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..
220 Commits
Author SHA1 Message Date
pancake e24dbab677 Release 1.4.4 2026-09-06 21:23:13 +02:00
pancake c765269b02 Add allocation checks and use calloc for KD-tree nodes 2026-09-06 21:13:54 +02:00
pancake 55b856e70b Refactor LLM call logic and improve tool call handling 2026-09-06 21:13:50 +02:00
pancake 5e148bc882 Null checks and improve error handling for curl and powershell 2026-09-06 21:13:42 +02:00
pancake 9f93754483 Fix baseurl with ending slashes 2026-08-19 16:22:42 +02:00
pancake d262fabb2b Add r2plugin abstraction for decai 2026-08-18 17:07:35 +02:00
pancake d0a1f292f5 Release 1.4.2 2026-08-16 21:26:19 +02:00
pancake dad02ac243 Fix OpenAI-compatible endpoint selection for Ollama 2026-08-05 00:42:46 +02:00
dependabot[bot] 02c561c415 Bump radareorg/github-actions from 2 to 3
Bumps [radareorg/github-actions](https://github.com/radareorg/github-actions) from 2 to 3.
- [Release notes](https://github.com/radareorg/github-actions/releases)
- [Commits](https://github.com/radareorg/github-actions/compare/v2...v3)

---
updated-dependencies:
- dependency-name: radareorg/github-actions
  dependency-version: '3'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <[email protected]>
2026-08-04 18:21:02 +02:00
pancake 9414cdf72b Fix build for latest r2 (abiversion 125) 2026-07-22 18:04:38 +02:00
pancake 7cc61c4cc5 Generic core editor helper 2026-07-16 16:13:17 +02:00
pancake e4875eeb37 Fix build with r2 from git 2026-07-16 13:38:30 +02:00
pancake 888251a2ea Improve kvcache misses and improve token usage 2026-06-28 19:14:33 +02:00
pancake af6153ad64 Support r2ai.apitype (also in decai) to specify generate/chat 2026-06-28 19:14:29 +02:00
dependabot[bot] 87e4e7b232 Bump actions/checkout from 6 to 7 2026-06-22 16:18:17 +02:00
pancake cc3a003a64 Cleanup the openai implementation 2026-06-17 18:07:49 +02:00
pancake f2be5cc3c2 Release 1.4.0 2026-06-03 09:53:26 +02:00
dependabot[bot] e360148931 Bump radareorg/github-actions from 1 to 2 2026-05-18 09:43:20 +03:00
pancake d06a9ee361 Implement -d in the r2ai shell to decompile from the cli 2026-05-14 21:41:20 +02:00
pancake 2e7b97b065 Add r2ai -s to seek on start 2026-05-14 21:34:28 +02:00
orbisai0security cd5d9a1640 Fix shell injection in the abandoned python implementation 2026-05-14 08:18:20 +02:00
Ole André Vadla Ravnås e606392aaf Emit libr2ai.a for embedders
meson uses library() so -Ddefault_library picks the kind.
Makefile also runs ar rcs and installs libr2ai.a + r2ai.h.
2026-05-09 13:11:07 +02:00
pancake 8bf1169844 Implement r2ai -do to decompile with offsets 2026-05-06 13:15:32 +02:00
pancake 90e3bbafc5 Format code 2026-05-05 20:05:56 +02:00
pancake e5a0639b88 Remvoe support for legacy query prompts 2026-05-05 20:02:23 +02:00
pancake 80f27cd4d9 Add -qj to list query prompts in json format 2026-05-05 19:56:40 +02:00
pancake 455da7bdba Improve query prompts syntax and parser 2026-05-05 19:49:18 +02:00
pancake 623e98ed3d Show tool command to be executed when prompting 2026-05-05 19:16:50 +02:00
pancake 17bf56b5e3 Add explicit aprove/reject actions for async tasks 2026-05-05 18:27:58 +02:00
pancake f50a7836eb Initial support for r2plugin xps 2026-05-05 14:03:40 +02:00
pancake 2d9b69c624 Reduce tool calling parameters using the new ToolResult struct 2026-05-05 13:54:48 +02:00
pancake de9c7c904c Auto prompt is no longer a global 2026-05-05 11:32:57 +02:00
pancake 6b3ea982cd Better structure for r2ai-sj 2026-05-05 11:13:50 +02:00
pancake 209d9257ee Use RCoreHelpMessage in async commands 2026-05-05 11:11:46 +02:00
pancake b840d002ee Fix #226 - R2AI_HEADERS and r2ai.http.headers 2026-05-05 10:56:44 +02:00
pancake 9d900b2a6b Fix autopurge in -sj/-s and rename -s*/-sp 2026-05-05 06:45:23 +02:00
AsherDLL 227b15e793 Add Vertex AI provider for Gemini and Anthropic models 2026-04-24 13:49:40 +02:00
pancake 4b9dbf7686 Fully go for RCore.call 2026-04-21 19:48:49 +02:00
pancake 8ca32e258f Add async.purge option and fix some thread locks 2026-04-20 20:56:16 +02:00
pancake 449c41eae6 Format the code again 2026-04-20 20:28:40 +02:00
pancake 5210fe6892 Initial support for async tasks 2026-04-20 20:26:36 +02:00
pancake 6222791075 Add SOUL.md/IDENTITY.md personality files via -id command 2026-04-14 20:48:50 +02:00
pancake 05ce908e3a Fix ollamacloud api arguments object error 2026-04-14 19:07:50 +02:00
pancake b8457c0bfa Release 1.3.8 2026-04-13 22:46:10 +02:00
pancake 6a256b9210 Refresh auto tool list when r2ai.auto.usejs changes 2026-04-13 22:45:30 +02:00
pancake 8cc748ab4c Honor per-call model/provider overrides in LLM backends 2026-04-13 22:35:18 +02:00
pancake 17df397a3d Fix argument parsing to make -Lj actually work 2026-04-13 19:54:42 +02:00
pancake fcd464f1cc Fix OpenAI debug crash with keyless backends 2026-04-13 19:48:08 +02:00
pancake 1f41b6d2d7 Fix getopt parsing for -i, -dr and -Rq 2026-04-13 19:43:37 +02:00
pancake adf8189541 Fix UB in r2ai_message_free error paths 2026-04-13 18:01:24 +02:00
dependabot[bot] cb8f3548ff Bump softprops/action-gh-release from 2 to 3 2026-04-13 18:00:24 +02:00
pancake b99034e5d8 Fix user message not included when the message list was empty 2026-04-12 21:17:53 +02:00
pancake fa1f6c1d3c Fix few logic mistakes swapping name/desc and such 2026-04-12 21:16:01 +02:00
pancake d9fb7b18df Fix duplicated user message then r2ai.data=true 2026-04-12 21:14:01 +02:00
pancake e0b9ff235c Fix invalid free crashes on tool call block 2026-04-12 21:00:38 +02:00
pancake e1bf58d4e4 Some better variable names for decai 2026-04-12 18:40:34 +02:00
pancake 51a63ac7ef Remove unused and duplicated logic using helpers where needed 2026-04-12 18:35:07 +02:00
pancake c3a3eff046 Single helper to check if function is available in decai 2026-04-12 18:11:18 +02:00
pancake 37b5c2b6d0 Fix thinking level issue causing slow queries in r2ai 2026-04-12 11:53:35 +02:00
pancake 0e6a8cc2e2 In decai fix thinking options for glm models making a clear time improvements 2026-04-12 11:42:55 +02:00
pancake 8dcc6f0418 Release 1.3.6 2026-04-11 18:06:11 +02:00
pancake b68cdd1171 Fix empty query bug in r2ai -i 2026-04-10 16:00:58 +02:00
pancake 3f935a46be Do not silently discards caller-provided message history 2026-04-10 15:53:19 +02:00
pancake fd46390d41 Break auto mode when receiving unknown actions 2026-04-10 15:45:42 +02:00
pancake 63106508dc In decai: Restore model state when decopipe execution fails 2026-04-10 15:45:00 +02:00
pancake 46f42d3dd9 Ignore comment lines in decai.txt (decai -E) 2026-04-09 21:39:08 +02:00
pancake 836fae3d91 Use github actions to install r2 in the ci 2026-04-09 11:02:00 +02:00
pancake 66dd3dced7 Oops missing file 2026-04-09 10:44:16 +02:00
pancake c016fc72ed Release 1.3.4 2026-03-31 18:32:01 +02:00
Abhi 779b787f2d Fix URL formatting for OpenAI compatible API 2026-03-31 16:49:22 +02:00
pancake ca210f149b Add zen, ollamacloud and lmstudio providers to r2ai, sync with decai 2026-03-30 17:46:10 +02:00
pancake 99e99b1797 Reduce some LOCs in decai 2026-03-30 16:51:16 +02:00
pancake fb5427238b Add 'decai -E' for the defaults 2026-03-30 16:45:46 +02:00
pancake d7c2dacd7a Add decai timeout, zen provider, improve prompt, custom headers and more 2026-03-30 16:38:10 +02:00
pancake d6c32f4b72 decai: tighten types and simplify provider/config handling 2026-03-30 15:26:23 +02:00
dependabot[bot] 0a083e7231 Bump actions/download-artifact from 4 to 8 2026-03-30 15:20:45 +02:00
dependabot[bot] 1a067fbbfc Bump softprops/action-gh-release from 1 to 2 2026-03-30 15:18:54 +02:00
dependabot[bot] 8a724d3682 Bump actions/upload-artifact from 4 to 7 2026-03-30 15:18:30 +02:00
dependabot[bot] 8f7d152aa3 Bump actions/checkout from 5 to 6 2026-03-30 15:17:48 +02:00
pancake 7120c325da Add dependabot 2026-03-30 13:47:53 +02:00
pancake 14c991cd10 Update ci actions 2026-03-30 13:47:16 +02:00
pancake d1ef1e065e Welcome to the initial r2clippy wizard 2026-03-30 13:45:06 +02:00
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
pancake 8886365925 Release 1.2.2 2025-10-25 11:03:12 +02:00
pancake 01d8e29420 Remove the r2-5.x compat macros 2025-10-25 11:02:39 +02:00
pancake e8b556ee5d Use r_sys_sleep and simplify the overengineered retry_sleep logic 2025-10-25 10:50:05 +02:00
pancake 6c336f48f7 Fix the meson build 2025-10-24 02:35:34 +02:00
pancake 53d61831b2 Initial support for vscode stype prompt files 2025-10-24 02:31:03 +02:00
pancake cbcff6b9dd Add r2ai -E in the cli 2025-10-24 02:29:34 +02:00
pancake f04bf8162e Add the manpage for r2ai.1 2025-10-24 02:04:36 +02:00
pancake 0206ceb390 Add support for r2ai -E and ~/.config/r2ai/rc 2025-10-24 02:00:15 +02:00
pancake ff1f788c48 Minor fix 2025-10-24 01:36:58 +02:00
pancake df135b2c70 Use jan-nano by default and fix the undefined in decai 2025-10-24 01:27:24 +02:00
pancake c152777bbe Dont do rawtools by default yet 2025-10-23 19:06:09 +02:00
pancake 3e084ce797 Implement r2ai.auto.raw to use tool calling with non-tools models 2025-10-23 02:12:36 +02:00
pancake 7fce8788b5 Release 1.2.0 2025-10-21 20:49:18 +02:00
pancake 585e30470e Aim to fix the execute_js tool for r2ai -a 2025-10-21 20:48:28 +02:00
pancake 5594e64ef3 r2ai-q must be public on windows 2025-10-21 20:44:07 +02:00
pancake 904a356290 Update READMEs 2025-10-21 20:40:17 +02:00
pancake d1e2bcf911 Use the powershell http fallback when needed 2025-10-21 20:38:10 +02:00
pancake 21528f7ea8 Use ollama/gpt-oss:20b as default provider/model pair 2025-10-21 20:34:58 +02:00
pancake 2883d134aa Add a WIP decompiler prompt 2025-10-21 20:18:58 +02:00
pancake ec96ba3329 Improve the behaviour of 'r2ai -m' to show, list and select models 2025-10-21 20:12:43 +02:00
pancake f92ea17b01 Move r2ai -n into r2ai -q autoname 2025-10-21 20:07:03 +02:00
pancake 2dc92031e7 Move r2ai -v into r2ai -q varnames 2025-10-21 20:03:16 +02:00
pancake 55d54b4953 Move r2ai -s into r2ai -q signature 2025-10-21 19:58:16 +02:00
pancake 35460e639c Move r2ai -x into r2ai -q explain 2025-10-21 19:49:47 +02:00
pancake a5382c17c4 Move r2ai -V to 'r2ai -q vulns' 2025-10-21 19:41:10 +02:00
pancake f4bdb847db Fix null deref when ^C in r2ai 2025-10-21 19:40:40 +02:00
pancake a7c3d3767c Use r2 -NNH instead of r2 -H to fix build when r2 have broken plugins 2025-10-21 19:29:09 +02:00
pancake 97c47ab28a Add -m, -p, -q to choose model, provider and query from the cli
