174 Commits

Author SHA1 Message Date
Dark-Alex-17 e69352ee2d fmt: reapplied formatting for the sse_transport module 2026-05-07 13:47:30 -06:00
Dark-Alex-17 ee4e3bc13f fix: bug found by copilot that would create a lock on the PollSender for sse-based MCP servers 2026-05-07 13:45:19 -06:00
Dark-Alex-17 a576961bd6 test: removed forgotten mem::forget from supervisor tests 2026-05-07 13:03:44 -06:00
Dark-Alex-17 59c7fc1276 style: Addressed style comments left by copilot reviewer 2026-05-07 13:01:26 -06:00
Dark-Alex-17 bcf512fcfc test: Fixed forgotten Windows-specific tests for functions 2026-05-07 12:20:30 -06:00
Dark-Alex-17 195401c496 style: Added import for Arc in macros 2026-05-07 11:45:26 -06:00
Dark-Alex-17 34d8d20ec6 chore: updated models.yaml 2026-05-07 08:35:52 -06:00
Dark-Alex-17 08ba6f0446 docs: Fixed typo in README agent example path 2026-05-06 08:04:54 -06:00
Dark-Alex-17 26984892af docs: Deprecated in-repo docs and migrated them to a Wiki 2026-05-05 15:03:18 -06:00
Dark-Alex-17 526a426073 docs: removed now unnecessary implementation wiki for configuration migration 2026-05-01 14:46:03 -06:00
Dark-Alex-17 c53e0546d4 test: added integration tests for inter-feature interactions like RAG + Agents, function calling/MCP servers, etc. 2026-05-01 14:06:41 -06:00
Dark-Alex-17 349b3748bd test: Added unit tests for the rag, completions and prompt, macros, vault, and functions/tool usage 2026-05-01 13:24:58 -06:00
Dark-Alex-17 e23e5f9f7b test: Added integration tests for the sub-agent spawning system and inter-agent communication mechanisms 2026-05-01 12:53:26 -06:00
Dark-Alex-17 8d02782de6 test: unit tests for the sub agent spawning system 2026-05-01 12:20:00 -06:00
Dark-Alex-17 27ceefdb40 test: REPL command tests and CLI flag tests 2026-05-01 11:57:17 -06:00
Dark-Alex-17 5168eb6781 test: request_context tests 2026-05-01 11:12:30 -06:00
Dark-Alex-17 ddb73a9a33 test: added tests for input 2026-05-01 11:06:35 -06:00
Dark-Alex-17 53eff10d75 test: implemented tests for tool call dispatch and tracking 2026-05-01 10:52:56 -06:00
Dark-Alex-17 1df6114ff3 test: Implemented tests for the MCP server lifecycle 2026-05-01 10:27:49 -06:00
Dark-Alex-17 975484cc2b fix: Accidental shadow of temp_file function for Windows function calling 2026-04-28 08:53:57 -06:00
Dark-Alex-17 0421c9b643 style: Addressed style issues 2026-04-28 08:08:23 -06:00
Dark-Alex-17 fb69c21252 build: updated crossterm version for MacOS 2026-04-23 08:49:26 -06:00
Dark-Alex-17 0cb9122d16 feat: legacy SSE support for MCP server configurations 2026-04-20 14:10:26 -06:00
Dark-Alex-17 c164ad3cbb fix: upgraded to newer rmcp version to get native-tls support 2026-04-20 13:50:34 -06:00
Dark-Alex-17 9b4171a468 feat: support http/sse transport types for MCP server configurations so it fully supports claude desktop-style MCP configs 2026-04-20 13:08:20 -06:00
Dark-Alex-17 5cae4e44fb Merge remote-tracking branch 'gitea/restful-api' into restful-api
# Conflicts:
#	docs/PHASE-1-IMPLEMENTATION-PLAN.md
#	src/cli/completer.rs
#	src/client/common.rs
#	src/config/agent.rs
#	src/config/input.rs
#	src/config/macros.rs
#	src/config/mod.rs
#	src/config/session.rs
#	src/function/mod.rs
#	src/function/supervisor.rs
#	src/function/todo.rs
#	src/function/user_interaction.rs
#	src/main.rs
#	src/mcp/mod.rs
#	src/rag/mod.rs
#	src/repl/mod.rs
2026-04-20 09:02:30 -06:00
Dark-Alex-17 a145a42b2b refactor: fully complete state re-architecting 2026-04-19 19:21:24 -06:00
Dark-Alex-17 715807645a refactor: Fully ripped out the god Config struct 2026-04-19 19:14:25 -06:00
Dark-Alex-17 1259c6865f refactor: Deprecated old Config struct initialization logic 2026-04-19 18:27:33 -06:00
Dark-Alex-17 ff42460cb4 refactor: migrate functions and MCP servers to AppConfig 2026-04-19 18:14:16 -06:00
Dark-Alex-17 39a16f8d56 refactor: Migrate the vault/bare_init logic 2026-04-19 18:00:14 -06:00
Dark-Alex-17 83de60f59c refactor: created a single install_builtins free function to remove from Config::init 2026-04-19 17:54:50 -06:00
Dark-Alex-17 cf60e090a5 refactor: partial migration to init in AppConfig 2026-04-19 17:46:20 -06:00
Dark-Alex-17 0fb37c33ab fix: RagCache was not being used for agent and sub-agent instantiation 2026-04-19 17:39:49 -06:00
Dark-Alex-17 d81508c22a feat: 99% complete migration to new state structs to get away from God-Config struct; i.e. AppConfig, AppState, and RequestContext 2026-04-19 17:05:27 -06:00
Dark-Alex-17 883ac659b2 testing 2026-04-16 10:17:03 -06:00
Dark-Alex-17 c6c10b5e24 Merge branch 'tree-sitter-tools' into 'develop' 2026-04-09 14:48:22 -06:00
Dark-Alex-17 a4e5bef1b7 feat: Automatic runtime customization using shebangs 2026-04-09 14:16:02 -06:00
Dark-Alex-17 f72c7b03f9 test: Updated client stream tests to use the thread_rng from rand 2026-04-09 13:53:52 -06:00
Dark-Alex-17 bd6f709374 build: Pulled additional features for rand dependency 2026-04-09 13:45:08 -06:00
Dark-Alex-17 00f2201157 fix: TypeScript function args were being passed as objects rather than direct parameters 2026-04-09 13:32:16 -06:00
Dark-Alex-17 b3f0d66071 build: upgraded dependencies to latest 2026-04-09 13:28:19 -06:00
Dark-Alex-17 8730d413bc docs: Updated docs to talk about the new TypeScript-based tool support 2026-04-09 13:19:15 -06:00
Dark-Alex-17 79140fda3c feat: Created a demo TypeScript tool and a get_current_weather function in TypeScript 2026-04-09 13:18:41 -06:00
Dark-Alex-17 67e749ea3a feat: Updated the Python demo tool to show all possible parameter types and variations 2026-04-09 13:18:18 -06:00
Dark-Alex-17 7bcfc133ae fix: Added in forgotten wrapper scripts for TypeScript tools 2026-04-09 13:17:53 -06:00
Dark-Alex-17 e3e246607e feat: Added TypeScript tool support using the refactored common ScriptedLanguage trait 2026-04-09 13:17:28 -06:00
Dark-Alex-17 16104cb2c5 refactor: Extracted common Python parser logic into a common.rs module 2026-04-09 13:16:35 -06:00
Dark-Alex-17 224e51c386 refactor: python tools now use tree-sitter queries instead of AST 2026-04-09 10:20:49 -06:00
Dark-Alex-17 b022ca089c fix: don't shadow variables in binary path handling for Windows 2026-04-09 07:53:18 -06:00
Dark-Alex-17 0ebb761c09 build: Upgraded crossterm and reedline dependencies 2026-04-08 14:54:53 -06:00
Dark-Alex-17 c8067828d5 fix: Tool call improvements for Windows systems 2026-04-08 12:49:43 -06:00
github-actions[bot] 30eedd9b8c chore: bump Cargo.toml to 0.3.0 2026-04-02 20:17:47 +00:00
github-actions[bot] d701b45057 bump: version 0.2.0 → 0.3.0 [skip ci] 2026-04-02 20:17:45 +00:00
Dark-Alex-17 722c9c101e feat: Added todo__clear function to the todo system and updated REPL commands to have a .clear todo as well for significant changes in agent direction 2026-04-02 13:13:44 -06:00
Dark-Alex-17 86aa45f0c4 fix: Clarified user text input interaction 2026-03-30 16:27:22 -06:00
Dark-Alex-17 cf45dc4820 fix: recursion bug with similarly named Bash search functions in the explore agent 2026-03-30 13:32:13 -06:00
Dark-Alex-17 db77034431 feat: Added available tools to prompts for sisyphus and code-reviewer agent families 2026-03-30 13:13:30 -06:00
Dark-Alex-17 abdaec11b0 feat: Added available tools to coder prompt 2026-03-30 11:11:43 -06:00
Dark-Alex-17 95fb349656 Merge branch 'main' of github.com:Dark-Alex-17/loki 2026-03-30 10:15:51 -06:00
Dark-Alex-17 d0b6b6c324 fix: updated the error for unauthenticated oauth to include the REPL .authenticated command 2026-03-28 11:57:01 -06:00
Dark-Alex-17 d74c23ccf5 feat: Improved token efficiency when delegating from sisyphus -> coder 2026-03-18 15:07:29 -06:00
Dark-Alex-17 ea1cfda0d6 build: Removed deprecated agent functions from the .shared/utils.sh script 2026-03-18 15:04:14 -06:00
Dark-Alex-17 5623f47f9a fix: Corrected a bug in the coder agent that wasn't outputting a summary of the changes made, so the parent Sisyphus agent has no idea if the agent worked or not 2026-03-17 14:57:07 -06:00
Dark-Alex-17 e4df9ec193 feat: modified sisyphus agents to use the new ddg-search MCP server for web searches instead of built-in model searches 2026-03-17 14:55:33 -06:00
Dark-Alex-17 a6306d6b76 fix: Claude code system prompt injected into claude requests to make them valid once again 2026-03-17 10:44:50 -06:00
Dark-Alex-17 64529ba5cc fix: Do not inject tools when models don't support them; detect this conflict before API calls happen 2026-03-17 09:35:51 -06:00
Dark-Alex-17 cc7f963b89 style: Applied formatting across new inquire files 2026-03-16 12:39:20 -06:00
Dark-Alex-17 0ce86af116 feat: Added support for specifying a custom response to multiple-choice prompts when nothing suits the user's needs 2026-03-16 12:37:47 -06:00
Dark-Alex-17 2cb0ed3f64 feat: Supported theming in the inquire prompts in the REPL 2026-03-16 12:36:20 -06:00
Dark-Alex-17 fb61854f11 build: upgraded to the most recent version of the inquire crate 2026-03-16 12:31:28 -06:00
Dark-Alex-17 53ba3344b1 docs: Fixed a spacing issue in the example agent configuration 2026-03-13 14:19:39 -06:00
Dark-Alex-17 e20c8be8bb docs: Added the file-reviewer agent to the AGENTS docs 2026-03-13 14:07:13 -06:00
Dark-Alex-17 894dcb1d3c docs: Updated the MCP-SERVERS docs to mention the ddg-search MCP server 2026-03-13 13:32:58 -06:00
Dark-Alex-17 9a9e890f8a feat: Added the duckduckgo-search MCP server for searching the web (in addition to the built-in tools for web searches) 2026-03-13 13:29:56 -06:00
Dark-Alex-17 818ea634f0 Merge branch 'main' of github.com:Dark-Alex-17/loki 2026-03-12 15:17:54 -06:00
Dark-Alex-17 780460f8d8 fix: Implemented the path normalization fix for the oracle and explore agents 2026-03-12 13:38:15 -06:00
Dark-Alex-17 e19483a920 chore: Added GPT-5.2 to models.yaml 2026-03-12 13:30:23 -06:00
Dark-Alex-17 aca93f1cae docs: Updated the docs to now explicitly mention Gemini OAuth support 2026-03-12 13:30:10 -06:00
Dark-Alex-17 1371a4aad2 feat: Support for Gemini OAuth 2026-03-12 13:29:47 -06:00
Dark-Alex-17 db4a45c0f6 refactor: Made the oauth module more generic so it can support loopback OAuth (not just manual) 2026-03-12 13:28:09 -06:00
Dark-Alex-17 e95b1e5f82 fix: Updated the atlassian MCP server endpoint to account for future deprecation 2026-03-12 12:49:26 -06:00
Dark-Alex-17 15f4008f4b fix: Fixed a bug in the coder agent that was causing the agent to create absolute paths from the current directory 2026-03-12 12:39:49 -06:00
Dark-Alex-17 f45f81fb45 fix: The REPL .authenticate command works from within sessions, agents, and roles with pre-configured models 2026-03-12 09:08:17 -06:00
Dark-Alex-17 2220fd2542 feat: Support authenticating or refreshing OAuth for supported clients from within the REPL 2026-03-11 13:07:27 -06:00
Dark-Alex-17 564480e165 fix: the updated regex for secrets injection broke MCP server secrets interpolation because the regex greedily matched on new lines, replacing too much content. This fix just ignores commented out lines in YAML files by skipping commented out lines. 2026-03-11 12:55:28 -06:00
Dark-Alex-17 297c63d91a feat: Allow first-runs to select OAuth for supported providers 2026-03-11 12:01:17 -06:00
Dark-Alex-17 26e2cd3f65 fix: Don't try to inject secrets into commented-out lines in the config 2026-03-11 11:11:09 -06:00
Dark-Alex-17 9f899466d4 feat: Support OAuth authentication flows for Claude 2026-03-11 11:10:48 -06:00
Dark-Alex-17 38393ea4cf chore: Added support for Claude 4.6 gen models 2026-03-10 14:55:30 -06:00
Dark-Alex-17 a4f25826e3 fix: Removed top_p parameter from some agents so they can work across model providers 2026-03-10 10:18:38 -06:00
Dark-Alex-17 93484fb33f Merge branch 'main' of github.com:Dark-Alex-17/loki 2026-03-09 14:58:23 -06:00
Dark-Alex-17 c90f003f92 chore: Added the new gemini-3.1-pro-preview model to gemini and vertex models 2026-03-09 14:57:39 -06:00
Dark-Alex-17 24793b9b8d docs: created an authorship policy and PR template that requires disclosure of AI assistance in contributions 2026-02-24 17:46:07 -07:00
Dark-Alex-17 78e772f455 style: Applied formatting to MCP module 2026-02-20 15:28:21 -07:00
Dark-Alex-17 1e0d269aad docs: Updated sisyphus README to always include the execute_command.sh tool 2026-02-20 15:06:57 -07:00
Dark-Alex-17 f6b1d408fc docs: Updated the sisyphus system docs to have a pro-tip of configuring an IDE MCP server to improve performance 2026-02-20 15:01:08 -07:00
Dark-Alex-17 442b318b6c docs: Created README docs for the CodeRabbit-style Code reviewer agents 2026-02-20 15:00:32 -07:00
Dark-Alex-17 a7c97aedb7 feat: Improved MCP server spinup and spindown when switching contexts or settings in the REPL: Modify existing config rather than stopping all servers always and re-initializing if unnecessary 2026-02-20 14:36:34 -07:00
Dark-Alex-17 746f9e7b24 fix: Improved sub-agent stdout and stderr output for users to follow 2026-02-20 13:47:28 -07:00
Dark-Alex-17 0d6c61af5c Update models.yaml with latest OpenRouter data 2026-02-20 12:08:00 -07:00
Dark-Alex-17 673f31c059 Add script to update models.yaml from OpenRouter 2026-02-20 12:07:59 -07:00
Dark-Alex-17 369a4f0a89 fix: Inject agent variables into environment variables for global tool calls when invoked from agents to modify global tool behavior 2026-02-20 11:38:24 -07:00
Dark-Alex-17 8d54eae4d0 feat: Allow the explore agent to run search queries for understanding docs or API specs 2026-02-19 14:29:02 -07:00
Dark-Alex-17 a805d5beab feat: Allow the oracle to perform web searches for deeper research 2026-02-19 14:26:07 -07:00
Dark-Alex-17 dbb2aec8b6 fix: Removed the unnecessary execute_commands tool from the oracle agent 2026-02-19 14:18:16 -07:00
Dark-Alex-17 1a98b76a1f fix: Added auto_confirm to the coder agent so sub-agent spawning doesn't freeze 2026-02-19 14:15:42 -07:00
Dark-Alex-17 51d10ab2b5 feat: Added web search support to the main sisyphus agent to answer user queries 2026-02-19 12:29:07 -07:00
Dark-Alex-17 1aad750395 refactor: Changed the default session name for Sisyphus to temp (to require users to explicitly name sessions they wish to save) 2026-02-19 10:26:52 -07:00
Dark-Alex-17 e0aab6bd02 fix: Fixed a bug in the new supervisor and todo built-ins that was causing errors with OpenAI models 2026-02-18 14:52:57 -07:00
Dark-Alex-17 6cb93132b7 fix: Added condition to sisyphus to always output a summary to clearly indicate completion 2026-02-18 13:57:51 -07:00
Dark-Alex-17 04126b99d6 fix: Updated the sisyphus prompt to explicitly tell it to delegate to the coder agent when it wants to write any code at all except for trivial changes 2026-02-18 13:51:43 -07:00
Dark-Alex-17 0794eb960d fix: Added back in the auto_confirm variable into sisyphus 2026-02-18 13:42:39 -07:00
Dark-Alex-17 d619ad1d48 fix: Removed the now unnecessary is_stale_response that was breaking auto-continuing with parallel agents 2026-02-18 13:36:25 -07:00
Dark-Alex-17 5b147e07b3 style: Applied formatting to the function module 2026-02-18 13:20:18 -07:00
Dark-Alex-17 944ce441d8 build: Upgraded to the most recent version of rmcp 2026-02-18 12:28:52 -07:00
Dark-Alex-17 a7dcb8519b refactor: Updated the sisyphus agent to use the built-in user interaction tools instead of custom bash-based tools 2026-02-18 12:17:35 -07:00
Dark-Alex-17 d912d44fb3 feat: Created a CodeRabbit-style code-reviewer agent 2026-02-18 12:16:59 -07:00
Dark-Alex-17 4f7254a634 docs: Updated the docs to include details on the new agent spawning system and built-in user interaction tools 2026-02-18 12:16:29 -07:00
Dark-Alex-17 bf923cb296 fix: Bypassed enabled_tools for user interaction tools so if function calling is enabled at all, the LLM has access to the user interaction tools when in REPL mode 2026-02-18 11:25:25 -07:00
Dark-Alex-17 d9f737e1bf feat: Added configuration option in agents to indicate the timeout for user input before proceeding (defaults to 5 minutes) 2026-02-18 11:24:47 -07:00
Dark-Alex-17 59690d045e feat: Added support for sub-agents to escalate user interaction requests from any depth to the parent agents for user interactions 2026-02-18 11:06:15 -07:00
Dark-Alex-17 5d95acba53 feat: built-in user interaction tools to remove the need for the list/confirm/etc prompts in prompt tools and to enhance user interactions in Loki 2026-02-18 11:05:43 -07:00
Dark-Alex-17 d46225d2a9 fix: When parallel agents run, only write to stdout from the parent and only display the parent's throbber 2026-02-18 09:59:24 -07:00
Dark-Alex-17 3af30a0e62 refactor: Cleaned up some left-over implementation stubs 2026-02-18 09:13:39 -07:00
Dark-Alex-17 69eca4d96d fix: Forgot to implement support for failing a task and keep all dependents blocked 2026-02-18 09:13:11 -07:00
Dark-Alex-17 7b2e4a83c9 fix: Clean up orphaned sub-agents when the parent agent 2026-02-18 09:12:32 -07:00
Dark-Alex-17 344b80872a fix: Fixed the bash prompt utils so that they correctly show output when being run by a tool invocation 2026-02-17 17:19:42 -07:00
Dark-Alex-17 ddf828ff5f feat: Experimental update to sisyphus to use the new parallel agent spawning system 2026-02-17 16:33:08 -07:00
Dark-Alex-17 4e170b069b fix: Forgot to automatically add the bidirectional communication back up to parent agents from sub-agents (i.e. need to be able to check inbox and send messages) 2026-02-17 16:11:35 -07:00
Dark-Alex-17 22c75fb578 feat: Added an agent configuration property that allows auto-injecting sub-agent spawning instructions (when using the built-in sub-agent spawning system) 2026-02-17 15:49:40 -07:00
Dark-Alex-17 11ab9eb6b8 feat: Auto-dispatch support of sub-agents and support for the teammate pattern between subagents 2026-02-17 15:18:27 -07:00
Dark-Alex-17 29b232f407 docs: Initial documentation cleanup of parallel agent MVP 2026-02-17 14:30:28 -07:00
Dark-Alex-17 53e8c920e5 fix: Agent delegation tools were not being passed into the {{__tools__}} placeholder so agents weren't delegating to subagents 2026-02-17 14:19:22 -07:00
Dark-Alex-17 78d19bed4d feat: Full passive task queue integration for parallelization of subagents 2026-02-17 13:42:53 -07:00
Dark-Alex-17 10f4160635 feat: Implemented initial scaffolding for built-in sub-agent spawning tool call operations 2026-02-17 11:48:31 -07:00
Dark-Alex-17 7622836e8b feat: Initial models for agent parallelization 2026-02-17 11:27:55 -07:00
Dark-Alex-17 4d4713a9fa docs: Fixed typos in the Sisyphus documentation 2026-02-16 14:05:51 -07:00
Dark-Alex-17 25008599f9 feat: Added interactive prompting between the LLM and the user in Sisyphus using the built-in Bash utils scripts 2026-02-16 13:57:04 -07:00
github-actions[bot] c00ab074f8 chore: bump Cargo.toml to 0.2.0 2026-02-14 01:41:41 +00:00
github-actions[bot] aed1f1957f bump: version 0.1.3 → 0.2.0 [skip ci] 2026-02-14 01:41:29 +00:00
Dark-Alex-17 c6a959e2e1 feat: Simplified sisyphus prompt to improve functionality 2026-02-13 18:36:10 -07:00
Dark-Alex-17 02b7ed37f6 feat: Supported the injection of RAG sources into the prompt, not just via the .sources rag command in the REPL so models can directly reference the documents that supported their responses 2026-02-13 17:45:56 -07:00
Dark-Alex-17 0d84aaabb9 docs: updated the tools documentation to mention the new fs_read, fs_grep, and fs_glob tools 2026-02-13 16:53:00 -07:00
Dark-Alex-17 6efdcf9610 docs: updated the default configuration example to have the new fs_read, fs_glob, fs_grep global functions 2026-02-13 16:23:49 -07:00
Dark-Alex-17 4266d317d8 docs: Updated the docs to mention the new agents 2026-02-13 15:42:28 -07:00
Dark-Alex-17 4ce7aafcbd feat: Created the Sisyphus agent to make Loki function like Claude Code, Gemini, Codex, etc. 2026-02-13 15:42:10 -07:00
Dark-Alex-17 35d8b69f92 feat: Created the Oracle agent to handle high-level architectural decisions and design questions about a given codebase 2026-02-13 15:41:44 -07:00
Dark-Alex-17 562057e608 feat: Updated the coder agent to be much more task-focused and to be delegated to by Sisyphus 2026-02-13 15:41:11 -07:00
Dark-Alex-17 b7024e5340 feat: Created the explore agent for exploring codebases to help answer questions 2026-02-13 15:40:46 -07:00
Dark-Alex-17 088588231b docs: Updated todo-system docs 2026-02-13 15:13:37 -07:00
Dark-Alex-17 eff117d3d9 feat: Use the official atlassian MCP server for the jira-helper agent 2026-02-13 14:56:42 -07:00
Dark-Alex-17 968c535709 feat: Created fs_glob to enable more targeted file exploration utilities 2026-02-13 13:31:50 -07:00
Dark-Alex-17 c8b6fa7b11 feat: Created a new tool 'fs_grep' to search a given file's contents for relevant lines to reduce token usage for smaller models 2026-02-13 13:31:20 -07:00
Dark-Alex-17 0aa334b54e feat: Created the new fs_read tool to enable controlled reading of a file 2026-02-13 13:30:53 -07:00
Dark-Alex-17 78a49f841d feat: Let agent level variables be defined to bypass guard protections for tool invocations 2026-02-09 16:45:11 -07:00
Dark-Alex-17 43b2bd937e fix: Improved continuation prompt to not make broad todo-items 2026-02-09 15:36:57 -07:00
Dark-Alex-17 a4326875ba fix: Allow auto-continuation to work in agents after a session is compressed and if there's still unfinish items in the to-do list 2026-02-09 15:21:39 -07:00
Dark-Alex-17 eb31a58346 fix: fs_ls and fs_cat outputs should always redirect to "$LLM_OUTPUT" including on errors. 2026-02-09 14:56:55 -07:00
Dark-Alex-17 a6b0acc35d feat: Implemented a built-in task management system to help smaller LLMs complete larger multistep tasks and minimize context drift 2026-02-09 12:49:06 -07:00
Dark-Alex-17 cc7fcd0b5b feat: Improved tool and MCP invocation error handling by returning stderr to the model when it is available 2026-02-04 12:00:21 -07:00
Dark-Alex-17 02fe59b913 feat: Added variable interpolation for conversation starters in agents 2026-02-04 10:51:59 -07:00
Dark-Alex-17 6fd5f47089 build: Upgraded to the most recent version of gman to fix vault vulnerabilities 2026-02-03 09:24:53 -07:00
Dark-Alex-17 2a2922760e feat: Implemented retry logic for failed tool invocations so the LLM can learn from the result and try again; Also implemented chain loop detection to prevent loops 2026-02-01 17:06:16 -07:00
Dark-Alex-17 a3793460fd fix: Claude tool calls work incorrectly when tool doesn't require any arguments or flags; would provide an empty JSON object or error on no args 2026-02-01 17:05:36 -07:00
Dark-Alex-17 e0927a04d9 feat: Added gemini-3-pro to the supported vertexai models 2026-01-30 19:03:41 -07:00
Dark-Alex-17 8665604bab Fixed some typos in tool call error messages 2026-01-30 12:25:57 -07:00
Dark-Alex-17 d4c3c135b3 build: Created justfile to make life easier 2026-01-27 13:49:36 -07:00
Dark-Alex-17 60bd5e493c docs: Created a CREDITS file to document the history and origins of Loki from the original AIChat project 2026-01-27 13:15:20 -07:00
Dark-Alex-17 0753b2d841 build: Support Claude Opus 4.5 2026-01-26 12:40:06 -07:00
Dark-Alex-17 17e6fbd692 feat: Added an environment variable that lets users bypass guard operations in bash scripts. This is useful for agent routing 2026-01-23 14:18:52 -07:00
Dark-Alex-17 0710441650 fix: Fixed a bug where --agent-variable values were not being passed to the agents 2026-01-23 14:15:59 -07:00
Dark-Alex-17 20a76cee3e feat: Added support for thought-signatures for Gemini 3+ models 2026-01-21 15:11:55 -07:00
Dark-Alex-17 cb64785867 style: Cleaned up an anyhow error 2025-12-16 14:51:35 -07:00
182 changed files with 21222 additions and 9912 deletions
@@ -0,0 +1,11 @@
### AI assistance (if any):
- List tools here and files touched by them
### Authorship & Understanding
- [ ] I wrote or heavily modified this code myself
- [ ] I understand how it works end-to-end
- [ ] I can maintain this code in the future
- [ ] No undisclosed AI-generated code was used
- [ ] If AI assistance was used, it is documented below
+1
View File
@@ -0,0 +1 @@
{"type":"rust","build":"cargo build","test":"cargo test","check":"cargo check","_detected_by":"heuristic","_cached_at":"2026-04-13T13:36:33-06:00"}
+102
View File
@@ -1,3 +1,105 @@
## v0.3.0 (2026-04-02)
### Feat
- Added `todo__clear` function to the todo system and updated REPL commands to have a .clear todo as well for significant changes in agent direction
- Added available tools to prompts for sisyphus and code-reviewer agent families
- Added available tools to coder prompt
- Improved token efficiency when delegating from sisyphus -> coder
- modified sisyphus agents to use the new ddg-search MCP server for web searches instead of built-in model searches
- Added support for specifying a custom response to multiple-choice prompts when nothing suits the user's needs
- Supported theming in the inquire prompts in the REPL
- Added the duckduckgo-search MCP server for searching the web (in addition to the built-in tools for web searches)
- Support for Gemini OAuth
- Support authenticating or refreshing OAuth for supported clients from within the REPL
- Allow first-runs to select OAuth for supported providers
- Support OAuth authentication flows for Claude
- Improved MCP server spinup and spindown when switching contexts or settings in the REPL: Modify existing config rather than stopping all servers always and re-initializing if unnecessary
- Allow the explore agent to run search queries for understanding docs or API specs
- Allow the oracle to perform web searches for deeper research
- Added web search support to the main sisyphus agent to answer user queries
- Created a CodeRabbit-style code-reviewer agent
- Added configuration option in agents to indicate the timeout for user input before proceeding (defaults to 5 minutes)
- Added support for sub-agents to escalate user interaction requests from any depth to the parent agents for user interactions
- built-in user interaction tools to remove the need for the list/confirm/etc prompts in prompt tools and to enhance user interactions in Loki
- Experimental update to sisyphus to use the new parallel agent spawning system
- Added an agent configuration property that allows auto-injecting sub-agent spawning instructions (when using the built-in sub-agent spawning system)
- Auto-dispatch support of sub-agents and support for the teammate pattern between subagents
- Full passive task queue integration for parallelization of subagents
- Implemented initial scaffolding for built-in sub-agent spawning tool call operations
- Initial models for agent parallelization
- Added interactive prompting between the LLM and the user in Sisyphus using the built-in Bash utils scripts
### Fix
- Clarified user text input interaction
- recursion bug with similarly named Bash search functions in the explore agent
- updated the error for unauthenticated oauth to include the REPL .authenticated command
- Corrected a bug in the coder agent that wasn't outputting a summary of the changes made, so the parent Sisyphus agent has no idea if the agent worked or not
- Claude code system prompt injected into claude requests to make them valid once again
- Do not inject tools when models don't support them; detect this conflict before API calls happen
- The REPL .authenticate command works from within sessions, agents, and roles with pre-configured models
- Implemented the path normalization fix for the oracle and explore agents
- Updated the atlassian MCP server endpoint to account for future deprecation
- Fixed a bug in the coder agent that was causing the agent to create absolute paths from the current directory
- the updated regex for secrets injection broke MCP server secrets interpolation because the regex greedily matched on new lines, replacing too much content. This fix just ignores commented out lines in YAML files by skipping commented out lines.
- Don't try to inject secrets into commented-out lines in the config
- Removed top_p parameter from some agents so they can work across model providers
- Improved sub-agent stdout and stderr output for users to follow
- Inject agent variables into environment variables for global tool calls when invoked from agents to modify global tool behavior
- Removed the unnecessary execute_commands tool from the oracle agent
- Added auto_confirm to the coder agent so sub-agent spawning doesn't freeze
- Fixed a bug in the new supervisor and todo built-ins that was causing errors with OpenAI models
- Added condition to sisyphus to always output a summary to clearly indicate completion
- Updated the sisyphus prompt to explicitly tell it to delegate to the coder agent when it wants to write any code at all except for trivial changes
- Added back in the auto_confirm variable into sisyphus
- Removed the now unnecessary is_stale_response that was breaking auto-continuing with parallel agents
- Bypassed enabled_tools for user interaction tools so if function calling is enabled at all, the LLM has access to the user interaction tools when in REPL mode
- When parallel agents run, only write to stdout from the parent and only display the parent's throbber
- Forgot to implement support for failing a task and keep all dependents blocked
- Clean up orphaned sub-agents when the parent agent
- Fixed the bash prompt utils so that they correctly show output when being run by a tool invocation
- Forgot to automatically add the bidirectional communication back up to parent agents from sub-agents (i.e. need to be able to check inbox and send messages)
- Agent delegation tools were not being passed into the {{__tools__}} placeholder so agents weren't delegating to subagents
### Refactor
- Made the oauth module more generic so it can support loopback OAuth (not just manual)
- Changed the default session name for Sisyphus to temp (to require users to explicitly name sessions they wish to save)
- Updated the sisyphus agent to use the built-in user interaction tools instead of custom bash-based tools
- Cleaned up some left-over implementation stubs
## v0.2.0 (2026-02-14)
### Feat
- Simplified sisyphus prompt to improve functionality
- Supported the injection of RAG sources into the prompt, not just via the `.sources rag` command in the REPL so models can directly reference the documents that supported their responses
- Created the Sisyphus agent to make Loki function like Claude Code, Gemini, Codex, etc.
- Created the Oracle agent to handle high-level architectural decisions and design questions about a given codebase
- Updated the coder agent to be much more task-focused and to be delegated to by Sisyphus
- Created the explore agent for exploring codebases to help answer questions
- Use the official atlassian MCP server for the jira-helper agent
- Created fs_glob to enable more targeted file exploration utilities
- Created a new tool 'fs_grep' to search a given file's contents for relevant lines to reduce token usage for smaller models
- Created the new fs_read tool to enable controlled reading of a file
- Let agent level variables be defined to bypass guard protections for tool invocations
- Implemented a built-in task management system to help smaller LLMs complete larger multistep tasks and minimize context drift
- Improved tool and MCP invocation error handling by returning stderr to the model when it is available
- Added variable interpolation for conversation starters in agents
- Implemented retry logic for failed tool invocations so the LLM can learn from the result and try again; Also implemented chain loop detection to prevent loops
- Added gemini-3-pro to the supported vertexai models
- Added an environment variable that lets users bypass guard operations in bash scripts. This is useful for agent routing
- Added support for thought-signatures for Gemini 3+ models
### Fix
- Improved continuation prompt to not make broad todo-items
- Allow auto-continuation to work in agents after a session is compressed and if there's still unfinish items in the to-do list
- fs_ls and fs_cat outputs should always redirect to "$LLM_OUTPUT" including on errors.
- Claude tool calls work incorrectly when tool doesn't require any arguments or flags; would provide an empty JSON object or error on no args
- Fixed a bug where --agent-variable values were not being passed to the agents
## v0.1.3 (2025-12-13) ## v0.1.3 (2025-12-13)
### Feat ### Feat
+9 -1
View File
@@ -48,7 +48,8 @@ cz commit
1. Clone this repo 1. Clone this repo
2. Run `cargo test` to set up hooks 2. Run `cargo test` to set up hooks
3. Make changes 3. Make changes
4. Run the application using `make run` or `cargo run` 4. Run the application using `just run` or `just run`
- Install `just` (`cargo install just`) if you haven't already to use the [justfile](./justfile) in this project.
5. Commit changes. This will trigger pre-commit hooks that will run format, test and lint. If there are errors or 5. Commit changes. This will trigger pre-commit hooks that will run format, test and lint. If there are errors or
warnings from Clippy, please fix them. warnings from Clippy, please fix them.
6. Push your code to a new branch named after the feature/bug/etc. you're adding. This will trigger pre-push hooks that 6. Push your code to a new branch named after the feature/bug/etc. you're adding. This will trigger pre-push hooks that
@@ -75,6 +76,13 @@ Then, you can run workflows locally without having to commit and see if the GitH
act -W .github/workflows/release.yml --input_type bump=minor act -W .github/workflows/release.yml --input_type bump=minor
``` ```
## Authorship Policy
All code in this repository is written and reviewed by humans. AI-generated code (e.g., Copilot, ChatGPT,
Claude, etc.) is not permitted unless explicitly disclosed and approved.
Submissions must certify that the contributor understands and can maintain the code they submit.
## Questions? Reach out to me! ## Questions? Reach out to me!
If you encounter any questions while developing Loki, please don't hesitate to reach out to me at If you encounter any questions while developing Loki, please don't hesitate to reach out to me at
alex.j.tusa@gmail.com. I'm happy to help contributors in any way I can, regardless of if they're new or experienced! alex.j.tusa@gmail.com. I'm happy to help contributors in any way I can, regardless of if they're new or experienced!
+31
View File
@@ -0,0 +1,31 @@
# Credits
## AIChat
Loki originally started as a fork of the fantastic
[AIChat CLI](https://github.com/sigoden/aichat). The initial goal was simply
to fix a bug in how MCP servers worked with AIChat, allowing different MCP
servers to be specified per agent. Since then, Loki has evolved far beyond
its original scope and grown into a passion project with a life of its own.
Today, Loki includes first-class MCP server support (for both local and remote
servers), a built-in vault for interpolating secrets in configuration files,
built-in agents and macros, dynamic tab completions, integrated custom
functions (no external `argc` dependency), improved documentation, and much
more with many more ideas planned for the future.
Loki is now developed and maintained as an independent project. Full credit
for the original foundation goes to the developers of the wonderful
AIChat project.
This project is not affiliated with or endorsed by the AIChat maintainers.
## AIChat
Loki originally began as a fork of [AIChat CLI](https://github.com/sigoden/aichat),
created and maintained by the AIChat contributors.
While Loki has since diverged significantly and is now developed as an
independent project, its early foundation and inspiration came from the
AIChat project.
AIChat is licensed under the MIT License.
