restructured answers a bit

Refactored LLM handling to use updated langchaingo models and tools, replacing gollm dependencies. Introduced agent-related utilities, tools, and counters for better modular functionality. Added a parser for LLM model configuration and revamped the answering mechanism with enhanced support for tool-based interaction.

go.mod

@@ -9,11 +9,14 @@ replace gitea.stevedudenhoeffer.com/steve/go-llm => ../go-llm
 require (
 	gitea.stevedudenhoeffer.com/steve/go-extractor v0.0.0-20250123020607-964a98a5a884
 	gitea.stevedudenhoeffer.com/steve/go-llm v0.0.0-20250123045620-0d909edd44d9
+	github.com/Edw590/go-wolfram v0.0.0-20241010091529-fb9031908c5d
 	github.com/advancedlogic/GoOse v0.0.0-20231203033844-ae6b36caf275
 	github.com/joho/godotenv v1.5.1
 	github.com/playwright-community/playwright-go v0.5001.0
 	github.com/rocketlaunchr/google-search v1.1.6
+	github.com/tmc/langchaingo v0.1.13
 	github.com/urfave/cli v1.22.16
+	golang.org/x/sync v0.11.0
 )
 
 require (
@@ -23,6 +26,9 @@ require (
 	cloud.google.com/go/auth/oauth2adapt v0.2.7 // indirect
 	cloud.google.com/go/compute/metadata v0.6.0 // indirect
 	cloud.google.com/go/longrunning v0.6.4 // indirect
+	github.com/Masterminds/goutils v1.1.1 // indirect
+	github.com/Masterminds/semver/v3 v3.2.0 // indirect
+	github.com/Masterminds/sprig/v3 v3.2.3 // indirect
 	github.com/PuerkitoBio/goquery v1.10.2 // indirect
 	github.com/andybalholm/cascadia v1.3.3 // indirect
 	github.com/antchfx/htmlquery v1.3.4 // indirect
@@ -31,6 +37,8 @@ require (
 	github.com/araddon/dateparse v0.0.0-20210429162001-6b43995a97de // indirect
 	github.com/cpuguy83/go-md2man/v2 v2.0.6 // indirect
 	github.com/deckarep/golang-set/v2 v2.7.0 // indirect
+	github.com/dlclark/regexp2 v1.10.0 // indirect
+	github.com/dustin/go-humanize v1.0.1 // indirect
 	github.com/fatih/set v0.2.1 // indirect
 	github.com/felixge/httpsnoop v1.0.4 // indirect
 	github.com/gigawattio/window v0.0.0-20180317192513-0f5467e35573 // indirect
@@ -51,29 +59,44 @@ require (
 	github.com/google/uuid v1.6.0 // indirect
 	github.com/googleapis/enterprise-certificate-proxy v0.3.4 // indirect
 	github.com/googleapis/gax-go/v2 v2.14.1 // indirect
+	github.com/goph/emperror v0.17.2 // indirect
+	github.com/huandu/xstrings v1.3.3 // indirect
+	github.com/imdario/mergo v0.3.13 // indirect
 	github.com/jaytaylor/html2text v0.0.0-20230321000545-74c2419ad056 // indirect
+	github.com/json-iterator/go v1.1.12 // indirect
 	github.com/kennygrant/sanitize v1.2.4 // indirect
 	github.com/liushuangls/go-anthropic/v2 v2.13.1 // indirect
 	github.com/mattn/go-runewidth v0.0.16 // indirect
+	github.com/mitchellh/copystructure v1.0.0 // indirect
+	github.com/mitchellh/reflectwalk v1.0.0 // indirect
+	github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd // indirect
+	github.com/modern-go/reflect2 v1.0.2 // indirect
+	github.com/nikolalohinski/gonja v1.5.3 // indirect
 	github.com/olekukonko/tablewriter v0.0.5 // indirect
+	github.com/pelletier/go-toml/v2 v2.0.9 // indirect
 	github.com/pkg/errors v0.9.1 // indirect
+	github.com/pkoukk/tiktoken-go v0.1.6 // indirect
 	github.com/rivo/uniseg v0.4.7 // indirect
 	github.com/russross/blackfriday/v2 v2.1.0 // indirect
 	github.com/saintfish/chardet v0.0.0-20230101081208-5e3ef4b5456d // indirect
 	github.com/sashabaranov/go-openai v1.37.0 // indirect
+	github.com/shopspring/decimal v1.2.0 // indirect
+	github.com/sirupsen/logrus v1.9.3 // indirect
+	github.com/spf13/cast v1.3.1 // indirect
 	github.com/ssor/bom v0.0.0-20170718123548-6386211fdfcf // indirect
 	github.com/temoto/robotstxt v1.1.2 // indirect
+	github.com/yargevad/filepathx v1.0.0 // indirect
 	go.opentelemetry.io/auto/sdk v1.1.0 // indirect
 	go.opentelemetry.io/contrib/instrumentation/google.golang.org/grpc/otelgrpc v0.59.0 // indirect
 	go.opentelemetry.io/contrib/instrumentation/net/http/otelhttp v0.59.0 // indirect
 	go.opentelemetry.io/otel v1.34.0 // indirect
 	go.opentelemetry.io/otel/metric v1.34.0 // indirect
 	go.opentelemetry.io/otel/trace v1.34.0 // indirect
+	go.starlark.net v0.0.0-20230302034142-4b1e35fe2254 // indirect
 	golang.org/x/crypto v0.34.0 // indirect
 	golang.org/x/exp v0.0.0-20250218142911-aa4b98e5adaa // indirect
 	golang.org/x/net v0.35.0 // indirect
 	golang.org/x/oauth2 v0.26.0 // indirect
-	golang.org/x/sync v0.11.0 // indirect
 	golang.org/x/sys v0.30.0 // indirect
 	golang.org/x/text v0.22.0 // indirect
 	golang.org/x/time v0.10.0 // indirect
@@ -83,4 +106,5 @@ require (
 	google.golang.org/genproto/googleapis/rpc v0.0.0-20250219182151-9fdb1cabc7b2 // indirect
 	google.golang.org/grpc v1.70.0 // indirect
 	google.golang.org/protobuf v1.36.5 // indirect
+	gopkg.in/yaml.v3 v3.0.1 // indirect
 )