* Fix the ollama provider
2025-10-21 19:24:11 +02:00
pancake c36bc1500c Dont pass R2AIState if we can pass the RCorePluginSession 2025-10-21 18:58:16 +02:00
pancake 179cb6ca58 Remove statistics global variable 2025-10-21 18:45:49 +02:00
pancake 402c31cc96 Handle -v and -h in the r2ai executable 2025-10-21 18:32:47 +02:00
pancake be14729424 Stop using the deprecated r_cons_singleton 2025-10-21 18:28:09 +02:00
pancake aa9b8e0fba Refactoring with the aim to reduce LOCs in r2ai_http.c 2025-10-21 18:24:09 +02:00
pancake 96225cd555 Update AGENTS.md 2025-10-21 17:45:39 +02:00
pancake 321ca1bb41 Move the LLM related functions from r2ai.c into llm.c 2025-10-21 17:29:14 +02:00
pancake d94ed5a088 Fix r2ai's main and use cps everywhere 2025-10-21 16:40:57 +02:00
pancake 3537d006de Added support to query custom user prompts in r2ai 2025-10-21 00:10:28 +02:00
pancake bdcee9e736 Remove global states, requires r2-6.0 at least 2025-10-20 21:54:48 +02:00
pancake 074b7a6c9f Add AGENTS.md for r2ai.c 2025-10-20 21:25:24 +02:00
pancake 6697df8437 Use RList instead of vector for messages. Fix message count in r2ai -L 2025-10-20 21:04:30 +02:00
pancake ff0fb4c802 Add version information in decai help message and use rcons 2025-10-20 19:49:40 +02:00
pancake ca7d02e03c Refactor the api/providers logic for easier maintainance 2025-10-20 17:35:43 +02:00
pancake bd105b2b0e Fix #176 - Do not accept invalid values in "r2ai -e api=" 2025-10-20 16:57:53 +02:00
pancake 5e18525403 Use clang-format-radare2 instead of the hacky indent.py 2025-10-20 16:48:42 +02:00
pancake c9d0756e74 Fallback to powershell when curl is not found on Windows 2025-10-20 11:05:20 +02:00
Abhi d3fc79f9d1 Fix tmp dir on android(termux) 2025-10-14 09:27:50 +02:00
pancake 8f4c972beb Remove pkg-config hard dependency for r2 >= 6.0.5 2025-10-08 13:51:34 +02:00
pancake f95cda42f7 Release 1.1.2 2025-10-06 23:25:27 +02:00
pancake b241f30432 Fix leak in openai_url 2025-10-06 23:25:01 +02:00
pancake 8eb50e466b Include the r2ai plugin in the meson ci builds 2025-10-06 23:22:01 +02:00
pancake 14b5dcbfb9 Fix make install and warnings 2025-10-06 22:59:22 +02:00
cryptax e264f8f0c8 More references In the README.md 2025-10-06 15:45:10 +02:00
pancake 46c2ce6c62 Fix r2ai install when old symlinks are around 2025-10-03 22:34:36 +02:00
pancake 693ad9270c Handle ollama errors 2025-10-03 18:21:35 +02:00
143 changed files with 11072 additions and 5264 deletions

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+8
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@@ -0,0 +1,8 @@
version: 2
updates:
- package-ecosystem: "github-actions"
directory: "/"
schedule:
interval: "weekly"
labels:
- buildsystem
+15 -44
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@@ -1,8 +1,5 @@
name: CI and Release
env:
R2V: 6.0.4
on:
push:
branches:
@@ -26,7 +23,7 @@ jobs:
steps:
- name: Checkout
uses: actions/checkout@v4
uses: actions/checkout@v7
- name: Setup Meson/Ninja
if: matrix.build_system == 'meson'
@@ -34,38 +31,9 @@ jobs:
python -m pip install --upgrade pip
pip install meson ninja
- name: Install radare2 on Linux
if: matrix.os == 'ubuntu-24.04'
run: |
wget "https://github.com/radareorg/radare2/releases/download/${R2V}/radare2_${R2V}_amd64.deb"
wget "https://github.com/radareorg/radare2/releases/download/${R2V}/radare2-dev_${R2V}_amd64.deb"
sudo dpkg -i "radare2_${R2V}_amd64.deb"
sudo dpkg -i "radare2-dev_${R2V}_amd64.deb"
- name: Install radare2 on macOS
if: matrix.os == 'macos-latest'
run: |
git clone --depth=1 --branch "${{env.R2V}}" https://github.com/radareorg/radare2
cd radare2
sys/install.sh
- name: Install radare2 on Windows
if: matrix.os == 'windows-latest'
shell: powershell
run: |
$url = "https://github.com/radareorg/radare2/releases/download/${{ env.R2V }}/radare2-${{ env.R2V }}-w64.zip"
$dest = "$env:TEMP\radare2.zip"
Invoke-WebRequest -Uri $url -OutFile $dest -UseBasicParsing
$prefix = 'C:\radare2'
if (Test-Path $prefix) { Remove-Item -Path $prefix -Recurse -Force }
Expand-Archive -Path $dest -DestinationPath $prefix -Force
# Move contents from subdirectory if present
$subdirs = Get-ChildItem -Path $prefix -Directory
if ($subdirs.Count -eq 1) {
$subdir = $subdirs[0]
Get-ChildItem -Path $subdir.FullName | Move-Item -Destination $prefix -Force
Remove-Item -Path $subdir.FullName -Recurse -Force
}
- name: Install radare2
id: r2
uses: radareorg/github-actions@v3
- name: Build with Make
if: matrix.build_system == 'make'
@@ -75,7 +43,7 @@ jobs:
if: matrix.build_system == 'meson' && matrix.os != 'windows-latest'
run: |
cd src
meson setup build -Dr2_prefix=${{ secrets.R2_PREFIX }} || meson configure build
meson setup build || meson configure build
meson compile -C build
- name: Build with Meson (Windows)
@@ -83,7 +51,7 @@ jobs:
shell: powershell
run: |
cd src
$prefix = 'C:\radare2'
$prefix = "${{ steps.r2.outputs.prefix }}"
meson setup build --backend ninja --prefix="$prefix" -Dr2_prefix="$prefix"
if ($LASTEXITCODE -ne 0) { meson configure build }
meson compile -C build
@@ -93,8 +61,11 @@ jobs:
shell: bash
run: |
mkdir -p release
cp -rf src/r2ai.dll src/r2ai.exe src/r2ai src/r2ai.dylib src/r2ai.so release/ || true
cp -rf src/build/r2ai src/build/r2ai.dylib src/build/r2ai.so release/ || true
# Collect common binary artefact names produced by Make/Meson
# Include both "r2ai.*" and "libr2ai.*" variants for DLL/dylib/so on all platforms.
find src -type f \( -iname "r2ai.dll" -o -iname "libr2ai.dll" -o -iname "r2ai.dylib" -o -iname "libr2ai.dylib" -o -iname "r2ai.so" -o -iname "libr2ai.so" -o -iname "r2ai.exe" \) -exec cp -f {} release/ \; || true
# Also check top-level build output directories
find . -maxdepth 3 -type f \( -iname "r2ai.dll" -o -iname "libr2ai.dll" -o -iname "r2ai.dylib" -o -iname "libr2ai.dylib" -o -iname "r2ai.so" -o -iname "libr2ai.so" -o -iname "r2ai.exe" \) -exec cp -f {} release/ \; || true
cp -f decai/decai.r2.js release/ || true
if command -v zip >/dev/null 2>&1; then
zip -j "release/r2ai-${{ github.ref_name }}-${{ matrix.os }}-${{ matrix.build_system }}.zip" release/*
@@ -104,7 +75,7 @@ jobs:
- name: Upload artifacts (tags only)
if: startsWith(github.ref, 'refs/tags/')
uses: actions/upload-artifact@v4
uses: actions/upload-artifact@v7
with:
name: ${{ matrix.os }}-${{ matrix.build_system }}-binary
path: release/r2ai-${{ github.ref_name }}-${{ matrix.os }}-${{ matrix.build_system }}.zip
@@ -124,7 +95,7 @@ jobs:
contents: write
steps:
- name: Checkout
uses: actions/checkout@v4
uses: actions/checkout@v7
- name: Verify tag is on master
run: |
@@ -135,7 +106,7 @@ jobs:
fi
- name: Download artifacts
uses: actions/download-artifact@v4
uses: actions/download-artifact@v8
with:
path: release-artifacts
@@ -143,7 +114,7 @@ jobs:
run: cp decai/decai.r2.js release-artifacts/
- name: Create GitHub Release
uses: softprops/action-gh-release@v1
uses: softprops/action-gh-release@v3
with:
files: |
release-artifacts/**/*.zip
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+14
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@@ -0,0 +1,14 @@
SHELL=/bin/bash
MODELS=gpt-oss:20b gemma3:4b gemma3:12b
MODELS+=granite3-dense:8b mannix/jan-nano:latest yi-coder:latest qwen3:latest deepseek-coder-v2:latest hhao/qwen2.5-coder-tools:latest qwen2.5-coder:latest
MODELS=granite3-dense:8b mannix/jan-nano:latest yi-coder:latest qwen3:latest deepseek-coder-v2:latest hhao/qwen2.5-coder-tools:latest qwen2.5-coder:latest
LANGS=Dart Perl Ruby Javascript PHP C
all:
for a in ${MODELS} ; do \
declare -a ARGS; \
for l in ${LANGS} ; do \
ARGS+=("echo \"decai -e model=$$a;decai -e lang=$$l;s 0x100000924;af;decai -d\" | r2 -q /bin/ls"); \
done ; \
./run.sh "$${ARGS[@]}" > ${a//\//_}.html ; done
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@@ -1,6 +1,5 @@
#!/bin/bash
cp decai/BENCH.txt tmp/BENCH.txt
# Find all directories containing BENCH.txt
dirs=$(find . -name "BENCH.txt" -type f | xargs dirname | sort | uniq)
@@ -47,4 +46,4 @@ cat <<EOF >> benchmark_index.html
<br />
<br />
</html>
EOF
EOF
@@ -1,55 +1,12 @@
#!/bin/bash
# Generate HTML output for command executions with collapsible sections and width control
# If PLAIN=1, output plain text instead
if [ $# -lt 4 ]; then
echo "Usage: $0 <binary> <model> <provider> <lang1> [lang2 ...]"
echo "Or: $0 command1 [command2 ...] (legacy)"
if [ $# -eq 0 ]; then
echo "Usage: $0 command1 [command2 ...]"
exit 1
fi
# Check if first arg is a file (binary), assume new format
if [ -f "$1" ]; then
binary="$1"
model="$2"
provider="$3"
shift 3
langs=("$@")
commands=()
for lang in "${langs[@]}"; do
# commands+=("# $lang echo \"decai -e model=$model;decai -e lang=$lang;decai -e api=$provider;af;decai -d\" | r2 -q $binary 2> /dev/null")
commands+=("# $lang r2 -e scr.color=0 -qcq -qc \"decai -e model=$model;decai -e lang=$lang;decai -e api=$provider;af;decai -d\" $binary")
done
set -- "${commands[@]}"
else
# Legacy mode
commands=("$@")
fi
if [ "$PLAIN" = "1" ]; then
# In plain mode, execute each command and print raw output.
# Also, if TXTFILE is set, save combined raw output there.
tmp_plain=$(mktemp)
for cmd in "$@"; do
if [[ "$cmd" =~ ^#[[:space:]]*(.*) ]]; then
exec_cmd="${BASH_REMATCH[1]}"
else
exec_cmd="$cmd"
fi
tmpout=$(mktemp)
eval "$exec_cmd" > "$tmpout" 2>&1 || true
mv "$tmpout" "$tmp_plain"
rm -f "$tmpout"
done
if [ -n "$TXTFILE" ]; then
mv "$tmp_plain" "$TXTFILE"
else
rm -f "$tmp_plain"
fi
exit 0
fi
# Timeout in seconds for each command (configurable via TIMEOUT environment variable)
TIMEOUT=${TIMEOUT:-30}
@@ -152,27 +109,24 @@ EOF
# Process each command
for cmd in "$@"; do
# Extract title: if command starts with #, parse title and command, else use the command
if [[ "$cmd" =~ ^#[[:space:]]*([^[:space:]]+)[[:space:]]*(.*) ]]; then
# Extract title: if command starts with #, use the rest as title, else use the command
if [[ "$cmd" =~ ^#[[:space:]]*(.*) ]]; then
title="${BASH_REMATCH[1]}"
exec_cmd="${BASH_REMATCH[2]}"
exec_cmd="${cmd#*#}"
exec_cmd="${exec_cmd#"${exec_cmd%%[![:space:]]*}"}" # trim leading spaces
else
title="$cmd"
exec_cmd="$cmd"
fi
echo "RUN $exec_cmd" > /dev/stderr
# Execute command and time it
start_time=$(date +%s.%N)
tmpfile=$(mktemp)
# echo "eval $exec_cmd > $tmpfile" > /dev/stder
eval "$exec_cmd" > "$tmpfile" 2> /dev/null &
eval "$exec_cmd" > "$tmpfile" 2>&1 &
pid=$!