Generated
+1186 -1203
View File
File diff suppressed because it is too large Load Diff
+21 -10
View File
@@ -1,6 +1,6 @@
[package] [package]
name = "loki-ai" name = "loki-ai"
version = "0.1.3" version = "0.3.0"
edition = "2024" edition = "2024"
authors = ["Alex Clarke <alex.j.tusa@gmail.com>"] authors = ["Alex Clarke <alex.j.tusa@gmail.com>"]
description = "An all-in-one, batteries included LLM CLI Tool" description = "An all-in-one, batteries included LLM CLI Tool"
@@ -18,10 +18,11 @@ anyhow = "1.0.69"
bytes = "1.4.0" bytes = "1.4.0"
clap = { version = "4.5.40", features = ["cargo", "derive", "wrap_help"] } clap = { version = "4.5.40", features = ["cargo", "derive", "wrap_help"] }
dirs = "6.0.0" dirs = "6.0.0"
dunce = "1.0.5"
futures-util = "0.3.29" futures-util = "0.3.29"
inquire = "0.7.0" inquire = "0.9.4"
is-terminal = "0.4.9" is-terminal = "0.4.9"
reedline = "0.40.0" reedline = "0.46.0"
serde = { version = "1.0.152", features = ["derive"] } serde = { version = "1.0.152", features = ["derive"] }
serde_json = { version = "1.0.93", features = ["preserve_order"] } serde_json = { version = "1.0.93", features = ["preserve_order"] }
serde_yaml = "0.9.17" serde_yaml = "0.9.17"
@@ -37,7 +38,7 @@ tokio-graceful = "0.2.2"
tokio-stream = { version = "0.1.15", default-features = false, features = [ tokio-stream = { version = "0.1.15", default-features = false, features = [
"sync", "sync",
] } ] }
crossterm = "0.28.1" crossterm = "0.29.0"
chrono = "0.4.23" chrono = "0.4.23"
bincode = { version = "2.0.0", features = [ bincode = { version = "2.0.0", features = [
"serde", "serde",
@@ -88,14 +89,24 @@ duct = "1.0.0"
argc = "1.23.0" argc = "1.23.0"
strum_macros = "0.27.2" strum_macros = "0.27.2"
indoc = "2.0.6" indoc = "2.0.6"
rmcp = { version = "0.6.1", features = ["client", "transport-child-process"] } rmcp = { version = "1.5.0", features = [
"client",
"transport-child-process",
"transport-streamable-http-client-reqwest",
"reqwest-native-tls",
] }
num_cpus = "1.17.0" num_cpus = "1.17.0"
rustpython-parser = "0.4.0" tree-sitter = "0.26.8"
rustpython-ast = "0.4.0" tree-sitter-language = "0.1"
tree-sitter-python = "0.25.0"
tree-sitter-typescript = "0.23"
colored = "3.0.0" colored = "3.0.0"
clap_complete = { version = "4.5.58", features = ["unstable-dynamic"] } clap_complete = { version = "4.5.58", features = ["unstable-dynamic"] }
gman = "0.2.3" gman = "0.4.1"
clap_complete_nushell = "4.5.9" clap_complete_nushell = "4.5.9"
open = "5"
rand = { version = "0.10.0", features = ["default"] }
url = "2.5.8"
[dependencies.reqwest] [dependencies.reqwest]
version = "0.12.0" version = "0.12.0"
@@ -114,7 +125,7 @@ default-features = false
features = ["parsing", "regex-onig", "plist-load"] features = ["parsing", "regex-onig", "plist-load"]
[target.'cfg(target_os = "macos")'.dependencies] [target.'cfg(target_os = "macos")'.dependencies]
crossterm = { version = "0.28.1", features = ["use-dev-tty"] } crossterm = { version = "0.29.0", features = ["use-dev-tty"] }
[target.'cfg(target_os = "linux")'.dependencies] [target.'cfg(target_os = "linux")'.dependencies]
arboard = { version = "3.3.0", default-features = false, features = [ arboard = { version = "3.3.0", default-features = false, features = [
@@ -126,7 +137,7 @@ arboard = { version = "3.3.0", default-features = false }
[dev-dependencies] [dev-dependencies]
pretty_assertions = "1.4.0" pretty_assertions = "1.4.0"
rand = "0.9.0" serial_test = "3"
[[bin]] [[bin]]
name = "loki" name = "loki"
+49 -32
View File
@@ -1,7 +1,6 @@
# Loki: All-in-one, batteries-included LLM CLI Tool # Loki: All-in-one, batteries-included LLM CLI Tool
![Test](https://github.com/Dark-Alex-17/loki/actions/workflows/ci.yaml/badge.svg) ![Test](https://github.com/Dark-Alex-17/loki/actions/workflows/ci.yaml/badge.svg)
![LOC](https://tokei.rs/b1/github/Dark-Alex-17/loki?category=code)
[![crates.io link](https://img.shields.io/crates/v/loki-ai.svg)](https://crates.io/crates/loki-ai) [![crates.io link](https://img.shields.io/crates/v/loki-ai.svg)](https://crates.io/crates/loki-ai)
![Release](https://img.shields.io/github/v/release/Dark-Alex-17/loki?color=%23c694ff) ![Release](https://img.shields.io/github/v/release/Dark-Alex-17/loki?color=%23c694ff)
![Crate.io downloads](https://img.shields.io/crates/d/loki-ai?label=Crate%20downloads) ![Crate.io downloads](https://img.shields.io/crates/d/loki-ai?label=Crate%20downloads)
@@ -13,40 +12,43 @@ Agents, and More.
It is designed to include a number of useful agents, roles, macros, and more so users can get up and running with Loki It is designed to include a number of useful agents, roles, macros, and more so users can get up and running with Loki
in as little time as possible. in as little time as possible.
![Agent example](./docs/images/agents/sql.gif) ![Agent example](https://raw.githubusercontent.com/wiki/Dark-Alex-17/loki/images/agents/sql.gif)
Coming from [AIChat](https://github.com/sigoden/aichat)? Follow the [migration guide](./docs/AICHAT-MIGRATION.md) to get started. Coming from [AIChat](https://github.com/sigoden/aichat)? Follow the [migration guide](https://github.com/Dark-Alex-17/loki/wiki/AIChat-Migration) to get started.
## Quick Links ## Quick Links
* [AIChat Migration Guide](./docs/AICHAT-MIGRATION.md): Coming from AIChat? Follow the migration guide to get started. * [AIChat Migration Guide](https://github.com/Dark-Alex-17/loki/wiki/AIChat-Migration): Coming from AIChat? Follow the migration guide to get started.
* [Installation](#install): Install Loki * [Installation](#install): Install Loki
* [Getting Started](#getting-started): Get started with Loki by doing first-run setup steps. * [Getting Started](#getting-started): Get started with Loki by doing first-run setup steps.
* [REPL](./docs/REPL.md): Interactive Read-Eval-Print Loop for conversational interactions with LLMs and Loki. * [REPL](https://github.com/Dark-Alex-17/loki/wiki/REPL): Interactive Read-Eval-Print Loop for conversational interactions with LLMs and Loki.
* [Custom REPL Prompt](./docs/REPL-PROMPT.md): Customize the REPL prompt to provide useful contextual information. * [Custom REPL Prompt](https://github.com/Dark-Alex-17/loki/wiki/REPL-Prompt): Customize the REPL prompt to provide useful contextual information.
* [Vault](./docs/VAULT.md): Securely store and manage sensitive information such as API keys and credentials. * [Vault](https://github.com/Dark-Alex-17/loki/wiki/Vault): Securely store and manage sensitive information such as API keys and credentials.
* [Shell Integrations](./docs/SHELL-INTEGRATIONS.md): Seamlessly integrate Loki with your shell environment for enhanced command-line assistance. * [Shell Integrations](https://github.com/Dark-Alex-17/loki/wiki/Shell-Integrations): Seamlessly integrate Loki with your shell environment for enhanced command-line assistance.
* [Function Calling](./docs/function-calling/TOOLS.md#Tools): Leverage function calling capabilities to extend Loki's functionality with custom tools * [Function Calling](https://github.com/Dark-Alex-17/loki/wiki/Tools): Leverage function calling capabilities to extend Loki's functionality with custom tools
* [Creating Custom Tools](./docs/function-calling/CUSTOM-TOOLS.md): You can create your own custom tools to enhance Loki's capabilities. * [Creating Custom Tools](https://github.com/Dark-Alex-17/loki/wiki/Custom-Tools): You can create your own custom tools to enhance Loki's capabilities.
* [Create Custom Python Tools](./docs/function-calling/CUSTOM-TOOLS.md#custom-python-based-tools) * [Create Custom Python Tools](https://github.com/Dark-Alex-17/loki/wiki/Custom-Tools#custom-python-based-tools)
* [Create Custom Bash Tools](./docs/function-calling/CUSTOM-BASH-TOOLS.md) * [Create Custom TypeScript Tools](https://github.com/Dark-Alex-17/loki/wiki/Custom-Tools#custom-typescript-based-tools)
* [Bash Prompt Utilities](./docs/function-calling/BASH-PROMPT-HELPERS.md) * [Create Custom Bash Tools](https://github.com/Dark-Alex-17/loki/wiki/Custom-Bash-Tools)
* [First-Class MCP Server Support](./docs/function-calling/MCP-SERVERS.md): Easily connect and interact with MCP servers for advanced functionality. * [Bash Prompt Utilities](https://github.com/Dark-Alex-17/loki/wiki/Bash-Prompt-Helpers)
* [Macros](./docs/MACROS.md): Automate repetitive tasks and workflows with Loki "scripts" (macros). * [First-Class MCP Server Support](https://github.com/Dark-Alex-17/loki/wiki/MCP-Servers): Easily connect and interact with MCP servers for advanced functionality.
* [RAG](./docs/RAG.md): Retrieval-Augmented Generation for enhanced information retrieval and generation. * [Macros](https://github.com/Dark-Alex-17/loki/wiki/Macros): Automate repetitive tasks and workflows with Loki "scripts" (macros).
* [Sessions](/docs/SESSIONS.md): Manage and persist conversational contexts and settings across multiple interactions. * [RAG](https://github.com/Dark-Alex-17/loki/wiki/RAG): Retrieval-Augmented Generation for enhanced information retrieval and generation.
* [Roles](./docs/ROLES.md): Customize model behavior for specific tasks or domains. * [Sessions](https://github.com/Dark-Alex-17/loki/wiki/Sessions): Manage and persist conversational contexts and settings across multiple interactions.
* [Agents](/docs/AGENTS.md): Leverage AI agents to perform complex tasks and workflows. * [Roles](https://github.com/Dark-Alex-17/loki/wiki/Roles): Customize model behavior for specific tasks or domains.
* [Environment Variables](./docs/ENVIRONMENT-VARIABLES.md): Override and customize your Loki configuration at runtime with environment variables. * [Agents](https://github.com/Dark-Alex-17/loki/wiki/Agents): Leverage AI agents to perform complex tasks and workflows, including sub-agent spawning, teammate messaging, and user interaction tools.
* [Client Configurations](./docs/clients/CLIENTS.md): Configuration instructions for various LLM providers. * [Todo System](https://github.com/Dark-Alex-17/loki/wiki/TODO-System): Built-in task tracking for improved agent reliability with smaller models.
* [Patching API Requests](./docs/clients/PATCHES.md): Learn how to patch API requests for advanced customization. * [Environment Variables](https://github.com/Dark-Alex-17/loki/wiki/Environment-Variables): Override and customize your Loki configuration at runtime with environment variables.
* [Custom Themes](./docs/THEMES.md): Change the look and feel of Loki to your preferences with custom themes. * [Client Configurations](https://github.com/Dark-Alex-17/loki/wiki/Clients): Configuration instructions for various LLM providers.
* [Authentication (API Key & OAuth)](https://github.com/Dark-Alex-17/loki/wiki/Clients#authentication): Authenticate with API keys or OAuth for subscription-based access.
* [Patching API Requests](https://github.com/Dark-Alex-17/loki/wiki/Patches): Learn how to patch API requests for advanced customization.
* [Custom Themes](https://github.com/Dark-Alex-17/loki/wiki/Themes): Change the look and feel of Loki to your preferences with custom themes.
* [History](#history): A history of how Loki came to be. * [History](#history): A history of how Loki came to be.
## Prerequisites ## Prerequisites
Loki requires the following tools to be installed on your system: Loki requires the following tools to be installed on your system:
* [jq](https://github.com/jqlang/jq) * [jq](https://github.com/jqlang/jq)
* `brew install jq` * `brew install jq`
* [jira (optional)](https://github.com/ankitpokhrel/jira-cli/wiki/Installation) (For the `jira-helper` agent) * [jira (optional)](https://github.com/ankitpokhrel/jira-cli/wiki/Installation) (For the `query_jira_issues` tool)
* `brew tap ankitpokhrel/jira-cli && brew install jira-cli` * `brew tap ankitpokhrel/jira-cli && brew install jira-cli`
* You'll need to [create a JIRA API token](https://id.atlassian.com/manage-profile/security/api-tokens) for authentication * You'll need to [create a JIRA API token](https://id.atlassian.com/manage-profile/security/api-tokens) for authentication
* Then, save it as an environment variable to your shell profile: * Then, save it as an environment variable to your shell profile:
@@ -149,6 +151,26 @@ guide you through the process when you first attempt to access the vault. So, to
loki --list-secrets loki --list-secrets
``` ```
### Authentication
Each client in your configuration needs authentication (with a few exceptions; e.g. ollama). Most clients use an API key
(set via `api_key` in the config or through the [vault](https://github.com/Dark-Alex-17/loki/wiki/Vault)). For providers that support OAuth (e.g. Claude Pro/Max
subscribers, Google Gemini), you can authenticate with your existing subscription instead:
```yaml
# In your config.yaml
clients:
- type: claude
name: my-claude-oauth
auth: oauth # Indicate you want to authenticate with OAuth instead of an API key
```
```sh
loki --authenticate my-claude-oauth
# Or via the REPL: .authenticate
```
For full details, see the [authentication documentation](https://github.com/Dark-Alex-17/loki/wiki/Clients#authentication).
### Tab-Completions ### Tab-Completions
You can also enable tab completions to make using Loki easier. To do so, add the following to your shell profile: You can also enable tab completions to make using Loki easier. To do so, add the following to your shell profile:
```shell ```shell
@@ -224,7 +246,7 @@ shown below:
| Setting | Description | | Setting | Description |
|-----------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| |-----------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| `repl_prelude` | This setting lets you specify a default `session` or `role` to use when starting Loki in [REPL](./docs/REPL.md) mode. <br>Values can be <ul><li>`role:<name>` to define a role</li><li>`session:<name>` to define a session</li><li>`<session>:<role>` to define both a session and a role to use</li></ul> | | `repl_prelude` | This setting lets you specify a default `session` or `role` to use when starting Loki in [REPL](https://github.com/Dark-Alex-17/loki/wiki/REPL) mode. <br>Values can be <ul><li>`role:<name>` to define a role</li><li>`session:<name>` to define a session</li><li>`<session>:<role>` to define both a session and a role to use</li></ul> |
| `cmd_prelude` | This setting lets you specify a default `session` or `role` to use when running one-off queries in Loki via the CLI. <br>Values can be <ul><li>`role:<name>` to define a role</li><li>`session:<name>` to define a session</li><li>`<session>:<role>` to define both a session and a role to use</li></ul> | | `cmd_prelude` | This setting lets you specify a default `session` or `role` to use when running one-off queries in Loki via the CLI. <br>Values can be <ul><li>`role:<name>` to define a role</li><li>`session:<name>` to define a session</li><li>`<session>:<role>` to define both a session and a role to use</li></ul> |
| `agent_session` | This setting is used to specify a default session that all agents should start into, unless otherwise specified in the agent configuration. (e.g. `temp`, `default`) | | `agent_session` | This setting is used to specify a default session that all agents should start into, unless otherwise specified in the agent configuration. (e.g. `temp`, `default`) |
@@ -245,15 +267,10 @@ The appearance of Loki can be modified using the following settings:
--- ---
## History ## History
Loki originally started as a fork of the fantastic [AIChat CLI](https://github.com/sigoden/aichat). The purpose was to
simply fix a bug in how MCP servers worked with AIChat so that I could specify different ones for agents. However, it
has since evolved far beyond that and become a passion project with a life of its own!
Loki now has first class MCP server support (with support for local and remote servers alike), a built-in vault for Loki began as a fork of [AIChat CLI](https://github.com/sigoden/aichat) and has since evolved into an independent project.
interpolating secrets in configuration files, built-in agents, built-in macros, dynamic tab completions, integrated
custom functions (no `argc` dependency), improved documentation, and much more with many more plans for the future!
The original kudos goes out to all the developers of the wonderful AIChat project! See [CREDITS.md](./CREDITS.md) for full attribution and background.
--- ---
+319
View File
@@ -0,0 +1,319 @@
#!/usr/bin/env bash
# Shared Agent Utilities - Minimal, focused helper functions
set -euo pipefail
#######################
## PROJECT DETECTION ##
#######################
# Cache file name for detected project info
_LOKI_PROJECT_CACHE=".loki-project.json"
# Read cached project detection if valid
# Usage: _read_project_cache "/path/to/project"
# Returns: cached JSON on stdout (exit 0) or nothing (exit 1)
_read_project_cache() {
local dir="$1"
local cache_file="${dir}/${_LOKI_PROJECT_CACHE}"
if [[ -f "${cache_file}" ]]; then
local cached
cached=$(cat "${cache_file}" 2>/dev/null) || return 1
if echo "${cached}" | jq -e '.type and .build != null and .test != null and .check != null' &>/dev/null; then
echo "${cached}"
return 0
fi
fi
return 1
}
# Write project detection result to cache
# Usage: _write_project_cache "/path/to/project" '{"type":"rust",...}'
_write_project_cache() {
local dir="$1"
local json="$2"
local cache_file="${dir}/${_LOKI_PROJECT_CACHE}"
echo "${json}" > "${cache_file}" 2>/dev/null || true
}
_detect_heuristic() {
local dir="$1"
# Rust
if [[ -f "${dir}/Cargo.toml" ]]; then
echo '{"type":"rust","build":"cargo build","test":"cargo test","check":"cargo check"}'
return 0
fi
# Go
if [[ -f "${dir}/go.mod" ]]; then
echo '{"type":"go","build":"go build ./...","test":"go test ./...","check":"go vet ./..."}'
return 0
fi
# Node.JS/Deno/Bun
if [[ -f "${dir}/deno.json" ]] || [[ -f "${dir}/deno.jsonc" ]]; then
echo '{"type":"deno","build":"deno task build","test":"deno test","check":"deno lint"}'
return 0
fi
if [[ -f "${dir}/package.json" ]]; then
local pm="npm"
[[ -f "${dir}/bun.lockb" ]] || [[ -f "${dir}/bun.lock" ]] && pm="bun"
[[ -f "${dir}/pnpm-lock.yaml" ]] && pm="pnpm"
[[ -f "${dir}/yarn.lock" ]] && pm="yarn"
echo "{\"type\":\"nodejs\",\"build\":\"${pm} run build\",\"test\":\"${pm} test\",\"check\":\"${pm} run lint\"}"
return 0
fi
# Python
if [[ -f "${dir}/pyproject.toml" ]] || [[ -f "${dir}/setup.py" ]] || [[ -f "${dir}/setup.cfg" ]]; then
local test_cmd="pytest"
local check_cmd="ruff check ."
if [[ -f "${dir}/poetry.lock" ]]; then
test_cmd="poetry run pytest"
check_cmd="poetry run ruff check ."
elif [[ -f "${dir}/uv.lock" ]]; then
test_cmd="uv run pytest"
check_cmd="uv run ruff check ."
fi
echo "{\"type\":\"python\",\"build\":\"\",\"test\":\"${test_cmd}\",\"check\":\"${check_cmd}\"}"
return 0
fi
# JVM (Maven)
if [[ -f "${dir}/pom.xml" ]]; then
echo '{"type":"java","build":"mvn compile","test":"mvn test","check":"mvn verify"}'
return 0
fi
# JVM (Gradle)
if [[ -f "${dir}/build.gradle" ]] || [[ -f "${dir}/build.gradle.kts" ]]; then
local gw="gradle"
[[ -f "${dir}/gradlew" ]] && gw="./gradlew"
echo "{\"type\":\"java\",\"build\":\"${gw} build\",\"test\":\"${gw} test\",\"check\":\"${gw} check\"}"
return 0
fi
# .NET / C#
if compgen -G "${dir}/*.sln" &>/dev/null || compgen -G "${dir}/*.csproj" &>/dev/null; then
echo '{"type":"dotnet","build":"dotnet build","test":"dotnet test","check":"dotnet build --warnaserrors"}'
return 0
fi
# C/C++ (CMake)
if [[ -f "${dir}/CMakeLists.txt" ]]; then
echo '{"type":"cmake","build":"cmake --build build","test":"ctest --test-dir build","check":"cmake --build build"}'
return 0
fi
# Ruby
if [[ -f "${dir}/Gemfile" ]]; then
local test_cmd="bundle exec rake test"
[[ -f "${dir}/Rakefile" ]] && grep -q "rspec" "${dir}/Gemfile" 2>/dev/null && test_cmd="bundle exec rspec"
echo "{\"type\":\"ruby\",\"build\":\"\",\"test\":\"${test_cmd}\",\"check\":\"bundle exec rubocop\"}"
return 0
fi
# Elixir
if [[ -f "${dir}/mix.exs" ]]; then
echo '{"type":"elixir","build":"mix compile","test":"mix test","check":"mix credo"}'
return 0
fi
# PHP
if [[ -f "${dir}/composer.json" ]]; then
echo '{"type":"php","build":"","test":"./vendor/bin/phpunit","check":"./vendor/bin/phpstan analyse"}'
return 0
fi
# Swift
if [[ -f "${dir}/Package.swift" ]]; then
echo '{"type":"swift","build":"swift build","test":"swift test","check":"swift build"}'
return 0
fi
# Zig
if [[ -f "${dir}/build.zig" ]]; then
echo '{"type":"zig","build":"zig build","test":"zig build test","check":"zig build"}'
return 0
fi
# Generic build systems (last resort before LLM)
if [[ -f "${dir}/justfile" ]] || [[ -f "${dir}/Justfile" ]]; then
echo '{"type":"just","build":"just build","test":"just test","check":"just lint"}'
return 0
fi
if [[ -f "${dir}/Makefile" ]] || [[ -f "${dir}/makefile" ]] || [[ -f "${dir}/GNUmakefile" ]]; then
echo '{"type":"make","build":"make build","test":"make test","check":"make lint"}'
return 0
fi
return 1
}
# Gather lightweight evidence about a project for LLM analysis
# Usage: _gather_project_evidence "/path/to/project"
# Returns: evidence string on stdout
_gather_project_evidence() {
local dir="$1"
local evidence=""
evidence+="Root files and directories:"$'\n'
evidence+=$(ls -1 "${dir}" 2>/dev/null | head -50)
evidence+=$'\n\n'
evidence+="File extension counts:"$'\n'
evidence+=$(find "${dir}" -type f \
-not -path '*/.git/*' \
-not -path '*/node_modules/*' \
-not -path '*/target/*' \
-not -path '*/dist/*' \
-not -path '*/__pycache__/*' \
-not -path '*/vendor/*' \
-not -path '*/.build/*' \
2>/dev/null \
| sed 's/.*\.//' | sort | uniq -c | sort -rn | head -10)
evidence+=$'\n\n'
local config_patterns=("*.toml" "*.yaml" "*.yml" "*.json" "*.xml" "*.gradle" "*.gradle.kts" "*.cabal" "*.pro" "Makefile" "justfile" "Justfile" "Dockerfile" "Taskfile*" "BUILD" "WORKSPACE" "flake.nix" "shell.nix" "default.nix")
local found_configs=0
for pattern in "${config_patterns[@]}"; do
if [[ ${found_configs} -ge 5 ]]; then
break
fi
local files
files=$(find "${dir}" -maxdepth 1 -name "${pattern}" -type f 2>/dev/null)
while IFS= read -r f; do
if [[ -n "${f}" && ${found_configs} -lt 5 ]]; then
local basename
basename=$(basename "${f}")
evidence+="--- ${basename} (first 30 lines) ---"$'\n'
evidence+=$(head -30 "${f}" 2>/dev/null)
evidence+=$'\n\n'
found_configs=$((found_configs + 1))
fi
done <<< "${files}"
done
echo "${evidence}"
}
# LLM-based project detection fallback
# Usage: _detect_with_llm "/path/to/project"
# Returns: JSON on stdout or empty (exit 1)
_detect_with_llm() {
local dir="$1"
local evidence
evidence=$(_gather_project_evidence "${dir}")
local prompt
prompt=$(cat <<-EOF
Analyze this project directory and determine the project type, primary language, and the correct shell commands to build, test, and check (lint/typecheck) it.
EOF
)
prompt+=$'\n'"${evidence}"$'\n'
prompt+=$(cat <<-EOF
Respond with ONLY a valid JSON object. No markdown fences, no explanation, no extra text.
The JSON must have exactly these 4 keys:
{"type":"<language>","build":"<build command>","test":"<test command>","check":"<lint or typecheck command>"}
Rules:
- "type" must be a single lowercase word (e.g. rust, go, python, nodejs, java, ruby, elixir, cpp, c, zig, haskell, scala, kotlin, dart, swift, php, dotnet, etc.)
- If a command doesn't apply to this project, use an empty string, ""
- Use the most standard/common commands for the detected ecosystem
- If you detect a package manager lockfile, use that package manager (e.g. pnpm over npm)
EOF
)
local llm_response
llm_response=$(loki --no-stream "${prompt}" 2>/dev/null) || return 1
llm_response=$(echo "${llm_response}" | sed 's/^```json//;s/^```//;s/```$//' | tr -d '\n' | sed 's/^[[:space:]]*//')
llm_response=$(echo "${llm_response}" | grep -o '{[^}]*}' | head -1)
if echo "${llm_response}" | jq -e '.type and .build != null and .test != null and .check != null' &>/dev/null; then
echo "${llm_response}" | jq -c '{type: (.type // "unknown"), build: (.build // ""), test: (.test // ""), check: (.check // "")}'
return 0
fi
return 1
}
# Detect project type and return build/test commands
# Uses: cached result -> fast heuristics -> LLM fallback
detect_project() {
local dir="${1:-.}"
local cached
if cached=$(_read_project_cache "${dir}"); then
echo "${cached}" | jq -c '{type, build, test, check}'
return 0
fi
local result
if result=$(_detect_heuristic "${dir}"); then
local enriched
enriched=$(echo "${result}" | jq -c '. + {"_detected_by":"heuristic","_cached_at":"'"$(date -Iseconds)"'"}')
_write_project_cache "${dir}" "${enriched}"
echo "${result}"
return 0
fi
if result=$(_detect_with_llm "${dir}"); then
local enriched
enriched=$(echo "${result}" | jq -c '. + {"_detected_by":"llm","_cached_at":"'"$(date -Iseconds)"'"}')
_write_project_cache "${dir}" "${enriched}"
echo "${result}"
return 0
fi
echo '{"type":"unknown","build":"","test":"","check":""}'
}
###########################
## FILE SEARCH UTILITIES ##
###########################
_search_files() {
local pattern="$1"
local dir="${2:-.}"
find "${dir}" -type f -name "${pattern}" \
-not -path '*/target/*' \
-not -path '*/node_modules/*' \
-not -path '*/.git/*' \
-not -path '*/dist/*' \
-not -path '*/__pycache__/*' \
2>/dev/null | head -25
}
get_tree() {
local dir="${1:-.}"
local depth="${2:-3}"
if command -v tree &>/dev/null; then
tree -L "${depth}" --noreport -I 'node_modules|target|dist|.git|__pycache__|*.pyc' "${dir}" 2>/dev/null || find "${dir}" -maxdepth "${depth}" -type f | head -50
else
find "${dir}" -maxdepth "${depth}" -type f \
-not -path '*/target/*' \
-not -path '*/node_modules/*' \
-not -path '*/.git/*' \
2>/dev/null | head -50
fi
}
+36
View File
@@ -0,0 +1,36 @@
# Code Reviewer
A CodeRabbit-style code review orchestrator that coordinates per-file reviews and synthesizes findings into a unified
report.
This agent acts as the manager for the review process, delegating actual file analysis to **[File Reviewer](../file-reviewer/README.md)**
agents while handling coordination and final reporting.
## Features
- 🤖 **Orchestration**: Spawns parallel reviewers for each changed file.
- 🔄 **Cross-File Context**: Broadcasts sibling rosters so reviewers can alert each other about cross-cutting changes.
- 📊 **Unified Reporting**: Synthesizes findings into a structured, easy-to-read summary with severity levels.
-**Parallel Execution**: Runs reviews concurrently for maximum speed.
## Pro-Tip: Use an IDE MCP Server for Improved Performance
Many modern IDEs now include MCP servers that let LLMs perform operations within the IDE itself and use IDE tools. Using
an IDE's MCP server dramatically improves the performance of coding agents. So if you have an IDE, try adding that MCP
server to your config (see the [MCP Server docs](../../../docs/function-calling/MCP-SERVERS.md) to see how to configure
them), and modify the agent definition to look like this:
```yaml
# ...
mcp_servers:
- jetbrains # The name of your configured IDE MCP server
global_tools:
- fs_read.sh
- fs_grep.sh
- fs_glob.sh
# - execute_command.sh
# ...
```
+127
View File
@@ -0,0 +1,127 @@
name: code-reviewer
description: CodeRabbit-style code reviewer - spawns per-file reviewers, synthesizes findings
version: 1.0.0
temperature: 0.1
auto_continue: true
max_auto_continues: 20
inject_todo_instructions: true
can_spawn_agents: true
max_concurrent_agents: 10
max_agent_depth: 2
variables:
- name: project_dir
description: Project directory to review
default: '.'
global_tools:
- fs_read.sh
- fs_grep.sh
- fs_glob.sh
- execute_command.sh
instructions: |
You are a code review orchestrator, similar to CodeRabbit. You coordinate per-file reviews and produce a unified report.
## Workflow
1. **Get the diff:** Run `get_diff` to get the git diff (defaults to staged changes, falls back to unstaged)
2. **Parse changed files:** Extract the list of files from the diff
3. **Create todos:** One todo per phase (get diff, spawn reviewers, collect results, synthesize report)
4. **Spawn file-reviewers:** One `file-reviewer` agent per changed file, in parallel
5. **Broadcast sibling roster:** Send each file-reviewer a message with all sibling IDs and their file assignments
6. **Collect all results:** Wait for each file-reviewer to complete
7. **Synthesize:** Combine all findings into a CodeRabbit-style report
## Spawning File Reviewers
For each changed file, spawn a file-reviewer with a prompt containing:
- The file path
- The relevant diff hunk(s) for that file
- Instructions to review it
```
agent__spawn --agent file-reviewer --prompt "Review the following diff for <file_path>:
<diff content for this file>
Focus on bugs, security issues, logic errors, and style. Use the severity format (🔴🟡🟢💡).
End with REVIEW_COMPLETE."
```
## Sibling Roster Broadcast
After spawning ALL file-reviewers (collecting their IDs), send each one a message with the roster:
```
agent__send_message --to <agent_id> --message "SIBLING_ROSTER:
- <agent_id_1>: reviewing <file_1>
- <agent_id_2>: reviewing <file_2>
...
Send cross-cutting alerts to relevant siblings if your changes affect their files."
```
## Diff Parsing
Split the diff by file. Each file's diff starts with `diff --git a/<path> b/<path>`. Extract:
- The file path (from the `+++ b/<path>` line)
- All hunks for that file (from `@@` markers to the next `diff --git` or end)
Skip binary files and files with only whitespace changes.
## Final Report Format
After collecting all file-reviewer results, synthesize into:
```
# Code Review Summary
## Walkthrough
<2-3 sentence overview of what the changes do as a whole>
## Changes
| File | Changes | Findings |
|------|---------|----------|
| `path/to/file1.rs` | <brief description> | 🔴 1 🟡 2 🟢 1 |
| `path/to/file2.rs` | <brief description> | 🟢 2 💡 1 |
## Detailed Findings
### `path/to/file1.rs`
<paste file-reviewer's findings here, cleaned up>
### `path/to/file2.rs`
<paste file-reviewer's findings here, cleaned up>
## Cross-File Concerns
<any cross-cutting issues identified by the teammate pattern>
---
*Reviewed N files, found X critical, Y warnings, Z suggestions, W nitpicks*
```
## Edge Cases
- **Single file changed:** Still spawn one file-reviewer (for consistency), skip roster broadcast
- **Too many files (>10):** Group small files (< 20 lines changed) and review them together
- **No changes found:** Report "No changes to review" and exit
- **Binary files:** Skip with a note in the summary
## Rules
1. **Always use `get_diff` first:** Don't assume what changed
2. **Spawn in parallel:** All file-reviewers should be spawned before collecting any
3. **Don't review code yourself:** Delegate ALL review work to file-reviewers
4. **Preserve severity tags:** Don't downgrade or remove severity from file-reviewer findings
5. **Include ALL findings:** Don't summarize away specific issues
## Context
- Project: {{project_dir}}
- CWD: {{__cwd__}}
- Shell: {{__shell__}}
## Available Tools:
{{__tools__}}
+478
View File
@@ -0,0 +1,478 @@
#!/usr/bin/env bash
set -eo pipefail
# shellcheck disable=SC1090
source "$LLM_PROMPT_UTILS_FILE"
source "$LLM_ROOT_DIR/agents/.shared/utils.sh"
# @env LLM_OUTPUT=/dev/stdout
# @env LLM_AGENT_VAR_PROJECT_DIR=.
# @describe Code review orchestrator tools
_project_dir() {
local dir="${LLM_AGENT_VAR_PROJECT_DIR:-.}"
(cd "${dir}" 2>/dev/null && pwd) || echo "${dir}"
}
# @cmd Get git diff for code review. Returns staged changes, or unstaged if nothing is staged, or HEAD~1 diff if working tree is clean.
# @option --base Optional base ref to diff against (e.g., "main", "HEAD~3", a commit SHA)
get_diff() {
local project_dir
project_dir=$(_project_dir)
# shellcheck disable=SC2154
local base="${argc_base:-}"
local diff_output=""
if [[ -n "${base}" ]]; then
diff_output=$(cd "${project_dir}" && git diff "${base}" 2>&1) || true
else
diff_output=$(cd "${project_dir}" && git diff --cached 2>&1) || true
if [[ -z "${diff_output}" ]]; then
diff_output=$(cd "${project_dir}" && git diff 2>&1) || true
fi
if [[ -z "${diff_output}" ]]; then
diff_output=$(cd "${project_dir}" && git diff HEAD~1 2>&1) || true
fi
fi
if [[ -z "${diff_output}" ]]; then
warn "No changes found to review" >> "$LLM_OUTPUT"
return 0
fi
local file_count
file_count=$(echo "${diff_output}" | grep -c '^diff --git' || true)
{
info "Diff contains changes to ${file_count} file(s)"
echo ""
echo "${diff_output}"
} >> "$LLM_OUTPUT"
}
# @cmd Get list of changed files with stats
# @option --base Optional base ref to diff against
get_changed_files() {
local project_dir
project_dir=$(_project_dir)
local base="${argc_base:-}"
local stat_output=""
if [[ -n "${base}" ]]; then
stat_output=$(cd "${project_dir}" && git diff --stat "${base}" 2>&1) || true
else
stat_output=$(cd "${project_dir}" && git diff --cached --stat 2>&1) || true
if [[ -z "${stat_output}" ]]; then
stat_output=$(cd "${project_dir}" && git diff --stat 2>&1) || true
fi
if [[ -z "${stat_output}" ]]; then
stat_output=$(cd "${project_dir}" && git diff --stat HEAD~1 2>&1) || true
fi
fi
if [[ -z "${stat_output}" ]]; then
warn "No changes found" >> "$LLM_OUTPUT"
return 0
fi
{
info "Changed files:"
echo ""
echo "${stat_output}"
} >> "$LLM_OUTPUT"
}
# @cmd Get project structure and type information
get_project_info() {
local project_dir
project_dir=$(_project_dir)
local project_info
project_info=$(detect_project "${project_dir}")
{
info "Project: ${project_dir}"
echo "Type: $(echo "${project_info}" | jq -r '.type')"
echo ""
get_tree "${project_dir}" 2
} >> "$LLM_OUTPUT"
}
# ARGC-BUILD {
# This block was generated by argc (https://github.com/sigoden/argc).
# Modifying it manually is not recommended
_argc_run() {
if [[ "${1:-}" == "___internal___" ]]; then
_argc_die "error: unsupported ___internal___ command"
fi
if [[ "${OS:-}" == "Windows_NT" ]] && [[ -n "${MSYSTEM:-}" ]]; then
set -o igncr
fi
argc__args=("$(basename "$0" .sh)" "$@")
argc__positionals=()
_argc_index=1
_argc_len="${#argc__args[@]}"
_argc_tools=()
_argc_parse
if [ -n "${argc__fn:-}" ]; then
$argc__fn "${argc__positionals[@]}"
fi
}
_argc_usage() {
cat <<-'EOF'
Code review orchestrator tools
USAGE: <COMMAND>
COMMANDS:
get_diff Get git diff for code review. Returns staged changes, or unstaged if nothing is staged, or HEAD~1 diff if working tree is clean. [aliases: get-diff]
get_changed_files Get list of changed files with stats [aliases: get-changed-files]
get_project_info Get project structure and type information [aliases: get-project-info]
ENVIRONMENTS:
LLM_OUTPUT [default: /dev/stdout]
LLM_AGENT_VAR_PROJECT_DIR [default: .]
EOF
exit
}
_argc_version() {
echo 0.0.0
exit
}
_argc_parse() {
local _argc_key _argc_action
local _argc_subcmds="get_diff, get-diff, get_changed_files, get-changed-files, get_project_info, get-project-info"
while [[ $_argc_index -lt $_argc_len ]]; do
_argc_item="${argc__args[_argc_index]}"
_argc_key="${_argc_item%%=*}"
case "$_argc_key" in
--help | -help | -h)
_argc_usage
;;
--version | -version | -V)
_argc_version
;;
--)
_argc_dash="${#argc__positionals[@]}"
argc__positionals+=("${argc__args[@]:$((_argc_index + 1))}")
_argc_index=$_argc_len
break
;;
get_diff | get-diff)
_argc_index=$((_argc_index + 1))
_argc_action=_argc_parse_get_diff
break
;;
get_changed_files | get-changed-files)
_argc_index=$((_argc_index + 1))
_argc_action=_argc_parse_get_changed_files
break
;;
get_project_info | get-project-info)
_argc_index=$((_argc_index + 1))
_argc_action=_argc_parse_get_project_info
break
;;
help)
local help_arg="${argc__args[$((_argc_index + 1))]:-}"
case "$help_arg" in
get_diff | get-diff)
_argc_usage_get_diff
;;
get_changed_files | get-changed-files)
_argc_usage_get_changed_files
;;
get_project_info | get-project-info)
_argc_usage_get_project_info
;;
"")
_argc_usage
;;
*)
_argc_die "error: invalid value \`$help_arg\` for \`<command>\`"$'\n'" [possible values: $_argc_subcmds]"
;;
esac
;;
*)
_argc_die "error: \`\` requires a subcommand but one was not provided"$'\n'" [subcommands: $_argc_subcmds]"
;;
esac
done
if [[ -n "${_argc_action:-}" ]]; then
$_argc_action
else
_argc_usage
fi
}
_argc_usage_get_diff() {
cat <<-'EOF'
Get git diff for code review. Returns staged changes, or unstaged if nothing is staged, or HEAD~1 diff if working tree is clean.
USAGE: get_diff [OPTIONS]
OPTIONS:
--base <BASE> Optional base ref to diff against (e.g., "main", "HEAD~3", a commit SHA)
-h, --help Print help
ENVIRONMENTS:
LLM_OUTPUT [default: /dev/stdout]
LLM_AGENT_VAR_PROJECT_DIR [default: .]
EOF
exit
}
_argc_parse_get_diff() {
local _argc_key _argc_action
local _argc_subcmds=""
while [[ $_argc_index -lt $_argc_len ]]; do
_argc_item="${argc__args[_argc_index]}"
_argc_key="${_argc_item%%=*}"
case "$_argc_key" in
--help | -help | -h)
_argc_usage_get_diff
;;
--)
_argc_dash="${#argc__positionals[@]}"
argc__positionals+=("${argc__args[@]:$((_argc_index + 1))}")
_argc_index=$_argc_len
break
;;
--base)
_argc_take_args "--base <BASE>" 1 1 "-" ""
_argc_index=$((_argc_index + _argc_take_args_len + 1))
if [[ -z "${argc_base:-}" ]]; then
argc_base="${_argc_take_args_values[0]:-}"
else
_argc_die "error: the argument \`--base\` cannot be used multiple times"
fi
;;
*)
if _argc_maybe_flag_option "-" "$_argc_item"; then
_argc_die "error: unexpected argument \`$_argc_key\` found"
fi
argc__positionals+=("$_argc_item")
_argc_index=$((_argc_index + 1))
;;
esac
done
if [[ -n "${_argc_action:-}" ]]; then
$_argc_action
else
argc__fn=get_diff
if [[ "${argc__positionals[0]:-}" == "help" ]] && [[ "${#argc__positionals[@]}" -eq 1 ]]; then
_argc_usage_get_diff
fi
if [[ -z "${LLM_OUTPUT:-}" ]]; then
export LLM_OUTPUT=/dev/stdout
fi
if [[ -z "${LLM_AGENT_VAR_PROJECT_DIR:-}" ]]; then
export LLM_AGENT_VAR_PROJECT_DIR=.
fi
fi
}
_argc_usage_get_changed_files() {
cat <<-'EOF'
Get list of changed files with stats
USAGE: get_changed_files [OPTIONS]
OPTIONS:
--base <BASE> Optional base ref to diff against
-h, --help Print help
ENVIRONMENTS:
LLM_OUTPUT [default: /dev/stdout]
LLM_AGENT_VAR_PROJECT_DIR [default: .]