pkg/agent/agent.go

@@ -0,0 +1,117 @@
+package agent
+
+import (
+	"context"
+	"encoding/json"
+	"errors"
+	"fmt"
+
+	"gitea.stevedudenhoeffer.com/steve/answer/pkg/toolbox"
+
+	"github.com/tmc/langchaingo/llms"
+
+	cache2 "gitea.stevedudenhoeffer.com/steve/answer/pkg/cache"
+	"gitea.stevedudenhoeffer.com/steve/answer/pkg/extractor"
+	"gitea.stevedudenhoeffer.com/steve/answer/pkg/search"
+)
+
+type Options struct {
+	MaxSearches  int
+	MaxQuestions int
+}
+type Agent struct {
+	RemainingSearches  *Counter
+	RemainingQuestions *Counter
+	Search             search.Search
+	Cache              cache2.Cache
+	Extractor          extractor.Extractor
+	Model              llms.Model
+}
+
+type Answers struct {
+	Response llms.MessageContent
+	Answers  []Answer
+}
+
+type Answer struct {
+	Answer           string
+	Source           string
+	ToolCallResponse llms.ToolCallResponse `json:"-"`
+}
+
+type Question struct {
+	Question string
+}
+
+func New(o Options) *Agent {
+	searches := &Counter{}
+	searches.Add(int32(o.MaxSearches))
+
+	questions := &Counter{}
+	questions.Add(int32(o.MaxQuestions))
+
+	return &Agent{
+		RemainingSearches:  searches,
+		RemainingQuestions: questions,
+	}
+}
+
+var (
+	ErrOutOfSearches  = errors.New("out of searches")
+	ErrOutOfQuestions = errors.New("out of questions")
+)
+
+func ask(ctx *Context, q Question) (Answers, error) {
+	var tb = toolbox.ToolBox{}
+
+	if ctx.Agent.RemainingSearches.Load() > 0 {
+		tb.Register(SearchTool)
+	}
+	tb.Register(WolframTool)
+	tb.Register(AnswerTool)
+
+	return tb.Run(ctx, q)
+}
+
+var SummarizeAnswers = toolbox.FromFunction(
+	func(ctx *Context, args struct {
+		Summary string `description:"the summary of the answers"`
+	}) (toolbox.FuncResponse, error) {
+		return toolbox.FuncResponse{Result: args.Summary}, nil
+	}).
+	WithName("summarize_answers").
+	WithDescription(`You are given previously figured out answers and they are in the format of: [ { "answer": "the answer", "source": "the source of the answer" }, { "answer": "answer 2", "source": "the source for answer2" } ]. You need to summarize the answers into a single string.  Be sure to make the summary clear and concise, but include the sources at some point.`)
+
+// Ask is an incoming call to the agent, it will create an internal Context from an incoming context.Context
+func (a *Agent) Ask(ctx context.Context, q Question) (string, error) {
+	c := From(ctx, a)
+	if !a.RemainingQuestions.Take() {
+		return "", ErrOutOfQuestions
+	}
+
+	answers, err := ask(c, q)
+	if err != nil {
+		return "", err
+	}
+
+	tb := toolbox.ToolBox{}
+
+	tb.Register(SummarizeAnswers)
+
+	b, err := json.Marshal(answers.Answers)
+	if err != nil {
+		return "", fmt.Errorf("failed to marshal answers: %w", err)
+	}
+
+	answers, err = tb.Run(c, Question{Question: string(b)})
+
+	if err != nil {
+		return "", fmt.Errorf("failed to summarize answers: %w", err)
+	}
+
+	if len(answers.Answers) == 0 {
+		return "", errors.New("no response from model")
+	}
+	return answers.Answers[0].Answer, nil
+
+}

pkg/agent/answertool.go

@@ -0,0 +1,12 @@
+package agent
+
+import "gitea.stevedudenhoeffer.com/steve/answer/pkg/toolbox"
+
+var AnswerTool = toolbox.FromFunction(
+	func(ctx *Context, args struct {
+		Answer string `description:"the answer to the question"`
+	}) (toolbox.FuncResponse, error) {
+		return toolbox.FuncResponse{Result: args.Answer}, nil
+	}).
+	WithName("answer").
+	WithDescription("Answer the question")

pkg/agent/ask.go

@@ -0,0 +1,48 @@
+package agent
+
+import (
+	"encoding/json"
+	"fmt"
+
+	"gitea.stevedudenhoeffer.com/steve/answer/pkg/toolbox"
+)
+
+var AskTool = toolbox.FromFunction(
+	func(ctx *Context, args struct {
+		Question string `description:"the question to answer"`
+	}) (toolbox.FuncResponse, error) {
+		var q Question
+
+		q.Question = args.Question
+		ctx = ctx.WithQuestion(q)
+
+		answers, err := ask(ctx, q)
+
+		if err != nil {
+			return toolbox.FuncResponse{}, err
+		}
+
+		tb := toolbox.ToolBox{}
+		tb.Register(SummarizeAnswers)
+
+		b, err := json.Marshal(answers.Answers)
+		if err != nil {
+			return toolbox.FuncResponse{}, fmt.Errorf("failed to marshal answers: %w", err)
+		}
+
+		q = Question{Question: string(b)}
+		ctx = ctx.WithQuestion(q)
+		answers, err = tb.Run(ctx, q)
+
+		if err != nil {
+			return toolbox.FuncResponse{}, fmt.Errorf("failed to summarize answers: %w", err)
+		}
+
+		if len(answers.Answers) == 0 {
+			return toolbox.FuncResponse{}, fmt.Errorf("no response from model")
+		}
+
+		return toolbox.FuncResponse{Result: answers.Answers[0].Answer}, nil
+	}).
+	WithName("ask").
+	WithDescription("Ask the agent a question, this is useful for splitting a question into multiple parts")

