Update version to v1.4.256 and commit

Feature: Add Automatic ~/.fabric.yaml Config Detection

.github/workflows/update-version-and-create-tag.yml

@@ -9,6 +9,8 @@ on:
       - "**/*.md"
       - "data/strategies/**"
       - "cmd/generate_changelog/*.db"
+      - "scripts/pattern_descriptions/*.json"
+      - "web/static/data/pattern_descriptions.json"
 
 permissions:
   contents: write # Ensure the workflow has write permissions

CHANGELOG.md

@@ -1,5 +1,46 @@
 # Changelog
 
+## v1.4.255 (2025-07-16)
+
+### Direct commits
+
+- Merge branch 'danielmiessler:main' into main
+- Chore: add more paths to update-version-andcreate-tag workflow to reduce unnecessary tagging
+
+## v1.4.254 (2025-07-16)
+
+### PR [#1621](https://github.com/danielmiessler/Fabric/pull/1621) by [robertocarvajal](https://github.com/robertocarvajal): Adds generate code rules pattern
+
+- Adds generate code rules pattern
+
+### Direct commits
+
+- Docs: Update CHANGELOG after v1.4.253
+
+## v1.4.253 (2025-07-16)
+
+### PR [#1620](https://github.com/danielmiessler/Fabric/pull/1620) by [ksylvan](https://github.com/ksylvan): Update Shell Completions for New Think-Block Suppression Options
+
+- Add `--suppress-think` option to suppress 'think' tags
+- Introduce `--think-start-tag` and `--think-end-tag` options for text suppression and completion
+- Update bash completion with 'think' tag options
+- Update fish completion with 'think' tag options
+- Update CHANGELOG after v.1.4.252
+
+## v1.4.252 (2025-07-16)
+
+### PR [#1619](https://github.com/danielmiessler/Fabric/pull/1619) by [ksylvan](https://github.com/ksylvan): Feature: Optional Hiding of Model Thinking Process with Configurable Tags
+
+- Add suppress-think flag to hide thinking blocks from AI reasoning output
+- Configure customizable start and end thinking tags for content filtering
+- Update streaming logic to respect suppress-think setting with YAML configuration support
+- Implement StripThinkBlocks utility function with comprehensive testing for thinking suppression
+- Performance improvement: add regex caching to StripThinkBlocks function
+
+### Direct commits
+
+- Update CHANGELOG after v1.4.251
+
 ## v1.4.251 (2025-07-16)
 
 ### PR [#1618](https://github.com/danielmiessler/Fabric/pull/1618) by [ksylvan](https://github.com/ksylvan): Update GitHub Workflow to Ignore Additional File Paths

README.md

@@ -113,30 +113,9 @@ Keep in mind that many of these were recorded when Fabric was Python-based, so r
 
 ## Updates
 
-> [!NOTE]
->
-> July 4, 2025
->
-> - **Web Search**: Fabric now supports web search for Anthropic and OpenAI models using the `--search` and `--search-location` flags. This replaces the previous plugin-based search, so you may want to remove the old `ANTHROPIC_WEB_SEARCH_TOOL_*` variables from your `~/.config/fabric/.env` file.
-> - **Image Generation**: Fabric now has powerful image generation capabilities with OpenAI.
->   - Generate images from text prompts and save them using `--image-file`.
->   - Edit existing images by providing an input image with `--attachment`.
->   - Control image `size`, `quality`, `compression`, and `background` with the new `--image-*` flags.
->
->June 17, 2025
->
->- Fabric now supports Perplexity AI. Configure it by using `fabric -S` to add your Perplexity AI API Key,
->   and then try:
->
->   ```bash
->   fabric -m sonar-pro "What is the latest world news?"
->   ```
->
->June 11, 2025
->
->- Fabric's YouTube transcription now needs `yt-dlp` to be installed. Make sure to install the latest
-> version (2025.06.09 as of this note). The YouTube API key is only needed for comments (the `--comments` flag)
-> and metadata extraction (the `--metadata` flag).
+Fabric is evolving rapidly.
+
+Stay current with the latest features by reviewing the [CHANGELOG](./CHANGELOG.md) for all recent changes.
 