(sleep $TIMEOUT && kill $pid 2>/dev/null) &
wait $pid 2>/dev/null
output=$(cat "$tmpfile")
#echo "$output" > /dev/stderr
rm "$tmpfile"
exit_code=$?
end_time=$(date +%s.%N)
@@ -185,16 +139,8 @@ for cmd in "$@"; do
execution_time=$(printf "%.3f" "$execution_time")
fi
# Save plain output to .txt file if in new format
if [ -n "$binary" ]; then
txtfile="tmp/${binary##*/}_${model//\//_}_${title}.txt"
mkdir -p "$(dirname "$txtfile")" 2>/dev/null || true
echo "$output" > "$txtfile"
fi
# Escape HTML in output
#escaped_output=$(echo "$output" | sed 's/&/\&amp;/g; s/</\&lt;/g; s/>/\&gt;/g')
escaped_output="$output"
escaped_output=$(echo "$output" | sed 's/&/\&amp;/g; s/</\&lt;/g; s/>/\&gt;/g')
cat << EOF
<div class="command-section expanded">
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+14 -3
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@@ -50,8 +50,16 @@ def stt(seconds, lang):
return
tts("(r2ai) listening for 5s... ", "digues?", lang)
print(f"DEVICE IS {device}")
os.system("rm -f .audiomsg.wav")
rc = os.system(f"ffmpeg -f avfoundation -t 5 -i '{device}' .audiomsg.wav > /dev/null 2>&1")
try:
os.remove(".audiomsg.wav")
except OSError:
pass
result = subprocess.run(
["ffmpeg", "-f", "avfoundation", "-t", "5", "-i", device, ".audiomsg.wav"],
stdout=subprocess.DEVNULL,
stderr=subprocess.DEVNULL
)
rc = result.returncode
if rc != 0:
tts("(r2ai)", "cannot record from microphone. missing permissions in terminal?", lang)
return
@@ -60,7 +68,10 @@ def stt(seconds, lang):
result = model.transcribe(".audiomsg.wav")
else:
result = model.transcribe(".audiomsg.wav", language=lang)
os.system("rm -f .audiomsg.wav")
try:
os.remove(".audiomsg.wav")
except OSError:
pass
tts("(r2ai)", "ok", lang)
text = result["text"].strip()
if text == "you":
-1
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@@ -1 +0,0 @@
recursive-include r2ai/ui *.tcss
+7 -2
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@@ -1,4 +1,9 @@
TARGETS=all clean mrproper user-install install user-uninstall uninstall
TARGETS=all clean mrproper user-install install user-uninstall uninstall fmt indent
$(TARGETS):
$(MAKE) -C src $@
.PHONY: $(TARGETS)
test: all
$(MAKE) -C test
.PHONY: $(TARGETS) test
+38 -19
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@@ -19,14 +19,17 @@
This repository contains two plugins for radare2:
* **r2ai** - native plugin for radare2
* **decai** - r2js plugin with special focus on decompilation
* **r2ai** - native [AI plugin](./src/README.md) for radare2
* **decai** - r2js plugin with special [focus on decompilation](./decai/README.md)
If you are looking to use radare2 with other agents via MCP:
* **r2mcp** - the [official radare2 mcp](https://github.com/radare2/radare2-mcp)
* **r2copilot** - the mcp with focus on CTF [r2copilot](https://github.com/darallium/r2-copilot)
If you are looking for a radare2 focused autonomous agent:
* **r2agent** - automate radare2 workflows through autonomous agents. [r2agent](https://github.com/nitanmarcel/r2agent)
## Features
* Configure different roles and customize prompts
@@ -37,12 +40,21 @@ If you are looking to use radare2 with other agents via MCP:
* RAG markdown, code or textfiles using its native vector database
* Embed the output of an r2 command and resolve questions on the given data
## Practical Examples
## User defined Prompts
* Enhanced decompilation with `r2ai -d`
* Autoname functions with `r2ai -n`
* Explain function with `r2ai -x`
* Find vulnerabilities with `r2ai -V`
```console
[0x00000000]> r2ai -q
explain: Explain the current function -
devices: Find and explain devices used -
libs: Group imports by Libraries -
varnames: Better variable names -
autoname: Automatically suggest a better name for this function -
vulns: Find vulnerabilities or bugs in the current function -
signature: Suggest an improved function signature -
dlopen: List libraries loaded with dlopen - Some libraries are loaded
decompile: Augmented decompilation based on LLM -
[0x00000000]>
```
## Installation
@@ -58,39 +70,46 @@ $ 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
```
## Documentation
## Further Reading
* There's [a chapter](https://book.rada.re/plugins/r2ai.html) in the official r2book
* Cryptax on [lmstudio+gptoss](https://cryptax.medium.com/r2ai-with-lmstudio-and-gpt-oss-08efa5ea2476) blog post
* Malware analysis [with r2ai](https://github.com/cryptax/talks/blob/master/BSidesKristiansand-2025/r2ai.pdf) by Cryptax
* Malware analysis [with r2ai](https://arxiv.org/pdf/2504.07574) by Cryptax and Daniel Nakov
* Analysis of [Linux/Trigona ransomware](https://cryptax.medium.com/linux-trigona-analysis-with-r2ai-3e2bd1815e52), [Linux/Prometei botnet](https://cryptax.medium.com/reversing-a-prometei-botnet-binary-with-r2-and-ai-part-one-3cdb3dc6ffab) and [W32/SkyAI](https://cryptax.medium.com/w32-skyai-uses-ai-so-do-i-d33f04d63534with) with r2ai
## Videos
- https://infosec.exchange/@radareorg/111946255058894583
- [Solving a crackme](https://infosec.exchange/@radareorg/111946255058894583)
- [De-obfuscation of malware Linux/Ladvix](https://asciinema.org/a/724126)
- [Analysis of the /fast option inside Linux/Trigona ransomware](https://asciinema.org/a/pBPEaJhp6cunWSKFpBUDTgPt4)
+1 -1
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@@ -1 +1 @@
1.1.1
1.4.4
+4 -1
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@@ -1,3 +1,6 @@
#!/bin/sh
vim src/r2ai.c
vim decai/src/constants.ts
make -C decai/src
vim src/r2ai.h
vim src/meson.build
vim VERSION
+13
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@@ -0,0 +1,13 @@
# Decompiler based AI
## Actions
* Build: `make -C src`
* Install: `make user-install`
* Test: `r2 -A -qc "decai -e api=ollamacloud;decai -e model=glm-5;decai -d @ 0x100000924" /bin/ls`
## Hints
* Never read the minified, autogenerated `decai.r2.js`
* Focus and work only on the TypeScript source
* Never run `tsc` or `npx`. Always use `make` targets to compile
+5 -6
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@@ -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
+15
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@@ -37,6 +37,7 @@ Usage: decai (-h) ...
decai -dd [..] - same as above, but ignoring cache
decai -dD [query]- decompile current function with given extra query
decai -e - display and change eval config vars
decai -E - edit decai.txt
decai -h - show this help
decai -i [f] [q] - include given file and query
decai -n - suggest better function name
@@ -55,10 +56,12 @@ Configuration options:
```console
[0x00000000]> decai -e
decai -e api=ollama
decai -e apitype=chat
decai -e host=http://localhost
decai -e port=11434
decai -e prompt=Rewrite this function and respond ONLY with code, NO explanations, NO markdown, Change 'goto' into if/else/for/while, Simplify as much as possible, use better variable names, take function arguments and strings from comments like 'string:'
decai -e ctxfile=
decai -e headers=
decai -e cmds=pdc
decai -e cache=false
decai -e lang=C
@@ -96,6 +99,10 @@ decai -e ctxfile=
...
```
Persist user defaults in `~/.config/r2ai/decai.txt` with one `key=value` entry
per line, then edit it with `decai -E`. That file is loaded on the first
`decai` command in a session and reloaded after `decai -E` exits.
List possible APIs to discuss with AI: `decai -e api=?`:
```
@@ -106,6 +113,14 @@ openapi
...
```
Extra headers can be injected globally with `decai -e headers=...` or from the
environment with `DECAI_HEADERS` / `R2AI_HEADERS`. Use one header per line, for
example:
```console
[0x00406cac]> decai -e headers=Authorization: Bearer sk-123\nUser-Agent: curl/8.7.1
```
### Example using a local model and ollama
For example, if Ollama serves model codegeex4:latest (`ollama ls`), set decai
+62 -1244
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+36
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@@ -0,0 +1,36 @@
# decai r2plugin
Boilerplate to embed `decai.r2.js` inside the radare2 core library using the
external plugin system (XPS). Unlike `r2ai/r2plugin`, this does not link any
native code: the r2.js script is converted into a C buffer and registered as
an embedded startup script, so r2 runs it at startup exactly like a file in
the `plugins/*.r2.js` directory (honoring `cfg.plugins`).
The `decai.r2.js` bundle is built from the typescript sources with
`r2frida-compile` (see `make -C src` in the decai directory). The C buffer is
generated at build time with `rax2 -C` (make builds) or `js2c.py` (meson).
## Usage
decai lives inside the r2ai repository, so expose it as `libr/xps/p/decai`:
```console
cd radare2/libr/xps/p
git clone https://github.com/radareorg/r2ai
ln -s r2ai/decai decai
```
For acr/make builds:
```console
cd radare2
make -C libr/xps EXTERNAL_PLUGINS=decai
./configure-plugins
make
```
For meson builds, make `libr/xps/p/meson.build` contain:
```meson
subdir('decai/r2plugin')
```
+2
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@@ -0,0 +1,2 @@
/Users/pancake/prg/radare2/libr/xps/p/decai/r2plugin/core/decai.r2.js.o: \
/Users/pancake/prg/radare2/libr/xps/p/decai/r2plugin/core/decai.r2.js.c
+3
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@@ -0,0 +1,3 @@
#ifdef R2_CORE_H
extern RCorePlugin r_core_plugin_decai;
#endif
+10
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@@ -0,0 +1,10 @@
DECAI_CORE_WD=$(LIBR)/xps/p/decai
DECAI_CORE_OBJ= \
$(DECAI_CORE_WD)/r2plugin/core/plugin.o \
$(DECAI_CORE_WD)/r2plugin/core/decai.r2.js.o
EXTERNAL_STATIC_OBJS+=$(DECAI_CORE_OBJ)
# decai.r2.js can be rebuilt from typescript with r2frida-compile (make -C src)
$(DECAI_CORE_WD)/r2plugin/core/decai.r2.js.c: $(DECAI_CORE_WD)/decai.r2.js
rax2 -C < $(DECAI_CORE_WD)/decai.r2.js | \
sed -e 's,^unsigned,const unsigned,' -e 's,buf,decai_qjs,g' > $@
+35
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@@ -0,0 +1,35 @@
/* decai - LGPL - Copyright 2026 - pancake */
#include <r_core.h>
// generated from ../decai.r2.js, see ../deps.mk
extern const unsigned char decai_qjs[];
extern const unsigned int decai_qjs_len;
static bool decai_init(RCorePluginSession *cps) {
r_core_script_embed (cps->core, "decai", "qjs", (const char *)decai_qjs, (int)decai_qjs_len);
return true;
}
static bool decai_call(RCorePluginSession *cps, const char *input) {
return false;
}
RCorePlugin r_core_plugin_decai = {
.meta = {
.name = "decai",
.desc = "AI decompiler (embedded decai.r2.js)",
.author = "pancake",
.license = "MIT",
},
.init = decai_init,
.call = decai_call,
};
#ifndef R2_PLUGIN_INCORE
R_API RLibStruct radare_plugin = {
.type = R_LIB_TYPE_CORE,
.data = &r_core_plugin_decai,
.version = R2_VERSION,
};
#endif
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+1
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@@ -0,0 +1 @@
include p/decai/r2plugin/core/deps.mk
+11
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@@ -0,0 +1,11 @@
#!/usr/bin/env python3
"""Convert a script file into a C buffer named decai_qjs (same output as `rax2 -C` + sed)."""
import sys
data = open(sys.argv[1], "rb").read()
with open(sys.argv[2], "w") as f:
f.write("const unsigned char decai_qjs[] = {\n")
for i in range(0, len(data), 16):
f.write(" %s,\n" % ", ".join("0x%02x" % b for b in data[i:i + 16]))
f.write("};\nconst unsigned int decai_qjs_len = %d;\n" % len(data))