pkg/agent/context.go

@@ -0,0 +1,112 @@
+package agent
+
+import (
+	"context"
+	"time"
+
+	"gitea.stevedudenhoeffer.com/steve/answer/pkg/toolbox"
+
+	"github.com/tmc/langchaingo/llms"
+)
+
+type Context struct {
+	context.Context
+
+	Messages []llms.MessageContent
+	Agent    *Agent
+}
+
+func From(ctx context.Context, a *Agent) *Context {
+	if ctx == nil {
+		ctx = context.Background()
+	}
+
+	return &Context{
+		Context: ctx,
+		Agent:   a,
+	}
+}
+
+func (c *Context) WithMessage(m llms.MessageContent) *Context {
+	c.Messages = append(c.Messages, m)
+	return c
+}
+
+func (c *Context) WithMessages(m ...llms.MessageContent) *Context {
+	c.Messages = append(c.Messages, m...)
+	return c
+}
+
+func (c *Context) WithToolResults(r ...toolbox.ToolResult) *Context {
+	msg := llms.MessageContent{
+		Role: llms.ChatMessageTypeTool,
+	}
+
+	for _, v := range r {
+		res := v.Result
+		if v.Error != nil {
+			res = "error executing: " + v.Error.Error()
+		}
+		msg.Parts = append(msg.Parts, llms.ToolCallResponse{
+			ToolCallID: v.ID,
+			Name:       v.Name,
+			Content:    res,
+		})
+	}
+
+	return c.WithMessage(msg)
+}
+
+func (c *Context) WithAgent(a *Agent) *Context {
+	return &Context{
+		Context: c.Context,
+		Agent:   a,
+	}
+}
+
+func (c *Context) WithCancel() (*Context, func()) {
+	ctx, cancel := context.WithCancel(c.Context)
+	return &Context{
+		Context: ctx,
+		Agent:   c.Agent,
+	}, cancel
+}
+
+func (c *Context) WithDeadline(deadline time.Time) (*Context, func()) {
+	ctx, cancel := context.WithDeadline(c.Context, deadline)
+	return &Context{
+		Context: ctx,
+		Agent:   c.Agent,
+	}, cancel
+}
+
+func (c *Context) WithTimeout(timeout time.Duration) (*Context, func()) {
+	ctx, cancel := context.WithTimeout(c.Context, timeout)
+	return &Context{
+		Context: ctx,
+		Agent:   c.Agent,
+	}, cancel
+}
+
+func (c *Context) WithValue(key, value interface{}) *Context {
+	return &Context{
+		Context: context.WithValue(c.Context, key, value),
+		Agent:   c.Agent,
+	}
+}
+
+func (c *Context) Done() <-chan struct{} {
+	return c.Context.Done()
+}
+
+func (c *Context) Err() error {
+	return c.Context.Err()
+}
+
+func (c *Context) Value(key interface{}) interface{} {
+	return c.Context.Value(key)
+}
+
+func (c *Context) Deadline() (time.Time, bool) {
+	return c.Context.Deadline()
+}

pkg/agent/counter.go

@@ -0,0 +1,25 @@
+package agent
+
+import "sync/atomic"
+
+type Counter struct {
+	atomic.Int32
+}
+
+// Take will attempt to take an item from the counter. If the counter is zero, it will return false.
+func (c *Counter) Take() bool {
+	for {
+		current := c.Load()
+		if current <= 0 {
+			return false
+		}
+		if c.CompareAndSwap(current, current-1) {
+			return true
+		}
+	}
+}
+
+// Return will return an item to the counter.
+func (c *Counter) Return() {
+	c.Add(1)
+}

pkg/agent/search.go

@@ -0,0 +1,13 @@
+package agent
+
+import "gitea.stevedudenhoeffer.com/steve/answer/pkg/toolbox"
+
+var SearchTool = toolbox.FromFunction(
+	func(ctx *Context, args struct {
+		SearchFor string `description:"what to search for"`
+		Question  string `description:"the question to answer with the search results"`
+	}) (toolbox.FuncResponse, error) {
+		return toolbox.FuncResponse{}, nil
+	}).
+	WithName("search").
+	WithDescription("Search the web and read a few articles to find the answer to the question")

pkg/agent/test/main.go

@@ -0,0 +1,34 @@
+package main
+
+import (
+	"reflect"
+
+	"github.com/tmc/langchaingo/llms"
+)
+
+func testFunction(args struct{ a, b int }) {
+	// This is a test function
+}
+
+func main() {
+	v := reflect.New(reflect.TypeOf(testFunction))
+
+	t := reflect.TypeOf(testFunction)
+
+	for i := 0; i < t.NumIn(); i++ {
+		param := t.In(i)
+
+		llms.MessageContent{
+			Role: llms.ChatMessageTypeTool,
+			Parts: []llms.ContentPart{
+				llms.ToolCallResponse{
+					Name: "testFunction",
+				},
+			},
+		}
+		if param.Type().Kind() == reflect.Struct {
+
+		}
+		println(param.Name(), param.Kind().String())
+	}
+}

