<string, unknown> = {
stream: false,
model,
messages: [{ role: "user", content: query }],
};
if (state.deterministic) {
payload.options = {
repeat_last_n: 0,
top_p: 0.0,
top_k: 1.0,
temperature: 0.0,
repeat_penalty: 1.0,
seed: 123,
};
}
return payload;
};
const responseParser: ResponseParser = (res) => {
if (res && res.error) {
const errMsg = typeof res.error === "string"
? res.error
: JSON.stringify(res.error);
throw new Error(errMsg);
}
if (res.message && res.message.content) {
return filterResponse(res.message.content);
}
throw new Error(JSON.stringify(res));
};
const urlBuilder: UrlBuilder = (base, model) => base + "/api/chat";
const headersBuilder: HeadersBuilder = () => [];
return handleProvider(
provider,
msg,
hideprompt,
payloadBuilder,
responseParser,
urlBuilder,
headersBuilder,
);
}
export function handleGemini(
provider: ProviderConfig,
msg: string,
hideprompt: boolean,
): string {
if (!provider.authKey) {
return "ERROR: No auth key configured";
}
const payloadBuilder: PayloadBuilder = (model, query) => {
const payload: Record<string, unknown> = {
contents: [{ parts: [{ text: query }] }],
};
if (state.deterministic) {
payload.generationConfig = {
temperature: 0.0,
topP: 1.0,
topK: 1,
};
}
return payload;
};
const responseParser: ResponseParser = (res) => {
const r = res as any;
if (r.candidates && r.candidates[0]?.content?.parts?.[0]?.text) {
return filterResponse(r.candidates[0].content.parts[0].text);
}
if (r.error) {
throw new Error(
typeof r.error === "string" ? r.error : JSON.stringify(r.error),
);
}
console.log(JSON.stringify(r));
throw new Error("Invalid response format");
};
const urlBuilder: UrlBuilder = (base, model, key) =>
`${base}/v1beta/models/${model}:generateContent?key=${key}`;
const headersBuilder: HeadersBuilder = () => [];
return handleProvider(
provider,
msg,
hideprompt,
payloadBuilder,
responseParser,
urlBuilder,
headersBuilder,
);
}
export function callProvider(msg: string, hideprompt: boolean): string {
const providerConfig = getProvider(state.api);
if (!providerConfig) {
const availableApis = listProviders().join(", ");
return `Unknown value for 'decai -e api'. Available: ${availableApis}`;
}
switch (providerConfig.apiStyle) {
case "openai":
return handleOpenAI(providerConfig, msg, hideprompt);
case "anthropic":
return handleAnthropic(providerConfig, msg, hideprompt);
case "ollama":
return handleOllama(providerConfig, msg, hideprompt);
case "gemini":
return handleGemini(providerConfig, msg, hideprompt);
default:
return `Unsupported API style: ${providerConfig.apiStyle}`;
}
}
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import { state } from "./state";
import { debugLog, fileDump, 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 host = state.baseurl
? state.baseurl + "/cmd"
: state.host + ":" + state.port + "/cmd";
const url = host + "/" + q.replace(/ /g, "%20").replace(/'/g, "\\'");
const response = httpGet(url, []);
if (response.error) {
return `Error: ${response.error}`;
}
return (response as any).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);
}
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export class R2PipeSyncFromSync {
r2p: R2Pipe;
constructor(r2p: R2Pipe) {
this.r2p = 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): any {
return this.r2p.cmd(command);
}
cmdAt(
command: string,
address: number | string | any,
): string {
return this.r2p.cmdAt(command, address);
}
cmdj(cmd: string): any {
return this.r2p.cmdj(cmd);
}
call(command: string): string {
return this.r2p.call(command);
}
callj(cmd: string): any {
return this.r2p.cmdj(cmd);
}
callAt(
command: string,
address: number | string | any,
): string {
return this.r2p.cmdAt(command, address);
}
log(msg: string) {
return this.r2p.log(msg);
}
plugin(type: string, maker: any): boolean {
return this.r2p.plugin(type, maker);
}
unload(type: string, name: string): boolean {
return this.r2p.unload(type, name);
}
}
export function newAsyncR2PipeFromSync(r2p: R2Pipe): R2PipeSync {
const asyncR2Pipe = new R2PipeSyncFromSync(r2p);
return asyncR2Pipe 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
*/
cmdAt(cmd: string, address: number | string | any): 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): any;
/**
* 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: string | number | any): string;
/**
* 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): any;
/**
* 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: any): 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
*/
cmdAt(cmd: string, address: number | string | any): 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): any;
/**
* 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: string | number | any): string;
/**
* 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): any;
/**
* 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: any): 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;
+26
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import { AppState } from "./types";
import { DEFAULT_PROMPT } from "./constants";
export const state: AppState = {
decopipe: { use: false },
host: "http://localhost",
port: "11434",
baseurl: "",
api: "ollama",
pipeline: "",
commands: "pdc",
yolo: false,
tts: false,
language: "C",
humanLanguage: "English",
deterministic: true,
debug: false,
think: -1,
useFiles: false,
contextFile: "",
model: "",
cache: false,
maxInputTokens: -1,
prompt: DEFAULT_PROMPT,
lastOutput: "",
};
+16
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{
"compilerOptions": {
"target": "es2020",
"lib": ["esnext"],
"module": "commonjs",
"outDir": "out",
"sourceMap": true,
"strict": true,
"esModuleInterop": true,
"skipLibCheck": true,
"forceConsistentCasingInFileNames": true
},
"include": [
"**/*.ts"
]
}
+101
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import type { R2PipeSync } from "r2papi";
declare global {
const r2: R2PipeSync;
function btoa(str: string): string;
}
export type ApiStyle = "openai" | "anthropic" | "ollama" | "gemini";
export interface ProviderConfig {
defaultModel: string;
defaultBaseurl: string;
requiresAuth: boolean;
authKey?: string;
apiStyle: ApiStyle;
hardcodedModels?: string[];
listModelsCallback?: (provider: ProviderConfig) => 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;
api: string;
pipeline: string;
commands: string;
yolo: boolean;
tts: boolean;
language: string;
humanLanguage: string;
deterministic: boolean;
debug: boolean;
think: number;
useFiles: boolean;
contextFile: string;
model: string;
cache: boolean;
maxInputTokens: number;
prompt: string;
lastOutput: string;
}
export interface ConfigHandler {
get: () => unknown;
set: (v: string) => void;
}
export interface ConfigHandlers {
[key: string]: ConfigHandler;
}
export type ApiKeyResult = [string | null, string | null, string];
export interface HttpResponse {
error?: { message?: string } | string;
choices?: Array<{ message: { content: string } }>;
content?: Array<{ text: string }>;
message?: { content: string };
candidates?: Array<{ content: { parts: Array<{ text: string }> } }>;
data?: Array<
{
id: string;
name?: string;
max_context_length?: number;
description?: string;
}
>;
models?: Array<{ name: string }>;
[key: string]: unknown;
}
export type PayloadBuilder = (
model: string,
query: string,
provider: ProviderConfig,
) => Record<string, unknown>;
export type ResponseParser = (res: HttpResponse) => string;
export type UrlBuilder = (base: string, model: string, key?: string) => string;
export type HeadersBuilder = (
key: string | null,
provider: ProviderConfig,
) => string[];
export interface AutoReply {
action: string;
command?: string;
description?: string;
reason?: string;
response?: string;
}
+80
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import { state } from "./state";
export function tmpdir(path: string): string {
const dir = r2.cmd("-e dir.tmp").trim() ?? ".";
return dir + "/" + path;
}
export function fileExists(path: string): boolean {
if (r2.cmd2("test -h").logs[0].message.indexOf("-fdx") !== -1) {
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 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 bob = result.indexOf("{");
if (bob !== -1) result = result.slice(bob);
const eob = result.indexOf("}");
if (eob !== -1) result = result.slice(0, eob + 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;
if (state.think !== 2) {
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;
}
+130
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After

Width:  |  Height:  |  Size: 8.3 KiB

+8
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@@ -0,0 +1,8 @@
---
description: 'Automatically suggest a better name for this function'
version: 0.1
author: pancake
command: afv;r2ai -d
if-empty: exit
---
Suggest a better name for this function. Output only the suggested function name (must be one alphanumeric word) prefixed with `'afn '. Check the code below:
-4
View File
@@ -1,4 +0,0 @@
Title: Automatically suggest a better name for this function
Author: pancake
Command: afv;r2ai -d
Prompt: Suggest a better name for this function. Output only the suggested function name (must be one alphanumeric word) prefixed with `'afn '. Check the code below:
+8
View File
@@ -0,0 +1,8 @@
---
description: 'Compact conversation history into a summary'
version: 0.1
author: pancake
command: r2ai -C
if-empty: exit
---
Create a compact summary of this conversation that preserves all key information, insights, and context for future reference. Focus on essential details about the binary analysis, tools used, findings, and any important conclusions.
+8
View File
@@ -0,0 +1,8 @@
---
description: 'Augmented decompilation based on LLM'
version: 0.1
author: pancake
command: pdc
if-empty: exit
---
$(-e r2ai.prompt). Translate the code into $(-e r2ai.lang) programming language.
-4
View File
@@ -1,4 +0,0 @@
Title: Augmented decompilation based on LLM
Author: pancake
Command: pdc
Prompt: $(-e r2ai.prompt). Translate the code into $(-e r2ai.lang) programming language.
+8
View File
@@ -0,0 +1,8 @@
---
description: 'Find and explain devices used'
version: 0.1
author: pancake
command: izqq~^/dev
if-empty: exit
---
explain in one line the purpose of each of these devices
-4
View File
@@ -1,4 +0,0 @@
Title: Find and explain devices used
Author: pancake
Command: izqq~^/dev
Prompt: explain in one line the purpose of each of these devices
+8
View File
@@ -0,0 +1,8 @@
---
description: 'List libraries loaded with dlopen'
version: 0.1
author: pancake
command: iiq~dlopen
if-empty: This binary is not using dlopen
---
Some libraries are loaded
-6
View File
@@ -1,6 +0,0 @@
Title: List libraries loaded with dlopen
Description: Some libraries are loaded
Requires: analysis
Command: iiq~dlopen
If-Empty: This binary is not using dlopen
If-Command: e emu.str=true;pd--5@@c:axtq sym.imp.dlopen
+8
View File
@@ -0,0 +1,8 @@
---
description: 'Explain the current function'
version: 0.1
author: pancake
command: r2ai -d
if-empty: exit
---
Analyze function calls, comments and strings, ignore registers and memory accesses. Considering the references and involved loops; explain the purpose of this function in one or two short sentences. Output must be only the translation of the explanation in $(-e r2ai.hlang)
-4
View File
@@ -1,4 +0,0 @@
Title: Explain the current function
Author: pancake
Command: r2ai -d
Prompt: Analyze function calls, comments and strings, ignore registers and memory accesses. Considering the references and involved loops; explain the purpose of this function in one or two short sentences. Output must be only the translation of the explanation in $(-e r2ai.hlang)
+8
View File
@@ -0,0 +1,8 @@
---
description: 'Group imports by Libraries'
version: 0.1
author: pancake
command: iiq;il
if-empty: exit
---
Group the imports that belong to each library and describe its purpose and usage scope
-4
View File
@@ -1,4 +0,0 @@
Title: Group imports by Libraries
Author: pancake
Commands: iiq;il
Query: Group the imports that belong to each library and describe its purpose and usage scope
+8
View File
@@ -0,0 +1,8 @@
---
description: 'Suggest an improved function signature'
version: 0.1
author: pancake
command: ?e variables;afv;?e function name:;afd;?e current signature:?e afs
if-empty: exit
---
Analyze the uses of the arguments and return value to infer the signature, identify which is the correct type for the resturn. Do NOT print the function body. Output must be *ONLY* the function signature prefixed with the `'afs ` text
-4
View File
@@ -1,4 +0,0 @@
Title: Suggest an improved function signature
Author: pancake
Command: ?e variables;afv;?e function name:;afd;?e current signature:?e afs
Prompt: Analyze the uses of the arguments and return value to infer the signature, identify which is the correct type for the resturn. Do NOT print the function body. Output must be *ONLY* the function signature prefixed with the `'afs ` text
+8
View File
@@ -0,0 +1,8 @@
---
description: 'Better variable names'
version: 0.1
author: pancake
command: afv
if-empty: exit
---
Output only the radare2 command without markdown, guess a better name and type for each local variable and function argument taking using. output an r2 script using afvn and afvt commands
-4
View File
@@ -1,4 +0,0 @@
Title: Better variable names
Author: pancake
Command: afv
Prompt: Output only the radare2 command without markdown, guess a better name and type for each local variable and function argument taking using. output an r2 script using afvn and afvt commands
+8
View File
@@ -0,0 +1,8 @@
---
description: 'Find vulnerabilities or bugs in the current function'
version: 0.1
author: pancake
command: pdc
if-empty: exit
---
Find vulnerabilities, do not show the code, only a short summary of the resulting analysis report including suggested good practices to address the problem and a practical exploit example.
-4
View File
@@ -1,4 +0,0 @@
Title: Find vulnerabilities or bugs in the current function
Author: pancake
Command: pdc
Prompt: Find vulnerabilities, do not show the code, only a short summary of the resulting analysis report including suggested good practices to address the problem and a practical exploit example.
+2 -1
View File
@@ -5,8 +5,9 @@
- All the source code of the plugin is in the current directory
- Radare2 headers use to be in /usr/local/include/libr
## Formatting Style
## Coding Style
- `R_NEW` and `R_NEW0` calls never return NULL, so there's no need to check after calling them
- Use the radare2 coding style rules
- Always add a whitespace before `(` in function calls
- Indent the code with tabs
+8 -2
View File
@@ -6,6 +6,9 @@ R2SYSPLUGDIR=$(shell r2 -NNH R2_LIBR_PLUGINS)
R2USRPLUGDIR=$(shell r2 -NNH R2_USER_PLUGINS)
R2BINDIR=$(shell r2pm -H R2PM_BINDIR)
R2MANDIR=$(shell r2pm -H R2PM_MANDIR)
ifeq ($(R2MANDIR),)
R2MANDIR=$(shell r2 -NNH R2_PREFIX)/share/man
endif
R2_CFLAGS=$(shell pkg-config --cflags r_core)
R2_LDFLAGS=$(shell pkg-config --libs r_core)
@@ -39,13 +42,16 @@ ifeq ($(USE_LIBCURL),1)
endif
OBJS=r2ai.o
OBJS+=apikeys.o
OBJS+=llm.o
OBJS+=auto.o
OBJS+=json.o
OBJS+=vdb.o
OBJS+=tools.o
OBJS+=messages.o
OBJS+=anthropic.o
OBJS+=r2ai_http.o
OBJS+=gemini.o
OBJS+=http.o
OBJS+=openai.o
OBJS+=markdown.o
OBJS+=query.o
@@ -66,7 +72,7 @@ doc-install:
vdb.o: vdb_embed.inc.c
fmt format indent:
clang-format-radare2 *.c
clang-format-radare2 *.c http/*.c
user-install: user-uninstall
mkdir -p $(R2USRPLUGDIR)
+1 -1
View File
@@ -98,7 +98,7 @@ These can be set with `r2ai -e <keyname>=<value>`
| r2ai.hlang | Tells LLM in which language to speak |
| r2ai.prompt | User prompt to send to LLM with `r2ai -d` |
| r2ai.auto.max_runs | Maximum loops when using auto mode `r2ai -a` |
| r2ai.auto.hide_tool_output | Only for auto mode `r2ai -a`. Will not show the output of the tool which ran locally |
| r2ai.auto.verbose | Only for auto mode `r2ai -a`. Will show the output of the tool which ran locally |
| r2ai.auto.yolo | Set this to true if you don't want r2ai to ask you for approval before running commands sent by the LLM. This is **dangerous**. Recommendation: **leave this to false** unless you fully trust your LLM not to create havoc! |
| r2ai.http.use_files | If you get CURL argument too long error, set this to true and arguments will be stored in a file.|
+32 -36
View File
@@ -8,8 +8,8 @@ R_IPI R2AI_ChatResponse *r2ai_anthropic(RCorePluginSession *cps, R2AIArgs args)
RCore *core = cps->core;
const char *model = args.model;
char **error = args.error;
const R2AI_Tools *tools = args.tools;
R2AI_Messages *messages_input = args.messages;
RList *tools = args.tools;
RList *messages_input = args.messages;
if (error) {
*error = NULL;
@@ -41,7 +41,7 @@ R_IPI R2AI_ChatResponse *r2ai_anthropic(RCorePluginSession *cps, R2AIArgs args)
// Create messages JSON
char *messages_json = NULL;
if (messages_input && r_list_length (messages_input->messages) > 0) {
if (messages_input && !r_list_empty (messages_input)) {
// Convert directly to JSON without filtering
messages_json = r2ai_msgs_to_anthropic_json (messages_input);
if (!messages_json) {
@@ -61,7 +61,7 @@ R_IPI R2AI_ChatResponse *r2ai_anthropic(RCorePluginSession *cps, R2AIArgs args)
// Convert tools to Anthropic format if available
char *anthropic_tools_json = NULL;
if (tools && tools->n_tools > 0) {
if (tools && !r_list_empty (tools)) {
anthropic_tools_json = r2ai_tools_to_anthropic_json (tools);
}
@@ -108,6 +108,17 @@ R_IPI R2AI_ChatResponse *r2ai_anthropic(RCorePluginSession *cps, R2AIArgs args)
R_LOG_DEBUG ("Anthropic API request data: %s", data);
if (r_config_get_b (core->config, "r2ai.debug")) {
// Generate curl command for debugging
RStrBuf *curl_cmd = r_strbuf_new ("curl -X POST");
for (int i = 0; headers[i]; i++) {
r_strbuf_appendf (curl_cmd, " -H \"%s\"", headers[i]);
}
r_strbuf_appendf (curl_cmd, " -d '%s' \"%s\"", data, anthropic_url);
eprintf ("Curl command: %s\n", r_strbuf_get (curl_cmd));
r_strbuf_free (curl_cmd);
}
// Make the API call
int code = 0;
char *res = r2ai_http_post (core, anthropic_url, headers, data, &code, NULL);
@@ -133,17 +144,12 @@ R_IPI R2AI_ChatResponse *r2ai_anthropic(RCorePluginSession *cps, R2AIArgs args)
free (res_path);
free (tmpdir);
R_LOG_DEBUG ("Anthropic API response: %s", res);
if (r_config_get_b (core->config, "r2ai.debug")) {
R_LOG_DEBUG ("Anthropic API response: %s", res);
}
// Parse the response
R2AI_ChatResponse *result = R_NEW0 (R2AI_ChatResponse);
if (!result) {
free (res);
if (error) {
*error = strdup ("Failed to allocate memory for response");
}
return NULL;
}
R2AI_Message *message = NULL;
R2AI_Usage *usage = NULL;
@@ -195,9 +201,9 @@ R_IPI R2AI_ChatResponse *r2ai_anthropic(RCorePluginSession *cps, R2AIArgs args)
}
}
// Allocate tool_calls array if needed
// Allocate tool_calls list if needed
if (has_tool_use && n_tool_calls > 0) {
message->tool_calls = R_NEWS0 (R2AI_ToolCall, n_tool_calls);
message->tool_calls = r_list_new ();
if (!message->tool_calls) {
if (error) {
*error = strdup ("Failed to allocate memory for tool calls");
@@ -208,13 +214,13 @@ R_IPI R2AI_ChatResponse *r2ai_anthropic(RCorePluginSession *cps, R2AIArgs args)
free (res);
return NULL;
}
message->n_tool_calls = n_tool_calls;
message->tool_calls->free = (RListFree)r2ai_tool_call_free;
}
// Process each content item
int tool_idx = 0;
if (content_array && content_array->type == R_JSON_ARRAY) {
R2AI_ContentBlocks *cb = R_NEW0 (R2AI_ContentBlocks);
RList *cb = r2ai_content_blocks_new ();
if (!cb) {
r_json_free (jres);
free (response_copy);
@@ -222,22 +228,11 @@ R_IPI R2AI_ChatResponse *r2ai_anthropic(RCorePluginSession *cps, R2AIArgs args)
free (res);
return NULL;
}
cb->n_blocks = content_array->children.count;
cb->blocks = R_NEWS0 (R2AI_ContentBlock, cb->n_blocks);
if (!cb->blocks) {
free (cb);
r_json_free (jres);
free (response_copy);
r2ai_message_free (message);
free (res);
return NULL;
}
int block_idx = 0;
const RJson *content_item = content_array->children.first;
