redb.Route.Llm.Tools 3.2.0

redb.Route.Llm.Tools

Optional batteries package for redb.Route.Llm. Ships reusable building blocks the agent engine can dispatch to as tools.

Every tool is shipped twice:

1. As a DSL extension on IRouteDefinition — the canonical, composable form. Plug into any existing route step (LLM tool, AMQP enrichment, HTTP pipeline) by adding .HttpFetch(opts) / .JsonPath() / etc. just like any other built-in route operator.
2. As a standalone RouteBuilder wrapper — a thin convenience class (HttpFetchTool, JsonPathTool, …) that mounts the same logic behind a direct: endpoint with the right AsLlmTool(...) aspect already attached. Use it when you want to hand a single object to context.AddRoutes(...) — for example for external/process tools (shell, RPC) where the direct: indirection is the whole point.

Pick the DSL extension for everything else.

Pre-built tools

The query/eval extensions (JsonPath, XPath, MathEval) are thin wrappers over redb.Route framework primitives — same engines the rest of the framework uses for jpath()/xpath()/expression evaluation in routes. Use as-is, or copy the pattern to author your own.

Why both forms? The DSL extension is the canonical way to compose a tool into any route. The standalone wrapper class is kept (a) so external/process tools (HTTP, Tavily, shell) have a clean direct: mount point and (b) as a copy-paste reference — every wrapper in this package is literally a one-line bridge From(uri).AsLlmTool(...).Then().Xxx(opts), so they double as the canonical template for authoring your own RouteBuilder-shaped tool.

Wiring — the DSL way (preferred)

services.AddRedbRoute(route =>
{
    route.Services.AddRedbRouteLlm();

    route.AddRouteBuilder(new InlineToolRoutes());
});

internal sealed class InlineToolRoutes : RouteBuilder
{
    protected override void Configure()
    {
        var fetchOpts = new HttpFetchOptions { HostAllowlist = ["api.example.com"] };
        var tavily    = new TavilyWebSearchOptions { ApiKey = Env.Var("TAVILY_API_KEY") };

        From("direct:llm.http_fetch")
            .AsLlmTool("http_fetch").Description("HTTP GET a URL.").Then()
            .HttpFetch(fetchOpts);

        From("direct:llm.json_path")
            .AsLlmTool("json_path").Description("Query a JSON document via JsonPath.").Then()
            .JsonPath();

        From("direct:llm.xpath")
            .AsLlmTool("xpath").Description("Query an XML document via XPath 1.0.").Then()
            .XPath();

        From("direct:llm.regex_extract")
            .AsLlmTool("regex_extract").Description("Extract text by a .NET regex.").Then()
            .RegexExtract();

        From("direct:llm.math_eval")
            .AsLlmTool("math_eval").Description("Evaluate an arithmetic expression.").Then()
            .MathEval();

        From("direct:llm.web_search")
            .AsLlmTool("web_search").Description("Search the web via Tavily.").Then()
            .TavilyWebSearch(tavily);
    }
}

DSL extensions are equally usable as plain enrichment steps in any pipeline — no AsLlmTool(...) required:

From("amqp:queue:urls")
    .HttpFetch(opts)
    .JsonPath(new JsonPathOptions())   // pre-pull a field
    .To("amqp:queue:enriched");

Wiring — the wrapper way (only for self-contained delivery)

When you want to ship a tool as a single object — typically because the route is exposed only via its direct: endpoint and never composed further:

services.AddRedbRoute(route =>
{
    route.Services.AddRedbRouteLlm();
    route.AddRouteBuilder(new HttpFetchTool(new HttpFetchOptions
    {
        HostAllowlist = ["api.example.com"]
    }));
    route.AddRouteBuilder(new JsonPathTool());
    route.AddRouteBuilder(new XPathTool());
    route.AddRouteBuilder(new RegexExtractTool());
    route.AddRouteBuilder(new MathEvalTool());
    route.AddRouteBuilder(new TavilyWebSearchTool(new TavilyWebSearchOptions
    {
        ApiKey = Environment.GetEnvironmentVariable("TAVILY_API_KEY")!
    }));
});

The wrappers do nothing more than From(opts.EndpointUri).AsLlmTool(...).Then().Xxx(opts) — the canonical idiom for external/process tools (e.g. the shell-out tool in demos/Llm.HttpShell).