EOF
exit
}
_argc_parse_get_changed_files() {
local _argc_key _argc_action
local _argc_subcmds=""
while [[ $_argc_index -lt $_argc_len ]]; do
_argc_item="${argc__args[_argc_index]}"
_argc_key="${_argc_item%%=*}"
case "$_argc_key" in
--help | -help | -h)
_argc_usage_get_changed_files
;;
--)
_argc_dash="${#argc__positionals[@]}"
argc__positionals+=("${argc__args[@]:$((_argc_index + 1))}")
_argc_index=$_argc_len
break
;;
--base)
_argc_take_args "--base <BASE>" 1 1 "-" ""
_argc_index=$((_argc_index + _argc_take_args_len + 1))
if [[ -z "${argc_base:-}" ]]; then
argc_base="${_argc_take_args_values[0]:-}"
else
_argc_die "error: the argument \`--base\` cannot be used multiple times"
fi
;;
*)
if _argc_maybe_flag_option "-" "$_argc_item"; then
_argc_die "error: unexpected argument \`$_argc_key\` found"
fi
argc__positionals+=("$_argc_item")
_argc_index=$((_argc_index + 1))
;;
esac
done
if [[ -n "${_argc_action:-}" ]]; then
$_argc_action
else
argc__fn=get_changed_files
if [[ "${argc__positionals[0]:-}" == "help" ]] && [[ "${#argc__positionals[@]}" -eq 1 ]]; then
_argc_usage_get_changed_files
fi
if [[ -z "${LLM_OUTPUT:-}" ]]; then
export LLM_OUTPUT=/dev/stdout
fi
if [[ -z "${LLM_AGENT_VAR_PROJECT_DIR:-}" ]]; then
export LLM_AGENT_VAR_PROJECT_DIR=.
fi
fi
}
_argc_usage_get_project_info() {
cat <<-'EOF'
Get project structure and type information
USAGE: get_project_info
ENVIRONMENTS:
LLM_OUTPUT [default: /dev/stdout]
LLM_AGENT_VAR_PROJECT_DIR [default: .]
EOF
exit
}
_argc_parse_get_project_info() {
local _argc_key _argc_action
local _argc_subcmds=""
while [[ $_argc_index -lt $_argc_len ]]; do
_argc_item="${argc__args[_argc_index]}"
_argc_key="${_argc_item%%=*}"
case "$_argc_key" in
--help | -help | -h)
_argc_usage_get_project_info
;;
--)
_argc_dash="${#argc__positionals[@]}"
argc__positionals+=("${argc__args[@]:$((_argc_index + 1))}")
_argc_index=$_argc_len
break
;;
*)
argc__positionals+=("$_argc_item")
_argc_index=$((_argc_index + 1))
;;
esac
done
if [[ -n "${_argc_action:-}" ]]; then
$_argc_action
else
argc__fn=get_project_info
if [[ "${argc__positionals[0]:-}" == "help" ]] && [[ "${#argc__positionals[@]}" -eq 1 ]]; then
_argc_usage_get_project_info
fi
if [[ -z "${LLM_OUTPUT:-}" ]]; then
export LLM_OUTPUT=/dev/stdout
fi
if [[ -z "${LLM_AGENT_VAR_PROJECT_DIR:-}" ]]; then
export LLM_AGENT_VAR_PROJECT_DIR=.
fi
fi
}
_argc_take_args() {
_argc_take_args_values=()
_argc_take_args_len=0
local param="$1" min="$2" max="$3" signs="$4" delimiter="$5"
if [[ "$min" -eq 0 ]] && [[ "$max" -eq 0 ]]; then
return
fi
local _argc_take_index=$((_argc_index + 1)) _argc_take_value
if [[ "$_argc_item" == *=* ]]; then
_argc_take_args_values=("${_argc_item##*=}")
else
while [[ $_argc_take_index -lt $_argc_len ]]; do
_argc_take_value="${argc__args[_argc_take_index]}"
if _argc_maybe_flag_option "$signs" "$_argc_take_value"; then
if [[ "${#_argc_take_value}" -gt 1 ]]; then
break
fi
fi
_argc_take_args_values+=("$_argc_take_value")
_argc_take_args_len=$((_argc_take_args_len + 1))
if [[ "$_argc_take_args_len" -ge "$max" ]]; then
break
fi
_argc_take_index=$((_argc_take_index + 1))
done
fi
if [[ "${#_argc_take_args_values[@]}" -lt "$min" ]]; then
_argc_die "error: incorrect number of values for \`$param\`"
fi
if [[ -n "$delimiter" ]] && [[ "${#_argc_take_args_values[@]}" -gt 0 ]]; then
local item values arr=()
for item in "${_argc_take_args_values[@]}"; do
IFS="$delimiter" read -r -a values <<<"$item"
arr+=("${values[@]}")
done
_argc_take_args_values=("${arr[@]}")
fi
}
_argc_maybe_flag_option() {
local signs="$1" arg="$2"
if [[ -z "$signs" ]]; then
return 1
fi
local cond=false
if [[ "$signs" == *"+"* ]]; then
if [[ "$arg" =~ ^\+[^+].* ]]; then
cond=true
fi
elif [[ "$arg" == -* ]]; then
if (( ${#arg} < 3 )) || [[ ! "$arg" =~ ^---.* ]]; then
cond=true
fi
fi
if [[ "$cond" == "false" ]]; then
return 1
fi
local value="${arg%%=*}"
if [[ "$value" =~ [[:space:]] ]]; then
return 1
fi
return 0
}
_argc_die() {
if [[ $# -eq 0 ]]; then
cat
else
echo "$*" >&2
fi
exit 1
}
_argc_run "$@"
# ARGC-BUILD }
+27 -3
View File
@@ -2,6 +2,9 @@
An AI agent that assists you with your coding tasks. An AI agent that assists you with your coding tasks.
This agent is designed to be delegated to by the **[Sisyphus](../sisyphus/README.md)** agent to implement code specifications. Sisyphus
acts as the coordinator/architect, while Coder handles the implementation details.
## Features ## Features
- 🏗️ Intelligent project structure creation and management - 🏗️ Intelligent project structure creation and management
@@ -10,7 +13,28 @@ An AI agent that assists you with your coding tasks.
- 🧐 Advanced code analysis and improvement suggestions - 🧐 Advanced code analysis and improvement suggestions
- 📊 Precise diff-based file editing for controlled code modifications - 📊 Precise diff-based file editing for controlled code modifications
## Similar Projects It can also be used as a standalone tool for direct coding assistance.
- https://github.com/Doriandarko/claude-engineer ## Pro-Tip: Use an IDE MCP Server for Improved Performance
- https://github.com/paul-gauthier/aider Many modern IDEs now include MCP servers that let LLMs perform operations within the IDE itself and use IDE tools. Using
an IDE's MCP server dramatically improves the performance of coding agents. So if you have an IDE, try adding that MCP
server to your config (see the [MCP Server docs](../../../docs/function-calling/MCP-SERVERS.md) to see how to configure
them), and modify the agent definition to look like this:
```yaml
# ...
mcp_servers:
- jetbrains # The name of your configured IDE MCP server
global_tools:
# Keep useful read-only tools for reading files in other non-project directories
- fs_read.sh
- fs_grep.sh
- fs_glob.sh
# - fs_write.sh
# - fs_patch.sh
- execute_command.sh
# ...
```
+116 -40
View File
@@ -1,53 +1,129 @@
name: Coder name: coder
description: An AI agent that assists you with your coding tasks description: Implementation agent - writes code, follows patterns, verifies with builds
version: 0.1.0 version: 1.0.0
temperature: 0.1
auto_continue: true
max_auto_continues: 15
inject_todo_instructions: true
variables:
- name: project_dir
description: Project directory to work in
default: '.'
- name: auto_confirm
description: Auto-confirm command execution
default: '1'
global_tools: global_tools:
- fs_mkdir.sh - fs_read.sh
- fs_ls.sh - fs_grep.sh
- fs_glob.sh
- fs_write.sh
- fs_patch.sh - fs_patch.sh
- fs_cat.sh - execute_command.sh
instructions: | instructions: |
You are an exceptional software developer with vast knowledge across multiple programming languages, frameworks, and best practices. You are a senior engineer. You write code that works on the first try.
Your capabilities include:
1. Creating and managing project structures ## Your Mission
2. Writing, debugging, and improving code across multiple languages
3. Providing architectural insights and applying design patterns
4. Staying current with the latest technologies and best practices
5. Analyzing and manipulating files within the project directory
Available tools and their optimal use cases: Given an implementation task:
1. Check for orchestrator context first (see below)
2. Fill gaps only. Read files NOT already covered in context
3. Write the code (using tools, NOT chat output)
4. Verify it compiles/builds
5. Signal completion with a summary
1. fs_mkdir: Create new directories in the project structure. ## Using Orchestrator Context (IMPORTANT)
2. fs_create: Generate new files with specified contents.
3. fs_patch: Examine and modify existing files.
4. fs_cat: View the contents of existing files without making changes.
5. fs_ls: Understand the current project structure or locate specific files.
Tool Usage Guidelines: When spawned by sisyphus, your prompt will often contain a `<context>` block
- Always use the most appropriate tool for the task at hand. with prior findings: file paths, code patterns, and conventions discovered by
- For file modifications, use fs_patch. Read the file first, then apply changes if needed. explore agents.
- After making changes, always review the diff output to ensure accuracy.
Project Creation and Management: **If context is provided:**
1. Start by creating a root folder for new projects. 1. Use it as your primary reference. Don't re-read files already summarized
2. Create necessary subdirectories and files within the root folder. 2. Follow the code patterns shown. Snippets in context ARE the style guide
3. Organize the project structure logically, following best practices for the specific project type. 3. Read the referenced files ONLY IF you need more detail (e.g. full function
signature, import list, or adjacent code not included in the snippet)
4. If context includes a "Conventions" section, follow it exactly
Code Editing Best Practices: **If context is NOT provided or is too vague to act on:**
1. Always read the file content before making changes. Fall back to self-exploration: grep for similar files, read 1-2 examples,
2. Analyze the code and determine necessary modifications. match their style.
3. Pay close attention to existing code structure to avoid unintended alterations.
4. Review changes thoroughly after each modification.
Always strive for accuracy, clarity, and efficiency in your responses and actions. **Never ignore provided context.** It represents work already done upstream.
Answer the user's request using relevant tools (if they are available). Before calling a tool, do some analysis within <thinking></thinking> tags. First, think about which of the provided tools is the relevant tool to answer the user's request. Second, go through each of the required parameters of the relevant tool and determine if the user has directly provided or given enough information to infer a value. When deciding if the parameter can be inferred, carefully consider all the context to see if it supports a specific value. If all of the required parameters are present or can be reasonably inferred, close the thinking tag and proceed with the tool call. BUT, if one of the values for a required parameter is missing, DO NOT invoke the function (not even with fillers for the missing params) and instead, ask the user to provide the missing parameters. DO NOT ask for more information on optional parameters if it is not provided. ## Todo System
Do not reflect on the quality of the returned search results in your response. For multi-file changes:
1. `todo__init` with the implementation goal
2. `todo__add` for each file to create/modify
3. Implement each, calling `todo__done` immediately after
conversation_starters: ## Writing Code
- 'Create a new Python project structure for a web application'
- 'Explain the code in file.py and suggest improvements' **CRITICAL**: Write code using `write_file` tool, NEVER paste code in chat.
- 'Search for the latest best practices in React development'
- 'Help me debug this error: [paste your error message]' Correct:
```
write_file --path "src/user.rs" --content "pub struct User { ... }"
```
Wrong:
```
Here's the implementation:
\`\`\`rust
pub struct User { ... }
\`\`\`
```
## File Reading Strategy (IMPORTANT - minimize token usage)
1. **Use grep to find relevant code** - `fs_grep --pattern "fn handle_request" --include "*.rs"` finds where things are
2. **Read only what you need** - `fs_read --path "src/main.rs" --offset 50 --limit 30` reads lines 50-79
3. **Never cat entire large files** - If 500+ lines, read the relevant section after grepping for it
4. **Use glob to find files** - `fs_glob --pattern "*.rs" --path src/` discovers files by name
## Pattern Matching
Before writing ANY file:
1. Find a similar existing file (use `fs_grep` to locate, then `fs_read` to examine)
2. Match its style: imports, naming, structure
3. Follow the same patterns exactly
## Verification
After writing files:
1. Run `verify_build` to check compilation
2. If it fails, fix the error (minimal change)
3. Don't move on until build passes
## Completion Signal
When done, end your response with a summary so the parent agent knows what happened:
```
CODER_COMPLETE: [summary of what was implemented, which files were created/modified, and build status]
```
Or if something went wrong:
```
CODER_FAILED: [what went wrong]
```
## Rules
1. **Write code via tools** - Never output code to chat
2. **Follow patterns** - Read existing files first
3. **Verify builds** - Don't finish without checking
4. **Minimal fixes** - If build fails, fix precisely
5. **No refactoring** - Only implement what's asked
## Context
- Project: {{project_dir}}
- CWD: {{__cwd__}}
- Shell: {{__shell__}}
## Available tools:
{{__tools__}}
+210 -12
View File
@@ -1,18 +1,216 @@
#!/usr/bin/env bash #!/usr/bin/env bash
set -e set -eo pipefail
# @env LLM_OUTPUT=/dev/stdout The output path
# shellcheck disable=SC1090 # shellcheck disable=SC1090
source "$LLM_PROMPT_UTILS_FILE" source "$LLM_PROMPT_UTILS_FILE"
source "$LLM_ROOT_DIR/agents/.shared/utils.sh"
# @cmd Create a new file at the specified path with the given contents. # @env LLM_OUTPUT=/dev/stdout
# @option --path! The path where the file should be created # @env LLM_AGENT_VAR_PROJECT_DIR=.
# @option --contents! The contents of the file # @describe Coder agent tools for implementing code changes
# shellcheck disable=SC2154
fs_create() { _project_dir() {
guard_path "$argc_path" "Create '$argc_path'?" local dir="${LLM_AGENT_VAR_PROJECT_DIR:-.}"
mkdir -p "$(dirname "$argc_path")" (cd "${dir}" 2>/dev/null && pwd) || echo "${dir}"
printf "%s" "$argc_contents" > "$argc_path" }
echo "File created: $argc_path" >> "$LLM_OUTPUT"
# Normalize a path to be relative to project root.
# Strips the project_dir prefix if the LLM passes an absolute path.
# Usage: local rel_path; rel_path=$(_normalize_path "/abs/or/rel/path")
_normalize_path() {
local input_path="$1"
local project_dir
project_dir=$(_project_dir)
if [[ "${input_path}" == /* ]]; then
input_path="${input_path#"${project_dir}"/}"
fi
input_path="${input_path#./}"
echo "${input_path}"
}
# @cmd Read a file's contents before modifying
# @option --path! Path to the file (relative to project root)
read_file() {
local file_path
# shellcheck disable=SC2154
file_path=$(_normalize_path "${argc_path}")
local project_dir
project_dir=$(_project_dir)
local full_path="${project_dir}/${file_path}"
if [[ ! -f "${full_path}" ]]; then
warn "File not found: ${file_path}" >> "$LLM_OUTPUT"
return 0
fi
{
info "Reading: ${file_path}"
echo ""
cat "${full_path}"
} >> "$LLM_OUTPUT"
}
# @cmd Write complete file contents
# @option --path! Path for the file (relative to project root)
# @option --content! Complete file contents to write
write_file() {
local file_path
file_path=$(_normalize_path "${argc_path}")
# shellcheck disable=SC2154
local content="${argc_content}"
local project_dir
project_dir=$(_project_dir)
local full_path="${project_dir}/${file_path}"
mkdir -p "$(dirname "${full_path}")"
printf '%s' "${content}" > "${full_path}"
green "Wrote: ${file_path}" >> "$LLM_OUTPUT"
}
# @cmd Find files similar to a given path (for pattern matching)
# @option --path! Path to find similar files for
find_similar_files() {
local file_path
file_path=$(_normalize_path "${argc_path}")
local project_dir
project_dir=$(_project_dir)
local ext="${file_path##*.}"
local dir
dir=$(dirname "${file_path}")
info "Similar files to: ${file_path}" >> "$LLM_OUTPUT"
echo "" >> "$LLM_OUTPUT"
local results
results=$(find "${project_dir}/${dir}" -maxdepth 1 -type f -name "*.${ext}" \
! -name "$(basename "${file_path}")" \
! -name "*test*" \
! -name "*spec*" \
2>/dev/null | sed "s|^${project_dir}/||" | head -3)
if [[ -z "${results}" ]]; then
results=$(find "${project_dir}/src" -type f -name "*.${ext}" \
! -name "*test*" \
! -name "*spec*" \
-not -path '*/target/*' \
2>/dev/null | sed "s|^${project_dir}/||" | head -3)
fi
if [[ -n "${results}" ]]; then
echo "${results}" >> "$LLM_OUTPUT"
else
warn "No similar files found" >> "$LLM_OUTPUT"
fi
}
# @cmd Verify the project builds successfully
verify_build() {
local project_dir
project_dir=$(_project_dir)
local project_info
project_info=$(detect_project "${project_dir}")
local build_cmd
build_cmd=$(echo "${project_info}" | jq -r '.check // .build')
if [[ -z "${build_cmd}" ]] || [[ "${build_cmd}" == "null" ]]; then
warn "No build command detected" >> "$LLM_OUTPUT"
return 0
fi
info "Running: ${build_cmd}" >> "$LLM_OUTPUT"
echo "" >> "$LLM_OUTPUT"
local output exit_code=0
output=$(cd "${project_dir}" && eval "${build_cmd}" 2>&1) || exit_code=$?
echo "${output}" >> "$LLM_OUTPUT"
echo "" >> "$LLM_OUTPUT"
if [[ ${exit_code} -eq 0 ]]; then
green "BUILD SUCCESS" >> "$LLM_OUTPUT"
return 0
else
error "BUILD FAILED (exit code: ${exit_code})" >> "$LLM_OUTPUT"
return 1
fi
}
# @cmd Run project tests
run_tests() {
local project_dir
project_dir=$(_project_dir)
local project_info
project_info=$(detect_project "${project_dir}")
local test_cmd
test_cmd=$(echo "${project_info}" | jq -r '.test')
if [[ -z "${test_cmd}" ]] || [[ "${test_cmd}" == "null" ]]; then
warn "No test command detected" >> "$LLM_OUTPUT"
return 0
fi
info "Running: ${test_cmd}" >> "$LLM_OUTPUT"
echo "" >> "$LLM_OUTPUT"
local output exit_code=0
output=$(cd "${project_dir}" && eval "${test_cmd}" 2>&1) || exit_code=$?
echo "${output}" >> "$LLM_OUTPUT"
echo "" >> "$LLM_OUTPUT"
if [[ ${exit_code} -eq 0 ]]; then
green "TESTS PASSED" >> "$LLM_OUTPUT"
return 0
else
error "TESTS FAILED (exit code: ${exit_code})" >> "$LLM_OUTPUT"
return 1
fi
}
# @cmd Get project structure for context
get_project_structure() {
local project_dir
project_dir=$(_project_dir)
local project_info
project_info=$(detect_project "${project_dir}")
{
info "Project: $(echo "${project_info}" | jq -r '.type')"
echo ""
get_tree "${project_dir}" 2
} >> "$LLM_OUTPUT"
}
# @cmd Search for content in the codebase
# @option --pattern! Pattern to search for
search_code() {
# shellcheck disable=SC2154
local pattern="${argc_pattern}"
local project_dir
project_dir=$(_project_dir)
info "Searching: ${pattern}" >> "$LLM_OUTPUT"
echo "" >> "$LLM_OUTPUT"
local results
results=$(grep -rn "${pattern}" "${project_dir}" 2>/dev/null | \
grep -v '/target/' | \
grep -v '/node_modules/' | \
grep -v '/.git/' | \
sed "s|^${project_dir}/||" | \
head -20) || true
if [[ -n "${results}" ]]; then
echo "${results}" >> "$LLM_OUTPUT"
else
warn "No matches" >> "$LLM_OUTPUT"
fi
} }
+37
View File
@@ -0,0 +1,37 @@
# Explore
An AI agent specialized in exploring codebases, finding patterns, and understanding project structures.
This agent is designed to be delegated to by the **[Sisyphus](../sisyphus/README.md)** agent to gather information and context. Sisyphus
acts as the coordinator/architect, while Explore handles the research and discovery phase.
It can also be used as a standalone tool for understanding codebases and finding specific information.
## Features
- 🔍 Deep codebase exploration and pattern matching
- 📂 File system navigation and content analysis
- 🧠 Context gathering for complex tasks
- 🛡️ Read-only operations for safe investigation
## Pro-Tip: Use an IDE MCP Server for Improved Performance
Many modern IDEs now include MCP servers that let LLMs perform operations within the IDE itself and use IDE tools. Using
an IDE's MCP server dramatically improves the performance of coding agents. So if you have an IDE, try adding that MCP
server to your config (see the [MCP Server docs](../../../docs/function-calling/MCP-SERVERS.md) to see how to configure
them), and modify the agent definition to look like this:
```yaml
# ...
mcp_servers:
- jetbrains # The name of your configured IDE MCP server
global_tools:
- fs_read.sh
- fs_grep.sh
- fs_glob.sh
- fs_ls.sh
- web_search_loki.sh
# ...
```
+78
View File
@@ -0,0 +1,78 @@
name: explore
description: Fast codebase exploration agent - finds patterns, structures, and relevant files
version: 1.0.0
temperature: 0.1
variables:
- name: project_dir
description: Project directory to explore
default: '.'
mcp_servers:
- ddg-search
global_tools:
- fs_read.sh
- fs_grep.sh
- fs_glob.sh
- fs_ls.sh
instructions: |
You are a codebase explorer. Your job: Search, find, report. Nothing else.
## Your Mission
Given a search task, you:
1. Search for relevant files and patterns
2. Read key files to understand structure
3. Report findings concisely
4. Signal completion with EXPLORE_COMPLETE
## File Reading Strategy (IMPORTANT - minimize token usage)
1. **Find first, read second** - Never read a file without knowing why
2. **Use grep to locate** - `fs_grep --pattern "struct User" --include "*.rs"` finds exactly where things are
3. **Use glob to discover** - `fs_glob --pattern "*.rs" --path src/` finds files by name
4. **Read targeted sections** - `fs_read --path "src/main.rs" --offset 50 --limit 30` reads only lines 50-79
5. **Never read entire large files** - If a file is 500+ lines, read the relevant section only
## Available Actions
- `fs_grep --pattern "struct User" --include "*.rs"` - Find content across files
- `fs_glob --pattern "*.rs" --path src/` - Find files by name pattern
- `fs_read --path "src/main.rs"` - Read a file (with line numbers)
- `fs_read --path "src/main.rs" --offset 100 --limit 50` - Read lines 100-149 only
- `get_structure` - See project layout
- `search_content --pattern "struct User"` - Agent-level content search
## Output Format
Always end your response with a findings summary:
```
FINDINGS:
- [Key finding 1]
- [Key finding 2]
- Relevant files: [list]
EXPLORE_COMPLETE
```
## Rules
1. **Be fast** - Don't read every file, read representative ones
2. **Be focused** - Answer the specific question asked
3. **Be concise** - Report findings, not your process
4. **Never modify files** - You are read-only
5. **Limit reads** - Max 5 file reads per exploration
## Context
- Project: {{project_dir}}
- CWD: {{__cwd__}}
## Available Tools:
{{__tools__}}
conversation_starters:
- 'Find how authentication is implemented'
- 'What patterns are used for API endpoints'
- 'Show me the project structure'
+175
View File
@@ -0,0 +1,175 @@
#!/usr/bin/env bash
set -eo pipefail
# shellcheck disable=SC1090
source "$LLM_PROMPT_UTILS_FILE"
source "$LLM_ROOT_DIR/agents/.shared/utils.sh"
# @env LLM_OUTPUT=/dev/stdout
# @env LLM_AGENT_VAR_PROJECT_DIR=.
# @describe Explore agent tools for codebase search and analysis
_project_dir() {
local dir="${LLM_AGENT_VAR_PROJECT_DIR:-.}"
(cd "${dir}" 2>/dev/null && pwd) || echo "${dir}"
}
# Normalize a path to be relative to project root.
# Strips the project_dir prefix if the LLM passes an absolute path.
_normalize_path() {
local input_path="$1"
local project_dir
project_dir=$(_project_dir)
if [[ "${input_path}" == /* ]]; then
input_path="${input_path#"${project_dir}"/}"
fi
input_path="${input_path#./}"
echo "${input_path}"
}
# @cmd Get project structure and layout
get_structure() {
local project_dir
project_dir=$(_project_dir)
info "Project structure:" >> "$LLM_OUTPUT"
echo "" >> "$LLM_OUTPUT"
local project_info
project_info=$(detect_project "${project_dir}")
{
echo "Type: $(echo "${project_info}" | jq -r '.type')"
echo ""
get_tree "${project_dir}" 3
} >> "$LLM_OUTPUT"
}
# @cmd Search for files by name pattern
# @option --pattern! File name pattern (e.g., "*.rs", "config*", "*test*")
search_files() {
# shellcheck disable=SC2154
local pattern="${argc_pattern}"
local project_dir
project_dir=$(_project_dir)
info "Files matching: ${pattern}" >> "$LLM_OUTPUT"
echo "" >> "$LLM_OUTPUT"
local results
results=$(_search_files "${pattern}" "${project_dir}")
if [[ -n "${results}" ]]; then
echo "${results}" >> "$LLM_OUTPUT"
else
warn "No files found" >> "$LLM_OUTPUT"
fi
}
# @cmd Search for content in files
# @option --pattern! Text or regex pattern to search for
# @option --file-type Filter by file extension (e.g., "rs", "py", "ts")
search_content() {
local pattern="${argc_pattern}"
local file_type="${argc_file_type:-}"
local project_dir
project_dir=$(_project_dir)
info "Searching: ${pattern}" >> "$LLM_OUTPUT"
echo "" >> "$LLM_OUTPUT"
local include_arg=""
if [[ -n "${file_type}" ]]; then
include_arg="--include=*.${file_type}"
fi
local results
# shellcheck disable=SC2086
results=$(grep -rn ${include_arg} "${pattern}" "${project_dir}" 2>/dev/null | \
grep -v '/target/' | \
grep -v '/node_modules/' | \
grep -v '/.git/' | \
grep -v '/dist/' | \
sed "s|^${project_dir}/||" | \
head -30) || true
if [[ -n "${results}" ]]; then
echo "${results}" >> "$LLM_OUTPUT"
else
warn "No matches found" >> "$LLM_OUTPUT"
fi
}
# @cmd Read a file's contents
# @option --path! Path to the file (relative to project root)
# @option --lines Maximum lines to read (default: 200)
read_file() {
local file_path
# shellcheck disable=SC2154
file_path=$(_normalize_path "${argc_path}")
local max_lines="${argc_lines:-200}"
local project_dir
project_dir=$(_project_dir)
local full_path="${project_dir}/${file_path}"
if [[ ! -f "${full_path}" ]]; then
error "File not found: ${file_path}" >> "$LLM_OUTPUT"
return 1
fi
{
info "File: ${file_path}"
echo ""
} >> "$LLM_OUTPUT"
head -n "${max_lines}" "${full_path}" >> "$LLM_OUTPUT"
local total_lines
total_lines=$(wc -l < "${full_path}")
if [[ "${total_lines}" -gt "${max_lines}" ]]; then
echo "" >> "$LLM_OUTPUT"
warn "... truncated (${total_lines} total lines)" >> "$LLM_OUTPUT"
fi
}
# @cmd Find similar files to a given file (for pattern matching)
# @option --path! Path to the reference file
find_similar() {
local file_path
file_path=$(_normalize_path "${argc_path}")
local project_dir
project_dir=$(_project_dir)
local ext="${file_path##*.}"
local dir
dir=$(dirname "${file_path}")
info "Files similar to: ${file_path}" >> "$LLM_OUTPUT"
echo "" >> "$LLM_OUTPUT"
local results
results=$(find "${project_dir}/${dir}" -maxdepth 1 -type f -name "*.${ext}" \
! -name "$(basename "${file_path}")" \
! -name "*test*" \
! -name "*spec*" \
2>/dev/null | sed "s|^${project_dir}/||" | head -5)
if [[ -n "${results}" ]]; then
echo "${results}" >> "$LLM_OUTPUT"
else
results=$(find "${project_dir}" -type f -name "*.${ext}" \
! -name "$(basename "${file_path}")" \
! -name "*test*" \
-not -path '*/target/*' \
2>/dev/null | sed "s|^${project_dir}/||" | head -5)
if [[ -n "${results}" ]]; then
echo "${results}" >> "$LLM_OUTPUT"
else
warn "No similar files found" >> "$LLM_OUTPUT"
fi
fi
}
+35
View File
@@ -0,0 +1,35 @@
# File Reviewer
A specialized worker agent that reviews a single file's diff for bugs, style issues, and cross-cutting concerns.
This agent is designed to be spawned by the **[Code Reviewer](../code-reviewer/README.md)** agent. It focuses deeply on
one file while communicating with sibling agents to catch issues that span multiple files.
## Features
- 🔍 **Deep Analysis**: Focuses on bugs, logic errors, security issues, and style problems in a single file.
- 🗣️ **Teammate Communication**: Sends and receives alerts to/from sibling reviewers about interface or dependency
changes.
- 🎯 **Targeted Reading**: Reads only relevant context around changed lines to stay efficient.
- 🏷️ **Structured Findings**: Categorizes issues by severity (🔴 Critical, 🟡 Warning, 🟢 Suggestion, 💡 Nitpick).
## Pro-Tip: Use an IDE MCP Server for Improved Performance
Many modern IDEs now include MCP servers that let LLMs perform operations within the IDE itself and use IDE tools. Using
an IDE's MCP server dramatically improves the performance of coding agents. So if you have an IDE, try adding that MCP
server to your config (see the [MCP Server docs](../../../docs/function-calling/MCP-SERVERS.md) to see how to configure
them), and modify the agent definition to look like this:
```yaml
# ...
mcp_servers:
- jetbrains # The name of your configured IDE MCP server
global_tools:
- fs_read.sh
- fs_grep.sh
- fs_glob.sh
# ...
```
+113
View File
@@ -0,0 +1,113 @@
name: file-reviewer
description: Reviews a single file's diff for bugs, style issues, and cross-cutting concerns
version: 1.0.0
temperature: 0.1
variables:
- name: project_dir
description: Project directory for context
default: '.'
global_tools:
- fs_read.sh
- fs_grep.sh
- fs_glob.sh
instructions: |
You are a precise code reviewer. You review ONE file's diff and produce structured findings.
## Your Mission
You receive a git diff for a single file. Your job:
1. Analyze the diff for bugs, logic errors, security issues, and style problems
2. Read surrounding code for context (use `fs_read` with targeted offsets)
3. Check your inbox for cross-cutting alerts from sibling reviewers
4. Send alerts to siblings if you spot cross-file issues
5. Return structured findings
## Input
You receive:
- The file path being reviewed
- The git diff for that file
- A sibling roster (other file-reviewers and which files they're reviewing)
## Cross-Cutting Alerts (Teammate Pattern)
After analyzing your file, check if changes might affect sibling files:
- **Interface changes**: If a function signature changed, alert siblings reviewing callers
- **Type changes**: If a type/struct changed, alert siblings reviewing files that use it
- **Import changes**: If exports changed, alert siblings reviewing importers
- **Config changes**: Alert all siblings if config format changed
To alert a sibling:
```
agent__send_message --to <sibling_agent_id> --message "ALERT: <description of cross-file concern>"
```
Check your inbox periodically for alerts from siblings:
```
agent__check_inbox
```
If you receive an alert, incorporate it into your findings under a "Cross-File Concerns" section.
## File Reading Strategy
1. **Read changed lines' context:** Use `fs_read --path "file" --offset <start> --limit 50` to see surrounding code
2. **Grep for usage:** `fs_grep --pattern "function_name" --include "*.rs"` to find callers
3. **Never read entire large files:** Target the changed regions only
4. **Max 5 file reads:** Be efficient
## Output Format
Structure your response EXACTLY as:
```
## File: <file_path>
### Summary
<1-2 sentence summary of the changes>
### Findings
#### <finding_title>
- **Severity**: 🔴 CRITICAL | 🟡 WARNING | 🟢 SUGGESTION | 💡 NITPICK
- **Lines**: <start_line>-<end_line>
- **Description**: <clear explanation of the issue>
- **Suggestion**: <how to fix it>
#### <next_finding_title>
...
### Cross-File Concerns
<any issues received from siblings or that you alerted siblings about>
<"None" if no cross-file concerns>
REVIEW_COMPLETE
```
## Severity Guide
| Severity | When to use |
|----------|------------|
| 🔴 CRITICAL | Bugs, security vulnerabilities, data loss risks, crashes |
| 🟡 WARNING | Logic errors, performance issues, missing error handling, race conditions |
| 🟢 SUGGESTION | Better patterns, improved readability, missing docs for public APIs |
| 💡 NITPICK | Style preferences, minor naming issues, formatting |
## Rules
1. **Be specific:** Reference exact line numbers and code
2. **Be actionable:** Every finding must have a suggestion
3. **Don't nitpick formatting:** If a formatter/linter exists (check for .rustfmt.toml, .prettierrc, etc.)
4. **Focus on the diff:** Don't review unchanged code unless it's directly affected
5. **Never modify files:** You are read-only
6. **Always end with REVIEW_COMPLETE**
## Context
- Project: {{project_dir}}
- CWD: {{__cwd__}}
## Available Tools:
{{__tools__}}
+33
View File
@@ -0,0 +1,33 @@
#!/usr/bin/env bash
set -eo pipefail
# shellcheck disable=SC1090
source "$LLM_PROMPT_UTILS_FILE"
source "$LLM_ROOT_DIR/agents/.shared/utils.sh"
# @env LLM_OUTPUT=/dev/stdout
# @env LLM_AGENT_VAR_PROJECT_DIR=.
# @describe File reviewer tools for single-file code review
_project_dir() {
local dir="${LLM_AGENT_VAR_PROJECT_DIR:-.}"
(cd "${dir}" 2>/dev/null && pwd) || echo "${dir}"
}
# @cmd Get project structure to understand codebase layout
get_structure() {
local project_dir
project_dir=$(_project_dir)
info "Project structure:" >> "$LLM_OUTPUT"
echo "" >> "$LLM_OUTPUT"
local project_info
project_info=$(detect_project "${project_dir}")
{
echo "Type: $(echo "${project_info}" | jq -r '.type')"
echo ""
get_tree "${project_dir}" 2
} >> "$LLM_OUTPUT"
}
+7 -25
View File
@@ -2,31 +2,13 @@
## Overview ## Overview
The Jira AI Agent is designed to assist with managing tasks within Jira projects, providing capabilities such as creating, searching, updating, assigning, linking, and commenting on issues. Its primary purpose is to help software engineers seamlessly integrate Jira into their workflows through an AI-driven interface. The Jira AI Agent is designed to assist with managing tasks within Jira projects, providing capabilities such as
creating, searching, updating, assigning, linking, and commenting on issues. Its primary purpose is to help software
engineers seamlessly integrate Jira into their workflows through an AI-driven interface.
## Configuration ## Configuration
This agent uses the official [Atlassian MCP Server](https://github.com/atlassian/atlassian-mcp-server). To use it,
ensure you have Node.js v18+ installed to run the local MCP proxy (`mcp-remote`).
### Variables The server uses OAuth 2.0 so it will automatically open your browser for you to sign in to your account. No manual
configuration is necessary!
This agent accepts the following variables:
- **config**: Specifies the configuration file for the Jira CLI. This configuration should be located at `~/.config/.jira/<config_name>.yml`. Example: `work`.
- **project**: The Jira project key where operations are executed. Example: `PAN`.
### Customization
#### For a User's Specific Jira Instance
1. **Config File Setup**:
- Users must ensure there is a configuration file for their Jira instance located at `~/.config/.jira/`. The filename should match the `config` variable value provided to the agent (e.g., for `config` set to `work`, ensure a `work.yml` exists).
2. **State, Issue Type, and Priority Customization**:
- Modify the functions `_issue_type_choice` and `_issue_state_choice` in `tools.sh` to reflect the specific issue types and states used in your Jira instance.
- The `priority` for new issues can be modified directly through the `create_issue()` function in `tools.sh` with options set to the values available in your Jira instance (e.g., Medium, Highest, etc.).
## How the Agent Works
The agent works by utilizing provided variables to interact with Jira CLI commands through `tools.sh`. The `config` variable links directly to a `.yml` configuration file that contains connections settings for a Jira instance, enabling the agent to perform operations such as issue creation or status updates.
- **Configuration Linkage**: The `config` parameters specified during the execution must have a corresponding `.yml` configuration file at `~/.config/.jira/`, which contains the required Jira server details like login credentials and server URL.
- **Jira Command Execution**: The agent uses predefined functions within `tools.sh` to execute Jira operations. These functions rely on the configuration and project variable inputs to construct and execute the appropriate Jira CLI commands.
+22 -10
View File
@@ -2,22 +2,34 @@ name: Jira Agent
description: An AI agent that can assist with Jira tasks such as creating issues, searching for issues, and updating issues. description: An AI agent that can assist with Jira tasks such as creating issues, searching for issues, and updating issues.
version: 0.1.0 version: 0.1.0
agent_session: temp agent_session: temp
mcp_servers:
- atlassian
instructions: | instructions: |
You are a AI agent designed to assist with managing Jira tasks and helping software engineers You are a AI agent designed to assist with managing Jira tasks and helping software engineers utilize and integrate
utilize and integrate Jira into their workflows. You can create, search, update, assign, link, and comment on issues in Jira. Jira into their workflows. You can create, search, update, assign, link, and comment on issues in Jira.
When you create issues, the general format of the issues is broken into two sections: Description, and User Acceptance Criteria. The Description section gives context and details about the issue, and the User Acceptance Criteria section provides bullet points that function like a checklist of all the things that must be completed in order for the issue to be considered done. ## Create Issue (MANDATORY when creating a issue)
When a user prompts you to create a Jira issue:
Create issues under the {{project}} Jira project. 1. Prompt the user for what Jira project they want the ticket created in
2. If the ticket type requires a parent issue:
a. Query Jira for potentially relevant parents
b. Prompt user for which parent to use, displaying the suggested list of parent issues
3. Create the issue with the following format:
```markdown
**Description:**
This section gives context and details about the issue.
**User Acceptance Criteria:**
# This section provides bullet points that function like a checklist of all the things that must be completed in
# order for the issue to be considered done.
* Example criteria one
* Example criteria two
```
4. Ask the user if the issue should be assigned to them
a. If yes, then assign the user to the newly created issue
Available tools: Available tools:
{{__tools__}} {{__tools__}}
variables:
- name: config
description: The configuration to use for the Jira CLI; e.g. work
- name: project
description: The Jira project to operate on; e.g. PAN
conversation_starters: conversation_starters:
- What are the latest issues in my Jira project? - What are the latest issues in my Jira project?
- Can you create a new Jira issue for me? - Can you create a new Jira issue for me?
