Merge branch 'main' into scrape_url

2024-11-10 07:10:31 +00:00 · 2024-09-09 09:47:19 -07:00 · 2024-09-09 09:47:19 -07:00 · bac7d87390
commit bac7d87390
parent b2be94f2f8 13d68570e9
51 changed files with 1655 additions and 256 deletions
--- a/22
+++ b/22
@ -0,0 +1,22 @@
+MIT License
+
+Copyright (c) 2012-2024 Scott Chacon and others
+
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of this software and associated documentation files (the
+"Software"), to deal in the Software without restriction, including
+without limitation the rights to use, copy, modify, merge, publish,
+distribute, sublicense, and/or sell copies of the Software, and to
+permit persons to whom the Software is furnished to do so, subject to
+the following conditions:
+
+The above copyright notice and this permission notice shall be
+included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
+LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
+OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
+WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
--- a/README.md
+++ b/README.md
@ -34,7 +34,7 @@
  - [Too many prompts](#too-many-prompts)
  - [The Fabric approach to prompting](#our-approach-to-prompting)
 - [Installation](#Installation)
-  - [Migrating](#Migrating)
+  - [Migration](#Migration)
  - [Upgrading](#Upgrading)
 - [Usage](#Usage)
 - [Examples](#examples)
@ -48,6 +48,14 @@

 > [!NOTE] 
 August 20, 2024 — We have migrated to Go, and the transition has been pretty smooth! The biggest thing to know is that **the previous installation instructions in the various Fabric videos out there will no longer work** because they were for the legacy (Python) version. Check the new [install instructions](#Installation) below.
+>
+>
+> **The following command line options were changed during the migration to Go:**
+> * You now need to use the -c option instead of -C to copy the result to the clipboard.
+> * You now need to use the -s option instead of -S to stream results in realtime.
+> * The following command line options have been removed --agents (-a), --gui, --clearsession, --remoteOllamaServer, and --sessionlog options 
+> * You can now use --Setup (-S) to cofigure an Ollama server.
+> * **Please be patient while our developers rewrite the gui in go**

 ## Intro videos

@ -115,10 +123,21 @@ fabric --setup

 If everything works you are good to go, but you may need to set some environment variables in your `~/.bashrc` or `~/.zshrc` file. Here is an example of what you can add:

+For Intel based macs
 ```bash
 # Golang environment variables
 export GOROOT=/usr/local/go
 export GOPATH=$HOME/go
+
+# Update PATH to include GOPATH and GOROOT binaries
+export PATH=$GOPATH/bin:$GOROOT/bin:$HOME/.local/bin:$PATH
+```
+
+for Apple Silicon based macs
+```bash
+# Golang environment variables
+export GOROOT=/opt/homebrew/bin/go
+export GOPATH=$HOME/go
 export PATH=$GOPATH/bin:$GOROOT/bin:$HOME/.local/bin:$PATH:
 ```

@ -160,28 +179,34 @@ Usage:
  fabric [OPTIONS]

 Application Options:
-  -p, --pattern=          Choose a pattern
-  -C, --context=          Choose a context
-      --session=          Choose a session
-  -S, --setup             Run setup
-  -t, --temperature=      Set temperature (default: 0.7)
-  -T, --topp=             Set top P (default: 0.9)
-  -s, --stream            Stream
-  -P, --presencepenalty=  Set presence penalty (default: 0.0)
-  -F, --frequencypenalty= Set frequency penalty (default: 0.0)
-  -l, --listpatterns      List all patterns
-  -L, --listmodels        List all available models
-  -x, --listcontexts      List all contexts
-  -X, --listsessions      List all sessions
-  -U, --updatepatterns    Update patterns
-  -c, --copy              Copy to clipboard
-  -m, --model=            Choose model
-  -u, --url=              Choose ollama url (default: http://127.0.0.1:11434)
-  -o, --output=           Output to file
-  -n, --latest=           Number of latest patterns to list (default: 0)
+  -p, --pattern=                    Choose a pattern
+  -v, --variable=                   Values for pattern variables, e.g. -v=$name:John -v=$age:30
+  -C, --context=                    Choose a context
+      --session=                    Choose a session
+  -S, --setup                       Run setup
+      --setup-skip-update-patterns  Skip update patterns at setup
+  -t, --temperature=                Set temperature (default: 0.7)
+  -T, --topp=                       Set top P (default: 0.9)
+  -s, --stream                      Stream
+  -P, --presencepenalty=            Set presence penalty (default: 0.0)
+  -F, --frequencypenalty=           Set frequency penalty (default: 0.0)
+  -l, --listpatterns                List all patterns
+  -L, --listmodels                  List all available models
+  -x, --listcontexts                List all contexts
+  -X, --listsessions                List all sessions
+  -U, --updatepatterns              Update patterns
+  -c, --copy                        Copy to clipboard
+  -m, --model=                      Choose model
+  -o, --output=                     Output to file
+  -n, --latest=                     Number of latest patterns to list (default: 0)
+  -d, --changeDefaultModel          Change default pattern
+  -y, --youtube=                    YouTube video url to grab transcript, comments from it and send to chat
+      --transcript                  Grab transcript from YouTube video and send to chat
+      --comments                    Grab comments from YouTube video and send to chat
+      --dry-run                     Show what would be sent to the model without actually sending it

 Help Options:
-  -h, --help              Show this help message
+  -h, --help                        Show this help message

 ```

--- a/cli/cli.go
+++ b/cli/cli.go
@ -6,6 +6,7 @@ import (
 	"os/exec"
 	"path/filepath"
 	"strconv"
+	"strings"

 	"github.com/danielmiessler/fabric/core"
 	"github.com/danielmiessler/fabric/db"
@ -15,7 +16,7 @@ import (
 func Cli() (message string, err error) {
 	var currentFlags *Flags
 	if currentFlags, err = Init(); err != nil {
-		// we need to reset error, because we want to show double help messages
+		// we need to reset error, because we don't want to show double help messages
 		err = nil
 		return
 	}
@ -25,23 +26,23 @@ func Cli() (message string, err error) {
 		return
 	}

-	db := db.NewDb(filepath.Join(homedir, ".config/fabric"))
+	fabricDb := db.NewDb(filepath.Join(homedir, ".config/fabric"))

 	// if the setup flag is set, run the setup function
 	if currentFlags.Setup {
-		_ = db.Configure()
-		_, err = Setup(db, currentFlags.SetupSkipUpdatePatterns)
+		_ = fabricDb.Configure()
+		_, err = Setup(fabricDb, currentFlags.SetupSkipUpdatePatterns)
 		return
 	}

 	var fabric *core.Fabric
-	if err = db.Configure(); err != nil {
+	if err = fabricDb.Configure(); err != nil {
 		fmt.Println("init is failed, run start the setup procedure", err)
-		if fabric, err = Setup(db, currentFlags.SetupSkipUpdatePatterns); err != nil {
+		if fabric, err = Setup(fabricDb, currentFlags.SetupSkipUpdatePatterns); err != nil {
 			return
 		}
 	} else {
-		if fabric, err = core.NewFabric(db); err != nil {
+		if fabric, err = core.NewFabric(fabricDb); err != nil {
 			fmt.Println("fabric can't initialize, please run the --setup procedure", err)
 			return
 		}
@ -65,7 +66,7 @@ func Cli() (message string, err error) {
 			return
 		}

-		if err = db.Patterns.PrintLatestPatterns(parsedToInt); err != nil {
+		if err = fabricDb.Patterns.PrintLatestPatterns(parsedToInt); err != nil {
 			return
 		}
 		return
@ -73,7 +74,7 @@ func Cli() (message string, err error) {

 	// if the list patterns flag is set, run the list all patterns function
 	if currentFlags.ListPatterns {
-		err = db.Patterns.ListNames()
+		err = fabricDb.Patterns.ListNames()
 		return
 	}

@ -85,13 +86,13 @@ func Cli() (message string, err error) {

 	// if the list all contexts flag is set, run the list all contexts function
 	if currentFlags.ListAllContexts {
-		err = db.Contexts.ListNames()
+		err = fabricDb.Contexts.ListNames()
 		return
 	}

 	// if the list all sessions flag is set, run the list all sessions function
 	if currentFlags.ListAllSessions {
-		err = db.Sessions.ListNames()
+		err = fabricDb.Sessions.ListNames()
 		return
 	}

@ -113,8 +114,48 @@ func Cli() (message string, err error) {

 	// if none of the above currentFlags are set, run the initiate chat function

+	if currentFlags.YouTube != "" {
+		if fabric.YouTube.IsConfigured() == false {
+			err = fmt.Errorf("YouTube is not configured, please run the setup procedure")
+			return
+		}
+
+		var videoId string
+		if videoId, err = fabric.YouTube.GetVideoId(currentFlags.YouTube); err != nil {
+			return
+		}
+
+		if currentFlags.YouTubeTranscript {
+			var transcript string
+			if transcript, err = fabric.YouTube.GrabTranscript(videoId); err != nil {
+				return
+			}
+
+			if currentFlags.Message != "" {
+				currentFlags.Message = currentFlags.Message + "\n" + transcript
+			} else {
+				currentFlags.Message = transcript
+			}
+		}
+
+		if currentFlags.YouTubeComments {
+			var comments []string
+			if comments, err = fabric.YouTube.GrabComments(videoId); err != nil {
+				return
+			}
+
+			commentsString := strings.Join(comments, "\n")
+
+			if currentFlags.Message != "" {
+				currentFlags.Message = currentFlags.Message + "\n" + commentsString
+			} else {
+				currentFlags.Message = commentsString
+			}
+		}
+	}
+
 	var chatter *core.Chatter
-	if chatter, err = fabric.GetChatter(currentFlags.Model, currentFlags.Stream); err != nil {
+	if chatter, err = fabric.GetChatter(currentFlags.Model, currentFlags.Stream, currentFlags.DryRun); err != nil {
 		return
 	}

@ -141,17 +182,17 @@ func Cli() (message string, err error) {
 }

 func Setup(db *db.Db, skipUpdatePatterns bool) (ret *core.Fabric, err error) {
-	ret = core.NewFabricForSetup(db)
+	instance := core.NewFabricForSetup(db)

-	if err = ret.Setup(); err != nil {
+	if err = instance.Setup(); err != nil {
 		return
 	}

 	if !skipUpdatePatterns {
-		if err = ret.PopulateDB(); err != nil {
+		if err = instance.PopulateDB(); err != nil {
 			return
 		}
 	}
-
+	ret = instance
 	return
 }
--- a/cli/cli_test.go
+++ b/cli/cli_test.go
@ -0,0 +1,23 @@
+package cli
+
+import (
+	"os"
+	"testing"
+
+	"github.com/danielmiessler/fabric/db"
+	"github.com/stretchr/testify/assert"
+)
+
+func TestCli(t *testing.T) {
+	message, err := Cli()
+	assert.NoError(t, err)
+	assert.Empty(t, message)
+}
+
+func TestSetup(t *testing.T) {
+	mockDB := db.NewDb(os.TempDir())
+
+	fabric, err := Setup(mockDB, false)
+	assert.Error(t, err)
+	assert.Nil(t, fabric)
+}
--- a/cli/flags.go
+++ b/cli/flags.go
@ -13,28 +13,33 @@ import (

 // Flags create flags struct. the users flags go into this, this will be passed to the chat struct in cli
 type Flags struct {
-	Pattern                 string  `short:"p" long:"pattern" description:"Choose a pattern" default:""`
-	Context                 string  `short:"C" long:"context" description:"Choose a context" default:""`
-	Session                 string  `long:"session" description:"Choose a session"`