pkg/agent/wolfram.go

@@ -0,0 +1,30 @@
+package agent
+
+import (
+	"fmt"
+	"os"
+
+	"gitea.stevedudenhoeffer.com/steve/answer/pkg/toolbox"
+
+	"github.com/Edw590/go-wolfram"
+)
+
+var WolframTool = toolbox.FromFunction(
+	func(ctx *Context, args struct {
+		Query string `description:"what to ask wolfram alpha"`
+	}) (toolbox.FuncResponse, error) {
+		var cl = wolfram.Client{
+			AppID: os.Getenv("WOLFRAM_APPID"),
+		}
+
+		unit := wolfram.Imperial
+
+		a, err := cl.GetShortAnswerQuery(args.Query, unit, 10)
+		if err != nil {
+			return toolbox.FuncResponse{}, fmt.Errorf("failed to get short answer from wolfram: %w", err)
+		}
+
+		return toolbox.FuncResponse{Result: a, Source: "Wolfram|Alpha"}, nil
+	}).
+	WithName("wolfram").
+	WithDescription("ask wolfram alpha for the answer")

pkg/answer/answer.go

@@ -2,12 +2,17 @@ package answer
 
 import (
 	"context"
+	"encoding/json"
 	"errors"
 	"fmt"
 	"log/slog"
 	"net/url"
 	"strings"
 
+	"github.com/tmc/langchaingo/agents"
+
+	"github.com/tmc/langchaingo/llms"
+
 	"gitea.stevedudenhoeffer.com/steve/answer/pkg/cache"
 	"gitea.stevedudenhoeffer.com/steve/answer/pkg/extractor"
 	"gitea.stevedudenhoeffer.com/steve/answer/pkg/search"
@@ -22,7 +27,7 @@ type Question struct {
 	// Question is the question to answer
 	Question string
 
-	Model gollm.ChatCompletion
+	Model llms.Model
 
 	Search search.Search
 
@@ -146,44 +151,82 @@ func extractArticle(ctx context.Context, c cache.Cache, u *url.URL) (res article
 }
 
 func doesTextAnswerQuestion(ctx context.Context, q Question, text string) (string, error) {
-	fnAnswer := gollm.NewFunction(
-		"answer",
-		"The answer from the given text that answers the question.",
-		func(ctx context.Context, args struct {
-			Answer string `description:"the answer to the question, the answer should come from the text"`
-		}) (string, error) {
-			return args.Answer, nil
-		})
-
-	fnNoAnswer := gollm.NewFunction(
-		"no_answer",
-		"Indicate that the text does not answer the question.",
-		func(ctx context.Context, args struct {
-			Ignored string `description:"ignored, just here to make sure the function is called.  Fill with anything."`
-		}) (string, error) {
-			return "", nil
-		})
-
-	req := gollm.Request{
-		Messages: []gollm.Message{
-			{
-				Role: gollm.RoleSystem,
-				Text: "Evaluate the given text to see if it answers the question from the user.  The text is as follows:",
-			},
-			{
-				Role: gollm.RoleSystem,
-				Text: text,
-			},
-			{
-				Role: gollm.RoleUser,
-				Text: q.Question,
+	var availableTools = []llms.Tool{
+		{
+			Type: "function",
+			Function: &llms.FunctionDefinition{
+				Name:        "answer",
+				Description: "The answer from the given text that answers the question.",
+				Parameters: map[string]any{
+					"type": "object",
+					"properties": map[string]any{
+						"answer": map[string]any{
+							"type":        "string",
+							"description": "the answer to the question, the answer should come from the text",
+						},
+					},
+				},
+			},
+		},
+		{
+			Type: "function",
+			Function: &llms.FunctionDefinition{
+				Name:        "no_answer",
+				Description: "Indicate that the text does not answer the question.",
+				Parameters: map[string]any{
+					"type": "object",
+					"properties": map[string]any{
+						"ignored": map[string]any{
+							"type":        "string",
+							"description": "ignored, just here to make sure the function is called.  Fill with anything.",
+						},
+					},
+				},
 			},
 		},
-		Toolbox: gollm.NewToolBox(fnAnswer, fnNoAnswer),
 	}
 
-	res, err := q.Model.ChatComplete(ctx, req)
+	answer := func(ctx context.Context, args string) (string, error) {
+		type answer struct {
+			Answer string `json:"answer"`
+		}
 
+		var a answer
+
+		err := json.Unmarshal([]byte(args), &a)
+		if err != nil {
+			return "", err
+		}
+
+		return a.Answer, nil
+	}
+
+	noAnswer := func(ctx context.Context, ignored string) (string, error) {
+		return "", nil
+	}
+
+	var req = []llms.MessageContent{
+		{
+			Role: llms.ChatMessageTypeSystem,
+			Parts: []llms.ContentPart{
+				llms.TextPart("Evaluate the given text to see if it answers the question from the user.  The text is as follows:"),
+			},
+		},
+		{
+			Role: llms.ChatMessageTypeSystem,
+			Parts: []llms.ContentPart{
+				llms.TextPart(text),
+			},
+		},
+		{
+			Role: llms.ChatMessageTypeHuman,
+			Parts: []llms.ContentPart{
+				llms.TextPart(q.Question),
+			},
+		},
+	}
+
+	res, err := q.Model.GenerateContent(ctx, req, llms.WithTools(availableTools))
 	if err != nil {
 		return "", err
 	}
@@ -192,11 +235,24 @@ func doesTextAnswerQuestion(ctx context.Context, q Question, text string) (strin
 		return "", nil
 	}
 
-	if len(res.Choices[0].Calls) == 0 {
+	if len(res.Choices[0].ToolCalls) == 0 {
 		return "", nil
 	}
 
-	return req.Toolbox.Execute(ctx, res.Choices[0].Calls[0])
+	for _, call := range res.Choices[0].ToolCalls {
+		switch call.FunctionCall.Name {
+		case "answer":
+			return answer(ctx, call.FunctionCall.Arguments)
+
+		case "no_answer":
+			return noAnswer(ctx, call.FunctionCall.Arguments)
+
+		default:
+			return "", fmt.Errorf("unknown function %s", call.FunctionCall.Name)
+		}
+	}
+
+	return "", nil
 }
 
 func functionSearch(ctx context.Context, q Question, searchTerm string) (string, error) {
@@ -292,150 +348,30 @@ func functionThink(ctx context.Context, q Question) (string, error) {
 	return req.Toolbox.Execute(ctx, res.Choices[0].Calls[0])
 }
 