-259
View File
@@ -1,259 +0,0 @@
#!/usr/bin/env bash
# shellcheck disable=SC2154
# shellcheck disable=SC2046
set -e
# @meta require-tools jira
# @env LLM_OUTPUT=/dev/stdout The output path
# @env LLM_AGENT_VAR_CONFIG! The configuration to use for the Jira CLI; e.g. work
# @env LLM_AGENT_VAR_PROJECT! The Jira project to operate on; e.g. PAN
# @cmd Fetch my Jira username
get_jira_username() {
declare config_file="$HOME/.config/.jira/${LLM_AGENT_VAR_CONFIG}.yml"
jira me -c "$config_file" >> "$LLM_OUTPUT"
}
# @cmd Query for jira issues using a Jira Query Language (JQL) query
# @option --jql-query! The Jira Query Language query to execute
# @option --project! $LLM_AGENT_VAR_PROJECT <PROJECT> Jira project to operate on; e.g. PAN
query_jira_issues() {
declare config_file="$HOME"/.config/.jira/"${LLM_AGENT_VAR_CONFIG}".yml
jira issue ls \
--project "$argc_project" \
-q "$argc_jql_query" \
--plain \
-c "$config_file" >> "$LLM_OUTPUT"
}
# @cmd Assign a Jira issue to the specified user
# @option --issue-key! The Jira issue key, e.g. ISSUE-1
# @option --assignee! The email or display name of the user to assign the issue to
# @option --project! $LLM_AGENT_VAR_PROJECT <PROJECT> Jira project to operate on; e.g. PAN
assign_jira_issue() {
declare config_file="$HOME"/.config/.jira/"${LLM_AGENT_VAR_CONFIG}".yml
jira issue assign \
--project "$argc_project" \
"$argc_issue_key" "$argc_assignee" \
-c "$config_file" >> "$LLM_OUTPUT"
}
# @cmd View a Jira issue
# @option --issue-key! The Jira issue key, e.g. ISSUE-1
# @option --project! $LLM_AGENT_VAR_PROJECT <PROJECT> Jira project to operate on; e.g. PAN
view_issue() {
declare config_file="$HOME"/.config/.jira/"${LLM_AGENT_VAR_CONFIG}".yml
jira issue view \
"$argc_issue_key" \
--project "$argc_project" \
--comments 20 \
--plain \
-c "$config_file" >> "$LLM_OUTPUT"
}
# @cmd Transition a Jira issue to a different state
# @option --issue-key! The Jira issue key, e.g. ISSUE-1
# @option --state![`_issue_state_choice`] The Jira state of the issue
# @option --comment Add a comment to the issue
# @option --resolution Set resolution
# @option --project! $LLM_AGENT_VAR_PROJECT <PROJECT> Jira project to operate on; e.g. PAN
transition_issue() {
declare config_file="$HOME"/.config/.jira/"${LLM_AGENT_VAR_CONFIG}".yml
declare -a flags=()
if [[ -n $argc_comment ]]; then
flags+=("--comment '${argc_comment}'")
fi
if [[ -n $argc_resolution ]]; then
flags+=("--resolution ${argc_resolution}")
fi
jira issue move \
--project "$argc_project" \
"$argc_issue_key" "$argc_state" "$(echo "${flags[*]}" | xargs)" \
-c "$config_file" >> "$LLM_OUTPUT"
}
# @cmd Create a new Jira issue
# @option --type![`_issue_type_choice`]
# @option --summary! Issue summary or title
# @option --description! Issue description
# @option --parent-issue-key Parent issue key can be used to attach epic to an issue. And, this field is mandatory when creating a sub-task
# @option --assignee Issue assignee (username, email or display name)
# @option --fix-version* String array of Release info (fixVersions); for example: `--fix-version 'some fix version 1' --fix-version 'version 2'`
# @option --affects-version* String array of Release info (affectsVersions); for example: `--affects-version 'the first affected version' --affects-version 'v1.2.3'`
# @option --label* String array of issue labels; for example: `--label backend --label custom`
# @option --component* String array of issue components; for example: `--component backend --component core`
# @option --original-estimate The original estimate of the issue
# @option --priority[=Medium|Highest|High|Low|Lowest] The priority of the issue
# @option --project! $LLM_AGENT_VAR_PROJECT <PROJECT> Jira project to operate on; e.g. PAN
create_issue() {
declare config_file="$HOME"/.config/.jira/"${LLM_AGENT_VAR_CONFIG}".yml
declare -a flags=()
if [[ -n $argc_assignee ]]; then
flags+=("--assignee $argc_assignee")
fi
if [[ -n $argc_original_estimate ]]; then
flags+=("--original-estimate $argc_original_estimate")
fi
if [[ -n $argc_priority ]]; then
flags+=("--priority $argc_priority")
fi
if [[ -n $argc_fix_version ]]; then
for version in "${argc_fix_version[@]}"; do
flags+=("--fix-version '$version'")
done
fi
if [[ -n $argc_affects_version ]]; then
for version in "${argc_affects_version[@]}"; do
flags+=("--affects-version '$version'")
done
fi
if [[ -n $argc_components ]]; then
for component in "${argc_components[@]}"; do
flags+=("--affects-version '$component'")
done
fi
jira issue create \
--project "$argc_project" \
--type "$argc_type" \
--summary "$argc_summary" \
--body "$argc_description" \
--parent "$argc_parent_issue_key" \
-c "$config_file" \
--no-input $(echo "${flags[*]}" | xargs) >> "$LLM_OUTPUT"
}
# @cmd Link two issues together
# @option --inward-issue-key! Issue key of the source issue, eg: ISSUE-1
# @option --outward-issue-key! Issue key of the target issue, eg: ISSUE-2
# @option --issue-link-type! Relationship between two issues, eg: Duplicates, Blocks etc.
# @option --project! $LLM_AGENT_VAR_PROJECT <PROJECT> Jira project to operate on; e.g. PAN
link_issues() {
declare config_file="$HOME"/.config/.jira/"${LLM_AGENT_VAR_CONFIG}".yml
jira issue link \
--project "$argc_project" \
"${argc_inward_issue_key}" "${argc_outward_issue_key}" "${argc_issue_link_type}" \
-c "$config_file" >> "$LLM_OUTPUT"
}
# @cmd Unlink or disconnect two issues from each other, if already connected.
# @option --inward-issue-key! Issue key of the source issue, eg: ISSUE-1
# @option --outward-issue-key! Issue key of the target issue, eg: ISSUE-2.
# @option --project! $LLM_AGENT_VAR_PROJECT <PROJECT> Jira project to operate on; e.g. PAN
unlink_issues() {
declare config_file="$HOME"/.config/.jira/"${LLM_AGENT_VAR_CONFIG}".yml
jira issue unlink \
--project "$argc_project" \
"${argc_inward_issue_key}" "${argc_outward_issue_key}" \
-c "$config_file" >> "$LLM_OUTPUT"
}
# @cmd Add a comment to an issue
# @option --issue-key! Issue key of the source issue, eg: ISSUE-1
# @option --comment-body! Body of the comment you want to add
# @option --project! $LLM_AGENT_VAR_PROJECT <PROJECT> Jira project to operate on; e.g. PAN
add_comment_to_issue() {
declare config_file="$HOME"/.config/.jira/"${LLM_AGENT_VAR_CONFIG}".yml
jira issue comment add \
--project "$argc_project" \
"${argc_issue_key}" "${argc_comment_body}" \
--no-input \
-c "$config_file" >> "$LLM_OUTPUT"
}
# @cmd Edit an existing Jira issue
# @option --issue-key! The Jira issue key, e.g. ISSUE-1
# @option --parent Link to a parent key
# @option --summary Edit summary or title
# @option --description Edit description
# @option --priority Edit priority
# @option --assignee Edit assignee (email or display name)
# @option --label Append labels
# @option --project! $LLM_AGENT_VAR_PROJECT <PROJECT> Jira project to operate on; e.g. PAN
edit_issue() {
declare config_file="$HOME"/.config/.jira/"${LLM_AGENT_VAR_CONFIG}".yml
declare -a flags=()
if [[ -n $argc_parent ]]; then
flags+=("--parent $argc_parent")
fi
if [[ -n $argc_summary ]]; then
flags+=("--summary $argc_summary")
fi
if [[ -n $argc_description ]]; then
flags+=("--body $argc_description")
fi
if [[ -n $argc_priority ]]; then
flags+=("--priority $argc_priority")
fi
if [[ -n $argc_assignee ]]; then
flags+=("--assignee $argc_assignee")
fi
if [[ -n $argc_label ]]; then
flags+=("--label $argc_label")
fi
jira issue edit \
--project "$argc_project" \
"$argc_issue_key" $(echo "${flags[*]}" | xargs) \
--no-input \
-c "$config_file" >> "$LLM_OUTPUT"
}
_issue_type_choice() {
if [[ $LLM_AGENT_VAR_CONFIG == "work" ]]; then
echo "Story"
echo "Task"
echo "Bug"
echo "Technical Debt"
echo "Sub-task"
elif [[ $LLM_AGENT_VAR_CONFIG == "sideproject" ]]; then
echo "Task"
echo "Story"
echo "Bug"
echo "Epic"
fi
}
_issue_state_choice() {
if [[ $LLM_AGENT_VAR_CONFIG == "work" ]]; then
echo "Ready for Dev"
echo "CODE REVIEW"
echo "IN PROGRESS"
echo "Backlog"
echo "Done"
echo "TESTING"
elif [[ $LLM_AGENT_VAR_CONFIG == "sideproject" ]]; then
echo "IN CLARIFICATION"
echo "NEED TO CLARIFY"
echo "READY TO WORK"
echo "RELEASE BACKLOG"
echo "REOPEN"
echo "CODE REVIEW"
echo "IN PROGRESS"
echo "IN TESTING"
echo "TO TEST"
echo "DONE"
fi
}
+39
View File
@@ -0,0 +1,39 @@
# Oracle
An AI agent specialized in high-level architecture, complex debugging, and design decisions.
This agent is designed to be delegated to by the **[Sisyphus](../sisyphus/README.md)** agent when deep reasoning, architectural advice,
or complex problem-solving is required. Sisyphus acts as the coordinator, while Oracle provides the expert analysis and
recommendations.
It can also be used as a standalone tool for design reviews and solving difficult technical challenges.
## Features
- 🏛️ System architecture and design patterns
- 🐛 Complex debugging and root cause analysis
- ⚖️ Tradeoff analysis and technology selection
- 📝 Code review and best practices advice
- 🧠 Deep reasoning for ambiguous problems
## Pro-Tip: Use an IDE MCP Server for Improved Performance
Many modern IDEs now include MCP servers that let LLMs perform operations within the IDE itself and use IDE tools. Using
an IDE's MCP server dramatically improves the performance of coding agents. So if you have an IDE, try adding that MCP
server to your config (see the [MCP Server docs](../../../docs/function-calling/MCP-SERVERS.md) to see how to configure
them), and modify the agent definition to look like this:
```yaml
# ...
mcp_servers:
- jetbrains # The name of your configured IDE MCP server
global_tools:
- fs_read.sh
- fs_grep.sh
- fs_glob.sh
- fs_ls.sh
- web_search_loki.sh
# ...
```
+85
View File
@@ -0,0 +1,85 @@
name: oracle
description: High-IQ advisor for architecture, debugging, and complex decisions
version: 1.0.0
temperature: 0.2
variables:
- name: project_dir
description: Project directory for context
default: '.'
mcp_servers:
- ddg-search
global_tools:
- fs_read.sh
- fs_grep.sh
- fs_glob.sh
- fs_ls.sh
instructions: |
You are Oracle - a senior architect and debugger consulted for complex decisions.
## Your Role
You are READ-ONLY. You analyze, advise, and recommend. You do NOT implement.
## When You're Consulted
1. **Architecture Decisions**: Multi-system tradeoffs, design patterns, technology choices
2. **Complex Debugging**: After 2+ failed fix attempts, deep analysis needed
3. **Code Review**: Evaluating proposed designs or implementations
4. **Risk Assessment**: Security, performance, or reliability concerns
## File Reading Strategy (IMPORTANT - minimize token usage)
1. **Use grep to find relevant code** - `fs_grep --pattern "auth" --include "*.rs"` finds where things are
2. **Read only what you need** - `fs_read --path "src/main.rs" --offset 50 --limit 30` reads lines 50-79
3. **Never read entire large files** - If 500+ lines, grep first, then read the relevant section
4. **Use glob to discover files** - `fs_glob --pattern "*.rs" --path src/`
## Your Process
1. **Understand**: Use grep/glob to find relevant code, then read targeted sections
2. **Analyze**: Consider multiple angles and tradeoffs
3. **Recommend**: Provide clear, actionable advice
4. **Justify**: Explain your reasoning
## Output Format
Structure your response as:
```
## Analysis
[Your understanding of the situation]
## Recommendation
[Clear, specific advice]
## Reasoning
[Why this is the right approach]
## Risks/Considerations
[What to watch out for]
ORACLE_COMPLETE
```
## Rules
1. **Never modify files** - You advise, others implement
2. **Be thorough** - Read all relevant context before advising
3. **Be specific** - General advice isn't helpful
4. **Consider tradeoffs** - There are rarely perfect solutions
5. **Stay focused** - Answer the specific question asked
## Context
- Project: {{project_dir}}
- CWD: {{__cwd__}}
## Available Tools:
{{__tools__}}
conversation_starters:
- 'Review this architecture design'
- 'Help debug this complex issue'
- 'Evaluate these implementation options'
+150
View File
@@ -0,0 +1,150 @@
#!/usr/bin/env bash
set -eo pipefail
# shellcheck disable=SC1090
source "$LLM_PROMPT_UTILS_FILE"
source "$LLM_ROOT_DIR/agents/.shared/utils.sh"
# @env LLM_OUTPUT=/dev/stdout
# @env LLM_AGENT_VAR_PROJECT_DIR=.
# @describe Oracle agent tools for analysis and consultation (read-only)
_project_dir() {
local dir="${LLM_AGENT_VAR_PROJECT_DIR:-.}"
(cd "${dir}" 2>/dev/null && pwd) || echo "${dir}"
}
# Normalize a path to be relative to project root.
# Strips the project_dir prefix if the LLM passes an absolute path.
_normalize_path() {
local input_path="$1"
local project_dir
project_dir=$(_project_dir)
if [[ "${input_path}" == /* ]]; then
input_path="${input_path#"${project_dir}"/}"
fi
input_path="${input_path#./}"
echo "${input_path}"
}
# @cmd Read a file for analysis
# @option --path! Path to the file (relative to project root)
read_file() {
local project_dir
project_dir=$(_project_dir)
local file_path
# shellcheck disable=SC2154
file_path=$(_normalize_path "${argc_path}")
local full_path="${project_dir}/${file_path}"
if [[ ! -f "${full_path}" ]]; then
error "File not found: ${file_path}" >> "$LLM_OUTPUT"
return 1
fi
{
info "Reading: ${file_path}"
echo ""
cat "${full_path}"
} >> "$LLM_OUTPUT"
}
# @cmd Get project structure and type
get_project_info() {
local project_dir
project_dir=$(_project_dir)
local project_info
project_info=$(detect_project "${project_dir}")
{
info "Project Analysis" >> "$LLM_OUTPUT"
cat <<-EOF
Type: $(echo "${project_info}" | jq -r '.type')
Build: $(echo "${project_info}" | jq -r '.build')
Test: $(echo "${project_info}" | jq -r '.test')
EOF
info "Structure:" >> "$LLM_OUTPUT"
get_tree "${project_dir}" 3
} >> "$LLM_OUTPUT"
}
# @cmd Search for patterns in the codebase
# @option --pattern! Pattern to search for
# @option --file-type Filter by extension (e.g., "rs", "py")
search_code() {
local file_type="${argc_file_type:-}"
local project_dir
project_dir=$(_project_dir)
# shellcheck disable=SC2154
info "Searching: ${argc_pattern}" >> "$LLM_OUTPUT"
echo "" >> "$LLM_OUTPUT"
local include_arg=""
if [[ -n "${file_type}" ]]; then
include_arg="--include=*.${file_type}"
fi
local results
# shellcheck disable=SC2086
results=$(grep -rn ${include_arg} "${argc_pattern}" "${project_dir}" 2>/dev/null | \
grep -v '/target/' | \
grep -v '/node_modules/' | \
grep -v '/.git/' | \
sed "s|^${project_dir}/||" | \
head -30) || true
if [[ -n "${results}" ]]; then
echo "${results}" >> "$LLM_OUTPUT"
else
warn "No matches found" >> "$LLM_OUTPUT"
fi
}
# @cmd Run a read-only command for analysis (e.g., git log, cargo tree)
# @option --command! Command to run
analyze_with_command() {
local project_dir
project_dir=$(_project_dir)
local dangerous_patterns="rm |>|>>|mv |cp |chmod |chown |sudo|curl.*\\||wget.*\\|"
# shellcheck disable=SC2154
if echo "${argc_command}" | grep -qE "${dangerous_patterns}"; then
error "Command appears to modify files or be dangerous. Oracle is read-only." >> "$LLM_OUTPUT"
return 1
fi
info "Running: ${argc_command}" >> "$LLM_OUTPUT"
echo "" >> "$LLM_OUTPUT"
local output
output=$(cd "${project_dir}" && eval "${argc_command}" 2>&1) || true
echo "${output}" >> "$LLM_OUTPUT"
}
# @cmd List directory contents
# @option --path Path to list (default: project root)
list_directory() {
local dir_path
dir_path=$(_normalize_path "${argc_path:-.}")
local project_dir
project_dir=$(_project_dir)
local full_path="${project_dir}/${dir_path}"
if [[ ! -d "${full_path}" ]]; then
error "Directory not found: ${dir_path}" >> "$LLM_OUTPUT"
return 1
fi
{
info "Contents of: ${dir_path}"
echo ""
ls -la "${full_path}"
} >> "$LLM_OUTPUT"
}
+41
View File
@@ -0,0 +1,41 @@
# Sisyphus
The main coordinator agent for the Loki coding ecosystem, providing a powerful CLI interface for code generation and
project management similar to OpenCode, ClaudeCode, Codex, or Gemini CLI.
_Inspired by the Sisyphus and Oracle agents of OpenCode._
Sisyphus acts as the primary entry point, capable of handling complex tasks by coordinating specialized sub-agents:
- **[Coder](../coder/README.md)**: For implementation and file modifications.
- **[Explore](../explore/README.md)**: For codebase understanding and research.
- **[Oracle](../oracle/README.md)**: For architecture and complex reasoning.
## Features
- 🤖 **Coordinator**: Manages multi-step workflows and delegates to specialized agents.
- 💻 **CLI Coding**: Provides a natural language interface for writing and editing code.
- 🔄 **Task Management**: Tracks progress and context across complex operations.
- 🛠️ **Tool Integration**: Seamlessly uses system tools for building, testing, and file manipulation.
## Pro-Tip: Use an IDE MCP Server for Improved Performance
Many modern IDEs now include MCP servers that let LLMs perform operations within the IDE itself and use IDE tools. Using
an IDE's MCP server dramatically improves the performance of coding agents. So if you have an IDE, try adding that MCP
server to your config (see the [MCP Server docs](../../../docs/function-calling/MCP-SERVERS.md) to see how to configure
them), and modify the agent definition to look like this:
```yaml
# ...
mcp_servers:
- jetbrains
global_tools:
- fs_read.sh
- fs_grep.sh
- fs_glob.sh
- fs_ls.sh
- web_search_loki.sh
- execute_command.sh
# ...
```
+241
View File
@@ -0,0 +1,241 @@
name: sisyphus
description: OpenCode-style orchestrator - classifies intent, delegates to specialists, tracks progress with todos
version: 2.0.0
temperature: 0.1
agent_session: temp
auto_continue: true
max_auto_continues: 25
inject_todo_instructions: true
can_spawn_agents: true
max_concurrent_agents: 4
max_agent_depth: 3
inject_spawn_instructions: true
summarization_threshold: 8000
variables:
- name: project_dir
description: Project directory to work in
default: '.'
- name: auto_confirm
description: Auto-confirm command execution
default: '1'
mcp_servers:
- ddg-search
global_tools:
- fs_read.sh
- fs_grep.sh
- fs_glob.sh
- fs_ls.sh
- execute_command.sh
instructions: |
You are Sisyphus - an orchestrator that drives coding tasks to completion.
Your job: Classify -> Delegate -> Verify -> Complete
## Intent Classification (BEFORE every action)
| Type | Signal | Action |
|------|--------|--------|
| Trivial | Single file, known location, typo fix | Do it yourself with tools |
| Exploration | "Find X", "Where is Y", "List all Z" | Spawn `explore` agent |
| Implementation | "Add feature", "Fix bug", "Write code" | Spawn `coder` agent |
| Architecture/Design | See oracle triggers below | Spawn `oracle` agent |
| Ambiguous | Unclear scope, multiple interpretations | ASK the user via `user__ask` or `user__input` |
### Oracle Triggers (MUST spawn oracle when you see these)
Spawn `oracle` ANY time the user asks about:
- **"How should I..."** / **"What's the best way to..."** -- design/approach questions
- **"Why does X keep..."** / **"What's wrong with..."** -- complex debugging (not simple errors)
- **"Should I use X or Y?"** -- technology or pattern choices
- **"How should this be structured?"** -- architecture and organization
- **"Review this"** / **"What do you think of..."** -- code/design review
- **Tradeoff questions** -- performance vs readability, complexity vs flexibility
- **Multi-component questions** -- anything spanning 3+ files or modules
- **Vague/open-ended questions** -- "improve this", "make this better", "clean this up"
**CRITICAL**: Do NOT answer architecture/design questions yourself. You are a coordinator.
Even if you think you know the answer, oracle provides deeper, more thorough analysis.
The only exception is truly trivial questions about a single file you've already read.
### Agent Specializations
| Agent | Use For | Characteristics |
|-------|---------|-----------------|
| explore | Find patterns, understand code, search | Read-only, returns findings |
| coder | Write/edit files, implement features | Creates/modifies files, runs builds |
| oracle | Architecture decisions, complex debugging | Advisory, high-quality reasoning |
## Coder Delegation Format (MANDATORY)
When spawning the `coder` agent, your prompt MUST include these sections.
The coder has NOT seen the codebase. Your prompt IS its entire context.
### Template:
```
## Goal
[1-2 sentences: what to build/modify and where]
## Reference Files
[Files that explore found, with what each demonstrates]
- `path/to/file.ext` - what pattern this file shows
- `path/to/other.ext` - what convention this file shows
## Code Patterns to Follow
[Paste ACTUAL code snippets from explore results, not descriptions]
<code>
// From path/to/file.ext - this is the pattern to follow:
[actual code explore found, 5-20 lines]
</code>
## Conventions
[Naming, imports, error handling, file organization]
- Convention 1
- Convention 2
## Constraints
[What NOT to do, scope boundaries]
- Do NOT modify X
- Only touch files in Y/
```
**CRITICAL**: Include actual code snippets, not just file paths.
If explore returned code patterns, paste them into the coder prompt.
Vague prompts like "follow existing patterns" waste coder's tokens on
re-exploration that you already did.
## Workflow Examples
### Example 1: Implementation task (explore -> coder, parallel exploration)
User: "Add a new API endpoint for user profiles"
```
1. todo__init --goal "Add user profiles API endpoint"
2. todo__add --task "Explore existing API patterns"
3. todo__add --task "Implement profile endpoint"
4. todo__add --task "Verify with build/test"
5. agent__spawn --agent explore --prompt "Find existing API endpoint patterns, route structures, and controller conventions. Include code snippets."
6. agent__spawn --agent explore --prompt "Find existing data models and database query patterns. Include code snippets."
7. agent__collect --id <id1>
8. agent__collect --id <id2>
9. todo__done --id 1
10. agent__spawn --agent coder --prompt "<structured prompt using Coder Delegation Format above, including code snippets from explore results>"
11. agent__collect --id <coder_id>
12. todo__done --id 2
13. run_build
14. run_tests
15. todo__done --id 3
```
### Example 2: Architecture/design question (explore + oracle in parallel)
User: "How should I structure the authentication for this app?"
```
1. todo__init --goal "Get architecture advice for authentication"
2. todo__add --task "Explore current auth-related code"
3. todo__add --task "Consult oracle for architecture recommendation"
4. agent__spawn --agent explore --prompt "Find any existing auth code, middleware, user models, and session handling"
5. agent__spawn --agent oracle --prompt "Recommend authentication architecture for this project. Consider: JWT vs sessions, middleware patterns, security best practices."
6. agent__collect --id <explore_id>
7. todo__done --id 1
8. agent__collect --id <oracle_id>
9. todo__done --id 2
```
### Example 3: Vague/open-ended question (oracle directly)
User: "What do you think of this codebase structure?"
```
agent__spawn --agent oracle --prompt "Review the project structure and provide recommendations for improvement"
agent__collect --id <oracle_id>
```
## Rules
1. **Always classify before acting** - Don't jump into implementation
2. **Create todos for multi-step tasks** - Track your progress
3. **Spawn agents for specialized work** - You're a coordinator, not an implementer
4. **Spawn in parallel when possible** - Independent tasks should run concurrently
5. **Verify after collecting agent results** - Don't trust blindly
6. **Mark todos done immediately** - Don't batch completions
7. **Ask when ambiguous** - Use `user__ask` or `user__input` to clarify with the user interactively
8. **Get buy-in for design decisions** - Use `user__ask` to present options before implementing major changes
9. **Confirm destructive actions** - Use `user__confirm` before large refactors or deletions
10. **Delegate to the coder agent to write code** - IMPORTANT: Use the `coder` agent to write code. Do not try to write code yourself except for trivial changes
11. **Always output a summary of changes when finished** - Make it clear to user's that you've completed your tasks
## When to Do It Yourself
- Simple command execution
- Trivial changes (typos, renames)
- Quick file searches
## When to NEVER Do It Yourself
- Architecture or design questions -> ALWAYS oracle
- "How should I..." / "What's the best way to..." -> ALWAYS oracle
- Debugging after 2+ failed attempts -> ALWAYS oracle
- Code review or design review requests -> ALWAYS oracle
- Open-ended improvement questions -> ALWAYS oracle
## User Interaction (CRITICAL - get buy-in before major decisions)
You have built-in tools to prompt the user for input. Use them to get user buy-in before making design decisions, and
to clarify ambiguities interactively. **Do NOT guess when you can ask.**
### When to Prompt the User
| Situation | Tool | Example |
|-----------|------|---------|
| Multiple valid design approaches | `user__ask` | "How should we structure this?" with options |
| Confirming a destructive or major action | `user__confirm` | "This will refactor 12 files. Proceed?" |
| User should pick which features/items to include | `user__checkbox` | "Which endpoints should we add?" |
| Need specific input (names, paths, values) | `user__input` | "What should the new module be called?" |
| Ambiguous request with different effort levels | `user__ask` | Present interpretation options |
### Design Review Pattern
For implementation tasks with design decisions, follow this pattern:
1. **Explore** the codebase to understand existing patterns
2. **Formulate** 2-3 design options based on findings
3. **Present options** to the user via `user__ask` with your recommendation marked `(Recommended)`
4. **Confirm** the chosen approach before delegating to `coder`
5. Proceed with implementation
### Rules for User Prompts
1. **Always include (Recommended)** on the option you think is best in `user__ask`
2. **Respect user choices** - never override or ignore a selection
3. **Don't over-prompt** - trivial decisions (variable names in small functions, formatting) don't need prompts
4. **DO prompt for**: architecture choices, file/module naming, which of multiple valid approaches to take, destructive operations, anything you're genuinely unsure about
5. **Confirm before large changes** - if a task will touch 5+ files, confirm the plan first
## Escalation Handling
If you see `pending_escalations` in your tool results, a child agent needs user input and is blocked.
Reply promptly via `agent__reply_escalation` to unblock it. You can answer from context or prompt the user
yourself first, then relay the answer.
## Available Tools
{{__tools__}}
## Context
- Project: {{project_dir}}
- OS: {{__os__}}
- Shell: {{__shell__}}
- CWD: {{__cwd__}}
conversation_starters:
- 'Add a new feature to the project'
- 'Fix a bug in the codebase'
- 'Refactor the authentication module'
- 'Help me understand how X works'
+97
View File
@@ -0,0 +1,97 @@
#!/usr/bin/env bash
set -eo pipefail
# shellcheck disable=SC1090
source "$LLM_PROMPT_UTILS_FILE"
source "$LLM_ROOT_DIR/agents/.shared/utils.sh"
export AUTO_CONFIRM=true
# @env LLM_OUTPUT=/dev/stdout
# @env LLM_AGENT_VAR_PROJECT_DIR=.
# @describe Sisyphus orchestrator tools (project info, build, test)
_project_dir() {
local dir="${LLM_AGENT_VAR_PROJECT_DIR:-.}"
(cd "${dir}" 2>/dev/null && pwd) || echo "${dir}"
}
# @cmd Get project information and structure
get_project_info() {
local project_dir
project_dir=$(_project_dir)
info "Project: ${project_dir}" >> "$LLM_OUTPUT"
echo "" >> "$LLM_OUTPUT"
local project_info
project_info=$(detect_project "${project_dir}")
cat <<-EOF >> "$LLM_OUTPUT"
Type: $(echo "${project_info}" | jq -r '.type')
Build: $(echo "${project_info}" | jq -r '.build')
Test: $(echo "${project_info}" | jq -r '.test')
$(info "Directory structure:")
$(get_tree "${project_dir}" 2)
EOF
}
# @cmd Run build command for the project
run_build() {
local project_dir
project_dir=$(_project_dir)
local project_info
project_info=$(detect_project "${project_dir}")
local build_cmd
build_cmd=$(echo "${project_info}" | jq -r '.build')
if [[ -z "${build_cmd}" ]] || [[ "${build_cmd}" == "null" ]]; then
warn "No build command detected for this project" >> "$LLM_OUTPUT"
return 0
fi
info "Running: ${build_cmd}" >> "$LLM_OUTPUT"
echo "" >> "$LLM_OUTPUT"
local output
if output=$(cd "${project_dir}" && eval "${build_cmd}" 2>&1); then
green "BUILD SUCCESS" >> "$LLM_OUTPUT"
echo "${output}" >> "$LLM_OUTPUT"
return 0
else
error "BUILD FAILED" >> "$LLM_OUTPUT"
echo "${output}" >> "$LLM_OUTPUT"
return 1
fi
}
# @cmd Run tests for the project
run_tests() {
local project_dir
project_dir=$(_project_dir)
local project_info
project_info=$(detect_project "${project_dir}")
local test_cmd
test_cmd=$(echo "${project_info}" | jq -r '.test')
if [[ -z "${test_cmd}" ]] || [[ "${test_cmd}" == "null" ]]; then
warn "No test command detected for this project" >> "$LLM_OUTPUT"
return 0
fi
info "Running: ${test_cmd}" >> "$LLM_OUTPUT"
echo "" >> "$LLM_OUTPUT"
local output
if output=$(cd "${project_dir}" && eval "${test_cmd}" 2>&1); then
green "TESTS PASSED" >> "$LLM_OUTPUT"
echo "${output}" >> "$LLM_OUTPUT"
return 0
else
error "TESTS FAILED" >> "$LLM_OUTPUT"
echo "${output}" >> "$LLM_OUTPUT"
return 1
fi
}
+12
View File
@@ -1,6 +1,7 @@
{ {
"mcpServers": { "mcpServers": {
"github": { "github": {
"type": "stdio",
"command": "docker", "command": "docker",
"args": [ "args": [
"run", "run",
@@ -14,9 +15,20 @@
"GITHUB_PERSONAL_ACCESS_TOKEN": "YOUR_GITHUB_TOKEN" "GITHUB_PERSONAL_ACCESS_TOKEN": "YOUR_GITHUB_TOKEN"
} }
}, },
"atlassian": {
"type": "stdio",
"command": "npx",
"args": ["-y", "mcp-remote@0.1.13", "https://mcp.atlassian.com/v1/mcp"]
},
"docker": { "docker": {
"type": "stdio",
"command": "uvx", "command": "uvx",
"args": ["mcp-server-docker"] "args": ["mcp-server-docker"]
},
"ddg-search": {
"type": "stdio",
"command": "uvx",
"args": ["duckduckgo-mcp-server"]
} }
} }
} }
+6
View File
@@ -50,6 +50,12 @@ def parse_raw_data(data):
def parse_argv(): def parse_argv():
agent_func = sys.argv[1] agent_func = sys.argv[1]
tool_data_file = os.environ.get("LLM_TOOL_DATA_FILE")
if tool_data_file and os.path.isfile(tool_data_file):
with open(tool_data_file, "r", encoding="utf-8") as f:
agent_data = f.read()
else:
agent_data = sys.argv[2] agent_data = sys.argv[2]
if (not agent_data) or (not agent_func): if (not agent_data) or (not agent_func):
+4 -1
View File
@@ -14,7 +14,11 @@ main() {
parse_argv() { parse_argv() {
agent_func="$1" agent_func="$1"
if [[ -n "$LLM_TOOL_DATA_FILE" ]] && [[ -f "$LLM_TOOL_DATA_FILE" ]]; then
agent_data="$(cat "$LLM_TOOL_DATA_FILE")"
else
agent_data="$2" agent_data="$2"
fi
if [[ -z "$agent_data" ]] || [[ -z "$agent_func" ]]; then if [[ -z "$agent_data" ]] || [[ -z "$agent_func" ]]; then
die "usage: ./{agent_name}.sh <agent-func> <agent-data>" die "usage: ./{agent_name}.sh <agent-func> <agent-data>"
fi fi
@@ -57,7 +61,6 @@ run() {
if [[ "$OS" == "Windows_NT" ]]; then if [[ "$OS" == "Windows_NT" ]]; then
set -o igncr set -o igncr
tools_path="$(cygpath -w "$tools_path")" tools_path="$(cygpath -w "$tools_path")"
tool_data="$(echo "$tool_data" | sed 's/\\/\\\\/g')"
fi fi
jq_script="$(cat <<-'EOF' jq_script="$(cat <<-'EOF'
+189
View File
@@ -0,0 +1,189 @@
#!/usr/bin/env tsx
// Usage: ./{agent_name}.ts <agent-func> <agent-data>
import { readFileSync, writeFileSync, existsSync } from "fs";
import { join } from "path";
import { pathToFileURL } from "url";
async function main(): Promise<void> {
const { agentFunc, rawData } = parseArgv();
const agentData = parseRawData(rawData);
const configDir = "{config_dir}";
setupEnv(configDir, agentFunc);
const agentToolsPath = join(configDir, "agents", "{agent_name}", "tools.ts");
await run(agentToolsPath, agentFunc, agentData);
}
function parseRawData(data: string): Record<string, unknown> {
if (!data) {
throw new Error("No JSON data");
}
try {
return JSON.parse(data);
} catch {
throw new Error("Invalid JSON data");
}
}
function parseArgv(): { agentFunc: string; rawData: string } {
const agentFunc = process.argv[2];
const toolDataFile = process.env["LLM_TOOL_DATA_FILE"];
let agentData: string;
if (toolDataFile && existsSync(toolDataFile)) {
agentData = readFileSync(toolDataFile, "utf-8");
} else {
agentData = process.argv[3];
}
if (!agentFunc || !agentData) {
process.stderr.write("Usage: ./{agent_name}.ts <agent-func> <agent-data>\n");
process.exit(1);
}
return { agentFunc, rawData: agentData };
}
function setupEnv(configDir: string, agentFunc: string): void {
loadEnv(join(configDir, ".env"));
process.env["LLM_ROOT_DIR"] = configDir;
process.env["LLM_AGENT_NAME"] = "{agent_name}";
process.env["LLM_AGENT_FUNC"] = agentFunc;
process.env["LLM_AGENT_ROOT_DIR"] = join(configDir, "agents", "{agent_name}");
process.env["LLM_AGENT_CACHE_DIR"] = join(configDir, "cache", "{agent_name}");
}
function loadEnv(filePath: string): void {
let lines: string[];
try {
lines = readFileSync(filePath, "utf-8").split("\n");
} catch {
return;
}
for (const raw of lines) {
const line = raw.trim();
if (line.startsWith("#") || !line) {
continue;
}
const eqIdx = line.indexOf("=");
if (eqIdx === -1) {
continue;
}
const key = line.slice(0, eqIdx).trim();
if (key in process.env) {
continue;
}
let value = line.slice(eqIdx + 1).trim();
if (
(value.startsWith('"') && value.endsWith('"')) ||
(value.startsWith("'") && value.endsWith("'"))
) {
value = value.slice(1, -1);
}
process.env[key] = value;
}
}
function extractParamNames(fn: Function): string[] {
const src = fn.toString();
const match = src.match(/^(?:async\s+)?function\s*\w*\s*\(([^)]*)\)/);
if (!match) {
return [];
}
return match[1]
.split(",")
.map((p) => p.trim().replace(/[:=?].*/s, "").trim())
.filter(Boolean);
}
function spreadArgs(
fn: Function,
data: Record<string, unknown>,
): unknown[] {
const names = extractParamNames(fn);
if (names.length === 0) {
return [];
}
return names.map((name) => data[name]);
}
async function run(
agentPath: string,
agentFunc: string,
agentData: Record<string, unknown>,
): Promise<void> {
const mod = await import(pathToFileURL(agentPath).href);
if (typeof mod[agentFunc] !== "function") {
throw new Error(`No module function '${agentFunc}' at '${agentPath}'`);
}
const fn = mod[agentFunc] as Function;
const args = spreadArgs(fn, agentData);
const value = await fn(...args);
returnToLlm(value);
dumpResult(`{agent_name}:${agentFunc}`);
}
function returnToLlm(value: unknown): void {
if (value === null || value === undefined) {
return;
}
const output = process.env["LLM_OUTPUT"];
const write = (s: string) => {
if (output) {
writeFileSync(output, s, "utf-8");
} else {
process.stdout.write(s);
}
};
if (typeof value === "string" || typeof value === "number" || typeof value === "boolean") {
write(String(value));
} else if (typeof value === "object") {
write(JSON.stringify(value, null, 2));
}
}
function dumpResult(name: string): void {
const dumpResults = process.env["LLM_DUMP_RESULTS"];
const llmOutput = process.env["LLM_OUTPUT"];
if (!dumpResults || !llmOutput || !process.stdout.isTTY) {
return;
}
try {
const pattern = new RegExp(`\\b(${dumpResults})\\b`);
if (!pattern.test(name)) {
return;
}
} catch {
return;
}
let data: string;
try {
data = readFileSync(llmOutput, "utf-8");
} catch {
return;
}
process.stdout.write(
`\x1b[2m----------------------\n${data}\n----------------------\x1b[0m\n`,
);
}
main().catch((err) => {
process.stderr.write(`${err}\n`);
process.exit(1);
});
+5
View File
@@ -49,6 +49,11 @@ def parse_raw_data(data):
def parse_argv(): def parse_argv():
tool_data_file = os.environ.get("LLM_TOOL_DATA_FILE")
if tool_data_file and os.path.isfile(tool_data_file):
with open(tool_data_file, "r", encoding="utf-8") as f:
return f.read()
argv = sys.argv[:] + [None] * max(0, 2 - len(sys.argv)) argv = sys.argv[:] + [None] * max(0, 2 - len(sys.argv))
tool_data = argv[1] tool_data = argv[1]
+4 -1
View File
@@ -13,7 +13,11 @@ main() {
} }
parse_argv() { parse_argv() {
if [[ -n "$LLM_TOOL_DATA_FILE" ]] && [[ -f "$LLM_TOOL_DATA_FILE" ]]; then
tool_data="$(cat "$LLM_TOOL_DATA_FILE")"
else
tool_data="$1" tool_data="$1"
fi
if [[ -z "$tool_data" ]]; then if [[ -z "$tool_data" ]]; then
die "usage: ./{function_name}.sh <tool-data>" die "usage: ./{function_name}.sh <tool-data>"
fi fi
@@ -54,7 +58,6 @@ run() {
if [[ "$OS" == "Windows_NT" ]]; then if [[ "$OS" == "Windows_NT" ]]; then
set -o igncr set -o igncr
tool_path="$(cygpath -w "$tool_path")" tool_path="$(cygpath -w "$tool_path")"
tool_data="$(echo "$tool_data" | sed 's/\\/\\\\/g')"
fi fi
jq_script="$(cat <<-'EOF' jq_script="$(cat <<-'EOF'
+184
View File
@@ -0,0 +1,184 @@
#!/usr/bin/env tsx
// Usage: ./{function_name}.ts <tool-data>
import { readFileSync, writeFileSync, existsSync } from "fs";
import { join } from "path";
import { pathToFileURL } from "url";
async function main(): Promise<void> {
const rawData = parseArgv();
const toolData = parseRawData(rawData);
const rootDir = "{root_dir}";
setupEnv(rootDir);
const toolPath = "{tool_path}.ts";
await run(toolPath, "run", toolData);
}
function parseRawData(data: string): Record<string, unknown> {
if (!data) {
throw new Error("No JSON data");
}
try {
return JSON.parse(data);
} catch {
throw new Error("Invalid JSON data");
}
}
function parseArgv(): string {
const toolDataFile = process.env["LLM_TOOL_DATA_FILE"];
if (toolDataFile && existsSync(toolDataFile)) {
return readFileSync(toolDataFile, "utf-8");
}
const toolData = process.argv[2];
if (!toolData) {
process.stderr.write("Usage: ./{function_name}.ts <tool-data>\n");
process.exit(1);
}
return toolData;
}
function setupEnv(rootDir: string): void {
loadEnv(join(rootDir, ".env"));
process.env["LLM_ROOT_DIR"] = rootDir;
process.env["LLM_TOOL_NAME"] = "{function_name}";
process.env["LLM_TOOL_CACHE_DIR"] = join(rootDir, "cache", "{function_name}");
}
function loadEnv(filePath: string): void {
let lines: string[];
try {
lines = readFileSync(filePath, "utf-8").split("\n");
} catch {
return;
}
for (const raw of lines) {
const line = raw.trim();
if (line.startsWith("#") || !line) {
continue;
}
const eqIdx = line.indexOf("=");
if (eqIdx === -1) {
continue;
}
const key = line.slice(0, eqIdx).trim();
if (key in process.env) {
continue;
}
let value = line.slice(eqIdx + 1).trim();
if (
(value.startsWith('"') && value.endsWith('"')) ||
(value.startsWith("'") && value.endsWith("'"))
) {
value = value.slice(1, -1);
}
process.env[key] = value;
}
}
function extractParamNames(fn: Function): string[] {
const src = fn.toString();
const match = src.match(/^(?:async\s+)?function\s*\w*\s*\(([^)]*)\)/);
if (!match) {
return [];
}
return match[1]
.split(",")
.map((p) => p.trim().replace(/[:=?].*/s, "").trim())
.filter(Boolean);
}
function spreadArgs(
fn: Function,
data: Record<string, unknown>,
): unknown[] {
const names = extractParamNames(fn);
if (names.length === 0) {
return [];
}
return names.map((name) => data[name]);
}
async function run(
toolPath: string,
toolFunc: string,
toolData: Record<string, unknown>,
): Promise<void> {
const mod = await import(pathToFileURL(toolPath).href);
if (typeof mod[toolFunc] !== "function") {
throw new Error(`No module function '${toolFunc}' at '${toolPath}'`);
}
const fn = mod[toolFunc] as Function;
const args = spreadArgs(fn, toolData);
const value = await fn(...args);
returnToLlm(value);
dumpResult("{function_name}");
}
function returnToLlm(value: unknown): void {
if (value === null || value === undefined) {
return;
}
const output = process.env["LLM_OUTPUT"];
const write = (s: string) => {
if (output) {
writeFileSync(output, s, "utf-8");
} else {
process.stdout.write(s);
}
};
if (typeof value === "string" || typeof value === "number" || typeof value === "boolean") {
write(String(value));
} else if (typeof value === "object") {
write(JSON.stringify(value, null, 2));
}
}
function dumpResult(name: string): void {
const dumpResults = process.env["LLM_DUMP_RESULTS"];
const llmOutput = process.env["LLM_OUTPUT"];
if (!dumpResults || !llmOutput || !process.stdout.isTTY) {
return;
}
try {
const pattern = new RegExp(`\\b(${dumpResults})\\b`);
if (!pattern.test(name)) {
return;
}
} catch {
return;
}
let data: string;
try {
data = readFileSync(llmOutput, "utf-8");
} catch {
return;
}
process.stdout.write(
`\x1b[2m----------------------\n${data}\n----------------------\x1b[0m\n`,
);
}
main().catch((err) => {
process.stderr.write(`${err}\n`);
process.exit(1);
});
+23 -10
View File
@@ -1,6 +1,7 @@
import os import os
from typing import List, Literal, Optional from typing import List, Literal, Optional
def run( def run(
string: str, string: str,
string_enum: Literal["foo", "bar"], string_enum: Literal["foo", "bar"],
@@ -9,26 +10,38 @@ def run(
number: float, number: float,
array: List[str], array: List[str],
string_optional: Optional[str] = None, string_optional: Optional[str] = None,
integer_with_default: int = 42,
boolean_with_default: bool = True,
number_with_default: float = 3.14,
string_with_default: str = "hello",
array_optional: Optional[List[str]] = None, array_optional: Optional[List[str]] = None,
): ):
"""Demonstrates how to create a tool using Python and how to use comments. """Demonstrates all supported Python parameter types and variations.