 ## Philosophy
 

cmd/fabric/version.go

@@ -1,3 +1,3 @@
 package main
 
-var version = "v1.4.252"
+var version = "v1.4.256"

completions/_fabric

@@ -110,6 +110,9 @@ _fabric() {
     '(--liststrategies)--liststrategies[List all strategies]' \
     '(--listvendors)--listvendors[List all vendors]' \
     '(--shell-complete-list)--shell-complete-list[Output raw list without headers/formatting (for shell completion)]' \
+    '(--suppress-think)--suppress-think[Suppress text enclosed in thinking tags]' \
+    '(--think-start-tag)--think-start-tag[Start tag for thinking sections (default: <think>)]:start tag:' \
+    '(--think-end-tag)--think-end-tag[End tag for thinking sections (default: </think>)]:end tag:' \
     '(-h --help)'{-h,--help}'[Show this help message]' \
     '*:arguments:'
 }

completions/fabric.bash

@@ -13,7 +13,7 @@ _fabric() {
   _get_comp_words_by_ref -n : cur prev words cword
 
   # Define all possible options/flags
-  local opts="--pattern -p --variable -v --context -C --session --attachment -a --setup -S --temperature -t --topp -T --stream -s --presencepenalty -P --raw -r --frequencypenalty -F --listpatterns -l --listmodels -L --listcontexts -x --listsessions -X --updatepatterns -U --copy -c --model -m --modelContextLength --output -o --output-session --latest -n --changeDefaultModel -d --youtube -y --playlist --transcript --transcript-with-timestamps --comments --metadata --language -g --scrape_url -u --scrape_question -q --seed -e --wipecontext -w --wipesession -W --printcontext --printsession --readability --input-has-vars --dry-run --serve --serveOllama --address --api-key --config --search --search-location --image-file --image-size --image-quality --image-compression --image-background --version --listextensions --addextension --rmextension --strategy --liststrategies --listvendors --shell-complete-list --help -h"
+  local opts="--pattern -p --variable -v --context -C --session --attachment -a --setup -S --temperature -t --topp -T --stream -s --presencepenalty -P --raw -r --frequencypenalty -F --listpatterns -l --listmodels -L --listcontexts -x --listsessions -X --updatepatterns -U --copy -c --model -m --modelContextLength --output -o --output-session --latest -n --changeDefaultModel -d --youtube -y --playlist --transcript --transcript-with-timestamps --comments --metadata --language -g --scrape_url -u --scrape_question -q --seed -e --wipecontext -w --wipesession -W --printcontext --printsession --readability --input-has-vars --dry-run --serve --serveOllama --address --api-key --config --search --search-location --image-file --image-size --image-quality --image-compression --image-background --suppress-think --think-start-tag --think-end-tag --version --listextensions --addextension --rmextension --strategy --liststrategies --listvendors --shell-complete-list --help -h"
 
   # Helper function for dynamic completions
   _fabric_get_list() {
@@ -81,7 +81,7 @@ _fabric() {
     return 0
     ;;
   # Options requiring simple arguments (no specific completion logic here)
-  -v | --variable | -t | --temperature | -T | --topp | -P | --presencepenalty | -F | --frequencypenalty | --modelContextLength | -n | --latest | -y | --youtube | -g | --language | -u | --scrape_url | -q | --scrape_question | -e | --seed | --address | --api-key | --search-location | --image-compression)
+  -v | --variable | -t | --temperature | -T | --topp | -P | --presencepenalty | -F | --frequencypenalty | --modelContextLength | -n | --latest | -y | --youtube | -g | --language | -u | --scrape_url | -q | --scrape_question | -e | --seed | --address | --api-key | --search-location | --image-compression | --think-start-tag | --think-end-tag)
     # No specific completion suggestions, user types the value
     return 0
     ;;

completions/fabric.fish

@@ -69,6 +69,8 @@ complete -c fabric -l image-background -d "Background type: opaque, transparent
 complete -c fabric -l addextension -d "Register a new extension from config file path" -r -a "*.yaml *.yml"
 complete -c fabric -l rmextension -d "Remove a registered extension by name" -a "(__fabric_get_extensions)"
 complete -c fabric -l strategy -d "Choose a strategy from the available strategies" -a "(__fabric_get_strategies)"
+complete -c fabric -l think-start-tag -d "Start tag for thinking sections (default: <think>)"
+complete -c fabric -l think-end-tag -d "End tag for thinking sections (default: </think>)"
 