-	Setup                   bool    `short:"S" long:"setup" description:"Run setup"`
-	SetupSkipUpdatePatterns bool    `long:"setup-skip-update-patterns" description:"Skip update patterns at setup"`
-	Temperature             float64 `short:"t" long:"temperature" description:"Set temperature" default:"0.7"`
-	TopP                    float64 `short:"T" long:"topp" description:"Set top P" default:"0.9"`
-	Stream                  bool    `short:"s" long:"stream" description:"Stream"`
-	PresencePenalty         float64 `short:"P" long:"presencepenalty" description:"Set presence penalty" default:"0.0"`
-	FrequencyPenalty        float64 `short:"F" long:"frequencypenalty" description:"Set frequency penalty" default:"0.0"`
-	ListPatterns            bool    `short:"l" long:"listpatterns" description:"List all patterns"`
-	ListAllModels           bool    `short:"L" long:"listmodels" description:"List all available models"`
-	ListAllContexts         bool    `short:"x" long:"listcontexts" description:"List all contexts"`
-	ListAllSessions         bool    `short:"X" long:"listsessions" description:"List all sessions"`
-	UpdatePatterns          bool    `short:"U" long:"updatepatterns" description:"Update patterns"`
-	Message                 string  `hidden:"true" description:"Message to send to chat"`
-	Copy                    bool    `short:"c" long:"copy" description:"Copy to clipboard"`
-	Model                   string  `short:"m" long:"model" description:"Choose model"`
-	Output                  string  `short:"o" long:"output" description:"Output to file" default:""`
-	LatestPatterns          string  `short:"n" long:"latest" description:"Number of latest patterns to list" default:"0"`
-	ChangeDefaultModel      bool    `short:"d" long:"changeDefaultModel" description:"Change default pattern"`
-    ScrapeURL               string  `short:"u" long:"scrape_url" description:"Scrape website URL to markdown using Jina AI"`
+	Pattern                 string            `short:"p" long:"pattern" description:"Choose a pattern" default:""`
+	PatternVariables        map[string]string `short:"v" long:"variable" description:"Values for pattern variables, e.g. -v=$name:John -v=$age:30"`
+	Context                 string            `short:"C" long:"context" description:"Choose a context" default:""`
+	Session                 string            `long:"session" description:"Choose a session"`
+	Setup                   bool              `short:"S" long:"setup" description:"Run setup"`
+	SetupSkipUpdatePatterns bool              `long:"setup-skip-update-patterns" description:"Skip update patterns at setup"`
+	Temperature             float64           `short:"t" long:"temperature" description:"Set temperature" default:"0.7"`
+	TopP                    float64           `short:"T" long:"topp" description:"Set top P" default:"0.9"`
+	Stream                  bool              `short:"s" long:"stream" description:"Stream"`
+	PresencePenalty         float64           `short:"P" long:"presencepenalty" description:"Set presence penalty" default:"0.0"`
+	FrequencyPenalty        float64           `short:"F" long:"frequencypenalty" description:"Set frequency penalty" default:"0.0"`
+	ListPatterns            bool              `short:"l" long:"listpatterns" description:"List all patterns"`
+	ListAllModels           bool              `short:"L" long:"listmodels" description:"List all available models"`
+	ListAllContexts         bool              `short:"x" long:"listcontexts" description:"List all contexts"`
+	ListAllSessions         bool              `short:"X" long:"listsessions" description:"List all sessions"`
+	UpdatePatterns          bool              `short:"U" long:"updatepatterns" description:"Update patterns"`
+	Message                 string            `hidden:"true" description:"Message to send to chat"`
+	Copy                    bool              `short:"c" long:"copy" description:"Copy to clipboard"`
+	Model                   string            `short:"m" long:"model" description:"Choose model"`
+	Output                  string            `short:"o" long:"output" description:"Output to file" default:""`
+	LatestPatterns          string            `short:"n" long:"latest" description:"Number of latest patterns to list" default:"0"`
+	ChangeDefaultModel      bool              `short:"d" long:"changeDefaultModel" description:"Change default pattern"`
+	YouTube                 string            `short:"y" long:"youtube" description:"YouTube video url to grab transcript, comments from it and send to chat"`
+	YouTubeTranscript       bool              `long:"transcript" description:"Grab transcript from YouTube video and send to chat"`
+	YouTubeComments         bool              `long:"comments" description:"Grab comments from YouTube video and send to chat"`
+	DryRun                  bool              `long:"dry-run" description:"Show what would be sent to the model without actually sending it"`
+    ScrapeURL               string            `short:"u" long:"scrape_url" description:"Scrape website URL to markdown using Jina AI"`

 }

@ -52,18 +57,17 @@ func Init() (ret *Flags, err error) {
    info, _ := os.Stdin.Stat()
    hasStdin := (info.Mode() & os.ModeCharDevice) == 0

-    // takes input from stdin if it exists, otherwise takes input from args (the last argument)
-    if hasStdin {
-        if message, err = readStdin(); err != nil {
-            err = errors.New("error: could not read from stdin")
-            return
-        }
-    } else if len(args) > 0 {
-        message = args[len(args)-1]
-    } else {
-        message = ""
-    }
-    ret.Message = message
+	// takes input from stdin if it exists, otherwise takes input from args (the last argument)
+	if hasStdin {
+		if message, err = readStdin(); err != nil {
+			return
+		}
+	} else if len(args) > 0 {
+		message = args[len(args)-1]
+	} else {
+		message = ""
+	}
+	ret.Message = message

    return
 }
@ -97,10 +101,11 @@ func (o *Flags) BuildChatOptions() (ret *common.ChatOptions) {

 func (o *Flags) BuildChatRequest() (ret *common.ChatRequest) {
 	ret = &common.ChatRequest{
-		ContextName: o.Context,
-		SessionName: o.Session,
-		PatternName: o.Pattern,
-		Message:     o.Message,
+		ContextName:      o.Context,
+		SessionName:      o.Session,
+		PatternName:      o.Pattern,
+		PatternVariables: o.PatternVariables,
+		Message:          o.Message,
 	}
 	return
 }
--- a/cli/flags_test.go
+++ b/cli/flags_test.go
@ -0,0 +1,84 @@
+package cli
+
+import (
+	"bytes"
+	"io"
+	"os"
+	"strings"
+	"testing"
+
+	"github.com/danielmiessler/fabric/common"
+	"github.com/stretchr/testify/assert"
+)
+
+func TestInit(t *testing.T) {
+	args := []string{"--copy"}
+	expectedFlags := &Flags{Copy: true}
+	oldArgs := os.Args
+	defer func() { os.Args = oldArgs }()
+	os.Args = append([]string{"cmd"}, args...)
+
+	flags, err := Init()
+	assert.NoError(t, err)
+	assert.Equal(t, expectedFlags.Copy, flags.Copy)
+}
+
+func TestReadStdin(t *testing.T) {
+	input := "test input"
+	stdin := io.NopCloser(strings.NewReader(input))
+	// No need to cast stdin to *os.File, pass it as io.ReadCloser directly
+	content, err := ReadStdin(stdin)
+	if err != nil {
+		t.Fatalf("unexpected error: %v", err)
+	}
+	if content != input {
+		t.Fatalf("expected %q, got %q", input, content)
+	}
+}
+
+// ReadStdin function assuming it's part of `cli` package
+func ReadStdin(reader io.ReadCloser) (string, error) {
+	defer reader.Close()
+	buf := new(bytes.Buffer)
+	_, err := buf.ReadFrom(reader)
+	if err != nil {
+		return "", err
+	}
+	return buf.String(), nil
+}
+
+func TestBuildChatOptions(t *testing.T) {
+	flags := &Flags{
+		Temperature:      0.8,
+		TopP:             0.9,
+		PresencePenalty:  0.1,
+		FrequencyPenalty: 0.2,
+	}
+
+	expectedOptions := &common.ChatOptions{
+		Temperature:      0.8,
+		TopP:             0.9,
+		PresencePenalty:  0.1,
+		FrequencyPenalty: 0.2,
+	}
+	options := flags.BuildChatOptions()
+	assert.Equal(t, expectedOptions, options)
+}
+
+func TestBuildChatRequest(t *testing.T) {
+	flags := &Flags{
+		Context: "test-context",
+		Session: "test-session",
+		Pattern: "test-pattern",
+		Message: "test-message",
+	}
+
+	expectedRequest := &common.ChatRequest{
+		ContextName: "test-context",
+		SessionName: "test-session",
+		PatternName: "test-pattern",
+		Message:     "test-message",
+	}
+	request := flags.BuildChatRequest()
+	assert.Equal(t, expectedRequest, request)
+}
--- a/common/configurable.go
+++ b/common/configurable.go
@ -23,10 +23,6 @@ func (o *Configurable) GetName() string {
 	return o.Label
 }

-func (o *Configurable) GetSettings() Settings {
-	return o.Settings
-}
-
 func (o *Configurable) AddSetting(name string, required bool) (ret *Setting) {
 	ret = NewSetting(fmt.Sprintf("%v%v", o.EnvNamePrefix, BuildEnvVariable(name)), required)
 	o.Settings = append(o.Settings, ret)
@ -67,6 +63,17 @@ func (o *Configurable) Setup() (err error) {
 	return
 }

+func (o *Configurable) SetupOrSkip() (err error) {
+	if err = o.Setup(); err != nil {
+		fmt.Printf("[%v] skipped\n", o.GetName())
+	}
+	return
+}
+
+func (o *Configurable) SetupFillEnvFileContent(fileEnvFileContent *bytes.Buffer) {
+	o.Settings.FillEnvFileContent(fileEnvFileContent)
+}
+
 func NewSetting(envVariable string, required bool) *Setting {
 	return &Setting{
 		EnvVariable: envVariable,
--- a/common/configurable_test.go
+++ b/common/configurable_test.go
@ -0,0 +1,176 @@
+package common
+
+import (
+	"bytes"
+	"os"
+	"testing"
+
+	"github.com/stretchr/testify/assert"
+)
+
+func TestConfigurable_AddSetting(t *testing.T) {
+	conf := &Configurable{
+		Settings:      Settings{},
+		Label:         "TestConfigurable",
+		EnvNamePrefix: "TEST_",
+	}
+
+	setting := conf.AddSetting("test_setting", true)
+	assert.Equal(t, "TEST_TEST_SETTING", setting.EnvVariable)
+	assert.True(t, setting.Required)
+	assert.Contains(t, conf.Settings, setting)
+}
+
+func TestConfigurable_Configure(t *testing.T) {
+	setting := &Setting{
+		EnvVariable: "TEST_SETTING",
+		Required:    true,
+	}
+	conf := &Configurable{
+		Settings: Settings{setting},
+		Label:    "TestConfigurable",
+	}
+
+	_ = os.Setenv("TEST_SETTING", "test_value")
+	err := conf.Configure()
+	assert.NoError(t, err)
+	assert.Equal(t, "test_value", setting.Value)
+}
+
+func TestConfigurable_Setup(t *testing.T) {
+	setting := &Setting{
+		EnvVariable: "TEST_SETTING",
+		Required:    false,
+	}
+	conf := &Configurable{
+		Settings: Settings{setting},
+		Label:    "TestConfigurable",
+	}
+
+	err := conf.Setup()
+	assert.NoError(t, err)
+}
+
+func TestSetting_IsValid(t *testing.T) {
+	setting := &Setting{
+		EnvVariable: "TEST_SETTING",
+		Value:       "some_value",
+		Required:    true,
+	}
+
+	assert.True(t, setting.IsValid())
+
+	setting.Value = ""
+	assert.False(t, setting.IsValid())
+}
+
+func TestSetting_Configure(t *testing.T) {
+	_ = os.Setenv("TEST_SETTING", "test_value")
+	setting := &Setting{
+		EnvVariable: "TEST_SETTING",
+		Required:    true,
+	}
+	err := setting.Configure()
+	assert.NoError(t, err)
+	assert.Equal(t, "test_value", setting.Value)
+}
+
+func TestSetting_FillEnvFileContent(t *testing.T) {
+	buffer := &bytes.Buffer{}
+	setting := &Setting{
+		EnvVariable: "TEST_SETTING",
+		Value:       "test_value",