Args: Args:
string: Define a required string property string: A required string property
string_enum: Define a required string property with enum string_enum: A required string property constrained to specific values
boolean: Define a required boolean property boolean: A required boolean property
integer: Define a required integer property integer: A required integer property
number: Define a required number property number: A required number (float) property
array: Define a required string array property array: A required string array property
string_optional: Define an optional string property string_optional: An optional string property (Optional[str] with None default)
array_optional: Define an optional string array property integer_with_default: An optional integer with a non-None default value
boolean_with_default: An optional boolean with a default value
number_with_default: An optional number with a default value
string_with_default: An optional string with a default value
array_optional: An optional string array property
""" """
output = f"""string: {string} output = f"""string: {string}
string_enum: {string_enum} string_enum: {string_enum}
string_optional: {string_optional}
boolean: {boolean} boolean: {boolean}
integer: {integer} integer: {integer}
number: {number} number: {number}
array: {array} array: {array}
string_optional: {string_optional}
integer_with_default: {integer_with_default}
boolean_with_default: {boolean_with_default}
number_with_default: {number_with_default}
string_with_default: {string_with_default}
array_optional: {array_optional}""" array_optional: {array_optional}"""
for key, value in os.environ.items(): for key, value in os.environ.items():
+53
View File
@@ -0,0 +1,53 @@
/**
* Demonstrates all supported TypeScript parameter types and variations.
*
* @param string - A required string property
* @param string_enum - A required string property constrained to specific values
* @param boolean - A required boolean property
* @param number - A required number property
* @param array_bracket - A required string array using bracket syntax
* @param array_generic - A required string array using generic syntax
* @param string_optional - An optional string using the question mark syntax
* @param string_nullable - An optional string using the union-with-null syntax
* @param number_with_default - An optional number with a default value
* @param boolean_with_default - An optional boolean with a default value
* @param string_with_default - An optional string with a default value
* @param array_optional - An optional string array using the question mark syntax
*/
export function run(
string: string,
string_enum: "foo" | "bar",
boolean: boolean,
number: number,
array_bracket: string[],
array_generic: Array<string>,
string_optional?: string,
string_nullable: string | null = null,
number_with_default: number = 42,
boolean_with_default: boolean = true,
string_with_default: string = "hello",
array_optional?: string[],
): string {
const parts = [
`string: ${string}`,
`string_enum: ${string_enum}`,
`boolean: ${boolean}`,
`number: ${number}`,
`array_bracket: ${JSON.stringify(array_bracket)}`,
`array_generic: ${JSON.stringify(array_generic)}`,
`string_optional: ${string_optional}`,
`string_nullable: ${string_nullable}`,
`number_with_default: ${number_with_default}`,
`boolean_with_default: ${boolean_with_default}`,
`string_with_default: ${string_with_default}`,
`array_optional: ${JSON.stringify(array_optional)}`,
];
for (const [key, value] of Object.entries(process.env)) {
if (key.startsWith("LLM_")) {
parts.push(`${key}: ${value}`);
}
}
return parts.join("\n");
}
+1 -1
View File
@@ -10,5 +10,5 @@ set -e
main() { main() {
# shellcheck disable=SC2154 # shellcheck disable=SC2154
cat "$argc_path" >> "$LLM_OUTPUT" cat "$argc_path" >> "$LLM_OUTPUT" 2>&1 || echo "No such file or path: $argc_path" >> "$LLM_OUTPUT"
} }
+59
View File
@@ -0,0 +1,59 @@
#!/usr/bin/env bash
set -e
# @describe Find files by glob pattern. Returns matching file paths sorted by modification time.
# Use this to discover files before reading them.
# @option --pattern! The glob pattern to match files against (e.g. "**/*.rs", "src/**/*.ts", "*.yaml")
# @option --path The directory to search in (defaults to current working directory)
# @env LLM_OUTPUT=/dev/stdout The output path
MAX_RESULTS=100
main() {
# shellcheck disable=SC2154
local glob_pattern="$argc_pattern"
local search_path="${argc_path:-.}"
if [[ ! -d "$search_path" ]]; then
echo "Error: directory not found: $search_path" >> "$LLM_OUTPUT"
return 1
fi
local results
if command -v fd &>/dev/null; then
results=$(fd --type f --glob "$glob_pattern" "$search_path" \
--exclude '.git' \
--exclude 'node_modules' \
--exclude 'target' \
--exclude 'dist' \
--exclude '__pycache__' \
--exclude 'vendor' \
--exclude '.build' \
2>/dev/null | head -n "$MAX_RESULTS") || true
else
results=$(find "$search_path" -type f -name "$glob_pattern" \
-not -path '*/.git/*' \
-not -path '*/node_modules/*' \
-not -path '*/target/*' \
-not -path '*/dist/*' \
-not -path '*/__pycache__/*' \
-not -path '*/vendor/*' \
-not -path '*/.build/*' \
2>/dev/null | head -n "$MAX_RESULTS") || true
fi
if [[ -z "$results" ]]; then
echo "No files found matching: $glob_pattern" >> "$LLM_OUTPUT"
return 0
fi
echo "$results" >> "$LLM_OUTPUT"
local count
count=$(echo "$results" | wc -l)
if [[ "$count" -ge "$MAX_RESULTS" ]]; then
printf "\n(Results limited to %s files. Use a more specific pattern.)\n" "$MAX_RESULTS" >> "$LLM_OUTPUT"
fi
}
+71
View File
@@ -0,0 +1,71 @@
#!/usr/bin/env bash
set -e
# @describe Search file contents using regular expressions. Returns matching file paths and lines.
# Use this to find relevant code before reading files. Much faster than reading files to search.
# @option --pattern! The regex pattern to search for in file contents
# @option --path The directory to search in (defaults to current working directory)
# @option --include File pattern to filter by (e.g. "*.rs", "*.{ts,tsx}", "*.py")
# @env LLM_OUTPUT=/dev/stdout The output path
MAX_RESULTS=50
MAX_LINE_LENGTH=2000
main() {
# shellcheck disable=SC2154
local search_pattern="$argc_pattern"
local search_path="${argc_path:-.}"
local include_filter="${argc_include:-}"
if [[ ! -d "$search_path" ]]; then
echo "Error: directory not found: $search_path" >> "$LLM_OUTPUT"
return 1
fi
local grep_args=(-rn --color=never)
grep_args+=(
--exclude-dir='.git'
--exclude-dir='node_modules'
--exclude-dir='target'
--exclude-dir='dist'
--exclude-dir='build'
--exclude-dir='__pycache__'
--exclude-dir='vendor'
--exclude-dir='.build'
--exclude-dir='.next'
--exclude='*.min.js'
--exclude='*.min.css'
--exclude='*.map'
--exclude='*.lock'
--exclude='package-lock.json'
)
if [[ -n "$include_filter" ]]; then
grep_args+=("--include=$include_filter")
fi
local results
results=$(grep "${grep_args[@]}" -E "$search_pattern" "$search_path" 2>/dev/null | head -n "$MAX_RESULTS") || true
if [[ -z "$results" ]]; then
echo "No matches found for: $search_pattern" >> "$LLM_OUTPUT"
return 0
fi
echo "$results" | while IFS= read -r line; do
if [[ ${#line} -gt $MAX_LINE_LENGTH ]]; then
line="${line:0:$MAX_LINE_LENGTH}... (truncated)"
fi
echo "$line"
done >> "$LLM_OUTPUT"
local count
count=$(echo "$results" | wc -l)
if [[ "$count" -ge "$MAX_RESULTS" ]]; then
printf "\n(Results limited to %s matches. Narrow your search with --include or a more specific pattern.)\n" "$MAX_RESULTS" >> "$LLM_OUTPUT"
fi
}
+1 -1
View File
@@ -9,5 +9,5 @@ set -e
main() { main() {
# shellcheck disable=SC2154 # shellcheck disable=SC2154
ls -1 "$argc_path" >> "$LLM_OUTPUT" ls -1 "$argc_path" >> "$LLM_OUTPUT" 2>&1 || echo "No such path: $argc_path" >> "$LLM_OUTPUT"
} }
+62
View File
@@ -0,0 +1,62 @@
#!/usr/bin/env bash
set -e
# @describe Read a file with line numbers, offset, and limit. For directories, lists entries.
# Prefer this over fs_cat for controlled reading. Use offset/limit to read specific sections.
# Use the grep tool to find specific content before reading, then read with offset to target the relevant section.
# @option --path! The absolute path to the file or directory to read
# @option --offset The line number to start reading from (1-indexed, default: 1)
# @option --limit The maximum number of lines to read (default: 2000)
# @env LLM_OUTPUT=/dev/stdout The output path
MAX_LINE_LENGTH=2000
MAX_BYTES=51200
main() {
# shellcheck disable=SC2154
local target="$argc_path"
local offset="${argc_offset:-1}"
local limit="${argc_limit:-2000}"
if [[ ! -e "$target" ]]; then
echo "Error: path not found: $target" >> "$LLM_OUTPUT"
return 1
fi
if [[ -d "$target" ]]; then
ls -1 "$target" >> "$LLM_OUTPUT" 2>&1
return 0
fi
local total_lines file_bytes
total_lines=$(wc -l < "$target" 2>/dev/null || echo 0)
file_bytes=$(wc -c < "$target" 2>/dev/null || echo 0)
if [[ "$file_bytes" -gt "$MAX_BYTES" ]] && [[ "$offset" -eq 1 ]] && [[ "$limit" -ge 2000 ]]; then
{
echo "Warning: Large file (${file_bytes} bytes, ${total_lines} lines). Showing first ${limit} lines."
echo "Use --offset and --limit to read specific sections, or use the grep tool to find relevant lines first."
echo ""
} >> "$LLM_OUTPUT"
fi
local end_line=$((offset + limit - 1))
sed -n "${offset},${end_line}p" "$target" 2>/dev/null | {
local line_num=$offset
while IFS= read -r line; do
if [[ ${#line} -gt $MAX_LINE_LENGTH ]]; then
line="${line:0:$MAX_LINE_LENGTH}... (truncated)"
fi
printf "%d: %s\n" "$line_num" "$line"
line_num=$((line_num + 1))
done
} >> "$LLM_OUTPUT"
if [[ "$end_line" -lt "$total_lines" ]]; then
echo "" >> "$LLM_OUTPUT"
echo "(${total_lines} total lines. Use --offset $((end_line + 1)) to read more.)" >> "$LLM_OUTPUT"
fi
}
@@ -0,0 +1,24 @@
#!/usr/bin/env tsx
import { appendFileSync, mkdirSync } from "fs";
import { dirname } from "path";
/**
* Get the current weather in a given location
* @param location - The city and optionally the state or country (e.g., "London", "San Francisco, CA").
*/
export async function run(location: string): string {
const encoded = encodeURIComponent(location);
const url = `https://wttr.in/${encoded}?format=4`;
const resp = await fetch(url);
const data = await resp.text();
const dest = process.env["LLM_OUTPUT"] ?? "/dev/stdout";
if (dest !== "-" && dest !== "/dev/stdout") {
mkdirSync(dirname(dest), { recursive: true });
appendFileSync(dest, data, "utf-8");
}
return data;
}
@@ -1,11 +0,0 @@
#!/usr/bin/env bash
set -e
# @meta require-tools jira
# @describe Query for jira issues using a Jira Query Language (JQL) query
# @option --jql-query! The Jira Query Language query to execute
# @env LLM_OUTPUT=/dev/stdout The output path
main() {
jira issue ls -q "$argc_jql_query" --plain >> "$LLM_OUTPUT"
}
+5 -3
View File
@@ -121,7 +121,7 @@ _cursor_blink_off() {
} }
_cursor_to() { _cursor_to() {
echo -en "\033[$1;$2H" >&2 echo -en "\033[$1;${2:-1}H" >&2
} }
# shellcheck disable=SC2154 # shellcheck disable=SC2154
@@ -133,7 +133,7 @@ _key_input() {
_read_stdin -rsn2 b _read_stdin -rsn2 b
fi fi
declare input="${a}${b}" declare input="${a}${b:-}"
case "$input" in case "$input" in
"${ESC}[A" | "k") echo up ;; "${ESC}[A" | "k") echo up ;;
"${ESC}[B" | "j") echo down ;; "${ESC}[B" | "j") echo down ;;
@@ -507,6 +507,7 @@ open_link() {
guard_operation() { guard_operation() {
if [[ -t 1 ]]; then if [[ -t 1 ]]; then
if [[ -z "$AUTO_CONFIRM" && -z "$LLM_AGENT_VAR_AUTO_CONFIRM" ]]; then
ans="$(confirm "${1:-Are you sure you want to continue?}")" ans="$(confirm "${1:-Are you sure you want to continue?}")"
if [[ "$ans" == 0 ]]; then if [[ "$ans" == 0 ]]; then
@@ -514,6 +515,7 @@ guard_operation() {
exit 1 exit 1
fi fi
fi fi
fi
} }
# Here is an example of a patch block that can be applied to modify the file to request the user's name: # Here is an example of a patch block that can be applied to modify the file to request the user's name:
@@ -657,7 +659,7 @@ guard_path() {
path="$(_to_real_path "$1")" path="$(_to_real_path "$1")"
confirmation_prompt="$2" confirmation_prompt="$2"
if [[ ! "$path" == "$(pwd)"* ]]; then if [[ ! "$path" == "$(pwd)"* && -z "$AUTO_CONFIRM" && -z "$LLM_AGENT_VAR_AUTO_CONFIRM" ]]; then
ans="$(confirm "$confirmation_prompt")" ans="$(confirm "$confirmation_prompt")"
if [[ "$ans" == 0 ]]; then if [[ "$ans" == 0 ]]; then
+17
View File
@@ -17,6 +17,23 @@ agent_session: null # Set a session to use when starting the agent.
name: <agent-name> # Name of the agent, used in the UI and logs name: <agent-name> # Name of the agent, used in the UI and logs
description: <description> # Description of the agent, used in the UI description: <description> # Description of the agent, used in the UI
version: 1 # Version of the agent version: 1 # Version of the agent
# Todo System & Auto-Continuation
# These settings help smaller models handle multi-step tasks more reliably.
# See docs/TODO-SYSTEM.md for detailed documentation.
auto_continue: false # Enable automatic continuation when incomplete todos remain
max_auto_continues: 10 # Maximum number of automatic continuations before stopping
inject_todo_instructions: true # Inject the default todo tool usage instructions into the agent's system prompt
continuation_prompt: null # Custom prompt used when auto-continuing (optional; uses default if null)
# Sub-Agent Spawning System
# Enable this agent to spawn and manage child agents in parallel.
# See docs/AGENTS.md for detailed documentation.
can_spawn_agents: false # Enable the agent to spawn child agents
max_concurrent_agents: 4 # Maximum number of agents that can run simultaneously
max_agent_depth: 3 # Maximum nesting depth for sub-agents (prevents runaway spawning)
inject_spawn_instructions: true # Inject the default agent spawning instructions into the agent's system prompt
summarization_model: null # Model to use for summarizing sub-agent output (e.g. 'openai:gpt-4o-mini'); defaults to current model
summarization_threshold: 4000 # Character threshold above which sub-agent output is summarized before returning to parent
escalation_timeout: 300 # Seconds a sub-agent waits for a user interaction response before timing out (default: 5 minutes)
mcp_servers: # Optional list of MCP servers that the agent utilizes mcp_servers: # Optional list of MCP servers that the agent utilizes
- github # Corresponds to the name of an MCP server in the `<loki-config-dir>/functions/mcp.json` file - github # Corresponds to the name of an MCP server in the `<loki-config-dir>/functions/mcp.json` file
global_tools: # Optional list of additional global tools to enable for the agent; i.e. not tools specific to the agent global_tools: # Optional list of additional global tools to enable for the agent; i.e. not tools specific to the agent
+17 -3
View File
@@ -41,11 +41,12 @@ vault_password_file: null # Path to a file containing the password for th
# See the [Tools documentation](./docs/function-calling/TOOLS.md) for more details # See the [Tools documentation](./docs/function-calling/TOOLS.md) for more details
function_calling: true # Enables or disables function calling (Globally). function_calling: true # Enables or disables function calling (Globally).
mapping_tools: # Alias for a tool or toolset mapping_tools: # Alias for a tool or toolset
fs: 'fs_cat,fs_ls,fs_mkdir,fs_rm,fs_write' fs: 'fs_cat,fs_ls,fs_mkdir,fs_rm,fs_write,fs_read,fs_glob,fs_grep'
enabled_tools: null # Which tools to enable by default. (e.g. 'fs,web_search_loki') enabled_tools: null # Which tools to enable by default. (e.g. 'fs,web_search_loki')
visible_tools: # Which tools are visible to be compiled (and are thus able to be defined in 'enabled_tools') visible_tools: # Which tools are visible to be compiled (and are thus able to be defined in 'enabled_tools')
# - demo_py.py # - demo_py.py
# - demo_sh.sh # - demo_sh.sh
# - demo_ts.ts
- execute_command.sh - execute_command.sh
# - execute_py_code.py # - execute_py_code.py
# - execute_sql_code.sh # - execute_sql_code.sh
@@ -53,11 +54,15 @@ visible_tools: # Which tools are visible to be compiled (and a
# - fetch_url_via_jina.sh # - fetch_url_via_jina.sh
- fs_cat.sh - fs_cat.sh
- fs_ls.sh - fs_ls.sh
# - fs_read.sh
# - fs_glob.sh
# - fs_grep.sh
# - fs_mkdir.sh # - fs_mkdir.sh
# - fs_patch.sh # - fs_patch.sh
# - fs_write.sh # - fs_write.sh
- get_current_time.sh - get_current_time.sh
# - get_current_weather.py # - get_current_weather.py
# - get_current_weather.ts
- get_current_weather.sh - get_current_weather.sh
- query_jira_issues.sh - query_jira_issues.sh
# - search_arxiv.sh # - search_arxiv.sh
@@ -74,7 +79,7 @@ visible_tools: # Which tools are visible to be compiled (and a
mcp_server_support: true # Enables or disables MCP servers (globally). mcp_server_support: true # Enables or disables MCP servers (globally).
mapping_mcp_servers: # Alias for an MCP server or set of servers mapping_mcp_servers: # Alias for an MCP server or set of servers
git: github,gitmcp git: github,gitmcp
enabled_mcp_servers: null # Which MCP servers to enable by default (e.g. 'github,slack') enabled_mcp_servers: null # Which MCP servers to enable by default (e.g. 'github,slack,ddg-search')
# ---- Session ---- # ---- Session ----
# See the [Session documentation](./docs/SESSIONS.md) for more information # See the [Session documentation](./docs/SESSIONS.md) for more information
@@ -92,7 +97,7 @@ rag_reranker_model: null # Specifies the reranker model used for sorting
rag_top_k: 5 # Specifies the number of documents to retrieve for answering queries rag_top_k: 5 # Specifies the number of documents to retrieve for answering queries
rag_chunk_size: null # Defines the size of chunks for document processing in characters rag_chunk_size: null # Defines the size of chunks for document processing in characters
rag_chunk_overlap: null # Defines the overlap between chunks rag_chunk_overlap: null # Defines the overlap between chunks
# Defines the query structure using variables like __CONTEXT__ and __INPUT__ to tailor searches to specific needs # Defines the query structure using variables like __CONTEXT__, __SOURCES__, and __INPUT__ to tailor searches to specific needs
rag_template: | rag_template: |
Answer the query based on the context while respecting the rules. (user query, some textual context and rules, all inside xml tags) Answer the query based on the context while respecting the rules. (user query, some textual context and rules, all inside xml tags)
@@ -100,6 +105,10 @@ rag_template: |
__CONTEXT__ __CONTEXT__
</context> </context>
<sources>
__SOURCES__
</sources>
<rules> <rules>
- If you don't know, just say so. - If you don't know, just say so.
- If you are not sure, ask for clarification. - If you are not sure, ask for clarification.
@@ -107,6 +116,7 @@ rag_template: |
- If the context appears unreadable or of poor quality, tell the user then answer as best as you can. - If the context appears unreadable or of poor quality, tell the user then answer as best as you can.
- If the answer is not in the context but you think you know the answer, explain that to the user then answer with your own knowledge. - If the answer is not in the context but you think you know the answer, explain that to the user then answer with your own knowledge.
- Answer directly and without using xml tags. - Answer directly and without using xml tags.
- When using information from the context, cite the relevant source from the <sources> section.
</rules> </rules>
<user_query> <user_query>
@@ -184,6 +194,8 @@ clients:
- type: gemini - type: gemini
api_base: https://generativelanguage.googleapis.com/v1beta api_base: https://generativelanguage.googleapis.com/v1beta
api_key: '{{GEMINI_API_KEY}}' # You can either hard-code or inject secrets from the Loki vault api_key: '{{GEMINI_API_KEY}}' # You can either hard-code or inject secrets from the Loki vault
auth: null # When set to 'oauth', Loki will use OAuth instead of an API key
# Authenticate with `loki --authenticate` or `.authenticate` in the REPL
patch: patch:
chat_completions: chat_completions:
'.*': '.*':
@@ -202,6 +214,8 @@ clients:
- type: claude - type: claude
api_base: https://api.anthropic.com/v1 # Optional api_base: https://api.anthropic.com/v1 # Optional
api_key: '{{ANTHROPIC_API_KEY}}' # You can either hard-code or inject secrets from the Loki vault api_key: '{{ANTHROPIC_API_KEY}}' # You can either hard-code or inject secrets from the Loki vault
auth: null # When set to 'oauth', Loki will use OAuth instead of an API key
# Authenticate with `loki --authenticate` or `.authenticate` in the REPL
# See https://docs.mistral.ai/ # See https://docs.mistral.ai/
- type: openai-compatible - type: openai-compatible
-430
View File
@@ -1,430 +0,0 @@
# Agents
Agents in Loki follow the same style as OpenAI's GPTs. They consist of 3 parts:
* [Role](./ROLES.md) - Tell the LLM how to behave
* [RAG](./RAG.md) - Pre-built knowledge bases specifically for the agent
* [Function Calling](./function-calling/TOOLS.md#tools) ([#2](./function-calling/MCP-SERVERS.md)) - Extends the functionality of the LLM through custom functions it can call
![Agent example](./images/agents/sql.gif)
Agent configuration files are stored in the `agents` subdirectory of your Loki configuration directory. The location of
this directory varies between systems so you can use the following command to locate yours:
```shell
loki --info | grep 'agents_dir' | awk '{print $2}'
```
If you're looking for more example agents, refer to the [built-in agents](../assets/agents).
## Quick Links
<!--toc:start-->
- [Directory Structure](#directory-structure)
- [Metadata](#1-metadata)
- [2. Define the Instructions](#2-define-the-instructions)
- [Static Instructions](#static-instructions)
- [Special Variables](#special-variables)
- [User-Defined Variables](#user-defined-variables)
- [Dynamic Instructions](#dynamic-instructions)
- [Variables](#variables)
- [3. Initializing RAG](#3-initializing-rag)
- [4. Building Tools for Agents](#4-building-tools-for-agents)
- [Limitations](#limitations)
- [.env File Support](#env-file-support)
- [Python-Based Agent Tools](#python-based-agent-tools)
- [Bash-Based Agent Tools](#bash-based-agent-tools)
- [5. Conversation Starters](#5-conversation-starters)
- [Built-In Agents](#built-in-agents)
<!--toc:end-->
---
## Directory Structure
Agent configurations often have the following directory structure:
```
<loki-config-dir>/agents
└── my-agent
├── config.yaml
├── tools.sh
or
├── tools.py
```
This means that agent configurations often are only two files: the agent configuration file (`config.yaml`), and the
tool definitions (`agents/my-agent/tools.sh` or `tools.py`).
To see a full example configuration file, refer to the [example agent config file](../config.agent.example.yaml).
The best way to understand how an agent is built is to go step by step in the following manner:
---
## 1. Metadata
Agent configurations have the following settings available to customize each agent:
```yaml
# Model Configuration
model: openai:gpt-4o # Specify the LLM to use
temperature: null # Set default temperature parameter, range (0, 1)
top_p: null # Set default top-p parameter, with a range of (0, 1) or (0, 2), depending on the model
# Agent Metadata Configuration
agent_session: null # Set a session to use when starting the agent. (e.g. temp, default); defaults to globally set agent_session
# Agent Configuration
name: <agent-name> # Name of the agent, used in the UI and logs
description: <description> # Description of the agent, used in the UI
version: 1 # Version of the agent
# Function Calling Configuration
mcp_servers: # Optional list of MCP servers that the agent utilizes
- github # Corresponds to the name of an MCP server in the `<loki-config-dir>/functions/mcp.json` file
global_tools: # Optional list of additional global tools to enable for the agent; i.e. not tools specific to the agent
- web_search
- fs
- python
```
As mentioned previously: Agents utilize function calling to extend a model's capabilities. However, agents operate in
isolated environment, so in order for an agent to use a tool or MCP server that you have defined globally, you must
explicitly state which tools and/or MCP servers the agent uses. Otherwise, it is assumed that the agent doesn't use any
tools outside its own custom defined tools.
And if you don't define a `agents/my-agent/tools.sh` or `agents/my-agent/tools.py`, then the agent is really just a
`role`.
You'll notice there's no settings for agent-specific tooling. This is because they are handled separately and
automatically. See the [Building Tools for Agents](#4-building-tools-for-agents) section below for more information.
To see a full example configuration file, refer to the [example agent config file](../config.agent.example.yaml).
## 2. Define the Instructions
At their heart, agents function similarly to roles in that they tell the model how to behave. Agent configuration files
have the following settings for the instruction definitions:
```yaml
dynamic_instructions: # Whether to use dynamically generated instructions for the agent; if false, static instructions are used. False by default.
instructions: # Static instructions for the LLM; These are ignored if dynamic instructions are used
variables: # An array of optional variables that the agent expects and uses
```
### Static Instructions
By default, Loki agents use statically defined instructions. Think of them as being identical to the instructions for a
[role](./ROLES.md#instructions), because they virtually are.
**Example:**
```yaml
instructions: |
You are an AI agent designed to demonstrate agentic capabilities
```
Just like roles, agents support variable interpolation at runtime. There's two types of variables that can be
interpolated into the instructions at runtime: special variables (like roles have), and user-defined variables. Just
like roles, variables are interpolated into your instructions anywhere Loki sees the `{{variable}}` syntax.
#### Special Variables
The following special variables are provided by Loki at runtime and can be injected into your agent's instructions:
| Name | Description | Example |
|-----------------|---------------------------------------------------------------------|----------------------------|
| `__os__` | Operating system name | `linux` |
| `__os_family__` | Operating system family | `unix` |
| `__arch__` | System architecture | `x86_64` |
| `__shell__` | The current user's default shell | `bash` |
| `__locale__` | The current user's preferred language and region settings | `en-US` |
| `__now__` | Current timestamp in ISO 8601 format | `2025-11-07T10:15:44.268Z` |
| `__cwd__` | The current working directory | `/tmp` |
| `__tools__` | A list of the enabled tools (global + mcp servers + agent-specific) | |
#### User-Defined Variables
Agents also support user-defined variables that can be interpolated into the instructions, and are made available to any
agent-specific tools you define (see [Building Tools for Agents](#4-building-tools-for-agents) for more details on how to
create agent-specific tooling).
The `variables` setting in an agent's config has the following fields:
| Field | Required | Description |
|---------------|----------|----------------------------------------------------------------------------------------------------|
| `name` | * | The name of the variable |
| `description` | * | The description of the field |
| `default` | | A default value for the field. If left undefined, the user will be prompted for a value at runtime |
These variables can be referenced in both the agent's instructions, and in the tool definitions via `LLM_AGENT_VAR_<name>`.
**Example:**
```yaml
instructions: |
You are an agent who answers questions about a user's system.
<tools>
{{__tools__}}
</tools>
<system>
os: {{__os__}}
os_family: {{__os_family__}}
arch: {{__arch__}}
shell: {{__shell__}}
locale: {{__locale__}}
now: {{__now__}}
cwd: {{__cwd__}}
</system>
<user>
username: {{username}}
</user>
variables:
- name: username # Accessible from the tool definitions via the `LLM_AGENT_VAR_USERNAME` environment variable
description: Your user name
```
### Dynamic Instructions
Sometimes you may find it useful to dynamically generate instructions on startup. Whether that be via a call to Loki
itself to generate them, or by some other means. Loki supports this type of behavior using a special function defined
in your `agents/my-agent/tools.py` or `agents/my-agent/tools.sh`.
**Example: Instructions for a JSON-reader agent that specializes on each JSON input it receives**
`agents/json-reader/tools.py`:
```python
import json
from pathlib import Path
from genson import SchemaBuilder
def _instructions():
"""Generates instructions for the agent dynamically"""
value = input("Enter a JSON file path OR paste raw JSON: ").strip()
if not value:
raise SystemExit("A file path or JSON string is required.")
p = Path(value)
if p.exists() and p.is_file():
json_file_path = str(p.resolve())
json_text = p.read_text(encoding="utf-8")
else:
try:
json.loads(value)
except json.JSONDecodeError as e:
raise SystemExit(f"Input is neither a file nor valid JSON.\n{e}")
json_file_path = "<provided-inline-json>"
json_text = value
try:
data = json.loads(json_text)
except json.JSONDecodeError as e:
raise SystemExit(f"Provided content is not valid JSON.\n{e}")
builder = SchemaBuilder()
builder.add_object(data)
json_schema = builder.to_schema()
return f"""
You are an AI agent that can view and filter JSON data with jq.
## Context
json_file_path: {json_file_path}
json_schema: {json.dumps(json_schema, indent=2)}
"""
```
or
`agents/json-reader/tools.sh`:
```bash
#!/usr/bin/env bash
set -e
# @meta require-tools jq,genson
# @env LLM_OUTPUT=/dev/stdout The output path
# @cmd Generates instructions for the agent dynamically
_instructions() {
read -r -p "Enter a JSON file path OR paste raw JSON: " value
if [[ -z "${value}" ]]; then
echo "A file path or JSON string is required" >&2
exit 1
fi
json_file_path=""
inline_temp=""
cleanup() {
[[ -n "${inline_temp:-}" && -f "${inline_temp}" ]] && rm -f "${inline_temp}"
}
trap cleanup EXIT
if [[ -f "${value}" ]]; then
json_file_path="$(realpath "${value}")"
if ! jq empty "${json_file_path}" >/dev/null 2>&1; then
echo "Error: File does not contain valid JSON: ${json_file_path}" >&2
exit 1
fi
else
inline_temp="$(mktemp)"
printf "%s" "${value}" > "${inline_temp}"
if ! jq empty "${inline_temp}" >/dev/null 2>&1; then
echo "Error: Input is neither a file nor valid JSON." >&2
exit 1
fi
json_file_path="<provided-inline-json>"
fi
source_file="${json_file_path}"
if [[ "${json_file_path}" == "<provided-inline-json>" ]]; then
source_file="${inline_temp}"
fi
json_schema="$(genson < "${source_file}" | jq -c '.')"
cat <<EOF >> "$LLM_OUTPUT"
You are an AI agent that can view and filter JSON data with jq.
## Context
json_file_path: ${json_file_path}
json_schema: ${json_schema}
EOF
}
```
For more information on how to create custom tools for your agent and the structure of the `agent/my-agent/tools.sh` or
`agent/my-agent/tools.py` files, refer to the [Building Tools for Agents](#4-building-tools-for-agents) section below.
#### Variables
All the same variable interpolations supported by static instructions is also supported by dynamic instructions. For
more information on what variables are available and how to use them, refer to the [Special Variables](#special-variables)
and [User-Defined Variables](#user-defined-variables) sections above.
## 3. Initializing RAG
Each agent you create also has a dedicated knowledge base that adds additional context to your queries and helps the LLM
answer queries effectively. The documents to load into RAG are defined in the `documents` array of your agent
configuration file:
```yaml
documents:
- https://www.ohdsi.org/data-standardization/
- https://github.com/OHDSI/Vocabulary-v5.0/wiki/**
- OMOPCDM_ddl.sql # Relative path to agent (i.e. file lives at '<loki-config-dir>/agents/my-agent/OMOPCDM_ddl.sql')
```
These documents use the same syntax as those you'd define when constructing RAG normally. To see all the available types
of documents that Loki supports and how to use custom document loaders, refer to the [RAG documentation](./RAG.md#supported-document-sources).
Anytime your agent starts up, it will automatically be using the RAG you've defined here.
## 4. Building Tools for Agents
Building tools for agents is virtually identical to building custom tools, with one slight difference: instead of
defining a single function that gets executed at runtime (e.g. `main` for bash tools and `run` for Python tools), agent
tools define a number of *subcommands*.
### Limitations
You can only utilize either a bash-based `<loki-config-dir>/agents/my-agent/tools.sh` or a Python-based
`<loki-config-dir>/agents/my-agent/tools.py`. However, if it's easier to achieve a task in one language vs the other,
you're free to define other scripts in your agent's configuration directory and reference them from the main
`tools.py/sh` file. **Any scripts *not* named `tools.{py,sh}` will not be picked up by Loki's compiler**, meaning they
can be used like any other set of scripts.
It's important to keep in mind the following:
* **Do not give agents the same name as an executable**. Loki compiles the tools for each agent into a binary that it
temporarily places on your path during execution. If you have a binary with the same name as your agent, then your
shell may execute the existing binary instead of your agent's tools
* **`LLM_ROOT_DIR` points to the agent's configuration directory**. This is where agents differ slightly from normal
tools: The `LLM_ROOT_DIR` environment variable does *not* point to the `functions/tools` directory like it does in
global tools. Instead, it points to the agent's configuration directory, making it easier to source scripts and other
miscellaneous files
### .env File Support
When Loki loads an agent, it will also search the agent's configuration directory for a `.env` file. If found, all
environment variables defined in the file will be made available to the agent's tools.
### Python-Based Agent Tools
Python-based tools are defined exactly the same as they are for custom tool definitions. The only difference is that
instead of a single `run` function, you define as many as you like with whatever arguments you like.
**Example:**
`agents/my-agent/tools.py`
```python
import urllib.request
def get_ip_info():
"""
Get your IP information
"""
with urllib.request.urlopen("https://httpbin.org/ip") as response:
data = response.read()
return data.decode('utf-8')
def get_ip_address_from_aws():
"""
Find your public IP address using AWS
"""
with urllib.request.urlopen("https://checkip.amazonaws.com") as response:
data = response.read()
return data.decode('utf-8')
```
Loki automatically compiles these as separate functions for the LLM to call. No extra work is needed. Just make sure you
follow all the same steps to define each function as you would when creating custom Python tools.
For more information on how to build tools in Python, refer to the [custom Python tools documentation](./function-calling/CUSTOM-TOOLS.md#custom-python-based-tools)
### Bash-Based Agent Tools
Bash-based agent tools are virtually identical to custom bash tools, with only one difference. Instead of defining a
single entrypoint via the `main` function, you actually define as many subcommands as you like.