while (content_item && block_idx < cb->n_blocks) {
while (content_item) {
const RJson *type = r_json_get (content_item, "type");
if (type && type->type == R_JSON_STRING) {
R2AI_ContentBlock *block = &cb->blocks[block_idx];
R2AI_ContentBlock *block = R_NEW0 (R2AI_ContentBlock);
if (!strcmp (type->str_value, "text")) {
// Text content
const RJson *text = r_json_get (content_item, "text");
@@ -253,29 +248,30 @@ R_IPI R2AI_ChatResponse *r2ai_anthropic(RCorePluginSession *cps, R2AIArgs args)
const RJson *input = r_json_get (content_item, "input");
block->type = strdup ("tool_use");
R2AI_ToolCall *tc = R_NEW0 (R2AI_ToolCall);
if (name && name->type == R_JSON_STRING) {
block->name = strdup (name->str_value);
R2AI_ToolCall *tc = (R2AI_ToolCall *)&message->tool_calls[tool_idx];
tc->name = strdup (name->str_value);
}
if (id && id->type == R_JSON_STRING) {
block->id = strdup (id->str_value);
R2AI_ToolCall *tc = (R2AI_ToolCall *)&message->tool_calls[tool_idx];
tc->id = strdup (id->str_value);
}
if (input && input->type == R_JSON_OBJECT) {
#if 1
char *input_str = r_json_to_string (input);
if (input_str) {
R_LOG_DEBUG ("Input string: %s", input_str);
block->input = strdup (input_str);
R2AI_ToolCall *tc = (R2AI_ToolCall *)&message->tool_calls[tool_idx];
tc->arguments = strdup (input_str);
free (input_str);
}
#endif
}
r_list_append (message->tool_calls, tc);
tool_idx++;
} else if (!strcmp (type->str_value, "thinking")) {
const RJson *data = r_json_get (content_item, "data");
@@ -292,11 +288,11 @@ R_IPI R2AI_ChatResponse *r2ai_anthropic(RCorePluginSession *cps, R2AIArgs args)
}
block->type = strdup ("thinking");
r_strbuf_append (content_buf, "\n\x1b[90m<thinking>\n");
r_strbuf_append (content_buf, "\n" Color_GRAY "<thinking>\n");
r_strbuf_append (content_buf, block->thinking);
r_strbuf_append (content_buf, "\n</thinking>\x1b[0m\n");
r_strbuf_append (content_buf, "\n</thinking>" Color_RESET "\n");
}
block_idx++;
r_list_append (cb, block);
}
content_item = content_item->next;
}
@@ -307,7 +303,7 @@ R_IPI R2AI_ChatResponse *r2ai_anthropic(RCorePluginSession *cps, R2AIArgs args)
message->content = r_strbuf_drain (content_buf);
// If there's no content and no tool calls, clean up
if (!message->content && !message->n_tool_calls) {
if (!message->content && (!message->tool_calls || r_list_empty (message->tool_calls))) {
r2ai_message_free (message);
message = NULL;
}
+85
View File
@@ -0,0 +1,85 @@
/* r2ai - Copyright 2023-2025 pancake */
#define R_LOG_ORIGIN "r2ai"
#include "r2ai.h"
#include "r2ai_priv.h"
/* Return the path to the apikeys.txt file */
R_API char *r2ai_apikeys_path(bool *exists) {
char *path = r_file_home (".config/r2ai/apikeys.txt");
if (exists) {
*exists = r_file_exists (path);
}
return path;
}
/* Edit the API keys file */
R_API void r2ai_apikeys_edit(RCorePluginSession *cps) {
RCore *core = cps->core;
bool exists = false;
char *keys_path = r2ai_apikeys_path (&exists);
if (!exists) {
const char *template = "# API Keys configuration for r2ai\n"
"\n"
"# Specify your API keys in the format: PROVIDER=KEY\n"
"# OpenAI=sk-your-openai-api-key-here\n"
"# MISTRAL=your-mistral-api-key-here\n";
r_file_dump (keys_path, (const ut8 *)template, strlen (template), 0);
}
r_cons_editor (core->cons, keys_path, NULL);
free (keys_path);
}
/* Return a malloc'd API key read from ~/.config/r2ai/apikeys.txt
* Provider matching is case-insensitive */
R_API char *r2ai_apikeys_get(const char *provider) {
if (!provider) {
return NULL;
}
bool exists = false;
char *config_file = r2ai_apikeys_path (&exists);
if (!exists) {
free (config_file);
return NULL;
}
char *content = r_file_slurp (config_file, NULL);
free (config_file);
if (!content) {
return NULL;
}
RList *lines = r_str_split_list (content, "\n", 0);
char *key = NULL;
if (lines) {
RListIter *iter;
char *line;
r_list_foreach (lines, iter, line) {
const char *trimmed = r_str_trim_head_ro (line);
if (R_STR_ISEMPTY (trimmed) || *trimmed == '#') {
continue;
}
char *eq = strchr (trimmed, '=');
if (eq) {
*eq = 0;
char *lower = strdup (trimmed);
r_str_case (lower, false); /* lowercase */
char *tail = strstr (lower, "_api_key");
if (tail) {
*tail = 0;
}
if (r_str_casecmp (lower, provider) == 0) {
key = strdup (eq + 1);
r_str_trim (key);
free (lower);
break;
}
free (lower);
} else if (*trimmed) {
R_LOG_WARN ("Invalid syntax in apikeys.txt: %s", line);
}
}
r_list_free (lines);
}
free (content);
return key;
}
+337 -142
View File
@@ -1,3 +1,5 @@
/* Copyright r2ai - 2023-2025 - pancake */
#include "r2ai.h"
// Stats are now stored in R2AI_State->stats, no longer need global variable
@@ -5,24 +7,22 @@
// Helper function to format time duration
static char *format_time_duration(time_t seconds) {
if (seconds < 60) {
return r_str_newf ("%" PFMT64d "s", (long long)seconds);
return r_str_newf ("%" PFMT64d "s", (ut64)seconds);
}
if (seconds < 3600) {
return r_str_newf ("%" PFMT64d "m%" PFMT64d "s", (long long) (seconds / 60), (long long) (seconds % 60));
return r_str_newf ("%" PFMT64d "m%" PFMT64d "s", (ut64) (seconds / 60), (ut64) (seconds % 60));
}
return r_str_newf ("%" PFMT64d "h%" PFMT64d "m%" PFMT64d "s",
(long long) (seconds / 3600),
(long long) ((seconds % 3600) / 60),
(long long) (seconds % 60));
(ut64) (seconds / 3600),
(ut64) ((seconds % 3600) / 60),
(ut64) (seconds % 60));
}
// Initialize timing and cost tracking for a run
// Initialize timing tracking for a run
static void r2ai_stats_init_run(R2AI_State *state, int n_run) {
time_t run_start = time (NULL);
if (n_run == 1) {
// First run, initialize total timing
state->stats.total_cost = 0.0;
state->stats.run_cost = 0.0;
state->stats.total_start_time = run_start;
state->stats.total_tokens = 0;
state->stats.run_tokens = 0;
@@ -51,18 +51,12 @@ static void r2ai_print_run_end(RCorePluginSession *cps, const R2AI_Usage *usage,
state->stats.total_completion_tokens += usage->completion_tokens;
}
if (r_config_get_b (core->config, "r2ai.chat.show_cost") == true) {
// TODO: calculate cost
state->stats.run_cost = 0.0 * run_time;
state->stats.total_cost += state->stats.run_cost;
}
// Format times for display
char *run_time_str = format_time_duration (run_time);
char *total_time_str = format_time_duration (total_time);
// Print detailed stats
r_cons_printf (core->cons, "\x1b[1;34m%s | total: %d in: %d out: %d | run: %d in: %d out: %d | %s / %s\x1b[0m\n",
r_cons_printf (core->cons, "\x1b[1" Color_BLUE "%s | total: %d in: %d out: %d | run: %d in: %d out: %d | %s / %s" Color_RESET "\n",
r_config_get (core->config, "r2ai.model"),
state->stats.total_tokens,
state->stats.total_prompt_tokens,
@@ -79,28 +73,122 @@ static void r2ai_print_run_end(RCorePluginSession *cps, const R2AI_Usage *usage,
free (total_time_str);
}
const char *Gprompt_auto = "You are a reverse engineer and you are using radare2 to analyze a binary.\n"
"The user will ask questions about the binary and you will respond with the answer to the best of your ability.\n"
"\n"
"# Guidelines\n"
"- Understand the Task: Grasp the main objective, goals, requirements, constraints, and expected output.\n"
"- Reasoning Before Conclusions**: Encourage reasoning steps before any conclusions are reached.\n"
"- Assume the user is always asking you about the binary, unless they're specifically asking you for radare2 help.\n"
"- The binary has already been loaded. You can interact with the binary using the r2cmd tool.\n"
"- `this` or `here` might refer to the current address in the binary or the binary itself.\n"
"- If you need more information, try to use the r2cmd tool to run commands before answering.\n"
"- 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.\n"
"- 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.\n"
"- Don't just regurgitate the same code, figure out what it's doing and rewrite it to be more understandable.\n"
"- If you need to run a command in r2 before answering, you can use the r2cmd tool\n"
"- Do not repeat commands if you already know the answer.\n"
"- Formulate a plan. Think step by step. Analyze the binary as much as possible before answering.\n"
"- You must keep going until you have a final answer.\n"
"- Double check that final answer. Make sure you didn't miss anything.\n"
"- Make sure you call tools and functions correctly.\n";
// Helper function to handle final response attempt without tools
static void handle_final_response_attempt(RCorePluginSession *cps, RList *messages, const char *effective_prompt, char **error) {
RCore *core = cps->core;
if (r_cons_yesno (core->cons, 1, "Try to produce response without tool calling with collected information? (Y/n)")) {
char *final_system_prompt = r_str_newf ("%s\n\nIMPORTANT: Do not use any tools. Provide a direct answer based on the collected information.", effective_prompt);
R2AIArgs args_final = {
.messages = messages,
.error = error,
.dorag = true,
.tools = NULL, // No tools for final response
.system_prompt = final_system_prompt
};
R2AI_ChatResponse *final_response = r2ai_llmcall (cps, args_final);
if (final_response && final_response->message) {
const R2AI_Message *final_msg = final_response->message;
r_cons_printf (core->cons, Color_RED "[Assistant]" Color_RESET);
if (final_msg->reasoning_content) {
r_cons_printf (core->cons, Color_GRAY "<thinking>\n%s\n</thinking>" Color_RESET "\n", final_msg->reasoning_content);
r_cons_newline (core->cons);
r_cons_flush (core->cons);
}
if (final_msg->content) {
r_cons_printf (core->cons, "%s", final_msg->content);
r_cons_newline (core->cons);
r_cons_flush (core->cons);
}
// Add final response to messages for completeness
r2ai_msgs_add (messages, final_msg);
free (final_response);
}
free (final_system_prompt);
} else {
r_cons_printf (core->cons, "Auto mode interrupted without final response.\n");
r_cons_flush (core->cons);
}
}
static void update_tool_call_argument(R2AI_Message *msg, const char *tool_call_id, const char *field_name, const char *field_value) {
R_RETURN_IF_FAIL (msg && tool_call_id && field_name && field_value);
if (!msg->tool_calls || r_list_empty (msg->tool_calls)) {
return;
}
RListIter *iter;
R2AI_ToolCall *tc;
r_list_foreach (msg->tool_calls, iter, tc) {
if (!tc->id || strcmp (tc->id, tool_call_id) || !tc->arguments) {
continue;
}
char *args_dup = strdup (tc->arguments);
if (!args_dup) {
return;
}
RJson *args_json = r_json_parse (args_dup);
if (!args_json) {
free (args_dup);
return;
}
RJson *field_json = (RJson *)r_json_get (args_json, field_name);
if (field_json && field_json->str_value) {
const char *orig_value = field_json->str_value;
field_json->str_value = field_value;
char *new_args = r_json_to_string (args_json);
field_json->str_value = orig_value;
if (new_args) {
free ((void *)tc->arguments);
tc->arguments = new_args;
}
}
r_json_free (args_json);
free (args_dup);
return;
}
}
#if 0
static const char *Gprompt_auto =
"You are a reverse engineer using radare2.\n"
"Answer questions about the loaded binary using r2cmd tool calls.\n"
"\n"
"Rules:\n"
"- Use r2cmd tool to run radare2 commands when you need information\n"
"- Make tool calls immediately when you need data\n"
"- Provide final answer only after gathering needed information\n"
"- Keep responses short and direct\n"
;
#else
const char *Gprompt_auto =
"You are a reverse engineer and you are using radare2 to analyze a binary.\n"
"The user will ask questions about the binary and you will respond with the answer to the best of your ability.\n"
"\n"
"# Guidelines\n"
"- Understand the Task: Grasp the main objective, goals, requirements, constraints, and expected output.\n"
"- Reasoning Before Conclusions**: Encourage reasoning steps before any conclusions are reached.\n"
"- Assume the user is always asking you about the binary, unless they're specifically asking you for radare2 help.\n"
"- The binary has already been loaded. You can interact with the binary using the r2cmd tool.\n"
"- `this` or `here` might refer to the current address in the binary or the binary itself.\n"
"- If you need more information, try to use the r2cmd tool to run commands before answering.\n"
"- 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.\n"
"- IMPORTANT: You must make only ONE tool call per response. Do not make multiple tool calls in a single response.\n"
"- Keep your reasoning concise and avoid repeating the same thoughts. If you have a clear next step, execute it immediately with a tool call.\n"
"- 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.\n"
"- Don't just regurgitate the same code, figure out what it's doing and rewrite it to be more understandable.\n"
"- If you need to run a command in r2 before answering, you can use the r2cmd tool\n"
"- Do not repeat commands if you already know the answer.\n"
"- Formulate a plan. Think step by step. Analyze the binary as much as possible before answering.\n"
"- You must keep going until you have a final answer.\n"
"- Double check that final answer. Make sure you didn't miss anything.\n"
"- Make sure you call tools and functions correctly.\n"
"- When calling tools, use the exact format: {\"tool_calls\": [{\"id\": \"call_123\", \"type\": \"function\", \"function\": {\"name\": \"r2cmd\", \"arguments\": \"{\\\"command\\\":\\\"aa\\\"}\"}}]}\n"
"- Arguments must be a JSON string, not an object.\n";
#endif
// Helper function to process messages and handle tool calls recursively
R_API void process_messages(RCorePluginSession *cps, R2AI_Messages *messages, const char *system_prompt, int n_run) {
R_API void process_messages(RCorePluginSession *cps, RList *messages, const char *system_prompt, int n_run) {
RCore *core = cps->core;
R2AI_State *state = cps->data;
char *error = NULL;
@@ -108,32 +196,42 @@ R_API void process_messages(RCorePluginSession *cps, R2AI_Messages *messages, co
const int max_runs = r_config_get_i (core->config, "r2ai.auto.max_runs");
if (n_run > max_runs) {
r_cons_printf (core->cons, "\x1b[1;31m[r2ai] Max runs reached\x1b[0m\n");
R_LOG_WARN ("Max runs reached");
r_cons_flush (core->cons);
return;
}
const char *effective_prompt = system_prompt? system_prompt: Gprompt_auto;
if (!system_prompt) {
system_prompt = Gprompt_auto;
const char *init_commands = r_config_get (core->config, "r2ai.auto.init_commands");
if (R_STR_ISNOTEMPTY (init_commands)) {
char *edited_command = NULL;
char *cmd_output = execute_tool (core, "r2cmd", r_str_newf ("{\"command\":\"%s\"}", init_commands), &edited_command);
char *comment = NULL;
char *cmd_output = execute_tool (core, "r2cmd", r_str_newf ("{\"command\":\"%s\"}", init_commands), &edited_command, &comment);
if (R_STR_ISNOTEMPTY (cmd_output)) {
char *display_command = strip_command_comment (init_commands, NULL);
char *content = r_str_newf ("Here is some information about the binary to get you started:\n>%s\n%s", display_command, cmd_output);
if (comment && *comment) {
char *new_content = r_str_newf ("%s\nHINT: %s", content, comment);
free (content);
content = new_content;
}
R2AI_Message init_msg = {
.role = "system",
.content = r_str_newf ("Here is some information about the binary to get you started:\n>%s\n%s", edited_command, cmd_output)
.content = content
};
r2ai_msgs_add (messages, &init_msg);
free (display_command);
free (cmd_output);
}
free (edited_command);
free (comment);
}
}
r2ai_stats_init_run (state, n_run);
r_cons_printf (core->cons, "\x1b[35m[DEBUG] About to call r2ai_llmcall with n_run=%d\x1b[0m\n", n_run);
r_cons_printf (core->cons, Color_BLUE "About to call r2ai_llmcall with n_run=%d%s\n", n_run, Color_RESET);
r_cons_flush (core->cons);
// Set up args for r2ai_llmcall call with tools directly
@@ -141,13 +239,14 @@ R_API void process_messages(RCorePluginSession *cps, R2AI_Messages *messages, co
.messages = messages,
.error = &error,
.dorag = true,
.tools = r2ai_get_tools (), // Always send tools in auto mode
.system_prompt = system_prompt
.tools = r2ai_get_tools (core, cps->data), // Always send tools in auto mode
.system_prompt = effective_prompt
};
R2AI_ChatResponse *response = r2ai_llmcall (cps, args);
if (!response) {
R_LOG_ERROR ("No response from llmcall");
handle_final_response_attempt (cps, messages, effective_prompt, &error);
return;
}
@@ -157,30 +256,34 @@ R_API void process_messages(RCorePluginSession *cps, R2AI_Messages *messages, co
if (!message) {
R_LOG_ERROR ("No message in response");
free (response);
handle_final_response_attempt (cps, messages, effective_prompt, &error);
return;
}
// Debug logging for rawtools
R_LOG_DEBUG ("[DEBUG] Model response - Role: %s", message->role? message->role: "null");
R_LOG_DEBUG ("Model response - Role: %s", message->role? message->role: "null");
if (message->content) {
R_LOG_DEBUG ("[DEBUG] Content: %s", message->content);
R_LOG_DEBUG ("Content: %s", message->content);
}
if (message->reasoning_content) {
R_LOG_DEBUG ("[DEBUG] Reasoning: %s", message->reasoning_content);
R_LOG_DEBUG ("Reasoning: %s", message->reasoning_content);
}
if (message->tool_calls && message->n_tool_calls > 0) {
R_LOG_DEBUG ("[DEBUG] Tool calls: %d", message->n_tool_calls);
for (int i = 0; i < message->n_tool_calls; i++) {
const R2AI_ToolCall *tc = &message->tool_calls[i];
R_LOG_DEBUG ("[DEBUG] Tool %d: %s - %s", i, tc->name? tc->name: "null", tc->arguments? tc->arguments: "null");
if (message->tool_calls && r_list_length (message->tool_calls) > 0) {
R_LOG_DEBUG ("Tool calls: %d", r_list_length (message->tool_calls));
RListIter *iter;
R2AI_ToolCall *tc;
int i = 0;
r_list_foreach (message->tool_calls, iter, tc) {
R_LOG_DEBUG ("Tool %d: %s - %s", i, tc->name? tc->name: "null", tc->arguments? tc->arguments: "null");
i++;
}
}
// Process the response - we need to add it to our messages array
if (message->content || message->reasoning_content) {
r_cons_printf (core->cons, "\x1b[31m[Assistant]\x1b[0m\n\n");
r_cons_printf (core->cons, Color_RED "[Assistant]" Color_RESET);
if (message->reasoning_content) {
r_cons_printf (core->cons, "\x1b[90m<thinking>\n%s\n</thinking>\x1b[0m\n", message->reasoning_content);
r_cons_printf (core->cons, Color_GRAY "<thinking>\n%s\n</thinking>" Color_RESET "\n", message->reasoning_content);
r_cons_newline (core->cons);
r_cons_flush (core->cons);
}
@@ -196,18 +299,21 @@ R_API void process_messages(RCorePluginSession *cps, R2AI_Messages *messages, co
r2ai_msgs_add (messages, message);
// Check for tool calls and process them
if (message->tool_calls && message->n_tool_calls > 0) {
R_LOG_DEBUG ("Found %d tool call(s)", message->n_tool_calls);
if (message->tool_calls && r_list_length (message->tool_calls) > 0) {
R_LOG_DEBUG ("Found %d tool call(s)", r_list_length (message->tool_calls));
// Process each tool call
for (int i = 0; i < message->n_tool_calls; i++) {
const R2AI_ToolCall *tool_call = &message->tool_calls[i];
// Process only the first tool call
RListIter *iter;
R2AI_ToolCall *tool_call;
int i = 0;
r_list_foreach (message->tool_calls, iter, tool_call) {
if (!tool_call->name || !tool_call->arguments || !tool_call->id) {
R_LOG_DEBUG ("Skipping invalid tool call %d", i);
i++;
continue;
}
R_LOG_DEBUG ("Tool call %d: %s with args: %s", i, tool_call->name, tool_call->arguments);
R_LOG_DEBUG ("Processing first tool call %d: %s with args: %s", i, tool_call->name, tool_call->arguments);
// Don't log the full arguments which might get truncated
char *tool_name = strdup (tool_call->name);
char *tool_args = strdup (tool_call->arguments);
@@ -219,40 +325,20 @@ R_API void process_messages(RCorePluginSession *cps, R2AI_Messages *messages, co
}
char *cmd_output = NULL;
char *comment = NULL;
if (interrupted) {
cmd_output = strdup ("<user interrupted>");
} else {
char *edited_command = NULL;
cmd_output = execute_tool (core, tool_name, tool_args, &edited_command);
cmd_output = execute_tool (core, tool_name, tool_args, &edited_command, &comment);
if (edited_command) {
// Update the last message's tool call arguments with the edited command
R2AI_Message *last_msg = r_list_get_n (messages->messages, r_list_length (messages->messages) - 1);