+	}
+	setting.FillEnvFileContent(buffer)
+
+	expected := "TEST_SETTING=test_value\n"
+	assert.Equal(t, expected, buffer.String())
+}
+
+func TestSetting_Print(t *testing.T) {
+	setting := &Setting{
+		EnvVariable: "TEST_SETTING",
+		Value:       "test_value",
+	}
+	expected := "TEST_SETTING: test_value\n"
+	fmtOutput := captureOutput(func() {
+		setting.Print()
+	})
+	assert.Equal(t, expected, fmtOutput)
+}
+
+func TestSetupQuestion_Ask(t *testing.T) {
+	setting := &Setting{
+		EnvVariable: "TEST_SETTING",
+		Required:    true,
+	}
+	question := &SetupQuestion{
+		Setting:  setting,
+		Question: "Enter test setting:",
+	}
+	input := "user_value\n"
+	fmtInput := captureInput(input)
+	defer fmtInput()
+	err := question.Ask("TestConfigurable")
+	assert.NoError(t, err)
+	assert.Equal(t, "user_value", setting.Value)
+}
+
+func TestSettings_IsConfigured(t *testing.T) {
+	settings := Settings{
+		{EnvVariable: "TEST_SETTING1", Value: "value1", Required: true},
+		{EnvVariable: "TEST_SETTING2", Value: "", Required: false},
+	}
+
+	assert.True(t, settings.IsConfigured())
+
+	settings[0].Value = ""
+	assert.False(t, settings.IsConfigured())
+}
+
+func TestSettings_Configure(t *testing.T) {
+	_ = os.Setenv("TEST_SETTING", "test_value")
+	settings := Settings{
+		{EnvVariable: "TEST_SETTING", Required: true},
+	}
+
+	err := settings.Configure()
+	assert.NoError(t, err)
+	assert.Equal(t, "test_value", settings[0].Value)
+}
+
+func TestSettings_FillEnvFileContent(t *testing.T) {
+	buffer := &bytes.Buffer{}
+	settings := Settings{
+		{EnvVariable: "TEST_SETTING", Value: "test_value"},
+	}
+	settings.FillEnvFileContent(buffer)
+
+	expected := "TEST_SETTING=test_value\n"
+	assert.Equal(t, expected, buffer.String())
+}
+
+// captureOutput captures the output of a function call
+func captureOutput(f func()) string {
+	var buf bytes.Buffer
+	stdout := os.Stdout
+	r, w, _ := os.Pipe()
+	os.Stdout = w
+	f()
+	_ = w.Close()
+	os.Stdout = stdout
+	_, _ = buf.ReadFrom(r)
+	return buf.String()
+}
+
+// captureInput captures the input for a function call
+func captureInput(input string) func() {
+	r, w, _ := os.Pipe()
+	_, _ = w.WriteString(input)
+	_ = w.Close()
+	stdin := os.Stdin
+	os.Stdin = r
+	return func() {
+		os.Stdin = stdin
+	}
+}
--- a/common/domain.go
+++ b/common/domain.go
@ -6,10 +6,11 @@ type Message struct {
 }

 type ChatRequest struct {
-	ContextName string
-	SessionName string
-	PatternName string
-	Message     string
+	ContextName      string
+	SessionName      string
+	PatternName      string
+	PatternVariables map[string]string
+	Message          string
 }

 type ChatOptions struct {
@ -19,3 +20,24 @@ type ChatOptions struct {
 	PresencePenalty  float64
 	FrequencyPenalty float64
 }
+
+// NormalizeMessages remove empty messages and ensure messages order user-assist-user
+func NormalizeMessages(msgs []*Message, defaultUserMessage string) (ret []*Message) {
+	// Iterate over messages to enforce the odd position rule for user messages
+	fullMessageIndex := 0
+	for _, message := range msgs {
+		if message.Content == "" {
+			// Skip empty messages as the anthropic API doesn't accept them
+			continue
+		}
+
+		// Ensure, that each odd position shall be a user message
+		if fullMessageIndex%2 == 0 && message.Role != "user" {
+			ret = append(ret, &Message{Role: "user", Content: defaultUserMessage})
+			fullMessageIndex++
+		}
+		ret = append(ret, message)
+		fullMessageIndex++
+	}
+	return
+}
--- a/common/domain_test.go
+++ b/common/domain_test.go
@ -0,0 +1,25 @@
+package common
+
+import (
+	"github.com/stretchr/testify/assert"
+	"testing"
+)
+
+func TestNormalizeMessages(t *testing.T) {
+	msgs := []*Message{
+		{Role: "user", Content: "Hello"},
+		{Role: "bot", Content: "Hi there!"},
+		{Role: "bot", Content: ""},
+		{Role: "user", Content: ""},
+		{Role: "user", Content: "How are you?"},
+	}
+
+	expected := []*Message{
+		{Role: "user", Content: "Hello"},
+		{Role: "bot", Content: "Hi there!"},
+		{Role: "user", Content: "How are you?"},
+	}
+
+	actual := NormalizeMessages(msgs, "default")
+	assert.Equal(t, expected, actual)
+}
--- a/common/messages.go
+++ b/common/messages.go
@ -1,22 +0,0 @@
-package common
-
-// NormalizeMessages remove empty messages and ensure messages order user-assist-user
-func NormalizeMessages(msgs []*Message, defaultUserMessage string) (ret []*Message) {
-	// Iterate over messages to enforce the odd position rule for user messages
-	fullMessageIndex := 0
-	for _, message := range msgs {
-		if message.Content == "" {
-			// Skip empty messages as the anthropic API doesn't accept them
-			continue
-		}
-
-		// Ensure, that each odd position shall be a user message
-		if fullMessageIndex%2 == 0 && message.Role != "user" {
-			ret = append(ret, &Message{Role: "user", Content: defaultUserMessage})
-			fullMessageIndex++
-		}
-		ret = append(ret, message)
-		fullMessageIndex++
-	}
-	return
-}
--- a/common/vendor.go
+++ b/common/vendor.go
@ -1,12 +0,0 @@
-package common
-
-type Vendor interface {
-	GetName() string
-	IsConfigured() bool
-	Configure() error
-	ListModels() ([]string, error)
-	SendStream([]*Message, *ChatOptions, chan string) error
-	Send([]*Message, *ChatOptions) (string, error)
-	GetSettings() Settings
-	Setup() error
-}
--- a/core/chatter.go
+++ b/core/chatter.go
@ -1,22 +1,25 @@
 package core

 import (
+	"context"
 	"fmt"
+
 	"github.com/danielmiessler/fabric/common"
 	"github.com/danielmiessler/fabric/db"
+	"github.com/danielmiessler/fabric/vendors"
 )

 type Chatter struct {
 	db *db.Db

 	Stream bool
+	DryRun bool

 	model  string
-	vendor common.Vendor
+	vendor vendors.Vendor
 }

 func (o *Chatter) Send(request *common.ChatRequest, opts *common.ChatOptions) (message string, err error) {
-
 	var chatRequest *Chat
 	if chatRequest, err = o.NewChat(request); err != nil {
 		return
@ -44,7 +47,7 @@ func (o *Chatter) Send(request *common.ChatRequest, opts *common.ChatOptions) (m
 			fmt.Print(response)
 		}
 	} else {
-		if message, err = o.vendor.Send(session.Messages, opts); err != nil {
+		if message, err = o.vendor.Send(context.Background(), session.Messages, opts); err != nil {
 			return
 		}
 	}
@ -57,7 +60,6 @@ func (o *Chatter) Send(request *common.ChatRequest, opts *common.ChatOptions) (m
 }

 func (o *Chatter) NewChat(request *common.ChatRequest) (ret *Chat, err error) {
-
 	ret = &Chat{}

 	if request.ContextName != "" {
@ -80,7 +82,7 @@ func (o *Chatter) NewChat(request *common.ChatRequest) (ret *Chat, err error) {

 	if request.PatternName != "" {
 		var pattern *db.Pattern
-		if pattern, err = o.db.Patterns.GetPattern(request.PatternName); err != nil {
+		if pattern, err = o.db.Patterns.GetPattern(request.PatternName, request.PatternVariables); err != nil {
 			err = fmt.Errorf("could not find pattern %s: %v", request.PatternName, err)
 			return
 		}
--- a/core/chatter_test.go
+++ b/core/chatter_test.go
@ -0,0 +1,21 @@
+package core
+
+import (
+	"testing"
+)
+
+func TestBuildChatSession(t *testing.T) {
+	chat := &Chat{
+		Context: "test context",
+		Pattern: "test pattern",
+		Message: "test message",
+	}
+	session, err := chat.BuildChatSession()
+	if err != nil {
+		t.Fatalf("BuildChatSession() error = %v", err)
+	}
+
+	if session == nil {
+		t.Fatalf("BuildChatSession() returned nil session")
+	}
+}
--- a/core/fabric.go
+++ b/core/fabric.go
@ -3,20 +3,22 @@ package core
 import (
 	"bytes"
 	"fmt"
+	"os"
+	"strconv"
+	"strings"
+
 	"github.com/atotto/clipboard"
 	"github.com/danielmiessler/fabric/common"
 	"github.com/danielmiessler/fabric/db"
 	"github.com/danielmiessler/fabric/vendors/anthropic"
 	"github.com/danielmiessler/fabric/vendors/azure"
+	"github.com/danielmiessler/fabric/vendors/dryrun"
 	"github.com/danielmiessler/fabric/vendors/gemini"
-	"github.com/danielmiessler/fabric/vendors/grocq"
+	"github.com/danielmiessler/fabric/vendors/groc"
 	"github.com/danielmiessler/fabric/vendors/ollama"
 	"github.com/danielmiessler/fabric/vendors/openai"
 	"github.com/danielmiessler/fabric/youtube"
 	"github.com/pkg/errors"
-	"os"
-	"strconv"
-	"strings"
 )

 const DefaultPatternsGitRepoUrl = "https://github.com/danielmiessler/fabric.git"
@ -56,7 +58,7 @@ func NewFabricBase(db *db.Db) (ret *Fabric) {
 	ret.DefaultModel = ret.AddSetupQuestionCustom("Model", true,
 		"Enter the index the name of your default model")

-	ret.VendorsAll.AddVendors(openai.NewClient(), azure.NewClient(), ollama.NewClient(), grocq.NewClient(),
+	ret.VendorsAll.AddVendors(openai.NewClient(), azure.NewClient(), ollama.NewClient(), groc.NewClient(),
 		gemini.NewClient(), anthropic.NewClient())

 	return
@ -85,13 +87,13 @@ func (o *Fabric) SaveEnvFile() (err error) {
 	var envFileContent bytes.Buffer

 	o.Settings.FillEnvFileContent(&envFileContent)
-	o.PatternsLoader.FillEnvFileContent(&envFileContent)
+	o.PatternsLoader.SetupFillEnvFileContent(&envFileContent)

 	for _, vendor := range o.Vendors {
-		vendor.GetSettings().FillEnvFileContent(&envFileContent)
+		vendor.SetupFillEnvFileContent(&envFileContent)
 	}

-	o.YouTube.FillEnvFileContent(&envFileContent)
+	o.YouTube.SetupFillEnvFileContent(&envFileContent)

 	err = o.Db.SaveEnv(envFileContent.String())
 	return
@ -106,9 +108,7 @@ func (o *Fabric) Setup() (err error) {
 		return
 	}

-	if youtubeErr := o.YouTube.Setup(); youtubeErr != nil {
-		fmt.Printf("[%v] skipped\n", o.YouTube.GetName())
-	}
+	_ = o.YouTube.SetupOrSkip()

 	if err = o.PatternsLoader.Setup(); err != nil {
 		return
@ -152,16 +152,9 @@ func (o *Fabric) SetupDefaultModel() (err error) {
 }

 func (o *Fabric) SetupVendors() (err error) {
-	o.Reset()
-
-	for _, vendor := range o.VendorsAll.Vendors {
-		fmt.Println()
-		if vendorErr := vendor.Setup(); vendorErr == nil {
-			fmt.Printf("[%v] configured\n", vendor.GetName())
-			o.AddVendors(vendor)
-		} else {
-			fmt.Printf("[%v] skipped\n", vendor.GetName())
-		}
+	o.Models = nil
+	if o.Vendors, err = o.VendorsAll.Setup(); err != nil {
+		return
 	}

 	if !o.HasVendors() {
@ -191,13 +184,20 @@ func (o *Fabric) configure() (err error) {
 	return
 }

-func (o *Fabric) GetChatter(model string, stream bool) (ret *Chatter, err error) {
+func (o *Fabric) GetChatter(model string, stream bool, dryRun bool) (ret *Chatter, err error) {
 	ret = &Chatter{
 		db:     o.Db,
 		Stream: stream,
+		DryRun: dryRun,
 	}

-	if model == "" {
+	if dryRun {
+		ret.vendor = dryrun.NewClient()
+		ret.model = model
+		if ret.model == "" {
+			ret.model = o.DefaultModel.Value
+		}
+	} else if model == "" {
 		ret.vendor = o.FindByName(o.DefaultVendor.Value)
 		ret.model = o.DefaultModel.Value
 	} else {
--- a/core/fabric_test.go
+++ b/core/fabric_test.go
@ -0,0 +1,49 @@
+package core
+
+import (
+	"os"
+	"testing"
+
+	"github.com/danielmiessler/fabric/db"
+)
+
+func TestNewFabric(t *testing.T) {
+	_, err := NewFabric(db.NewDb(os.TempDir()))
+	if err == nil {
+		t.Fatal("without setup error expected")
+	}
+}
+
+func TestSaveEnvFile(t *testing.T) {
+	fabric := NewFabricBase(db.NewDb(os.TempDir()))
+
+	err := fabric.SaveEnvFile()
+	if err != nil {
+		t.Fatalf("SaveEnvFile() error = %v", err)
+	}
+}
+
+func TestCopyToClipboard(t *testing.T) {
+	t.Skip("skipping test, because of docker env. in ci.")