**Example:**
`agents/my-agent/tools.sh`
```bash
#!/usr/bin/env bash
# @env LLM_OUTPUT=/dev/stdout The output path
# @describe Discover network information about your computer and its place in the internet
# Use the `@cmd` annotation to define subcommands for your script.
# @cmd Get your IP information
get_ip_info() {
curl -fsSL https://httpbin.org/ip >> "$LLM_OUTPUT"
}
# @cmd Find your public IP address using AWS
get_ip_address_from_aws() {
curl -fsSL https://checkip.amazonaws.com >> "$LLM_OUTPUT"
}
```
To compile the script so it's executable and testable:
```bash
$ loki --build-tools
```
Then you can execute your script (assuming your current working directory is `agents/my-agent`):
```bash
$ ./tools.sh get_ip_info
$ ./tools.sh get_ip_address_from_aws
```
All other special annotations (`@env`, `@arg`, `@option` `@flags`) apply to subcommands as well, so be sure to follow
the same syntax ad formatting as is used to create custom bash tools globally.
For more information on how to write, [build and test](function-calling/CUSTOM-BASH-TOOLS.md#execute-and-test-your-bash-tools) tools in bash, refer to the
[custom bash tools documentation](function-calling/CUSTOM-BASH-TOOLS.md).
## 5. Conversation Starters
It's often helpful to also have some conversation starters so users know what kinds of things the agent is capable of
doing. These are available in the REPL via the `.starter` command and are selectable.
They are defined using the `conversation_starters` setting in your agent's configuration file:
**Example:**
`agents/my-agent/config.yaml`:
```yaml
conversation_starters:
- What is my username?
- What is my current shell?
- What is my ip?
- How much disk space is left on my PC??
- How to create an agent?
```
![Example Conversation Starters](./images/agents/conversation-starters.gif)
## Built-In Agents
Loki comes packaged with some useful built-in agents:
* `coder`: An agent to assist you with all your coding tasks
* `demo`: An example agent to use for reference when learning to create your own agents
* `jira-helper`: An agent that assists you with all your Jira-related tasks
* `sql`: A universal SQL agent that enables you to talk to any relational database in natural language
-211
View File
@@ -1,211 +0,0 @@
# AIChat to Loki Migration Guide
Loki originally started as a fork of AIChat but has since evolved into its own separate project with separate goals.
As a result, there's some changes you'll need to make to your AIChat configuration to be able to use Loki.
Be sure you've run `loki` at least once so that the Loki configuration directory and subdirectories exist and is
populated with the built-in defaults.
## Global Configuration File
You should be able to copy/paste your AIChat configuration file into your Loki configuration directory. Since the
location of the Loki configuration directory varies between systems, you can use the following command to locate your
config directory:
```shell
loki --info | grep 'config_dir' | awk '{print $2}'
```
Then, you'll need to make the following changes:
* `function_calling` -> `function_calling_support`
* `use_tools` -> `enabled_tools`
* `agent_prelude` -> `agent_session`
* `compress_threshold` -> `compression_threshold`
* `summarize_prompt` -> `summarization_prompt`
* `summary_prompt` -> `summary_context_prompt`
## Roles
Locate your `roles` directory using the following command:
```shell
loki --info | grep 'roles_dir' | awk '{print $2}'
```
Update any roles that have `use_tools` to `enabled_tools`.
## Sessions
Locate your `sessions` directory using the following command:
```shell
loki --info | grep 'sessions_dir' | awk '{print $2}'
```
Update the following settings:
* `use_tools` -> `enabled_tools`
* `compress_threshold` -> `compression_threshold`
* `summarize_prompt` -> `summarization_prompt`
* `summary_prompt` -> `summary_context_prompt`
---
# LLM Functions Changes
Probably the most significant difference between AIChat and Loki is how tools are handled. So if you cloned the
[llm-functions](https://github.com/sigoden/llm-functions) repo, you'll need to make the following changes.
**Note: JavaScript functions are not supported in Loki.**
The following guide assumes you're using the `llm-functions` repository as your base for custom functions, and thus
follows that directory structure.
## Agents
Agents are now all handled in one place: the `agents` directory (`<loki-config-dir>/agents`):
```shell
loki --info | grep 'agents_dir' | awk '{print $2}'
```
And instead of separate `index.yaml` and `config.yaml` files, they're now both in a single `config.yaml` file.
So now for all of your agents, copy all the contents of those directories to the corresponding directory in the Loki
`agents` directory. Then make the following changes:
* Copy the contents of your `<aichat-config-dir>/functions/agents` directory into `<loki-config-dir/agents`
* Merge `index.yaml` into `config.yaml`
* If you never created a custom `config.yaml` file, then simply rename `index.yaml` to `config.yaml`
* If you've defined an `agent_prelude`, rename that field to `agent_session`
* Convert all JavaScript tools to either Python or Bash
* For Bash `tools.sh`: Remove the following line:
```bash
eval "$(argc --argc-eval "$0" "$@")"
```
* Any `tools.txt` files you have that define what global functions the agent uses is now replaced by the `global_tools`
field in the agent's `config.yaml`. So for example: If your `tools.txt` looks like this:
```text
fs_mkdir.sh
fs_ls.sh
fs_patch.sh
fs_cat.sh
```
then you need to add the following to your agent's `config.yaml`:
```yaml
global_tools:
- fs_mkdir.sh
- fs_ls.sh
- fs_patch.sh
- fs_cat.sh
```
* If you have any bash `tools.sh` that depend on the utility scripts in the `llm-functions` repository, they've been
replaced by built-in utility scripts. So use the following to replace any matching lines in your `tools.sh` files:
```bash
##################
## Scripts file ##
##################
ROOT_DIR="${LLM_ROOT_DIR:-$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)}"
# replace with
source "$LLM_PROMPT_UTILS_FILE"
#######################
## guard_path script ##
#######################
"$ROOT_DIR/utils/guard_path.sh"
# replace with
guard_path
############################
## guard_operation script ##
############################
"$ROOT_DIR/utils/guard_operation.sh"
# replace with
guard_operation
######################
## patch.awk script ##
######################
awk -f "$ROOT_DIR/utils/patch.awk"
# replace with
patch_file
```
When you're done with this migration, you should have the following:
* No more `functions/agents` directory
* No `functions/agents.txt` file (Loki assumes that if the agent directory exists, it is loadable)
* No `<loki-config-dir>/agents/<agent-name>/tools.txt`
* No `<loki-config-dir>/agents/<agent-name>/index.yaml`
## Functions
Loki consolidates much of the `llm-functions` repo functionality into one binary. So this means
* There's no need to have `argc` installed anymore
* No separate repository to manage
* No `tools.txt`
* No `functions.json`
* No `functions/mcp` directory at all
* No `functions/scripts`
Here's how to migrate your functions over to Loki from the `llm-functions` repository.
* Copy your AIChat `<aichat-config-dir>/functions` directory into your Loki config directory
* Delete the following files and directories from your `<loki-config-dir>/functions` directory:
* `scripts/`
* `agents.txt`
* `functions.json`
* `Argcfile.sh`
* `README.md` (irrelevant now)
* `LICENSE` (irrelevant now)
* `utils/guard_operation.sh`
* `utils/guard_path.sh`
* `utils/patch.awk`
* Everything in `tools.txt` now lives in the global config file under the `visible_tools` setting:
```text
get_current_weather.sh
execute_command.sh
web_search.sh
#execute_py_code.py
query_jira_issues.sh
```
becomes the following in your `<loki-config-dir>/config.yaml`
```yaml
visible_tools:
- get_current_weather.sh
- execute_command.sh
- web_search.sh
# - web_search.sh
- query_jira_issues.sh
```
* If you've defined a `functions/mcp.json` file, you can leave it alone.
* Similarly to agents, if you have any bash `tools.sh` that depend on the utility scripts in the `llm-functions`
repository, they've been replaced by built-in utility scripts. So use the following to replace any matching lines in
your `tools.sh` files:
```bash
##################
## Scripts file ##
##################
ROOT_DIR="${LLM_ROOT_DIR:-$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)}"
# replace with
source "$LLM_PROMPT_UTILS_FILE"
#######################
## guard_path script ##
#######################
"$ROOT_DIR/utils/guard_path.sh"
# replace with
guard_path
############################
## guard_operation script ##
############################
"$ROOT_DIR/utils/guard_operation.sh"
# replace with
guard_operation
######################
## patch.awk script ##
######################
awk -f "$ROOT_DIR/utils/patch.awk"
# replace with
patch_file
```
Refer to the [custom bash tools docs](./function-calling/CUSTOM-BASH-TOOLS.md) to learn how to compile and test bash
tools in Loki without needing to use `argc`.
-106
View File
@@ -1,106 +0,0 @@
# Environment Variables
Loki is designed to be highly dynamic and customizable. As a result, Loki utilizes a number of environment variables
that can be used to modify its behavior at runtime without needing to modify the existing configuration files.
Loki also supports defining environment variables via a `.env` file in the Loki configuration directory. This directory
varies between systems, so you can find the location of your configuration directory using the following command:
```shell
loki --info | grep 'config_dir' | awk '{print $2}'
```
## Quick Links
<!--toc:start-->
- [Global Configuration Related Variables](#global-configuration-related-variables)
- [Client Related Variables](#client-related-variables)
- [Files and Directory Related Variables](#files-and-directory-related-variables)
- [Agent Related Variables](#agent-related-variables)
- [Logging Related Variables](#logging-related-variables)
<!--toc:end-->
---
## Global Configuration Related Variables
All configuration items in the global config file have environment variables that can be overridden at runtime. To see
all configuration options and more thorough descriptions, refer to the [example config file](../config.example.yaml).
Below are the most commonly used configuration settings and their corresponding environment variables:
| Setting | Environment Variable |
|----------------------------|---------------------------------|
| `model` | `LOKI_MODEL` |
| `temperature` | `LOKI_TEMPERATURE` |
| `top_p` | `LOKI_TOP_P` |
| `stream` | `LOKI_STREAM` |
| `save` | `LOKI_SAVE` |
| `editor` | `LOKI_EDITOR` |
| `wrap` | `LOKI_WRAP` |
| `wrap_code` | `LOKI_WRAP_CODE` |
| `save_session` | `LOKI_SAVE_SESSION` |
| `compression_threshold` | `LOKI_COMPRESSION_THRESHOLD` |
| `function_calling_support` | `LOKI_FUNCTION_CALLING_SUPPORT` |
| `enabled_tools` | `LOKI_ENABLED_TOOLS` |
| `mcp_server_support` | `LOKI_MCP_SERVER_SUPPORT` |
| `enabled_mcp_servers` | `LOKI_ENABLED_MCP_SERVERS` |
| `rag_embedding_model` | `LOKI_RAG_EMBEDDING_MODEL` |
| `rag_reranker_model` | `LOKI_RAG_RERANKER_MODEL` |
| `rag_top_k` | `LOKI_RAG_TOP_K` |
| `rag_chunk_size` | `LOKI_RAG_CHUNK_SIZE` |
| `rag_chunk_overlap` | `LOKI_RAG_CHUNK_OVERLAP` |
| `highlight` | `LOKI_HIGHLIGHT` |
| `theme` | `LOKI_THEME` |
| `serve_addr` | `LOKI_SERVE_ADDR` |
| `user_agent` | `LOKI_USER_AGENT` |
| `save_shell_history` | `LOKI_SAVE_SHELL_HISTORY` |
| `sync_models_url` | `LOKI_SYNC_MODELS_URL` |
## Client Related Variables
The following environment variables are available for clients in Loki:
| Environment Variable | Description |
|----------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| `{client}_API_KEY` | For clients that require an API key, you can define the keys either through environment variables or <br>using the [vault](./VAULT.md). The variables are named after the client to which they apply; <br>e.g. `OPENAI_API_KEY`, `GEMINI_API_KEY`, etc. |
| `LOKI_PLATFORM` | Combine with `{client}_API_KEY` to run Loki without a configuration file. <br>This variable is ignored if a configuration file exists. |
| `LOKI_PATCH_{client}_CHAT_COMPLETIONS` | Patch chat completion requests to models on the corresponding client; Can modify the URL, body, <br>or headers. |
| `LOKI_SHELL` | Specify the shell that Loki should be using when executing commands |
## Files and Directory Related Variables
You can also customize the files and directories that Loki loads its configuration files from:
| Environment Variable | Description | Default Value |
|----------------------|------------------------------------------------------------------------|---------------------------------|
| `LOKI_CONFIG_DIR` | Customize the location of the Loki configuration directory. | `<user-config-dir>/loki` |
| `LOKI_ENV_FILE` | Customize the location of the `.env` file to load at startup. | `<loki-config-dir>/.env` |
| `LOKI_CONFIG_FILE` | Customize the location of the global `config.yaml` configuration file. | `<loki-config-dir>/config.yaml` |
| `LOKI_ROLES_DIR` | Customize the location of the `roles` directory. | `<loki-config-dir>/roles` |
| `LOKI_SESSIONS_DIR` | Customize the location of the `sessions` directory. | `<loki-config-dir>/sessions` |
| `LOKI_RAGS_DIR` | Customize the location of the `rags` directory. | `<loki-config-dir>/rags` |
| `LOKI_FUNCTIONS_DIR` | Customize the location of the `functions` directory. | `<loki-config-dir>/functions` |
## Agent Related Variables
You can also customize the location of full agent configurations using the following environment variables:
| Environment Variable | Description |
|------------------------------|-------------------------------------------------------------------------------------------------------------------------------------|
| `<AGENT_NAME>_CONFIG_FILE` | Customize the location of the agent's configuration file; e.g. `SQL_CONFIG_FILE` |
| `<AGENT_NAME>_MODEL` | Customize the `model` used for the agent; e.g `SQL_MODEL` |
| `<AGENT_NAME>_TEMPERATURE` | Customize the `temperature` used for the agent; e.g. `SQL_TEMPERATURE` |
| `<AGENT_NAME>_TOP_P` | Customize the `top_p` used for the agent; e.g. `SQL_TOP_P` |
| `<AGENT_NAME>_GLOBAL_TOOLS` | Customize the `global_tools` that are enabled for the agent (a JSON string array); e.g. `SQL_GLOBAL_TOOLS` |
| `<AGENT_NAME>_MCP_SERVERS` | Customize the `mcp_servers` that are enabled for the agent (a JSON string array); e.g. `SQL_MCP_SERVERS` |
| `<AGENT_NAME>_AGENT_SESSION` | Customize the `agent_session` used with the agent; e.g. `SQL_SESSION` |
| `<AGENT_NAME>_INSTRUCTIONS` | Customize the `instructions` for the agent; e.g. `SQL_INSTRUCTIONS` |
| `<AGENT_NAME>_VARIABLES` | Customize the `variables` used for the agent (in JSON format of `[{"key1": "value1", "key2": "value2"}]`); <br>e.g. `SQL_VARIABLES` |
## Logging Related Variables
The following variables can be used to change the log level of Loki or the location of the log file:
| Environment Variable | Description | Default Value |
|----------------------|---------------------------------------------|----------------------------------|
| `LOKI_LOG_LEVEL` | Customize the log level of Loki | `INFO` |
| `LOKI_LOG_FILE` | Customize the location of the Loki log file | `<user-cache-dir>/loki/loki.log` |
**Pro-Tip:** You can always tail the Loki logs using the `--tail-logs` flag. If you need to disable color output, you
can also pass the `--disable-log-colors` flag as well.
-103
View File
@@ -1,103 +0,0 @@
# Macros
Macros are essentially Loki "scripts"; that is, a predefined sequence of REPL commands that automate repetitive tasks or
workflows. Macros run in isolated environments, ensuring that the macros don't inherit any pre-existing role, session,
RAG, or agent state, and they will not affect your current context.
This isolation ensures that your workspace remains clean and unaffected by macro operations.
![Macro Example](./images/macros/macros-example.gif)
For more information on Loki's REPL, refer to the [REPL](./REPL.md) documentation.
## Quick Links
<!--toc:start-->
- [Macro Definition](#macro-definition)
- [Step Definitions](#step-definitions)
- [Macro Variables](#macro-variables)
- [Built-In Macros](#built-in-macros)
<!--toc:end-->
---
## Macro Definition
Macros are defined as YAML files in the `macros` subdirectory of your Loki configuration directory. The Loki configuration
directory can vary between systems, so to find the location of your macros config directory, you can use the following
command:
```shell
loki --info | grep 'macros_dir' | awk '{print $2}'
```
Macro definitions are broken into two parts: the `steps` of the macro, and an optional `variables` section that lets
users pass in variables to alter the behavior of the macro at runtime.
### Step Definitions
The step definitions for a macro are straightforward: They are simply the exact commands you would otherwise type in the
REPL.
**Example: Macro to generate a git commit message**
`macros/generate-commit-message.yaml`
```yaml
steps:
- .file `git diff` -- generate git commit message
```
Usage:
```shell
$ loki --macro generate-commit-message
>> .file `git diff` -- generate a git commit message
Add documentation on macros
```
For a full example configuration, refer to the [example macro configuration file](../config.macro.example.yaml) in the root of this project.
### Macro Variables
Sometimes it's useful to be able to modify the behavior of a macro at runtime. This is achieved with the `variables`
array of the macro definition.
To pass variables to a macro, since they are just Loki scripts, the syntax is the same as it is for any other scripting
language: You just pass them alongside your invocation.
**Example:**
```shell
$ loki --macro example-variable-macro first_argument second_argument
```
Each variable in the `variables` array has the following properties:
* `name` (Required): the name of the variable, which can be referenced in the actual steps of the macro using the
`{{name}}` syntax.
* `default` (Optional): A default value for the variable if no value is specified. If no default value is defined, and
no value is provided for the variable at runtime, Loki will error out.
* `rest` (Optional, Boolean): When set to `true`, this variable will collect all remaining arguments passed to the
macro. This behavior is only applicable when the variable is the last variable in the list. By default, this is
`false`.
The `variables` array is order-dependent; that is to say that all arguments passed to the macro are positional. So be
careful about the ordering if that is important to your macro's invocation.
**Example: Simple variable example to invoke an agent**
`macros/invoke-agent.yaml`
```yaml
variables:
- name: agent # No default value means this must be defined at runtime
- name: args
rest: true # All remaining arguments to the macro are collected into this variable
default: What can you do? # This is used if no value is passed at runtime
steps:
- .agent {{agent}}
- '{{args}}'
```
Usage:
```shell
$ loki --macro invoke-agent sql
# or
$ loki --macro invoke-agent sql What tables are available?
```
For a full example configuration, refer to the [example macro configuration file](../config.macro.example.yaml) in the root of this project.
## Built-In Macros
Loki comes packaged with some useful built-in macros. These are also good examples if you're looking for more examples
on how to make your own macros, so be sure to check out the [built-in macro definitions](../assets/macros) if you're
looking for more examples.
* `generate-commit-message` - Generate a Git commit message based on the staged changes in the current directory
-299
View File
@@ -1,299 +0,0 @@
# RAG
Retrieval Augmented Generation (RAG) is a method of minimizing LLM hallucinations and extending the model's context
without consuming a significant portion of the context length. It uses documents and other additional resources that you
provide to give the model more context for all of your prompts.
Loki has a built-in vector database and full-text search engine to support RAG knowledge bases for your queries.
The generated knowledge bases are stored in the `rag` subdirectory of your Loki configuration directory. The location of
this directory varies by system, so you can use the following command to find your RAG directory:
```shell
loki --info | grep 'rags_dir' | awk '{print $2}'
```
## Quick Links
<!--toc:start-->
- [Usage](#usage)
- [Persistent RAG](#persistent-rag)
- [Ephemeral RAG](#ephemeral-rag)
- [How It Works](#how-it-works)
- [1. Build](#1-build)
- [2. Lookup](#2-lookup)
- [2a. Reranking (Optional)](#2a-reranking-optional)
- [3. Prompt](#3-prompt)
- [Supported Document Sources](#supported-document-sources)
- [Document Loaders](#document-loaders)
- [Document Loader Usage](#document-loader-usage)
- [Advanced Customizations](#advanced-customizations)
- [Embedding Model](#embedding-model)
- [Reranker](#reranker)
- [Chunk Size](#chunk-size)
- [Trade-Offs](#chunk-size-trade-offs)
- [Chunk Overlap](#chunk-overlap)
- [Top K](#top-k)
- [Trade-Offs](#top-k-trade-offs)
- [RAG Template](#rag-template)
<!--toc:end-->
---
## Usage
There's two ways to use RAG in Loki: A persistent RAG that can be loaded on-demand for queries, and an ephemeral one for
adding RAG to a single specific query.
### Persistent RAG
In the REPL, persistent RAG is initialized via the `.rag` command:
![Persistent RAG example](./images/rag/persistent-rag.gif)
The generated RAG is then saved to the `rag` subdirectory of the Loki configuration, and can then be loaded whenever you
want that knowledge base via either `.rag <name>` or `loki --rag <RAG>`.
### Ephemeral RAG
Short-lived RAG that is only used for a single session or query is loaded using `.file`/`--file`.
You can use it to either execute a prompt from a file, or for temporary RAG. The difference is the usage of the `--`
separator. If you only specify a filename and no `--` separator, Loki will know to read the file contents and pass them
as a query to the model. Otherwise, the `--` separator is read to indicate that this is the end of the list of documents
to load into the ephemeral RAG, and what follows is the query to pass to the model.
```shell
.file prompt.md # Read the file as a prompt
.file %% -- translate the last reply to italian
.file `git diff` -- generate a commit message
```
![Ephemeral RAG Example](./images/rag/ephemeral-rag.gif)
Once the session ends, this RAG will no longer be accessible and is only visible to the current session.
#### The `%%` Document Type
In addition to the usual documents that can be specified for persistent RAG, ephemeral RAG has a special `%%` value.
This value references the content of the last reply. So you can use it like this:
```shell
.file %% -- translate the last reply to italian
```
The `--` indicates that this is the end of your documents and the beginning of your prompt.
#### The `cmd` Document Type
Loki also lets you use command outputs for ephemeral RAG input. Simply enclose the command in backticks:
```shell
.file `git diff` -- generate a commit message
```
The `--` indicates that this is the end of your documents and the beginning of your prompt.
## How It Works
#### 1. Build
When you define RAG, Loki will first "build" the RAG. This means that Loki will consume the documents you specified and
generate [embeddings](https://huggingface.co/spaces/hesamation/primer-llm-embedding) for that text. This essentially just means that Loki translates the document into a language
the LLM can understand.
These embeddings are then stored in an in-memory vector database.
#### 2. Lookup
Loki sits between you and the model. So when you submit a prompt to the model, before Loki ever sends it, it will first
convert your prompt into embeddings (LLM language), and look for relevant snippets of text in the vector database.
Loki then passes the top `n`-snippets of text that it finds in the vector database as additional context to the model
before your prompt.
#### 2a. Reranking (Optional)
The lookup for relevant snippets of texts uses embeddings to find text that is semantically similar to your prompt, and
returns the top `n`-results. This often works fairly well, however these top results aren't always the most relevant for
answering the specific query.
Reranking improves these initial results (say, the top 20-100 text snippets) and re-scores them using a more
sophisticated model. The reranker model will rank documents by their actual usefulness for answering the query to ensure
the most relevant context is passed to the model alongside your query.
This reranking model can be customized for each RAG you build in Loki. See the [Custom Reranker](#reranker) section
below for more details on how to customize this.
#### 3. Prompt
Finally, the text snippets that were looked up in RAG are passed to the model as additional context to your prompt,
giving the model query-specific context to answer your question.
## Supported Document Sources
Loki supports a number of document sources that can be used for RAG:
| Source | Example | Comments |
|--------------------------|-----------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------|
| Files | `/tmp/dir1/file1;/tmp/dir1/file2` | |
| Directory | `/tmp/dir` | Picks up all files in a directory and all its subdirectories |
| Directory (extensions} | `/tmp/dir2/**/*.{md,txt}` | Finds all files in all subdirectories with the specified extensions |
| Recursive Filename | `/tmp/*/LOKI.md` | The following files will be picked up: <br><ul><li>`/tmp/dir1/LOKI.md`</li><li>`/tmp/dir2/subdir1/LOKI.md`</li><li>`/tmp/dir2/subdir2/LOKI.md`</li></ul> |
| URL | `https://www.ohdsi.org/data-standardization/` | Downloads and loads the specified webpage into the <br>knowledge base |
| Recursive URL (Websites) | `https://github.com/OHDSI/Vocabulary-v5.0/wiki/**` | Crawls all pages under the given URL and loads them <br>into the knowledge base |
| Document Loader (custom) | `jina:https://cloud.google.com/bigquery/docs/reference/standard-sql/` | Use a custom document loader to parse the given document |
## Document Loaders
Loki only has built-in support for loading text files. But that functionality can be extended to read all kinds of files
into your knowledge bases. These custom loaders are used by both RAG and for documents specified using the
`.file`/`--file` flags.
In the global configuration file, you can specify loaders for specific document types using the `document_loaders`
setting. Each loader is defined by specifying a name and then a command that Loki will execute to load the document.
The following variables are interpolated at runtime by Loki and can be used as placeholders in your command definitions:
* `$1` (Required) - The input file
* `$2` (Optional) - The output file. If omitted, `stdout` is used as the output destination
**Note:** It is your responsibility to ensure that any tools used to parse documents into text that Loki can read are
installed on your system and are available on your `$PATH`. Loki does not have any built-in way of installing
dependencies for document loaders for you.
The following are some example loaders:
```yaml
document_loaders:
pdf: 'pdftotext $1 -' # Use pdftotext to convert a PDF file to text
# (see https://poppler.freedesktop.org for details on how to install pdftotext)
docx: 'pandoc --to plain $1' # Use pandoc to convert a .docx file to text
# (see https://pandoc.org for details on how to install pandoc)
jina: 'curl -fsSL https://r.jina.ai/$1 -H "Authorization: Bearer {{JINA_API_KEY}}' # Use Jina to translate a website into text;
# Requires a Jina API key to be added to the Loki vault
git: > # Use yek to load a git repository into the knowledgebase (https://github.com/bodo-run/yek)
sh -c "yek $1 --json | jq 'map({ path: .filename, contents: .content })'"
```
### Document Loader Usage
Once you have your loaders defined, you can specify when Loki should use them by prefixing any RAG file/directory/URI
with the name of the loader.
**Example: Load a git repo into RAG**
![Git Repo Loader Example](./images/rag/git-loader.png)
**Example: Use pdf loader for ephemeral RAG**
```shell
$ loki --file pdf:some-file.pdf
```
## Advanced Customizations
For those familiar with RAG, Loki exposes a handful of advanced global settings that can be used to tweak your default
RAG configurations.
### Embedding Model
When Loki queries your RAG knowledge bases, it needs to first convert your query into embeddings. By default, Loki uses
the same embedding model that was used to create the knowledge base in the first place.
This can be customized to any other embedding model available in your configured clients by setting the
`rag_embedding_model` setting in your global Loki configuration file:
```yaml
rag_embedding_model: null # Specifies the embedding model used for context retrieval
```
### Reranker
By default, Loki uses [Reciprocal Rank Fusion (RRF)](https://www.elastic.co/docs/reference/elasticsearch/rest-apis/reciprocal-rank-fusion) to merge vector and keyword search results.
You can change the default reranker model to any other reranking model in your configured clients. To change the default
reranker model, simply change the value of the `rag_reranker_model` setting in your global configuration file:
```yaml
rag_reranker_model: null # By default,
```
### Chunk Size
In the context of RAG, the chunk size is the maximum length of each text chunk (measured in characters) that is created
when splitting documents. In Loki, this defaults to `2000` characters.
You can specify a different global default by setting the `rag_chunk_size` property in your global configuration file:
```yaml
rag_chunk_size: null # Defines the size of chunks for document processing in characters
```
#### Chunk Size Trade-Offs
Keep in mind the following trade-offs when changing the chunk size:
* **Smaller chunks (e.g. 256 characters):** More precise retrieval, better semantic focus, but may lack context or split
important information
* **Larger chunks (e.g. 1024 characters):** More context preserved, fewer chunks to manage, but less precise matching
and more noise in retrieved document
### Chunk Overlap
Chunk overlap in RAG is the number of characters that overlap between consecutive chunks to maintain continuity.
---
**Example:** If the following sentence is cut off at the end of one chunk
`I was doing fine until someone brought up`
You'll ideally want that full sentence to be picked up at the beginning of the next chunk to make sure the full meaning
is captured. So in this example, if your chunk overlap is 42 characters, then the start of the next chunk would look
like this:
`I was doing fine until someone brought up the game. <next sentence>`
---
Often, this value is 10%-20% of the chunk size.
By default, in Loki, this value is 5% the chunk size. You can override this and specify the default chunk overlap (in
characters) that Loki should use as a global default by setting the `rag_chunk_overlap` property in the global Loki
configuration file:
```yaml
rag_chunk_overlap: null # Defines the overlap between chunks
```
### Top K
In RAG, `top_k` represents the top `k`-chunks to return from the vector database query. Think of it like if you search
something on Google and only care about the top 10 results, that's what you'll use for your context.
In Loki, the default value for this is `5`. You can customize this global default by setting the `rag_top_k` property in
your global configuration file:
```yaml
rag_top_k: 5 # Specifies the number of documents to retrieve for answering queries
```
#### Top K Trade-Offs
When customizing this value, keep in mind the following trade-offs so you get the best performance:
* **Lower top_k (e.g. 3):** Faster, more focused context, lower cost, but risks missing relevant information
* **Higher top_k (e.g. 10):** More comprehensive coverage, but more noise, higher latency, increased token costs, and
potential context window constraints
### RAG Template
When you use RAG in Loki, after Loki performs the lookup for relevant chunks of text to add as context to your query, it
will add the retrieved text chunks as context to your query before sending it to the model. The format of this context
is determined by the `rag_template` setting in your global Loki configuration file.
This template utilizes two placeholders:
* `__INPUT__`: The user's actual query
* `__CONTEXT__`: The context retrieved from RAG
These placeholders are replaced with the corresponding values into the template and make up what's actually passed to
the model at query-time.
The default template that Loki uses is the following:
```text
Answer the query based on the context while respecting the rules. (user query, some textual context and rules, all inside xml tags)
<context>
__CONTEXT__
</context>
<rules>
- If you don't know, just say so.
- If you are not sure, ask for clarification.
- Answer in the same language as the user query.
- If the context appears unreadable or of poor quality, tell the user then answer as best as you can.
- If the answer is not in the context but you think you know the answer, explain that to the user then answer with your own knowledge.
- Answer directly and without using xml tags.
</rules>
<user_query>
__INPUT__
</user_query>
```
You can customize this template by specifying the `rag_template` setting in your global Loki configuration file. Your
template *must* include both the `__INPUT__` and `__CONTEXT__` placeholders in order for it to be valid.
-117
View File
@@ -1,117 +0,0 @@
# Customize REPL Prompt
The prompt you see when you start the Loki REPL can be customized to your liking. This is achieved via the `left_prompt`
and `right_prompt` settings in the global Loki configuration file:
```yaml
left_prompt: '{color.red}{model}){color.green}{?session {?agent {agent}>}{session}{?role /}}{!session {?agent {agent}>}}{role}{?rag @{rag}}{color.cyan}{?session )}{!session >}{color.reset} '
right_prompt: '{color.purple}{?session {?consume_tokens {consume_tokens}({consume_percent}%)}{!consume_tokens {consume_tokens}}}{color.reset}'
```
The location of the global configuration file differs between systems, so you can use the following command to find your
global configuration file's location:
```shell
loki --info | grep 'config_file' | awk '{print $2}'
```
## Quick Links
<!--toc:start-->
- [Syntax](#syntax)
- [Variables](#variables)
<!--toc:end-->
## Syntax
The syntax for the prompts consists of plain text and templates contained in `{...}`. The plain text is
printed exactly as given.
The syntax for the templates `{...}` is as follows:
* `{variable}` - Replaced with the value of `variable`
* `{?variable <template>}` - Evaluate the `<template>` when `variable` is evaluated to `true`
* `{!variable <template>}` - Evaluate the `<template>` when `variable` is evaluated to `false`
Where a `<template>` is another expression consisting of plain text and/or more special computations inside `{...}`.
Variables are evaluated to also be "truthy"; that is, if a variable is undefined, it is considered to be the exact same
as if that variable's value was `false`.
**Example 1: Simple Boolean Usage**
For the prompt `{?variable yay}{!variable boo}`, if `variable=true`, then the output will be
```
yay
```
And if `variable=false`:
```
boo
```
**Example 2: Nested Expressions**
For the prompt `{?variable {!variable2 yay}>}`, and assuming
* `variable=true`
* `variable2=false`
the output will be
```
yay>
```
If `variable2=true`, the output will be empty.
If `variable=false`, the output will be empty.
## Variables
The following variables and output modifiers are available to you when you're creating your prompts:
```yaml
# Model Variables
model: openai:gpt-4 # The active model's full name
client_name: openai # The name of the client serving the active model
model_name: gpt-4 # The aliased name of the active model
max_input_tokens: 4096 # The maximum number of input tokens for the active model
# Configuration Variables
temperature: 1.0 # The temperature for the active model
top_p: 0.9 # The top_p for the active model
dry_run: true # Whether the given command is flagged to be a dry run
stream: false # Whether streaming responses are enabled
save: true # Whether shell history is saved
wrap: 120 # The number of characters to allow before wrapping around output to the next line
# Role Variables
role: code # The active role
# Session Variables
session: temp # The name of the active session
dirty: false # Whether the session settings have been updated but not persisted
consume_tokens: 200 # The number of tokens consumed
consume_percent: 1% # The percentage of tokens consumed to the maximum input tokens
user_messages_len: 0 # The total number of sent user messages
# RAG Variables
rag: temp # The name of the active RAG
# Agent Variables
agent: todo-sh # The name of the active agent
# ANSI COLORS
color.reset:
color.black:
color.dark_gray:
color.red:
color.light_red:
color.green:
color.light_green:
color.yellow:
color.light_yellow:
color.blue:
color.light_blue:
color.purple:
color.light_purple:
color.magenta:
color.light_magenta:
color.cyan:
color.light_cyan:
color.white:
color.light_gray:
```
-250
View File
@@ -1,250 +0,0 @@
# Loki REPL Guide
In addition to being a CLI, Loki also has a built-in REPL (Read-Execute-Print-Loop). This enables users to quickly try
out prompts, commands, configurations, and everything in between without having to modify the same command every time.
You can enter the REPL by simply typing `loki` without any follow-up flags or arguments.
## Quick Links
<!--toc:start-->
- [Features](#features)
- [REPL Commands](#repl-commands)
- [`.model` - Change the current LLM](#model---change-the-current-llm)
- [`.role` - Role management](#role---role-management)
- [`.prompt` - Set a temporary role using a prompt](#prompt---set-a-temporary-role-using-a-prompt)
- [`.session` - Session management](#session---session-management)
- [`.agent` - Chat with an AI agent](#agent---chat-with-an-ai-agent)
- [`.rag` - Chat with documents](#rag---chat-with-documents)
- [`.macro` - Execute a macro](#macro---execute-a-macro)
- [`.file` - Read files and use them as input](#file---read-files-and-use-them-as-input)
- [`.vault` - Manage the Loki vault](#vault---manage-the-loki-vault)
- [`.continue` - Continue the previous response](#continue---continue-the-previous-response)
- [`.regenerate` - Regenerate the last response](#regenerate---regenerate-the-last-response)
- [`.copy` - Copy the last response to your clipboard](#copy---copy-the-last-response-to-your-clipboard)
- [`.set` - Adjust runtime settings](#set---adjust-runtime-settings)
- [`.edit` - Modify configuration files](#edit---modify-configuration-files)
- [`.delete` - Delete configurations from Loki](#delete---delete-configurations-from-loki)
- [`.info` - Display information about the current mode](#info---display-information-about-the-current-mode)
- [`.exit` - Exit an agent/role/session/rag or the Loki REPL itself](#exit---exit-an-agentrolesessionrag-or-the-loki-repl-itself)
- [`.help` - Show the help guide](#help---show-the-help-guide)
<!--toc:end-->
---
## Features
The REPL has features that are intended to make your Loki experience as easy and as enjoyable as possible! This includes
things like
* **Tab Autocompletion:** Every command in the REPL (i.e. everything that starts with a `.`) has fuzzy search auto
completions.
* `.<tab>` to complete REPL commands
* `.model <tab>` to complete chat models
* `.set <tab>` to complete configuration keys
* `.set key <tab>` to complete configuration values
* **Multi-Line Prompts:** You can also type prompts that span more than one line to help organize your thoughts. This
can be done in the following ways:
* `Ctrl-o` to open the current input buffer in your preferred editor (either the value of `editor` or `$EDITOR`)
* You can paste multi-line text
* You can type `:::` to start multi-line editing, and use `:::` to finish it.
* And finally, you can use hotkeys like `{ctrl/shift/alt}+enter` or `ctrl-j` to insert a new line directly in the
REPL.
* **History Search** Press `ctrl+r` to search the REPL history, and navigate it with `↑↓`
* **Configurable Keybindings:** You can switch between `emacs` style keybindings or `vi` style keybindings
* [**Custom REPL Prompt:**](./REPL-PROMPT.md) You can even customize the REPL prompt to display information about the
current context in the prompt
---
## REPL Commands
All REPL commands begin with a `.` to indicate that they're not part of a prompt. The following list details the
commands available in Loki:
### `.model` - Change the current LLM
When browsing models in the REPL, use the following legend to understand the purpose of each column in the model table:
```
openai:gpt-4o 128000 / 4096 | 5 / 15 👁 ⚒
| | | | | | └─ supports function calling
| | | | | └─ support vision (multi-modal)
| | | | └─ output price ($/1M)
| | | └─ input price ($/1M)
| | |
| | └─ max output tokens
| └─ max input tokens
└─ model id
```
![model](./images/repl/model.gif)
For more information about how to add models to Loki, refer to the [clients documentation](./clients/CLIENTS.md).
### `.role` - Role management
Loki offers the following commands to manage your roles:
| Command | Description |
|--------------|-------------------------------------------------------------------------|
| `.role` | Create or switch to a role |
| `.info role` | Show information about the active role |
| `.edit role` | Open the active role's configuration file in your preferred text editor |
| `.save role` | Save the active role and its configurations to a configuration file |
| `.exit role` | Exit the active role |
![role](./images/roles/code.gif)
For more information about roles in Loki and how to build them, refer to the [roles documentation](./ROLES.md).
### `.prompt` - Set a temporary role using a prompt
If you need to create a temporary role that you want to discard after use, you use `.prompt`. `.prompt`-based roles
cannot be persisted to a file and saved.
![prompt-role](./images/roles/prompt-role.gif)
### `.session` - Session management
Use the following commands to manage sessions in Loki:
| Command | Description |
|---------------------|---------------------------------------------------------------------------------------------|
| `.session` | Start or switch to a session |
| `.empty session` | Clear all messages for the active session |
| `.compress session` | Compress the session messages using the `summarization_prompt` setting in the global config |
| `.info session` | Display information about the active session |
| `.edit session` | Open the active session's configuration in your preferred text editor |
| `.save session` | Save the active session to a `session` configuration file |
| `.exit session` | Exit the active session |
![sessions](./images/sessions/sessions-example.gif)
For more information on sessions and how to use them in Loki, refer to the [sessions documentation](./SESSIONS.md).
### `.agent` - Chat with an AI agent
Loki lets you build OpenAI GPT-style agents. The following commands let you interact with and manage your agents in
Loki:
| Command | Description |
|----------------------|------------------------------------------------------------|
| `.agent` | Use an agent |
| `.starter` | Display and use conversation starters for the active agent |
| `.edit agent-config` | Open the agent configuration in your preferred text editor |
| `.info agent` | Display information about the active agent |
| `.exit agent` | Leave the active agent |
![agent](./images/agents/sql.gif)
For more information on agents in Loki and how to create them, refer to the [agents documentation](./AGENTS.md).