-func (o Options) Answer(ctx context.Context, q Question) (Answers, error) {
-	fnSearch := gollm.NewFunction(
-		"search",
-		"Search the web for an answer to a question.  You can call this function up to "+fmt.Sprint(o.MaxSearches)+" times.",
-		func(ctx context.Context, args struct {
-			SearchQuery string `description:"what to search the web for for this question"`
-			Question    string `description:"what question(s) you are trying to answer with this search"`
-		}) (string, error) {
-			q2 := q
-			q2.Question = args.Question
-
-			return functionSearch(ctx, q2, args.SearchQuery)
-		})
-
-	fnThink := gollm.NewFunction(
-		"think",
-		"Think about a question.  This is useful for breaking down complex questions into smaller parts that are easier to answer.",
-		func(ctx context.Context, args struct {
-			Question string `json:"question" description:"the question to think about"`
-		}) (string, error) {
-			q2 := q
-			q2.Question = args.Question
-
-			return functionThink(ctx, q2)
-		})
-
-	fnAnswer := gollm.NewFunction(
-		"answer",
-		"You definitively answer a question, if you call this it means you know the answer and do not need to search for it or use any other function to find it",
-		func(ctx context.Context, args struct {
-			Answer string `json:"answer" description:"the answer to the question"`
-		}) (string, error) {
-			return args.Answer, nil
-		})
-
-	var funcs = []*gollm.Function{fnAnswer}
-
-	if o.MaxSearches > 0 {
-		funcs = append(funcs, fnSearch)
+func appendResponse(req []llms.MessageContent, response *llms.ContentResponse) ([]llms.MessageContent, error) {
+	if response == nil {
+		return req, nil
 	}
 
-	if o.MaxThinks > 0 {
-		funcs = append(funcs, fnThink)
+	if len(response.Choices) == 0 {
+		return req, nil
 	}
 
-	var temp float32 = 0.8
+	choice := response.Choices[0]
 
-	req := gollm.Request{
-		Messages: []gollm.Message{
-			{
-				Role: gollm.RoleSystem,
-				Text: "You are being asked to answer a question.  You must respond with a function.  You can answer it if you know the answer, or if some functions exist you can use those to help you find the answer.",
-			},
-			{
-				Role: gollm.RoleUser,
-				Text: q.Question,
-			},
-		},
-		Toolbox:     gollm.NewToolBox(funcs...),
-		Temperature: &temp,
+	assistantResponse := llms.TextParts(llms.ChatMessageTypeAI, choice.Content)
+
+	for _, tc := range choice.ToolCalls {
+		assistantResponse.Parts = append(assistantResponse.Parts, tc)
 	}
 
-	res, err := q.Model.ChatComplete(ctx, req)
-
-	if err != nil {
-		return nil, err
-	}
-
-	if len(res.Choices) == 0 {
-		return nil, nil
-	}
-
-	if len(res.Choices) > o.MaxSearches {
-		res.Choices = res.Choices[:o.MaxSearches]
-	}
-
-	var answers []Result
-	for _, choice := range res.Choices {
-		fnChoice := func(choice gollm.ResponseChoice) []Result {
-			var calls []Result
-			var callsOutput = make(chan Result, len(choice.Calls))
-			fnCall := func(call gollm.ToolCall) Result {
-				str, err := req.Toolbox.Execute(ctx, call)
-
-				if err != nil {
-					return Result{
-						Error: err,
-					}
-				}
-
-				return Result{
-					Result: str,
-				}
-			}
-
-			for _, call := range choice.Calls {
-				go func(call gollm.ToolCall) {
-					if o.OnNewFunction != nil {
-						err := o.OnNewFunction(ctx, call.FunctionCall.Name, q.Question, call.FunctionCall.Arguments)
-						if err != nil {
-							callsOutput <- Result{
-								Error: err,
-							}
-							return
-						}
-					}
-					callsOutput <- fnCall(call)
-				}(call)
-			}
-
-			for i := 0; i < len(choice.Calls); i++ {
-				result := <-callsOutput
-				calls = append(calls, result)
-			}
-
-			close(callsOutput)
-
-			slog.Info("calls", "calls", calls)
-			return calls
-		}
-
-		answers = append(answers, fnChoice(choice)...)
-	}
-
-	var errs []error
-	var results []string
-
-	for _, answer := range answers {
-		if answer.Error != nil {
-			errs = append(errs, answer.Error)
-			continue
-		}
-
-		results = append(results, answer.Result)
-	}
-
-	if len(errs) > 0 {
-		return nil, errors.Join(errs...)
-	}
-
-	return results, nil
-
+	return req, nil
 }
 
-func Answer(ctx context.Context, q Question) (Answers, error) {
+func (o Options) Answer(ctx context.Context, q Question) (string, error) {
+	a := agents.NewConversationalAgent()
+}
+
+func Answer(ctx context.Context, q Question) (string, error) {
 	return DefaultOptions.Answer(ctx, q)
 }

pkg/toolbox/context.go

@@ -0,0 +1,17 @@
+package toolbox
+
+import (
+	"context"
+	"time"
+
+	"github.com/tmc/langchaingo/llms"
+)
+
+type Context interface {
+	context.Context
+
+	WithCancel() (Context, func())
+	WithTimeout(time.Duration) (Context, func())
+	WithMessages([]llms.MessageContent) Context
+	GetMessages() []llms.MessageContent
+}