if (last_msg && last_msg->tool_calls && last_msg->n_tool_calls > 0) {
for (int j = 0; j < last_msg->n_tool_calls; j++) {
R2AI_ToolCall *tc = (R2AI_ToolCall *)&last_msg->tool_calls[j];
if (tc->id && strcmp (tc->id, tool_call->id) == 0) {
// For r2cmd, update the command in arguments
if (strcmp (tool_name, "r2cmd") == 0) {
char *args_dup = strdup (tc->arguments);
RJson *args_json = r_json_parse (args_dup);
if (args_json) {
RJson *cmd_json = (RJson *)r_json_get (args_json, "command");
if (cmd_json && cmd_json->str_value) {
// Update the command field
free ((char *)cmd_json->str_value);
cmd_json->str_value = strdup (edited_command);
// Serialize back to JSON
char *new_args = r_json_to_string (args_json);
if (new_args) {
free ((void *)tc->arguments);
tc->arguments = new_args;
}
}
r_json_free (args_json);
}
}
break;
}
R2AI_Message *last_msg = r_list_get_n (messages, r_list_length (messages) - 1);
if (last_msg) {
if (!strcmp (tool_name, "r2cmd")) {
update_tool_call_argument (last_msg, tool_call->id, "command", edited_command);
} else if (!strcmp (tool_name, "execute_js")) {
update_tool_call_argument (last_msg, tool_call->id, "script", edited_command);
}
}
}
@@ -262,12 +348,20 @@ R_API void process_messages(RCorePluginSession *cps, R2AI_Messages *messages, co
free (tool_name);
free (tool_args);
if (strcmp (cmd_output, "R2AI_SIGINT") == 0) {
r_cons_printf (core->cons, "\n\n\x1b[1;31m[r2ai] Processing interrupted after tool execution\x1b[0m\n\n");
r_cons_printf (core->cons, "\n\n\x1b[1" Color_RED "[r2ai] Processing interrupted after tool execution" Color_RESET "\n\n");
r_cons_flush (core->cons);
free (cmd_output);
cmd_output = strdup ("<user interrupted>");
interrupted = true;
handle_final_response_attempt (cps, messages, effective_prompt, &error);
}
if (comment) {
char *msg = r_str_newf ("HINT: %s\n%s", comment, cmd_output);
free (cmd_output);
cmd_output = msg;
}
free (comment);
// Create a tool call response message
R2AI_Message tool_response = {
@@ -278,19 +372,24 @@ R_API void process_messages(RCorePluginSession *cps, R2AI_Messages *messages, co
// Add the tool response to our messages array
r2ai_msgs_add (messages, &tool_response);
R_LOG_DEBUG ("[DEBUG] Added tool response to messages: %s", cmd_output? cmd_output: "null");
r_cons_printf (core->cons, "\x1b[32m[DEBUG] Tool result: %s\x1b[0m\n", cmd_output? cmd_output: "no output");
R_LOG_DEBUG ("Added tool response to messages: %s", cmd_output? cmd_output: "null");
r_cons_printf (core->cons, Color_GREEN "Tool result: %s" Color_RESET, cmd_output? cmd_output: "no output");
free (cmd_output);
i++;
#if 0
// Only process the first valid tool call
break;
#endif
}
r2ai_print_run_end (cps, usage, n_run, max_runs);
// Check if we should continue with recursion
if (!interrupted && message->tool_calls && message->n_tool_calls > 0) {
R_LOG_DEBUG ("[DEBUG] Recursing to process_messages with n_run=%d", n_run + 1);
process_messages (cps, messages, system_prompt, n_run + 1);
if (!interrupted && message->tool_calls && r_list_length (message->tool_calls) > 0) {
R_LOG_DEBUG ("Recursing to process_messages with n_run=%d", n_run + 1);
process_messages (cps, messages, effective_prompt, n_run + 1);
} else {
R_LOG_DEBUG ("[DEBUG] Auto mode loop ending - no more tool calls or interrupted");
R_LOG_DEBUG ("Auto mode loop ending - no more tool calls or interrupted");
}
} else {
r2ai_print_run_end (cps, usage, n_run, max_runs);
@@ -303,10 +402,10 @@ R_API void process_messages(RCorePluginSession *cps, R2AI_Messages *messages, co
R_IPI void cmd_r2ai_a(RCorePluginSession *cps, const char *user_query) {
RCore *core = cps->core;
R2AI_State *state = cps->data;
r_cons_printf (core->cons, "\x1b[35m[DEBUG] cmd_r2ai_a called with query: %s\x1b[0m\n", user_query);
r_cons_printf (core->cons, Color_CYAN "cmd_r2ai_a called with query: %s" Color_RESET "\n", user_query);
r_cons_flush (core->cons);
// Get conversation
R2AI_Messages *messages = r2ai_conversation_get (state);
RList *messages = r2ai_conversation_get (state);
if (!messages) {
R_LOG_ERROR ("Conversation not initialized");
return;
@@ -314,7 +413,7 @@ R_IPI void cmd_r2ai_a(RCorePluginSession *cps, const char *user_query) {
// Add user query to the conversation (no system prompt)
// If this is the first message in a new conversation, clear previous history
if (r_list_length (messages->messages) == 0 || r_config_get_b (core->config, "r2ai.auto.reset_on_query")) {
if (r_list_empty (messages) || r_config_get_b (core->config, "r2ai.auto.reset_on_query")) {
r2ai_msgs_clear (messages);
}
@@ -325,31 +424,22 @@ R_IPI void cmd_r2ai_a(RCorePluginSession *cps, const char *user_query) {
};
r2ai_msgs_add (messages, &user_msg);
process_messages (cps, messages, NULL, 1);
const char *system_prompt = NULL;
if (!r_config_get_b (core->config, "r2ai.auto.think")) {
system_prompt = r_str_newf ("/no_think\nReasoning: Low\n%s", Gprompt_auto);
}
process_messages (cps, messages, system_prompt, 1);
if (system_prompt) {
free ((char *)system_prompt);
}
}
// Helper function to display content with length indication for long content
static void print_content_with_length(RCore *core, const char *content, const char *empty_msg, bool always_show_length) {
if (!content || *content == '\0') {
r_cons_printf (core->cons, "%s\n", empty_msg? empty_msg: "<no content>");
return;
}
size_t content_len = strlen (content);
const size_t max_display = 200;
if (content_len > max_display) {
// Truncate long content and show length
char *truncated = r_str_ndup (content, max_display);
r_cons_printf (core->cons, "%s... \x1b[1;37m(length: %zu chars)\x1b[0m\n",
truncated, content_len);
free (truncated);
} else if (always_show_length) {
// Always show length for certain types (like tool responses)
r_cons_printf (core->cons, "%s \x1b[1;37m(length: %zu chars)\x1b[0m\n",
content, content_len);
static void print_content_with_length(RCore *core, const char *content, const char *empty_msg) {
if (R_STR_ISEMPTY (content)) {
r_cons_println (core->cons, empty_msg? empty_msg: "<no content>");
} else {
r_cons_printf (core->cons, "%s\n", content);
r_cons_println (core->cons, content);
}
}
@@ -358,8 +448,8 @@ R_IPI void cmd_r2ai_logs(RCorePluginSession *cps) {
RCore *core = cps->core;
R2AI_State *state = cps->data;
// Get conversation
R2AI_Messages *messages = r2ai_conversation_get (state);
if (!messages || r_list_length (messages->messages) == 0) {
RList *messages = r2ai_conversation_get (state);
if (!messages || r_list_empty (messages)) {
r_cons_printf (core->cons, "No conversation history available\n");
return;
}
@@ -376,15 +466,17 @@ R_IPI void cmd_r2ai_logs(RCorePluginSession *cps) {
pj_a (pj);
for (int i = 0; i < r_list_length (messages->messages); i++) {
const R2AI_Message *msg = r_list_get_n (messages->messages, i);
RListIter *iter;
const R2AI_Message *msg;
r_list_foreach (messages, iter, msg) {
pj_o (pj);
pj_ks (pj, "role", msg->role? msg->role: "unknown");
pj_ks (pj, "content", msg->content? msg->content: "");
if (msg->tool_calls && msg->n_tool_calls > 0) {
if (msg->tool_calls && r_list_length (msg->tool_calls) > 0) {
pj_ka (pj, "tool_calls");
for (int j = 0; j < msg->n_tool_calls; j++) {
const R2AI_ToolCall *tc = &msg->tool_calls[j];
RListIter *iter;
R2AI_ToolCall *tc;
r_list_foreach (msg->tool_calls, iter, tc) {
pj_o (pj);
if (tc->name) {
pj_ks (pj, "name", tc->name);
@@ -408,28 +500,30 @@ R_IPI void cmd_r2ai_logs(RCorePluginSession *cps) {
return;
}
r_cons_printf (core->cons, "\x1b[1;34m[r2ai] Chat Logs (%d messages)\x1b[0m\n",
r_list_length (messages->messages));
r_cons_printf (core->cons, "\x1b[1" Color_BLUE "[r2ai] Chat Logs (%d messages)" Color_RESET "\n",
r_list_length (messages));
r_cons_printf (core->cons, "\x1b[1;33mNote: System prompt is applied automatically but not stored in history\x1b[0m\n\n");
r_cons_printf (core->cons, "\x1b[1" Color_YELLOW "Note: System prompt is applied automatically but not stored in history" Color_RESET "\n\n");
// Display each message in the conversation
for (int i = 0; i < r_list_length (messages->messages); i++) {
const R2AI_Message *msg = r_list_get_n (messages->messages, i);
RListIter *iter;
const R2AI_Message *msg;
r_list_foreach (messages, iter, msg) {
const char *role = msg->role;
// Format based on role
if (!strcmp (role, "user")) {
r_cons_printf (core->cons, "\x1b[1;32m[user]:\x1b[0m ");
print_content_with_length (core, msg->content, "<no content>", false);
r_cons_printf (core->cons, "\x1b[1" Color_GREEN "[user]:" Color_RESET " ");
print_content_with_length (core, msg->content, "<no content>");
} else if (!strcmp (role, "assistant")) {
r_cons_printf (core->cons, "\x1b[1;36m[assistant]:\x1b[0m ");
print_content_with_length (core, msg->content, "<no content>", false);
r_cons_printf (core->cons, "\x1b[1" Color_CYAN "[assistant]:" Color_RESET " ");
print_content_with_length (core, msg->content, "<no content>");
// Show tool calls if present
if (msg->tool_calls && msg->n_tool_calls > 0) {
for (int j = 0; j < msg->n_tool_calls; j++) {
const R2AI_ToolCall *tc = &msg->tool_calls[j];
r_cons_printf (core->cons, " \x1b[1;35m[tool call]:\x1b[0m %s\n",
if (msg->tool_calls && r_list_length (msg->tool_calls) > 0) {
RListIter *iter;
R2AI_ToolCall *tc;
r_list_foreach (msg->tool_calls, iter, tc) {
r_cons_printf (core->cons, " \x1b[1" Color_MAGENTA "[tool call]:" Color_RESET " %s\n",
tc->name? tc->name: "<unnamed>");
if (tc->arguments) {
@@ -438,17 +532,118 @@ R_IPI void cmd_r2ai_logs(RCorePluginSession *cps) {
}
}
} else if (!strcmp (role, "tool")) {
r_cons_printf (core->cons, "\x1b[1;35m[tool]:\x1b[0m ");
print_content_with_length (core, msg->content, "<no result>", true);
r_cons_printf (core->cons, "\x1b[1" Color_MAGENTA "[tool]:" Color_RESET " ");
print_content_with_length (core, msg->content, "<no result>");
// Don't show the tool call ID as requested
} else {
// Other roles (system, etc.)
r_cons_printf (core->cons, "\x1b[1;37m[%s]:\x1b[0m ", role);
print_content_with_length (core, msg->content, "<no content>", false);
r_cons_printf (core->cons, "\x1b[1" Color_WHITE "[%s]:" Color_RESET " ", role);
print_content_with_length (core, msg->content, "<no content>");
}
r_cons_newline (core->cons);
r_cons_flush (core->cons);
}
}
// Helper function to format conversation log as string
static char *format_conversation_log(RList *messages) {
RStrBuf *sb = r_strbuf_new ("");
r_strbuf_append (sb, "Conversation Log:\n");
RListIter *iter;
const R2AI_Message *msg;
r_list_foreach (messages, iter, msg) {
const char *role = msg->role;
if (!strcmp (role, "user")) {
r_strbuf_appendf (sb, "[user]: %s\n", msg->content? msg->content: "<no content>");
} else if (!strcmp (role, "assistant")) {
r_strbuf_appendf (sb, "[assistant]: %s\n", msg->content? msg->content: "<no content>");
// Include tool calls if present
if (msg->tool_calls && r_list_length (msg->tool_calls) > 0) {
RListIter *iter_tc;
R2AI_ToolCall *tc;
r_list_foreach (msg->tool_calls, iter_tc, tc) {
r_strbuf_appendf (sb, " [tool call]: %s\n", tc->name? tc->name: "<unnamed>");
if (tc->arguments) {
r_strbuf_appendf (sb, " %s\n", tc->arguments);
}
}
}
} else if (!strcmp (role, "tool")) {
r_strbuf_appendf (sb, "[tool]: %s\n", msg->content? msg->content: "<no result>");
} else {
r_strbuf_appendf (sb, "[%s]: %s\n", role, msg->content? msg->content: "<no content>");
}
}
return r_strbuf_drain (sb);
}
// Helper function to process conversation with LLM and handle result
static void process_conversation_with_llm(RCorePluginSession *cps, bool compact) {
RCore *core = cps->core;
R2AI_State *state = cps->data;
// Get conversation
RList *messages = r2ai_conversation_get (state);
if (!messages || r_list_empty (messages)) {
r_cons_printf (core->cons, "No conversation history available\n");
return;
}
// Format conversation as string
char *log_str = format_conversation_log (messages);
// Load the compact prompt from file
char *prompt_text = r2ai_load_prompt_text (core, "compact");
if (!prompt_text) {
// Fallback to hardcoded prompt
prompt_text = strdup (compact
? "Create a compact summary of this conversation that preserves all key information, insights, and context for future reference."
"Focus on essential details about the binary analysis, tools used, findings, and any important conclusions."
: "mai create a summary of all the information retrieved from the binary that is relevant for future work");
}
// Combine log and prompt
char *full_input = r_str_newf ("%s\n\n%s", log_str, prompt_text);
char *error = NULL;
char *res = r2ai (cps, (R2AIArgs){ .input = full_input, .error = &error, .dorag = false });
free (log_str);
free (full_input);
free (prompt_text);
if (error) {
R_LOG_ERROR ("%s", error);
free (error);
return;
}
if (res) {
if (compact) {
// Clear the conversation and add summary as system message
r2ai_msgs_clear (messages);
R2AI_Message summary_msg = {
.role = "system",
.content = res
};
r2ai_msgs_add (messages, &summary_msg);
r_cons_printf (core->cons, "Conversation compacted. Summary added to history.\n");
} else {
// Just print the result
r_cons_printf (core->cons, "%s\n", res);
}
free (res);
}
}
R_IPI void cmd_r2ai_c(RCorePluginSession *cps) {
process_conversation_with_llm (cps, true);
}
R_IPI void cmd_r2ai_lr(RCorePluginSession *cps) {
process_conversation_with_llm (cps, false);
}
+216
View File
@@ -0,0 +1,216 @@
/* r2ai - Copyright 2023-2025 pancake, dnakov */
#include "r2ai.h"
/* Gemini API implementation */
R_IPI R2AI_ChatResponse *r2ai_gemini(RCorePluginSession *cps, R2AIArgs args) {
RCore *core = cps->core;
args.model = r_config_get (core->config, "r2ai.model");
const char *base_url = r2ai_get_provider_url (core, args.provider);
const char *model_name = args.model && strstr (args.model, "gemini")? args.model: "gemini-2.0-flash-exp";
char **error = args.error;
// Create a temp conversation to include the system prompt and the rest of the messages
RList *temp_msgs = r2ai_msgs_new ();
if (!temp_msgs) {
if (error) {
*error = strdup ("Failed to create temporary messages array");
}
return NULL;
}
// Get system prompt
const char *system_prompt = NULL;
if (R_STR_ISNOTEMPTY (args.system_prompt)) {
system_prompt = args.system_prompt;
} else {
system_prompt = r_config_get (core->config, "r2ai.system");
}
if (args.messages) {
RListIter *iter;
R2AI_Message *msg;
r_list_foreach (args.messages, iter, msg) {
r2ai_msgs_add (temp_msgs, msg);
}
} else {
R_LOG_WARN ("No messages");
}
if (error) {
*error = NULL;
}
// Setup headers for Gemini API
const char **headers = NULL;
char *auth_header = NULL;
char *api_key_header = NULL;
if (R_STR_ISNOTEMPTY (args.api_key)) {
static const char *static_headers[] = { NULL, NULL, NULL };
headers = static_headers;
headers[0] = "Content-Type: application/json";
// Check if it's an OAuth token (starts with "ya29.")
if (r_str_startswith (args.api_key, "ya29.")) {
auth_header = r_str_newf ("Authorization: Bearer %s", args.api_key);
headers[1] = auth_header;
} else {
api_key_header = r_str_newf ("x-goog-api-key: %s", args.api_key);
headers[1] = api_key_header;
}
}
// Build Gemini API URL
char *gemini_url = r_str_newf ("%s/models/%s:generateContent?key=%s",
base_url, model_name, args.api_key);
// Create Gemini-style request JSON
PJ *pj = pj_new ();
pj_o (pj);
// Build contents array
pj_ka (pj, "contents");
RListIter *iter;
R2AI_Message *msg;
int msg_index = 0;
r_list_foreach (temp_msgs, iter, msg) {
pj_o (pj);
// Gemini uses "model" for assistant, "user" for user
const char *role = "user";
if (strcmp (msg->role, "assistant") == 0) {
role = "model";
}
pj_ks (pj, "role", role);
pj_ka (pj, "parts");
pj_o (pj);
// Prepend system prompt to first user message
char *content = NULL;
if (system_prompt && strcmp (msg->role, "user") == 0 && msg_index == 0) {
content = r_str_newf ("System: %s\n\n%s", system_prompt, msg->content? msg->content: "");
} else {
content = msg->content? strdup (msg->content): strdup ("");
}
pj_ks (pj, "text", content);
free (content);
pj_end (pj); // end parts object
pj_end (pj); // end parts array
pj_end (pj); // end content object
msg_index++;
}
pj_end (pj); // end contents array
// Add generation config
pj_ko (pj, "generationConfig");
if (args.max_tokens > 0) {
pj_kn (pj, "maxOutputTokens", args.max_tokens);
}
if (args.temperature > 0) {
pj_kd (pj, "temperature", args.temperature);
}
pj_end (pj); // end generationConfig
pj_end (pj); // end root object
char *request_json = pj_drain (pj);
// Debug: save request
char *tmpdir = r_file_tmpdir ();
char *req_path = r_str_newf ("%s" R_SYS_DIR "r2ai_gemini_request.json", tmpdir);
r_file_dump (req_path, (const ut8 *)request_json, strlen (request_json), 0);
free (req_path);
free (tmpdir);
// Make the API call
char *response = NULL;
int code = 0;
response = r2ai_http_post (core, gemini_url, headers, request_json, &code, NULL);
free (request_json);
free (gemini_url);
free (auth_header);
free (api_key_header);
if (code != 200) {
R_LOG_ERROR ("Gemini API error %d", code);
if (response) {
R_LOG_ERROR ("Gemini API error response: %s", response);
}
free (response);
r2ai_msgs_free (temp_msgs);
return NULL;
}
// Debug: save response
tmpdir = r_file_tmpdir ();
char *res_path = r_str_newf ("%s" R_SYS_DIR "r2ai_gemini_response.json", tmpdir);
r_file_dump (res_path, (const ut8 *)response, strlen (response), 0);
free (res_path);
free (tmpdir);
// Parse Gemini response
RJson *jres = r_json_parse (response);
if (!jres) {
if (error) {
*error = strdup ("Failed to parse Gemini response JSON");
}
free (response);
r2ai_msgs_free (temp_msgs);
return NULL;
}
// Extract response content
const RJson *candidates = r_json_get (jres, "candidates");
if (!candidates || candidates->type != R_JSON_ARRAY || candidates->children.count == 0) {
r_json_free (jres);
free (response);
r2ai_msgs_free (temp_msgs);
return NULL;
}
const RJson *candidate = r_json_item (candidates, 0);
const RJson *content = r_json_get (candidate, "content");
const RJson *parts = r_json_get (content, "parts");
if (!parts || parts->type != R_JSON_ARRAY || parts->children.count == 0) {
r_json_free (jres);
free (response);
r2ai_msgs_free (temp_msgs);
return NULL;
}
const RJson *part = r_json_item (parts, 0);
const RJson *text = r_json_get (part, "text");
char *response_text = NULL;
if (text && text->type == R_JSON_STRING) {
response_text = strdup (text->str_value);
}
r_json_free (jres);
free (response);
r2ai_msgs_free (temp_msgs);
if (!response_text) {
return NULL;
}
// Create response
R2AI_Message *message = R_NEW0 (R2AI_Message);
R2AI_Usage *usage = R_NEW0 (R2AI_Usage);
if (message) {
message->role = strdup ("assistant");
message->content = response_text;
}
R2AI_ChatResponse *result = R_NEW0 (R2AI_ChatResponse);
if (result) {
result->message = message;
result->usage = usage;
}
return result;
}
+240
View File
@@ -0,0 +1,240 @@
/* Copyright r2ai - 2023-2025 - pancake */
#define _GNU_SOURCE
// #define _POSIX_C_SOURCE 200809L
#include <signal.h>
#include "r2ai.h"
// Global flag for tracking interrupt status
static volatile sig_atomic_t r2ai_http_interrupted = 0;
// Helper function to get HTTP configuration with defaults
static R2AI_HttpConfig get_http_config(RCore *core) {
R2AI_HttpConfig config = { 120, 10, 30 };
if (core) {
int t = r_config_get_i (core->config, "r2ai.http.timeout");
if (t > 0) {
config.timeout = t;
}
int mr = r_config_get_i (core->config, "r2ai.http.max_retries");
if (mr >= 0) {
config.max_retries = mr;
}
int mb = r_config_get_i (core->config, "r2ai.http.max_backoff");
if (mb > 0) {
config.max_backoff = mb;
}
}
return config;
}
#if R2__UNIX__
// Signal handler for timeout (SIGALRM)
static void r2ai_http_sigint_handler(int sig) {
if (sig == SIGALRM) {
r2ai_http_interrupted = 1;
}
}
#endif
// Portable break callback for r_cons_break (handles SIGINT)
static void r2ai_http_break_callback(void *user) {
(void)user;
r2ai_http_interrupted = 1;
}
// Function pointer type for HTTP request implementations
typedef HttpResponse(*HttpRequestFunc)(const HTTPRequest *request);
// Simple retry sleep
