README
¶
ai-toolkit
A personal, highly opinionated set of Go packages for working with chat-based LLMs. It's built for my own use and reflects my own taste in API design — there are more mature, better-supported libraries out there, and you should probably reach for one of those first. But if it happens to fit your needs as-is, feel free to use it.
Requires Go 1.26.5+. Supported providers: OpenRouter, Ollama, and Anthropic.
go get github.com/jjmrocha/ai-toolkit
| Package | What it does | Builds on |
|---|---|---|
llm |
One chat API across three providers | — |
tools |
Registers tools and dispatches the model's calls | llm |
mcp |
Turns an MCP server's tools into tools entries |
llm, tools |
skills |
On-demand instructions the model loads by name | llm, tools |
agent |
Runs the call-tool-feed-back loop for you | llm, tools, skills |
packs |
Ready-made tool bundles, registered in one call | mcp, tools |
The sections below are a tour. The full API reference lives on pkg.go.dev.
llm
One API for chatting with OpenRouter, Ollama, or Anthropic — swap Provider and
Model to change backends.
model, err := llm.New(llm.Config{
Provider: llm.ProviderOpenRouter,
APIKey: os.Getenv("OPENROUTER_API_KEY"),
Model: "openai/gpt-4o",
})
if err != nil {
log.Fatal(err)
}
reply, err := model.Chat(context.Background(), []llm.Message{
llm.SystemMessage{Content: "You are concise."},
llm.UserMessage{Content: "What is the capital of Portugal?"},
}, nil)
if err != nil {
log.Fatal(err)
}
fmt.Println(reply.Content)
fmt.Printf("tokens: %d\n", reply.Stats.TotalTokens)
Worth knowing:
- Ollama needs no API key.
- Every reply carries
Stats— including prompt-cache reads and writes — and the provider's nativeStopReason. Config.Effortmaps one knob,EffortOffthroughEffortMax, onto Anthropic's adaptive-thinking effort level and OpenRouter/Ollama's reasoning level. The values are relative rungs, not provider literals, so the sameEffortreaches each backend as whatever that backend calls it.Config.Modelslists whatChangeModelmay switch to mid-conversation; the active model is always included.ChangeModelandChangeEffortboth validate before they mutate and return an error otherwise, so a rejected switch leaves the client on its current settings.
tools
Removes the two chores of tool calling: writing parameter schemas by hand and dispatching the model's calls yourself.
toolBox := tools.NewToolBox()
toolBox.Add(
llm.Tool{
Name: "get_weather",
Description: "Get the current weather for a city",
Schema: tools.NewObjectBuilder().
String("city", "the city to look up", true).
Build(),
},
func(ctx context.Context, args map[string]any) (string, error) {
city, err := tools.NewArguments(args).GetString("city")
if err != nil {
return "", err
}
return weatherFor(ctx, city) // your code
},
)
reply, err := model.Chat(ctx, messages, toolBox.Tools())
// ...
for _, call := range reply.ToolCalls {
msg, err := toolBox.Execute(ctx, call) // looks up and runs the handler
if err != nil {
return err
}
messages = append(messages, *msg)
}
Worth knowing:
Toolsreturns a name-sorted slice, so the tool section of the prompt stays byte-identical across requests — which is what prompt caching needs.- A
ToolBoxis safe for concurrent use: tools can be added and removed while other goroutines list or execute them. ObjectBuildernests — pass one toObjectorArrayOfObjectsto describe schemas of any depth.Argumentsaccessors returnErrFieldNotFoundorErrInvalidFieldTypeinstead of panicking, and take anintwhere JSON handed you afloat64.ValidToolNameandSanitizeToolNameapply the providers' naming rules (64 characters; letters, digits,_,-) to names from outside sources.
mcp
Connects a stdio-based MCP server to a
tools.ToolBox, so the tools it exposes become callable like any other tool.
toolBox := tools.NewToolBox()
mcpClient, err := mcp.NewClient(ctx, mcp.ClientConfig{
Name: "playwright",
Command: "npx",
Args: []string{"@playwright/mcp@latest"},
})
if err != nil {
log.Fatal(err)
}
defer mcpClient.Close()
if err := mcpClient.RegisterTools(ctx, toolBox); err != nil {
log.Fatal(err)
}
reply, err := model.Chat(ctx, messages, toolBox.Tools()) // MCP tools included
Worth knowing:
- Tools are namespaced
"<Name>__<tool>", e.g.playwright__browser_navigate. A namespaced name the providers would reject is rewritten rather than dropped; the server is still called by the name it published. - Requests are matched to responses by id, so several may be in flight at once. One blocked on a silent server returns when its context is cancelled or its deadline expires.