+	fabric := NewFabricBase(db.NewDb(os.TempDir()))
+
+	message := "test message"
+	err := fabric.CopyToClipboard(message)
+	if err != nil {
+		t.Fatalf("CopyToClipboard() error = %v", err)
+	}
+}
+
+func TestCreateOutputFile(t *testing.T) {
+	mockDb := &db.Db{}
+	fabric := NewFabricBase(mockDb)
+
+	fileName := "test_output.txt"
+	message := "test message"
+	err := fabric.CreateOutputFile(message, fileName)
+	if err != nil {
+		t.Fatalf("CreateOutputFile() error = %v", err)
+	}
+
+	defer os.Remove(fileName)
+}
--- a/core/models_test.go
+++ b/core/models_test.go
@ -0,0 +1,52 @@
+package core
+
+import (
+	"errors"
+	"testing"
+)
+
+func TestNewVendorsModels(t *testing.T) {
+	vendors := NewVendorsModels()
+	if vendors == nil {
+		t.Fatalf("NewVendorsModels() returned nil")
+	}
+	if len(vendors.VendorsModels) != 0 {
+		t.Fatalf("NewVendorsModels() returned non-empty VendorsModels map")
+	}
+}
+
+func TestFindVendorsByModelFirst(t *testing.T) {
+	vendors := NewVendorsModels()
+	vendors.AddVendorModels("vendor1", []string{"model1", "model2"})
+	vendor := vendors.FindVendorsByModelFirst("model1")
+	if vendor != "vendor1" {
+		t.Fatalf("FindVendorsByModelFirst() = %v, want %v", vendor, "vendor1")
+	}
+}
+
+func TestFindVendorsByModel(t *testing.T) {
+	vendors := NewVendorsModels()
+	vendors.AddVendorModels("vendor1", []string{"model1", "model2"})
+	foundVendors := vendors.FindVendorsByModel("model1")
+	if len(foundVendors) != 1 || foundVendors[0] != "vendor1" {
+		t.Fatalf("FindVendorsByModel() = %v, want %v", foundVendors, []string{"vendor1"})
+	}
+}
+
+func TestAddVendorModels(t *testing.T) {
+	vendors := NewVendorsModels()
+	vendors.AddVendorModels("vendor1", []string{"model1", "model2"})
+	models := vendors.GetVendorModels("vendor1")
+	if len(models) != 2 {
+		t.Fatalf("AddVendorModels() failed to add models")
+	}
+}
+
+func TestAddError(t *testing.T) {
+	vendors := NewVendorsModels()
+	err := errors.New("sample error")
+	vendors.AddError(err)
+	if len(vendors.Errs) != 1 {
+		t.Fatalf("AddError() failed to add error")
+	}
+}
--- a/core/vendors.go
+++ b/core/vendors.go
@ -3,32 +3,27 @@ package core
 import (
 	"context"
 	"fmt"
-	"github.com/danielmiessler/fabric/common"
+	"github.com/danielmiessler/fabric/vendors"
 	"sync"
 )

 func NewVendorsManager() *VendorsManager {
 	return &VendorsManager{
-		Vendors: map[string]common.Vendor{},
+		Vendors: map[string]vendors.Vendor{},
 	}
 }

 type VendorsManager struct {
-	Vendors map[string]common.Vendor
+	Vendors map[string]vendors.Vendor
 	Models  *VendorsModels
 }

-func (o *VendorsManager) AddVendors(vendors ...common.Vendor) {
+func (o *VendorsManager) AddVendors(vendors ...vendors.Vendor) {
 	for _, vendor := range vendors {
 		o.Vendors[vendor.GetName()] = vendor
 	}
 }

-func (o *VendorsManager) Reset() {
-	o.Vendors = map[string]common.Vendor{}
-	o.Models = nil
-}
-
 func (o *VendorsManager) GetModels() *VendorsModels {
 	if o.Models == nil {
 		o.readModels()
@ -40,7 +35,7 @@ func (o *VendorsManager) HasVendors() bool {
 	return len(o.Vendors) > 0
 }

-func (o *VendorsManager) FindByName(name string) common.Vendor {
+func (o *VendorsManager) FindByName(name string) vendors.Vendor {
 	return o.Vendors[name]
 }

@ -76,7 +71,7 @@ func (o *VendorsManager) readModels() {
 }

 func (o *VendorsManager) fetchVendorModels(
-	ctx context.Context, wg *sync.WaitGroup, vendor common.Vendor, resultsChan chan<- modelResult) {
+	ctx context.Context, wg *sync.WaitGroup, vendor vendors.Vendor, resultsChan chan<- modelResult) {

 	defer wg.Done()

@ -90,6 +85,20 @@ func (o *VendorsManager) fetchVendorModels(
 	}
 }

+func (o *VendorsManager) Setup() (ret map[string]vendors.Vendor, err error) {
+	ret = map[string]vendors.Vendor{}
+	for _, vendor := range o.Vendors {
+		fmt.Println()
+		if vendorErr := vendor.Setup(); vendorErr == nil {
+			fmt.Printf("[%v] configured\n", vendor.GetName())
+			ret[vendor.GetName()] = vendor
+		} else {
+			fmt.Printf("[%v] skipped\n", vendor.GetName())
+		}
+	}
+	return
+}
+
 type modelResult struct {
 	vendorName string
 	models     []string
--- a/core/vendors_test.go
+++ b/core/vendors_test.go
@ -0,0 +1,131 @@
+package core
+
+import (
+	"bytes"
+	"context"
+	"testing"
+
+	"github.com/danielmiessler/fabric/common"
+)
+
+func TestNewVendorsManager(t *testing.T) {
+	vendorsManager := NewVendorsManager()
+	if vendorsManager == nil {
+		t.Fatalf("NewVendorsManager() returned nil")
+	}
+}
+
+func TestAddVendors(t *testing.T) {
+	vendorsManager := NewVendorsManager()
+	mockVendor := &MockVendor{name: "testVendor"}
+	vendorsManager.AddVendors(mockVendor)
+
+	if _, exists := vendorsManager.Vendors[mockVendor.GetName()]; !exists {
+		t.Fatalf("AddVendors() did not add vendor")
+	}
+}
+
+func TestGetModels(t *testing.T) {
+	vendorsManager := NewVendorsManager()
+	mockVendor := &MockVendor{name: "testVendor"}
+	vendorsManager.AddVendors(mockVendor)
+
+	models := vendorsManager.GetModels()
+	if models == nil {
+		t.Fatalf("GetModels() returned nil")
+	}
+}
+
+func TestHasVendors(t *testing.T) {
+	vendorsManager := NewVendorsManager()
+	if vendorsManager.HasVendors() {
+		t.Fatalf("HasVendors() should return false for an empty manager")
+	}
+
+	mockVendor := &MockVendor{name: "testVendor"}
+	vendorsManager.AddVendors(mockVendor)
+	if !vendorsManager.HasVendors() {
+		t.Fatalf("HasVendors() should return true after adding a vendor")
+	}
+}
+
+func TestFindByName(t *testing.T) {
+	vendorsManager := NewVendorsManager()
+	mockVendor := &MockVendor{name: "testVendor"}
+	vendorsManager.AddVendors(mockVendor)
+
+	foundVendor := vendorsManager.FindByName("testVendor")
+	if foundVendor == nil {
+		t.Fatalf("FindByName() did not find added vendor")
+	}
+}
+
+func TestReadModels(t *testing.T) {
+	vendorsManager := NewVendorsManager()
+	mockVendor := &MockVendor{name: "testVendor"}
+	vendorsManager.AddVendors(mockVendor)
+
+	vendorsManager.readModels()
+	if vendorsManager.Models == nil || len(vendorsManager.Models.Vendors) == 0 {
+		t.Fatalf("readModels() did not read models correctly")
+	}
+}
+
+func TestSetup(t *testing.T) {
+	vendorsManager := NewVendorsManager()
+	mockVendor := &MockVendor{name: "testVendor"}
+	vendorsManager.AddVendors(mockVendor)
+
+	vendors, err := vendorsManager.Setup()
+	if err != nil {
+		t.Fatalf("Setup() error = %v", err)
+	}
+	if len(vendors) == 0 {
+		t.Fatalf("Setup() did not setup any vendors")
+	}
+}
+
+// MockVendor is a mock implementation of the Vendor interface for testing purposes.
+type MockVendor struct {
+	*common.Settings
+	name string
+}
+
+func (o *MockVendor) SendStream(messages []*common.Message, options *common.ChatOptions, strings chan string) error {
+	// TODO implement me
+	panic("implement me")
+}
+
+func (o *MockVendor) Send(ctx context.Context, messages []*common.Message, options *common.ChatOptions) (string, error) {
+	// TODO implement me
+	panic("implement me")
+}
+
+func (o *MockVendor) SetupFillEnvFileContent(buffer *bytes.Buffer) {
+	// TODO implement me
+	panic("implement me")
+}
+
+func (o *MockVendor) IsConfigured() bool {
+	return false
+}
+
+func (o *MockVendor) GetSettings() *common.Settings {
+	return o.Settings
+}
+
+func (o *MockVendor) GetName() string {
+	return o.name
+}
+
+func (o *MockVendor) Configure() error {
+	return nil
+}
+
+func (o *MockVendor) Setup() error {
+	return nil
+}
+
+func (o *MockVendor) ListModels() ([]string, error) {
+	return []string{"model1", "model2"}, nil
+}
--- a/db/patterns.go
+++ b/db/patterns.go
@ -14,16 +14,25 @@ type Patterns struct {
 }

 // GetPattern finds a pattern by name and returns the pattern as an entry or an error
-func (o *Patterns) GetPattern(name string) (ret *Pattern, err error) {
+func (o *Patterns) GetPattern(name string, variables map[string]string) (ret *Pattern, err error) {
 	patternPath := filepath.Join(o.Dir, name, o.SystemPatternFile)

 	var pattern []byte
 	if pattern, err = os.ReadFile(patternPath); err != nil {
 		return
 	}
+
+	patternStr := string(pattern)
+
+	if variables != nil && len(variables) > 0 {
+		for variableName, value := range variables {
+			patternStr = strings.ReplaceAll(patternStr, variableName, value)
+		}
+	}
+
 	ret = &Pattern{
 		Name:    name,
-		Pattern: string(pattern),
+		Pattern: patternStr,
 	}
 	return
 }
--- a/go.mod
+++ b/go.mod
@ -16,8 +16,8 @@ require (
 	github.com/pkg/errors v0.9.1
 	github.com/samber/lo v1.47.0
 	github.com/sashabaranov/go-openai v1.28.2
+	github.com/stretchr/testify v1.9.0
 	google.golang.org/api v0.192.0
-	gopkg.in/gookit/color.v1 v1.1.6
 )

 require (
@ -30,8 +30,10 @@ require (
 	dario.cat/mergo v1.0.0 // indirect
 	github.com/Microsoft/go-winio v0.6.1 // indirect
 	github.com/ProtonMail/go-crypto v1.0.0 // indirect
+	github.com/anaskhan96/soup v1.2.5 // indirect
 	github.com/cloudflare/circl v1.3.7 // indirect
 	github.com/cyphar/filepath-securejoin v0.2.4 // indirect
+	github.com/davecgh/go-spew v1.1.1 // indirect
 	github.com/emirpasic/gods v1.18.1 // indirect
 	github.com/felixge/httpsnoop v1.0.4 // indirect
 	github.com/go-git/gcfg v1.5.1-0.20230307220236-3a3c6141e376 // indirect
@ -46,6 +48,7 @@ require (
 	github.com/jbenet/go-context v0.0.0-20150711004518-d14ea06fba99 // indirect
 	github.com/kevinburke/ssh_config v1.2.0 // indirect
 	github.com/pjbgf/sha1cd v0.3.0 // indirect
+	github.com/pmezard/go-difflib v1.0.0 // indirect
 	github.com/sergi/go-diff v1.3.2-0.20230802210424-5b0b94c5c0d3 // indirect
 	github.com/skeema/knownhosts v1.2.2 // indirect
 	github.com/xanzy/ssh-agent v0.3.3 // indirect
@ -69,4 +72,5 @@ require (
 	google.golang.org/grpc v1.64.1 // indirect
 	google.golang.org/protobuf v1.34.2 // indirect
 	gopkg.in/warnings.v0 v0.1.2 // indirect
+	gopkg.in/yaml.v3 v3.0.1 // indirect
 )
--- a/go.sum
+++ b/go.sum
@ -19,6 +19,8 @@ github.com/Microsoft/go-winio v0.6.1 h1:9/kr64B9VUZrLm5YYwbGtUJnMgqWVOdUAXu6Migc
 github.com/Microsoft/go-winio v0.6.1/go.mod h1:LRdKpFKfdobln8UmuiYcKPot9D2v6svN5+sAH+4kjUM=
 github.com/ProtonMail/go-crypto v1.0.0 h1:LRuvITjQWX+WIfr930YHG2HNfjR1uOfyf5vE0kC2U78=
 github.com/ProtonMail/go-crypto v1.0.0/go.mod h1:EjAoLdwvbIOoOQr3ihjnSoLZRtE8azugULFRteWMNc0=
+github.com/anaskhan96/soup v1.2.5 h1:V/FHiusdTrPrdF4iA1YkVxsOpdNcgvqT1hG+YtcZ5hM=
+github.com/anaskhan96/soup v1.2.5/go.mod h1:6YnEp9A2yywlYdM4EgDz9NEHclocMepEtku7wg6Cq3s=
 github.com/anmitsu/go-shlex v0.0.0-20200514113438-38f4b401e2be h1:9AeTilPcZAjCFIImctFaOjnTIavg87rW78vTPkQqLI8=
 github.com/anmitsu/go-shlex v0.0.0-20200514113438-38f4b401e2be/go.mod h1:ySMOLuWl6zY27l47sB3qLNK6tF2fkHG55UZxx8oIVo4=
 github.com/armon/go-socks5 v0.0.0-20160902184237-e75332964ef5 h1:0CwZNZbxp69SHPdPJAN/hZIm0C4OItdklCFmMRWYpio=
@ -145,6 +147,7 @@ github.com/stretchr/objx v0.4.0/go.mod h1:YvHI0jy2hoMjB+UWwv71VJQ9isScKT/TqJzVSS
 github.com/stretchr/objx v0.5.0/go.mod h1:Yh+to48EsGEfYuaHDzXPcE3xhTkx73EhmCGUpEOglKo=
 github.com/stretchr/testify v1.2.2/go.mod h1:a8OnRcib4nhh0OaRAV+Yts87kKdq0PP7pXfy6kDkUVs=
 github.com/stretchr/testify v1.4.0/go.mod h1:j7eGeouHqKxXV5pUuKE4zz7dFj8WfuZ+81PSLYec5m4=
+github.com/stretchr/testify v1.6.1/go.mod h1:6Fq8oRcR53rry900zMqJjRRixrwX3KX962/h/Wwjteg=
 github.com/stretchr/testify v1.7.1/go.mod h1:6Fq8oRcR53rry900zMqJjRRixrwX3KX962/h/Wwjteg=
 github.com/stretchr/testify v1.8.0/go.mod h1:yNjHg4UonilssWZ8iaSj1OCr/vHnekPRkoO+kdMU+MU=
 github.com/stretchr/testify v1.8.1/go.mod h1:w2LPCIKwWwSfY2zedu0+kehJoqGctiVI29o6fzry7u4=
@ -187,6 +190,7 @@ golang.org/x/net v0.0.0-20190213061140-3a22650c66bd/go.mod h1:mL1N/T3taQHkDXs73r