static void sleep_retry(int retry_count, int max_sleep_seconds) {
int delay_seconds = retry_count + 1; // sleep 1, 2, 3, ... seconds
if (delay_seconds > max_sleep_seconds) {
delay_seconds = max_sleep_seconds;
}
r_sys_sleep (delay_seconds);
}
// Generic HTTP request with retry logic
static HttpResponse r2ai_http_request_with_retry(HttpRequestFunc func, const HTTPRequest *request, RCore *core) {
// Install portable break handler for interruption
if (core && core->cons) {
r_cons_break_push (core->cons, r2ai_http_break_callback, NULL);
}
// Reset interrupt flag
r2ai_http_interrupted = 0;
#if R2__UNIX__
// Ignore SIGWINCH to prevent window resize from interrupting child processes
struct sigaction old_winch_act;
sigaction (SIGWINCH, &(struct sigaction){ .sa_handler = SIG_IGN }, &old_winch_act);
#endif
// Retry loop
HttpResponse result = { 0 };
int retry_count = 0;
bool success = false;
while (!success && retry_count <= request->config.max_retries && !r2ai_http_interrupted) {
result = func (request);
// Check if we were interrupted
if (r2ai_http_interrupted) {
R_LOG_DEBUG ("HTTP request was interrupted by user");
free (result.body);
result.body = NULL;
result.code = -1;
break; // Exit the retry loop
}
// Check for rate limiting or server errors (429, 500, 502, 503, 504)
if (result.code > 0) {
if (result.code == 429 || (result.code >= 500 && result.code < 600)) {
R_LOG_WARN ("Server returned %d response code", result.code);
free (result.body);
result.body = NULL;
result.code = 0;
if (retry_count < request->config.max_retries) {
retry_count++;
R_LOG_INFO ("Retrying request (%d/%d) after error...", retry_count, request->config.max_retries);
sleep_retry (retry_count, request->config.max_backoff);
continue;
}
result.code = -1;
break; // Exit the retry loop after max retries
}
}
// Check for other failures
if (result.code <= 0 || !result.body) {
free (result.body);
result.body = NULL;
result.code = -1;
if (retry_count < request->config.max_retries) {
retry_count++;
R_LOG_INFO ("Retrying request (%d/%d) after failure...", retry_count, request->config.max_retries);
sleep_retry (retry_count, request->config.max_backoff);
continue;
}
break; // Exit the retry loop after max retries
}
success = true;
}
// Restore the original break handler
if (core && core->cons) {
r_cons_break_pop (core->cons);
}
#if R2__UNIX__
// Restore SIGWINCH handler
sigaction (SIGWINCH, &old_winch_act, NULL);
#endif
return result;
}
#include "http/libcurl.inc.c"
#include "http/pwsh.inc.c"
#include "http/curl.inc.c"
#include "http/r2.inc.c"
static HttpRequestFunc select_backend(const char *backend, bool is_post) {
HttpRequestFunc func = NULL;
if (!strcmp (backend, "auto")) {
#if R2__WINDOWS__
// TODO: we should use pwsh or r2 by default, but for not it seems the only backend that works on Windows is r2curl+system
r_sys_setenv ("R2_CURL", "1");
backend = "system";
#elif USE_LIBCURL && HAVE_LIBCURL
backend = "libcurl";
#else
backend = "system";
#endif
R_LOG_DEBUG ("Auto-selected %s backend", backend);
}
if (!strcmp (backend, "system") || !strcmp (backend, "curl")) {
func = is_post? system_curl_post: system_curl_get;
} else if (!strcmp (backend, "libcurl")) {
#if USE_LIBCURL && HAVE_LIBCURL
func = is_post? curl_http_post: curl_http_get;
#else
R_LOG_WARN ("LibCurl requested but not available, falling back to socket implementation");
func = is_post? socket_http_post_with_interrupt: socket_http_get_with_interrupt;
#endif
} else if (!strcmp (backend, "socket")) {
func = is_post? socket_http_post_with_interrupt: socket_http_get_with_interrupt;
} else if (!strcmp (backend, "pwsh") || !strcmp (backend, "powershell")) {
#if R2__WINDOWS__
func = is_post? windows_http_post: windows_http_get;
#else
R_LOG_WARN ("powershell is only available on Windows");
func = is_post? socket_http_post_with_interrupt: socket_http_get_with_interrupt;
#endif
} else if (!strcmp (backend, "r2curl")) {
r_sys_setenv ("R2_CURL", "1");
func = is_post? socket_http_post_with_interrupt: socket_http_get_with_interrupt;
}
return func;
}
// Generic HTTP request function that handles backend selection
static HttpResponse r2ai_http_request(const char *method, RCore *core, const char *url, const char *headers[], const char *data) {
(void)method;
bool is_post = (data != NULL);
HTTPRequest request = {
.config = get_http_config (core),
.url = url,
.data = data,
.headers = headers
};
const char *backend = r_config_get (core->config, "r2ai.http.backend");
HttpRequestFunc func = select_backend (backend, is_post);
if (func) {
return r2ai_http_request_with_retry (func, &request, core);
}
R_LOG_ERROR ("Cannot find a valid http backend");
return (HttpResponse){ .body = NULL, .code = -1, .length = 0 };
}
R_API char *r2ai_http_post(RCore *core, const char *url, const char *headers[], const char *data, int *code, int *rlen) {
HttpResponse response = r2ai_http_request ("POST", core, url, headers, data);
if (response.code <= 0) {
free (response.body);
if (code) {
*code = response.code;
}
return NULL;
}
if (code) {
*code = response.code;
}
if (rlen) {
*rlen = response.length;
}
return response.body;
}
R_API char *r2ai_http_get(RCore *core, const char *url, const char *headers[], int *code, int *rlen) {
HttpResponse response = r2ai_http_request ("GET", core, url, headers, NULL);
if (response.code <= 0) {
if (response.body) {
R_FREE (response.body);
}
if (code) {
*code = response.code;
}
return NULL;
}
if (code) {
*code = response.code;
}
if (rlen) {
*rlen = response.length;
}
return response.body;
}
+99
View File
@@ -0,0 +1,99 @@
// Helper to escape double quotes for cmd double-quoted strings
static char *escape_cmd_double_quotes(const char *str) {
if (!str) {
return NULL;
}
size_t len = strlen (str);
size_t count = 0;
for (size_t i = 0; i < len; i++) {
if (str[i] == '"') {
count++;
}
}
if (count == 0) {
return strdup (str);
}
char *escaped = malloc (len + count + 1);
if (!escaped) {
return NULL;
}
size_t j = 0;
for (size_t i = 0; i < len; i++) {
if (str[i] == '"') {
escaped[j++] = '\\';
escaped[j++] = '"';
} else {
escaped[j++] = str[i];
}
}
escaped[j] = '\0';
return escaped;
}
static HttpResponse build_and_execute_curl(const char *cmd_start, const HTTPRequest *request, const char *input_data) {
HttpResponse error = { .code = -1 };
int timeout = request->config.timeout;
if (!request->url) {
return error;
}
// Compose curl command
RStrBuf *cmd = r_strbuf_new (cmd_start);
// Add timeout
r_strbuf_appendf (cmd, " --connect-timeout %d --max-time %d", 10, timeout);
// Add headers
if (request->headers) {
for (int i = 0; request->headers[i] != NULL; i++) {
char *escaped_header = escape_cmd_double_quotes (request->headers[i]);
r_strbuf_appendf (cmd, " -H \"%s\"", escaped_header);
free (escaped_header);
}
}
char *escaped_url = escape_cmd_double_quotes (request->url);
r_strbuf_appendf (cmd, " -w \"\\n%%{http_code}\" \"%s\"", escaped_url);
free (escaped_url);
char *cmd_str = r_strbuf_drain (cmd);
R_LOG_DEBUG ("Running system curl: %s", cmd_str);
char *response = r_sys_cmd_str (cmd_str, input_data, NULL);
free (cmd_str);
if (!response) {
return error;
}
// Parse the response: body\ncode
char *last_nl = (char *)r_str_rchr (response, NULL, '\n');
int code = -1;
char *body = response;
if (last_nl) {
*last_nl = '\0';
code = atoi (last_nl + 1);
if (code == 0) {
code = -1; // Invalid code
}
} else {
// No newline, assume 200 if response
code = 200;
}
return (HttpResponse){ .body = body, .code = code, .length = strlen (body) };
}
HttpResponse system_curl_get(const HTTPRequest *request) {
R_LOG_DEBUG ("Using system curl GET");
return build_and_execute_curl ("curl -s", request, NULL);
}
HttpResponse system_curl_post(const HTTPRequest *request) {
HttpResponse error = { .code = -1 };
if (!request->url || !request->data) {
return error;
}
R_LOG_DEBUG ("Using system curl POST without files");
HttpResponse res = build_and_execute_curl ("curl -s -X POST -d @-", request, request->data);
return res;
}
+140
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@@ -0,0 +1,140 @@
#if HAVE_LIBCURL
#include <curl/curl.h>
// Struct to store response data
typedef struct {
char *data;
size_t size;
} CurlResponse;
// Callback function for curl to write response data
static size_t write_callback(void *contents, size_t size, size_t nmemb, void *userp) {
// Check if we've been interrupted
if (r2ai_http_interrupted) {
return 0; // Return 0 to abort the transfer
}
size_t realsize = size * nmemb;
CurlResponse *mem = (CurlResponse *)userp;
char *ptr = realloc (mem->data, mem->size + realsize + 1);
if (!ptr) {
R_LOG_ERROR ("Not enough memory for curl response");
return 0; // Out of memory
}
mem->data = ptr;
memcpy (&(mem->data[mem->size]), contents, realsize);
mem->size += realsize;
mem->data[mem->size] = 0;
return realsize;
}
// Curl progress callback function to handle interrupts
static int progress_callback(void *clientp, curl_off_t dltotal, curl_off_t dlnow, curl_off_t ultotal, curl_off_t ulnow) {
return r2ai_http_interrupted? 1: 0;
}
static HttpResponse curl_http_request(const HTTPRequest *request, bool is_post) {
HttpResponse error = { .code = -1 };
if (!request->url || (is_post && !request->data)) {
return error;
}
CURL *curl;
CURLcode res;
struct curl_slist *curl_headers = NULL;
CurlResponse response = { 0 };
// Initialize response
response.data = malloc (1);
if (!response.data) {
return error;
}
response.data[0] = '\0';
response.size = 0;
curl = curl_easy_init ();
if (!curl) {
free (response.data);
return error;
}
// Set URL
curl_easy_setopt (curl, CURLOPT_URL, request->url);
// Set method-specific options
if (is_post) {
curl_easy_setopt (curl, CURLOPT_POST, 1L);
curl_easy_setopt (curl, CURLOPT_POSTFIELDS, request->data);
curl_easy_setopt (curl, CURLOPT_POSTFIELDSIZE, (long)strlen (request->data));
} else {
curl_easy_setopt (curl, CURLOPT_HTTPGET, 1L);
}
// Set headers if provided
if (request->headers) {
for (int i = 0; request->headers[i] != NULL; i++) {
curl_headers = curl_slist_append (curl_headers, request->headers[i]);
}
curl_easy_setopt (curl, CURLOPT_HTTPHEADER, curl_headers);
}
// Set write callback
curl_easy_setopt (curl, CURLOPT_WRITEFUNCTION, write_callback);
curl_easy_setopt (curl, CURLOPT_WRITEDATA, (void *)&response);
// Set progress callback to handle interrupts
curl_easy_setopt (curl, CURLOPT_NOPROGRESS, 0L);
curl_easy_setopt (curl, CURLOPT_XFERINFOFUNCTION, progress_callback);
curl_easy_setopt (curl, CURLOPT_XFERINFODATA, NULL);
// Set timeout options
curl_easy_setopt (curl, CURLOPT_CONNECTTIMEOUT, 10L); // 10 seconds connect timeout
curl_easy_setopt (curl, CURLOPT_TIMEOUT, (long)request->config.timeout); // Use configured timeout
// Follow redirects
curl_easy_setopt (curl, CURLOPT_FOLLOWLOCATION, 1L);
// Perform the request
res = curl_easy_perform (curl);
// Check for interruption
if (r2ai_http_interrupted) {
R_LOG_DEBUG ("HTTP request was interrupted by user");
free (response.data);
curl_slist_free_all (curl_headers);
curl_easy_cleanup (curl);
return error;
}
// Get response code
long http_code;
curl_easy_getinfo (curl, CURLINFO_RESPONSE_CODE, &http_code);
// Check for errors
if (res != CURLE_OK) {
R_LOG_ERROR ("curl_easy_perform () failed: %s", curl_easy_strerror (res));
free (response.data);
curl_slist_free_all (curl_headers);
curl_easy_cleanup (curl);
return error;
}
// If we get here, the request was successful
// Cleanup
curl_slist_free_all (curl_headers);
curl_easy_cleanup (curl);
return (HttpResponse){ .body = response.data, .code = (int)http_code, .length = response.size };
}
HttpResponse curl_http_get(const HTTPRequest *request) {
return curl_http_request (request, false);
}
HttpResponse curl_http_post(const HTTPRequest *request) {
return curl_http_request (request, true);
}
#endif // HAVE_LIBCURL
+118
View File
@@ -0,0 +1,118 @@
#if R2__WINDOWS__
// Helper to escape single quotes for PowerShell single-quoted strings
static char *escape_single_quotes(const char *str) {
if (!str) {
return NULL;
}
size_t len = strlen (str);
size_t count = 0;
for (size_t i = 0; i < len; i++) {
if (str[i] == '\'') {
count++;
}
}
if (count == 0) {
return strdup (str);
}
char *escaped = malloc (len + count + 1);
if (!escaped) {
return NULL;
}
size_t j = 0;
for (size_t i = 0; i < len; i++) {
if (str[i] == '\'') {
escaped[j++] = '\'';
escaped[j++] = '\'';
} else {
escaped[j++] = str[i];
}
}
escaped[j] = '\0';
return escaped;
}
// Helper to append headers to PowerShell command
static void append_headers_to_cmd(RStrBuf *cmd, const char *const *headers) {
r_strbuf_appendf (cmd, "$headers=@{");
if (headers) {
for (int i = 0; headers[i]; i++) {
char *header = strdup (headers[i]);
char *colon = strchr (header, ':');
if (colon) {
*colon = '\0';
char *key = r_str_trim_dup (header);
char *value = r_str_trim_dup (colon + 1);
char *escaped_key = escape_single_quotes (key);
char *escaped_value = escape_single_quotes (value);
r_strbuf_appendf (cmd, "'%s'='%s';", escaped_key, escaped_value);
free (escaped_key);
free (escaped_value);
free (key);
free (value);
}
free (header);
}
}
r_strbuf_appendf (cmd, "};");
}
// Helper to parse PowerShell response
static HttpResponse parse_powershell_response(char *full_response) {
if (full_response) {
char *newline = strchr (full_response, '\n');
if (newline) {
*newline = '\0';
int code = atoi (full_response);
char *body = newline + 1;
char *body_copy = strdup (body);
size_t length = strlen (body);
free (full_response);
return (HttpResponse){ .body = body_copy, .code = code, .length = length };
} else {
return (HttpResponse){ .body = full_response, .code = 200, .length = strlen (full_response) };
}
}
return (HttpResponse){ .code = -1 };
}
/**
* Windows-specific HTTP POST using PowerShell
*/
HttpResponse windows_http_post(const HTTPRequest *request) {
const char *url = request->url;
const char *const *headers = request->headers;
const char *data = request->data;
int timeout = request->config.timeout;
char *escaped_url = escape_single_quotes (url);
char *escaped_data = escape_single_quotes (data);
RStrBuf *cmd = r_strbuf_new ("powershell -Command \"");
append_headers_to_cmd (cmd, headers);
r_strbuf_appendf (cmd, "$body='%s';", escaped_data);
r_strbuf_appendf (cmd, "try{$r=Invoke-WebRequest -Method Post -Uri '%s' -Headers $headers -Body $body -TimeoutSec %d;", escaped_url, timeout);
r_strbuf_appendf (cmd, "Write-Host $r.StatusCode;$r.Content}catch{Write-Host 0;$_.Exception.Message}\"");
char *cmd_str = r_strbuf_drain (cmd);
R_LOG_DEBUG ("Running PowerShell: %s", cmd_str);
char *full_response = r_sys_cmd_str (cmd_str, NULL, NULL);
free (cmd_str);
return parse_powershell_response (full_response);
}
/**
* Windows-specific HTTP GET using PowerShell
*/
HttpResponse windows_http_get(const HTTPRequest *request) {
const char *url = request->url;
const char *const *headers = request->headers;
int timeout = request->config.timeout;
char *escaped_url = escape_single_quotes (url);
RStrBuf *cmd = r_strbuf_new ("powershell -Command \"");
append_headers_to_cmd (cmd, headers);
r_strbuf_appendf (cmd, "try{$r=Invoke-WebRequest -Method Get -Uri '%s' -Headers $headers -TimeoutSec %d;", escaped_url, timeout);
r_strbuf_appendf (cmd, "Write-Host $r.StatusCode;$r.Content}catch{Write-Host 0;$_.Exception.Message}\"");
char *cmd_str = r_strbuf_drain (cmd);
R_LOG_DEBUG ("Running PowerShell: %s", cmd_str);
char *full_response = r_sys_cmd_str (cmd_str, NULL, NULL);
free (cmd_str);
return parse_powershell_response (full_response);
}
#endif
+49
View File
@@ -0,0 +1,49 @@
extern volatile sig_atomic_t r2ai_http_interrupted;
extern void r2ai_http_sigint_handler(int sig);
// Socket implementation with interrupt handling and retry logic
static HttpResponse socket_http_post_with_interrupt(const HTTPRequest *request) {
#if R2__WINDOWS__
r_sys_setenv ("R2_CURL", "1");
#endif
#if R2__UNIX__
signal (SIGALRM, r2ai_http_sigint_handler);
alarm (request->config.timeout); // Use configured timeout
#endif
int code = 0;
int rlen = 0;
char *result = r_socket_http_post (request->url, (const char **)request->headers, request->data, &code, &rlen);
#if R2__UNIX__
alarm (0);
#endif
if (r2ai_http_interrupted) {
R_LOG_DEBUG ("HTTP request was interrupted by user");
free (result);
return (HttpResponse){ .body = NULL, .code = -1, .length = 0 };
}
return (HttpResponse){ .body = result, .code = code, .length = rlen };
}
// Socket implementation for GET requests
static HttpResponse socket_http_get_with_interrupt(const HTTPRequest *request) {
#if R2__WINDOWS__
r_sys_setenv ("R2_CURL", "1");
#endif
#if R2__UNIX__
signal (SIGALRM, r2ai_http_sigint_handler);
alarm (request->config.timeout); // Use configured timeout
#endif
// Make the request - use r_socket_http_get if available
int code = 0;
int rlen = 0;
char *result = r_socket_http_get (request->url, (const char **)request->headers, &code, &rlen);
#if R2__UNIX__
alarm (0);
#endif
if (r2ai_http_interrupted) {
R_LOG_DEBUG ("HTTP request was interrupted by user");
free (result);
return (HttpResponse){ .body = NULL, .code = -1, .length = 0 };
}
return (HttpResponse){ .body = result, .code = code, .length = rlen };
}
+151
View File
@@ -0,0 +1,151 @@
#include "r2ai.h"
// TODO: move into r2/libr/util/json.c
//
// Helper function to convert RJson to PJ without draining
R_API PJ *r_json_to_pj(const RJson *json, PJ *existing_pj) {
if (!json) {
return existing_pj;
}
PJ *pj = existing_pj? existing_pj: pj_new ();
if (!pj) {
return NULL;
}
switch (json->type) {
case R_JSON_STRING:
pj_s (pj, json->str_value);
break;
case R_JSON_INTEGER:
pj_n (pj, json->num.u_value);
break;
case R_JSON_DOUBLE:
pj_d (pj, json->num.dbl_value);
break;
case R_JSON_BOOLEAN:
pj_b (pj, json->num.u_value);
break;
case R_JSON_NULL:
pj_null (pj);
break;
case R_JSON_OBJECT:
if (!existing_pj) {
pj_o (pj);
}
// Handle object's properties
const RJson *prop = json->children.first;
while (prop) {
if (prop->key) {
switch (prop->type) {
case R_JSON_STRING:
pj_ks (pj, prop->key, prop->str_value);
break;
case R_JSON_INTEGER:
pj_kn (pj, prop->key, prop->num.u_value);
break;
case R_JSON_DOUBLE:
pj_kd (pj, prop->key, prop->num.dbl_value);
break;
case R_JSON_BOOLEAN:
pj_kb (pj, prop->key, prop->num.u_value);
break;
case R_JSON_NULL:
pj_knull (pj, prop->key);
break;
case R_JSON_OBJECT:
pj_ko (pj, prop->key);
if (!r_json_to_pj (prop, pj)) {
if (!existing_pj) {
pj_free (pj);
}
return NULL;
}
pj_end (pj);
break;
case R_JSON_ARRAY:
pj_ka (pj, prop->key);
if (!r_json_to_pj (prop, pj)) {
if (!existing_pj) {
pj_free (pj);
}
return NULL;
}
pj_end (pj);
break;
default:
break;
}
}
prop = prop->next;
}
if (!existing_pj) {
pj_end (pj);
}
break;
case R_JSON_ARRAY:
if (!existing_pj) {
pj_a (pj);
}
// Handle array items
const RJson *item = json->children.first;
while (item) {
switch (item->type) {
case R_JSON_STRING:
pj_s (pj, item->str_value);
break;
case R_JSON_INTEGER:
pj_n (pj, item->num.u_value);
break;
case R_JSON_DOUBLE:
pj_d (pj, item->num.dbl_value);
break;
case R_JSON_BOOLEAN:
pj_b (pj, item->num.u_value);
break;
case R_JSON_NULL:
pj_null (pj);
break;
case R_JSON_OBJECT:
pj_o (pj);
if (!r_json_to_pj (item, pj)) {
if (!existing_pj) {
pj_free (pj);
}
return NULL;
}
pj_end (pj);
break;
case R_JSON_ARRAY:
pj_a (pj);
if (!r_json_to_pj (item, pj)) {
if (!existing_pj) {
pj_free (pj);
}
return NULL;
}
pj_end (pj);
break;
default:
break;
}
item = item->next;
}
if (!existing_pj) {
pj_end (pj);
}
break;
default:
if (!existing_pj) {
pj_free (pj);
}
return NULL;
}
return pj;
}
// Helper function to clone RJson to string
R_API char *r_json_to_string(const RJson *json) {
PJ *pj = r_json_to_pj (json, NULL);
return pj? pj_drain (pj): NULL;
}
+125 -104
View File
@@ -5,16 +5,17 @@
#include <string.h>
static const R2AIProvider r2ai_providers[] = {
{ "openai", "https://api.openai.com/v1", true, false, false, false },
{ "gemini", "https://generativelanguage.googleapis.com/v1beta/openai", true, false, false, false },
{ "anthropic", "https://api.anthropic.com/v1", true, true, false, false },