### `.rag` - Chat with documents
RAG (Retrieval Augmented Generation) enables you to load documents into the LLM so you can ask questions about it or
complete tasks using the documents as additional context.
| Command | Description |
|------------------|------------------------------------------------------------------------------|
| `.rag` | Initialize or access a RAG |
| `.edit rag-docs` | Add or remove documents from the active RAG using your preferred text editor |
| `.rebuild rag` | Rebuild the active RAG to accommodate document changes |
| `.sources rag` | Show a works-cited of the sources used in the last query |
| `.info rag` | Display information about the active RAG |
| `.exit rag` | Exit the active RAG |
![rag](./images/rag/persistent-rag.gif)
For more information about RAG in Loki and how to utilize it, refer to the [rag documentation](./RAG.md).
### `.macro` - Execute a macro
Macros in Loki are like "scripts" of commands that can be run in isolated environments; that means they do not use any
active settings and use the same settings they had when written. They are created/executed using the `.macro <name>`
command.
![macro](./images/macros/macros-example.gif)
For more information on macros in Loki and how to create them, refer to the [macros documentation](./MACROS.md).
### `.file` - Read files and use them as input
Loki lets you specify any number of documents that you can load and use as ephemeral RAG to chat with the LLM. To see
what files or values you can pass to it, simply run the command `.file` with no arguments:
```shell
openai:gpt-4o)> .file
Usage: .file <file|dir|url|%%|cmd>... [-- <text>...]
```
![ephemeral-rag](./images/rag/ephemeral-rag.gif)
For more information about ephemeral RAG, refer to the [ephemeral RAG documentation](./RAG.md#ephemeral-rag).
### `.vault` - Manage the Loki vault
The Loki vault lets users store sensitive secrets and credentials securely so that there's no plaintext secrets
anywhere in your configurations.
![vault](./images/vault/vault-demo.gif)
For more information about the Loki vault, refer to the [vault documentation](./VAULT.md).
### `.continue` - Continue the previous response
When you have a response that exceeds the context length, you can use the `.continue` command to continue the generation
of the last response.
![continue](./images/repl/continue.gif)
### `.regenerate` - Regenerate the last response
If ever your response is interrupted, or you want to try generating it again, you can use the `.regenerate` command to do
this without having to retype your query:
![regenerate](./images/repl/regenerate.gif)
### `.copy` - Copy the last response to your clipboard
If you're trying to copy the last response (like copying some code), you can use the `.copy` command to copy the entire
last response to your system clipboard:
![copy](./images/repl/copy.gif)
### `.set` - Adjust runtime settings
You can use `.set` to adjust select settings at runtime. This is useful when you're experimenting with settings and want
to know how they'll affect Loki. To persist the changes you make, be sure to update them in the global configuration
file.
![set](./images/repl/set.gif)
### `.edit` - Modify configuration files
The `.edit` command lets you modify configuration files for the current mode of the REPL. It will open the selected
configuration in your preferred text editor. It lets you modify the following configurations:
* `.edit config` - Modify the global configuration
* `.edit role` - Modify the active role's configuration
* `.edit session` - Modify the active session's configuration
* `.edit agent-config` - Modify the active agent's configuration
* `.edit rag-docs` - Add or remove documents from the active RAG
### `.delete` - Delete configurations from Loki
The `.delete` command allows you to delete entities in Loki without having to directly run `rm -rf` on the configuration
directory or file corresponding to the target entity. You can use it to delete the following entities:
* `.delete role` - Delete select roles
* `.delete session` - Delete select sessions
* `.delete macro` - Delete select macros
* `.delete rag` - Delete select RAGs
* `.delete agent-data` - Delete select agent's configurations and all tools
### `.info` - Display information about the current mode
The `.info` command provides useful information about different modes that Loki may be operating in. It's helpful if you
want a quick understanding of the system info, a role's configuration, an agent's configuration, etc.
The following entities are supported:
| Command | Description |
|-----------------|-------------------------------------------------------------|
| `.info` | Display system information (identical to the `--info` flag) |
| `.info role` | Display information about the active role |
| `.info session` | Display information about the active session |
| `.info agent` | Display information about the active agent |
| `.info rag` | Display information about the active RAG |
### `.exit` - Exit an agent/role/session/rag or the Loki REPL itself
The `.exit` command is used to move between modes in the Loki REPL.
| Command | Description |
|-----------------|-------------------------|
| `.exit role` | Exit the active role |
| `.exit session` | Exit the active session |
| `.exit agent` | Exit the active agent |
| `.exit rag` | Exit the active RAG |
| `.exit` | Exit the Loki REPL |
### `.help` - Show the help guide
Just like with any shell or REPL, you sometimes need a little help and want to know what commands are available to you.
That's when you use the `.help` command.
-266
View File
@@ -1,266 +0,0 @@
# Roles
When customizing the behavior or LLMs, we use roles to "constrain" the responses or behavior of the LLM to whatever
purpose we desire.
Think of them kind of like a baby: That baby can grow up to do anything! Be a resume builder, teacher, engineer, etc.
The only difference is that with roles, we're explicitly telling the LLM what we want it to be. Also: the LLM is already
grown up so we don't have to wait!
![Role demo](./images/roles/code.gif)
## Quick Links
<!--toc:start-->
- [Role Definition](#role-definition)
- [Metadata Header](#metadata-header)
- [Instructions](#instructions)
- [Special Case: Metadata Header Only](#special-case-metadata-header-only)
- [Prompt Types](#prompt-types)
- [Embedded Prompts](#embedded-prompts)
- [System Prompts](#system-prompts)
- [Few-Shot Prompt](#few-shot-prompt)
- [Built-In Roles](#built-in-roles)
<!--toc:end-->
---
## Role Definition
Roles in Loki are Markdown files that live in the `roles` directory of your Loki configuration. Loki configuration
locations vary between systems, so you can use the following command to find the location of your roles configuration
directory:
```shell
loki --info | grep 'roles_dir' | awk '{print $2}'
```
All role configuration files have two parts: The metadata header, and the instructions.
**Example:** An expert resume builder role that specializes in helping users build and refine their resumes.
```markdown
---
# This is the metadata header
name: resume-builder
model: openai:gpt-4o
temperature: 0.2
top_p: 0
enabled_tools: fs_ls,fs_cat
enabled_mcp_servers: github
---
<!-- This is the instructions -->
You are an expert resume builder.
```
To see a full example configuration for a role, refer to the [example role configuration](../config.role.example.md)
file in the root of the repo.
### Metadata Header
The metadata header in all role configuration files is completely optional. It lets you define role-specific settings
for each role that make the model work the way you want for your role. This includes things like forcing your role to
always use a specific model, set of tools, and tailoring the hyperparameters of the model for your role.
The header consists of a YAML-formatted list of settings that let you customize the model behavior for your role. These
settings sit between `---` separators in your role configuration so Loki knows they're not part of the instructions you
want to feed the model.
The following table lists the available configuration settings and their default values (if undefined):
| Setting | Default | Description |
|-----------------------|----------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------|
| `name` | The name of the role markdown file | The name of the role |
| `model` | Default configured model or currently in-use model (REPL mode) | The preferred model to use with this role |
| `temperature` | Default `temperature` for the preferred model | Controls the creativity and randomness of the model's responses |
| `top_p` | Default `top_p` for the preferred model | Alternative way to control the model's output diversity, affecting the <br>probability distribution of tokens |
| `enabled_tools` | Global setting for `enabled_tools` | The tools that this role utilizes |
| `enabled_mcp_servers` | Global setting for `enabled_mcp_servers` | The MCP servers that this role utilizes |
| `prompt` | `null` | See [Prompt Types](#prompt-types) for detailed usage |
### Instructions
The instructions for a role is what you use to tell the model how you want it to behave. This typically consists of one
or two sentences, but can be more. To see some examples, look at the [built-in roles](../assets/roles) to see how they are defined.
**Pro-Tip:** The struggle to create good instructions for a role (or any other kind of instructions for your model) is
so common, that Loki comes with a role to help you write instructions for roles! Simply invoke the role to start
creating a role with the `create-prompt` role:
```shell
loki -r create-prompt
```
### Special Case: Metadata Header Only
When instructions are defined, the metadata header is optional. However sometimes we want a way to enable specific
functions or MCP servers when prompting different models. In this situation, you need only specify the metadata header
to just enable these settings as you like.
**Example: Role that enables all filesystem tools**
`roles/filesystem-functions.md`
```markdown
---
enabled_tools: fs_ls,fs_cat,fs_mkdir,fs_patch,fs_write
---
```
**Example: Role that enables the GitHub MCP server with the ollama:deepseek-r1 model**
`roles/github.md`
```markdown
---
model: ollama:deepseek-r1
enabled_mcp_servers: github
---
```
For more examples of this special use case of roles, you can look at the role configuration files for the following
built-in roles:
* [explain-shell](../assets/roles/explain-shell.md) - Explains cryptic shell commands in natural language
* [functions](../assets/roles/functions.md) - Enables all available functions (i.e. all globally `visible_functions`)
* [mcp-servers](../assets/roles/mcp-servers.md) - Enables all available MCP servers
## Special Variables
Loki has a set of built-in special variables that it will inject into your role's instructions if it finds them in the
`{{variable_name}}` syntax. The available special variables are listed below:
| Name | Description | Example |
|-----------------|-----------------------------------------------------------|----------------------------|
| `__os__` | Operating system name | `linux` |
| `__os_family__` | Operating system family | `unix` |
| `__arch__` | System architecture | `x86_64` |
| `__shell__` | The current user's default shell | `bash` |
| `__locale__` | The current user's preferred language and region settings | `en-US` |
| `__now__` | Current timestamp in ISO 8601 format | `2025-11-07T10:15:44.268Z` |
| `__cwd__` | The current working directory | `/tmp` |
## Prompt Types
In Loki, you can also create roles with pre-configured prompts so you can template prompts for your use cases. This is
the purpose of the `prompt` field in the role's metadata header.
There's three types of prompts you can create:
### Embedded Prompts
Embedded prompts let you create templated prompts for any input given to it. They are ideal for concise, input-driven
replies from the model. The input that users pass to Loki are injected into your prompt via a `__INPUT__` placeholder in
your prompt.
**Example: Role to convert the given input to TOML**
`roles/convert-to-toml.md`
```markdown
---
prompt: convert __INPUT__ to TOML
---
Convert the given input to TOML format. Exclude any markdown formatting or code blocks and only output code.
```
Usage:
```shell
$ loki -r json-to-toml '{"test":"hi me"}'
test = "hi me"
```
Without the instructions (i.e. the prompt after the metadata header), this role would simply generate the following
message for the model:
```json
[
{"role": "user", "content": "convert {\"test\":\"hi me\"} to TOML"}
]
```
### System Prompts
System prompts let you set the general context of the LLMs behavior. This is no different than other system prompts you
define in ChatGPT, Claude, Open WebUI, etc.
They are essentially Embedded Prompts without an `__INPUT__` placeholder.
**Example: Role to convert all input words to emoji**
`roles/emoji.md`
```markdown
---
prompt: convert my words to emojis
---
Convert all given input words into emojis
```
Usage:
```shell
$ loki -r emoji music joy
🎵 😊
```
Without the instructions (i.e. the prompt after the metadata header), this role would simply generate the following
messages for the model:
```json
[
{"role": "system", "content": "convert my words to emojis"},
{"role": "user", "content": "music joy"}
]
```
### Few-Shot Prompt
[Few-Shot prompting](https://www.promptingguide.ai/techniques/fewshot) is a technique to enable in-context learning for LLMs by providing examples in the prompt to steer
the model to better performance. In Loki, this is done as an extension of System Prompts.
**Example: Role to output code only**
`roles/code-generator.md`
~~~markdown
---
prompt: |-
Output code only without comments or explanations.
### INPUT:
async sleep in js
### OUTPUT:
```javascript
async function timeout(ms) {
return new Promise(resolve => setTimeout(resolve, ms));
}
```
---
Output code only in response to the user's request
~~~
Usage:
~~~shell
$ loki -r code-generator python add two numbers
```python
# Function to add two numbers
def add_numbers(num1, num2):
return num1 + num2
# Example usage
number1 = 5
number2 = 7
result = add_numbers(number1, number2)
print(f"The sum of {number1} and {number2} is {result}.")
```
~~~
Without the instructions (i.e. the prompt after the metadata header), this role would simply generate the following
messages for the model:
```json
[
{"role": "system", "content": "Output code only without comments or explanations."},
{"role": "user", "content": "async sleep in js"},
{"role": "assistant", "content": "```javascript\nasync function timeout(ms) {\n return new Promise(resolve => setTimeout(resolve, ms));\n}\n```"},
{"role": "user", "content": "python add two numbers"}
]
```
## Built-In Roles
Loki comes packaged with some useful built-in roles. These are also good examples if you're looking for more examples on
how to make your own roles, so be sure to check out the [built-in role definitions](../assets/roles) if you're looking
for more examples.
* `code`: Generates code (used by `loki -c`)
* `create-prompt`: Creates a prompt based on the user's input
* `create-title`: Creates 3-6 word titles based on the user's input
* `explain-shell`: Explains shell commands
* `functions`: Enable all globally-visible functions
* `github`: Interact with GitHub using natural language
* `mcp-servers`: Enables all MCP servers
* `repo-analyzer`: Ask questions about the code repository in the current working directory
* `shell`: Convert natural language into shell commands (used by `loki -e`)
* `slack`: Interact with Slack using natural language
## Temporary Roles
Loki also enables you to create temporary roles that will be discarded once you're finished with them. This is done via
the `.prompt/--prompt` command:
![prompt role](./images/roles/prompt-role.gif)
-44
View File
@@ -1,44 +0,0 @@
# Sessions
By default, Loki does not send back all previous messages in a conversation to the model. This means that each time you
query a model, it's essentially a one-off. However, Loki does support chat-like conversations with LLMs via its
`sessions` mechanism.
Sessions in Loki enable the familiar conversational interactions with LLMs. This means you can reference previous
answers and ask follow-up questions and the model will know what you're referring to.
Sessions can be temporary, or can be saved so you can continue conversations at a later time.
Saved sessions are stored in the `sessions` subdirectory of the Loki configuration directory. The location of the
`sessions` directory varies by system, so you can use the following command to find the `sessions` directory if you need
it:
```shell
loki --info | grep 'sessions_dir' | awk '{print $2}'
```
## Usage
When you use a session in Loki, you can either persist it or discard it once you're done. Sessions you discard are then
just considered 'temporary' sessions.
![Persistent Session Example](./images/sessions/sessions-example.gif)
Sessions you persist and then load again later will inherit the same configuration as was used during the last usage of
that session. That is to say, if you had certain tools or MCP servers enabled when you were last in that session, they
will be available again when you continue that session.
## Configuration
Session behavior can be configured from the global Loki configuration file. The location of this file varies between
systems so you can use the following command to locate it on your system:
```shell
loki --info | grep 'config_file' | awk '{print $2}'
```
The following settings are available to customize the default behavior of sessions globally:
| Setting | Description |
|--------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| `save_session` | Controls the persistence of the session. <br><ul><li>If `true`, then any time you're in a session, changes will auto-save unless explicitly defined otherwise.</li> <li>If `false`, then any time you're in a session, changes will not auto-save unless explicitly specified otherwise.</li><li>If `null`, Loki will always prompt the user for what to do.</li></ul> |
| `compression_threshold` | Defines the token count threshold at which Loki will compress the session to save on the context length |
| `summarization_prompt` | This is the prompt that is used to compress the session up to a given point when compression is triggered |
| `summary_context_prompt` | This is the prompt that's used to add the summarized conversation generated by the `summarization_prompt` as context to the model |
-104
View File
@@ -1,104 +0,0 @@
# Loki Shell Integrations
Loki supports the following integrations with a handful of shell environments to enhance user experience and streamline workflows.
## Tab Completions
### Dynamic
Dynamic tab completions are supported by Loki to assist users in quickly completing commands, options, and arguments.
You can enable it by using the corresponding command for your shell. To enable dynamic tab completions for every
shell session (i.e. persistently), add the corresponding command to your shell's configuration file as indicated:
```shell
# Bash
# (add to: `~/.bashrc`)
source <(COMPLETE=bash loki)
# Zsh
# (add to: `~/.zshrc`)
source <(COMPLETE=zsh loki)
# Fish
# (add to: `~/.config/fish/config.fish`)
source <(COMPLETE=fish loki | psub)
# Elvish
# (add to: `~/.elvish/rc.elv`)
eval (E:COMPLETE=elvish loki | slurp)
# PowerShell
# (add to: `$PROFILE`)
$env:COMPLETE = "powershell"
loki | Out-String | Invoke-Expression
```
At the time of writing, `nushell` is not yet fully supported for dynamic tab completions due to limitations
in the [`clap`](https://crates.io/crates/clap) crate. However, `nushell` support is being actively developed, and will
be added in a future release.
Progress on this feature can be tracked in the following issue: [Clap Issue #5840](https://github.com/clap-rs/clap/issues/5840).
### Static
Static tab completions (i.e. pre-generated completion scripts that are not context aware) can also be generated using the
`--completions` flag. You can enable static tab completions by using the corresponding commands for your shell. These commands
will enable them for every shell session (i.e. persistently):
```shell
# Bash
echo 'source <(loki --completions bash)' >> ~/.bashrc
# Zsh
echo 'source <(loki --completions zsh)' >> ~/.zshrc
# Fish
echo 'loki --completions fish | source' >> ~/.config/fish/config.fish
# Elvish
echo 'eval (loki --completions elvish | slurp)' >> ~/.elvish/rc.elv
# Nushell
[[ -d ~/.config/nushell/completions ]] || mkdir -p ~/.config/nushell/completions
loki --completions nushell | save -f ~/.config/nushell/completions/loki.nu
echo 'use ~/.config/nushell/completions/cli.nu *' >> ~/.config/nushell/config.nu
# PowerShell
Add-content $PROFILE "loki --completions powershell | Out-String | Invoke-Expression"
```
## Shell Assistant
Loki has an `-e,--execute` flag that allows users to run natural language commands directly from the CLI. It accepts
natural language input and translates it into executable shell commands.
![Shell Assistant Demo](./images/shell_integrations/assistant.gif)
## Intelligent Command Completions
Loki also provides shell scripts that bind `Alt-e` to `loki -e "<current command line>"`, allowing users to generate
commands from natural text directly without invoking the CLI.
For example:
```shell
$ find all typescript files with more than 100 lines<Alt-e>
# Gets replaced with
$ find . -name '*.ts' -type f -exec awk 'NR>100{exit 1}' {} \; -print
```
To use the CLI helper, add the content of the appropriate integration script for your shell to your shell configuration file:
* [Bash Integration](../scripts/shell-integration/integration.bash) (add to: `~/.bashrc`)
* [Zsh Integration](../scripts/shell-integration/integration.zsh) (add to: `~/.zshrc`)
* [Elvish Integration](../scripts/shell-integration/integration.elv) (add to: `~/.elvish/rc.elv`)
* [Fish Integration](../scripts/shell-integration/integration.fish) (add to: `~/.config/fish/config.fish`)
* [Nushell Integration](../scripts/shell-integration/integration.nu) (add to: `~/.config/nushell/config.nu`)
* [PowerShell Integration](../scripts/shell-integration/integration.ps1) (add to: `$PROFILE`)
## Explain Commands
In addition to the Shell Assistant, Loki has a built-in role that explains shell commands to you to decipher their
language. So if Loki generates a command that you're unsure of what it does, simply pass it to the `explain-shell` role:
![Explain Shell Role](./images/shell_integrations/explain-shell.png)
## Code Generation
Users can also directly generate code snippets from natural language prompts using the `-c,--code` flag.
![Code Generation Demo](./images/shell_integrations/code-generation.gif)
**Pro Tip:** Pipe the output of the code generation directly into `tee` to ensure the generated code is properly extracted
from any generated Markdown (i.e. remove any triple backticks).
-71
View File
@@ -1,71 +0,0 @@
# Theming Loki
Loki supports customizing the theme via a `.tmTheme` file.
## Setup
To install a custom theme, download the `.tmTheme` file to the Loki configuration directory and name it `dark.tmTheme`
or `light.tmTheme`. The location of the Loki configuration directory varies between systems, so you can use the
following command to locate it on your system:
```shell
loki --info | grep 'config_dir' | awk '{print $2}'
```
## Themes
### 1337-Scheme
https://raw.githubusercontent.com/MarkMichos/1337-Scheme/ca6a329cfda8307449d405b70f8fab34b8fd23b5/1337.tmTheme
![1337-scheme](./images/themes/1337-scheme.png)
### Coldark
https://raw.githubusercontent.com/ArmandPhilippot/coldark-bat/e44750b2a9629dd12d8ed3ad9fd50c77232170b9/Coldark-Dark.tmTheme
![coldark](./images/themes/coldark.png)
### Dracula
https://raw.githubusercontent.com/dracula/sublime/c2de0acf5af67042393cf70de68013153c043656/Dracula.tmTheme
![dracula](./images/themes/dracula.png)
### GitHub
https://raw.githubusercontent.com/AlexanderEkdahl/github-sublime-theme/508740b2430c3c3a9e785fc93ee1d7c6f233af53/GitHub.tmTheme
![github](./images/themes/github.png)
### gruvbox
#### Dark
https://raw.githubusercontent.com/subnut/gruvbox-tmTheme/64c47250e54298b91e2cf8d401320009aba9f991/gruvbox-dark.tmTheme
![gruvbox-dark](./images/themes/gruvbox-dark.png)
#### Light
https://raw.githubusercontent.com/subnut/gruvbox-tmTheme/64c47250e54298b91e2cf8d401320009aba9f991/gruvbox-light.tmTheme
![gruvbox-light](./images/themes/gruvbox-light.png)
### OneHalf
#### Dark
https://raw.githubusercontent.com/sonph/onehalf/141c775ace6b71992305f144a8ab68e9a8ca4a25/sublimetext/OneHalfDark.tmTheme
![onehalf-dark](./images/themes/onehalf-dark.png)
#### Light
https://raw.githubusercontent.com/sonph/onehalf/141c775ace6b71992305f144a8ab68e9a8ca4a25/sublimetext/OneHalfLight.tmTheme
![onehalf-light](./images/themes/onehalf-light.png)
### Solarized
#### Dark
https://raw.githubusercontent.com/braver/Solarized/87e01090cggjf5fb821a234265b3138426ae84900e7/Solarized%20(dark).tmTheme
![solarized-dark](./images/themes/solarized-dark.png)
#### Light
https://raw.githubusercontent.com/braver/Solarized/87e01090cf5fb821a234265b3138426ae84900e7/Solarized%20(light).tmTheme
![solarized-light](./images/themes/solarized-light.png)
### Sublime Snazzy
https://raw.githubusercontent.com/greggb/sublime-snazzy/70343201f1d7539adbba3c79e2fe81c2559a0431/Sublime%20Snazzy.tmTheme
![sublime-snazzy](./images/themes/sublime-snazzy.png)
### TwoDark
https://raw.githubusercontent.com/erremauro/TwoDark/8e0f6fa5b59d196658a22288f519fd8320de4c87/TwoDark.tmTheme
![twodark](./images/themes/twodark.png)
### Visual Studio Dark+
https://raw.githubusercontent.com/vidann1/visual-studio-dark-plus/01ee1e8e0dc578f3b4e8c0dbb6aa0279b4a26a40/Visual%20Studio%20Dark%2B.tmTheme
![visual-studio-dark-plus](./images/themes/visual-studio-dark-plus.png)
### Zenburn
https://raw.githubusercontent.com/colinta/zenburn/86d4ee7a1f884851a1d21d66249687f527fced32/zenburn.tmTheme
![zenburn](./images/themes/zenburn.png)
-161
View File
@@ -1,161 +0,0 @@
# The Loki Vault
The Loki vault lets users store sensitive secrets and credentials securely so that there's no plaintext secrets
anywhere in your configurations.
It's based on the [G-Man library](https://github.com/Dark-Alex-17/gman) (which also comes in a binary format) which
functions as a universal secret management tool.
![Vault Demo](./images/vault/vault-demo.gif)
## Quick Links
<!--toc:start-->
- [Usage](#usage)
- [CLI Usage](#cli-usage)
- [REPL Usage](#repl-usage)
- [Motivation](#motivation)
- [How it works](#how-it-works)
- [Supported Files](#supported-files)
- [Environment Variable Secret Injection in Agents](#environment-variable-secret-injection-in-agents)
<!--toc:end-->
---
## Usage
The Loki vault can be used in one of two ways: via the CLI or via the REPL for interactive usage.
### CLI Usage
The vault is utilized from the CLI with the following flags:
```bash
--add-secret <SECRET_NAME> Add a secret to the Loki vault
--get-secret <SECRET_NAME> Decrypt a secret from the Loki vault and print the plaintext
--update-secret <SECRET_NAME> Update an existing secret in the Loki vault
--delete-secret <SECRET_NAME> Delete a secret from the Loki vault
--list-secrets List all secrets stored in the Loki vault
```
(The above is also documented in `loki --help`)
Loki will guide you through manipulating your secrets to make usage easier.
### REPL Usage
The vault can be access from within the Loki REPL using the `.vault` commands:
![Loki Vault REPL](./images/vault/vault-repl.png)
![Loki Vault REPL Commands](./images/vault/vault-repl-commands.png)
The manipulation of your vault is guided in the same way as the CLI usage, ensuring ease of use.
## Motivation
Loki is intended to be highly configurable and adaptable to many different use cases. This means that users of Loki
should be able to share configurations for agents, tools, roles, etc. with other users or even entire teams.
My objective is to encourage this, and to make it so that users can easily version their configurations using version
control. Good VCS hygiene dictates that one *never* commits secrets or sensitive information to a repository.
Since a number of files and configurations in Loki may contain sensitive information, the vault exists to solve this problem.
Users can either share the vault password with a team, making it so a single configuration can be pulled from VCS and used
by said team. Alternatively, each user can maintain their own vault password and expect other users to replace secret values
with their user-specific secrets.
## How it works
When you first start Loki, if you don't already have a vault password file, it will prompt you to create one. This file
houses the password that is used to encrypt and decrypt secrets within Loki. This file exists so that you are not prompted
for a password every time Loki attempts to decrypt a secret.
When you encrypt a secret, it uses the local provider for `gman` to securely store those secrets in the Loki vault file.
This file is typically located at your Loki configuration directory under `vault.yml`. If you open this file, you'll see a
bunch of gibberish. This is because all secrets are encrypted using the password you provided, meaning only you can decrypt them.
Secrets are specified in Loki configurations using the same variable templating as the [Jinja templating engine](https://jinja.palletsprojects.com/en/stable/):
```
{{some_variable}}
```
So whenever you want Loki to use a secret from the vault, you simply specify the secret name in this format in the applicable
file.
**Example:**
Suppose my vault has a secret called `GITHUB_TOKEN` in it, and I want to use that in the MCP configuration. Then, I simply replace
the expected value in my `mcp.json` with the templated secret:
```json
{
"mcpServers": {
"atlassian": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.atlassian.com/v1/sse"]
},
"github": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"GITHUB_PERSONAL_ACCESS_TOKEN",
"ghcr.io/github/github-mcp-server"
],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "{{GITHUB_TOKEN}}"
}
}
}
}
```
At runtime, Loki will detect the templated secret and replace it with the decrypted value from the vault before executing.
## Supported Files
At the time of writing, the following files support Loki secret injection:
| File Type | Description | Limitations |
|-------------------------|-----------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------|
| `config.yaml` | The main Loki configuration file | Cannot use secret injection on the `vault_password_file` field |
| `functions/mcp.json` | The MCP server configuration file | |
| `<agent>/tools.<py/sh>` | Tool files for agents | Specific configuration and only supported for Agents, not all global tools ([see below](#environment-variable-secret-injection-in-agents)) |
Note that all paths are relative to the Loki configuration directory. The directory varies by system, so you can find yours by
running
```shell
loki --info | grep config_dir | awk '{print $2}'
```
## Environment Variable Secret Injection in Agents
Secrets from the Loki vault can be injected into agent `tools.sh/tools.py` as environment variables. This is done as
follows:
1. Ensure a secret named `MY_USERNAME` is in your Loki vault.
2. Set the name of the secret as the default value for a variable
`<agent>/config.yaml`
```yaml
name: Username
description: An AI agent that demonstrates agent capabilities
instructions: |
You are a AI agent designed to demonstrate agent capabilities.
variables:
- name: username
description: Your user name
# Configure the secret you want to inject using the same templating mentioned above; i.e. wrap the
# case-sensitive name in '{{}}'
default: '{{MY_USERNAME}}'
```
3. Reference the variable in your `<agent>/tools.<py/sh>` file using the familiar variable injection name; that is,
since the name of the variable is `username`, the environment variable that will be provided to the tool call will
be named `LLM_AGENT_VAR_USERNAME`
`tools.sh`
```bash
#!/usr/bin/env bash
# @env LLM_OUTPUT=/dev/stdout The output path
# @cmd Get my username
get_my_username() {
echo "$LLM_AGENT_VAR_USERNAME" >> "$LLM_OUTPUT"
}
```
For more information about variable usage within agents, refer to the [Variables section](./AGENTS.md#user-defined-variables) of the [Agents README](./AGENTS.md)
-92
View File
@@ -1,92 +0,0 @@
# Model Clients
Loki supports a large number of model providers (referred to as `clients` since Loki is a client of these providers). In
order to use them, you must configure each one in the `clients` array in the global Loki configuration file.
The location of the global Loki configuration file varies between systems, so you can use the following command to
locate your configuration file:
```shell
loki --info | grep 'config_file' | awk '{print $2}'
```
## Quick Links
<!--toc:start-->
- [Supported Clients](#supported-clients)
- [Client Configuration](#client-configuration)
- [Extra Settings](#extra-settings)
<!--toc:end-->
---
## Supported Clients
Loki supports the following model client types:
* Azure AI Foundry
* AWS Bedrock
* Anthropic Claude
* Cohere
* Google Gemini
* OpenAI
* OpenAI-Compatible
* GCP Vertex AI
In addition to the settings detailed below, each client may have additional settings specific to the provider. Check the
[example global configuration file](../../config.example.yaml) to verify that your client has all the necessary fields
defined.
## Client Configuration
Each client in Loki has the same configuration settings available to them, with only special authentication fields added
for specific clients as necessary. They are each placed under the `clients` array in your global configuration file:
```yaml
clients:
- name: client1
# ... client configuration ...
- name: client2
# ... client configuration ...
```
### Metadata
The client metadata uniquely identifies the client in Loki so you can reference it across your configurations. The
available settings are listed below:
| Setting | Description |
|----------|-----------------------------------------------------------------------------------------------|
| `name` | The name of the client (e.g. `openai`, `gemini`, etc.) |
| `models` | See the [model settings](#model-settings) documentation below |
| `patch` | See the [client patch configuration](./PATCHES.md#client-configuration-patches) documentation |
| `extra` | See the [extra settings](#extra-settings) documentation below |
Be sure to also check provider-specific configurations for any extra fields that are added for authentication purposes.
### Model Settings
The `models` array lists the available models from the model client. Each one has the following settings:
| Setting | Required | Model Type | Description |
|-----------------------------|----------|-------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| `name` | * | `all` | The name of the model |
| `real_name` | | `all` | You can define model aliases via the `name` field. However, Loki still needs to know the real name <br>of the model so it can query it. For example: If you have `name: gpt-alias`, then you must <br>also define `real_name: gpt-oss:latest` |
| `type` | * | `all` | The type of model. Loki supports only 3 types of models: <ul><li>`chat`</li><li>`embedding`</li><li>`reranker`</li></ul> |
| `input_price` | | `all` | The cost in USD per 1M tokens for each input sequence; Loki will keep track of usage costs if this is defined |
| `output_price` | | `all` | The cost in USD per 1M tokens of the model output; Loki will keep track of usage costs if this is defined |
| `patch` | | `all` | See the [model-specific patch configuration](./PATCHES.md#model-specific-patches) documentation |
| `max_input_tokens` | | `all` | The maximum number of input tokens for the model |
| `max_output_tokens` | | `chat` | The maximum number of output tokens for the model |
| `require_max_tokens` | | `chat` | Whether to enforce the `max_output_tokens` constraint. |
| `supports_vision` | | `chat` | Indicates if the model supports multimodal queries that would require vision (i.e. image recognition) |
| `supports_function_calling` | | `chat` | Indicates if the model supports function calling |
| `no_stream` | | `chat` | Enable or disable streaming API responses |
| `no_system_message` | | `chat` | Controls whether the model supports system messages |
| `system_prompt_prefix` | | `chat` | An additional prefix prompt to add to all system prompts to ensure consistent behavior across all interactions |
| `max_tokens_per_chunk` | | `embedding` | The maximum chunk size supported by the embedding model |
| `default_chunk_size` | | `embedding` | The default chunk size to use with the given model |
| `max_batch_size` | | `embedding` | The maximum batch size that the given embedding model supports |
## Extra Settings
Loki also lets you customize some extra settings for interacting with APIs:
| Setting | Description |
|-------------------|-------------------------------------------------------|
| `proxy` | Set a proxy to use |
| `connect_timeout` | Set the timeout in seconds for connections to the API |
-368
View File
@@ -1,368 +0,0 @@
# Request Patching in Loki
Loki provides two mechanisms for modifying API requests sent to LLM providers: **Model-Specific Patches** and
**Client Configuration Patches**. These allow you to customize request parameters, headers, and URLs to work around
provider quirks or add custom behavior.
## Quick Links
- [Model-Specific Patches](#model-specific-patches)
- [Client Configuration Patches](#client-configuration-patches)
- [Comparison](#comparison)
- [Common Use Cases](#common-use-cases)
- [Environment Variable Patches](#environment-variable-patches)
- [Tips](#tips)
- [Debugging Patches](#debugging-patches)
---
## Model-Specific Patches
### Overview
Model-specific patches are applied **unconditionally** to a single model. They are useful for handling model-specific
quirks or requirements.
### When to Use
- A specific model requires certain parameters to be set or removed
- A model needs different default values than other models from the same provider
- You need to add special configuration for one model only
### Structure
```yaml
models:
- name: model-name
type: chat
# ... other model properties ...
patch:
url: "https://custom-endpoint.com" # Optional: override the API endpoint
body: # Optional: modify request body
<parameter>: <value> # Add or modify parameters
<parameter>: null # Remove parameters (set to null)
headers: # Optional: modify request headers
<header-name>: <value> # Add or modify headers
<header-name>: null # Remove headers (set to null)
```
### Examples
#### Example 1: Removing Parameters
OpenAI's o1 models don't support `temperature`, `top_p`, or `max_tokens` parameters. The `patch` removes them:
```yaml
- name: o4-mini
type: chat
max_input_tokens: 200000
max_output_tokens: 100000
supports_function_calling: true
patch:
body:
max_tokens: null # Remove max_tokens from request
temperature: null # Remove temperature from request
top_p: null # Remove top_p from request
```
#### Example 2: Setting Required Parameters
Some models require specific parameters to be set:
```yaml
- name: o4-mini-high
type: chat
patch:
body:
reasoning_effort: high # Always set reasoning_effort to "high"
max_tokens: null
temperature: null
```
#### Example 3: Custom Endpoint
If a model needs a different API endpoint:
```yaml
- name: custom-model
type: chat
patch:
url: "https://special-endpoint.example.com/v1/chat"
```
#### Example 4: Adding Headers
Add authentication or custom headers:
```yaml
- name: special-model
type: chat
patch:
headers:
X-Custom-Header: "special-value"
X-API-Version: "2024-01"
```
### How It Works
1. When you use a model, Loki loads its configuration
2. If the model has a `patch` field, it's **always applied** to every request
3. The patch modifies the request URL, body, or headers before sending to the API
4. Parameters set to `null` are **removed** from the request
---
## Client Configuration Patches
### Overview
Client configuration patches allow you to apply customizations to **multiple models** based on
**regex pattern matching**. They're defined in your `config.yaml` file and can target specific API types (`chat`,
`embeddings`, or `rerank`).
### When to Use
- You want to apply the same settings to multiple models from a provider
- You need different configurations for different groups of models
- You want to override the default client model settings
- You need environment-specific customizations
### Structure
```yaml
clients:
- type: <client> # e.g., gemini, openai, claude
# ... client configuration ...
patch:
chat_completions: # For chat models
'<regex-pattern>': # Regex to match model names
url: "..." # Optional: override endpoint
body: # Optional: modify request body
<parameter>: <value>
headers: # Optional: modify headers
<header>: <value>
embeddings: # For embedding models
'<regex-pattern>':
# ... same structure ...
rerank: # For reranker models
'<regex-pattern>':
# ... same structure ...
```
### Pattern Matching
- Patterns are **regular expressions** that match against the model name
- Use `.*` to match all models
- Use specific patterns like `gpt-4.*` to match model families
- Use `model1|model2` to match multiple specific models
### Examples
#### Example 1: Disable Safety Filters for Gemini Models
Apply to all Gemini chat models:
```yaml
clients:
- type: gemini
api_key: "{{GEMINI_API_KEY}}"
patch:
chat_completions:
'.*': # Matches all Gemini models
body:
safetySettings:
- category: HARM_CATEGORY_HARASSMENT
threshold: BLOCK_NONE
- category: HARM_CATEGORY_HATE_SPEECH
threshold: BLOCK_NONE
- category: HARM_CATEGORY_SEXUALLY_EXPLICIT
threshold: BLOCK_NONE
- category: HARM_CATEGORY_DANGEROUS_CONTENT
threshold: BLOCK_NONE
```
#### Example 2: Apply Settings to Specific Model Family
Only apply to GPT-4 models (not GPT-3.5):
```yaml
clients:
- type: openai
api_key: "{{OPENAI_API_KEY}}"
patch:
chat_completions:
'gpt-4.*': # Matches gpt-4, gpt-4-turbo, gpt-4o, etc.
body:
frequency_penalty: 0.2
presence_penalty: 0.1
```
#### Example 3: Different Settings for Different Models
Apply different patches based on model name:
```yaml
clients:
- type: openai
api_key: "{{OPENAI_API_KEY}}"
patch:
chat_completions:
'gpt-4o': # Specific model
body:
temperature: 0.7
'gpt-3.5.*': # Model family
body:
temperature: 0.9
max_tokens: 2000
```
#### Example 4: Modify Embedding Requests
Apply to embedding models:
```yaml
clients:
- type: openai
api_key: "{{OPENAI_API_KEY}}"
patch:
embeddings:
'text-embedding-.*': # All text-embedding models
body:
dimensions: 1536
encoding_format: "float"
```
#### Example 5: Custom Headers for Specific Models
Add headers only for certain models:
```yaml
clients:
- type: openai-compatible
api_base: "https://api.example.com/v1"
patch:
chat_completions:
'custom-model-.*':
headers:
X-Custom-Auth: "bearer-token"
X-Model-Version: "latest"
```
#### Example 6: Override Endpoint for Specific Models
Use different endpoints for different model groups:
```yaml
clients:
- type: openai-compatible
api_base: "https://default-endpoint.com/v1"
patch:
chat_completions:
'premium-.*': # Premium models use different endpoint
url: "https://premium-endpoint.com/v1/chat/completions"
```
### How It Works
1. When making a request, Loki checks if the client has a `patch` configuration
2. It looks at the appropriate API type (`chat_completions`, `embeddings`, or `rerank`)
3. For each pattern in that section, it checks if the regex matches the model name
4. If a match is found, that patch is applied to the request
5. Only the **first matching pattern** is applied (patterns are processed in order)
---
## Comparison
| Feature | Model-Specific Patch | Client Configuration Patch |
|-----------------------|-----------------------|-------------------------------------|
| **Scope** | Single model only | Multiple models via regex |
| **Matching** | Exact model name | Regular expression pattern |
| **Application** | Always applied | Only if pattern matches |
| **API Type** | All APIs | Separate for chat/embeddings/rerank |
| **Override** | Cannot be overridden | Can override model patch |
| **Use Case** | Model-specific quirks | User preferences & customization |
| **Application Order** | Applied first | Applied second (can override) |
### Patch Application Order
When both patches are present, they're applied in this order:
1. **Model-Specific Patch**
2. **Client Configuration Patch**
This means client configuration patches can override model-specific patches if they modify the same parameters.