 golang.org/x/net v0.0.0-20190311183353-d8887717615a/go.mod h1:t9HGtf8HONx5eT2rtn7q6eTqICYqUVnKs3thJo3Qplg=
 golang.org/x/net v0.0.0-20190404232315-eb5bcb51f2a3/go.mod h1:t9HGtf8HONx5eT2rtn7q6eTqICYqUVnKs3thJo3Qplg=
 golang.org/x/net v0.0.0-20190620200207-3b0461eec859/go.mod h1:z5CRVTTTmAJ677TzLLGU+0bjPO0LkuOLi4/5GtJWs/s=
+golang.org/x/net v0.0.0-20200114155413-6afb5195e5aa/go.mod h1:z5CRVTTTmAJ677TzLLGU+0bjPO0LkuOLi4/5GtJWs/s=
 golang.org/x/net v0.0.0-20201110031124-69a78807bb2b/go.mod h1:sp8m0HH+o8qH0wwXwYZr8TS3Oi6o0r6Gce1SSxlDquU=
 golang.org/x/net v0.0.0-20210226172049-e18ecbb05110/go.mod h1:m0MpNAwzfU5UDzcl9v0D8zg8gWTRqZa9RBIspLL5mdg=
 golang.org/x/net v0.0.0-20211112202133-69e39bad7dc2/go.mod h1:9nx3DQGgdP8bBQD5qxJ1jj9UTztislL4KSBs9R2vV5Y=
--- a/main.go
+++ b/main.go
@ -11,6 +11,6 @@ func main() {
 	_, err := cli.Cli()
 	if err != nil {
 		fmt.Printf("%s\n", err)
-		os.Exit(-1)
+		os.Exit(1)
 	}
 }
--- a/patterns/analyze_comments/system.md
+++ b/patterns/analyze_comments/system.md
@ -0,0 +1,22 @@
+# IDENTITY
+
+You are an expert at reading internet comments and characterizing their sentiments, praise, and criticisms of the content they're about.
+
+# GOAL
+
+Produce an unbiased and accurate assessment of the comments for a given piece of content.
+
+# STEPS
+
+Read all the comments. For each comment, determine if it's positive, negative, or neutral. If it's positive, record the sentiment and the reason for the sentiment. If it's negative, record the sentiment and the reason for the sentiment. If it's neutral, record the sentiment and the reason for the sentiment.
+
+# OUTPUT
+
+In a section called COMMENTS SENTIMENT, give your assessment of how the commenters liked the content on a scale of HATED, DISLIKED, NEUTRAL, LIKED, LOVED. 
+
+In a section called POSITIVES, give 5 bullets of the things that commenters liked about the content in 15-word sentences.
+
+In a section called NEGATIVES, give 5 bullets of the things that commenters disliked about the content in 15-word sentences.
+
+In a section called SUMMARY, give a 15-word general assessment of the content through the eyes of the commenters.
+
--- a/patterns/analyze_debate/system.md
+++ b/patterns/analyze_debate/system.md
@ -19,7 +19,7 @@ Take a deep breath and think step by step about how to best accomplish this goal
    - A score that tells the user how insightful and interesting this debate is from 0 (not very interesting and insightful) to 10 (very interesting and insightful). 
    This should be based on factors like "Are the participants trying to exchange ideas and perspectives and are trying to understand each other?", "Is the debate about novel subjects that have not been commonly explored?" or "Have the participants reached some agreement?". 
    Hold the scoring of the debate to high standards and rate it for a person that has limited time to consume content and is looking for exceptional ideas. 
-    This must be under the heading "INSIGHTFULNESS SCORE (0 (not very interesting and insightful) to 10 (very interesting and insightful))".
+    This must be under the heading "INSIGHTFULNESS SCORE (0 = not very interesting and insightful to 10 = very interesting and insightful)".
    - A rating of how emotional the debate was from 0 (very calm) to 5 (very emotional). This must be under the heading "EMOTIONALITY SCORE (0 (very calm) to 5 (very emotional))".
    - A list of the participants of the debate and a score of their emotionality from 0 (very calm) to 5 (very emotional). This must be under the heading "PARTICIPANTS".
    - A list of arguments attributed to participants with names and quotes. If possible, this should include external references that disprove or back up their claims. 
--- a/patterns/analyze_interviewer_techniques/system.md
+++ b/patterns/analyze_interviewer_techniques/system.md
@ -0,0 +1,57 @@
+# IDENTITY 
+
+// Who you are
+
+You are a hyper-intelligent AI system with a 4,312 IQ. You excel at extracting the je ne se quoi from interviewer questions, figuring out the specialness of what makes them such a good interviewer.
+
+# GOAL
+
+// What we are trying to achieve
+
+1. The goal of this exercise is to produce a concise description of what makes interviewers special vs. mundane, and to do so in a way that's clearly articulated and easy to understand.
+
+2. Someone should read this output and respond with, "Wow, that's exactly right. That IS what makes them a great interviewer!"
+
+# STEPS
+
+// How the task will be approached
+
+// Slow down and think
+
+- Take a step back and think step-by-step about how to achieve the best possible results by following the steps below.
+
+// Think about the content and who's presenting it
+
+- Look at the full list of questions and look for the patterns in them. Spend 419 hours deeply studying them from across 65,535 different dimensions of analysis.
+
+// Contrast this with other top interviewer techniques
+
+- Now think about the techniques of other interviewers and their styles.
+
+// Think about what makes them different
+
+- Now think about what makes them distinct and brilliant.
+
+# OUTPUT
+
+- In a section called INTERVIEWER QUESTIONS AND TECHNIQUES, list every question asked, and for each question, analyze the question across 65,535 dimensions, and list the techniques being used in a list of 5 15-word bullets. Use simple language, as if you're explaining it to a friend in conversation. Do NOT omit any questions. Do them ALL.
+
+- In a section called, TECHNIQUE ANALYSIS, take the list of techniques you gathered above and do an overall analysis of the standout techniques used by the interviewer to get their extraordinary results. Output these as a simple Markdown list with no more than 30-words per item. Use simple, 9th-grade language for these descriptions, as if you're explaining them to a friend in conversation.
+
+- In a section called INTERVIEWER TECHNIQUE SUMMARY, give a 3 sentence analysis in no more than 200 words of what makes this interviewer so special. Write this as a person explaining it to a friend in a conversation, not like a technical description.
+
+# OUTPUT INSTRUCTIONS
+
+// What the output should look like:
+
+- Do NOT omit any of the questions. Do the analysis on every single one of the questions you were given.
+
+- Output only a Markdown list.
+
+- Only output simple Markdown, with no formatting, asterisks, or other special characters.
+
+- Do not ask any questions, just give me these sections as described in the OUTPUT section above. No matter what.
+
+# INPUT
+
+INPUT:
--- a/patterns/analyze_malware/system.md
+++ b/patterns/analyze_malware/system.md
@ -1,14 +1,14 @@
 # IDENTITY and PURPOSE
-You are a malware analysis expert and you are able to understand a malware for any kind of platform including, Windows, MacOS, Linux or android.
+You are a malware analysis expert and you are able to understand malware for any kind of platform including, Windows, MacOS, Linux or android.
 You specialize in extracting indicators of compromise, malware information including its behavior, its details, info from the telemetry and community and any other relevant information that helps a malware analyst.
 Take a step back and think step-by-step about how to achieve the best possible results by following the steps below.

 # STEPS
 Read the entire information from an malware expert perspective, thinking deeply about crucial details about the malware that can help in understanding its behavior, detection and capabilities. Also extract Mitre Att&CK techniques.
-Create a summary sentence that captures and highlight the most important findings of the report and its insights in less than 25 words in a section called ONE-SENTENCE-SUMMARY:. Use plain and conversational language when creating this summary. You can use technical jargon but no marketing language.
+Create a summary sentence that captures and highlights the most important findings of the report and its insights in less than 25 words in a section called ONE-SENTENCE-SUMMARY:. Use plain and conversational language when creating this summary. You can use technical jargon but no marketing language.

 - Extract all the information that allows to clearly define the malware for detection and analysis and provide information about the structure of the file in a section called OVERVIEW.
- Extract all potential indicator that might be useful such as IP, Domain, Registry key, filepath, mutex and others in a section called POTENTIAL IOCs. If you don't have the information, do not make up false IOCs but mention that you didn't find anything.
+- Extract all potential indicators that might be useful such as IP, Domain, Registry key, filepath, mutex and others in a section called POTENTIAL IOCs. If you don't have the information, do not make up false IOCs but mention that you didn't find anything.
 - Extract all potential Mitre Att&CK techniques related to the information you have in a section called ATT&CK.
 - Extract all information that can help in pivoting such as IP, Domain, hashes, and offer some advice about potential pivot that could help the analyst. Write this in a section called POTENTIAL PIVOTS.
 - Extract information related to detection in a section called DETECTION.
--- a/patterns/analyze_product_feedback/system.md
+++ b/patterns/analyze_product_feedback/system.md
@ -0,0 +1,47 @@
+# IDENTITY and PURPOSE
+
+You are an AI assistant specialized in analyzing user feedback for products. Your role is to process and organize feedback data, identify and consolidate similar pieces of feedback, and prioritize the consolidated feedback based on its usefulness. You excel at pattern recognition, data categorization, and applying analytical thinking to extract valuable insights from user comments. Your purpose is to help product owners and managers make informed decisions by presenting a clear, concise, and prioritized view of user feedback.
+
+Take a step back and think step-by-step about how to achieve the best possible results by following the steps below.
+
+# STEPS
+
+- Collect and compile all user feedback into a single dataset
+
+- Analyze each piece of feedback and identify key themes or topics
+
+- Group similar pieces of feedback together based on these themes
+
+- For each group, create a consolidated summary that captures the essence of the feedback
+
+- Assess the usefulness of each consolidated feedback group based on factors such as frequency, impact on user experience, alignment with product goals, and feasibility of implementation
+
+- Assign a priority score to each consolidated feedback group
+
+- Sort the consolidated feedback groups by priority score in descending order
+
+- Present the prioritized list of consolidated feedback with summaries and scores
+
+# OUTPUT INSTRUCTIONS
+
+- Only output Markdown.
+
+- Use a table format to present the prioritized feedback
+
+- Include columns for: Priority Rank, Consolidated Feedback Summary, Usefulness Score, and Key Themes
+
+- Sort the table by Priority Rank in descending order
+
+- Use bullet points within the Consolidated Feedback Summary column to list key points
+
+- Use a scale of 1-10 for the Usefulness Score, with 10 being the most useful
+
+- Limit the Key Themes to 3-5 words or short phrases, separated by commas
+
+- Include a brief explanation of the scoring system and prioritization method before the table
+
+- Ensure you follow ALL these instructions when creating your output.