{ "ollama", "http://localhost:11434/api", false, false, true, true },
{ "openapi", "http://127.0.0.1:11434", false, false, false, false },
{ "xai", "https://api.x.ai/v1", true, false, false, false },
{ "openrouter", "https://openrouter.ai/api/v1", true, false, false, false },
{ "groq", "https://api.groq.com/openai/v1", true, false, false, false },
{ "mistral", "https://api.mistral.ai/v1", true, false, false, false },
{ NULL, NULL, false, false, false, false } // sentinel
{ "openai", "https://api.openai.com/v1", R2AI_API_OPENAI_COMPATIBLE, true, true },
{ "gemini", "https://generativelanguage.googleapis.com/v1beta", R2AI_API_GEMINI, true, false },
{ "anthropic", "https://api.anthropic.com/v1", R2AI_API_ANTHROPIC, true, false },
{ "ollama", "http://localhost:11434/api", R2AI_API_OLLAMA, false, true },
{ "openapi", "http://127.0.0.1:11434", R2AI_API_OPENAI_COMPATIBLE, false, false },
{ "xai", "https://api.x.ai/v1", R2AI_API_OPENAI_COMPATIBLE, true, true },
{ "openrouter", "https://openrouter.ai/api/v1", R2AI_API_OPENAI_COMPATIBLE, true, true },
{ "groq", "https://api.groq.com/openai/v1", R2AI_API_OPENAI_COMPATIBLE, true, true },
{ "mistral", "https://api.mistral.ai/v1", R2AI_API_OPENAI_COMPATIBLE, true, true },
{ "deepseek", "https://api.deepseek.com/v1", R2AI_API_OPENAI_COMPATIBLE, true, true },
{ NULL, NULL, R2AI_API_OPENAI_COMPATIBLE, false, false } // sentinel
};
R_IPI const R2AIProvider *r2ai_get_provider(const char *name) {
@@ -39,7 +40,7 @@ R_IPI R2AI_ChatResponse *r2ai_llmcall(RCorePluginSession *cps, R2AIArgs args) {
if (!provider) {
provider = "gemini";
}
if (rawtools_enabled && args.tools && args.tools->n_tools > 0) {
if (rawtools_enabled && args.tools && r_list_length (args.tools) > 0) {
return r2ai_rawtools_llmcall (cps, args);
}
R2AI_State *state = cps->data;
@@ -68,7 +69,7 @@ R_IPI R2AI_ChatResponse *r2ai_llmcall(RCorePluginSession *cps, R2AIArgs args) {
char *api_key = NULL;
if (prov->requires_api_key) {
api_key = r2ai_get_api_key (core, provider);
api_key = r2ai_apikeys_get (provider);
if (api_key) {
args.api_key = api_key;
}
@@ -78,9 +79,7 @@ R_IPI R2AI_ChatResponse *r2ai_llmcall(RCorePluginSession *cps, R2AIArgs args) {
if (R_STR_ISEMPTY (args.api_key)) {
char *Provider = strdup (provider);
r_str_case (Provider, true);
R_LOG_ERROR ("No API key found for %s provider. Please set one with: r2ai "
"%s_API_KEY=YOUR_KEY",
provider, Provider);
R_LOG_ERROR ("No API key found for the %s provider. Use r2ai -K", provider);
free (Provider);
return NULL;
}
@@ -115,7 +114,7 @@ R_IPI R2AI_ChatResponse *r2ai_llmcall(RCorePluginSession *cps, R2AIArgs args) {
}
char *m = r_strbuf_drain (sb);
R2AI_Message msg = { .role = "user", .content = m };
context_pullback = r_list_length (args.messages->messages);
context_pullback = r_list_length (args.messages);
r2ai_msgs_add (args.messages, &msg);
free (m);
// TODO: we can save the msg without context
@@ -131,13 +130,25 @@ R_IPI R2AI_ChatResponse *r2ai_llmcall(RCorePluginSession *cps, R2AIArgs args) {
args.thinking_tokens = r_config_get_i (core->config, "r2ai.thinking_tokens");
const R2AIProvider *p = r2ai_get_provider (provider);
if (p && p->uses_anthropic_header) {
if (!p) {
return NULL;
}
switch (p->api_type) {
case R2AI_API_ANTHROPIC:
res = r2ai_anthropic (cps, args);
} else {
break;
case R2AI_API_GEMINI:
res = r2ai_gemini (cps, args);
break;
case R2AI_API_OPENAI_COMPATIBLE:
case R2AI_API_OLLAMA:
default:
res = r2ai_openai (cps, args);
break;
}
if (context_pullback != -1) {
R2AI_Message *msg = r_list_get_n (args.messages->messages, context_pullback);
R2AI_Message *msg = r_list_get_n (args.messages, context_pullback);
free ((char *)msg->content);
msg->content = strdup (args.input);
}
@@ -150,33 +161,6 @@ R_IPI R2AI_ChatResponse *r2ai_llmcall(RCorePluginSession *cps, R2AIArgs args) {
return res;
}
/* Return a malloc'd API key read from the environment or from ~/.r2ai.<provider>-key
* Caller is responsible for freeing the returned string (or NULL if not found). */
R_IPI char *r2ai_get_api_key(RCore *core, const char *provider) {
(void)core;
char *api_key = NULL;
char *api_key_env = r_str_newf ("%s_API_KEY", provider);
r_str_case (api_key_env, true);
char *s = r_sys_getenv (api_key_env);
free (api_key_env);
if (R_STR_ISNOTEMPTY (s)) {
api_key = s;
} else {
free (s);
char *api_key_filename = r_str_newf ("~/.r2ai.%s-key", provider);
char *absolute_apikey = r_file_abspath (api_key_filename);
if (r_file_exists (absolute_apikey)) {
api_key = r_file_slurp (absolute_apikey, NULL);
if (api_key) {
r_str_trim (api_key);
}
}
free (api_key_filename);
free (absolute_apikey);
}
return api_key;
}
R_IPI const char *r2ai_get_provider_url(RCore *core, const char *provider) {
const R2AIProvider *p = r2ai_get_provider (provider);
if (!p) {
@@ -184,41 +168,30 @@ R_IPI const char *r2ai_get_provider_url(RCore *core, const char *provider) {
}
// Handle providers that support custom baseurl
if (!strcmp (provider, "openai") || !strcmp (provider, "ollama")) {
if (p->supports_custom_baseurl) {
const char *host = r_config_get (core->config, "r2ai.baseurl");
if (R_STR_ISNOTEMPTY (host)) {
if (r_str_startswith (host, "http")) {
if (!strcmp (provider, "openai")) {
if (p->api_type == R2AI_API_OPENAI_COMPATIBLE) {
return r_str_newf ("%s/v1", host);
} else {
return r_str_newf ("%s/api", host);
}
return r_str_newf ("%s/api", host);
}
if (!strcmp (provider, "openai")) {
if (p->api_type == R2AI_API_OPENAI_COMPATIBLE) {
return r_str_newf ("http://%s/v1", host);
} else {
return r_str_newf ("http://%s/api", host);
}
return r_str_newf ("http://%s/api", host);
}
}
return p->url;
}
R_IPI RList *r2ai_fetch_available_models(RCore *core, const char *provider) {
const char *purl = r2ai_get_provider_url (core, provider);
if (!purl) {
if (!provider) {
return NULL;
}
// Create models endpoint URL
char *models_url = NULL;
const R2AIProvider *prov = r2ai_get_provider (provider);
if (prov && prov->uses_tags_endpoint) {
models_url = r_str_newf ("%s/tags", purl);
} else {
models_url = r_str_newf ("%s/models", purl);
}
if (!models_url) {
const char *purl = r2ai_get_provider_url (core, provider);
if (!purl) {
return NULL;
}
@@ -227,42 +200,60 @@ R_IPI RList *r2ai_fetch_available_models(RCore *core, const char *provider) {
const R2AIProvider *p = r2ai_get_provider (provider);
if (p && p->requires_api_key) {
// Consolidated helper to fetch the API key from env or file
api_key = r2ai_get_api_key (core, provider);
api_key = r2ai_apikeys_get (provider);
}
char *models_url = NULL;
int code = 0;
char *response = NULL;
if (api_key) {
const char *headers[4] = { "Content-Type: application/json", NULL, NULL, NULL };
char *auth_header = NULL;
char *version_header = NULL;
const R2AIProvider *prov = r2ai_get_provider (provider);
if (prov && prov->uses_anthropic_header) {
// Anthropic uses different header format
auth_header = r_str_newf ("x-api-key: %s", api_key);
version_header = strdup ("anthropic-version: 2023-06-01");
headers[1] = auth_header;
headers[2] = version_header;
} else {
// Standard OpenAI-compatible format
auth_header = r_str_newf ("Authorization: Bearer %s", api_key);
headers[1] = auth_header;
// Special handling for Gemini
if (!strcmp (provider, "gemini")) {
if (!api_key) {
return NULL;
}
// Make HTTP GET request
R_LOG_DEBUG ("GET %s Headers: %s", models_url, headers);
response = r2ai_http_get (core, models_url, headers, &code, NULL);
free (auth_header);
free (version_header);
free (api_key);
} else {
// We have no headers
models_url = r_str_newf ("%s/models?key=%s", purl, api_key);
const char *headers[2] = { "Content-Type: application/json", NULL };
R_LOG_DEBUG ("GET %s", models_url);
response = r2ai_http_get (core, models_url, NULL, &code, NULL);
response = r2ai_http_get (core, models_url, headers, &code, NULL);
} else {
// Create models endpoint URL
const R2AIProvider *prov = r2ai_get_provider (provider);
const bool usetags = (prov && prov->api_type == R2AI_API_OLLAMA);
models_url = r_str_newf ("%s/%s", purl, usetags? "tags": "models");
if (api_key) {
const char *headers[4] = { "Content-Type: application/json", NULL, NULL, NULL };
char *auth_header = NULL;
char *version_header = NULL;
const R2AIProvider *prov = r2ai_get_provider (provider);
if (prov && prov->api_type == R2AI_API_ANTHROPIC) {
// Anthropic uses different header format
auth_header = r_str_newf ("x-api-key: %s", api_key);
version_header = strdup ("anthropic-version: 2023-06-01");
headers[1] = auth_header;
headers[2] = version_header;
} else {
// Standard OpenAI-compatible format
auth_header = r_str_newf ("Authorization: Bearer %s", api_key);
headers[1] = auth_header;
}
// Make HTTP GET request
R_LOG_DEBUG ("GET %s Headers: %s", models_url, headers);
response = r2ai_http_get (core, models_url, headers, &code, NULL);
free (auth_header);
free (version_header);
} else {
// We have no headers
R_LOG_DEBUG ("GET %s", models_url);
response = r2ai_http_get (core, models_url, NULL, &code, NULL);
}
}
free (models_url);
free (api_key);
if (!response || code != 200) {
R_LOG_DEBUG ("Failed to fetch models from %s (code: %d)", provider, code);
@@ -279,26 +270,57 @@ R_IPI RList *r2ai_fetch_available_models(RCore *core, const char *provider) {
RJson *json = r_json_parse (response);
if (json) {
const RJson *data;
const R2AIProvider *prov = r2ai_get_provider (provider);
if (prov && prov->uses_tags_endpoint) {
const RJson *data = NULL;
if (!strcmp (provider, "gemini")) {
// Gemini has "models" array directly
data = r_json_get (json, "models");
} else {
data = r_json_get (json, "data");
const R2AIProvider *prov = r2ai_get_provider (provider);
const bool usetags = (prov && prov->api_type == R2AI_API_OLLAMA);
data = r_json_get (json, usetags? "models": "data");
}
if (data && data->type == R_JSON_ARRAY) {
const RJson *model_item = data->children.first;
while (model_item) {
const RJson *id;
if (prov && prov->uses_tags_endpoint) {
id = r_json_get (model_item, "model");
const RJson *id = NULL;
char *model_id = NULL;
if (!strcmp (provider, "gemini")) {
// Gemini: extract model ID from "name" field (e.g., "models/gemini-1.5-flash" -> "gemini-1.5-flash")
const RJson *name = r_json_get (model_item, "name");
if (name && name->type == R_JSON_STRING && R_STR_ISNOTEMPTY (name->str_value)) {
char *s = strdup (name->str_value);
RList *parts = r_str_split_list (s, "/", 0);
if (parts && r_list_length (parts) > 1) {
model_id = strdup ((char *)r_list_get_n (parts, r_list_length (parts) - 1));
} else {
model_id = strdup (name->str_value);
}
r_list_free (parts);
// Only include Gemini models
if (!strstr (model_id, "gemini")) {
free (model_id);
model_id = NULL;
}
free (s);
}
} else {
id = r_json_get (model_item, "id");
const R2AIProvider *prov = r2ai_get_provider (provider);
if (prov && prov->api_type == R2AI_API_OLLAMA) {
id = r_json_get (model_item, "model");
} else {
id = r_json_get (model_item, "id");
}
if (id && id->type == R_JSON_STRING && R_STR_ISNOTEMPTY (id->str_value)) {
model_id = strdup (id->str_value);
}
}
if (id && id->type == R_JSON_STRING && R_STR_ISNOTEMPTY (id->str_value)) {
R_LOG_DEBUG ("Model: %s", id->str_value);
r_list_append (models, strdup (id->str_value));
if (model_id) {
R_LOG_DEBUG ("Model: %s", model_id);
r_list_append (models, model_id);
}
model_item = model_item->next;
}
@@ -311,8 +333,7 @@ R_IPI RList *r2ai_fetch_available_models(RCore *core, const char *provider) {
}
R_IPI void r2ai_list_providers(RCore *core, RStrBuf *sb) {
size_t i;
for (i = 0; r2ai_providers[i].name; i++) {
for (size_t i = 0; r2ai_providers[i].name; i++) {
if (sb) {
if (i > 0) {
r_strbuf_append (sb, ", ");
+195 -55
View File
@@ -2,38 +2,118 @@
#include "r2ai_priv.h"
#define CLIPPY "?E"
// #define CLIPPY "?EC" // pico le croco
static void show_help() {
printf ("Usage: r2ai [-vhp:m:q:E] <prompt>\n"
" -v Show version information\n"
" -h Show this help message\n"
" -p <provider> Select LLM provider\n"
" -m <model> Select LLM model\n"
" -q <query> Execute predefined prompt query (can be used multiple times)\n"
" -E Edit the r2ai rc file\n");
printf (
"Usage: r2ai [-vhp:m:q:Eb:Kc:f:ie] <prompt>\n"
" -v Show version information\n"
" -h Show this help message\n"
" -p <provider> Select LLM provider\n"
" -m <model> Select LLM model\n"
" -q <query> Execute predefined prompt query (can be used multiple times)\n"
" -b <url> Set base URL for provider API\n"
" -c <command> Execute command after loading file (can be used multiple times)\n"
" -f <file> Load file with r2 API\n"
" -i <script> Load and interpret script file before executing commands\n"
" -e <var=value> Set configuration variable\n"
" -E Edit the r2ai rc file\n"
" -K Edit the API keys file\n");
}
static void show_version() {
printf ("r2ai " R2AI_VERSION "\n");
}
static char *build_conversation(RList *conversation) {
RListIter *iter;
char *msg;
RStrBuf *sb = r_strbuf_new ("");
r_list_foreach (conversation, iter, msg) {
r_strbuf_appendf (sb, "%s\n", msg);
}
return r_strbuf_drain (sb);
}
static void r2ai_repl(RCorePluginSession *cps, const char *provider, const char *model, RList *conversation) {
RCore *core = cps->core;
r_line_set_prompt (core->cons->line, "[r2ai]> ");
while (true) {
const char *input = r_line_readline (core->cons);
if (r_cons_is_breaked (core->cons) || R_STR_ISEMPTY (input)) {
break;
}
if (input[0] == '!') {
// Execute shell command
system (input + 1);
} else if (input[0] == ':') {
// Run radare2 command
char *res = r_core_cmd_str (core, input + 1);
if (res) {
r_cons_println (core->cons, res);
free (res);
}
} else if (input[0] == 'q') {
if (r_cons_yesno (core->cons, 'y', "Do you want to quit? (Y/n)")) {
break;
}
} else if (input[0] == '-') {
cmd_r2ai (cps, input);
} else {
// Send message to LLM as part of conversation
r_list_append (conversation, r_str_newf ("User: %s", input));
char *full_prompt = build_conversation (conversation);
char *err = NULL;
R2AIArgs args = {
.input = full_prompt,
.provider = provider,
.model = model,
.error = &err,
.dorag = false,
};
char *res = r2ai (cps, args);
if (res) {
if (r_config_get_b (core->config, "r2ai.clippy")) {
char *cmd = r_str_newf (CLIPPY " %s", res);
r_core_cmd_call (core, cmd);
free (cmd);
} else {
r_cons_println (core->cons, res);
r_list_append (conversation, r_str_newf ("Assistant: %s", res));
}
free (res);
}
if (err) {
r_cons_println (core->cons, err);
free (err);
}
free (full_prompt);
}
r_cons_flush (core->cons);
}
}
int main(int argc, const char **argv) {
int c;
const char *provider = NULL;
const char *model = NULL;
const char *baseurl = NULL;
const char *filename = NULL;
const char *scriptfile = NULL;
RList *conversation = r_list_newf (free);
RList *queries = r_list_newf (free);
RList *commands = r_list_newf (free);
RCore *core = r_core_new ();
RCorePluginSession cps = {
.core = core
};
r2ai_init (&cps);
RGetopt opt;
r_getopt_init (&opt, argc, argv, "vhp:m:q:E");
r_getopt_init (&opt, argc, argv, "vhp:m:q:Eb:Kc:f:ie:");
while ((c = r_getopt_next (&opt)) != -1) {
switch (c) {
case 'v':
show_version ();
r_list_free (queries);
return 0;
case 'h':
show_help ();
r_list_free (queries);
return 0;
case 'p':
provider = opt.arg;
break;
@@ -43,33 +123,95 @@ int main(int argc, const char **argv) {
case 'q':
r_list_append (queries, strdup (opt.arg));
break;
case 'b':
baseurl = opt.arg;
break;
case 'c':
r_list_append (commands, strdup (opt.arg));
break;
case 'f':
filename = opt.arg;
break;
case 'i':
scriptfile = opt.arg;
break;
case 'e':
{
char *var_value = strdup (opt.arg);
char *equals = strchr (var_value, '=');
if (equals) {
*equals = '\0';
const char *var = var_value;
const char *value = equals + 1;
r_config_set (core->config, var, value);
} else {
r_cons_println (core->cons, "Invalid format for -e. Use var=value.");
}
free (var_value);
}
break;
case 'E':
{
RCore *core = r_core_new ();
RCorePluginSession cps = {
.core = core
};
r2ai_init (&cps);
char *rc_path = r_file_home (".config/r2ai/rc");
r_cons_editor (core->cons, rc_path, NULL);
free (rc_path);
r_list_free (queries);
r2ai_fini (&cps);
r_core_free (core);
return 0;
goto beach;
}
break;
case 'K':
{
r2ai_apikeys_edit (&cps);
goto beach;
}
break;
case 'v':
show_version ();
goto beach;
case 'h':
show_help ();
goto beach;
default:
show_help ();
r_list_free (queries);
return 1;
goto beach;
}
}
RCore *core = r_core_new ();
RCorePluginSession cps = {
.core = core
};
r2ai_init (&cps);
if (baseurl) {
r_config_set (core->config, "r2ai.baseurl", baseurl);
}
if (filename) {
char *cmd = r_str_newf ("o %s", filename);
r_core_cmd_call (core, cmd);
free (cmd);
// TODO: use the C api instead of the 'o' command and check for error if file exists etc
} else {
r_core_cmd0 (core, CLIPPY " Interesting, no files to analyse. Use -f or :o");
r_cons_flush (core->cons);
}
if (scriptfile) {
char *cmd = r_str_newf (". %s", scriptfile);
r_core_cmd_call (core, cmd);
free (cmd);
}
if (!r_list_empty (commands)) {
RListIter *iter;
char *cmd;
r_list_foreach (commands, iter, cmd) {
char *res = r_core_cmd_str (core, cmd);
if (res) {
r_cons_println (core->cons, res);
free (res);
}
}
}
r_config_set_b (core->config, "r2ai.utf8", false);
r_config_set_b (core->config, "r2ai.clippy", true);
if (provider) {
r_config_set (core->config, "r2ai.api", provider);
}
if (model) {
r_config_set (core->config, "r2ai.model", model);
}
// Process queries if any
if (!r_list_empty (queries)) {
@@ -80,34 +222,32 @@ int main(int argc, const char **argv) {
}
} else {
if (opt.ind >= argc) {
// List available prompts
r2ai_cmd_q (&cps, "");
r_list_free (queries);
r2ai_fini (&cps);
r_core_free (core);
return 0;
}
r2ai_repl (&cps, provider, model, conversation);
} else {
const char *prompt = argv[opt.ind];
const char *prompt = argv[opt.ind];
char *err = NULL;
R2AIArgs args = {
.input = prompt,
.provider = provider,
.model = model,
.error = &err,
.dorag = false,
};
char *res = r2ai (&cps, args);
if (res) {
r_cons_println (core->cons, res);
free (res);
char *err = NULL;
R2AIArgs args = {
.input = prompt,
.provider = provider,
.model = model,
.error = &err,
.dorag = false,
};
char *res = r2ai (&cps, args);
if (res) {
r_cons_println (core->cons, res);
free (res);
}
free (err);
r_cons_flush (core->cons);
}
free (err);
r_cons_flush (core->cons);
}
beach:
r_list_free (conversation);
r_list_free (queries);
r_list_free (commands);
r2ai_fini (&cps);
r_core_free (core);
return 0;
+13 -13
View File
@@ -28,20 +28,20 @@ R_API RMarkdownTheme r2ai_markdown_theme_default(void) {
.code_inline = "\x1b[48;5;236m", // Dark gray background for inline code
.code_block = "\x1b[48;5;235m", // Slightly darker gray for code blocks
// Heading colors
.heading1 = "\x1b[1;4;31m", // Bold, underlined, red
.heading2 = "\x1b[1;4;32m", // Bold, underlined, green
.heading3 = "\x1b[1;4;33m", // Bold, underlined, yellow
.heading4 = "\x1b[1;4;34m", // Bold, underlined, blue
.heading5 = "\x1b[1;4;35m", // Bold, underlined, magenta
.heading6 = "\x1b[1;4;36m", // Bold, underlined, cyan
// List items
.heading1 = "\x1b[1;4" Color_RED, // Bold, underlined, red
.heading2 = "\x1b[1;4" Color_GREEN, // Bold, underlined, green
.heading3 = "\x1b[1;4" Color_YELLOW, // Bold, underlined, yellow
.heading4 = "\x1b[1;4" Color_BLUE, // Bold, underlined, blue
.heading5 = "\x1b[1;4" Color_MAGENTA, // Bold, underlined, magenta
.heading6 = "\x1b[1;4" Color_CYAN, // Bold, underlined, cyan
// List items
.list_bullet = "• ", // Bullet character
.list_number = "\x1b[1m%s.\x1b[0m ", // Bold number
// Checkbox states
.checkbox_checked = "\x1b[32m[✓]\x1b[0m ", // Green checkmark
.checkbox_unchecked = "\x1b[90m[ ]\x1b[0m ", // Gray empty box
// Reset code
.reset = "\x1b[0m"
.list_number = "\x1b[1m%s." Color_RESET " ", // Bold number
// Checkbox states
.checkbox_checked = Color_GREEN "[✓]" Color_RESET " ", // Green checkmark
.checkbox_unchecked = Color_GRAY "[ ]" Color_RESET " ", // Gray empty box
// Reset code
.reset = Color_RESET
};
return theme;
}
+14 -11
View File
@@ -1,5 +1,5 @@
project('r2ai', 'c',