- A server whose handshake declares no tools capability is never asked for a tool list.
RegisterToolsregisters nothing and succeeds, so a resources-only or prompts-only server keeps running instead of being torn down for declining a method it never claimed. Closeshuts the process down and removes the tools it registered, aborting any call still waiting on the server.ToolCallTimeoutbounds one call to this server's tools, defaulting to two minutes. It is a ceiling inside the caller's own context, so a server that goes quiet fails that single call and leaves the caller's deadline intact — the agent loop reports the failure to the model and carries on rather than losing the turn.CommandandArgsare run without a shell, but they are still trusted input: supply them from operator configuration, never from an untrusted source.
Manager
Runs several MCP servers on demand against a shared ToolBox — for example, to
expose a server's tools only while a user has it switched on.
manager := mcp.NewManager(toolBox)
manager.Register(mcp.ClientConfig{
Name: "playwright",
Command: "npx",
Args: []string{"@playwright/mcp@latest"},
})
defer manager.Close()
if err := manager.Start(ctx, "playwright"); err != nil {
log.Fatal(err)
}
for _, status := range manager.Status() {
fmt.Printf("%s active=%t\n", status.Name, status.Active)
}
manager.Stop("playwright") // tools removed, config kept for a later Start
Register records a launch configuration without starting it. Start and Stop
bring a server up and down by name, keeping the configuration for a later
restart; a server whose process has died is replaced on the next Start.
Status reports which are running and Close stops everything. Safe for
concurrent use.
skills
A skill is a folder with a SKILL.md inside: frontmatter carrying a name and a
description, and a body holding the instructions. You add the folders a session
should have — nothing is discovered automatically.
collection := skills.NewCollection()
if err := collection.Add("./skills/git-release"); err != nil {
log.Fatal(err)
}
if err := collection.AddClaudeSkill("git-release"); err != nil {
log.Fatal(err)
}
---
name: git-release
description: Draft release notes and propose a version bump
---
Read the merged PRs since the last tag, then ...
Worth knowing:
- Only names and descriptions reach the model up front, as an
<available_skills>block appended to the session's system prompt. Bodies load on demand, so a long skill costs nothing until it is used. - Three tools are registered for the session:
skill_loadreturns a skill's instructions plus the list of files it ships,skill_load_filereturns one of those files, andskill_execute_fileruns one of them. skill_load,skill_load_fileandskill_execute_fileare reserved tool names. A tool already registered under any of them is replaced while the session lasts, and removed when it ends.AddClaudeSkilladds a skill by name from the user's Claude skills folder,~/.claude/skills, and isAddin every other respect. The name has to be a single folder in there — anything that would step outside it,../otherincluded, is rejected withErrInvalidSkillName, and a name that is not there getsAdd's ownErrSkillFolderNotFound.- An agent wires the collection up on
StartSession; on its own,RegisterToolsadds the three tools to anyToolBoxandUnregisterToolstakes them back out.Catalogrenders the<available_skills>block, andSkillslists the names added so far, sorted. - File access is confined to the skill folder with
os.OpenRoot, so a symlink pointing outside it is neither listed nor readable, and the model is never told the folder's real path. skill_execute_fileruns the file directly, from the skill's folder, with the arguments the model supplies and no shell. The file needs its own execute bit and shebang; the package never changes file modes, and it infers no interpreter from the extension. A file the skill does not ship cannot be run.- A non-zero exit is a result, not a failure: the tool returns the process's combined output and its exit status, and reports an error only when the process could not run at all.
- Output is collected up to 1 MiB, after which the script is stopped and the result is marked truncated. A stopped script's exit status describes the kill rather than a choice it made.
- The script gets no stdin, so one that reads input sees end of input at once instead of waiting.