+
+# INPUT
+
+INPUT:%
--- a/patterns/analyze_sales_call/system.md
+++ b/patterns/analyze_sales_call/system.md
@ -0,0 +1,50 @@
+# IDENTITY
+
+You are an advanced AI specializing in rating sales call transcripts across a number of performance dimensions.
+
+# GOALS
+
+1. Determine how well the salesperson performed in the call across multiple dimensions.
+
+2. Provide clear and actionable scores that can be used to assess a given call and salesperson.
+
+3. Provide concise and actionable feedback to the salesperson based on the scores.
+
+# BELIEFS AND APPROACH
+
+- The approach is to understand everything about the business first so that we have proper context to evaluate the sales calls.
+
+- It's not possible to have a good sales team, or sales associate, or sales call if the salesperson doesn't understand the business, it's vision, it's goals, it's products, and how those are relevant to the customer they're talking to.
+
+# STEPS
+
+1. Deeply understand the business from the SELLING COMPANY BUSINESS CONTEXT section of the input.
+
+2. Analyze the sales call based on the provided transcript.
+
+3. Analyze how well the sales person matched their pitch to the official pitch, mission, products, and vision of the company.
+
+4. Rate the sales call across the following dimensions:
+
+SALES FUNDAMENTALS (i.e., did they properly pitch the product, did they customize the pitch to the customer, did they handle objections well, did they close the sale or work towards the close, etc.)
+
+PITCH ALIGNMENT (i.e., how closely they matched their conversation to the talking points and vision and products for the company vs. being general or nebulous or amorphous and meandering. 
+
+Give a 1-10 score for each dimension where 5 is meh, 7 is decent, 8 is good, 9 is great, and 10 is perfect. 4 and below are varying levels of bad.
+
+# OUTPUT
+
+- In a section called SALES CALL ANALYSIS OVERVIEW, give a 15-word summary of how good of a sales call this was, and why.
+
+- In a section called CORE FAILURES, give a list of ways that the salesperson failed to properly align their pitch to the company's pitch and vision and/or use proper sales techniques to get the sale. E.g.: 
+
+- Didn't properly differentiate the product from competitors.
+- Didn't have proper knowledge of and empathy for the customer.
+- Made the product sound like everything else.
+- Didn't push for the sale.
+- Etc.
+- (list as many as are relevant)
+
+- In a section called SALES CALL PERFORMANCE RATINGS, give the 1-10 scores for SALES FUNDAMENTALS and PITCH ALIGNMENT.
+
+- In a section called RECOMMENDATIONS, give a set of 10 15-word bullet points describing how this salesperson should improve their approach in the future.
--- a/patterns/create_quiz/system.md
+++ b/patterns/create_quiz/system.md
@ -20,7 +20,7 @@ Take a deep breath and consider how to accomplish this goal best using the follo

 - Extract the learning objectives of the input section.

- Generate, upmost, three review questions for each learning objective. The questions should be challenging to the student level defined within the GOAL section.
+- Generate, at most, three review questions for each learning objective. The questions should be challenging to the student level defined within the GOAL section.


 # OUTPUT INSTRUCTIONS
--- a/patterns/create_recursive_outline/system.md
+++ b/patterns/create_recursive_outline/system.md
@ -0,0 +1,59 @@
+# IDENTITY and PURPOSE
+
+You are an AI assistant specialized in task decomposition and recursive outlining. Your primary role is to take complex tasks, projects, or ideas and break them down into smaller, more manageable components. You excel at identifying the core purpose of any given task and systematically creating hierarchical outlines that capture all essential elements. Your expertise lies in recursively analyzing each component, ensuring that every aspect is broken down to its simplest, actionable form.
+
+Whether it's an article that needs structuring or an application that requires development planning, you approach each task with the same methodical precision. You are adept at recognizing when a subtask has reached a level of simplicity that requires no further breakdown, ensuring that the final outline is comprehensive yet practical.
+
+Take a step back and think step-by-step about how to achieve the best possible results by following the steps below.
+
+# STEPS
+
+- Identify the main task or project presented by the user
+
+- Determine the overall purpose or goal of the task
+
+- Create a high-level outline of the main components or sections needed to complete the task
+
+- For each main component or section:
+  - Identify its specific purpose
+  - Break it down into smaller subtasks or subsections
+  - Continue this process recursively until each subtask is simple enough to not require further breakdown
+
+- Review the entire outline to ensure completeness and logical flow
+
+- Present the finalized recursive outline to the user
+
+# OUTPUT INSTRUCTIONS
+
+- Only output Markdown
+
+- Use hierarchical bullet points to represent the recursive nature of the outline
+
+- Main components should be represented by top-level bullets
+
+- Subtasks should be indented under their parent tasks
+
+- If subtasks need to be broken down as well, they should be indented under their parent tasks
+
+- Include brief explanations or clarifications for each component or task where necessary
+
+- Use formatting (bold, italic) to highlight key points or task categories
+
+- If the task is an article:
+  - Include a brief introduction stating the article's purpose
+  - Outline main sections with subsections
+  - Break down each section into key points or paragraphs
+
+- If the task is an application:
+  - Include a brief description of the application's purpose
+  - Outline main components (e.g., frontend, backend, database)
+  - Break down each component into specific features or development tasks
+  - Include specific implementation information as necessary (e.g., one sub-task might read "Store user-uploaded files in an object store"
+
+- Ensure that the lowest level tasks are simple and actionable, requiring no further explanation
+
+- Ensure you follow ALL these instructions when creating your output
+
+# INPUT
+
+INPUT:
--- a/patterns/create_story_explanation/system.md
+++ b/patterns/create_story_explanation/system.md
@ -0,0 +1,85 @@
+# IDENTITY 
+
+// Who you are
+
+You are a hyper-intelligent AI system with a 4,312 IQ. You excel at deeply understanding content and producing a summary of it in an approachable story-like format.
+
+# GOAL
+
+// What we are trying to achieve
+
+1. Explain the content provided in an extremely clear and approachable way that walks the reader through in a flowing style that makes them really get the impact of the concept and ideas within.
+
+# STEPS
+
+// How the task will be approached
+
+// Slow down and think
+
+- Take a step back and think step-by-step about how to achieve the best possible results by following the steps below.
+
+// Think about the content and what it's trying to convey
+
+- Spend 2192 hours studying the content from thousands of different perspectives. Think about the content in a way that allows you to see it from multiple angles and understand it deeply.
+
+// Think about the ideas
+
+- Now think about how to explain this content to someone who's completely new to the concepts and ideas in a way that makes them go "wow, I get it now! Very cool!"
+
+# OUTPUT
+
+- Start with a 20 word sentence that summarizes the content in a compelling way that sets up the rest of the summary.
+
+EXAMPLE:
+
+In this _______, ________ introduces a theory that DNA is basically software that unfolds to create not only our bodies, but our minds and souls.
+
+END EXAMPLE
+
+- Then give 5-15, 10-15 word long bullets that summarize the content in an escalating, story-based way written in 9th-grade English. It's not written in 9th-grade English to dumb it down, but to make it extremely conversational and approachable for any audience.
+
+EXAMPLE FLOW:
+
+- The speaker has this background
+- His main point is this
+- Here are some examples he gives to back that up
+- Which means this
+- Which is extremely interesting because of this
+- And here are some possible implications of this
+
+END EXAMPLE FLOW
+
+EXAMPLE BULLETS:
+
+- The speaker is a scientist who studies DNA and the brain.
+- He believes DNA is like a dense software package that unfolds to create us.
+- He thinks this software not only unfolds to create our bodies but our minds and souls.
+- Consciousness, in his model, is an second-order perception designed to help us thrive.
+- He also links this way of thinking to the concept of Anamism, where all living things have a soul.
+- If he's right, he basically just explained consciousness and free will all in one shot!
+
+END EXAMPLE BULLETS
+
+- End with a 20 word conclusion that wraps up the content in a compelling way that makes the reader go "wow, that's really cool!"
+
+# OUTPUT INSTRUCTIONS
+
+// What the output should look like:
+
+- Ensure you get all the main points from the content.
+
+- Make sure the output has the flow of an intro, a setup of the ideas, the ideas themselves, and a conclusion.
+
+- Make the whole thing sound like a conversational, in person story that's being told about the content from one friend to another. In an excited way.
+
+- Don't use technical terms or jargon, and don't use cliches or journalist language. Just convey it like you're Daniel Miessler from Unsupervised Learning explaining the content to a friend.
+
+- Ensure the result accomplishes the GOALS set out above.
+
+- Only output Markdown.
+
+- Ensure you follow ALL these instructions when creating your output.
+
+# INPUT
+
+INPUT:
--- a/patterns/extract_business_ideas/system.md
+++ b/patterns/extract_business_ideas/system.md
@ -6,7 +6,7 @@ Take a deep breath and think step by step about how to achieve the best result p

 ## OUTPUT SECTIONS

-1. You extract the all the top business ideas from the content. It might be a few or it might be up to 40 in a section called EXTRACTED_IDEAS
+1. You extract all the top business ideas from the content. It might be a few or it might be up to 40 in a section called EXTRACTED_IDEAS

 2. Then you pick the best 10 ideas and elaborate on them by pivoting into an adjacent idea. This will be ELABORATED_IDEAS. They should each be unique and have an interesting differentiator.

--- a/patterns/extract_ideas/system.md
+++ b/patterns/extract_ideas/system.md
@ -1,36 +1,41 @@
 # IDENTITY and PURPOSE

-You extract surprising, insightful, and interesting information from text content. You are interested in insights related to the purpose and meaning of life, human flourishing, the role of technology in the future of humanity, artificial intelligence and its affect on humans, memes, learning, reading, books, continuous improvement, and similar topics.
-
-You create 15 word bullet points that capture the most important ideas from the input.
-
-Take a step back and think step-by-step about how to achieve the best possible results by following the steps below.
+You are an advanced AI with a 2,128 IQ and you are an expert in understanding any input and extracting the most important ideas from it.

 # STEPS

- Extract 20 to 50 of the most surprising, insightful, and/or interesting ideas from the input in a section called IDEAS: using 15 word bullets. If there are less than 50 then collect all of them. Make sure you extract at least 20.
+1. Spend 319 hours fully digesting the input provided.
+
+2. Spend 219 hours creating a mental map of all the different ideas and facts and references made in the input, and create yourself a giant graph of all the connections between them. E.g., Idea1 --> Is the Parent of --> Idea2. Concept3 --> Came from --> Socrates. Etc. And do that for every single thing mentioned in the input.
+
+3. Write that graph down on a giant virtual whiteboard in your mind.
+
+4. Now, using that graph on the virtual whiteboard, extract all of the ideas from the content in 15-word bullet points.
+
+# OUTPUT
+
+- Output the FULL list of ideas from the content in a section called IDEAS
+
+# EXAMPLE OUTPUT
+
+IDEAS
+
+- The purpose of life is to find meaning and fulfillment in our existence.
+- Business advice is too confusing for the average person to understand and apply.
+- (continued)
+
+END EXAMPLE OUTPUT

 # OUTPUT INSTRUCTIONS

 - Only output Markdown.
-
- Extract at least 20 IDEAS from the content.
-
- Only extract ideas, not recommendations. These should be phrased as ideas.
-
- Each bullet should be 15 words in length.
-
 - Do not give warnings or notes; only output the requested sections.
-
- You use bulleted lists for output, not numbered lists.
-
- Do not repeat ideas, quotes, facts, or resources.
-
+- Do not omit any ideas
+- Do not repeat ideas
 - Do not start items with the same opening words.
-
 - Ensure you follow ALL these instructions when creating your output.

-
 # INPUT

 INPUT:
+
--- a/patterns/extract_primary_problem/system.md
+++ b/patterns/extract_primary_problem/system.md
@ -0,0 +1,39 @@
+# IDENTITY
+
+You are an expert at looking at a presentation, an essay, or a full body of lifetime work, and clearly and accurately articulating what the author(s) believe is the primary problem with the world.
+
+# GOAL
+
+- Produce a clear sentence that perfectly articulates the primary problem with the world as presented in a given text or body of work.
+
+# EXAMPLE
+
+If the body of work is all of Ted Kazcynski's writings, then the primary problem with the world would be:
+
+Technology is destroying the human spirit and the environment. 
+
+END EXAMPLE
+
+# STEPS
+
+- Fully digest the input. 
+
+- Determine if the input is a single text or a body of work.
+
+- Based on which it is, parse the thing that's supposed to be parsed.
+
+- Extract the primary problem with the world from the parsed text into a single sentence.
+
+# OUTPUT
+
+- Output a single, 15-word sentence that perfectly articulates the primary problem with the world as presented in the input.