version : '1.2.2',
version : '1.3.2',
default_options : ['warning_level=2', 'c_std=c11']
)
@@ -185,18 +185,21 @@ elif cc.get_id() == 'msvc'
endif
srcs = files(
'r2ai.c',
'auto.c',
'vdb.c',
'llm.c',
'tools.c',
'query.c',
'rawtools.c',
'messages.c',
'anthropic.c',
'r2ai_http.c',
'openai.c',
'auto.c',
'apikeys.c',
'gemini.c',
'http.c',
'json.c',
'llm.c',
'markdown.c',
'messages.c',
'openai.c',
'query.c',
'r2ai.c',
'rawtools.c',
'tools.c',
'vdb.c',
)
# Shared library (plugin)
+139 -343
View File
@@ -2,14 +2,35 @@
#include "r2ai.h"
#define INITIAL_CAPACITY 8
#define GROWTH_FACTOR 1.5
R_API void r2ai_tool_call_free(R2AI_ToolCall *tc) {
if (tc) {
free ((void *)tc->id);
free ((void *)tc->name);
free ((void *)tc->arguments);
free (tc);
}
}
R_API RList *r2ai_content_blocks_new(void) {
RList *cb = r_list_new ();
if (!cb) {
return NULL;
}
cb->free = (RListFree)free; // ContentBlocks contain pointers to structs, not structs themselves
return cb;
}
R_API void r2ai_content_blocks_free(RList *cb) {
if (!cb) {
return;
}
r_list_free (cb);
}
R_API void r2ai_message_free(R2AI_Message *msg) {
if (!msg) {
return;
}
free (msg->role);
free ((void *)msg->content); // maybe double free
free (msg->reasoning_content);
@@ -17,29 +38,13 @@ R_API void r2ai_message_free(R2AI_Message *msg) {
// Free tool calls
if (msg->tool_calls) {
for (int i = 0; i < msg->n_tool_calls; i++) {
free ((void *)msg->tool_calls[i].id);
free ((void *)msg->tool_calls[i].name);
free ((void *)msg->tool_calls[i].arguments);
}
free ((void *)msg->tool_calls);
r_list_free (msg->tool_calls);
}
if (msg->content_blocks) {
for (int i = 0; i < msg->content_blocks->n_blocks; i++) {
R2AI_ContentBlock *block = &msg->content_blocks->blocks[i];
free (block->type);
free (block->data);
free (block->thinking);
free (block->signature);
free (block->text);
free (block->id);
free (block->name);
free (block->input);
}
free (msg->content_blocks->blocks);
free (msg->content_blocks);
r2ai_content_blocks_free (msg->content_blocks);
}
free (msg);
}
// Conversation is now stored in R2AI_State
@@ -53,36 +58,24 @@ R_API void r2ai_conversation_init(R2AI_State *state) {
state->conversation = r2ai_msgs_new ();
}
R_API R2AI_Messages *r2ai_conversation_get(R2AI_State *state) {
R_API RList *r2ai_conversation_get(R2AI_State *state) {
return state? state->conversation: NULL;
}
// Create a new temporary messages container
R_API R2AI_Messages *r2ai_msgs_new(void) {
R2AI_Messages *msgs = R_NEW0 (R2AI_Messages);
R_API RList *r2ai_msgs_new(void) {
RList *msgs = r_list_new ();
if (!msgs) {
return NULL;
}
msgs->messages = r_list_new ();
if (!msgs->messages) {
R_FREE (msgs);
return NULL;
}
msgs->messages->free = (RListFree)r2ai_message_free;
msgs->free = (RListFree)r2ai_message_free;
return msgs;
}
R_API void r2ai_msgs_free(R2AI_Messages *msgs) {
if (!msgs) {
return;
R_API void r2ai_msgs_free(RList *msgs) {
if (msgs) {
r_list_free (msgs);
}
// Normal free for non-static instances
if (msgs->messages) {
r_list_free (msgs->messages);
}
R_FREE (msgs);
}
// Free the conversation when plugin is unloaded
@@ -94,46 +87,34 @@ R_API void r2ai_conversation_free(R2AI_State *state) {
}
// Clear messages in a container without freeing the container itself
R_API void r2ai_msgs_clear(R2AI_Messages *msgs) {
R_API void r2ai_msgs_clear(RList *msgs) {
if (!msgs) {
return;
}
r_list_purge (msgs->messages);
r_list_purge (msgs);
}
R_API bool r2ai_msgs_add(R2AI_Messages *msgs, const R2AI_Message *msg) {
R_API bool r2ai_msgs_add(RList *msgs, const R2AI_Message *msg) {
if (!msgs || !msg) {
return false;
}
R2AI_Message *new_msg = R_NEW0 (R2AI_Message);
if (!new_msg) {
return false;
}
new_msg->role = msg->role? strdup (msg->role): NULL;
new_msg->content = msg->content? strdup (msg->content): NULL;
new_msg->reasoning_content = msg->reasoning_content? strdup (msg->reasoning_content): NULL;
if (msg->content_blocks) {
R2AI_ContentBlocks *cb = R_NEW0 (R2AI_ContentBlocks);
RList *cb = r2ai_content_blocks_new ();
if (!cb) {
r2ai_message_free (new_msg);
free (new_msg);
return false;
}
cb->n_blocks = msg->content_blocks->n_blocks;
cb->blocks = R_NEWS0 (R2AI_ContentBlock, cb->n_blocks);
if (!cb->blocks) {
free (cb);
r2ai_message_free (new_msg);
free (new_msg);
return false;
}
for (int i = 0; i < cb->n_blocks; i++) {
R2AI_ContentBlock *src = &msg->content_blocks->blocks[i];
R2AI_ContentBlock *dst = &cb->blocks[i];
RListIter *iter;
R2AI_ContentBlock *src;
r_list_foreach (msg->content_blocks, iter, src) {
R2AI_ContentBlock *dst = R_NEW0 (R2AI_ContentBlock);
dst->type = src->type? strdup (src->type): NULL;
dst->data = src->data? strdup (src->data): NULL;
dst->thinking = src->thinking? strdup (src->thinking): NULL;
@@ -142,90 +123,79 @@ R_API bool r2ai_msgs_add(R2AI_Messages *msgs, const R2AI_Message *msg) {
dst->id = src->id? strdup (src->id): NULL;
dst->name = src->name? strdup (src->name): NULL;
dst->input = src->input? strdup (src->input): NULL;
r_list_append (cb, dst);
}
new_msg->content_blocks = cb;
}
new_msg->tool_call_id = msg->tool_call_id? strdup (msg->tool_call_id): NULL;
new_msg->tool_calls = NULL;
new_msg->n_tool_calls = 0;
new_msg->tool_calls = r_list_new ();
if (!new_msg->tool_calls) {
r2ai_message_free (new_msg);
free (new_msg);
return false;
}
new_msg->tool_calls->free = (RListFree)r2ai_tool_call_free;
// Copy tool calls if any
if (msg->tool_calls && msg->n_tool_calls > 0) {
new_msg->tool_calls = R_NEWS0 (R2AI_ToolCall, msg->n_tool_calls);
if (!new_msg->tool_calls) {
r2ai_message_free (new_msg);
free (new_msg);
return false;
}
new_msg->n_tool_calls = msg->n_tool_calls;
for (int i = 0; i < msg->n_tool_calls; i++) {
const R2AI_ToolCall *src_tc = &msg->tool_calls[i];
R2AI_ToolCall *dst_tc = (R2AI_ToolCall *)&new_msg->tool_calls[i];
if (msg->tool_calls) {
RListIter *iter;
R2AI_ToolCall *src_tc;
r_list_foreach (msg->tool_calls, iter, src_tc) {
R2AI_ToolCall *dst_tc = R_NEW0 (R2AI_ToolCall);
dst_tc->name = src_tc->name? strdup (src_tc->name): NULL;
dst_tc->arguments = src_tc->arguments? strdup (src_tc->arguments): NULL;
dst_tc->id = src_tc->id? strdup (src_tc->id): NULL;
r_list_append (new_msg->tool_calls, dst_tc);
}
}
r_list_append (msgs->messages, new_msg);
r_list_append (msgs, new_msg);
return true;
}
R_API bool r2ai_msgs_add_tool_call(R2AI_Messages *msgs, const R2AI_ToolCall *tc) {
if (!msgs || !tc || r_list_length (msgs->messages) == 0) {
R_API bool r2ai_msgs_add_tool_call(RList *msgs, const R2AI_ToolCall *tc) {
if (!msgs || !tc || r_list_empty (msgs)) {
return false;
}
R2AI_Message *msg = r_list_get_n (msgs->messages, r_list_length (msgs->messages) - 1);
R2AI_Message *msg = r_list_get_n (msgs, r_list_length (msgs) - 1);
// Allocate or resize the tool_calls array
if (msg->n_tool_calls == 0) {
msg->tool_calls = R_NEWS0 (R2AI_ToolCall, 1);
// Ensure tool_calls list exists
if (!msg->tool_calls) {
msg->tool_calls = r_list_new ();
if (!msg->tool_calls) {
return false;
}
} else {
R2AI_ToolCall *new_tool_calls = realloc (
(void *)msg->tool_calls,
sizeof (R2AI_ToolCall) *(msg->n_tool_calls + 1));
if (!new_tool_calls) {
return false;
}
msg->tool_calls = new_tool_calls;
// Zero the new element
memset ((void *)&msg->tool_calls[msg->n_tool_calls], 0, sizeof (R2AI_ToolCall));
msg->tool_calls->free = (RListFree)r2ai_tool_call_free;
}
// Copy the tool call
R2AI_ToolCall *dst_tc = (R2AI_ToolCall *)&msg->tool_calls[msg->n_tool_calls];
R2AI_ToolCall *dst_tc = R_NEW0 (R2AI_ToolCall);
dst_tc->name = tc->name? strdup (tc->name): NULL;
dst_tc->arguments = tc->arguments? strdup (tc->arguments): NULL;
dst_tc->id = tc->id? strdup (tc->id): NULL;
msg->n_tool_calls++;
r_list_append (msg->tool_calls, dst_tc);
return true;
}
R_API bool r2ai_msgs_from_response(R2AI_Messages *msgs, const char *json_str) {
R_API bool r2ai_msgs_from_response(RList *msgs, const char *json_str) {
if (!msgs || !json_str) {
return false;
}
// r_json_parse expects non-const char*, so we need to cast it
bool result = false;
// r_json_parse expects (and modifies) non-const char*, so we need to cast it
RJson *json = r_json_parse ((char *)json_str);
if (!json) {
return false;
if (json) {
result = r2ai_msgs_from_json (msgs, json);
r_json_free (json);
}
bool result = r2ai_msgs_from_json (msgs, json);
r_json_free (json);
return result;
}
R_API bool r2ai_msgs_from_json(R2AI_Messages *msgs, const RJson *json) {
R_API bool r2ai_msgs_from_json(RList *msgs, const RJson *json) {
if (!msgs || !json) {
return false;
}
@@ -255,27 +225,24 @@ R_API bool r2ai_msgs_from_json(R2AI_Messages *msgs, const RJson *json) {
new_msg.content = (content && content->type == R_JSON_STRING)? strdup (content->str_value): NULL;
new_msg.tool_call_id = NULL;
new_msg.tool_calls = NULL;
new_msg.n_tool_calls = 0;
if (content_blocks && content_blocks->type == R_JSON_ARRAY && content_blocks->children.count > 0) {
R2AI_ContentBlocks *cb = R_NEW0 (R2AI_ContentBlocks);
RList *cb = r2ai_content_blocks_new ();
if (!cb) {
r2ai_message_free (&new_msg);
return false;
}
cb->n_blocks = content_blocks->children.count;
cb->blocks = R_NEWS0 (R2AI_ContentBlock, cb->n_blocks);
if (!cb->blocks) {
free (cb);
r2ai_message_free (&new_msg);
return false;
}
for (int i = 0; i < cb->n_blocks; i++) {
for (size_t i = 0; i < content_blocks->children.count; i++) {
const RJson *block = r_json_item (content_blocks, i);
if (!block) {
continue;
}
R2AI_ContentBlock *dst = &cb->blocks[i];
R2AI_ContentBlock *dst = R_NEW0 (R2AI_ContentBlock);
if (!dst) {
r2ai_content_blocks_free (cb);
r2ai_message_free (&new_msg);
return false;
}
const RJson *type = r_json_get (block, "type");
const RJson *data = r_json_get (block, "data");
const RJson *thinking = r_json_get (block, "thinking");
@@ -293,6 +260,7 @@ R_API bool r2ai_msgs_from_json(R2AI_Messages *msgs, const RJson *json) {
dst->id = (id && id->type == R_JSON_STRING)? strdup (id->str_value): NULL;
dst->name = (name && name->type == R_JSON_STRING)? strdup (name->str_value): NULL;
dst->input = (input && input->type == R_JSON_STRING)? strdup (input->str_value): NULL;
r_list_append (cb, dst);
}
new_msg.content_blocks = cb;
}
@@ -328,27 +296,17 @@ R_API bool r2ai_msgs_from_json(R2AI_Messages *msgs, const RJson *json) {
tc.id = (id && id->type == R_JSON_STRING)? id->str_value: NULL;
if (!r2ai_msgs_add_tool_call (msgs, &tc)) {
break;
r2ai_message_free (&new_msg);
return false;
}
}
// Add the parsed message to the messages array
if (!r2ai_msgs_add (msgs, &new_msg)) {
r2ai_message_free (&new_msg);
return false;
}
// Free the temporary message struct (strings are duplicated in add)
r2ai_message_free (&new_msg);
return true;
}
return true;
}
R_API char *r2ai_msgs_to_json(const R2AI_Messages *msgs) {
if (!msgs || r_list_length (msgs->messages) == 0) {
R_API char *r2ai_msgs_to_json(const RList *msgs) {
if (!msgs || r_list_empty (msgs)) {
return NULL;
}
@@ -359,16 +317,22 @@ R_API char *r2ai_msgs_to_json(const R2AI_Messages *msgs) {
pj_a (pj); // Start array
for (int i = 0; i < r_list_length (msgs->messages); i++) {
const R2AI_Message *msg = r_list_get_n (msgs->messages, i);
RListIter *iter;
const R2AI_Message *msg;
r_list_foreach (msgs, iter, msg) {
pj_o (pj); // Start message object
// Add role
pj_ks (pj, "role", msg->role? msg->role: "user");
if (msg->content) {
// Content is required for OpenAI API
if (msg->content && *msg->content) {
pj_ks (pj, "content", msg->content);
} else if (msg->tool_calls && r_list_length (msg->tool_calls) > 0) {
pj_knull (pj, "content");
} else {
pj_ks (pj, "content", msg->content? msg->content: "");
}
if (msg->reasoning_content) {
@@ -381,13 +345,13 @@ R_API char *r2ai_msgs_to_json(const R2AI_Messages *msgs) {
}
// Add tool_calls if present
if (msg->tool_calls && msg->n_tool_calls > 0) {
if (msg->tool_calls && r_list_length (msg->tool_calls) > 0) {
pj_k (pj, "tool_calls");
pj_a (pj); // Start tool_calls array
for (int j = 0; j < msg->n_tool_calls; j++) {
const R2AI_ToolCall *tc = &msg->tool_calls[j];
RListIter *iter;
R2AI_ToolCall *tc;
r_list_foreach (msg->tool_calls, iter, tc) {
pj_o (pj); // Start tool call object
// Add id if present
@@ -405,10 +369,8 @@ R_API char *r2ai_msgs_to_json(const R2AI_Messages *msgs) {
// Add name
pj_ks (pj, "name", tc->name? tc->name: "");
// Add arguments if present
if (tc->arguments) {
pj_ks (pj, "arguments", tc->arguments);
}
// Add arguments (required by OpenAI API)
pj_ks (pj, "arguments", tc->arguments? tc->arguments: "{}");
pj_end (pj); // End function object
pj_end (pj); // End tool call object
@@ -426,8 +388,8 @@ R_API char *r2ai_msgs_to_json(const R2AI_Messages *msgs) {
return result;
}
R_API char *r2ai_msgs_to_anthropic_json(const R2AI_Messages *msgs) {
if (!msgs || r_list_length (msgs->messages) == 0) {
R_API char *r2ai_msgs_to_anthropic_json(const RList *msgs) {
if (!msgs || r_list_empty (msgs)) {
return NULL;
}
@@ -438,19 +400,24 @@ R_API char *r2ai_msgs_to_anthropic_json(const R2AI_Messages *msgs) {
pj_a (pj); // Start array
for (int i = 0; i < r_list_length (msgs->messages); i++) {
const R2AI_Message *msg = r_list_get_n (msgs->messages, i);
RListIter *iter;
const R2AI_Message *msg;
r_list_foreach (msgs, iter, msg) {
pj_o (pj); // Start message object
// Add role
// Circumvent Anthropic's allergy to system role messages
const char *role = msg->role? msg->role: "user";
bool is_system_message = !strcmp (role, "system");
if (is_system_message) {
role = "user";
}
pj_ks (pj, "role", strcmp (role, "tool") == 0? "user": role);
if (msg->content_blocks) {
pj_ka (pj, "content"); // Start content array
for (int j = 0; j < msg->content_blocks->n_blocks; j++) {
const R2AI_ContentBlock *block = &msg->content_blocks->blocks[j];
RListIter *iter;
R2AI_ContentBlock *block;
r_list_foreach (msg->content_blocks, iter, block) {
pj_o (pj); // Start content block object
if (R_STR_ISNOTEMPTY (block->type)) {
pj_ks (pj, "type", block->type);
@@ -474,22 +441,8 @@ R_API char *r2ai_msgs_to_anthropic_json(const R2AI_Messages *msgs) {
pj_ks (pj, "name", block->name);
}
if (R_STR_ISNOTEMPTY (block->input)) {
// Try to parse the input as JSON first
char *input_str = strdup (block->input);
RJson *input_json = r_json_parse (input_str);
if (input_json) {
// If it's valid JSON, add it directly
pj_ko (pj, "input");
r_json_to_pj (input_json, pj);
pj_end (pj);
r_json_free (input_json);
} else {
// If not valid JSON, create a basic object with command
pj_ko (pj, "input");
pj_ks (pj, "command", block->input);
pj_end (pj);
}
free (input_str);
pj_k (pj, "input");
pj_raw (pj, block->input);
}
pj_end (pj); // End content block object
}
@@ -505,43 +458,35 @@ R_API char *r2ai_msgs_to_anthropic_json(const R2AI_Messages *msgs) {
pj_ks (pj, "content", msg->content);
} else {
pj_ks (pj, "type", "text");
pj_ks (pj, "text", msg->content);
if (is_system_message) {
char *prefixed = r_str_newf ("SYSTEM INSTRUCTIONS: %s", msg->content);
pj_ks (pj, "text", prefixed);
free (prefixed);
} else {
pj_ks (pj, "text", msg->content);
}
}
pj_end (pj); // End content block object
}
if (msg->tool_calls && msg->n_tool_calls > 0) {
pj_k (pj, "tool_calls");
pj_a (pj); // Start tool_calls array
for (int j = 0; j < msg->n_tool_calls; j++) {
const R2AI_ToolCall *tc = &msg->tool_calls[j];
pj_o (pj); // Start tool_calls object
if (msg->tool_calls && r_list_length (msg->tool_calls) > 0) {
RListIter *iter;
R2AI_ToolCall *tc;
r_list_foreach (msg->tool_calls, iter, tc) {
pj_o (pj); // Start tool_use content block
pj_ks (pj, "type", "tool_use");
pj_ks (pj, "id", tc->id? tc->id: "");
pj_ks (pj, "name", tc->name? tc->name: "");
// Create a non-const copy for r_json_parse
char *arguments_copy = tc->arguments? strdup (tc->arguments): NULL;
RJson *arguments = arguments_copy? r_json_parse (arguments_copy): NULL;
pj_ko (pj, "input"); // Start input object
if (arguments) {
for (size_t k = 0; k < arguments->children.count; k++) {
const RJson *arg = r_json_item (arguments, k);
if (arg && arg->type == R_JSON_STRING) {
pj_ks (pj, arg->key, arg->str_value);
}
}
r_json_free (arguments);
// Insert the arguments directly as the input object
pj_k (pj, "input");
if (tc->arguments) {
pj_raw (pj, tc->arguments);
} else {
pj_raw (pj, "{}");
}
free (arguments_copy);
pj_end (pj); // End input object
pj_end (pj); // End tool_calls object
pj_end (pj); // End tool_use content block
}
pj_end (pj); // End tool_calls array
}
pj_end (pj); // End content array
}
@@ -555,8 +500,8 @@ R_API char *r2ai_msgs_to_anthropic_json(const R2AI_Messages *msgs) {
}
// Function to delete the last N messages from conversation history
R_API void r2ai_delete_last_messages(R2AI_Messages *messages, int n) {
if (!messages || r_list_length (messages->messages) == 0) {
R_API void r2ai_delete_last_messages(RList *messages, int n) {
if (!messages || r_list_length (messages) == 0) {
return;
}
@@ -566,162 +511,13 @@ R_API void r2ai_delete_last_messages(R2AI_Messages *messages, int n) {
}
// Make sure we don't try to delete more messages than exist
int len = r_list_length (messages->messages);
int len = r_list_length (messages);
if (n > len) {
n = len;
}
// Pop the last n messages
for (int i = 0; i < n; i++) {
r_list_pop (messages->messages);
r_list_pop (messages);
}
}
// Helper function to convert RJson to PJ without draining
R_API PJ *r_json_to_pj(const RJson *json, PJ *existing_pj) {
if (!json) {
return existing_pj;
}
PJ *pj = existing_pj? existing_pj: pj_new ();
if (!pj) {
return NULL;
}
switch (json->type) {
case R_JSON_STRING:
pj_s (pj, json->str_value);
break;
case R_JSON_INTEGER:
pj_n (pj, json->num.u_value);
break;
case R_JSON_DOUBLE:
pj_d (pj, json->num.dbl_value);
break;
case R_JSON_BOOLEAN:
pj_b (pj, json->num.u_value);
break;
case R_JSON_NULL:
pj_null (pj);
break;
case R_JSON_OBJECT:
if (!existing_pj) {
pj_o (pj);
}
// Handle object's properties
const RJson *prop = json->children.first;
while (prop) {
if (prop->key) {
switch (prop->type) {
case R_JSON_STRING:
pj_ks (pj, prop->key, prop->str_value);
break;
case R_JSON_INTEGER:
pj_kn (pj, prop->key, prop->num.u_value);
break;
case R_JSON_DOUBLE:
pj_kd (pj, prop->key, prop->num.dbl_value);
break;
case R_JSON_BOOLEAN:
pj_kb (pj, prop->key, prop->num.u_value);
break;
case R_JSON_NULL:
pj_knull (pj, prop->key);
break;
case R_JSON_OBJECT:
pj_ko (pj, prop->key);
if (!r_json_to_pj (prop, pj)) {
if (!existing_pj) {
pj_free (pj);
}
return NULL;
}
pj_end (pj);
break;
case R_JSON_ARRAY:
pj_ka (pj, prop->key);
if (!r_json_to_pj (prop, pj)) {
if (!existing_pj) {
pj_free (pj);
}
return NULL;
}
pj_end (pj);
break;
default:
break;
}
}
prop = prop->next;
}
if (!existing_pj) {
pj_end (pj);
}
break;
case R_JSON_ARRAY:
if (!existing_pj) {
pj_a (pj);
}
// Handle array items
const RJson *item = json->children.first;
while (item) {
switch (item->type) {
case R_JSON_STRING:
pj_s (pj, item->str_value);
break;
case R_JSON_INTEGER:
pj_n (pj, item->num.u_value);
break;
case R_JSON_DOUBLE:
pj_d (pj, item->num.dbl_value);
break;
case R_JSON_BOOLEAN:
pj_b (pj, item->num.u_value);
break;
case R_JSON_NULL:
pj_null (pj);
break;
case R_JSON_OBJECT:
pj_o (pj);
if (!r_json_to_pj (item, pj)) {
if (!existing_pj) {
pj_free (pj);
}
return NULL;
}
pj_end (pj);
break;
case R_JSON_ARRAY:
pj_a (pj);
if (!r_json_to_pj (item, pj)) {
if (!existing_pj) {
pj_free (pj);
}
return NULL;
}
pj_end (pj);
break;
default:
break;
}
item = item->next;
}
if (!existing_pj) {
pj_end (pj);
}
break;
default:
if (!existing_pj) {
pj_free (pj);
}
return NULL;
}
return pj;
}
// Helper function to clone RJson to string
R_API char *r_json_to_string(const RJson *json) {
PJ *pj = r_json_to_pj (json, NULL);
return pj? pj_drain (pj): NULL;
}
+97 -124
View File
@@ -1,90 +1,21 @@
/* r2ai - Copyright 2023-2025 pancake, dnakov */
#include <r_core.h>
#include <r_util/r_json.h>
#include "r2ai.h"
// Bit flags for different types of model errors/incompatibilities
typedef enum {
MODEL_ERROR_NONE = 0,
MODEL_ERROR_TEMPERATURE = 1 << 0,
// Can add more error types here as needed
// MODEL_ERROR_TOP_P = 1 << 1,
// MODEL_ERROR_MAX_TOKENS = 1 << 2,
// etc.