## Common Use Cases
### Removing Unsupported Parameters
Some models don't support standard parameters like `temperature` or `max_tokens`:
**Model Patch**:
```yaml
patch:
body:
temperature: null
max_tokens: null
```
### Adding Provider-Specific Parameters
Providers often have unique parameters:
**Client Patch**:
```yaml
patch:
chat_completions:
'.*':
body:
safetySettings: [...] # Gemini
thinking_budget: 10000 # DeepSeek
response_format: # OpenAI
type: json_object
```
### Changing Endpoints
Use custom or regional endpoints:
**Client Patch**:
```yaml
patch:
chat_completions:
'.*':
url: "https://eu-endpoint.example.com/v1/chat"
```
### Setting Default Values
Provide defaults for specific models or model families:
**Client Patch**:
```yaml
patch:
chat_completions:
'claude-3-.*':
body:
max_tokens: 4096
temperature: 0.7
```
### Custom Authentication
Add special authentication headers:
**Client Patch**:
```yaml
patch:
chat_completions:
'.*':
headers:
Authorization: "Bearer {{custom_token}}"
X-Organization-ID: "org-123"
```
## Environment Variable Patches
You can also apply patches via environment variables for temporary overrides:
```bash
export LLM_PATCH_OPENAI_CHAT_COMPLETIONS='{"gpt-4.*":{"body":{"temperature":0.5}}}'
```
This takes precedence over client configuration patches but not model-specific patches.
## Tips
1. **Use model patches** for permanent, model-specific requirements
2. **Use client patches** for personal preferences or environment-specific settings
3. **Test regex patterns** carefully
4. **Set to `null`** to remove parameters, don't just omit them
5. **Check each model provider's docs** for available parameters and their formats
6. **Be specific** with patterns to avoid unintended matches
7. **Remember order matters** - first matching pattern wins for client patches
8. **Patches merge** - both types can be applied, with client patches overriding model patches
## Debugging Patches
To see what request is actually being sent, enable debug logging:
```bash
export RUST_LOG=loki=debug
loki "your prompt here"
```
This will show the final request body after all patches are applied.
@@ -1,275 +0,0 @@
# Bash Prompt Helpers
When creating bash based tools, it's often helpful to prompt the user for input or confirmation.
Loki comes pre-packaged with a handful of prompt helpers for your bash-based tools. These helpers
can be used to prompt the user for various types of input, such as yes/no confirmations,
text input, and selections from a list.
The utility script is located at `functions/utils/prompt-utils.sh` within your Loki `functions` directory.
The Loki `functions` directory varies between machines, so you can find its location on your system by running the following command in your terminal:
```shell
loki --info | grep functions_dir | awk '{print $2}'
```
## Quick Links
<!--toc:start-->
- [Import The Prompt Utils Into Your Tools Script](#import-the-prompt-utils-into-your-tools-script)
- [Included Utility Functions](#included-utility-functions)
- [input](#input)
- [confirm](#confirm)
- [list](#list)
- [checkbox](#checkbox)
- [password](#password)
- [editor](#editor)
- [with_validate](#with_validate)
- [validate_present](#validate_present)
- [detect_os](#detect_os)
- [get_opener](#get_opener)
- [open_link](#open_link)
- [guard_operation](#guard_operation)
- [guard_path](#guard_path)
- [patch_file](#patch_file)
- [error](#error)
- [warn](#warn)
- [info](#info)
- [debug](#debug)
- [trace](#trace)
- [Colored Output](#colored-output)
<!--toc:end-->
---
## Import The Prompt Utils Into Your Tools Script
In order to use the bash prompt helpers in your bash scripts, you need to source the provided `prompt-utils.sh` script.
This script is pre-packaged with Loki and is located [here](../../assets/functions/utils/prompt-utils.sh).
When sourcing the file in your bash script, you use the `LLM_PROMPT_UTILS_FILE` environment variable that automatically
populates the `functions/utils/prompt-utils.sh` path for you.
Thus, to properly source and enable all the bash prompt helpers in your Bash tools, add the following prelude to your
scripts:
```bash
source "$LLM_PROMPT_UTILS_FILE"
```
## Included Utility Functions
Below are the built-in bash prompt helpers that can be used to enhance user interaction with your tool scripts.
### input
Prompt for text input
![Prompt Utils Input](../images/tools/prompt-utils-input.png)
**Example With Validation:**
```bash
text=$(with_validation 'input "Please enter something:"' validate_present)
```
**Example Without Validation:**
```bash
text=$(input "Please enter something:")
```
### confirm
Show a confirm dialog with options for yes/no
![Prompt Utils Confirm](../images/tools/prompt-utils-confirm.png)
**Example:**
```bash
confirmed=$(confirm "Do the thing?")
if [[ $confirmed == "0" ]]; then echo "No"; else echo "Yes"; fi
```
### list
Renders a text based list of options that can be selected by the user using up, down, and enter
keys that then returns the chosen option.
![Prompt Utils List](../images/tools/prompt-utils-list.png)
**Example:**
```bash
options=("one" "two" "three" "four")
choice=$(list "Select an item" "${options[@]}")
echo "Your choice: ${options[$choice]}"
```
### checkbox
Render a text based list of options, where multiple options can be selected by the user using down, up,
and enter keys that then returns the chosen options.
![Prompt Utils Checkbox](../images/tools/prompt-utils-checkbox.png)
**Example:**
```bash
options=("one" "two" "three" "four")
checked=$(checkbox "Select one or more items" "${options[@]}")
echo "Your choices: ${checked}"
```
### password
Show a password prompt displaying stars for each character typed.
![Prompt Utils Password](../images/tools/prompt-utils-password.png)
**Example With Validation:**
```bash
validate_password() {
if [[ ${#1} -lt 10 ]]; then
echo "Password must be at least 10 characters"
exit 1
fi
}
pass=$(with_validate 'password "Enter your password"' validate_password)
```
**Example Without Validation:**
```bash
pass="$(password "Enter your password:")"
```
### editor
Open the default editor (`$EDITOR`); if none is set, default back to `vi`
**Example:**
```bash
text=$(editor "Please enter something in the editor")
echo -e "You wrote:\n${text}"
```
### with_validate
Evaluate the given prompt command with validation. This prompts the user for input until the
validation functions returns 0.
![Prompt Utils With-validate](../images/tools/prompt-utils-with-validate.png)
**Example:**
```bash
# Using the built-in 'validate_present' validator
text=$(with_validate 'input "Please enter something and confirm with enter"' validate_present)
# Using a custom validator; e.g. for password
validate_password() {
if [[ ${#1} -lt 10 ]]; then
echo "Password needs to be at least 10 characters"
exit 1
fi
}
pass=$(with_validate 'password "Enter random password"' validate_password)
```
### validate_present
Validate that the prompt returned a value.
![Prompt Utils Validate-Present](../images/tools/prompt-utils-validate-present.png)
**Example:**
```bash
text=$(with_validate 'input "Please enter something and confirm with enter"' validate_present)
```
### detect_os
Detect the current OS.
Returns one of the following:
* `solaris`
* `macos`
* `linux`
* `bsd`
* `windows`
* `unknown`
**Example:**
```bash
detect_os
```
### get_opener
Determines the Os-specific file opening command (i.e. the command to open anything)
**Example:**
```bash
# Returns 'xdg-open'
get_opener
```
### open_link
Opens the given link in the default browser
**Example:**
```bash
open_link https://www.google.com
```
### guard_operation
Prompt for permission to run an operation
**Example:**
```bash
guard_operation "Execute SQL?"
_run_sql
```
### guard_path
Prompt for permission to perform path operations
**Example:***
```bash
guard_path "$target_path" "Remove '$target_path'?"
rm -rf "$target_path"
```
### patch_file
Patch a file and show a diff using the default diff viewer. Uses git diff syntax.
**Example:**
```bash
new_contents="$(patch_file "$path" file.patch)"
```
### error
Log an error
![Prompt Utils Error](../images/tools/prompt-utils-error.png)
### warn
Log a warning
![Prompt Utils Warning](../images/tools/prompt-utils-warning.png)
### info
Log info
![Prompt Utils Info](../images/tools/prompt-utils-info.png)
### debug
Log a debug message
![Prompt Utils Debug](../images/tools/prompt-utils-debug.png)
### trace
Log a trace message
![Prompt Utils Trace](../images/tools/prompt-utils-trace.png)
### Colored Output
The following commands allow users to output text in specific colors.
* `red`
* `green`
* `gold`
* `blue`
* `magenta`
* `cyan`
* `white`
**Example:**
```bash
red "This will be red"
yellow "This will be yellow"
```
-309
View File
@@ -1,309 +0,0 @@
# Custom Bash-Based Tools
Loki supports tools written in Bash. However, they must be written in a special format with special annotations in order
for Loki to be able to properly parse and utilize them. This formatting ensures that each Bash script is
self-describing, and formatted in such a way that Loki can anticipate how to execute it and what parameters to pass to
it. This standardization also lets Loki compile the script into a JSON schema that can be used to inform the LLM about
how to use the tool.
Each Bash-based tool must follow a specific structure in order for Loki to be able to properly compile and execute it:
* The tool must be a Bash script with a `.sh` file extension.
* The script must have the following comments:
* `# @describe ...` comment at the top that describes the tool.
* `# @env LLM_OUTPUT=/dev/stdout The output path` comment to describe the `LLM_OUTPUT` environment variable. This
syntax in particular assigns `/dev/stdout` as the default value for `LLM_OUTPUT`, so that if it's not set by Loki,
the script will still function properly.
* `# @option --option <value> An example option` comments to define each option that the tool accepts.
* Use `--flag` syntax for boolean flags.
* Use `--option <value>` syntax for options that accept a value.
* Use `--option <value1,value2>` syntax for options that accept multiple values (i.e. arrays).
* The script must have a `main` function
* The `main` function must redirect the return value to the `>> "$LLM_OUTPUT"` environment variable.
* This is necessary because Loki relies on the `$LLM_OUTPUT` environment variable to capture the output of the tool.
Essentially, you can think of the Bash-based tool script as just a normal Bash script that uses special comments to
define a CLI.
* The `# @env LLM_OUTPUT=/dev/stdout` comment to define the `$LLM_OUTPUT` environment variable (good practice)
* A `# @describe`
* And a `main` function that writes to `$LLM_OUTPUT`
The following section explains how you can add parameters to your bash functions and how to test out your scripts.
## Quick Links:
<!--toc:start-->
- [Loki Bash Tools Syntax](#loki-bash-tools-syntax)
- [Metadata](#metadata)
- [Environment Variables](#environment-variables)
- [Arguments](#arguments)
- [Flags](#flags)
- [Options](#options)
- [Subcommands (Agents only)](#subcommands-agents-only)
- [Execute and Test Your Bash Tools](#execute-and-test-your-bash-tools)
- [Example](#example)
- [Prompt Helpers](#prompt-helpers)
<!--toc:end-->
---
## Loki Bash Tools Syntax
Loki Bash tools work via `@___` annotations that describe specific functionality of a script. The following reference
explains the general syntax of these annotations and how to use them to create a CLI that Loki can recognize.
Refer to the [Execute and Test Your Bash Tools](#execute-and-test-your-bash-tools) section to learn how to test out your Bash tools
without needing to go through Loki itself.
It's important to note that any functions prefixed with `_` are not sent to the LLM, so they will be invisible to the
LLM at runtime.
### Metadata:
You can define different metadata about your script to help Loki understand its dependencies and purpose.
```bash
# Use the `@meta require-tools` annotation to specify any external tools that your script depends on.
# @meta require-tools jq,yq
# Use the `@describe` annotation to describe the purpose of the script.
# @describe A tool to interact with things
```
### Environment Variables:
```bash
###########################
## Environment Variables ##
###########################
# Use `@env` to define environment variables that the script uses.
# @env LLM_OUTPUT=/dev/stdout The output path, with a default value of '/dev/stdout' if not set.
# @env OPTIONAL An optional environment variable
# @env REQUIRED! A required environment variable
# @env DEFAULT_VALUE=default An environment variable with a default value if unset.
# @env DEFAULT_FROM_FN=`_default_env_fn` An environment variable with a default value calculated from a function if unset.
# @env CHOICE[even|odd] An environment variable that, if set, must be set to either `even` or `odd`
# @env CHOICE_WITH_DEFAULT[=even|odd] An environment variable that, if set, must be set to either `even` or `odd`, and defaults to `even` when unset
# @env CHOICE_FROM_FN[`_choice_env_fn`] An environment variable that, if set, must be set to one of the values returned by the `_choice_fn` function.
# Example variable usage:
export CHOICE=even
# ./script.sh
main() {
[[ $CHOICE == "even" ]] || { echo "The value of the 'CHOICE' env var is not 'even'" >> "$LLM_OUTPUT" && exit 1 }
}
# Loki does not pass functions prefixed with `_` to the LLM, so these are essentially `private` functions
_default_env_fn() {
echo "calculated default env value"
}
# Loki does not pass functions prefixed with `_` to the LLM, so these are essentially `private` functions
_choice_env_fn() {
echo even
echo odd
}
```
### Arguments:
When referencing an argument defined via the `@arg` annotation, you can access its value using the `argc_<argument_name>` variable that
is created at runtime.
```bash
###############
## Arguments ##
###############
# Use `@arg` To define positional arguments for your script.
# To reference an argument within your script, use the `argc_<argument_name>` variable.
# @arg optional Optional argument
# @arg required! Required argument
# @arg multi_value* An argument that accepts multiple values (e.g. './script.sh one two three')
# @arg multi_value_required+ An argument that is required and accepts multiple values
# @arg value_notated <VALUE> An argument that explicitly specifies the name for documentation (e.g. Usage: ./script.sh [VALUE])
# @arg default=default An argument with a default value if unset
# @arg default_from_fn=`_default_arg_fn` An argument with a default value calculated from a function if unset
# @arg choice[even|odd] An argument that, if set, must be set to either `even` or `odd`
# @arg required_choice+[even|odd] An required argument that must be set to either `even` or `odd`
# @arg default_choice[=even|odd] An argument that if unset defaults to 'even', but if set must be either `even` or `odd`
# @arg multi_value_choice*[even|odd] An argument that, if set, must be set to either `even` or `odd`, and accepts multiple values
# @arg choice_fn[`_choice_arg_fn`] An argument that, if set, must be set to one of the values returned by the `_choice_arg_fn` function.
# @arg choice_fn_no_valid[?`_choice_arg_fn`] An argument that, if set, can be set to one of the values returned by the `_choice_arg_fn` function,
# but does not validate the value.
# @arg multi_choice_fn*[`_choice_arg_fn`] An argument that, if set, must be set to one of the values returned by the `_choice_arg_fn` function,
# and accepts multiple values.
# @arg multi_choice_comma_fn*,[`_choice_arg_fn`] An argument that, if set, must be set to one of the values returned by the `_choice_arg_fn` function,
# and accepts multiple values in the form of a comma-separated list
# @arg capture_arg~ An argument that captures all remaining args passed to the script
# Example usage 1: ./script.sh something_required
main() {
[[ $argc_required == "something_required" ]] || { echo "The value of the 'required' arg is not 'something_required'" >> "$LLM_OUTPUT" && exit 1 }
}
# Example usage 2: ./script.sh this is a test
main() {
[[ "${argc_multi_value[*]}" == "this is a test" ]] || { echo "The value of the 'multi_value' arg is not 'this is a test'" >> "$LLM_OUTPUT" && exit 1 }
}
# Loki does not pass functions prefixed with `_` to the LLM, so these are essentially `private` functions
_default_arg_fn() {
echo "default arg value"
}
# Loki does not pass functions prefixed with `_` to the LLM, so these are essentially `private` functions
_choice_arg_fn() {
echo even
echo odd
}
```
### Flags:
To access the value of a flag defined via the `@flag` annotation, you can check the value of the `argc_<flag_name>` variable.
```bash
###########
## Flags ##
###########
# Use `@flag` to define boolean flags for your script
# To reference a flag within your script, use the `argc_<argument_name>` variable.
# @flag --bool A boolean flag with only a long option
# @flag -b --bool A boolean flag with a short and long option
# @flag -b A boolean flag with only a short option
# @flag --multi* A boolean flag that can be used multiple times (e.g. '--multi --multi' will return '2')
# Example usage 1: ./script.sh --bool
main() {
[[ $argc_bool == "1" ]] || { echo "The value of the 'bool' flag is not '1'" >> "$LLM_OUTPUT" && exit 1 }
}
# Example usage 2: ./script.sh --multi --multi
main() {
[[ $argc_multi == "2" ]] || { echo "The value of the 'multi' flag is not 2" >> "$LLM_OUTPUT" && exit 1 }
}
```
### Options:
To access the value of an option defined via the `@option` annotation, you can check the value of the `argc_<option_name>` variable.
```bash
#############
## Options ##
#############
# Use `@option` to define flags that accept values
# To reference an option within your script, use the `argc_<argument_name>` variable.
# @option --option An option that accepts a value with only a long flag
# @option -o --option An option that accepts a value with both a short and long flag
# @option -o An option that accepts a value with only a short flag
# @option --required A required option that accepts a value
# @option --multi* An option that accepts multiple values
# @option --required-multi+ An option that accepts multiple values and is required
# @option --multi-comma*, An option that accepts multiple values in the form of a comma-separated list
# @option --value <VALUE> An option that explicitly specifies the name for documentation (e.g. Usage: ./script.sh --value [VALUE])
# @option --two-args <SRC> <DEST> An option that accepts two arguments and explicitly names them for documentation
# (e.g. Usage: ./script.sh --two-args [SRC] [DEST])
# @option --unlimited-args <SRC> <DEST+> An option that accepts an unlimited number of arguments and explicitly names them for documentation
# (e.g. Usage: ./script.sh --unlimited-args [SRC] [DEST ...])
# @option --default=default An option that has a default value if unset
# @option --default-from-fn=`_default_opt_fn` An option that has a default value calculated from a function if unset
# @option --choice[even|odd] An option that, if set, must be set to either `even` or `odd`
# @option --choice-default[=even|odd] An option that, if unset, defaults to `even`, but if set must be either `even` or `odd`
# @option --choice-multi*[even|odd] An option that, if set, must be set to either `even` or `odd`, and can be specified multiple times
# (e.g. ./script.sh --choice-multi even --choice-multi odd)
# @option --required-choice-multi+[even|odd] A required option that, must be set to either `even` or `odd`, and can be specified multiple times
# @option --choice-fn[`_choice_opt_fn`] An option that, if set, must be set to one of the values returned by the `_choice_opt_fn` function.`
# @option --choice-fn-no-valid[?`_choice_opt_fn`] An option that, if set, can be set to one of the values returned by the `_choice_opt_fn` function, with no validation
# @option --choice-multi-fn*[`_choice_opt_fn`] An option that, if set, must be set to one of the values returned by the `_choice_opt_fn` function,
# and can be specified multiple times
# @option --choice-multi-comma*,[`_choice_opt_fn`] An option that, if set, must be set to one of the values returned by the `_choice_opt_fn` function,
# and is specified as a comma-separated list
# @option --capture~ An option that captures all remaining arguments passed to the script
# Example usage 1: ./script.sh --option some_value
main() {
[[ $argc_option == "some_value" ]] || { echo "The value of the 'option' option is not 'some_value'" >> "$LLM_OUTPUT" && exit 1 }
}
# Example usage 2: ./script.sh --multi value1 --multi value2
main() {
[[ "${argc_multi[*]}" == "value1 value2" ]] || { echo "The value of the 'multi' option is not 'value1 value2'" >> "$LLM_OUTPUT" && exit 1 }
}
# Loki does not pass functions prefixed with `_` to the LLM, so these are essentially `private` functions
_default_opt_fn() {
echo "calculated default option value"
}
# Loki does not pass functions prefixed with `_` to the LLM, so these are essentially `private` functions
_choice_opt_fn() {
echo even
echo odd
}
```
### Subcommands (Agents only):
By default, if no `@cmd` annotations are defined, the script's `main` function is treated as the default command.
However, for agents, there can be many functions defined in one file, and thus it is useful to create subcommands
to organize your agent's tools.
```bash
#################
## Subcommands ##
#################
# Use the `@cmd` annotation to define subcommands for your script.
# @cmd List all files
list() {
ls -la >> "$LLM_OUTPUT"
}
# @cmd Output the contents of the specified file
# @arg file! The file to output
cat() {
cat "$argc_file" >> "$LLM_OUTPUT"
}
# Example usage 1: ./script.sh cat myfile.txt
```
## Execute and Test Your Bash Tools
Your bash tools are just normal bash scripts stored in the `functions/tools` directory. So you can execute and test them
directly by first having Loki compile them so all this syntactic sugar means something.
This is achieved via the `loki --build-tools` command.
### Example
Suppose we want to execute the `functions/tools/get_current_time.sh` script for testing.
We'd first make sure the script is visible in all contexts by ensuring it's in the `visible_tools` array in your global
`config.yaml` file. This ensures Loki builds the tool so it's ready to use in any context.
You can find the location of your global `config.yaml` file with the following command:
```shell
loki --info | grep 'config_file' | awk '{print $2}'
```
Then, we can instruct Loki to build the script so we can test it out:
```shell
loki --build-tools
```
This will add additional boilerplate to the top of the script so that it can be executed directly.
Finally, we can now execute the script:
```bash
$ ./get_current_time.sh
Fri Oct 24 05:55:04 PM MDT 2025
```
## Prompt Helpers
It's often useful to create interactive prompts for our bash tools so that our tools can get input from
users.
To accommodate this, Loki provides a set of prompt helper functions that can be referenced and used within your Bash
tools.
For more information, refer to the [Bash Prompt Helpers documentation](BASH-PROMPT-HELPERS.md).
-119
View File
@@ -1,119 +0,0 @@
# Custom Tools
Loki is designed to be as flexible and as customizable as possible. One of the key
features that enables this flexibility is the ability to create and integrate custom tools
into your Loki setup. This document provides a guide on how to create and use custom tools within Loki.
## Quick Links
<!--toc:start-->
- [Supported Languages](#supported-languages)
- [Creating a Custom Tool](#creating-a-custom-tool)
- [Environment Variables](#environment-variables)
- [Custom Bash-Based Tools](#custom-bash-based-tools)
- [Custom Python-Based Tools](#custom-python-based-tools)
<!--toc:end-->
---
## Supported Languages
Loki supports custom tools written in the following programming languages:
* Python
* Bash
## Creating a Custom Tool
All tools are created as scripts in either Python or Bash. They should be placed in the `functions/tools` directory.
The location of the `functions` directory varies between systems, so you can use the following command to locate
your `functions` directory:
```shell
loki --info | grep functions_dir | awk '{print $2}'
```
Once you've created your custom tool, remember to add it to the `visible_tools` array in your global `config.yaml` file
to enable it globally. See the [Tools](TOOLS.md#enablingdisabling-global-tools) documentation for more information on how Loki utilizes the
`visible_tools` array.
### Environment Variables
All tools have access to the following environment variables that provide context about the current execution environment:
| Variable | Description |
|----------------------|--------------------------------------------------------------------------------------------------------------------------------------------|
| `LLM_OUTPUT` | Indicates where the output of the tool should go. <br>In certain situations, this may be set to a temporary file instead of `/dev/stdout`. |
| `LLM_ROOT_DIR` | The root `config_dir` directory for Loki <br>(i.e. `dirname $(loki --info \| grep config_file \| awk '{print $2}')`) |
| `LLM_TOOL_NAME` | The name of the tool being executed |
| `LLM_TOOL_CACHE_DIR` | A directory specific to the tool for storing cache or temporary files |
Loki also searches the tools directory on startup for a `.env` file. If found, all tools in `functions/tools/` will have
the environment variables defined in the `.env` file available to them.
### Custom Bash-Based Tools
To create a Bash-based tool, refer to the [custom bash tools documentation](CUSTOM-BASH-TOOLS.md).
### Custom Python-Based Tools
Loki supports tools written in Python.
Each Python-based tool must follow a specific structure in order for Loki to be able to properly compile and
execute it:
* The tool must be a Python script with a `.py` file extension.
* The tool must have a `def run` function that serves as the entry point for the tool.
* The `run` function must accept parameters that define the inputs for the tool.
* Always use type hints to specify the data type of each parameter.
* Use `Optional[...]` to indicate optional parameters
* The `run` function must return a `str`.
* For Python, this is automatically written to the `LLM_OUTPUT` environment variable, so there's no need to explicitly
write to the environment variable within the function.
* The function must also have a docstring that describes the tool and its parameters.
* Each parameter in the `run` function should be documented in the docstring using the `Args:` section. They should use the following format:
* `<parameter_name>: <description>` Where
* `<parameter_name>`: The name of the parameter
* `<description>`: The description of the parameter
* These are *very* important because these descriptions are what's passed to the LLM as the description of the tool,
letting the LLM know what the tool does and how to use it.
It's important to note that any functions prefixed with `_` are not sent to the LLM, so they will be invisible to the LLM
at runtime.
Below is the [`demo_py.py`](../../assets/functions/tools/demo_py.py) tool definition that comes pre-packaged with
Loki and demonstrates how to create a Python-based tool:
```python
import os
from typing import List, Literal, Optional
def run(
string: str,
string_enum: Literal["foo", "bar"],
boolean: bool,
integer: int,
number: float,
array: List[str],
string_optional: Optional[str] = None,
array_optional: Optional[List[str]] = None,
):
"""Demonstrates how to create a tool using Python and how to use comments.
Args:
string: Define a required string property
string_enum: Define a required string property with enum
boolean: Define a required boolean property
integer: Define a required integer property
number: Define a required number property
array: Define a required string array property
string_optional: Define an optional string property
array_optional: Define an optional string array property
"""
output = f"""string: {string}
string_enum: {string_enum}
string_optional: {string_optional}
boolean: {boolean}
integer: {integer}
number: {number}
array: {array}
array_optional: {array_optional}"""
for key, value in os.environ.items():
if key.startswith("LLM_"):
output = f"{output}\n{key}: {value}"
return output
```
-119
View File
@@ -1,119 +0,0 @@
# MCP Servers
[MCP servers](https://modelcontextprotocol.io/docs/getting-started/intro) are essentially APIs designed specifically for LLMs that work like a remote repository of
tools for the model to access and extend its capabilities.
So think of it like this: Instead of having to write all your own custom tools to interact with different
services, those services can expose their functionality through an MCP server.
Loki has first-class support for MCP servers.
As mentioned in the [Loki Vault documentation](../VAULT.md), Loki can inject sensitive
configuration data into your MCP configuration file to ensure that secrets are not hard-coded.
## Quick Links
<!--toc:start-->
- [Important Note](#important-note)
- [MCP Server Configuration](#mcp-server-configuration)
- [Secret Injection](#secret-injection)
- [Default MCP Servers](#default-mcp-servers)
- [Loki Configuration](#loki-configuration)
- [Global Configuration](#global-configuration)
- [Role Configuration](#role-configuration)
- [Agent Configuration](#agent-configuration)
<!--toc:end-->
---
## Important Note
Be careful how many MCP servers you enable at one time, regardless of the context. When there is a significant
number of configured MCP servers, enabling too many MCP servers may overwhelm the context length of a model,
and quickly exceed token limits.
## MCP Server Configuration
Loki stores the MCP server configuration file, `functions/mcp.json`, in the `functions` directory. You can find
this directory using the following command:
```shell
loki --info | grep functions_dir | awk '{print $2}'
```
The syntax for the `functions/mcp.json` file is identical to the syntax for MCP server configurations for Claude Desktop.
So any time you're looking to add a new server, look at the docs for it and find the configuration example for
Claude desktop. You should be able to use the exact same configuration in your `functions/mcp.json` file.
### Secret Injection
As mentioned in the [Loki Vault documentation](../VAULT.md), you can use Loki Vault to inject secrets into your MCP configuration file.
In fact, this is why you need to set up your vault before using Loki at all: the built-in MCP configuration
requires you set up some secrets to use it.
For more information about how to set up your vault and inject secrets, please refer to the [Loki Vault documentation](../VAULT.md).
## Default MCP Servers
Loki ships with a `functions/mcp.json` file that includes some useful MCP servers:
* [github](https://github.com/github/github-mcp-server) - Interact with GitHub repositories, issues, pull requests, and more.
* [docker](https://github.com/ckreiling/mcp-server-docker) - Manage your local Docker containers with natural language
* [slack](https://github.com/korotovsky/slack-mcp-server) - Interact with Slack
## Loki Configuration
MCP servers, like tools, can be used in a handful of contexts:
* Inside a session
* Inside a role
* Inside an agent
* Globally (i.e. outside a session, role, or agent)
Each of these has a different configuration and interaction with the global configuration.
***Note:** The names of each MCP server referenced in the below configuration properties directly corresponds
to the names given in the `functions/mcp.json` configuration file. So if you change the name of an MCP server
from `slack` to `lucem-slack`, then you need to also update your Loki configuration accordingly.
### Global Configuration
The global configuration is essentially what settings you want to have on by default when
you just invoke `loki`. (Don't worry about agents, roles, or sessions yet. We'll get to them in a bit).
The following settings are available in the global configuration for MCP servers:
```yaml
mcp_server_support: true # Enables or disables MCP server support (globally).
mapping_mcp_servers: # Alias for an MCP server or set of servers
git: github,gitmcp
enabled_mcp_servers: null # Which MCP servers to enable by default (e.g. 'github,slack')
```
A special note about `enabled_mcp_servers`: a user can set this to `all` to enable all configured MCP servers in the
`functions/mcp.json` configuration.
(See the [Configuration Example](../../config.example.yaml) file for an example global configuration with all options.)
When running in REPL-mode, the `mcp_server_support` and `enabled_mcp_servers` settings can be overridden using the
`.set` command:
![REPL set MCP servers](../images/mcp/global-settings-overrides-repl.png)
### Role Configuration
When you create a role, you have the following MCP-related configuration options available to you:
```yaml
enabled_mcp_servers: github # Which MCP servers the role uses.
```
The values for `mapping_mcp_servers` are inherited from the `[global configuration](#global-configuration)`.
For more information about roles, refer to the [Roles](../ROLES.md) documentation.
### Agent Configuration
When you create an agent, you have the following MCP-related configuration options available to you:
```yaml
mcp_servers: # Which MCP servers the agent uses
- github
- docker
```
The values for `mapping_mcp_servers` are inherited from the [global configuration](#global-configuration).
For more information about agents, refer to the [Agents](../AGENTS.md) documentation.
For a full example configuration for an agent, see the [Agent Configuration Example](../../config.agent.example.yaml) file.
-139
View File
@@ -1,139 +0,0 @@
# Tools
Loki supports function calling with various tools built-in to enhance LLM capabilities. All built-in tools for Loki
are located in the [`functions/tools`](../../assets/functions/tools) directory. These tools are also stored in your Loki `functions`
directory, which is also where you'd go to add more tools.
**Pro Tip:** The Loki functions directory can be found by running the following command:
```bash
loki --info | grep functions_dir | awk '{print $2}'
```
# Quick Links
<!--toc:start-->
- [Built-In Tools](#built-in-tools)
- [Configuration](#configuration)
- [Global Configuration](#global-configuration)
- [Enabling/Disabling Global Tools](#enablingdisabling-global-tools)
- [Role Configuration](#role-configuration)
- [Agent Configuration](#agent-configuration)
<!--toc:end-->
---
## Built-In Tools
The following tools are built-in to Loki by default, and their default enabled/disabled status is indicated. More about how tools can
be enabled/disabled can be found in the [Configuration](#configuration) section below.
| Tool | Description | Enabled/Disabled |
|-------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------|
| [`demo_py.py`](../../assets/functions/tools/demo_py.py) | Demonstrates how to create a tool using Python and how to use comments. | 🔴 |
| [`demo_sh.sh`](../../assets/functions/tools/demo_sh.sh) | Demonstrate how to create a tool using Bash and how to use comment tags. | 🔴 |
| [`execute_command.sh`](../../assets/functions/tools/execute_command.sh) | Execute the shell command. | 🟢 |
| [`execute_py_code.py`](../../assets/functions/tools/execute_py_code.py) | Execute the given Python code. | 🔴 |
| [`execute_sql_code.sh`](../../assets/functions/tools/execute_sql_code.sh) | Execute SQL code. | 🔴 |
| [`fetch_url_via_curl.sh`](../../assets/functions/tools/fetch_url_via_curl.sh) | Extract the content from a given URL using cURL. | 🔴 |
| [`fetch_url_via_jina.sh`](../../assets/functions/tools/fetch_url_via_jina.sh) | Extract the content from a given URL using Jina. | 🔴 |
| [`fs_cat.sh`](../../assets/functions/tools/fs_cat.sh) | Read the contents of a file at the specified path. | 🟢 |
| [`fs_ls.sh`](../../assets/functions/tools/fs_ls.sh) | List all files and directories at the specified path. | 🟢 |
| [`fs_mkdir.sh`](../../assets/functions/tools/fs_mkdir.sh) | Create a new directory at the specified path. | 🔴 |
| [`fs_patch.sh`](../../assets/functions/tools/fs_patch.sh) | Apply a patch to a file at the specified path. <br>This can be used to edit a file without having to rewrite the whole file. | 🔴 |
| [`fs_rm.sh`](../../assets/functions/tools/fs_rm.sh) | Remove a file or directory at the specified path. | 🔴 |
| [`fs_write.sh`](../../assets/functions/tools/fs_write.sh) | Write the full file contents to a file at the specified path. | 🟢 |
| [`get_current_time.sh`](../../assets/functions/tools/get_current_time.sh) | Get the current time. | 🟢 |
| [`get_current_weather.py`](../../assets/functions/tools/get_current_weather.py) | Get the current weather in a given location (Python implementation) | 🔴 |
| [`get_current_weather.sh`](../../assets/functions/tools/get_current_weather.sh) | Get the current weather in a given location. | 🟢 |
| [`query_jira_issues.sh`](../../assets/functions/tools/query_jira_issues.sh) | Query for jira issues using a Jira Query Language (JQL) query. | 🟢 |
| [`search_arxiv.sh`](../../assets/functions/tools/search_arxiv.sh) | Search arXiv using the given search query and return the top papers. | 🔴 |
| [`search_wikipedia.sh`](../../assets/functions/tools/search_wikipedia.sh) | Search Wikipedia using the given search query. <br>Use it to get detailed information about a public figure, interpretation of a <br>complex scientific concept or in-depth connectivity of a significant historical <br>event, etc. | 🔴 |
| [`search_wolframalpha.sh`](../../assets/functions/tools/search_wolframalpha.sh) | Get an answer to a question using Wolfram Alpha. The input query should be <br>in English. Use it to answer user questions that require computation, detailed <br>facts, data analysis, or complex queries. | 🔴 |
| [`send_mail.sh`](../../assets/functions/tools/send_mail.sh) | Send an email. | 🔴 |
| [`send_twilio.sh`](../../assets/functions/tools/send_twilio.sh) | Send SMS or Twilio Messaging Channels messages using the Twilio API. | 🔴 |
| [`web_search_loki.sh`](../../assets/functions/tools/web_search_loki.sh) | Perform a web search to get up-to-date information or additional context. <br>Use this when you need current information or feel a search could provide <br>a better answer. | 🔴 |
| [`web_search_perplexity.sh`](../../assets/functions/tools/web_search_perplexity.sh) | Perform a web search using the Perplexity API to get up-to-date <br>information or additional context. Use this when you need current <br>information or feel a search could provide a better answer. | 🔴 |
| [`web_search_tavily.sh`](../../assets/functions/tools/web_search_tavily.sh) | Perform a web search using the Tavily API to get up-to-date <br>information or additional context. Use this when you need current <br>information or feel a search could provide a better answer. | 🔴 |
Details on what configuration, if any, is necessary for each tool can be found inside the tool file definition itself.
## Configuration
Tools can be used in a handful of contexts:
* Inside a session
* Inside a role
* Inside an agent
* Globally (i.e. outside a session, role, or agent)
Each of these has a different configuration and interaction with the global configuration.
**Note:** For each configuration property listed below, the functions that are mentioned *only*
correspond to the tool scripts located in your Loki `functions/tools` directory.
### Global Configuration
The global configuration is essentially what settings you want to have on by default when
you just invoke `loki`. (Don't worry about agents, roles, or sessions yet. We'll get to them in a bit).
The following settings are available in the global configuration for tools:
```yaml
function_calling_support: true # Enables or disables function calling in any context
mapping_tools: # Alias for a tool or toolset
fs: 'fs_cat,fs_ls,fs_mkdir,fs_rm,fs_write'
enabled_tools: null # Which tools to use by default. (e.g. 'fs,web_search_loki')
visible_tools: # Which tools are visible to be compiled (and are thus able to be defined in 'enabled_tools')
# - demo_py.py
- execute_command.sh
```
A special not about `enabled_tools`: a user can set this to `all` to enable all available tools listed in the
`visible_tools` section of your Loki `config.yaml` file.
See the [Enabling/Disabling Global Tools](#enablingdisabling-global-tools) section below for more information on how tools
are globally enabled/disabled globally.
(See the [Configuration Example](../../config.example.yaml) file for an example global configuration with all options.)
When running in REPL-mode, the `function_calling_support` and `enabled_tools` settings can be overridden using the
`.set` command:
![REPL set function calling](../images/tools/global-settings-overrides-repl.png)
You'll notice that mentioned above, some tools are disabled while others are enabled. How is that determined?
### Enabling/Disabling Global Tools
The configured tools are enabled/disabled by looking at the values in the `visible_tools` array in your `config.yaml`
file. This file is located in the root of the Loki `config` directory. The location of the Loki config varies by system,
so your config file can be found using the following command:
```bash
loki --info | grep 'config_file' | awk '{print $2}'
```
Each line in the `visible_tools` array lists a tool.
If that line is commented out, then that tool is not included in the global tool set, and cannot be used in any context;
This means it will not be built, and even if enabled under `enabled_tools`, it still will not be available in any
context.
### Role Configuration
When you create a role, you have the following global tool-related configuration options available to you:
```yaml
enabled_tools: query_jira_issues # Which tools the role uses.
```
The values for `mapping_tools` are inherited from the [global configuration](#global-configuration).
For more information about roles, refer to the [Roles](../ROLES.md) documentation.
### Agent Configuration
When you create an agent, you have the following global tool-related configuration options available to you:
```yaml
global_tools: # Which global tools the agent uses
- query_jira_issues.sh
- fs_cat.sh
- fs_ls.sh
```
The values for `mapping_tools` are inherited from the [global configuration](#global-configuration).
For more information about agents, refer to the [Agents](../AGENTS.md) documentation.
For a full example configuration for an agent, see the [Agent Configuration Example](../../config.agent.example.yaml) file.
Binary file not shown.

Before

Width:  |  Height:  |  Size: 370 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 587 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 446 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 8.1 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 1.0 MiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 21 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 878 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 170 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 225 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 189 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 67 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 46 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 303 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 63 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 151 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 30 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 78 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 43 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 58 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 60 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 60 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 58 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 70 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 68 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 67 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 66 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 67 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 63 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 55 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 67 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 57 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 60 KiB

Some files were not shown because too many files have changed in this diff Show More