Reference the registered tool name in any LLM step:

.To(LlmDsl.Factory("openai")
    .Tools("http_fetch", "json_path", "xpath", "regex_extract", "math_eval", "web_search")
    .MaxIterations(6)
    .AsUri())

Tool I/O contracts

json_path / .JsonPath()

• Input: {"json":"<document>","path":"$.foo[0].bar"}
• Output: matched value re-serialised as JSON, or null if nothing matches.
• Path syntax: full Newtonsoft JsonPath dialect — recursive descent (..), wildcards ([*]), filters ([?(@.x > 1)]), slicing ([1:5]), plus the simple property/index forms. Same engine that backs redb.Route.Expressions.JsonPathExpression.

xpath / .XPath()

• Input: {"xml":"<document>","xpath":"//book[1]/title"}
• Output: matched value as a string, or null if nothing matches. Use XPath functions like string(...) / count(...) to coerce node-sets to scalars.
• Backed by redb.Route.Expressions.XPathExpression (W3C XPath 1.0 via System.Xml.XPath).

regex_extract / .RegexExtract()

• Input: {"text":"...","pattern":"...","group":"name|number","all":bool}
• Output: matched string, or array of strings (all:true), or null.
• group selects a capture group; "0" or omitted = whole match.
• Pattern execution is bounded by RegexExtractOptions.MatchTimeout (default 1 s) — guards against catastrophic backtracking from a careless pattern.

math_eval / .MathEval()

• Input: {"expression":"2 * (3 + 4)"}
• Output: result re-serialised as JSON (number, string, bool, or null).
• Grammar: whatever redb.Route.Expressions.ExpressionResolver accepts — arithmetic (+ - * /), comparisons, ternary (?:), null-coalescing (??), boolean operators (AND/OR/NOT), property/header/body refs, jpath(...). Compilation is cached, so repeated calls with the same text are effectively free.

http_fetch / .HttpFetch()

• Input: {"url":"https://..."}
• Output: response body as UTF-8 text. Bytes past HttpFetchOptions.MaxBytes are truncated; llm.http_fetch.truncated header is set in that case.
• Guards: HostAllowlist (case-insensitive exact match — leave empty only in trusted contexts), MaxBytes (default 1 MiB), Timeout (default 15 s).

web_search / .TavilyWebSearch()

• Input: {"query":"...","max_results":int?}
• Output: {"answer":"...","results":[{"title","url","content"}]} — answer is omitted if Tavily did not return one.
• Requires a Tavily API key (TavilyWebSearchOptions.ApiKey); set IncludeAnswer=false if you only want raw results.

Authoring your own tool

The DSL-extension shape (preferred):

public static class MyToolDsl
{
    public static IRouteDefinition MyTool(this IRouteDefinition self, MyToolOptions? options = null)
    {
        options ??= new MyToolOptions();
        return self.Process(async (exchange, ct) =>
        {
            // Read JSON input from exchange.In.Body, write result to exchange.Out.Body.
            // Use LlmToolJson.ParseObject(...) to validate the input shape.
        });
    }
}

Wire it on a tool route exactly like the built-ins:

From("direct:llm.my_tool")
    .AsLlmTool("my_tool").Description("...").Input(MySchema).Then()
    .MyTool(opts);

For external/process tools where you really need a self-contained RouteBuilder (shell-out, RPC), keep the wrapper-class idiom — see HttpFetchTool / TavilyWebSearchTool in this package and the shell tool in demos/Llm.HttpShell for examples.

Package depends on redb.Route.Llm.Abstractions only — does not require the redb.Route.Llm engine at compile time. The engine is needed at runtime to actually dispatch the tools.