pkg/toolbox/function.go

@@ -0,0 +1,299 @@
+package toolbox
+
+import (
+	"context"
+	"encoding/json"
+	"errors"
+	"fmt"
+	"log/slog"
+	"reflect"
+	"strings"
+	"sync"
+)
+
+type FuncResponse struct {
+	Result string
+	Source string
+}
+
+type funcCache struct {
+	sync.RWMutex
+	m map[reflect.Type]function
+}
+
+func (c *funcCache) get(value reflect.Value) (function, bool) {
+	c.RLock()
+	defer c.RUnlock()
+
+	fn, ok := c.m[value.Type()]
+	if ok {
+		slog.Info("cache hit for function", "function", value.Type().String())
+	}
+	return fn, ok
+}
+
+func (c *funcCache) set(value reflect.Value, fn function) {
+	c.Lock()
+	defer c.Unlock()
+
+	c.m[value.Type()] = fn
+}
+
+var cache = funcCache{m: map[reflect.Type]function{}}
+
+type arg struct {
+	Name        string
+	Type        reflect.Type
+	Index       int
+	Values      []string
+	Optional    bool
+	Array       bool
+	Description string
+}
+
+func (a arg) Schema() map[string]any {
+	var res = map[string]any{}
+
+	if a.Array {
+		res["type"] = "array"
+		res["items"] = map[string]any{"type": a.Type.Kind().String()}
+	} else {
+		res["type"] = a.Type.Name()
+	}
+
+	if !a.Optional {
+		res["required"] = true
+	}
+
+	if len(a.Values) > 0 {
+		res["enum"] = a.Values
+	}
+
+	if a.Description != "" {
+		res["description"] = a.Description
+	}
+
+	return res
+}
+
+type function struct {
+	fn      reflect.Value
+	argType reflect.Type
+	args    map[string]arg
+}
+
+var ErrInvalidFunction = errors.New("invalid function")
+
+// analyzeFuncFromReflect extracts metadata from a reflect.Value representing a function and returns a structured result.
+// It maps the function's parameter names to their corresponding reflect.Type and encapsulates them in a function struct.
+// Returns a function struct with extracted information and an error if the operation fails.
+// The first parameter to the function must be a *Context.
+// The second parameter to the function must be a struct, all the fields of which will be passed as arguments to the
+// function to be analyzed.
+// Struct tags supported are:
+//   - `name:"<name>"` to specify the name of the parameter (default is the field name)
+//   - `description:"<description>"` to specify a description of the parameter (default is "")
+//   - `values:"<value1>,<value2>,..."` to specify a list of possible values for the parameter (default is "") only for
+//     string, int, and float types
+//
+// Allowed types on the struct are:
+//   - string, *string, []string
+//   - int, *int, []int
+//   - float64, *float64, []float64
+//   - bool, *bool, []bool
+//
+// Pointer types imply that the parameter is optional.
+// The function must have at most 2 parameters.
+// The function must return a string and an error.
+// The function must be of the form `func(*agent.Context, T) (FuncResponse, error)`.
+func analyzeFuncFromReflect(fn reflect.Value) (function, error) {
+	if f, ok := cache.get(fn); ok {
+		return f, nil
+	}
+
+	var res function
+	t := fn.Type()
+	args := map[string]arg{}
+
+	for i := 0; i < t.NumIn(); i++ {
+		if i == 0 {
+			if t.In(i).String() != "*agent.Context" {
+				return res, fmt.Errorf("%w: first parameter must be *agent.Context", ErrInvalidFunction)
+			}
+			continue
+		} else if i == 1 {
+			if t.In(i).Kind() != reflect.Struct {
+				return res, fmt.Errorf("%w: second parameter must be a struct", ErrInvalidFunction)
+			}
+			res.argType = t.In(i)
+
+			for j := 0; j < res.argType.NumField(); j++ {
+				field := res.argType.Field(j)
+
+				a := arg{
+					Name:        field.Name,
+					Type:        field.Type,
+					Index:       j,
+					Description: "",
+				}
+
+				ft := field.Type
+				// if it's a pointer, it's optional
+				if ft.Kind() == reflect.Ptr {
+					a.Optional = true
+					ft = ft.Elem()
+				} else if ft.Kind() == reflect.Slice {
+					a.Array = true
+					ft = ft.Elem()
+				}
+
+				if ft.Kind() != reflect.String && ft.Kind() != reflect.Int && ft.Kind() != reflect.Float64 && ft.Kind() != reflect.Bool {
+					return res, fmt.Errorf("%w: unsupported type %s", ErrInvalidFunction, ft.Kind().String())
+				}
+
+				a.Type = ft
+
+				if name, ok := field.Tag.Lookup("name"); ok {
+					a.Name = name
+					a.Name = strings.TrimSpace(a.Name)
+
+					if a.Name == "" {
+						return res, fmt.Errorf("%w: name tag cannot be empty", ErrInvalidFunction)
+					}
+				}
+				if description, ok := field.Tag.Lookup("description"); ok {
+					a.Description = description
+				}
+				if values, ok := field.Tag.Lookup("values"); ok {
+					a.Values = strings.Split(values, ",")
+					for i, v := range a.Values {
+						a.Values[i] = strings.TrimSpace(v)
+					}
+
+					if ft.Kind() != reflect.String && ft.Kind() != reflect.Int && ft.Kind() != reflect.Float64 {
+						return res, fmt.Errorf("%w: values tag only supported for string, int, and float types", ErrInvalidFunction)
+					}
+				}
+
+				args[field.Name] = a
+			}
+		} else {
+			return res, fmt.Errorf("%w: function must have at most 2 parameters", ErrInvalidFunction)
+		}
+	}
+
+	// finally ensure that the function returns a FuncResponse and an error
+	if t.NumOut() != 2 || t.Out(0).String() != "agent.FuncResponse" || t.Out(1).String() != "error" {
+		return res, fmt.Errorf("%w: function must return a FuncResponse and an error", ErrInvalidFunction)
+	}
+
+	cache.set(fn, res)
+	return res, nil
+}
+
+func analyzeFunction[T any, AgentContext any](fn func(AgentContext, T) (FuncResponse, error)) (function, error) {
+	return analyzeFuncFromReflect(reflect.ValueOf(fn))
+}
+
+// Execute will execute the given function with the given context and arguments.
+// Returns the result of the execution and an error if the operation fails.
+// The arguments must be a JSON-encoded string that represents the struct to be passed to the function.
+func (f function) Execute(ctx context.Context, args string) (FuncResponse, error) {
+	var m = map[string]any{}
+
+	err := json.Unmarshal([]byte(args), &m)
+	if err != nil {
+		return FuncResponse{}, fmt.Errorf("failed to unmarshal arguments: %w", err)
+	}
+
+	var obj = reflect.New(f.argType).Elem()
+
+	// TODO: ensure that "required" fields are present in the arguments
+	for name, a := range f.args {
+		if v, ok := m[name]; ok {
+			if a.Array {
+				if v == nil {
+					continue
+				}
+
+				switch a.Type.Kind() {
+				case reflect.String:
+					s := v.([]string)
+					slice := reflect.MakeSlice(reflect.SliceOf(reflect.TypeOf("")), len(s), len(s))
+					for i, str := range s {
+						slice.Index(i).SetString(str)
+					}
+					obj.Field(a.Index).Set(slice)
+
+				case reflect.Int:
+					i := v.([]int)
+					slice := reflect.MakeSlice(reflect.SliceOf(reflect.TypeOf(0)), len(i), len(i))
+					for i, in := range i {
+						slice.Index(i).SetInt(int64(in))
+					}
+					obj.Field(a.Index).Set(slice)
+
+				case reflect.Float64:
+					f := v.([]float64)
+					slice := reflect.MakeSlice(reflect.SliceOf(reflect.TypeOf(0.0)), len(f), len(f))
+					for i, fl := range f {
+						slice.Index(i).SetFloat(fl)
+					}
+					obj.Field(a.Index).Set(slice)
+
+				case reflect.Bool:
+					b := v.([]bool)
+					slice := reflect.MakeSlice(reflect.SliceOf(reflect.TypeOf(false)), len(b), len(b))
+					for i, b := range b {
+						slice.Index(i).SetBool(b)
+					}
+					obj.Field(a.Index).Set(slice)
+
+				default:
+					return FuncResponse{}, fmt.Errorf("unsupported type %s for field %s", a.Type.Kind().String(), name)
+				}
+
+			} else if a.Optional {
+				if v == nil {
+					continue
+				}
+				switch a.Type.Kind() {
+				case reflect.String:
+					str := v.(string)
+					obj.Field(a.Index).Set(reflect.ValueOf(&str))
+				case reflect.Int:
+					i := v.(int)
+					obj.Field(a.Index).Set(reflect.ValueOf(&i))
+				case reflect.Float64:
+					f := v.(float64)
+					obj.Field(a.Index).Set(reflect.ValueOf(&f))
+				case reflect.Bool:
+					b := v.(bool)
+					obj.Field(a.Index).Set(reflect.ValueOf(&b))
+				default:
+					return FuncResponse{}, fmt.Errorf("unsupported type %s for field %s", a.Type.Kind().String(), name)
+				}
+			} else {
+				switch a.Type.Kind() {
+				case reflect.String:
+					obj.Field(a.Index).SetString(v.(string))
+				case reflect.Int:
+					obj.Field(a.Index).SetInt(int64(v.(int)))
+				case reflect.Float64:
+					obj.Field(a.Index).SetFloat(v.(float64))
+				case reflect.Bool:
+					obj.Field(a.Index).SetBool(v.(bool))
+				default:
+					return FuncResponse{}, fmt.Errorf("unsupported type %s for field %s", a.Type.Kind().String(), name)
+				}
+			}
+		}
+	}
+
+	res := f.fn.Call([]reflect.Value{reflect.ValueOf(ctx), obj})
+	if res[1].IsNil() {
+		return res[0].Interface().(FuncResponse), nil
+	}
+
+	return FuncResponse{}, res[1].Interface().(error)
+}