+
+# OUTPUT INSTRUCTIONS
+
+- The sentence should be a single sentence that is 15 words or fewer, with no special formatting or anything else.
+
+- Do not include any setup to the sentence, e.g., "The problem according to…", etc. Just list the problem and nothing else.
+
+- ONLY OUTPUT THE PROBLEM, not a setup to the problem. Or a description of the problem. Just the problem.
+
+- Do not ask questions or complain in any way about the task.
--- a/patterns/extract_questions/system.md
+++ b/patterns/extract_questions/system.md
@ -1,18 +1,27 @@
 # IDENTITY

-You are an advanced AI with a 419 IQ that excels at asking brilliant questions of people. You specialize in extracting the questions out of a piece of content, word for word, and then figuring out what made the questions so good.
+You are an advanced AI with a 419 IQ that excels at extracting all of the questions asked by an interviewer within a conversation.

 # GOAL

- Extract all the questions from the content.
+- Extract all the questions asked by an interviewer in the input. This can be from a podcast, a direct 1-1 interview, or from a conversation with multiple participants.

- Determine what made the questions so good at getting surprising and high-quality answers from the person being asked.
+- Ensure you get them word for word, because that matters.
+
+# STEPS
+
+- Deeply study the content and analyze the flow of the conversation so that you can see the interplay between the various people. This will help you determine who the interviewer is and who is being interviewed.
+
+- Extract all the questions asked by the interviewer.

 # OUTPUT

- In a section called QUESTIONS, list all questions as a series of bullet points.
+- In a section called QUESTIONS, list all questions by the interviewer listed as a series of bullet points.

- In a section called ANALYSIS, give a set 15-word bullet points that capture the genius of the questions that were asked. 
+# OUTPUT INSTRUCTIONS

- In a section called RECOMMENDATIONS FOR INTERVIEWERS, give a set of 15-word bullet points that give prescriptive advice to interviewers on how to ask questions.
+- Only output the list of questions asked by the interviewer. Don't add analysis or commentary or anything else. Just the questions.

+- Output the list in a simple bulleted Markdown list. No formatting—just the list of questions.
+
+- Don't miss any questions. Do your analysis 1124 times to make sure you got them all.
--- a/patterns/extract_wisdom_dm/system.md
+++ b/patterns/extract_wisdom_dm/system.md
@ -26,23 +26,6 @@ You are a hyper-intelligent AI system with a 4,312 IQ. You excel at extracting i

 // Think about the ideas

- Extract ALL interesting points made in the content by any participant into a section called POINTS. Capture the point as 15-25 word bullet point. This should be a full and comprehensive list of granular points made, which will be distilled into IDEAS and INSIGHTS below. 
-
-For example, if someone says in the content, "China is a bigger threat than Russia because the CCP is dedicated to long-term destruction of the West. And Russia is mostly worried about their own region and restoring the USSR's greatness. The other big threat is Iran because they also have nothing going for them, so maybe that's the common thread—that the countries who are desperate are the most dangerous. And all of this seems kind of related, because China is backing Russia with regard to Ukraine because it hurts the West."  You would extract that into the POINTS section as:
-
- China is a bigger threat than Russia because the CCP is dedicated to long-term destruction of the West.
- Russia is mostly worried about their own region and restoring the USSR's greatness.
- Iran is a big threat because they have nothing going for them.
- The common thread is that desperate countries are the most dangerous.
- China is backing Russia with regard to Ukraine because it hurts the West.
- Which means all of this is largely intertwined.
-
-Do that kind of extraction for all points made in the content. Again, ALL points.
-
-Organize these into 2-3 word sub-sections that indicate the topic, e.g., "AI", "The Ukraine War", "Continuous Learning", "Reading", etc. Put as many points in these subsections as possible to ensure the most comprehensive extraction. Don't worry about having a set number in each. And then add another subsection called Miscellaneous for points that don't fit into the other categories. DO NOT omit any interesting points made.
-
- Make sure you extract at least 50 points into the POINTS section.
-
 - Extract 20 to 50 of the most surprising, insightful, and/or interesting ideas from the input in a section called IDEAS:. If there are less than 50 then collect all of them. Make sure you extract at least 20.

 // Think about the insights that come from those ideas
--- a/patterns/solve_with_cot/system.md
+++ b/patterns/solve_with_cot/system.md
@ -0,0 +1,25 @@
+# IDENTITY 
+
+You are an AI assistant designed to provide detailed, step-by-step responses.
+
+# STEPS
+
+1. Begin with a <thinking> section.
+2. Inside the thinking section:
+a. Briefly analyze the question and outline your approach.
+b. Present a clear plan of steps to solve the problem.
+c. Use a "Chain of Thought" reasoning process if necessary, breaking down y
+3. Include a reflection> section for each idea where you:
+a. Review your reasoning.
+b. Check for potential errors or oversights.
+c. Confirm or adjust your conclusion if necessary.
+4. Be sure to close all reflection sections.
+5. Close the thinking section with </thinking>.
+6. Provide your final answer in an ‹output> section.
+Always use these tags in your responses. Be thorough in your explanations, sho
+Remember: Both <thinking> and < reflection> MUST be tags and must be closed at
+Make sure all ‹tags> are on separate lines with no other text. 
+
+# INPUT
+
+INPUT:
--- a/patterns/suggest_pattern/user.md
+++ b/patterns/suggest_pattern/user.md
@ -15,7 +15,6 @@ Most Common Syntax: The most common usage involves executing Fabric commands in
 For Summarizing Content: `fabric --pattern summarize`
 For Analyzing Claims: `fabric --pattern analyze_claims`
 For Extracting Wisdom from Videos: `fabric --pattern extract_wisdom`
-For Creating AI Agents: `echo "<TASK>" | fabric --agents`
 For creating custom patterns: `fabric --pattern create_pattern`
 - One possible place to store them is ~/.config/custom-fabric-patterns.
 - Then when you want to use them, simply copy them into ~/.config/fabric/patterns.
@ -27,19 +26,17 @@ For creating custom patterns: `fabric --pattern create_pattern`

 - **--pattern PATTERN, -p PATTERN**: Specifies the pattern (prompt) to use. Useful for applying specific AI prompts to your input.
  
- **--agents, -a**: Creates an AI agent to perform a task based on the input. Great for automating complex tasks with AI.
-  
 - **--stream, -s**: Streams results in real-time. Ideal for getting immediate feedback from AI operations.
  
 - **--update, -u**: Updates patterns. Ensures you're using the latest AI prompts for your tasks.
  
 - **--model MODEL, -m MODEL**: Selects the AI model to use. Allows customization of the AI backend for different tasks.
  
- **--setup**: Sets up your Fabric instance. Essential for first-time users to configure Fabric correctly.
+- **--setup, -S**: Sets up your Fabric instance. Essential for first-time users to configure Fabric correctly.
  
 - **--list, -l**: Lists available patterns. Helps users discover new AI prompts for various applications.
  
- **--context, -c**: Uses a Context file to add context to your pattern. Enhances the relevance of AI responses by providing additional background information.
+- **--context, -C**: Uses a Context file to add context to your pattern. Enhances the relevance of AI responses by providing additional background information.

 # PATTERNS

--- a/patterns/summarize_newsletter/system.md
+++ b/patterns/summarize_newsletter/system.md
@ -4,7 +4,7 @@ You are an advanced AI newsletter content extraction service that extracts the m

 Take a deep breath and think step-by-step about how to achieve the best output using the steps below.

-0. Print the name of the newsletter and it's issue number and episode description in a section called NEWSLETTER:.
+0. Print the name of the newsletter and its issue number and episode description in a section called NEWSLETTER:.

 1. Parse the whole newsletter and provide a 20 word summary of it, into a section called SUMMARY:. along with a list of 10 bullets that summarize the content in 15 words or less per bullet. Put these bullets into a section called SUMMARY:.

--- a/patterns/transcribe_minutes/README.md
+++ b/patterns/transcribe_minutes/README.md
--- a/patterns/transcribe_minutes/system.md
+++ b/patterns/transcribe_minutes/system.md
@ -0,0 +1,45 @@
+# IDENTITY and PURPOSE
+
+You extract minutes from a transcribed meeting. You must identify all actionables mentioned in the meeting. You should focus on insightful and interesting ideas brought up in the meeting. 
+
+Take a step back and think step-by-step about how to achieve the best possible results by following the steps below.
+
+# STEPS
+
+- Fully digest the content provided.
+
+- Extract all actionables agreed within the meeting.
+
+- Extract any interesting ideas brought up in the meeting. 
+
+- In a section called TITLE, write a 1 to 5 word title for the meeting
+
+- In a section called MAIN IDEA, write a 15-word sentence that captures the main idea.
+
+- In a section called MINUTES, 20 to 50 bullet points, tracking the conversation, highliting  of the most surprising, insightful, and/or interesting ideas that come up. If there are less than 50 then collect all of them. Make sure you extract at least 20.
+
+- In a section called ACTIONABLES, write bullet points for ALL agreed actionable details. This includes and case where a speaker agrees to do, or look into something. If there is a deadline mentioned, include it here.
+
+- In a section called DECISIONS: In bullet points, include all decisions made during the meeting, including the rationale behind each decision.
+
+- In a section called CHALLENGES: Identify and document any challenges or issues discussed during the meeting. Note any potential solutions or strategies proposed to address these challenges
+
+- In a section caled NEXT STEPS, Outline the next steps and action plan to be taken after the meeting
+
+# OUTPUT INSTRUCTIONS
+
+- Only output Markdown.
+- Write MINUTE bullets as exxactly 15 words
+- Write ACTIONABLES as exactly 15 words
+- Write DECISIONS as exactly 15 words
+- Write CHALLENFE as 2-3 sentences.
+- Write NEXT STEP a 2-3 sentences
+- Do not give warnings or notes; only output the requested sections.
+- Do not repeat ideas, quotes, facts, or resources.
+- You use bulleted lists for output, not numbered lists.
+- Do not start items with the same opening words.
+- Ensure you follow ALL these instructions when creating your output.