+16
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@@ -0,0 +1,16 @@
# decai XPS integration for radare2.
# Included from libr/xps/meson.build when decai lives under libr/xps/p/decai/.
# Unlike native plugins, decai ships no native code: decai.r2.js is embedded
# as a buffer in libr_core and the tiny core plugin registers it with
# r_core_script_embed() so r2 runs it at startup like any plugins/*.r2.js file.
core_plugins += ['decai']
decai_py3 = import('python').find_installation()
r_core_additional_sources += files('core/plugin.c')
r_core_additional_sources += custom_target('decai_r2_js_c',
input: '../decai.r2.js',
output: 'decai.r2.js.c',
command: [decai_py3, files('js2c.py'), '@INPUT@', '@OUTPUT@'],
)
+1
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@@ -0,0 +1 @@
core.decai
+18
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@@ -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
+53
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@@ -0,0 +1,53 @@
import { API_KEYS_PATH, DECAI_CONFIG_DIR } from "./constants";
import { providerRegistry } from "./providers";
import { ApiKeyResult } from "./types";
import { ensurePath, fileExists, parseEnvLikeString } from "./utils";
function getProviderEnvMap(): Record<string, string> {
return Object.fromEntries(
Object.entries(providerRegistry)
.filter(([, v]) => v.authKey)
.map(([k, v]) => [k, v.authKey!]),
);
}
export function getApiKey(provider: string, envvar: string): ApiKeyResult {
const keyEnv = r2.cmd("'%" + envvar).trim();
if (!keyEnv.includes("=") && keyEnv !== "") {
return [keyEnv.trim(), null, "env"];
}
const providerLower = provider.toLowerCase();
const keysPath = API_KEYS_PATH;
if (fileExists(keysPath)) {
const keyFile = r2.cmd("'cat " + keysPath);
const kv = parseEnvLikeString(keyFile);
if (providerLower in kv) {
return [kv[providerLower], null, "txt"];
}
}
const keyPath = "~/.r2ai." + providerLower + "-key";
if (fileExists(keyPath)) {
const keyFile = r2.cmd("'cat " + keyPath);
return keyFile === ""
? [null, "Cannot read " + keyPath, "no"]
: [keyFile.trim(), null, "file"];
}
return [null, "Not available", "nope"];
}
export function editApiKeys(): void {
ensurePath(DECAI_CONFIG_DIR, API_KEYS_PATH);
r2.cmd("'ed " + API_KEYS_PATH);
}
export function listApiKeys(): void {
Object.entries(getProviderEnvMap()).forEach(([key, env]) => {
const status = getApiKey(key, env)[2];
console.log(status, "\t", key);
});
}
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import { AutoReply } from "./types";
import { state } from "./state";
import { COMMAND, DEFAULT_PROMPT, HELP_TEXT, VERSION } from "./constants";
import {
b64,
filterResponse,
trimAnsi,
trimDown,
trimJson,
} from "./utils";
import { editApiKeys, listApiKeys } from "./apiKeys";
import { editRcConfig, evalConfig, listAllConfig } from "./config";
import { r2ai } from "./r2ai";
function withColorDisabled<T>(fn: () => T): T {
const origColor = r2.cmd("e scr.color");
r2.cmd("e scr.color=0");
try {
return fn();
} finally {
r2.cmd("e scr.color=" + origColor);
}
}
export function showHelp(): void {
let helpmsg = "";
const msg = (m: string) => (helpmsg += " " + COMMAND + " " + m + "\n");
helpmsg += "Usage: " + COMMAND + " (-h) ...\n";
helpmsg += "Version: " + VERSION + "\n";
msg("-a [query] - solve query with auto mode");
msg("-b [url] - set base URL (alias for decai -e baseurl)");
msg("-d [f1 ..] - decompile given functions");
msg("-dd [..] - same as above, but ignoring cache");
msg("-dD [query] - decompile current function with given extra query");
msg("-dr - decompile function and its called ones (recursive)");
msg("-e - display and change eval config vars");
msg("-E - edit and run decai.txt");
msg("-h - show this help");
msg("-H - help setting up r2ai");
msg("-i [f] [q] - include given file and query");
msg("-k - list API key status");
msg("-K - edit apikeys.txt");
msg("-m [model] - use -m? or -e model=? to list the available models");
msg("-n - suggest better function name");
msg("-p [provider] - same as decai -e api (will be provider)");
msg("-q [text] - query language model with given text");
msg("-Q [text] - query on top of the last output");
msg("-r [prompt] - change role prompt (same as: decai -e prompt)");
msg("-R - reset role prompt to default prompt");
msg("-s - function signature");
msg("-v - show local variables");
msg("-V - find vulnerabilities");
msg("-x[*] - eXplain current function (-x* for r2 script)");
r2.log(helpmsg.trim());
}
export function decompile(
args: string,
extraQuery: boolean,
useCache: boolean,
recursiveCalls: boolean,
): string | undefined {
if (useCache) {
const cachedAnnotation = r2.cmd("anos").trim();
if (cachedAnnotation.length > 0) {
return cachedAnnotation;
}
}
let context = "";
if (recursiveCalls) {
const at = r2.cmd("s");
context += "## Context functions:\n";
const funcs = r2.cmdAt("axff~^C[2]~$$", at);
for (const addr of funcs.split(/\n/g)) {
context += r2.cmd("pdc@" + addr);
}
r2.cmd("s " + at);
}
const appendQuery = extraQuery ? " " + args : "";
try {
const parsedArgs = args.slice(2).trim();
let text = "";
if (
state.contextFile !== "" &&
r2.cmd2("test -f " + state.contextFile).value === 0
) {
text += "## Context:\n[START]\n" +
r2.cmd("cat " + state.contextFile) +
"\n[END]\n";
}
const { body, count } = withColorDisabled(() => {
let body = "## Before:\n";
let count = 0;
for (const c of state.commands.split(",")) {
if (c.trim() === "") continue;
const oneliner = extraQuery || parsedArgs.trim().length === 0
? c
: c + "@@= " + parsedArgs;
const output = r2.cmd(oneliner);
if (output.length > 5) {
body += "Output of " + c + ":\n[START]\n" + output + "\n[END]\n";
count++;
}
}
body += "## After:\n";
return { body, count };
});
if (count === 0) {
console.error("Nothing to do.");
return;
}
let out = "";
if (state.decopipe.use) {
const origModel = state.model;
try {
const dpipe = state.decopipe[state.decopipe.default as string] as {
pipeline: Array<{ model?: string; query: string }>;
globalQuery: string;
};
let code = text + body;
for (const dp of dpipe.pipeline) {
if (dp.model) state.model = dp.model;
const query = dp.query + ". " + dpipe.globalQuery;
out = r2ai(query, code, true);
if (state.debug) {
console.log("QUERY\n", query, "\nINPUT\n", code, "\nOUTPUT\n", out);
}
code = out;
}
out = code;
} finally {
state.model = origModel;
}
} else {
const query = appendQuery;
text += body + context;
out = r2ai(query, text, false);
state.lastOutput = out;
}
if (useCache && out.length > 1) {
r2.call("ano=base64:" + b64(out));
}
if (out.startsWith("```")) {
out = out.replace(/```.*\n/, "").replace(/```$/, "");
}
return out.trim();
} catch (e) {
const err = e as Error;
console.error(err, err.stack);
return;
}
}
export function explainFunction(): string {
const hints = withColorDisabled(() =>
"[START]" +
state.commands.split(",").map((c) => r2.cmd(c)).join("\n") + "[END]"
);
const res = r2ai(
"Analyze function calls, references, comments and strings, loops and ignore registers and memory accesses. Explain the purpose of this function in a single short sentence. /no_think Do not introduce or argue the response, translation of the explanation in " +
state.humanLanguage,
hints,
true,
);
const lines = res.trim().split(/\n/g);
return lines[lines.length - 1].trim();
}
export function suggestSignature(): string {
const tmp = state.language;
const code = r2.cmd("afv;pdc");
state.language = "C";
let out = "'afs " +
r2ai(
"analyze the uses of the arguments and return value to infer the signature, identify which is the correct type for the return. Do NOT print the function body, ONLY output the function signature, like if it was going to be used in a C header",
code,
false,
);
const brace = out.indexOf("{");
if (brace !== -1) {
out = out.substring(0, brace);
}
state.language = tmp;
return out;
}
export function autoMode(
queryText: string,
mainHandler: (args: string) => boolean,
): void {
const replies: string[] = [];
while (true) {
let q = HELP_TEXT.auto;
if (replies.length > 0) {
q += "## Command Results\n\n";
for (const rep of replies) {
const rp = JSON.parse(rep);
q += "### " + rp.command + "\n\n```\n" + rp.response + "\n```\n";
}
}
q += "\n\n## User Prompt\n\n" + queryText;
if (state.debug) {
console.log("#### input\n", q, "\n#### /input");
}
console.log("Thinking...");
const out = r2ai("", q, true);
if (state.debug) {
console.log("#### output\n", out, "\n#### /output");
}
try {
const o: AutoReply = JSON.parse(
trimJson(trimDown(filterResponse(out))),
);
if (
o.action === "r2cmd" ||
o.action === "response" ||
o.action === o.command
) {
const ocmd = o.command || "";
if (o.reason) {
console.log("[r2cmd] Reasoning: " + o.reason);
if (state.tts) {
r2.syscmd("pkill say");
r2.syscmd(
"say -v Alex -r 250 '" + o.reason.replace(/'/g, "") + "' &",
);
}
}
console.log("[r2cmd] Action: " + o.description);
console.log("[r2cmd] Command: " + ocmd);
let cmd = ocmd;
if (!state.yolo) {
cmd = autoRepl(ocmd, mainHandler);
}
console.log("[r2cmd] Running: " + cmd);
const obj = r2.cmd2(cmd);
const logs = obj.logs
? obj.logs.map((x: { type: string; message: string }) =>
x.type + ": " + x.message
).join("\n")
: "";
const res = (obj.res + logs).trim();
console.log(res);
const cleanRes = trimAnsi(res);
if (state.debug) {
console.log("<r2output>\n", cleanRes, "\n<(r2output>");
}
replies.push(
JSON.stringify({
action: "response",
command: cmd,
description: o.description,
response: cleanRes,
}),
);
} else if (o.action === "reply") {
console.log("Done\n", o.response);
break;
} else {
console.log("Unknown response\n", JSON.stringify(out));
break;
}
} catch (e) {
const response = out.indexOf('response": "');
if (response !== -1) {
const res = out
.slice(response + 12)
.replace(/\\n/g, "\n")
.replace(/\\/g, "");
console.log(res);
} else {
console.log(out);
console.error(e);
}
break;
}
}
}
function autoRepl(
ocmd: string,
mainHandler: (args: string) => boolean,
): string {
while (true) {