- Execution honours the context passed to
Processand nothing else — there is no built-in timeout. It also leaves theos.OpenRootsandbox behind: the process runs with the same authority as the program that started it and inherits its environment, credentials included, so add only folders you trust, exactly as with anmcpserver command. - The body and the file list are read once, by
Add. Editing a skill on disk does not change a collection already built. - Frontmatter is parsed as YAML, so any valid YAML scalar works for
nameanddescription— quoted, folded (>) or literal (|). Keys other than those two are ignored whatever they hold, including nested mappings and sequences. Content that is not valid YAML, or that maps either key to something other than a scalar, is rejected withErrInvalidFrontmatter. - The catalog is sorted by name, so the system prompt stays byte-identical across sessions built from the same collection — which is what prompt caching needs.
packs
A pack is a bundle of tools that arrives ready to use: one call registers it in
a ToolBox, and the returned ToolPack takes it back out again.
pack, err := packs.WebTools(ctx, toolBox)
if err != nil {
log.Fatal(err)
}
defer pack.Close()
WebTools
WebTools gives the model web search, page fetching and site crawling, backed by
DonSeTch. It is keyless, so the only
prerequisite is the donsetch executable on PATH.
Worth knowing:
- The server publishes
web_search,web_fetchandweb_crawl, registered asdonsetch__web_search,donsetch__web_fetchanddonsetch__web_crawl. ToolPack.Closestops the server process and removes its tools from theToolBox. It must be called: nothing else owns the process, so a droppedToolPackleaves the server running for the life of the program.- A registration that fails closes the server before returning, so a failed
WebToolsleaves nothing behind. - The tool call ceiling is 15 minutes rather than the two-minute default.
web_crawlaccepts adeadline_sof up to 600 seconds and the other two adeadline_msof up to 600000, so a shorter ceiling would kill a long call before the server could report its own deadline — and the server's error tells the model what to do next, where a client-side timeout does not. - The three tools carry roughly 15 KB of descriptions and schemas, which every request pays for while they are registered. Close the pack when a session has finished with the web.
packs.DonSeTchMCPConfig()returns themcp.ClientConfigthis pack starts the server from, a fresh value each call that shares nothing with the pack. Adjust the returned config freely — a variant built from it goes throughmcp.NewClientandRegisterTools, not throughWebTools.
CodingTools
CodingTools gives the model a code base: symbol-aware navigation and editing,
diagnostics, file and directory access, shell execution, project memories and
read-only queries against other projects, backed by
Serena. It is keyless, so the only
prerequisite is the uvx executable on PATH.
pack, err := packs.CodingTools(ctx, toolBox)
if err != nil {
log.Fatal(err)
}
defer pack.Close()
Worth knowing:
- The server starts with no project. The model reaches a code base by calling
serena__activate_project, and the symbolic tools fail until it does. - One project is active at a time, and activating another shuts the previous one's language servers down. A second code base is read without switching through
serena__query_project, which runs one read-only tool against a project Serena already has registered — the editing tools and the shell are refused there, so a queried repository cannot be changed. Its symbolic tools reach the other project through Serena's project server, which is a separateserena start-project-serverprocess the pack does not launch;read_file,list_dir,find_fileandsearch_for_patternneed no such thing.serena__list_queryable_projectsnames what can be queried, and a repository Serena has never registered is not on that list. - This pack writes files and runs commands. Serena inherits the authority of the program that started it — the whole filesystem, the environment and its credentials — and the model, not the caller, picks the project directory. Register it only for a model and a conversation you would trust with a shell, and remember that anything the model reads out of a repository can steer what it does next.
- The pack launches Serena from
git+https://github.com/oraios/serena, unpinned, so a run executes whatever is on that branch at the time. Pinning is the operator's to add: takepacks.SerenaMCPConfig(), point its--fromargument at a tag, and usemcp.NewClientwithRegisterToolsdirectly, which is all this pack does. - Serena's own manual — how its tools fit together, and when to prefer symbolic search over reading whole files — is a tool call away as
serena__initial_instructions. It is worth having the model read it early, because the tool descriptions alone do not convey the workflow. - The tools are registered under a
serena__prefix, sofind_symbolbecomesserena__find_symbol. The exact set is whatever the server publishes, so it moves with Serena's own development rather than being fixed here. - The tool call ceiling is 360 seconds rather than the two-minute default. Serena enforces its own per-call timeout, 240 seconds by default, and the client ceiling sits above it so the server's error reaches the model — a client-side timeout does not say what to do next.