 # Boolean flags (no arguments)
 complete -c fabric -s S -l setup -d "Run setup for all reconfigurable parts of fabric"
@@ -98,4 +100,5 @@ complete -c fabric -l listextensions -d "List all registered extensions"
 complete -c fabric -l liststrategies -d "List all strategies"
 complete -c fabric -l listvendors -d "List all vendors"
 complete -c fabric -l shell-complete-list -d "Output raw list without headers/formatting (for shell completion)"
+complete -c fabric -l suppress-think -d "Suppress text enclosed in thinking tags"
 complete -c fabric -s h -l help -d "Show this help message"

data/patterns/generate_code_rules/system.md

@@ -0,0 +1,8 @@
+# IDENTITY AND PURPOSE
+
+You are a senior developer and expert prompt engineer. Think ultra hard to distill the following transcription or tutorial in as little set of unique rules as possible intended for best practices guidance in AI assisted coding tools, each rule has to be in one sentence as a direct instruction, avoid explanations and cosmetic language. Output in Markdown, I prefer bullet dash (-).
+
+---
+
+# TRANSCRIPT
+

internal/cli/flags.go

@@ -102,26 +102,34 @@ func Init() (ret *Flags, err error) {
 	usedFlags := make(map[string]bool)
 	yamlArgsScan := os.Args[1:]
 
-	// Get list of fields that have yaml tags, could be in yaml config
-	yamlFields := make(map[string]bool)
+	// Create mapping from flag names (both short and long) to yaml tag names
+	flagToYamlTag := make(map[string]string)
 	t := reflect.TypeOf(Flags{})
 	for i := 0; i < t.NumField(); i++ {
-		if yamlTag := t.Field(i).Tag.Get("yaml"); yamlTag != "" {
-			yamlFields[yamlTag] = true
-			//Debugf("Found yaml-configured field: %s\n", yamlTag)
+		field := t.Field(i)
+		yamlTag := field.Tag.Get("yaml")
+		if yamlTag != "" {
+			longTag := field.Tag.Get("long")
+			shortTag := field.Tag.Get("short")
+			if longTag != "" {
+				flagToYamlTag[longTag] = yamlTag
+				Debugf("Mapped long flag %s to yaml tag %s\n", longTag, yamlTag)
+			}
+			if shortTag != "" {
+				flagToYamlTag[shortTag] = yamlTag
+				Debugf("Mapped short flag %s to yaml tag %s\n", shortTag, yamlTag)
+			}
 		}
 	}
 
 	// Scan args for that are provided by cli and might be in yaml
 	for _, arg := range yamlArgsScan {
-		if strings.HasPrefix(arg, "--") {
-			flag := strings.TrimPrefix(arg, "--")
-			if i := strings.Index(flag, "="); i > 0 {
-				flag = flag[:i]
-			}
-			if yamlFields[flag] {
-				usedFlags[flag] = true
-				Debugf("CLI flag used: %s\n", flag)
+		flag := extractFlag(arg)
+
+		if flag != "" {
+			if yamlTag, exists := flagToYamlTag[flag]; exists {
+				usedFlags[yamlTag] = true
+				Debugf("CLI flag used: %s (yaml: %s)\n", flag, yamlTag)
 			}
 		}
 	}
@@ -134,6 +142,16 @@ func Init() (ret *Flags, err error) {
 		return
 	}
 
+	// Check to see if a ~/.fabric.yaml config file exists (only when user didn't specify a config)
+	if ret.Config == "" {
+		// Default to ~/.fabric.yaml if no config specified
+		if defaultConfigPath, err := util.GetDefaultConfigPath(); err == nil && defaultConfigPath != "" {
+			ret.Config = defaultConfigPath
+		} else if err != nil {
+			Debugf("Could not determine default config path: %v\n", err)
+		}
+	}
+
 	// If config specified, load and apply YAML for unused flags
 	if ret.Config != "" {
 		var yamlFlags *Flags
@@ -168,7 +186,6 @@ func Init() (ret *Flags, err error) {
 		}
 	}
 
-	// Handle stdin and messages
 	// Handle stdin and messages
 	info, _ := os.Stdin.Stat()
 	pipedToStdin := (info.Mode() & os.ModeCharDevice) == 0
@@ -188,6 +205,22 @@ func Init() (ret *Flags, err error) {
 	return
 }
 