const cmd = r2.cmd("'?ie Tweak command? ('?' for help)").trim();
if (cmd === "q!") {
console.error("Break!");
break;
}
if (cmd === "?") {
autoHelp();
continue;
} else if (cmd.startsWith(":")) {
console.log(r2.cmd(cmd.slice(1)));
continue;
} else if (cmd.startsWith("-e")) {
mainHandler(cmd);
continue;
} else if (cmd === "!") {
return "?e do NOT execute '" + ocmd + "' again, continue without it";
} else if (cmd.startsWith("!")) {
console.log(r2.syscmd(cmd.slice(1)));
continue;
} else if (cmd === "q") {
return "?e All data collected!. Do not call more commands, reply the solutions";
} else if (!cmd) {
return ocmd;
} else {
const comment = cmd.indexOf("#");
if (comment !== -1) {
const command = cmd.slice(0, comment).trim();
return command;
}
return cmd;
}
}
return ocmd;
}
function autoHelp(): void {
console.log(" '!' do not run this command");
console.log(" '!c' run system command");
console.log(" 'q' to quit auto and try to solve");
console.log(" 'q!' quit auto without solving");
console.log(" 'c # C' use given command with comment");
console.log(" ':c' run r2 command without feeding auto");
console.log(" '-e' set decai configuration variables");
}
function getFlagValue(args: string): string {
return args.slice(2).trim();
}
function currentFunctionExists(): boolean {
return r2.cmd("afi.").trim().length > 0;
}
const noFunctionMessage = "Cannot find function at current offset";
export function handleCommand(
args: string,
mainHandler: (args: string) => boolean,
): string | undefined {
if (args === "" || !args.startsWith("-")) {
showHelp();
return;
}
let output = "";
const flag = args[1];
const argValue = getFlagValue(args);
switch (flag) {
case "H":
console.log(HELP_TEXT.decai);
break;
case "a":
autoMode(argValue, mainHandler);
break;
case "m": {
if (argValue === "=") {
evalConfig("model=");
} else if (argValue) {
evalConfig("model=" + argValue);
} else {
evalConfig("model");
}
break;
}
case "n":
case "f": {
if (!currentFunctionExists()) {
output = noFunctionMessage;
break;
}
output = r2.cmd("axff~$[3]");
const considerations = r2
.cmd("fd.")
.trim()
.split(/\n/)
.filter((x: string) => !x.startsWith("secti"))
.join(",");
output = r2ai(
"give me a better name for this function. the output must be: 'afn NEWNAME'. do not include the function code, only the afn line. consider: " +
considerations,
output,
false,
).trim();
output += " @ " + r2.cmd("?v $FB").trim();
break;
}
case "v": {
if (!currentFunctionExists()) {
output = noFunctionMessage;
break;
}
output = r2.cmd("afv;pdc");
output = r2ai(
"guess a better name and type for each local variable and function argument taking using. output an r2 script using afvn and afvt commands",
output,
false,
);
break;
}
case "i": {
const parts = argValue.split(/\s+/).filter(Boolean);
if (parts.length >= 2) {
const file = parts[0];
const query = parts.slice(1).join(" ");
const fileData = r2.cmd("cat " + file);
console.log(r2ai(query, fileData, true));
} else {
console.log("Use: decai -i [file] [query ...]");
}
break;
}
case "p": {
if (argValue) {
evalConfig("api=" + argValue);
} else {
listApiKeys();
}
break;
}
case "r": {
if (argValue) {
state.prompt = argValue;
} else {
console.log(state.prompt);
}
break;
}
case "R":
state.prompt = DEFAULT_PROMPT;
break;
case "s":
if (!currentFunctionExists()) {
output = noFunctionMessage;
break;
}
output = suggestSignature();
break;
case "V":
output = r2ai(
"find vulnerabilities, dont show the code, only show the response, provide a sample exploit",
state.lastOutput,
false,
);
break;
case "K":
editApiKeys();
break;
case "E":
editRcConfig();
break;
case "k":
listApiKeys();
break;
case "b": {
if (argValue) {
evalConfig("baseurl=" + argValue);
} else {
console.log(state.baseurl);
}
break;
}
case "e": {
if (argValue) {
evalConfig(argValue);
} else {
listAllConfig();
}
break;
}
case "q":
try {
output = r2ai(argValue, null, true);
} catch (e) {
const err = e as Error;
console.error(err, err.stack);
}
break;
case "Q":
output = r2ai(argValue, state.lastOutput, false);
break;
case "x":
if (!currentFunctionExists()) {
output = noFunctionMessage;
break;
}
output = explainFunction();
if (args[2] === "*" || args[2] === "r") {
output = "'CC " + output;
}
break;
case "d":
if (args[2] === "r") {
output = decompile(args.slice(2), true, state.cache, true) || "";
} else if (args[2] === "d") {
output = decompile(args, false, false, false) || "";
} else if (args[2] === "D") {
output = decompile(args, true, false, false) || "";
} else {
output = decompile(args, false, state.cache, false) || "";
}
break;
default:
showHelp();
break;
}
return output || undefined;
}
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import { ConfigHandler, ConfigHandlers } from "./types";
import { DECAI_CONFIG_DIR, DECAI_CONFIG_PATH } from "./constants";
import { defaultState, state } from "./state";
import { listModelsFor } from "./models";
import { listProviders } from "./providers";
import { formatHeaders, parseHeaders } from "./headers";
import { ensurePath, fileExists } from "./utils";
let rcConfigLoaded = false;
function parseBoolean(value: string): boolean {
return value === "true" || value === "1";
}
type StateKey = keyof typeof state;
function boolHandler(key: StateKey): ConfigHandler {
// deno-lint-ignore no-explicit-any
const s = state as any;
return {
get: () => s[key] as boolean,
set: (v: string) => { s[key] = parseBoolean(v); },
};
}
function stringHandler(key: StateKey): ConfigHandler {
// deno-lint-ignore no-explicit-any
const s = state as any;
return {
get: () => s[key] as string,
set: (v: string) => { s[key] = v; },
};
}
function normalizeApiType(value: string): "chat" | "generate" | null {
const apiType = value.trim();
if (apiType === "chat") {
return "chat";
}
if (apiType === "generate") {
return "generate";
}
return null;
}
export const configHandlers: ConfigHandlers = {
pipeline: {
get: () => state.pipeline,
set: (v: string) => {
state.pipeline = v;
try {
state.decopipe = JSON.parse(r2.cmd("cat " + v));
} catch (e) {
console.error(e);
}
},
},
model: {
get: () => state.model,
set: (v: string) => {
if (v === "?") {
listModelsFor(state.api);
} else {
state.model = v.trim();
}
},
},
deterministic: boolHandler("deterministic"),
files: boolHandler("useFiles"),
think: {
get: () => state.think || "false",
set: (v: string) => { state.think = v; },
},
apitype: {
get: () => state.apitype,
set: (v: string) => {
const apiType = normalizeApiType(v);
if (apiType) {
state.apitype = apiType;
} else {
console.error("Invalid apitype. Use chat or generate.");
}
},
},
debug: boolHandler("debug"),
timeout: {
get: () => state.timeout,
set: (v: string) => { state.timeout = Math.max(0, parseInt(v, 10) || 0); },
},
api: {
get: () => state.api,
set: (v: string) => {
if (v === "?") {
console.error(listProviders().join("\n"));
} else {
state.api = v;
}
},
},
lang: stringHandler("language"),
hlang: stringHandler("humanLanguage"),
cache: boolHandler("cache"),
cmds: stringHandler("commands"),
tts: boolHandler("tts"),
yolo: boolHandler("yolo"),
prompt: stringHandler("prompt"),
ctxfile: stringHandler("contextFile"),
baseurl: stringHandler("baseurl"),
headers: {
get: () => formatHeaders(state.extraHeaders),
set: (v: string) => { state.extraHeaders = parseHeaders(v); },
},
maxtokens: {
get: () => state.maxInputTokens,
set: (v: string) => { state.maxInputTokens = parseInt(v, 10) || -1; },
},
};
function resetRcConfigState(): void {
const keep = { host: state.host, port: state.port, lastOutput: state.lastOutput };
Object.assign(state, defaultState, keep);
state.decopipe = { ...defaultState.decopipe };
state.extraHeaders = [...defaultState.extraHeaders];
}
function normalizeRcLine(line: string): string | null {
const trimmed = line.trim();
if (!trimmed || trimmed.startsWith("#")) {
return null;
}
return trimmed.startsWith("decai -e ")
? trimmed.slice("decai -e ".length).trim()
: trimmed;
}
export function evalConfig(arg: string): void {
const eqIndex = arg.indexOf("=");
const k = eqIndex === -1 ? arg : arg.slice(0, eqIndex);
const v = eqIndex === -1 ? undefined : arg.slice(eqIndex + 1);
const handler = configHandlers[k];
if (!handler) {
console.error("Unknown config key");
return;
}
if (typeof v !== "undefined") {
handler.set(v);
} else {
console.log(handler.get());
}
}
export function listAllConfig(): void {
Object.entries(configHandlers).forEach(([key, handler]) => {
const value = handler.get();
console.log("decai -e " + key + "=" + value);
});
}
export function loadRcConfig(): void {
resetRcConfigState();
if (!fileExists(DECAI_CONFIG_PATH)) {
return;
}
const rcFile = r2.call("cat " + DECAI_CONFIG_PATH);
for (const line of rcFile.split(/\r?\n/)) {
const rcLine = normalizeRcLine(line);
if (rcLine && rcLine[0] != '#') {
evalConfig(rcLine);
}
}
}
export function ensureRcConfigLoaded(): void {
if (rcConfigLoaded) {
return;
}
loadRcConfig();
rcConfigLoaded = true;
}
export function editRcConfig(): void {
ensurePath(DECAI_CONFIG_DIR, DECAI_CONFIG_PATH);
r2.cmd("'ed " + DECAI_CONFIG_PATH);
loadRcConfig();
rcConfigLoaded = true;
}
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export const VERSION = "1.4.4";
export const COMMAND = "decai";
export const DECAI_CONFIG_DIR = "~/.config/r2ai";
export const API_KEYS_PATH = DECAI_CONFIG_DIR + "/apikeys.txt";
export const DECAI_CONFIG_PATH = DECAI_CONFIG_DIR + "/decai.txt";
export const DEFAULT_PROMPT =
"Rewrite this pseudocode into concise and clean code. Output only the provided function. Do not add wrappers, helper examples, test code, or main-like functions. Replace goto with structured control flow, simplify as much as possible, infer types and use better names for variables and parameters, some strings may be appearing as comments, preserve only what is implied by the input, and remove dead code.";
export const HELP_TEXT = {
decai: `# Using Decai
Decai is the radare2 plugin for decompiling functions with the help of language models.
