Consolidated a bunch of reused code to agents

This commit is contained in:
2025-03-26 00:21:19 -04:00
parent 5407c1a7cc
commit 5d2c350acf
33 changed files with 2866 additions and 803 deletions

View File

@@ -7,14 +7,8 @@ import (
"os"
"strings"
knowledge2 "gitea.stevedudenhoeffer.com/steve/answer/pkg/agents"
"gitea.stevedudenhoeffer.com/steve/answer/pkg/agents"
gollm "gitea.stevedudenhoeffer.com/steve/go-llm"
"gitea.stevedudenhoeffer.com/steve/answer/pkg/agents/shared"
"gitea.stevedudenhoeffer.com/steve/answer/pkg/agents/searcher"
"github.com/joho/godotenv"
"github.com/urfave/cli"
)
@@ -102,18 +96,9 @@ func main() {
}
question := strings.Join(c.Args(), " ")
search := searcher.Agent{
Model: m,
agent := agents.NewAgent(m, nil).WithMaxCalls(200)
OnDone: func(ctx context.Context, knowledge shared.Knowledge) error {
slog.Info("done", "knowledge", knowledge)
return nil
},
MaxReads: 20,
}
processor := knowledge2.KnowledgeProcessor{Model: m}
knowledge, err := search.Search(ctx, question, question)
knowledge, err := agent.SearchAndRead(ctx, question, []string{question}, true, 10)
if err != nil {
panic(err)
@@ -121,9 +106,12 @@ func main() {
slog.Info("knowledge", "knowledge", knowledge)
sum, err := processor.Process(ctx, knowledge)
res, err := agent.AnswerQuestionWithKnowledge(ctx, knowledge)
if err != nil {
panic(err)
}
fmt.Println(sum)
fmt.Println(res)
return nil
},
}

151
cmd/console/cmd.go Normal file
View File

@@ -0,0 +1,151 @@
package main
import (
"context"
"fmt"
"log/slog"
"os"
"strings"
"time"
"gitea.stevedudenhoeffer.com/steve/answer/pkg/agents"
"gitea.stevedudenhoeffer.com/steve/answer/pkg/agents/console"
gollm "gitea.stevedudenhoeffer.com/steve/go-llm"
"github.com/joho/godotenv"
"github.com/urfave/cli"
)
func getKey(key string, env string) string {
if key != "" {
return key
}
return os.Getenv(env)
}
func main() {
// Usage: go run cmd/answer.go question...
// - flags:
// --model=[model string such as openai/gpt-4o, anthropic/claude..., google/gemini-1.5. Default: openai/gpt-4o]
// --search-provider=[search provider string such as google, duckduckgo. Default: google]
// --cache-provider=[cache provider string such as memory, redis, file. Default: memory]
var app = cli.App{
Name: "console",
Usage: "has an llm control a console for you",
Version: "0.1",
Description: "",
Flags: []cli.Flag{
&cli.StringFlag{
Name: "env-file",
Value: ".env",
Usage: "file to read environment variables from",
},
&cli.StringFlag{
Name: "model",
Value: "openai/gpt-4o-mini",
Usage: "model to use for answering the question, syntax: provider/model such as openai/gpt-4o",
},
&cli.StringFlag{
Name: "llm-key",
Value: "",
Usage: "key for the llm model (if empty, will use env var of PROVIDER_API_KEY, such as OPENAI_API_KEY)",
},
},
Action: func(ctx *cli.Context) error {
// if there is no question to answer, print usage
if ctx.NArg() == 0 {
return cli.ShowAppHelp(ctx)
}
if ctx.String("env-file") != "" {
_ = godotenv.Load(ctx.String("env-file"))
}
var llm gollm.LLM
model := ctx.String("model")
a := strings.Split(model, "/")
if len(a) != 2 {
panic("invalid model, expected: provider/model (such as openai/gpt-4o)")
}
switch a[0] {
case "openai":
llm = gollm.OpenAI(getKey(ctx.String("llm-key"), "OPENAI_API_KEY"))
case "anthropic":
llm = gollm.Anthropic(getKey(ctx.String("llm-key"), "ANTHROPI_API_KEY"))
case "google":
llm = gollm.Google(getKey(ctx.String("llm-key"), "GOOGLE_API_KEY"))
default:
panic("unknown model provider")
}
m, err := llm.ModelVersion(a[1])
if err != nil {
panic(err)
}
question := strings.Join(ctx.Args(), " ")
c := console.Agent{
Model: m,
OnDone: func(ctx context.Context, knowledge agents.Knowledge) error { return nil },
OnCommandStart: func(ctx context.Context, command string) error {
slog.Info("command", "command", command)
return nil
},
OnCommandDone: func(ctx context.Context, command string, output string, err error) error {
slog.Info("command done", "command", command, "output", output, "err", err)
return nil
},
ContextualInformation: []string{
fmt.Sprintf("The current time is %s", time.Now().Format(time.RFC3339)),
},
MaxCommands: 0,
}
res, err := c.Answer(context.Background(), []string{question})
if res.Directory != "" {
defer func() {
_ = os.RemoveAll(res.Directory)
}()
}
if err != nil {
panic(err)
}
fmt.Println("Results: ", fmt.Sprintf("%+v", res))
answer, err := agents.AnswerQuestionWithKnowledge(context.Background(), res.Knowledge, m, []string{
fmt.Sprintf("The current time is %s", time.Now().Format(time.RFC3339)),
})
if err != nil {
panic(err)
}
fmt.Println("Answer: ", answer)
return nil
},
}
err := app.Run(os.Args)
if err != nil {
slog.Error("Error: ", err)
}
}