} ModelErrorFlags;
// Structure to store model compatibility info
typedef struct {
char *model_id; // Provider:model string
int error_flags; // Bitfield of ModelErrorFlags
} ModelCompat;
// Function to add an error flag to a model
static void model_add_error(R2AI_State *state, const char *provider, const char *model, ModelErrorFlags flag) {
if (!state) {
return;
}
if (!state->model_compat_db) {
state->model_compat_db = ht_pp_new0 ();
}
char *key = r_str_newf ("%s:%s", provider, model? model: "default");
bool found_flag = false;
ModelCompat *compat = ht_pp_find (state->model_compat_db, key, &found_flag);
if (found_flag && compat) {
// Update existing entry
compat->error_flags |= flag;
} else {
// Create new entry
compat = R_NEW0 (ModelCompat);
compat->model_id = strdup (key);
compat->error_flags = flag;
ht_pp_insert (state->model_compat_db, key, compat);
}
free (key);
}
// Free a ModelCompat item (for hash table)
static bool model_compat_free_cb(void *user, const void *k, const void *v) {
(void)user;
(void)k;
ModelCompat *compat = (ModelCompat *)v;
if (compat) {
free (compat->model_id);
free (compat);
}
return true;
}
// Function to free the model_compat_db hash table
R_IPI void r2ai_openai_fini(R2AI_State *state) {
if (state && state->model_compat_db) {
ht_pp_foreach (state->model_compat_db, model_compat_free_cb, NULL);
ht_pp_free (state->model_compat_db);
state->model_compat_db = NULL;
}
}
#include "r2ai_priv.h"
R_IPI R2AI_ChatResponse *r2ai_openai(RCorePluginSession *cps, R2AIArgs args) {
RCore *core = cps->core;
R2AI_State *state = cps->data;
// Initialize compatibility database if needed
if (!state->model_compat_db) {
state->model_compat_db = ht_pp_new0 ();
}
args.provider = r_config_get (core->config, "r2ai.api");
args.model = r_config_get (core->config, "r2ai.model");
const R2AIProvider *provider_info = r2ai_get_provider (args.provider);
const char *base_url = r2ai_get_provider_url (core, args.provider);
// TODO: default model name should depend on api
const char *model_name = args.model? args.model: "gpt-4o-mini";
char **error = args.error;
const R2AI_Tools *tools = args.tools;
RList *tools = args.tools;
// create a temp conversation to include the system prompt and the rest of the messages
R2AI_Messages *temp_msgs = r2ai_msgs_new ();
RList *temp_msgs = r2ai_msgs_new ();
if (!temp_msgs) {
if (error) {
*error = strdup ("Failed to create temporary messages array");
@@ -122,15 +53,17 @@ R_IPI R2AI_ChatResponse *r2ai_openai(RCorePluginSession *cps, R2AIArgs args) {
}
}
if (args.messages) {
for (int i = 0; i < r_list_length (args.messages->messages); i++) {
r2ai_msgs_add (temp_msgs, r_list_get_n (args.messages->messages, i));
RListIter *iter;
R2AI_Message *msg;
r_list_foreach (args.messages, iter, msg) {
r2ai_msgs_add (temp_msgs, msg);
}
} else {
R_LOG_WARN ("No messages");
}
// Safely print debug info about first message
if (temp_msgs && r_list_length (temp_msgs->messages) > 0 && ((R2AI_Message *)r_list_get_n (temp_msgs->messages, 0))->role) {
R_LOG_DEBUG ("First message role: %s", ((R2AI_Message *)r_list_get_n (temp_msgs->messages, 0))->role);
if (temp_msgs && !r_list_empty (temp_msgs) && ((R2AI_Message *)r_list_get_n (temp_msgs, 0))->role) {
R_LOG_DEBUG ("First message role: %s", ((R2AI_Message *)r_list_get_n (temp_msgs, 0))->role);
}
if (error) {
*error = NULL;
@@ -146,16 +79,16 @@ R_IPI R2AI_ChatResponse *r2ai_openai(RCorePluginSession *cps, R2AIArgs args) {
headers[0] = "Content-Type: application/json";
headers[1] = auth_header;
}
const char *urlfmt = strcmp (args.provider, "ollama")
? "%s/chat/completions"
: "%s/chat";
const char *urlfmt = (provider_info && provider_info->api_type == R2AI_API_OLLAMA)
? "%s/chat"
: "%s/chat/completions";
char *openai_url = r_str_newf (urlfmt, base_url);
// Create a messages JSON object, either from input messages or from content
char *messages_json = NULL;
if (temp_msgs && r_list_length (temp_msgs->messages) > 0) {
R_LOG_DEBUG ("Using input messages: %d messages", r_list_length (temp_msgs->messages));
if (temp_msgs && !r_list_empty (temp_msgs)) {
R_LOG_DEBUG ("Using input messages: %d messages", r_list_length (temp_msgs));
messages_json = r2ai_msgs_to_json (temp_msgs);
if (!messages_json) {
if (error) {
@@ -174,7 +107,7 @@ R_IPI R2AI_ChatResponse *r2ai_openai(RCorePluginSession *cps, R2AIArgs args) {
// Convert tools to OpenAI format if available
char *openai_tools_json = NULL;
if (tools && tools->n_tools > 0) {
if (tools && !r_list_empty (tools)) {
openai_tools_json = r2ai_tools_to_openai_json (tools);
}
@@ -184,7 +117,7 @@ R_IPI R2AI_ChatResponse *r2ai_openai(RCorePluginSession *cps, R2AIArgs args) {
pj_ks (pj, "model", model_name);
pj_kb (pj, "stream", false);
if (strcmp (args.provider, "ollama") == 0) {
if (provider_info && provider_info->api_type == R2AI_API_OLLAMA) {
// Ollama uses "options" object for parameters
pj_ko (pj, "options");
if (args.max_tokens) {
@@ -215,17 +148,6 @@ R_IPI R2AI_ChatResponse *r2ai_openai(RCorePluginSession *cps, R2AIArgs args) {
// Get the JSON for model settings
char *model_json = pj_drain (pj);
if (!model_json) {
if (error) {
*error = strdup ("Failed to create model settings JSON");
}
free (auth_header);
free (messages_json);
if (openai_tools_json) {
free (openai_tools_json);
}
return NULL;
}
// Manually create the final JSON by combining parts
// Remove the closing brace from model_json
@@ -268,6 +190,17 @@ R_IPI R2AI_ChatResponse *r2ai_openai(RCorePluginSession *cps, R2AIArgs args) {
R_LOG_DEBUG ("OpenAI API request data: %s", complete_json);
if (r_config_get_b (core->config, "r2ai.debug")) {
// Generate curl command for debugging
RStrBuf *curl_cmd = r_strbuf_new ("curl -X POST");
for (int i = 0; headers[i]; i++) {
r_strbuf_appendf (curl_cmd, " -H \"%s\"", headers[i]);
}
r_strbuf_appendf (curl_cmd, " -d '%s' \"%s\"", complete_json, openai_url);
eprintf ("Curl command: %s\n", r_strbuf_get (curl_cmd));
r_strbuf_free (curl_cmd);
}
// Make the API call
char *res = NULL;
int code = 0;
@@ -279,28 +212,6 @@ R_IPI R2AI_ChatResponse *r2ai_openai(RCorePluginSession *cps, R2AIArgs args) {
R_LOG_ERROR ("OpenAI API error %d", code);
if (res) {
R_LOG_ERROR ("OpenAI API error response: %s", res);
// Check for specific error types in the response
ModelErrorFlags error_flag = MODEL_ERROR_NONE;
// Check for temperature errors
if (strstr (res, "temperature")) {
R_LOG_DEBUG ("Detected temperature error for %s model %s", args.provider, args.model);
error_flag |= MODEL_ERROR_TEMPERATURE;
}
if (error_flag != MODEL_ERROR_NONE) {
// Record the error flags for this provider/model
model_add_error (state, args.provider, args.model, error_flag);
// Clean up
free (auth_header);
free (res);
// Retry the call (it will skip problematic parameters this time)
R_LOG_INFO ("Retrying request with adjusted parameters for %s/%s", args.provider, args.model);
RCorePluginSession retry_cps = { .core = core, .data = state };
return r2ai_openai (&retry_cps, args);
}
}
free (auth_header);
free (res);
@@ -311,12 +222,12 @@ R_IPI R2AI_ChatResponse *r2ai_openai(RCorePluginSession *cps, R2AIArgs args) {
tmpdir = r_file_tmpdir ();
char *res_path = r_str_newf ("%s" R_SYS_DIR "r2ai_openai_response.json", tmpdir);
r_file_dump (res_path, (const ut8 *)res, strlen (res), 0);
R_LOG_DEBUG ("OpenAI API response saved to %s", res_path);
if (r_config_get_b (core->config, "r2ai.debug")) {
eprintf ("OpenAI API response: %s\n", res);
}
free (res_path);
free (tmpdir);
R_LOG_DEBUG ("OpenAI API response: %s", res);
// Parse the response into our messages structure
char *res_copy = strdup (res);
@@ -328,7 +239,7 @@ R_IPI R2AI_ChatResponse *r2ai_openai(RCorePluginSession *cps, R2AIArgs args) {
if (message) {
// Process the response using our r2ai_msgs_from_json logic
const RJson *usage_json = NULL;
if (strcmp (args.provider, "ollama") == 0) {
if (provider_info && provider_info->api_type == R2AI_API_OLLAMA) {
// Ollama has usage info at top level
usage_json = jres;
} else {
@@ -336,7 +247,7 @@ R_IPI R2AI_ChatResponse *r2ai_openai(RCorePluginSession *cps, R2AIArgs args) {
}
if (usage_json && usage_json->type == R_JSON_OBJECT) {
if (strcmp (args.provider, "ollama") == 0) {
if (provider_info && provider_info->api_type == R2AI_API_OLLAMA) {
// Ollama field names
const RJson *prompt_tokens = r_json_get (usage_json, "prompt_eval_count");
const RJson *completion_tokens = r_json_get (usage_json, "eval_count");
@@ -365,7 +276,7 @@ R_IPI R2AI_ChatResponse *r2ai_openai(RCorePluginSession *cps, R2AIArgs args) {
}
}
const RJson *message_json = NULL;
if (strcmp (args.provider, "ollama") == 0) {
if (provider_info && provider_info->api_type == R2AI_API_OLLAMA) {
// Ollama returns message directly
message_json = r_json_get (jres, "message");
} else {
@@ -383,6 +294,9 @@ R_IPI R2AI_ChatResponse *r2ai_openai(RCorePluginSession *cps, R2AIArgs args) {
const RJson *role = r_json_get (message_json, "role");
const RJson *content = r_json_get (message_json, "content");
const RJson *reasoning_content = r_json_get (message_json, "reasoning_content");
const RJson *thinking = r_json_get (message_json, "thinking");
const RJson *tool_call_id = r_json_get (message_json, "tool_call_id");
const RJson *tool_calls = r_json_get (message_json, "tool_calls");
// Set the basic message properties
message->role = (role && role->type == R_JSON_STRING)? strdup (role->str_value): strdup ("assistant");
@@ -391,8 +305,67 @@ R_IPI R2AI_ChatResponse *r2ai_openai(RCorePluginSession *cps, R2AIArgs args) {
message->content = strdup (content->str_value);
}
if (reasoning_content && reasoning_content->type == R_JSON_STRING) {
if (reasoning_content && reasoning_content->type == R_JSON_STRING && R_STR_ISNOTEMPTY (reasoning_content->str_value)) {
message->reasoning_content = strdup (reasoning_content->str_value);
} else if (thinking && thinking->type == R_JSON_STRING && R_STR_ISNOTEMPTY (thinking->str_value)) {
message->reasoning_content = strdup (thinking->str_value);
}
if (tool_call_id && tool_call_id->type == R_JSON_STRING && R_STR_ISNOTEMPTY (tool_call_id->str_value)) {
message->tool_call_id = strdup (tool_call_id->str_value);
}
if (tool_calls && tool_calls->type == R_JSON_ARRAY && tool_calls->children.count > 0) {
message->tool_calls = r_list_new ();
if (message->tool_calls) {
message->tool_calls->free = (RListFree)r2ai_tool_call_free;
for (size_t i = 0; i < tool_calls->children.count; i++) {
const RJson *tool_call = r_json_item (tool_calls, i);
if (!tool_call || tool_call->type != R_JSON_OBJECT) {
continue;
}
R2AI_ToolCall *tc = R_NEW0 (R2AI_ToolCall);
if (!tc) {
continue;
}
const RJson *tc_id = r_json_get (tool_call, "id");
if (tc_id && tc_id->type == R_JSON_STRING && R_STR_ISNOTEMPTY (tc_id->str_value)) {
tc->id = strdup (tc_id->str_value);
}
const RJson *function = r_json_get (tool_call, "function");
const RJson *name_json = NULL;
const RJson *arguments = NULL;
if (function && function->type == R_JSON_OBJECT) {
name_json = r_json_get (function, "name");
arguments = r_json_get (function, "arguments");
} else {
name_json = r_json_get (tool_call, "name");
arguments = r_json_get (tool_call, "arguments");
}
if (name_json && name_json->type == R_JSON_STRING && R_STR_ISNOTEMPTY (name_json->str_value)) {
tc->name = strdup (name_json->str_value);
}
if (arguments) {
if (arguments->type == R_JSON_STRING && R_STR_ISNOTEMPTY (arguments->str_value)) {
tc->arguments = strdup (arguments->str_value);
} else {
char *arguments_json = r_json_to_string (arguments);
if (arguments_json) {
tc->arguments = arguments_json;
}
}
}
if (!tc->name && !tc->arguments && !tc->id) {
r2ai_tool_call_free (tc);
continue;
}
r_list_append (message->tool_calls, tc);
}
if (r_list_empty (message->tool_calls)) {
r_list_free (message->tool_calls);
message->tool_calls = NULL;
}
}
}
// TODO: Handle tool calls if present?
}
+62 -58
View File
@@ -19,7 +19,7 @@ R_API void r2aiprompt_free(R2AIPrompt *prompt) {
free (prompt);
}
static R2AIPrompt *parse_prompt_file(const char *filepath) {
R_API R2AIPrompt *parse_prompt_file(const char *filepath) {
R2AIPrompt *prompt = R_NEW0 (R2AIPrompt);
char *content = r_file_slurp (filepath, NULL);
if (!content) {
@@ -71,45 +71,7 @@ static R2AIPrompt *parse_prompt_file(const char *filepath) {
prompt->prompt = strdup (prompt_start);
}
} else {
// Original parsing for .txt files
RList *lines = r_str_split_list (content, "\n", -1);
RListIter *iter;
char *line;
r_list_foreach (lines, iter, line) {
r_str_trim (line);
if (*line == '#' || *line == 0) {
continue;
}
char *colon = strchr (line, ':');
if (!colon) {
continue;
}
*colon = 0;
char *key = line;
char *value = colon + 1;
r_str_trim (key);
r_str_trim (value);
if (!strcmp (key, "Title")) {
prompt->title = strdup (value);
} else if (!strcmp (key, "Author")) {
prompt->author = strdup (value);
} else if (!strcmp (key, "Description")) {
prompt->desc = strdup (value);
} else if (!strcmp (key, "Command") || !strcmp (key, "Commands")) {
prompt->command = strdup (value);
} else if (!strcmp (key, "Prompt") || !strcmp (key, "Query")) {
prompt->prompt = strdup (value);
} else if (!strcmp (key, "Depends")) {
prompt->
requires
= strdup (value);
} else if (!strcmp (key, "If-Empty")) {
prompt->if_empty = strdup (value);
} else if (!strcmp (key, "If-Command")) {
prompt->if_command = strdup (value);
}
}
r_list_free (lines);
R_LOG_ERROR ("Invalid prompt file format: %s", filepath);
}
free (content);
@@ -183,6 +145,29 @@ static char *replace_vars(RCore *core, const char *text) {
return r_strbuf_drain (sb);
}
// Helper function to find prompt file in search directories
R_API char *find_prompt_file(RList *search_dirs, const char *name) {
char *filepath = NULL;
RListIter *dir_iter;
char *dir;
r_list_foreach (search_dirs, dir_iter, dir) {
char *filepath_txt = r_str_newf ("%s/%s.r2ai.txt", dir, name);
char *filepath_md = r_str_newf ("%s/%s.r2ai.md", dir, name);
if (r_file_exists (filepath_txt)) {
filepath = filepath_txt;
free (filepath_md);
break;
} else if (r_file_exists (filepath_md)) {
filepath = filepath_md;
free (filepath_txt);
break;
}
free (filepath_txt);
free (filepath_md);
}
return filepath;
}
R_API void r2ai_cmd_q(RCorePluginSession *cps, const char *input) {
RCore *core = cps->core;
const char *promptdir = r_config_get (core->config, "r2ai.promptdir");
@@ -254,24 +239,7 @@ R_API void r2ai_cmd_q(RCorePluginSession *cps, const char *input) {
r_str_trim (extra);
}
r_str_trim (name);
char *filepath = NULL;
RListIter *dir_iter;
char *dir;
r_list_foreach (search_dirs, dir_iter, dir) {
char *filepath_txt = r_str_newf ("%s/%s.r2ai.txt", dir, name);
char *filepath_md = r_str_newf ("%s/%s.r2ai.md", dir, name);
if (r_file_exists (filepath_txt)) {
filepath = filepath_txt;
free (filepath_md);
break;
} else if (r_file_exists (filepath_md)) {
filepath = filepath_md;
free (filepath_txt);
break;
}
free (filepath_txt);
free (filepath_md);
}
char *filepath = find_prompt_file (search_dirs, name);
if (!filepath) {
R_LOG_ERROR ("Cannot find prompt file: %s.r2ai.txt or %s.r2ai.md", name, name);
r_list_free (search_dirs);
@@ -344,3 +312,39 @@ R_API void r2ai_cmd_q(RCorePluginSession *cps, const char *input) {
}
r_list_free (search_dirs);
}
R_API char *r2ai_load_prompt_text(RCore *core, const char *name) {
const char *promptdir = r_config_get (core->config, "r2ai.promptdir");
if (!promptdir || !*promptdir) {
promptdir = "~/.config/r2ai/prompts";
}
char *expanded_dir = r_file_abspath (promptdir);
char *local_prompts = r_file_abspath ("../prompts");
RList *search_dirs = r_list_newf (free);
if (r_file_is_directory (expanded_dir)) {
r_list_append (search_dirs, expanded_dir);
} else {
free (expanded_dir);
expanded_dir = NULL;
}
if (r_file_is_directory (local_prompts)) {
r_list_append (search_dirs, local_prompts);
} else {
free (local_prompts);
local_prompts = NULL;
}
char *filepath = find_prompt_file (search_dirs, name);
char *prompt_text = NULL;
if (filepath) {
R2AIPrompt *prompt = parse_prompt_file (filepath);
if (prompt && prompt->prompt) {
prompt_text = strdup (prompt->prompt);
}
r2aiprompt_free (prompt);
free (filepath);
}
r_list_free (search_dirs);
return prompt_text;
}
+2 -2
View File
@@ -91,8 +91,8 @@ User prompt for \fBr2ai -d\fR.
.B r2ai.auto.max_runs
Maximum loops in auto mode (\fBr2ai -a\fR).
.TP
.B r2ai.auto.hide_tool_output
Hide tool output in auto mode.
.B r2ai.auto.verbose
Show tool output in auto mode.
.TP
.B r2ai.auto.yolo
Allow AI to run commands without approval (dangerous, default false).