By default uses a local ollama server, but can you can pick any other service by using 'decai -e api=?'.
[0x00000000]> decai -e api=?
r2ai deepseek anthropic claude gemini groq hf lmstudio mistral ollama ollamacloud openapi openai openrouter vllm xai zen
## Using Ollama
* Visit https://ollama.com to install it.
* Download the model of choice: 'ollama run llama3.3'
* Configure decai to use the given model with: 'decai -e model=?'
These are the most recommended models for decompiling in local:
* hhao/qwen2.5-coder-tools:latest (18GB of ram)
* hhao/qwen2.5-coder-tools:32b (24GB of ram required)
## Common Options
* 'decai -e baseurl=<url>' override default host and port for API endpoint (e.g., 'http://localhost:11434')
* 'decai -e apitype=chat|generate' choose the Ollama API endpoint (default: chat)
* 'decai -e headers=Authorization: Bearer ...\\nUser-Agent: curl/8.7.1' add or override HTTP headers
* "export DECAI_HEADERS='Authorization: Bearer ...\\nUser-Agent: curl/8.7.1'" set extra headers from the environment
* 'decai -e timeout=0' disable curl timeouts, or set a positive number of seconds
* 'decai -e deterministic=true' to remove randomness from decompilation responses
* 'decai -e lang=Python' to output the decompilation in Python instead of C
* 'decai -e hlang=Catalan' to add comments or explanations in that language (instead of English)
* 'decai -e cmds=pdd,pdg' use r2dec and r2ghidra instead of r2's pdc as input for decompiling
* 'decai -e prompt=..' default prompt must be fine for most models and binaries, feel free to tweak it
## API Keys
Remove services like OpenAI, Mistral, Anthropic, Grok, Gemini, .. require API keys to work.
See 'decai -k' to list the status of available APIkeys
Use 'decai -K' to edit apikeys.txt and 'decai -E' to edit decai.txt.
Decai will pick them from the environment or the config files in your home:
* echo KEY > ~/.r2ai.openai-key
* export OPENAI_API_KEY=...
* put one 'key=value' pair per line in ~/.config/r2ai/decai.txt
## Using the R2AI Server:
Install r2ai or r2ai-server with r2pm:
[0x0000000]> decai -e api=r2ai
[0x0000000]> r2pm -ci r2ai
Choose one of the recommended models (after r2pm -r r2ai):
* -m ibm-granite/granite-20b-code-instruct-8k-GGUF
* -m QuantFactory/granite-8b-code-instruct-4k-GGUF
* -m TheBloke/Mistral-7B-Instruct-v0.2-GGUF
Start the webserver:
$ r2pm -r r2ai-server -l r2ai -m granite-8...
`,
auto: `# Radare2 Auto Mode
Use function calling to execute radare2 commands in order to resolve the user request defined in the "User Prompt" section, analyze the responses attached in the "Command Results" section.
## Function Calling
Respond ONLY using plain JSON. Process user query and decide which function calls are necessary to solve the task.
1. Analyze the user request to determine if we need to run commands to extend the knowledge and context of the problem.
2. If function call is needed, construct the JSON like this:
- Fill the "action" key with the "r2cmd" value.
- Specify the "command" as a string.
- Optionally, provide a "reason" and "description"
3. If the answer can be provided and no more function calls are required:
- Use the key "action": "reply".
- Include "response" with the direct answer to the user query.
Return the result as a JSON object.
### Sample Function Calling Communication
Command Results: already performed actions with their responses
User Prompt: "Count how many functions we have here."
Response:
{
"action": "r2cmd",
"command": "aflc",
"description": "Count functions"
"reason": "Evaluate if the program is analyzed before running aaa"
}
## Rules
Use radare2 to resolve user requests.
* Explain each step in the "reason" field of the JSON.
* Follow the initial analysis instructions.
* Output only valid JSON as specified.
* Decompile and inspect functions, starting from main.
* Run only the needed commands to gather info.
* Use "@ (address|symbol)" to seek temporarily.
* Output should be a verbose markdown report.
* Use "sym." or "fcn." prefixes if "pdc" is empty.
* If a seek fails, use "f~name" to find the symbol's address.
### Initial Analysis
1. Run "aflc" to count the number of functions
2. If the output of "aflc" is "0" run "aaa" once, then "aflc" again
3. Run only one command at a time (do not use ";")
### Special cases
* On Swift binaries run...
`,
};
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import { state } from "./state";
const HEADER_ENV_VARS = ["DECAI_HEADERS", "R2AI_HEADERS"];
interface ParsedHeader {
name: string;
value: string;
}
function readEnvVar(name: string): string {
const value = r2.cmd("'%" + name).trim();
return value !== "" && !value.includes("=") ? value : "";
}
function normalizeHeaderName(name: string): string {
return name.trim().toLowerCase();
}
function parseHeaderLine(line: string): ParsedHeader | null {
const colon = line.indexOf(":");
const equals = line.indexOf("=");
const sep = colon !== -1 && (equals === -1 || colon < equals)
? colon
: equals;
if (sep === -1) {
return null;
}
const name = line.slice(0, sep).trim();
if (name === "") {
return null;
}
return {
name,
value: line.slice(sep + 1).trim(),
};
}
function formatHeader(header: ParsedHeader): string {
return header.value === ""
? `${header.name}:`
: `${header.name}: ${header.value}`;
}
function collectHeaders(
headerLines: string[],
into: Map<string, string>,
): void {
for (const rawLine of headerLines) {
const header = parseHeaderLine(rawLine.trim());
if (header) {
into.set(normalizeHeaderName(header.name), formatHeader(header));
}
}
}
export function parseHeaders(value: string): string[] {
const headers = new Map<string, string>();
const lines = value.replace(/\\n/g, "\n").split(/\r?\n/g)
.filter((l) => { const t = l.trim(); return t && !t.startsWith("#"); });
collectHeaders(lines, headers);
return Array.from(headers.values());
}
export function formatHeaders(headers: string[]): string {
return headers.join("\\n");
}
export function mergeHeaders(...groups: string[][]): string[] {
const merged = new Map<string, string>();
for (const group of groups) {
collectHeaders(group, merged);
}
return Array.from(merged.values());
}
function readConfiguredEnvHeaders(): string[] {
for (const name of HEADER_ENV_VARS) {
const value = readEnvVar(name);
if (value) {
return parseHeaders(value);
}
}
return [];
}
export function getConfiguredHeaders(): string[] {
return mergeHeaders(readConfiguredEnvHeaders(), state.extraHeaders);
}
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import { HttpResponse } from "./types";
import { state } from "./state";
import { mergeHeaders } from "./headers";
import { debugLog } from "./utils";
interface HttpRequestOptions {
method: "GET" | "POST";
url: string;
headers: string[];
payload?: string;
}
function shellEscape(arg: string): string {
return `'${arg.replace(/'/g, `'"'"'`)}'`;
}
function executeCurl(options: HttpRequestOptions): string {
const { method, url, headers, payload } = options;
const cmdParts = ["curl", "-s"];
if (state.timeout > 0) {
cmdParts.push("--max-time", String(state.timeout));
}
const requestHeaders = mergeHeaders(
["Content-Type: application/json"],
headers,
);
requestHeaders.forEach((h) => cmdParts.push("-H", shellEscape(h)));
if (method === "POST") {
if (!payload) throw new Error("Payload required for POST requests");
const tmpfile = r2.fdump(payload);
cmdParts.push("--data-binary", "@" + shellEscape(tmpfile), shellEscape(url));
const cmd = cmdParts.join(" ") + "; rm " + shellEscape(tmpfile);
debugLog(cmd);
return r2.syscmds(cmd);
} else {
cmdParts.push(shellEscape(url));
const cmd = cmdParts.join(" ");
debugLog(cmd);
return r2.syscmds(cmd);
}
}
function parseNdjson(output: string): HttpResponse | null {
const lines = output.split("\n").filter((l) => l.trim() !== "");
if (lines.length <= 1) return null;
let content = "";
let lastObj: Record<string, unknown> | null = null;
for (const line of lines) {
try {
const obj = JSON.parse(line);
if (obj.error) return obj as HttpResponse;
if (obj.message?.content !== undefined) {
content += obj.message.content;
}
lastObj = obj;
} catch {
return null;
}
}
if (lastObj) {
lastObj.message = { role: "assistant", content };
return lastObj as HttpResponse;
}
return null;
}
export function httpRequest(options: HttpRequestOptions): HttpResponse {
try {
const output = executeCurl(options).trim();
if (output === "") {
return { error: "empty response" };
}
try {
return JSON.parse(output) as HttpResponse;
} catch {
const ndjson = parseNdjson(output);
if (ndjson) return ndjson;
return { error: output, rawOutput: output };
}
} catch (e) {
const err = e as Error;
return { error: err.message };
}
}
export function httpGet(url: string, headers: string[]): HttpResponse {
return httpRequest({ method: "GET", url, headers });
}
export function httpPost(
url: string,
headers: string[],
payload: string,
): HttpResponse {
return httpRequest({ method: "POST", url, headers, payload });
}
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### 3. HTTP Request Patterns
**Location**: `http.ts`, used throughout providers and models
**Problems**:
- Two different curl methods (`curlArgs` vs `curlFile`) with similar but
separate logic
- Error handling in HTTP layer vs. application layer
- No centralized request/response abstraction
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import { COMMAND } from "./constants";
import { handleCommand } from "./commands";
import { ensureRcConfigLoaded } from "./config";
function main(args: string): boolean {
ensureRcConfigLoaded();
const output = handleCommand(args, main);
if (output) {
r2.log(output);
}
return true;
}
function installPlugin(): void {
r2.unload("core", COMMAND);
r2.plugin("core", function () {
function coreCall(cmd: string): boolean {
if (cmd.startsWith(COMMAND)) {
const args = cmd.slice(COMMAND.length).trim();
return main(args);
}
return false;
}
return {
name: COMMAND,
license: "MIT",
desc: "r2 decompiler based on r2ai",
call: coreCall,
};
});
}
installPlugin();
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import { getProvider, listModels } from "./providers";
export function listModelsFor(api: string): void {
const providerConfig = getProvider(api);
if (!providerConfig) {
console.error(`Unknown provider: ${api}`);
return;
}
try {
const models = listModels(api);
if (models) {
console.log(models);
}
if (providerConfig.hardcodedModels) {
providerConfig.hardcodedModels.forEach((model) => console.log(model));
}
if (api === "mistral") {
console.log("ministral-8b-latest");
}
if (!models && !providerConfig.hardcodedModels) {
console.log(providerConfig.defaultModel);
}
} catch (e) {
const err = e as Error;
console.error(`Error listing models for ${api}:`, err.message);
console.log(providerConfig.defaultModel);
}
}
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import {
AnthropicPayload,
ApiKeyResult,
ApiStyle,
AuthStyle,
GeminiPayload,
HttpResponse,
ModelDataEntry,
OllamaModelEntry,
OllamaPayload,
ProviderConfig,
ProviderRegistry,
} from "./types";
import { state } from "./state";
import { filterResponse, joinUrl, padRight } from "./utils";
import { getApiKey } from "./apiKeys";
import { getConfiguredHeaders, mergeHeaders } from "./headers";
import { httpGet, httpPost } from "./http";
interface ProviderRuntime {
buildPayload: (model: string, query: string) => object;
parseResponse: (response: HttpResponse) => string;
buildUrl: (baseUrl: string, model: string, apiKey?: string) => string;
requiresUrlApiKey?: boolean;
}
function getApiKeyName(authKey: string): string {
return authKey.split("_")[0].toLowerCase();
}
function readProviderKey(provider: ProviderConfig): ApiKeyResult | undefined {
if (!provider.authKey) {
return undefined;
}
const keyNames = Array.from(
new Set(
[provider.keyName, getApiKeyName(provider.authKey)].filter(Boolean),
),
) as string[];
let fallback: ApiKeyResult | undefined;
for (const keyName of keyNames) {
const result = getApiKey(keyName, provider.authKey);
if (result[0]) {
return result;
}
if (!fallback && result[2] !== "nope") {
fallback = result;
}
}
return fallback ||
getApiKey(getApiKeyName(provider.authKey), provider.authKey);
}
function getErrorMessage(error: HttpResponse["error"]): string | undefined {
if (!error) {
return undefined;
}
if (typeof error === "string") {
return error;
}
return error.message || JSON.stringify(error);
}
function getProviderBaseUrl(provider: ProviderConfig): string {
return state.baseurl || provider.defaultBaseUrl;
}
function getProviderHeaders(
providerHeaders: string[],
extraHeaders: string[] = getConfiguredHeaders(),
): string[] {
return mergeHeaders(providerHeaders, extraHeaders);
}
function buildBearerHeaders(apiKey: string | null): string[] {
return apiKey ? ["Authorization: Bearer " + apiKey] : [];
}
function buildAnthropicHeaders(apiKey: string | null): string[] {
const headers = ["anthropic-version: 2023-06-01"];
return apiKey ? mergeHeaders(headers, ["x-api-key: " + apiKey]) : headers;
}
function buildAuthHeaders(
provider: ProviderConfig,
apiKey: string | null,
): string[] {
const authStyle: AuthStyle = provider.authStyle || "none";
switch (authStyle) {
case "bearer":
return buildBearerHeaders(apiKey);
case "anthropic":
return buildAnthropicHeaders(apiKey);
case "none":
default:
return [];
}
}
function listDataModels(
url: string,
headers: string[],
mapper: (model: ModelDataEntry) => string,
): string {
const response = httpGet(url, headers);
const error = getErrorMessage(response.error);
if (error) {
console.error(error);
return "error invalid response";
}
return response.data?.map(mapper).join("\n") || "";
}
function uniqueBy<T>(items: T[], getKey: (item: T) => string): T[] {
const seen = new Set<string>();
return items.filter((item) => {
const key = getKey(item);
if (seen.has(key)) {
return false;
}
seen.add(key);
return true;
});
}
function getProviderRequest(provider: ProviderConfig): {
baseUrl: string;
headers: string[];
} {
const apiKey = readProviderKey(provider)?.[0] || null;
return {
baseUrl: getProviderBaseUrl(provider),
headers: getProviderHeaders(buildAuthHeaders(provider, apiKey)),
};
}
function listV1Models(provider: ProviderConfig): string {
const { baseUrl, headers } = getProviderRequest(provider);
const url = joinUrl(baseUrl, "v1/models");
return listDataModels(url, headers, (model) => model.id);
}
function listOllamaModels(provider: ProviderConfig): string {
const { baseUrl, headers } = getProviderRequest(provider);
const response = httpGet(joinUrl(baseUrl, "api/tags"), headers);
const error = getErrorMessage(response.error);
if (error) {
console.error(error);
return "error invalid response";
}
return response.models?.map((model: OllamaModelEntry) => model.name).join(
"\n",
) || "";
}
function listMistralModels(provider: ProviderConfig): string {
const { baseUrl, headers } = getProviderRequest(provider);
const response = httpGet(joinUrl(baseUrl, "v1/models"), headers);
if (response.data) {
return uniqueBy(response.data, (model) => model.name || model.id)
.map((model) =>
[
padRight(model.name || model.id, 30),
padRight("" + (model.max_context_length || ""), 10),
model.description || "",
].join(" ")
)
.join("\n");
}
return "";
}
const providerRuntimes: Record<ApiStyle, ProviderRuntime> = {
openai: {
buildPayload: (model, query) => ({
stream: false,
model,
messages: [{ role: "user", content: query }],
}),
parseResponse: (response) => {
if (response.error) {
throw new Error(getErrorMessage(response.error) || "Unknown error");
}
if (response.choices && response.choices[0]?.message?.content) {
return filterResponse(response.choices[0].message.content);
}
throw new Error("Invalid response format");
},
buildUrl: (baseUrl) => joinUrl(baseUrl, "v1/chat/completions"),
},
anthropic: {
buildPayload: (model, query) => {
const payload: AnthropicPayload = {
model,
max_tokens: 5128,
messages: [{ role: "user", content: query }],
};
if (isThinkEnabled()) {
payload.thinking = { type: "enabled", budget_tokens: 4096 };
payload.max_tokens = 16000;
}
if (state.deterministic && !isThinkEnabled()) {
Object.assign(payload, { temperature: 0, top_p: 0, top_k: 1 });
}
return payload;
},
parseResponse: (response) => {
if (response.content && Array.isArray(response.content)) {
const parts: string[] = [];
for (const block of response.content as Array<Record<string, unknown>>) {
if (block.text) {
parts.push(block.text as string);
}
}
if (parts.length > 0) {
return filterResponse(parts.join("\n"));
}
}
if (response.error) {
throw new Error(getErrorMessage(response.error) || "Unknown error");
}