118
cmd/steps/cmd.go Normal file
View File

@@ -0,0 +1,118 @@
package main
import (
"context"
"fmt"
"gitea.stevedudenhoeffer.com/steve/answer/pkg/agents"
"log/slog"
"os"
"strings"
gollm "gitea.stevedudenhoeffer.com/steve/go-llm"
"github.com/joho/godotenv"
"github.com/urfave/cli"
)
func getKey(key string, env string) string {
if key != "" {
return key
}
return os.Getenv(env)
}
func main() {
// Usage: go run cmd/answer.go question...
// - flags:
// --model=[model string such as openai/gpt-4o, anthropic/claude..., google/gemini-1.5. Default: openai/gpt-4o]
// --search-provider=[search provider string such as google, duckduckgo. Default: google]
// --cache-provider=[cache provider string such as memory, redis, file. Default: memory]
var app = cli.App{
Name: "console",
Usage: "has an llm control a console for you",
Version: "0.1",
Description: "",
Flags: []cli.Flag{
&cli.StringFlag{
Name: "env-file",
Value: ".env",
Usage: "file to read environment variables from",
},
&cli.StringFlag{
Name: "model",
Value: "openai/gpt-4o-mini",
Usage: "model to use for answering the question, syntax: provider/model such as openai/gpt-4o",
},
&cli.StringFlag{
Name: "llm-key",
Value: "",
Usage: "key for the llm model (if empty, will use env var of PROVIDER_API_KEY, such as OPENAI_API_KEY)",
},
},
Action: func(ctx *cli.Context) error {
// if there is no question to answer, print usage
if ctx.NArg() == 0 {
return cli.ShowAppHelp(ctx)
}
if ctx.String("env-file") != "" {
_ = godotenv.Load(ctx.String("env-file"))
}
var llm gollm.LLM
model := ctx.String("model")
a := strings.Split(model, "/")
if len(a) != 2 {
panic("invalid model, expected: provider/model (such as openai/gpt-4o)")
}
switch a[0] {
case "openai":
llm = gollm.OpenAI(getKey(ctx.String("llm-key"), "OPENAI_API_KEY"))
case "anthropic":
llm = gollm.Anthropic(getKey(ctx.String("llm-key"), "ANTHROPI_API_KEY"))
case "google":
llm = gollm.Google(getKey(ctx.String("llm-key"), "GOOGLE_API_KEY"))
default:
panic("unknown model provider")
}
m, err := llm.ModelVersion(a[1])
if err != nil {
panic(err)
}
question := strings.Join(ctx.Args(), " ")
ag := agents.NewAgent(m, nil)
steps, err := ag.SplitQuestion(context.Background(), question)
fmt.Println("Input question: ", question)
fmt.Println("Steps: ")
for i, s := range steps {
fmt.Println(" - Step ", i+1, ": ", s)
}
fmt.Println("Error: ", err)
return nil
},
}
err := app.Run(os.Args)
if err != nil {
slog.Error("Error: ", err)
}
}