+117 -44
View File
@@ -12,16 +12,20 @@ static RCoreHelpMessage help_msg_r2ai = {
"r2ai", " -d [query]", "Ask a question on the current function",
"r2ai", " -dr", "Decompile current function (+ 1 level of recursivity)",
"r2ai", " -a [query]", "Resolve question using auto mode",
"r2ai", " -b [url]", "set/show base URL for provider API",
"r2ai", " -e (k(=v))", "Same as '-e r2ai.'",
"r2ai", " -E", "Edit the r2ai rc file",
"r2ai", " -K", "Edit the API keys file",
"r2ai", " -h", "Show this help message",
"r2ai", " -i [file] [query]", "read file and ask the llm with the given query",
"r2ai", " -m", "show selected model, list suggested ones, choose one",
"r2ai", " -m [model]", "show selected model, list suggested ones, choose one",
"r2ai", " -p [provider]", "set LLM provider (openai, anthropic, gemini, etc.)",
"r2ai", " -q", "list available query prompts",
"r2ai", " -q [name] (inst)", "run predefined prompt with optional instructions",
"r2ai", " -r", "enter the chat repl",
"r2ai", " -L", "show chat logs (See -Lj for json). Only for auto mode.",
"r2ai", " -C", "compact conversation history",
"r2ai", " -LR", "create a log report",
"r2ai", " -L-[N]", "delete the last (or N last messages from the chat history)",
"r2ai", " -R", "reset the chat conversation context",
"r2ai", " -Rq ([text])", "refresh and query embeddings (see r2ai.data)",
@@ -42,7 +46,7 @@ R_API char *r2ai(RCorePluginSession *cps, R2AIArgs args) {
args.system_prompt = r_config_get (core->config, "r2ai.system");
}
R2AI_Messages *msgs = r2ai_msgs_new ();
RList *msgs = r2ai_msgs_new ();
if (args.input) {
R2AI_Message msg = { .role = "user", .content = (char *)args.input };
@@ -51,29 +55,15 @@ R_API char *r2ai(RCorePluginSession *cps, R2AIArgs args) {
args.messages = msgs;
R2AI_ChatResponse *res = r2ai_llmcall (cps, args);
if (!res) {
return NULL;
}
// Extract content from the response
char *content = NULL;
// If content is present in the result message, use it
if (res->message) {
if (res->message->content) {
R2AI_ChatResponse *res = r2ai_llmcall (cps, args);
if (res) {
if (res->message && res->message->content) {
content = strdup (res->message->content);
}
}
// Free the message properly using r2ai_message_free
if (res->message) {
r2ai_message_free ((R2AI_Message *)res->message);
free (res);
}
// Free the response struct itself
free (res);
return content;
}
@@ -145,7 +135,7 @@ static void cmd_r2ai_repl(RCorePluginSession *cps) {
RCore *core = cps->core;
RStrBuf *sb = r_strbuf_new ("");
while (true) {
r_line_set_prompt (core->cons->line, ">>> ");
r_line_set_prompt (core->cons->line, "[r2ai]> ");
const char *ptr = r_line_readline (core->cons);
if (R_STR_ISEMPTY (ptr)) {
break;
@@ -291,15 +281,49 @@ static void load_embeddings(RCorePluginSession *cps) {
r_list_free (files);
}
static void cmd_r2ai(RCorePluginSession *cps, const char *input) {
static bool load_r2airc(RCorePluginSession *cps) {
char *rc_path = r_file_home (".config/r2ai/rc");
if (rc_path && r_file_exists (rc_path)) {
char *content = r_file_slurp (rc_path, NULL);
if (content) {
RList *lines = r_str_split_list (content, "\n", -1);
RListIter *iter;
char *line;
r_list_foreach (lines, iter, line) {
const char *trimmed = r_str_trim_head_ro (line);
if (R_STR_ISEMPTY (trimmed) || *trimmed == '#') {
continue;
}
if (r_str_startswith (trimmed, "r2ai -e ") || r_str_startswith (trimmed, "-e ")) {
const char *arg = trimmed + (r_str_startswith (trimmed, "r2ai -e ")? 7: 3);
cmd_r2ai (cps, r_str_newf ("-e%s", arg));
} else if (r_str_startswith (trimmed, "r2ai -") || r_str_startswith (trimmed, "-")) {
const char *arg = trimmed + (r_str_startswith (trimmed, "r2ai -")? 6: 1);
cmd_r2ai (cps, r_str_newf ("-%s", arg));
} else {
R_LOG_ERROR ("Invalid line in r2ai rc: %s", trimmed);
}
}
r_list_free (lines);
free (content);
}
}
free (rc_path);
return true;
}
R_API void cmd_r2ai(RCorePluginSession *cps, const char *input) {
RCore *core = cps->core;
R2AI_State *state = cps->data;
if (*input == '?' || r_str_startswith (input, "-h")) {
r_core_cmd_help (core, help_msg_r2ai);
} else if (r_str_startswith (input, "-K")) {
r2ai_apikeys_edit (cps);
} else if (r_str_startswith (input, "-E")) {
char *rc_path = r_file_home (".config/r2ai/rc");
r_cons_editor (core->cons, rc_path, NULL);
free (rc_path);
load_r2airc (cps);
} else if (r_str_startswith (input, "-e")) {
const char *arg = r_str_trim_head_ro (input + 2);
if (r_str_startswith (arg, "r2ai")) {
@@ -309,17 +333,28 @@ static void cmd_r2ai(RCorePluginSession *cps, const char *input) {
}
} else if (r_str_startswith (input, "-a")) {
cmd_r2ai_a (cps, r_str_trim_head_ro (input + 2));
} else if (r_str_startswith (input, "-b")) {
const char *baseurl = r_str_trim_head_ro (input + 2);
if (R_STR_ISEMPTY (baseurl)) {
r_cons_printf (core->cons, "%s\n", r_config_get (core->config, "r2ai.baseurl"));
} else {
r_config_set (core->config, "r2ai.baseurl", baseurl);
}
} else if (r_str_startswith (input, "-L-")) {
const char *arg = r_str_trim_head_ro (input + 3);
const int N = atoi (arg);
R2AI_Messages *messages = r2ai_conversation_get (state);
if (!messages || r_list_length (messages->messages) == 0) {
RList *messages = r2ai_conversation_get (state);
if (!messages || r_list_empty (messages)) {
r_cons_printf (core->cons, "No conversation history available\n");
} else {
r2ai_delete_last_messages (messages, N);
r_cons_printf (core->cons, "Deleted %d message%s from chat history\n", N > 0? N: 1,
(N > 0 && N != 1)? "s": "");
}
} else if (r_str_startswith (input, "-C")) {
cmd_r2ai_c (cps);
} else if (r_str_startswith (input, "-LR")) {
cmd_r2ai_lr (cps);
} else if (r_str_startswith (input, "-L")) {
cmd_r2ai_logs (cps);
} else if (r_str_startswith (input, "-d")) {
@@ -349,8 +384,8 @@ static void cmd_r2ai(RCorePluginSession *cps, const char *input) {
} else if (r_str_startswith (input, "-r")) {
cmd_r2ai_repl (cps);
} else if (r_str_startswith (input, "-R")) {
R2AI_Messages *messages = r2ai_conversation_get (state);
if (!messages || r_list_length (messages->messages) == 0) {
RList *messages = r2ai_conversation_get (state);
if (!messages || r_list_empty (messages)) {
r_cons_printf (core->cons, "No conversation history to reset\n");
} else {
r2ai_msgs_clear (messages);
@@ -406,6 +441,9 @@ static bool cb_r2ai_model(void *user, void *data) {
RConfigNode *node = (RConfigNode *)data;
RCore *core = (RCore *)user;
const char *api = r_config_get (core->config, "r2ai.api");
if (R_STR_ISEMPTY (api)) {
api = R2AI_DEFAULT_PROVIDER;
}
if (*node->value == '?') {
// Try to fetch models dynamically first
RList *models = r2ai_fetch_available_models (core, api);
@@ -420,7 +458,7 @@ static bool cb_r2ai_model(void *user, void *data) {
// Fallback to static lists if dynamic fetching fails
const R2AIProvider *p = r2ai_get_provider (api);
if (p) {
if (p->uses_system_ls) {
if (p->api_type == R2AI_API_OLLAMA) {
char *s = r_sys_cmd_str ("ollama ls", NULL, NULL);
if (s) {
RList *items = r_str_split_list (s, "\n", 0);
@@ -451,6 +489,36 @@ static bool cb_r2ai_model(void *user, void *data) {
return true;
}
static bool cb_r2ai_http_backend(void *user, void *data) {
RCore *core = (RCore *)user;
RConfigNode *node = (RConfigNode *)data;
if (*node->value == '?') {
r_cons_println (core->cons, "auto");
r_cons_println (core->cons, "libcurl");
r_cons_println (core->cons, "socket");
r_cons_println (core->cons, "system");
r_cons_println (core->cons, "curl");
r_cons_println (core->cons, "pwsh");
r_cons_println (core->cons, "powershell");
r_cons_println (core->cons, "r2curl");
return false;
}
// Validate the backend
if (!strcmp (node->value, "auto") ||
!strcmp (node->value, "libcurl") ||
!strcmp (node->value, "socket") ||
!strcmp (node->value, "system") ||
!strcmp (node->value, "curl") ||
!strcmp (node->value, "pwsh") ||
!strcmp (node->value, "powershell") ||
!strcmp (node->value, "r2curl")) {
return true;
}
R_LOG_ERROR ("Invalid backend '%s'. Use '?' to list valid backends.", node->value);
return false;
// return false; // always return false to test
}
R_IPI bool r2ai_init(RCorePluginSession *cps) {
RCore *core = cps->core;
// Initialize state
@@ -460,12 +528,6 @@ R_IPI bool r2ai_init(RCorePluginSession *cps) {
// Initialize conversation container
r2ai_conversation_init (state);
char *rc_path = r_file_home (".config/r2ai/rc");
if (rc_path && r_file_exists (rc_path)) {
r_core_cmdf (core, ". %s", rc_path);
}
free (rc_path);
r_config_lock (core->config, false);
r_config_set_cb (core->config, "r2ai.api", R2AI_DEFAULT_PROVIDER, &cb_r2ai_api);
{
@@ -476,6 +538,8 @@ R_IPI bool r2ai_init(RCorePluginSession *cps) {
r_config_desc (core->config, "r2ai.api", desc);
free (desc);
}
r_config_set_cb (core->config, "r2ai.http.backend", "auto", &cb_r2ai_http_backend); // Options: auto, libcurl, socket, system, curl, pwsh, powershell, r2curl
r_config_desc (core->config, "r2ai.http.backend", "HTTP backend to use (auto, libcurl, socket, system, curl, pwsh, powershell, r2curl)");
r_config_set_cb (core->config, "r2ai.model", R2AI_DEFAULT_MODEL, &cb_r2ai_model);
r_config_desc (core->config, "r2ai.model", "Model identifier for the selected provider (e.g. gpt-5-mini)");
r_config_set (core->config, "r2ai.baseurl", "");
@@ -513,35 +577,42 @@ R_IPI bool r2ai_init(RCorePluginSession *cps) {
"strings from comments like 'string:'");
r_config_set (core->config, "r2ai.promptdir", "~/.config/r2ai/prompts");
r_config_desc (core->config, "r2ai.promptdir", "Directory containing .r2ai prompt files");
r_config_set_b (core->config, "r2ai.clippy", false);
r_config_desc (core->config, "r2ai.clippy", "Responses from the llm will be displayed by clippy");
r_config_set_b (core->config, "r2ai.stream", false);
r_config_desc (core->config, "r2ai.stream", "Enable streaming responses from the LLM (true/false)");
r_config_set_i (core->config, "r2ai.auto.max_runs", 50);
r_config_desc (core->config, "r2ai.auto.max_runs", "Maximum number of automated steps/runs in auto mode");
r_config_set_b (core->config, "r2ai.auto.hide_tool_output", false);
r_config_desc (core->config, "r2ai.auto.hide_tool_output", "Hide tool output when running automated actions");
r_config_set (core->config, "r2ai.auto.init_commands", "iI"); // "aaa;iI;afl~[3]"
r_config_set_b (core->config, "r2ai.auto.verbose", true);
r_config_desc (core->config, "r2ai.auto.verbose", "Show tool output when running automated actions");
r_config_set (core->config, "r2ai.auto.init_commands", "i"); // "aaa;iI;afl~[3]"
r_config_desc (core->config, "r2ai.auto.init_commands", "Initial commands executed when auto mode starts (semicolon separated)");
r_config_set_b (core->config, "r2ai.auto.yolo", false);
r_config_desc (core->config, "r2ai.auto.yolo", "Execute potentially dangerous commands in auto mode without asking");
r_config_set_b (core->config, "r2ai.auto.reset_on_query", false);
r_config_desc (core->config, "r2ai.auto.reset_on_query", "Reset auto-mode conversation state on new user queries");
r_config_set_b (core->config, "r2ai.chat.show_cost", true);
r_config_desc (core->config, "r2ai.chat.show_cost", "Display estimated API cost for chat interactions");
r_config_set_b (core->config, "r2ai.auto.think", true);
r_config_desc (core->config, "r2ai.auto.think", "Enable thinking/reasoning in auto mode prompts (true/false)");
r_config_set_i (core->config, "r2ai.http.timeout", 120);
r_config_set_i (core->config, "r2ai.http.timeout", 240);
r_config_desc (core->config, "r2ai.http.timeout", "HTTP client timeout (seconds) for provider API calls");
r_config_set_i (core->config, "r2ai.http.max_retries", 10);
r_config_set_i (core->config, "r2ai.http.max_retries", 5);
r_config_desc (core->config, "r2ai.http.max_retries", "Maximum number of HTTP retries for failed requests");
r_config_set_i (core->config, "r2ai.http.max_backoff", 30);
r_config_desc (core->config, "r2ai.http.max_backoff", "Maximum backoff time (seconds) between HTTP retries");
r_config_set (core->config, "r2ai.http.backend", "auto"); // Options: auto, libcurl, socket, system
r_config_desc (core->config, "r2ai.http.backend", "HTTP backend to use (auto, libcurl, socket, system)");
r_config_set_b (core->config, "r2ai.http.use_files", false);
r_config_desc (core->config, "r2ai.http.use_files", "Use temporary files to pass HTTP request/response payloads (true/false)");
r_config_set_b (core->config, "r2ai.auto.raw", false);
r_config_desc (core->config, "r2ai.auto.raw", "Use prompt engineering for tool calling instead of native API support (true/false)");
r_config_set_b (core->config, "r2ai.auto.usejs", true);
r_config_desc (core->config, "r2ai.auto.usejs", "Enable/disable the execute_js tool for auto mode (true/false)");
r_config_set_b (core->config, "r2ai.auto.slim", true);
r_config_desc (core->config, "r2ai.auto.slim", "Use slim mode for auto commands (temporarily disable asm.lines.fcn and scr.utf8)");
r_config_set_b (core->config, "r2ai.debug", false);
r_config_desc (core->config, "r2ai.debug", "Enable debug output including API request/response details and curl commands");
r_config_lock (core->config, true);
return true;
return load_r2airc (cps);
}
R_API bool r2ai_fini(RCorePluginSession *cps) {
@@ -562,11 +633,12 @@ R_API bool r2ai_fini(RCorePluginSession *cps) {
r_config_rm (core->config, "r2ai.http.max_backoff");
r_config_rm (core->config, "r2ai.http.backend");
r_config_rm (core->config, "r2ai.http.use_files");
r_config_rm (core->config, "r2ai.auto.slim");
r_config_rm (core->config, "r2ai.debug");
r_config_lock (core->config, true);
R2AI_State *state = cps->data;
r2ai_conversation_free (state);
r2ai_openai_fini (state);
if (state) {
r_vdb_free (state->db);
@@ -604,6 +676,7 @@ R_API RLibStruct radare_plugin = {
.type = R_LIB_TYPE_CORE,
.data = &r_core_plugin_r2ai_client,
.abiversion = R2_ABIVERSION,
.pkgname = "r2ai",
.version = R2_VERSION
};
#endif
+91 -54
View File
@@ -1,6 +1,9 @@
#ifndef R2AI_H
#define R2AI_H
#define _GNU_SOURCE
#define _POSIX_C_SOURCE 200809L
#include <time.h>
#include <stdint.h>
#include <stdbool.h>
@@ -8,10 +11,11 @@
#include <stdlib.h>
#include <r_core.h>
#include <r_util/r_json.h>
#include <r_types_base.h>
#include "r_vdb.h"
#include "markdown.h"
#define R2AI_VERSION "1.2.2"
#define R2AI_VERSION "1.3.2"
#if 0
#define R2AI_DEFAULT_MODEL "gpt-5-mini"
@@ -25,6 +29,28 @@
#define R2AI_DEFAULT_VECTORS 16
// HTTP configuration structure
typedef struct {
int timeout;
int max_retries;
int max_backoff;
} R2AI_HttpConfig;
// HTTP request structure
typedef struct {
R2AI_HttpConfig config;
const char *url;
const char *data;
const char * const *headers;
} HTTPRequest;
// HTTP response structure
typedef struct {
char *body;
int code;
int length;
} HttpResponse;
#if R2_VERSION_NUMBER < 60000
#error Your radare2 is too old
#endif
@@ -38,11 +64,7 @@ typedef struct {
char *parameters; // JSON string of parameters/input_schema
} R2AI_Tool;
// Tools array management
typedef struct {
R2AI_Tool *tools;
int n_tools;
} R2AI_Tools;
// Tools array management (now just RList<R2AI_Tool *>)
typedef struct {
const char *name;
@@ -50,6 +72,11 @@ typedef struct {
const char *id;
} R2AI_ToolCall;
/**
* Free an R2AI_ToolCall instance
*/
R_API void r2ai_tool_call_free(R2AI_ToolCall *tc);
typedef struct {
char *type;
char *id;
@@ -61,19 +88,25 @@ typedef struct {
char *text;
} R2AI_ContentBlock;
typedef struct {
R2AI_ContentBlock *blocks;
int n_blocks;
} R2AI_ContentBlocks;
// Content blocks (now just RList<R2AI_ContentBlock *>)
/**
* Create a new content blocks RList
*/
R_API RList *r2ai_content_blocks_new(void);
/**
* Free a content blocks RList
*/
R_API void r2ai_content_blocks_free(RList *cb);
typedef struct {
char *role;
char *content;
char *reasoning_content;
R2AI_ContentBlocks *content_blocks;
RList *content_blocks; // RList<R2AI_ContentBlock *>
char *tool_call_id;
R2AI_ToolCall *tool_calls;
int n_tool_calls;
RList *tool_calls; // RList<R2AI_ToolCall *>
} R2AI_Message;
typedef struct {
@@ -100,17 +133,14 @@ typedef struct {
const R2AI_Usage *usage;
} R2AI_ChatResponse;
// Messages array management
typedef struct {
RList *messages; // RList<R2AI_Message *>
} R2AI_Messages;
// Messages array management (now just RList<R2AI_Message *>)
typedef struct {
const char *input;
const char *model;
const char *system_prompt; // System prompt to use
const R2AI_Tools *tools; // Tools structure (replacing tools_json)
R2AI_Messages *messages; // Array of message objects
RList *tools; // Tools RList (replacing tools_json)
RList *messages; // Array of message objects
const char *provider;
const char *api_key;
int max_tokens;
@@ -122,8 +152,6 @@ typedef struct {
// Stats structure from auto.c
typedef struct {
double total_cost;
double run_cost;
int total_tokens;
int run_tokens;
int total_prompt_tokens;
@@ -136,20 +164,19 @@ typedef struct {
// Main state structure to hold all global state
typedef struct r2ai_state_t {
R2AI_Messages *conversation; // Global conversation messages (from messages.c)
RList *conversation; // Global conversation messages (from messages.c)
R2AIStats stats; // Global stats (from auto.c)
R2AI_Tools *tools; // Global tools instance (from tools.c)
RList *tools; // Global tools instance (from tools.c)
RMarkdownTheme current_theme; // Global theme (from markdown.c)
bool theme_initialized; // Global theme flag (from markdown.c)
void *help_msg; // Global help message (from r2ai.c)
RVdb *db; // Vector database for embeddings
HtPP *model_compat_db; // Model compatibility database (from openai.c)
} R2AI_State;
/**
* Initialize a new empty messages array
*/
R_API R2AI_Messages *r2ai_msgs_new(void);
R_API RList *r2ai_msgs_new(void);
/**
* Initialize the conversation container (call during plugin init)
@@ -159,53 +186,53 @@ R_API void r2ai_conversation_init(R2AI_State *state);
/**
* Get the conversation instance (returns NULL if not initialized)
*/
R_API R2AI_Messages *r2ai_conversation_get(R2AI_State *state);
R_API RList *r2ai_conversation_get(R2AI_State *state);
/**
* Clear all messages in a container without freeing the container
*/
R_API void r2ai_msgs_clear(R2AI_Messages *msgs);
R_API void r2ai_msgs_clear(RList *msgs);
/**
* Add a message to the array
* All strings are duplicated, so caller can free their copies
*/
R_API bool r2ai_msgs_add(R2AI_Messages *msgs, const R2AI_Message *msg);
R_API bool r2ai_msgs_add(RList *msgs, const R2AI_Message *msg);
/**
* Add a tool call to the last message in the array
* All strings are duplicated, so caller can free their copies
*/
R_API bool r2ai_msgs_add_tool_call(R2AI_Messages *msgs, const R2AI_ToolCall *tc);
R_API bool r2ai_msgs_add_tool_call(RList *msgs, const R2AI_ToolCall *tc);
/**
* Parse a JSON response string and add the messages to the array
* Returns true on success, false on failure
*/
R_API bool r2ai_msgs_from_response(R2AI_Messages *msgs, const char *json_str);
R_API bool r2ai_msgs_from_response(RList *msgs, const char *json_str);
/**
* Parse a RJson object directly and add the messages to the array
* Returns true on success, false on failure
*/
R_API bool r2ai_msgs_from_json(R2AI_Messages *msgs, const RJson *json);
R_API bool r2ai_msgs_from_json(RList *msgs, const RJson *json);
/**
* Convert messages array to JSON string
* Caller must free the returned string
*/
R_API char *r2ai_msgs_to_json(const R2AI_Messages *msgs);
R_API char *r2ai_msgs_to_json(const RList *msgs);
/**
* Convert messages array to Anthropic format JSON string
* Caller must free the returned string
*/
R_API char *r2ai_msgs_to_anthropic_json(const R2AI_Messages *msgs);
R_API char *r2ai_msgs_to_anthropic_json(const RList *msgs);
/**
* Free a messages array and all associated data
*/
R_API void r2ai_msgs_free(R2AI_Messages *msgs);
R_API void r2ai_msgs_free(RList *msgs);
/**
* Free the conversation (call during plugin unload)
@@ -217,45 +244,40 @@ R_API void r2ai_conversation_free(R2AI_State *state);
*/
R_API void r2ai_message_free(R2AI_Message *msg);
/**
* Free a R2AIPrompt structure
*/
R_API void r2aiprompt_free(R2AIPrompt *prompt);
/**
* Delete the last N messages from the message array
* If n <= 0, defaults to deleting just the last message
*/
R_API void r2ai_delete_last_messages(R2AI_Messages *messages, int n);
R_API void r2ai_delete_last_messages(RList *messages, int n);
/**
* Get the global tools instance
* Returns a pointer to the global tools structure
* Get the tools instance from state
* Returns a pointer to the tools RList
*/
R_API const R2AI_Tools *r2ai_get_tools(void);
R_API RList *r2ai_get_tools(RCore *core, R2AI_State *state);
/**
* Parse OpenAI format tools JSON into internal tools structure
* Parse OpenAI format tools JSON into internal tools RList
* Caller must free the result with r2ai_tools_free
*/
R_API R2AI_Tools *r2ai_tools_parse(const char *tools_json);
R_API RList *r2ai_tools_parse(const char *tools_json);
/**
* Convert tools structure to OpenAI format JSON
* Convert tools RList to OpenAI format JSON
* Caller must free the returned string
*/
R_API char *r2ai_tools_to_openai_json(const R2AI_Tools *tools);
R_API char *r2ai_tools_to_openai_json(const RList *tools);
/**
* Convert tools structure to Anthropic format JSON
* Convert tools RList to Anthropic format JSON
* Caller must free the returned string
*/
R_API char *r2ai_tools_to_anthropic_json(const R2AI_Tools *tools);
R_API char *r2ai_tools_to_anthropic_json(const RList *tools);
/**
* Free a tools structure and all associated data
* Free a tools RList and all associated data
*/
R_API void r2ai_tools_free(R2AI_Tools *tools);
R_API void r2ai_tools_free(RList *tools);
/**
* Execute a tool and return the output
@@ -264,7 +286,13 @@ R_API void r2ai_tools_free(R2AI_Tools *tools);
* command which was run
* Caller must free edited_command
*/
R_API char *execute_tool(RCore *core, const char *tool_name, const char *args, char **edited_command);
R_API char *execute_tool(RCore *core, const char *tool_name, const char *args, char **edited_command, char **comment_out);
/**
* Execute r_core_cmd_str with slim mode if enabled
* Temporarily sets asm.lines.fcn=false and scr.utf8=false if r2ai.auto.slim is true
*/
R_API char *r2ai_cmdstr(RCore *core, const char *cmd);
/**
* Send an HTTP POST request
@@ -305,7 +333,9 @@ R_IPI R2AI_ChatResponse *r2ai_anthropic(RCorePluginSession *cps, R2AIArgs args);
// openai
R_IPI R2AI_ChatResponse *r2ai_openai(RCorePluginSession *cps, R2AIArgs args);
R_IPI void r2ai_openai_fini(R2AI_State *state);
// gemini
R_IPI R2AI_ChatResponse *r2ai_gemini(RCorePluginSession *cps, R2AIArgs args);
// auto mode
R_IPI void cmd_r2ai_a(RCorePluginSession *cps, const char *user_query);
@@ -318,12 +348,14 @@ R_IPI R2AI_ChatResponse *r2ai_llmcall(RCorePluginSession *cps, R2AIArgs args);
R2AI_ChatResponse *r2ai_rawtools_llmcall(RCorePluginSession *cps, R2AIArgs args);
R_IPI void cmd_r2ai_c(RCorePluginSession *cps);
R_IPI void cmd_r2ai_logs(RCorePluginSession *cps);
R_IPI void cmd_r2ai_lr(RCorePluginSession *cps);
/**
* Process messages through LLM and handle tool calls recursively
*/
R_API void process_messages(RCorePluginSession *cps, R2AI_Messages *messages, const char *system_prompt, int n_run);
R_API void process_messages(RCorePluginSession *cps, RList *messages, const char *system_prompt, int n_run);
/**
* Helper function to convert RJson to string
@@ -335,5 +367,10 @@ R_API char *r_json_to_string(const RJson *json);
*/
R_API PJ *r_json_to_pj(const RJson *json, PJ *existing_pj);
R_API void r2ai_cmd_q(RCorePluginSession *cps, const char *input);
R_API char *find_prompt_file(RList *search_dirs, const char *name);
R_API R2AIPrompt *parse_prompt_file(const char *filepath);
R_API void r2aiprompt_free(R2AIPrompt *prompt);
R_API char *r2ai_load_prompt_text(RCore *core, const char *name);
R_API char *strip_command_comment(const char *input, char **comment_out);
#endif
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