throw new Error("Invalid response format");
},
buildUrl: (baseUrl) => joinUrl(baseUrl, "v1/messages"),
},
ollama: {
buildPayload: (model, query) => {
const payload: OllamaPayload = {
stream: false,
model,
};
if (state.apitype === "generate") {
payload.prompt = query;
} else {
payload.messages = [{ role: "user", content: query }];
}
if (isThinkEnabled()) {
if (state.think === "true" || state.think === "1") {
payload.think = true;
} else {
// Pass reasoning levels like "low", "medium", "high" as-is
payload.think = state.think;
}
} else {
// Disable thinking by default — models like glm-5 enable it
// implicitly, generating thousands of reasoning tokens
payload.think = false;
}
if (state.deterministic) {
payload.options = {
repeat_last_n: 0,
top_p: 1.0,
top_k: 1.0,
temperature: 0.0,
repeat_penalty: 1.0,
seed: 123,
};
}
return payload;
},
parseResponse: (response) => {
if (response.error) {
throw new Error(getErrorMessage(response.error));
}
if (typeof response.response === "string") {
return filterResponse(response.response);
}
if (response.message?.content) {
return filterResponse(response.message.content);
}
throw new Error(JSON.stringify(response));
},
buildUrl: (baseUrl) => joinUrl(baseUrl, "api/" + state.apitype),
},
gemini: {
buildPayload: (_model, query) => {
const payload: GeminiPayload = {
contents: [{ parts: [{ text: query }] }],
};
const genConfig: Record<string, unknown> = {};
if (state.deterministic) {
Object.assign(genConfig, { temperature: 0.0, topP: 1.0, topK: 1 });
}
if (state.think !== "") {
if (isThinkDisabled()) {
genConfig.thinkingConfig = { thinkingBudget: 0 };
} else {
genConfig.thinkingConfig = { thinkingBudget: 8192 };
}
}
if (Object.keys(genConfig).length > 0) {
payload.generationConfig = genConfig;
}
return payload;
},
parseResponse: (response) => {
if (response.candidates && response.candidates[0]?.content?.parts) {
const parts = response.candidates[0].content.parts as Array<Record<string, unknown>>;
const textParts = parts
.filter((p) => !p.thought && p.text)
.map((p) => p.text as string);
if (textParts.length > 0) {
return filterResponse(textParts.join("\n"));
}
}
if (response.error) {
throw new Error(getErrorMessage(response.error));
}
console.log(JSON.stringify(response));
throw new Error("Invalid response format");
},
buildUrl: (baseUrl, model, apiKey) =>
joinUrl(
baseUrl,
`v1beta/models/${model}:generateContent?key=${apiKey}`,
),
requiresUrlApiKey: true,
},
};
export const providerRegistry: ProviderRegistry = {
anthropic: {
defaultModel: "claude-3-7-sonnet-20250219",
defaultBaseUrl: "https://api.anthropic.com",
authKey: "ANTHROPIC_API_KEY",
keyName: "anthropic",
authStyle: "anthropic",
apiStyle: "anthropic",
},
claude: {
defaultModel: "claude-3-7-sonnet-20250219",
defaultBaseUrl: "https://api.anthropic.com",
authKey: "ANTHROPIC_API_KEY",
keyName: "claude",
authStyle: "anthropic",
apiStyle: "anthropic",
},
openai: {
defaultModel: "gpt-4o-mini",
defaultBaseUrl: "https://api.openai.com",
authKey: "OPENAI_API_KEY",
authStyle: "bearer",
apiStyle: "openai",
},
ollama: {
defaultModel: "qwen2.5-coder:latest",
defaultBaseUrl: "http://localhost:11434",
authStyle: "none",
apiStyle: "ollama",
},
ollamacloud: {
defaultModel: "gpt-oss:120b",
defaultBaseUrl: "https://ollama.com",
authKey: "OLLAMA_API_KEY",
keyName: "ollamacloud",
authStyle: "bearer",
apiStyle: "ollama",
},
zen: {
defaultModel: "big-pickle",
defaultBaseUrl: "https://opencode.ai/zen",
authKey: "OPENCODE_API_KEY",
keyName: "zen",
authStyle: "bearer",
apiStyle: "openai",
hardcodedModels: ["big-pickle", "glm-5", "kimi-k2.5"],
},
gemini: {
defaultModel: "gemini-2.5-flash",
defaultBaseUrl: "https://generativelanguage.googleapis.com",
authKey: "GEMINI_API_KEY",
authStyle: "none",
apiStyle: "gemini",
hardcodedModels: [
"gemini-2.0-flash",
"gemini-2.0-flash-lite",
"gemini-2.5-pro",
"gemini-2.5-flash",
"gemini-2.5-flash-lite",
],
},
mistral: {
defaultModel: "codestral-latest",
defaultBaseUrl: "https://api.mistral.ai",
authKey: "MISTRAL_API_KEY",
authStyle: "bearer",
apiStyle: "openai",
},
xai: {
defaultModel: "grok-beta",
defaultBaseUrl: "https://api.x.ai",
authKey: "XAI_API_KEY",
authStyle: "bearer",
apiStyle: "openai",
hardcodedModels: ["grok-2", "grok-beta"],
},
lmstudio: {
defaultModel: "local-model",
defaultBaseUrl: "http://127.0.0.1:1234",
authStyle: "none",
apiStyle: "openai",
},
deepseek: {
defaultModel: "deepseek-coder",
defaultBaseUrl: "https://api.deepseek.com",
authKey: "DEEPSEEK_API_KEY",
authStyle: "bearer",
apiStyle: "openai",
hardcodedModels: ["deepseek-coder", "deepseek-chat"],
},
openrouter: {
defaultModel: "openai/gpt-4o-mini",
defaultBaseUrl: "https://openrouter.ai/api",
authKey: "OPENROUTER_API_KEY",
authStyle: "bearer",
apiStyle: "openai",
},
groq: {
defaultModel: "llama-3.3-70b-versatile",
defaultBaseUrl: "https://api.groq.com/openai",
authKey: "GROQ_API_KEY",
authStyle: "bearer",
apiStyle: "openai",
},
};
export function getProvider(api: string): ProviderConfig | undefined {
return providerRegistry[api];
}
export function listProviders(): string[] {
return Object.keys(providerRegistry);
}
export function listModels(providerName: string): string {
const provider = getProvider(providerName);
if (!provider) {
throw new Error(`Unknown provider: ${providerName}`);
}
if (providerName === "mistral") {
return listMistralModels(provider);
}
switch (provider.apiStyle) {
case "openai":
case "anthropic":
return listV1Models(provider);
case "ollama":
return listOllamaModels(provider);
case "gemini":
return "";
default:
return "";
}
}
function isThinkDisabled(): boolean {
return state.think === "false" || state.think === "0";
}
function isThinkEnabled(): boolean {
return state.think !== "" && !isThinkDisabled();
}
function buildQuery(msg: string, hideprompt: boolean, apiStyle: ApiStyle): string {
let query = msg;
// Only add prompt-based thinking hints for APIs without native think support
if (state.think !== "" && apiStyle === "openai") {
if (isThinkDisabled()) {
query +=
' Answers directly and concisely, without showing any thinking steps or internal reasoning. Never include phrases like "Let me think".';
query += " /no_think";
} else {
query =
"Think step by step and explain the reasoning process, When answering, first output your reasoning inside <think> and </think> tags, then give the final answer." +
query;
}
}
return hideprompt ? query : state.prompt + languagePrompt() + query;
}
function languagePrompt(): string {
return "\n.Translate the code into " + state.language +
" programming language\n";
}
function callRuntime(
provider: ProviderConfig,
runtime: ProviderRuntime,
msg: string,
hideprompt: boolean,
): string {
const model = state.model || provider.defaultModel;
const query = buildQuery(msg, hideprompt, provider.apiStyle);
const apiKey = readProviderKey(provider);
if (runtime.requiresUrlApiKey && apiKey?.[1] && provider.authKey) {
return `Cannot read ~/.r2ai.${getApiKeyName(provider.authKey)}-key`;
}
const payload = runtime.buildPayload(model, query);
const authHeaders = buildAuthHeaders(provider, apiKey?.[0] || null);
if (provider.apiStyle === "ollama") {
authHeaders.push("Accept: application/x-ndjson");
}
const headers = getProviderHeaders(authHeaders);
const url = runtime.buildUrl(
getProviderBaseUrl(provider),
model,
apiKey?.[0] || undefined,
);
try {
return runtime.parseResponse(
httpPost(url, headers, JSON.stringify(payload)),
);
} catch (error) {
return "ERROR: " + (error as Error).message;
}
}
export function callProvider(msg: string, hideprompt: boolean): string {
const provider = getProvider(state.api);
if (!provider) {
return `Unknown value for 'decai -e api'. Available: ${
listProviders().join(", ")
}`;
}
return callRuntime(
provider,
providerRuntimes[provider.apiStyle],
msg,
hideprompt,
);
}
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import { state } from "./state";
import { fileDump, joinUrl, tmpdir } from "./utils";
import { callProvider } from "./providers";
import { httpGet } from "./http";
export function r2ai(
queryText: string,
fileData: string | null,
hideprompt: boolean = false,
): string {
const cleanFileData = (fileData || "").replace(/`/g, "");
const cleanQuery = queryText.replace(/'/g, "");
// Handle r2ai server mode
if (state.api === "r2" || state.api === "r2ai") {
const fileName = tmpdir(".pdc.txt");
fileDump(fileName, cleanFileData);
const q = cleanQuery.startsWith("-")
? cleanQuery
: ["-i", fileName, cleanQuery].join(" ");
const baseUrl = state.baseurl || state.host + ":" + state.port;
const url = joinUrl(baseUrl, "cmd/" + encodeURIComponent(q));
const response = httpGet(url, []);
if (response.error) {
return `Error: ${response.error}`;
}
return response.result || JSON.stringify(response) ||
"Cannot curl, use r2ai-server or r2ai -w";
}
if (cleanQuery.startsWith("-")) return "";
let q = cleanQuery + ":\n" + cleanFileData;
if (state.maxInputTokens > 0 && q.length > state.maxInputTokens) {
q = q.slice(0, state.maxInputTokens);
}
return callProvider(q, hideprompt);
}
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export type R2Address = number | string | unknown;
export interface R2LogEntry {
type: string;
message: string;
}
export interface R2CommandResult {
res?: string;
value?: number;
logs?: R2LogEntry[];
[key: string]: unknown;
}
export interface R2Plugin {
name: string;
license: string;
desc: string;
call: (command: string) => boolean;
}
export type R2PluginFactory = () => R2Plugin;
export class R2PipeAdapter {
r2p: R2Pipe;
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): R2CommandResult {
const output = this.r2p.cmd(command);
return typeof output === "string" ? { res: output } : output;
}
cmdAt(
command: string,
address: R2Address,
): string {
return this.r2p.cmdAt(command, address);
}
cmdj(cmd: string): unknown {
return this.r2p.cmdj(cmd);
}
call(command: string): string {
return this.r2p.call(command);
}
callj(cmd: string): unknown {
return this.r2p.cmdj(cmd);
}
callAt(
command: string,
address: R2Address,
): string {
return this.r2p.cmdAt(command, address);
}
syscmd(command: string): string {
return this.r2p.syscmd(command);
}
syscmds(command: string): string {
return this.r2p.syscmds(command);
}
fdump(data: string): string {
return this.r2p.fdump(data);
}
log(msg: string): void {
return this.r2p.log(msg);
}
plugin(type: string, maker: R2PluginFactory): boolean {
return this.r2p.plugin(type, maker);
}
unload(type: string, name: string): boolean {
return this.r2p.unload(type, name);
}
}
export function newR2PipeSync(r2p: R2Pipe): R2PipeSync {
return new R2PipeAdapter(r2p) as R2PipeSync;
}
/**
* Generic interface to interact with radare2, abstracts the access to the associated
* instance of the tool, which could be native via rlang or remote via pipes or tcp/http.
*
* @typedef R2Pipe
*/
export interface R2Pipe {
/**
* Run a command in the associated instance of radare2 and return the output as a string
*
* @param {string} command to be executed inside radare2.
* @returns {string} The output of the command execution
*/
cmd(cmd: string): string;
/**
* Run a radare2 command in a different address. Same as `.cmd(x + '@ ' + a)`
*
* @param {string} command to be executed inside radare2.
* @param {number|string|NativePointer} command to be executed inside radare2.
* @returns {string} The output of the command execution
*/
cmd2(cmd: string): R2CommandResult;
cmdAt(cmd: string, address: R2Address): string;
/**
* Run a radare2 command expecting the output to be JSON
*
* @param {string} command to be executed inside radare2. The given command should end with `j`
* @returns {object} the JSON decoded object from the output of the command
*/
cmdj(cmd: string): unknown;
/**
* Call a radare2 command. This is similar to `R2Pipe.cmd`, but skips all the command parsing rules,
* which is safer and faster but you cannot use any special modifier like `@`, `~`, ...
*
* See R2Pipe.callAt() to call a command on a different address
*
* @param {string} command to be executed inside radare2. The given command should end with `j`
* @returns {object} the JSON decoded object from the output of the command
*/
call(cmd: string): string;
/**
* Call a radare2 command in a different address
*
* @param {string} command to be executed inside radare2. The given command should end with `j`
* @param {NativePointer|string|number} where to seek to execute this command (previous offset is restored after executing it)
* @returns {string} the string containing the output of the command
*/
callAt(cmd: string, address: R2Address): string;
syscmd(cmd: string): string;
syscmds(cmd: string): string;
fdump(data: string): string;
/**
* Same as cmdj but using .call which avoids command injection problems
*
* @param {string} command to be executed inside radare2. The given command should end with `j`
* @returns {object} the JSON decoded object from the command output
*/
callj(cmd: string): unknown;
/**
* Log a string to the associated console. This is used internally by `console.log` in some implementations.
*
* @param {string} text to be displayed
*/
log(msg: string): void;
/**
* Instantiate a new radare2 plugin with the given type and constructor method.
*
* @param {string} type of plugin ("core", "io", "arch", ...)
* @param {string} function that returns the plugin definition
* @returns {boolean} true if successful
*/
plugin(type: string, maker: R2PluginFactory): boolean;
/**
* Unload the plugin associated with a `type` and a `name`.
*
* @param {string} type of plugin ("core", "io", "arch", ...)
* @param {string} name of the plugin
* @returns {boolean} true if successful
*/
unload(type: string, name: string): boolean;
}
/**
* Generic interface to interact with radare2, abstracts the access to the associated
* instance of the tool, which could be native via rlang or remote via pipes or tcp/http.
*
* @typedef R2PipeSync
*/
export interface R2PipeSync {
/**
* Run a command in the associated instance of radare2
*
* @param {string} command to be executed inside radare2.
* @returns {string} The output of the command execution
*/
cmd(cmd: string): string;
/**
* Run a radare2 command in a different address. Same as `.cmd(x + '@ ' + a)`
*
* @param {string} command to be executed inside radare2.
* @param {number|string|NativePointer} command to be executed inside radare2.
* @returns {string} The output of the command execution
*/
cmd2(cmd: string): R2CommandResult;
cmdAt(cmd: string, address: R2Address): string;
/**
* Run a radare2 command expecting the output to be JSON
*
* @param {string} command to be executed inside radare2. The given command should end with `j`
* @returns {object} the JSON decoded object from the output of the command
*/
cmdj(cmd: string): unknown;
/**
* Call a radare2 command. This is similar to `R2Pipe.cmd`, but skips all the command parsing rules,
* which is safer and faster but you cannot use any special modifier like `@`, `~`, ...
*
* See R2Pipe.callAt() to call a command on a different address
*
* @param {string} command to be executed inside radare2. The given command should end with `j`
* @returns {object} the JSON decoded object from the output of the command
*/
call(cmd: string): string;
/**
* Call a radare2 command in a different address
*
* @param {string} command to be executed inside radare2. The given command should end with `j`
* @param {NativePointer|string|number} where to seek to execute this command (previous offset is restored after executing it)
* @returns {string} the string containing the output of the command
*/
callAt(cmd: string, address: R2Address): string;
syscmd(cmd: string): string;
syscmds(cmd: string): string;
fdump(data: string): string;
/**
* Same as cmdj but using .call which avoids command injection problems
*
* @param {string} command to be executed inside radare2. The given command should end with `j`
* @returns {object} the JSON decoded object from the command output
*/
callj(cmd: string): unknown;
/**
* Log a string to the associated console. This is used internally by `console.log` in some implementations.
*
* @param {string} text to be displayed
*/
log(msg: string): void;
/**
* Instantiate a new radare2 plugin with the given type and constructor method.
*
* @param {string} type of plugin ("core", "io", "arch", ...)
* @param {string} function that returns the plugin definition
* @returns {boolean} true if successful
*/
plugin(type: string, maker: R2PluginFactory): boolean;
/**
* Unload the plugin associated with a `type` and a `name`.
*
* @param {string} type of plugin ("core", "io", "arch", ...)