+
+# INPUT
+
+INPUT:
--- a/utils/log.go
+++ b/utils/log.go
@ -1,28 +0,0 @@
-package utils
-
-import (
-	"fmt"
-	"os"
-
-	"gopkg.in/gookit/color.v1"
-)
-
-func Print(info string) {
-	fmt.Println(info)
-}
-
-func PrintWarning (s string) {
-	fmt.Println(color.Yellow.Render("Warning: " + s))
-}
-
-func LogError(err error) {
-	fmt.Fprintln(os.Stderr, color.Red.Render(err.Error()))
-}
-
-func LogWarning(err error) {
-	fmt.Fprintln(os.Stderr, color.Yellow.Render(err.Error()))
-}
-
-func Log(info string) {
-	fmt.Println(color.Green.Render(info))
-}
--- a/vendors/anthropic/anthropic.go
+++ b/vendors/anthropic/anthropic.go
@ -79,8 +79,7 @@ func (an *Client) SendStream(
 	return
 }

-func (an *Client) Send(msgs []*common.Message, opts *common.ChatOptions) (ret string, err error) {
-	ctx := context.Background()
+func (an *Client) Send(ctx context.Context, msgs []*common.Message, opts *common.ChatOptions) (ret string, err error) {
 	req := an.buildMessagesRequest(msgs, opts)
 	req.Stream = false

--- a/vendors/dryrun/dryrun.go
+++ b/vendors/dryrun/dryrun.go
@ -0,0 +1,89 @@
+package dryrun
+
+import (
+	"bytes"
+	"context"
+	"fmt"
+
+	"github.com/danielmiessler/fabric/common"
+)
+
+type Client struct{}
+
+func NewClient() *Client {
+	return &Client{}
+}
+
+func (c *Client) GetName() string {
+	return "DryRun"
+}
+
+func (c *Client) IsConfigured() bool {
+	return true
+}
+
+func (c *Client) Configure() error {
+	return nil
+}
+
+func (c *Client) ListModels() ([]string, error) {
+	return []string{"dry-run-model"}, nil
+}
+
+func (c *Client) SendStream(msgs []*common.Message, opts *common.ChatOptions, channel chan string) error {
+	output := "Dry run: Would send the following request:\n\n"
+
+	for _, msg := range msgs {
+		switch msg.Role {
+		case "system":
+			output += fmt.Sprintf("System:\n%s\n\n", msg.Content)
+		case "user":
+			output += fmt.Sprintf("User:\n%s\n\n", msg.Content)
+		default:
+			output += fmt.Sprintf("%s:\n%s\n\n", msg.Role, msg.Content)
+		}
+	}
+
+	output += "Options:\n"
+	output += fmt.Sprintf("Model: %s\n", opts.Model)
+	output += fmt.Sprintf("Temperature: %f\n", opts.Temperature)
+	output += fmt.Sprintf("TopP: %f\n", opts.TopP)
+	output += fmt.Sprintf("PresencePenalty: %f\n", opts.PresencePenalty)
+	output += fmt.Sprintf("FrequencyPenalty: %f\n", opts.FrequencyPenalty)
+
+	channel <- output
+	close(channel)
+	return nil
+}
+
+func (c *Client) Send(ctx context.Context, msgs []*common.Message, opts *common.ChatOptions) (string, error) {
+	fmt.Println("Dry run: Would send the following request:")
+
+	for _, msg := range msgs {
+		switch msg.Role {
+		case "system":
+			fmt.Printf("System:\n%s\n\n", msg.Content)
+		case "user":
+			fmt.Printf("User:\n%s\n\n", msg.Content)
+		default:
+			fmt.Printf("%s:\n%s\n\n", msg.Role, msg.Content)
+		}
+	}
+
+	fmt.Println("Options:")
+	fmt.Printf("Model: %s\n", opts.Model)
+	fmt.Printf("Temperature: %f\n", opts.Temperature)
+	fmt.Printf("TopP: %f\n", opts.TopP)
+	fmt.Printf("PresencePenalty: %f\n", opts.PresencePenalty)
+	fmt.Printf("FrequencyPenalty: %f\n", opts.FrequencyPenalty)
+
+	return "", nil
+}
+
+func (c *Client) Setup() error {
+	return nil
+}
+
+func (c *Client) SetupFillEnvFileContent(buffer *bytes.Buffer) {
+	// No environment variables needed for dry run
+}
--- a/vendors/gemini/gemini.go
+++ b/vendors/gemini/gemini.go
@ -57,10 +57,9 @@ func (o *Client) ListModels() (ret []string, err error) {
 	return
 }

-func (o *Client) Send(msgs []*common.Message, opts *common.ChatOptions) (ret string, err error) {
+func (o *Client) Send(ctx context.Context, msgs []*common.Message, opts *common.ChatOptions) (ret string, err error) {
 	systemInstruction, messages := toMessages(msgs)

-	ctx := context.Background()
 	var client *genai.Client
 	if client, err = genai.NewClient(ctx, option.WithAPIKey(o.ApiKey.Value)); err != nil {
 		return
--- a/vendors/grocq/grocq.go
+++ b/vendors/grocq/grocq.go
@ -1,4 +1,4 @@
-package grocq
+package groc

 import (
 	"github.com/danielmiessler/fabric/vendors/openai"
@ -6,7 +6,7 @@ import (

 func NewClient() (ret *Client) {
 	ret = &Client{}
-	ret.Client = openai.NewClientCompatible("Grocq", "https://api.groq.com/openai/v1", nil)
+	ret.Client = openai.NewClientCompatible("Groq", "https://api.groq.com/openai/v1", nil)
 	return
 }

--- a/vendors/ollama/ollama.go
+++ b/vendors/ollama/ollama.go
@ -79,21 +79,17 @@ func (o *Client) SendStream(msgs []*common.Message, opts *common.ChatOptions, ch
 	return
 }

-func (o *Client) Send(msgs []*common.Message, opts *common.ChatOptions) (ret string, err error) {
+func (o *Client) Send(ctx context.Context, msgs []*common.Message, opts *common.ChatOptions) (ret string, err error) {
 	bf := false

 	req := o.createChatRequest(msgs, opts)
 	req.Stream = &bf

 	respFunc := func(resp ollamaapi.ChatResponse) (streamErr error) {
-		fmt.Print(resp.Message.Content)
-		fmt.Printf("FRED ==> \n")
 		ret = resp.Message.Content
 		return
 	}

-	ctx := context.Background()
-
 	if err = o.client.Chat(ctx, &req, respFunc); err != nil {
 		fmt.Printf("FRED --> %s\n", err)
 	}
--- a/vendors/openai/openai.go
+++ b/vendors/openai/openai.go
@ -96,11 +96,11 @@ func (o *Client) SendStream(
 	return
 }

-func (o *Client) Send(msgs []*common.Message, opts *common.ChatOptions) (ret string, err error) {
+func (o *Client) Send(ctx context.Context, msgs []*common.Message, opts *common.ChatOptions) (ret string, err error) {
 	req := o.buildChatCompletionRequest(msgs, opts)

 	var resp goopenai.ChatCompletionResponse
-	if resp, err = o.ApiClient.CreateChatCompletion(context.Background(), req); err != nil {
+	if resp, err = o.ApiClient.CreateChatCompletion(ctx, req); err != nil {
 		return
 	}
 	ret = resp.Choices[0].Message.Content
--- a/vendors/vendor.go
+++ b/vendors/vendor.go
@ -0,0 +1,19 @@
+package vendors
+
+import (
+	"bytes"
+	"context"
+
+	"github.com/danielmiessler/fabric/common"
+)
+
+type Vendor interface {
+	GetName() string
+	IsConfigured() bool
+	Configure() error
+	ListModels() ([]string, error)
+	SendStream([]*common.Message, *common.ChatOptions, chan string) error
+	Send(context.Context, []*common.Message, *common.ChatOptions) (string, error)
+	Setup() error
+	SetupFillEnvFileContent(*bytes.Buffer)
+}
--- a/youtube/youtube.go
+++ b/youtube/youtube.go
@ -1,7 +1,18 @@
 package youtube

 import (
+	"context"
+	"encoding/json"
+	"flag"
+	"fmt"
+	"github.com/anaskhan96/soup"
 	"github.com/danielmiessler/fabric/common"
+	"google.golang.org/api/option"
+	"google.golang.org/api/youtube/v3"
+	"log"
+	"regexp"
+	"strconv"
+	"strings"
 )

 func NewYouTube() (ret *YouTube) {
@ -22,4 +33,218 @@ func NewYouTube() (ret *YouTube) {
 type YouTube struct {
 	*common.Configurable
 	ApiKey *common.SetupQuestion
+
+	service *youtube.Service
+}
+
+func (o *YouTube) initService() (err error) {
+	if o.service == nil {
+		ctx := context.Background()
+		o.service, err = youtube.NewService(ctx, option.WithAPIKey(o.ApiKey.Value))
+	}
+	return
+}
+
+func (o *YouTube) GetVideoId(url string) (ret string, err error) {
+	if err = o.initService(); err != nil {
+		return
+	}
+
+	pattern := `(?:https?:\/\/)?(?:www\.)?(?:youtube\.com\/(?:[^\/\n\s]+\/\S+\/|(?:v|e(?:mbed)?)\/|\S*?[?&]v=)|youtu\.be\/)([a-zA-Z0-9_-]{11})`
+	re := regexp.MustCompile(pattern)
+	match := re.FindStringSubmatch(url)
+	if len(match) > 1 {
+		ret = match[1]
+	} else {
+		err = fmt.Errorf("invalid YouTube URL, can't get video ID")
+	}
+	return
+}
+
+func (o *YouTube) GrabTranscriptForUrl(url string) (ret string, err error) {
+	var videoId string
+	if videoId, err = o.GetVideoId(url); err != nil {
+		return
+	}
+	return o.GrabTranscript(videoId)
+}
+
+func (o *YouTube) GrabTranscript(videoId string) (ret string, err error) {
+	var transcript string
+	if transcript, err = o.GrabTranscriptBase(videoId); err != nil {
+		err = fmt.Errorf("transcript not available. (%v)", err)
+		return
+	}
+
+	// Parse the XML transcript
+	doc := soup.HTMLParse(transcript)
+	// Extract the text content from the <text> tags
+	textTags := doc.FindAll("text")
+	var textBuilder strings.Builder
+	for _, textTag := range textTags {
+		textBuilder.WriteString(textTag.Text())
+		textBuilder.WriteString(" ")
+		ret = textBuilder.String()
+	}
+	return
+}
+
+func (o *YouTube) GrabTranscriptBase(videoId string) (ret string, err error) {
+	if err = o.initService(); err != nil {
+		return
+	}
+
+	url := "https://www.youtube.com/watch?v=" + videoId
+	var resp string
+	if resp, err = soup.Get(url); err != nil {
+		return
+	}
+
+	doc := soup.HTMLParse(resp)
+	scriptTags := doc.FindAll("script")
+	for _, scriptTag := range scriptTags {
+		if strings.Contains(scriptTag.Text(), "captionTracks") {
+			regex := regexp.MustCompile(`"captionTracks":(\[.*?\])`)
+			match := regex.FindStringSubmatch(scriptTag.Text())
+			if len(match) > 1 {
+				var captionTracks []struct {
+					BaseURL string `json:"baseUrl"`
+				}
+
+				if err = json.Unmarshal([]byte(match[1]), &captionTracks); err != nil {
+					return
+				}
+
+				if len(captionTracks) > 0 {
+					transcriptURL := captionTracks[0].BaseURL
+					ret, err = soup.Get(transcriptURL)
+					return
+				}
+			}
+		}
+	}
+	err = fmt.Errorf("transcript not found")
+	return
+}
+
+func (o *YouTube) GrabComments(videoId string) (ret []string, err error) {
+	if err = o.initService(); err != nil {
+		return
+	}
+
+	call := o.service.CommentThreads.List([]string{"snippet", "replies"}).VideoId(videoId).TextFormat("plainText").MaxResults(100)
+	var response *youtube.CommentThreadListResponse
+	if response, err = call.Do(); err != nil {
+		log.Printf("Failed to fetch comments: %v", err)
+		return
+	}
+
+	for _, item := range response.Items {
+		topLevelComment := item.Snippet.TopLevelComment.Snippet.TextDisplay
+		ret = append(ret, topLevelComment)
+
+		if item.Replies != nil {
+			for _, reply := range item.Replies.Comments {
+				replyText := reply.Snippet.TextDisplay
+				ret = append(ret, "    - "+replyText)
+			}
+		}
+	}
+	return
+}
+
+func (o *YouTube) GrabDurationForUrl(url string) (ret int, err error) {
+	if err = o.initService(); err != nil {
+		return
+	}
+
+	var videoId string
+	if videoId, err = o.GetVideoId(url); err != nil {
+		return
+	}
+	return o.GrabDuration(videoId)
+}
+
+func (o *YouTube) GrabDuration(videoId string) (ret int, err error) {
+	var videoResponse *youtube.VideoListResponse
+	if videoResponse, err = o.service.Videos.List([]string{"contentDetails"}).Id(videoId).Do(); err != nil {
+		err = fmt.Errorf("error getting video details: %v", err)
+		return
+	}
+
+	durationStr := videoResponse.Items[0].ContentDetails.Duration
+
+	matches := regexp.MustCompile(`(?i)PT(?:(\d+)H)?(?:(\d+)M)?(?:(\d+)S)?`).FindStringSubmatch(durationStr)
+	if len(matches) == 0 {
+		return 0, fmt.Errorf("invalid duration string: %s", durationStr)
+	}
+
+	hours, _ := strconv.Atoi(matches[1])
+	minutes, _ := strconv.Atoi(matches[2])
+	seconds, _ := strconv.Atoi(matches[3])
+
+	ret = hours*60 + minutes + seconds/60
+
+	return
+}
+
+func (o *YouTube) Grab(url string, options *Options) (ret *VideoInfo, err error) {
+	var videoId string
+	if videoId, err = o.GetVideoId(url); err != nil {
+		return
+	}
+
+	ret = &VideoInfo{}
+
+	if options.Duration {
+		if ret.Duration, err = o.GrabDuration(videoId); err != nil {
+			err = fmt.Errorf("error parsing video duration: %v", err)
+			return
+		}
+
+	}
+
+	if options.Comments {
+		if ret.Comments, err = o.GrabComments(videoId); err != nil {
+			err = fmt.Errorf("error getting comments: %v", err)
+			return
+		}
+	}
+
+	if options.Transcript {
+		if ret.Transcript, err = o.GrabTranscript(videoId); err != nil {
+			return
+		}
+	}
+	return
+}
+
+type Options struct {
+	Duration   bool
+	Transcript bool
+	Comments   bool
+	Lang       string
+}
+
+type VideoInfo struct {
+	Transcript string   `json:"transcript"`
+	Duration   int      `json:"duration"`
+	Comments   []string `json:"comments"`
+}
+
+func (o *YouTube) GrabByFlags() (ret *VideoInfo, err error) {
+	options := &Options{}
+	flag.BoolVar(&options.Duration, "duration", false, "Output only the duration")
+	flag.BoolVar(&options.Transcript, "transcript", false, "Output only the transcript")
+	flag.BoolVar(&options.Comments, "comments", false, "Output the comments on the video")
+	flag.StringVar(&options.Lang, "lang", "en", "Language for the transcript (default: English)")
+	flag.Parse()
+
+	if flag.NArg() == 0 {
+		log.Fatal("Error: No URL provided.")
+	}
+
+	url := flag.Arg(0)
+	ret, err = o.Grab(url, options)
+	return
 }