pkg/toolbox/tool.go

@@ -0,0 +1,75 @@
+package toolbox
+
+import (
+	"context"
+	"reflect"
+
+	"github.com/tmc/langchaingo/llms"
+)
+
+type Tool struct {
+	Name        string
+	Description string
+	Function    function
+}
+
+func (t *Tool) Tool() llms.Tool {
+	return llms.Tool{
+		Type:     "function",
+		Function: t.Definition(),
+	}
+}
+
+func (t *Tool) Definition() *llms.FunctionDefinition {
+	var properties = map[string]any{}
+	for name, arg := range t.Function.args {
+		properties[name] = arg.Schema()
+	}
+
+	var res = llms.FunctionDefinition{
+		Name:        t.Name,
+		Description: t.Description,
+		Parameters:  map[string]any{"type": "object", "properties": properties},
+	}
+	return &res
+}
+
+// Execute executes the tool with the given context and arguments.
+// Returns the result of the execution and an error if the operation fails.
+// The arguments must be a JSON-encoded string that represents the struct to be passed to the function.
+func (t *Tool) Execute(ctx context.Context, args string) (FuncResponse, error) {
+	return t.Function.Execute(ctx, args)
+}
+
+func FromFunction[T any, AgentContext any](fn func(AgentContext, T) (FuncResponse, error)) *Tool {
+	f, err := analyzeFunction(fn)
+	if err != nil {
+		panic(err)
+	}
+
+	return &Tool{
+		Name:        reflect.TypeOf(fn).Name(),
+		Description: "This is a tool",
+		Function:    f,
+	}
+}
+
+func (t *Tool) WithName(name string) *Tool {
+	t.Name = name
+	return t
+}
+
+func (t *Tool) WithDescription(description string) *Tool {
+	t.Description = description
+	return t
+}
+
+func (t *Tool) WithFunction(fn any) *Tool {
+	f, err := analyzeFuncFromReflect(reflect.ValueOf(fn))
+	if err != nil {
+		panic(err)
+	}
+
+	t.Function = f
+	return t
+}