- The first symbolic call on a newly activated project is the slow one: Serena downloads that language's server if it is missing and indexes the project inside that call's budget.
ToolPack.Closestops the server process and removes its tools from theToolBox. It must be called: nothing else owns the process, so a droppedToolPackleaves the server running for the life of the program.- A registration that fails closes the server before returning, so a failed
CodingToolsleaves nothing behind. - This is a far wider pack than
WebTools: 31 tools carrying roughly 30 KB of descriptions and schemas, twice the web pack's bill and paid on every request while they are registered. Close the pack when a session has finished with the code. packs.SerenaMCPConfig()returns themcp.ClientConfigthis pack starts the server from — Serena'sdesktop-appcontext with itsquery-projectsmode added — on the same terms asDonSeTchMCPConfig(): a fresh value each call, free to adjust and hand tomcp.NewClient.
ShellTools
ShellTools gives the model one tool, shell_run, that runs a command line
with /bin/sh. Nothing is launched to serve it, so it takes no context and
cannot fail:
pack := packs.ShellTools(toolBox)
defer pack.Close()
Worth knowing:
- The call supplies the
command, and optionally aworkdirand atimeout_ms. The command runs as/bin/sh -c <command>from the program's own working directory unlessworkdirsays otherwise. timeout_msruns from 1 to 600000 and defaults to 120000. A value outside that range is rejected withErrInvalidTimeoutbefore anything runs.- A command that outlasts its timeout is stopped, and the model is told to retry with a larger
timeout_ms— a result rather than an error, because the error text alone would not say what to do next. The output collected up to that point is lost. - The result carries the exit status and the combined stdout and stderr, in the order the command wrote them, in the same shape
skill_execute_fileuses. A non-zero exit is a result, not an error. - Output is collected up to 1 MiB, after which the command is stopped and the result is marked truncated. A stopped command's exit status describes the kill rather than a choice it made.
- The command gets no stdin, so one that reads input sees end of input at once instead of waiting.
- The shell runs with the authority of the program that registered the tool: the whole filesystem, the environment and its credentials. Register it only for a model and a conversation you would trust with a shell.
/bin/shis fixed, and no startup file is read.PATHis the one the program itself inherited, so a directory added only in an interactive shell's.zshrcor.bashrcis not on it.ToolPack.Closeonly removes the tool from theToolBox. There is no process to leak, so a droppedToolPackcosts nothing beyond the tool staying registered.- The tool carries roughly 700 bytes of description and schema, which every request pays for while it is registered.
FileTools
FileTools gives the model files under one folder it cannot leave — for an
agent that writes reports or notes rather than code, and so has no business
loading CodingTools:
pack, err := packs.FileTools(toolBox, "./workspace")
if err != nil {
log.Fatal(err)
}
defer pack.Close()
| Tool | What it does |
|---|---|
file_read |
Reads a text file a page at a time: path, and optionally offset and limit |
file_write |
Writes a file whole, creating the folders its path needs |
file_edit |
Replaces one piece of text inside a file |
file_list |
Lists one folder, sorted by name, with each entry's full path |
file_delete |
Removes a file, or a folder that is already empty |
file_workdir |
Returns the root's absolute path, for naming a file to a tool outside the root |
Worth knowing:
- The confinement is
os.Root. Paths are relative to the root, and one that leaves it — by climbing out, by being absolute, or through a symbolic link — is refused rather than followed. This is the one pack with a boundary:CodingToolsandShellToolsboth run with the program's full authority. FileToolsfails, registering nothing, when the root cannot be opened. The folder has to exist; the pack does not create it.file_readreturns<file lines="1-40 of 120">, so the model can tell a page from a whole file and call again with a largeroffset. It reads at most 2000 lines by default and stops at 1 MiB, whichever comes first.- Arguments are always relative to the root; an absolute path is refused, even one that points inside it. Two results hand out absolute paths anyway, for the model to pass on to a tool that is not confined here:
file_writeanswerswrote 8 bytes to notes.md - /Users/you/workspace/notes.md, andfile_listgives one element per entry —<file name="q1.md" size="8" path="/Users/you/workspace/reports/q1.md"/>and<dir name="2026" path="/Users/you/workspace/reports/2026"/>. file_editwrites nothing unless itsold_stringappears exactly once — zero matches isErrNoMatch, several isErrManyMatches. An edit never lands somewhere the model did not mean, and the file is left untouched on either error.file_deletewill not empty a folder: a folder that still holds anything is kept, so nothing recursive happens behind one call. Deleting a tree means deleting its files first.- The root is not a secret.