* @param {string} name of the plugin
* @returns {boolean} true if successful
*/
unload(type: string, name: string): boolean;
}
/**
* A global instance of R2Pipe associated with the current instance of radare2
*
* @type {R2PipeSync}
*/
export declare const r2: R2Pipe;
+35
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import { AppState } from "./types";
import { DEFAULT_PROMPT } from "./constants";
export const defaultState: AppState = {
decopipe: { use: false },
host: "http://localhost",
port: "11434",
baseurl: "",
extraHeaders: [],
api: "ollama",
pipeline: "",
commands: "pdc",
yolo: false,
tts: false,
language: "C",
humanLanguage: "English",
deterministic: true,
debug: false,
timeout: 180,
think: "",
apitype: "chat",
useFiles: false,
contextFile: "",
model: "",
cache: false,
maxInputTokens: -1,
prompt: DEFAULT_PROMPT,
lastOutput: "",
};
export const state: AppState = {
...defaultState,
decopipe: { ...defaultState.decopipe },
extraHeaders: [...defaultState.extraHeaders],
};
+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"
]
}
+168
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import type { R2PipeSync } from "./r2pipe";
interface ConsoleLike {
log: (...args: unknown[]) => void;
error: (...args: unknown[]) => void;
}
declare global {
const r2: R2PipeSync;
const console: ConsoleLike;
function btoa(str: string): string;
}
export type ApiStyle = "openai" | "anthropic" | "ollama" | "gemini";
export type AuthStyle = "none" | "bearer" | "anthropic";
export type OllamaApiType = "chat" | "generate";
export interface ProviderConfig {
defaultModel: string;
defaultBaseUrl: string;
authKey?: string;
authStyle?: AuthStyle;
keyName?: string;
apiStyle: ApiStyle;
hardcodedModels?: string[];
}
export interface ProviderRegistry {
[key: string]: ProviderConfig;
}
export interface DecoPipeConfig {
use: boolean;
default?: string;
[key: string]: unknown;
}
export interface AppState {
decopipe: DecoPipeConfig;
host: string;
port: string;
baseurl: string;
extraHeaders: string[];
api: string;
pipeline: string;
commands: string;
yolo: boolean;
tts: boolean;
language: string;
humanLanguage: string;
deterministic: boolean;
debug: boolean;
timeout: number;
think: string;
apitype: OllamaApiType;
useFiles: boolean;
contextFile: string;
model: string;
cache: boolean;
maxInputTokens: number;
prompt: string;
lastOutput: string;
}
export interface ConfigHandler {
get: () => string | number | boolean;
set: (v: string) => void;
}
export interface ConfigHandlers {
[key: string]: ConfigHandler;
}
export type ApiKeyResult = [string | null, string | null, string];
export interface ApiError {
message?: string;
[key: string]: unknown;
}
export interface OpenAIChoice {
message?: {
content?: string;
};
}
export interface AnthropicContentBlock {
text?: string;
}
export interface OllamaMessage {
content?: string;
}
export interface GeminiPart {
text?: string;
}
export interface GeminiCandidate {
content?: {
parts?: GeminiPart[];
};
}
export interface ModelDataEntry {
id: string;
name?: string;
max_context_length?: number;
description?: string;
}
export interface OllamaModelEntry {
name: string;
}
export interface HttpResponse {
error?: ApiError | string;
rawOutput?: string;
choices?: OpenAIChoice[];
content?: AnthropicContentBlock[];
message?: OllamaMessage;
candidates?: GeminiCandidate[];
data?: ModelDataEntry[];
models?: OllamaModelEntry[];
result?: string;
[key: string]: unknown;
}
export type JsonObject = Record<string, unknown>;
export interface AnthropicPayload {
model: string;
max_tokens: number;
messages: Array<{ role: string; content: string }>;
thinking?: { type: string; budget_tokens?: number };
temperature?: number;
top_p?: number;
top_k?: number;
}
export interface OllamaPayload {
stream: boolean;
model: string;
messages?: Array<{ role: string; content: string }>;
prompt?: string;
think?: boolean | string;
options?: {
repeat_last_n: number;
top_p: number;
top_k: number;
temperature: number;
repeat_penalty: number;
seed: number;
};
}
export interface GeminiPayload {
contents: Array<{ parts: Array<{ text: string }> }>;
generationConfig?: Record<string, unknown>;
}
export interface AutoReply {
action: string;
command?: string;
description?: string;
reason?: string;
response?: string;
}
+88
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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 ensurePath(dir: string, file: string): void {
r2.cmd("'mkdir -p " + dir);
r2.cmd("'touch " + file);
}
export function fileExists(path: string): boolean {
const helpMessage = r2.cmd2("test -h").logs?.[0]?.message ?? "";
if (helpMessage.includes("-fdx")) {
return true; // r2 is old
}
return r2.cmd("'test -vf " + path).startsWith("found");
}
export function padRight(str: string, length: number): string {
return str + " ".repeat(Math.max(0, length - str.length));
}
export function joinUrl(baseUrl: string, path: string): string {
return baseUrl.replace(/\/+$/, "") + "/" + path.replace(/^\/+/, "");
}
export function trimAnsi(str: string): string {
return str.replace(/\x1b\[[0-9;]*m/g, "");
}
export function trimDown(out: string): string {
const jsonMatch = out.match(/```json\s*([\s\S]*?)```/);
return jsonMatch && jsonMatch[1] ? jsonMatch[1].trim() : out;
}
export function trimJson(out: string): string {
let result = out;
const openBrace = result.indexOf("{");
if (openBrace !== -1) result = result.slice(openBrace);
const closeBrace = result.lastIndexOf("}");
if (closeBrace !== -1) result = result.slice(0, closeBrace + 1);
return result;
}
export function b64(str: string): string {
return btoa(str);
}
export function fileDump(fileName: string, fileData: string): void {
const d = b64(fileData);
r2.cmd("p6ds " + d + " > " + fileName);
}
export function filterResponse(msg: string): string {
let result = msg;
result = result.replace(/<think>[\s\S]*?<\/think>/gi, "");
return result
.split("\n")
.filter((line) => !line.trim().startsWith("```"))
.join("\n");
}
export function debugLog(msg: string): void {
if (state.debug) {
console.log(msg);
}
}
export function parseEnvLikeString(input: string): Record<string, string> {
const result: Record<string, string> = {};
for (const line of input.split(/\r?\n/)) {
const trimmed = line.trim();
if (!trimmed || trimmed.startsWith("#")) {
continue;
}
const [key, ...rest] = trimmed.split("=");
if (!key || rest.length === 0) {
continue;
}
const value = rest.join("=").trim();
// Normalize key: strip trailing _API_KEY (case-insensitive)
const normKey = key.toLowerCase().replace(/_api_key$/i, "");
result[normKey] = value;
}
return result;
}
+130
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-41
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@@ -1,41 +0,0 @@
SHELL=/bin/bash
PROVIDER=ollama
MODELS=granite3-dense:8b mannix/jan-nano:latest yi-coder:latest qwen3:latest deepseek-coder-v2:latest hhao/qwen2.5-coder-tools:latest qwen2.5-coder:latest
MODELS=gemma3:1b
LANGS=Dart Perl Ruby Javascript PHP C
BINARIES=files/complex1 files/complex2 files/complex3
MODELS=gpt-4o
PROVIDER=openai
all:
mkdir -p tmp
for b in $(BINARIES) ; do \
for a in $(MODELS) ; do \
echo "$$b $$a"; \
./run.sh $$b $$a ${PROVIDER} ${LANGS} > tmp/$${b##*/}_$${a//\//_}.html ; \
done ; \
done
.PHONY: run index evaluate
compile: $(BINARIES)
files/complex1: files/complex1.c
gcc -o $@ $<
files/complex2: files/complex2.c
gcc -o $@ $<
files/complex3: files/complex3.c
gcc -o $@ $<
lmstudio:
for b in $(BINARIES) ; do \
for a in $(MODELS) ; do \
./run.sh $$b $$a lmstudio ${LANGS} > $${b##*/}_$${a//\//_}.html ; \
done ; \
done
clean:
rm -rf tmp
-59
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@@ -1,59 +0,0 @@
#!/bin/bash
# Evaluate decompiled outputs using mai and determine best model+lang
echo "Evaluating decompiled outputs..."
tmpfile=$(mktemp)
MAI="mai -q -p openai -m gpt-4o"
# MAI="mai -q"
for orig in files/complex1.c files/complex2.c files/complex3.c; do
base=$(basename $orig .c)
original_code=$(cat $orig)
for f in tmp/${base}_*.txt; do
if [ -f "$f" ]; then
decompiled_code=$(cat $f)
#echo "Comparing $orig $f"
result=`echo n | ${MAI} -q -r "/template files/CMPROMPT.txt original=@${orig} decompiled=@${f}"`
score=`echo "$result" | head -n 1 | grep -oE '[0-9]+'` # |head -n 1`
perfect=`echo "$result" | grep 'No sign' && echo yes`
[ -z "$score" ] && score=0
if [ "$perfect" = yes ]; then
score=100
else
score="$((0+${score}))"
fi
echo "$score\t$f"
if [ -n "$score" ]; then
key="${f%.*}" # remove .txt
# Check if key exists in tmpfile
existing=$(grep "^$key " $tmpfile | awk '{print $2}')
if [ -n "$existing" ]; then
new_score=$(( existing + score ))
sed -i "s/^$key .*/$key $new_score/" $tmpfile
else
echo "$key $score" >> $tmpfile
fi
fi
fi
done
done
# Find the best (highest total score)
best_key=""
best_score=0
while read key score; do
if [ "$score" -gt "$best_score" ]; then
best_score=$score
best_key=$key
fi
done < $tmpfile
rm $tmpfile
if [ -n "$best_key" ]; then
echo "Best model+language combination: $best_key with total score $best_score"
else
echo "No scores found"
fi
-17
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@@ -1,17 +0,0 @@
Compare the two provided code in C with the decompiled counterpart. Ignore function or variable names, syntax differences, language-specific constructs, and formatting. Focus solely on what the code does: the operations performed, control flow, logic, and functional behavior. Determine if they are functionally equivalent in terms of their effects and computations.
Output only:
- A numeric score from 1 to 100 (100 being identical logic and functionality)
- Followed by a single sentence describing the most relevant semantic differences (or "No significant semantic differences" if score is 95+)
**Original Source Code:**
```C
{original}
```
**Decompiled Code:**
```
{decompiled}
```
-21
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@@ -1,21 +0,0 @@
#include <stdio.h>
#include <stdlib.h>
int main() {
int n = 5;
int *arr = (int *)malloc(n * sizeof(int));
if (arr == NULL) return 1;
for (int i = 0; i < n; i++) {
arr[i] = i * i;
}
int sum = 0;
for (int i = 0; i < n; i++) {
sum += arr[i];
for (int j = 0; j < i; j++) {
sum -= j;
}
}
printf("Sum: %d\n", sum);
free(arr);
return 0;
}
-39
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@@ -1,39 +0,0 @@
#include <stdio.h>
#include <stdlib.h>
struct Node {
int data;
struct Node *next;
};
int main() {
struct Node *head = NULL;
struct Node *tail = NULL;
for (int i = 0; i < 10; i++) {
struct Node *newNode = (struct Node *)malloc(sizeof(struct Node));
if (newNode == NULL) return 1;
newNode->data = i * 2;
newNode->next = NULL;
if (head == NULL) {
head = newNode;
tail = newNode;
} else {
tail->next = newNode;
tail = newNode;
}
}
struct Node *current = head;
int sum = 0;
while (current != NULL) {
sum += current->data;
current = current->next;
}
printf("Sum: %d\n", sum);
current = head;
while (current != NULL) {
struct Node *temp = current;
current = current->next;
free(temp);
}
return 0;
}
-33
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@@ -1,33 +0,0 @@
#include <stdio.h>
int main() {
int x = 42;
int y = 0;
switch (x & 15) {
case 0:
y = x << 1;
break;
case 1:
y = x >> 1;
break;
case 2:
y = x ^ 255;
break;
case 3:
y = ~x;
break;
default:
y = x | 128;
break;
}
if ((y & 1) == 0) {
y += 10;
} else {
y -= 5;
}
for (int i = 0; i < 5; i++) {
y = (y << 2) | (y >> 30);
}
printf("Result: %d\n", y);
return 0;
}
+57
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@@ -0,0 +1,57 @@
# R2AI Prompts
This directory contains predefined prompt files for the r2ai plugin.
## Format
Each prompt is stored in a `.r2ai.md` file with YAML-style frontmatter and a markdown body.
Example:
```markdown
---
description: 'Explain the current function'
author: pancake
command: r2ai -d
if-empty: exit
---
Explain the purpose of this function in one or two short sentences.
```
Supported keys:
- `title`: The title of the prompt
- `author`: The author of the prompt
- `description`: A brief description
- `command`: Commands to execute before sending the prompt, separated by `;` (required)
- `requires`: Requirements for the prompt (e.g., "analysis" to ensure binary analysis)
- `if-empty`: Alternative prompt or message if the command output is empty
- `if-command`: Additional commands to run if the main command produces output
- `model`: Model override for this prompt
- `provider`: Provider override for this prompt
Legacy `.r2ai.txt` files using `Title:`, `Command:`, `Prompt:` or `Query:` are still accepted.
## Variable Substitution
In the markdown body, you can use:
- `${VAR}`: Replaced with the value of the environment variable `VAR`
- `$(cmd)`: Replaced with the output of the r2 command `cmd`
## Usage
- `r2ai -q`: List all available prompts
- `r2ai -qj`: List all available prompts in JSON
- `r2ai -q name`: Run the prompt named `name`
- `r2ai -q name extra text`: Run the prompt with additional text appended
## Conditionals
- `if-empty`: If the command output is empty, use this as the prompt instead
- `if-command`: If the command produces output, run these additional commands and append their output
## Future Features
- Support for r2js scripts
- More advanced conditionals
+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:
+8
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@@ -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
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@@ -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.
+8
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@@ -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
+8
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@@ -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
+8
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@@ -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)
+8
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@@ -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
+8
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@@ -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
+10
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@@ -0,0 +1,10 @@
---
description: 'Decompile this code into PHP'
version: 0.1
author: pancake
command: pdg
if-empty: exit
---
Your goal is to $(-e r2ai.prompt).
Translate the code into $(-e r2ai.lang) programming language.
+8
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@@ -0,0 +1,8 @@
---
description: 'Better variable names'
version: 0.1
author: pancake
command: afv
if-empty: exit
---
Output only the radare2 command without markdown, guess a better name and type for each local variable and function argument taking using. output an r2 script using afvn and afvt commands
+8
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@@ -0,0 +1,8 @@
---
description: 'Find vulnerabilities or bugs in the current function'
version: 0.1
author: pancake
command: pdc
if-empty: exit
---
Find vulnerabilities, do not show the code, only a short summary of the resulting analysis report including suggested good practices to address the problem and a practical exploit example.
+18
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@@ -0,0 +1,18 @@
# r2plugin
This directory contains the make and meson files required to link r2ai
inside radare2 through the external plugin system (XPS).
```console
cd radare2
make -C libr/xps EXTERNAL_PLUGINS=r2ai
./configure-plugins
make
```
For meson builds, place this repository at `libr/xps/p/r2ai` and make
`libr/xps/p/meson.build` include:
```meson
subdir('r2ai/r2plugin')
```
+9
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@@ -0,0 +1,9 @@
EXTERNAL_PLUGINS+=r2ai
# EXTERNAL_PLUGINS+=hi
.PHONY: r2ai
r2ai: p/r2ai
p/r2ai:
cd p && git clone https://github.com/radareorg/r2ai
+3
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@@ -0,0 +1,3 @@
#ifdef R2_CORE_H
extern RCorePlugin r_core_plugin_r2ai;
#endif
+23
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@@ -0,0 +1,23 @@
R2AI_CORE_WD=$(LIBR)/xps/p/r2ai
CFLAGS+=-I$(R2AI_CORE_WD)/src
R2AI_CORE_OBJ= \
$(R2AI_CORE_WD)/src/anthropic.o \
$(R2AI_CORE_WD)/src/apikeys.o \
$(R2AI_CORE_WD)/src/async.o \
$(R2AI_CORE_WD)/src/auto.o \
$(R2AI_CORE_WD)/src/claw.o \
$(R2AI_CORE_WD)/src/gemini.o \
$(R2AI_CORE_WD)/src/http.o \
$(R2AI_CORE_WD)/src/json.o \
$(R2AI_CORE_WD)/src/llm.o \
$(R2AI_CORE_WD)/src/markdown.o \
$(R2AI_CORE_WD)/src/messages.o \
$(R2AI_CORE_WD)/src/openai.o \
$(R2AI_CORE_WD)/src/query.o \
$(R2AI_CORE_WD)/src/r2ai.o \
$(R2AI_CORE_WD)/src/rawtools.o \
$(R2AI_CORE_WD)/src/tools.o \
$(R2AI_CORE_WD)/src/vdb.o \
$(R2AI_CORE_WD)/src/vertex.o \
$(R2AI_CORE_WD)/src/wizard.o
EXTERNAL_STATIC_OBJS+=$(R2AI_CORE_OBJ)
+27
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@@ -0,0 +1,27 @@
shared_library(
'core_r2ai',
'../src/anthropic.c',
'../src/apikeys.c',
'../src/async.c',
'../src/auto.c',
'../src/claw.c',
'../src/gemini.c',
'../src/http.c',
'../src/json.c',
'../src/llm.c',
'../src/markdown.c',
'../src/messages.c',
'../src/openai.c',
'../src/query.c',
'../src/r2ai.c',
'../src/rawtools.c',
'../src/tools.c',
'../src/vdb.c',
'../src/vertex.c',
'../src/wizard.c',
include_directories: ['../src', include_dirs],
dependencies: r2_core,
override_options: ['werror=false'],
install: true,
install_dir: r2_plugdir,
)
+1
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@@ -0,0 +1 @@
include p/r2ai/r2plugin/core/deps.mk
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