pkg/toolbox/toolbox.go

@@ -0,0 +1,208 @@
+package toolbox
+
+import (
+	"context"
+	"errors"
+	"fmt"
+
+	"golang.org/x/sync/errgroup"
+
+	"github.com/tmc/langchaingo/llms"
+)
+
+type ToolBox map[string]*Tool
+
+var (
+	ErrToolNotFound = errors.New("tool not found")
+)
+
+type ToolResults []ToolResult
+
+func (r ToolResults) ToMessageContent() llms.MessageContent {
+	var res = llms.MessageContent{
+		Role: llms.ChatMessageTypeTool,
+	}
+
+	for _, v := range r {
+		res.Parts = append(res.Parts, v.ToToolCallResponse())
+	}
+
+	return res
+}
+
+type ToolResult struct {
+	ID     string
+	Name   string
+	Result string
+	Source string
+	Error  error
+}
+
+func (r ToolResult) ToToolCallResponse() llms.ToolCallResponse {
+	if r.Error != nil {
+		return llms.ToolCallResponse{
+			ToolCallID: r.ID,
+			Name:       r.Name,
+			Content:    "error executing: " + r.Error.Error(),
+		}
+	}
+
+	return llms.ToolCallResponse{
+		ToolCallID: r.ID,
+		Name:       r.Name,
+		Content:    r.Result,
+	}
+}
+func (tb ToolBox) Execute(ctx context.Context, call llms.ToolCall) (ToolResult, error) {
+	if call.Type != "function" {
+		return ToolResult{}, fmt.Errorf("unsupported tool type: %s", call.Type)
+	}
+
+	if call.FunctionCall == nil {
+		return ToolResult{}, errors.New("function call is nil")
+	}
+
+	tool, ok := tb[call.FunctionCall.Name]
+	if !ok {
+		return ToolResult{}, fmt.Errorf("%w: %s", ErrToolNotFound, call.FunctionCall.Name)
+	}
+
+	res, err := tool.Execute(ctx, call.FunctionCall.Arguments)
+	if err != nil {
+		return ToolResult{
+			ID:     call.ID,
+			Name:   tool.Name,
+			Error:  err,
+			Source: res.Source,
+		}, nil
+	}
+
+	return ToolResult{
+		ID:     call.ID,
+		Name:   tool.Name,
+		Result: res.Result,
+		Source: res.Source,
+		Error:  err,
+	}, nil
+}
+
+func (tb ToolBox) ExecuteAll(ctx Context, calls []llms.ToolCall) (ToolResults, error) {
+	var results []ToolResult
+
+	for _, call := range calls {
+		res, err := tb.Execute(ctx, call)
+		if err != nil {
+			return results, err
+		}
+
+		results = append(results, res)
+	}
+
+	return results, nil
+}
+
+func (tb ToolBox) ExecuteConcurrent(ctx Context, calls []llms.ToolCall) (ToolResults, error) {
+	var results []ToolResult
+	var ch = make(chan ToolResult, len(calls))
+	var eg = errgroup.Group{}
+
+	for _, call := range calls {
+		eg.Go(func() error {
+			c, cancel := ctx.WithCancel()
+			defer cancel()
+
+			res, err := tb.Execute(c, call)
+			if err != nil {
+				ch <- res
+				return nil
+			}
+
+			return err
+		})
+	}
+
+	err := eg.Wait()
+	if err != nil {
+		return results, err
+	}
+
+	for range calls {
+		results = append(results, <-ch)
+	}
+
+	return results, nil
+}
+
+type Answers struct {
+	Response llms.MessageContent
+	Answers  []Answer
+}
+
+type Answer struct {
+	Answer           string
+	Source           string
+	ToolCallResponse llms.ToolCallResponse `json:"-"`
+}
+
+func (tb ToolBox) Run(ctx Context, model llms.Model, question string) (Answers, error) {
+	ctx = ctx.WithMessages([]llms.MessageContent{{
+		Role:  llms.ChatMessageTypeGeneric,
+		Parts: []llms.ContentPart{llms.TextPart(question)},
+	}})
+
+	res, err := model.GenerateContent(ctx, ctx.GetMessages())
+	if err != nil {
+		return Answers{}, err
+	}
+
+	if res == nil {
+		return Answers{}, errors.New("no response from model")
+	}
+
+	if len(res.Choices) == 0 {
+		return Answers{}, errors.New("no response from model")
+	}
+
+	choice := res.Choices[0]
+
+	response := llms.MessageContent{
+		Role:  llms.ChatMessageTypeAI,
+		Parts: []llms.ContentPart{llms.TextPart(choice.Content)},
+	}
+
+	for _, c := range choice.ToolCalls {
+		response.Parts = append(response.Parts, c)
+	}
+
+	results, err := tb.ExecuteConcurrent(ctx, choice.ToolCalls)
+	if err != nil {
+		return Answers{}, err
+	}
+
+	var answers []Answer
+
+	for _, r := range results {
+		if r.Error != nil {
+			answers = append(answers, Answer{
+				Answer:           "error executing: " + r.Error.Error(),
+				Source:           r.Source,
+				ToolCallResponse: r.ToToolCallResponse(),
+			})
+		} else {
+			answers = append(answers, Answer{
+				Answer:           r.Result,
+				Source:           r.Source,
+				ToolCallResponse: r.ToToolCallResponse(),
+			})
+		}
+	}
+
+	return Answers{
+		Response: response,
+		Answers:  answers,
+	}, nil
+}
+
+func (tb ToolBox) Register(tool *Tool) {
+	tb[tool.Name] = tool
+}