file_workdirreports it,file_writeandfile_listembed it, and error text quotes the failing path in full — which is what lets a file written here be named toshell_runor aCodingToolstool. Root the pack at a folder whose path is safe to disclose. file_workdirtakes no arguments and reports the root as an absolute path, resolved when the pack was built. A pack rooted at a relative path still reports an absolute one, and a laterchdirdoes not change the answer.ToolPack.Closeremoves the six tools and closes the root. There is no process to leak.- The six tools carry roughly 1.7 KB of descriptions and schemas, which every request pays for while they are registered.
agent
Ties llm and tools into a conversation loop: send user input, run whatever
tools the model asks for, feed the results back, and repeat until the model
returns a final answer — so you don't write that loop yourself.
agt, err := agent.New(agent.Config{MaxIterations: 10}, model)
if err != nil {
log.Fatal(err)
}
defer agt.Close()
agt.StartSession(agent.SessionConfig{
Prompt: "You are a helpful weather assistant.",
ToolBox: toolBox,
Skills: collection,
})
resp, err := agt.Process(ctx, "What should I wear in Lisbon today?")
if err != nil {
log.Fatal(err)
}
fmt.Println(resp.Content)
fmt.Printf("%d tool calls, %d tokens\n",
resp.Metadata.ToolCalls, resp.Metadata.TotalTokens)
Worth knowing:
- A failing tool is reported back to the model as its error text, so the model can recover instead of the turn aborting.
- Once a completed turn crosses
Config.CompactionThresholdPercentof the model's context window (85% by default), the older turns are summarized into a single message while the system prompt and recent turns are kept verbatim. Config.MaxIterationscaps the model/tool rounds perProcesscall; zero means no limit, and hitting the cap returnsErrMaxIterations.Response.Metadatareports token usage, stop reason, per-phase timing, and iteration and tool-call counts.StartSessiondeclares everything the model sees: the system prompt, theToolBoxit may call, and theskills.Collectionit may load from. All three last untilCloseor the nextStartSession, so one agent can run differently equipped sessions.- A
SessionConfig.Skillscollection has its tools registered in the session'sToolBoxand its catalog appended to the prompt;Closeremoves those tools again. - Install a
Feedbacksink withSetFeedbackto observe tool calls and session events; the default is silent.ToolCalled(toolName string, args map[string]any)fires just before each tool runs, with the arguments the model supplied — JSON-typed, so numbers arefloat64, and nil for a call with none. The map is the one the tool is about to run with, so a sink must read it, not modify it.
License
MIT — see LICENSE.
Directories
¶
| Path | Synopsis |
|---|---|
|
Package agent drives a multi-turn, tool-calling conversation with an LLM.
|
Package agent drives a multi-turn, tool-calling conversation with an LLM. |
|
internal
|
|
|
helper
Package helper holds the building blocks the rest of the toolkit shares.
|
Package helper holds the building blocks the rest of the toolkit shares. |
|
Package llm provides a provider-agnostic client for chat-based large language models.
|
Package llm provides a provider-agnostic client for chat-based large language models. |
|
Package mcp connects stdio-based MCP (Model Context Protocol) servers to a ToolBox from the tools package.
|
Package mcp connects stdio-based MCP (Model Context Protocol) servers to a ToolBox from the tools package. |
|
Package packs bundles tools that arrive ready to use.
|
Package packs bundles tools that arrive ready to use. |
|
Package skills gives a model instructions it loads only when it needs them.
|
Package skills gives a model instructions it loads only when it needs them. |
|
Package tools helps wire model tool calls to Go code.
|
Package tools helps wire model tool calls to Go code. |