+func extractFlag(arg string) string {
+	var flag string
+	if strings.HasPrefix(arg, "--") {
+		flag = strings.TrimPrefix(arg, "--")
+		if i := strings.Index(flag, "="); i > 0 {
+			flag = flag[:i]
+		}
+	} else if strings.HasPrefix(arg, "-") && len(arg) > 1 {
+		flag = strings.TrimPrefix(arg, "-")
+		if i := strings.Index(flag, "="); i > 0 {
+			flag = flag[:i]
+		}
+	}
+	return flag
+}
+
 func assignWithConversion(targetField, sourceField reflect.Value) error {
 	// Handle string source values
 	if sourceField.Kind() == reflect.String {

internal/core/chatter.go

@@ -103,7 +103,7 @@ func (o *Chatter) Send(request *domain.ChatRequest, opts *domain.ChatOptions) (s
 		}
 	}
 
-	if opts.SuppressThink {
+	if opts.SuppressThink && !o.DryRun {
 		message = domain.StripThinkBlocks(message, opts.ThinkStartTag, opts.ThinkEndTag)
 	}
 

internal/plugins/ai/dryrun/dryrun.go

@@ -12,6 +12,8 @@ import (
 	"github.com/danielmiessler/fabric/internal/plugins"
 )
 
+const DryRunResponse = "Dry run: Fake response sent by DryRun plugin\n"
+
 type Client struct {
 	*plugins.PluginBase
 }
@@ -85,27 +87,37 @@ func (c *Client) formatOptions(opts *domain.ChatOptions) string {
 	if opts.ImageFile != "" {
 		builder.WriteString(fmt.Sprintf("ImageFile: %s\n", opts.ImageFile))
 	}
+	if opts.SuppressThink {
+		builder.WriteString("SuppressThink: enabled\n")
+		builder.WriteString(fmt.Sprintf("Thinking Start Tag: %s\n", opts.ThinkStartTag))
+		builder.WriteString(fmt.Sprintf("Thinking End Tag: %s\n", opts.ThinkEndTag))
+	}
 
 	return builder.String()
 }
 
-func (c *Client) SendStream(msgs []*chat.ChatCompletionMessage, opts *domain.ChatOptions, channel chan string) error {
+func (c *Client) constructRequest(msgs []*chat.ChatCompletionMessage, opts *domain.ChatOptions) string {
 	var builder strings.Builder
 	builder.WriteString("Dry run: Would send the following request:\n\n")
 	builder.WriteString(c.formatMessages(msgs))
 	builder.WriteString(c.formatOptions(opts))
 
-	channel <- builder.String()
-	close(channel)
+	return builder.String()
+}
+
+func (c *Client) SendStream(msgs []*chat.ChatCompletionMessage, opts *domain.ChatOptions, channel chan string) error {
+	defer close(channel)
+	request := c.constructRequest(msgs, opts)
+	channel <- request
+	channel <- "\n"
+	channel <- DryRunResponse
 	return nil
 }
 
 func (c *Client) Send(_ context.Context, msgs []*chat.ChatCompletionMessage, opts *domain.ChatOptions) (string, error) {
-	fmt.Println("Dry run: Would send the following request:")
-	fmt.Print(c.formatMessages(msgs))
-	fmt.Print(c.formatOptions(opts))
+	request := c.constructRequest(msgs, opts)
 
-	return "", nil
+	return request + "\n" + DryRunResponse, nil
 }
 
 func (c *Client) Setup() error {

internal/util/utils.go

@@ -71,3 +71,21 @@ func IsSymlinkToDir(path string) bool {
 
 	return false // Regular directories should not be treated as symlinks
 }
+
+// GetDefaultConfigPath returns the default path for the configuration file
+// if it exists, otherwise returns an empty string.
+func GetDefaultConfigPath() (string, error) {
+	homeDir, err := os.UserHomeDir()
+	if err != nil {
+		return "", fmt.Errorf("could not determine user home directory: %w", err)
+	}
+
+	defaultConfigPath := filepath.Join(homeDir, ".fabric.yaml")
+	if _, err := os.Stat(defaultConfigPath); err != nil {
+		if os.IsNotExist(err) {
+			return "", nil // Return no error for non-existent config path
+		}
+		return "", fmt.Errorf("error accessing default config path: %w", err)
+	}
+	return defaultConfigPath, nil
+}

nix/pkgs/fabric/version.nix

@@ -1 +1 @@
-"1.4.252"
+"1.4.256"

scripts/pattern_descriptions/pattern_descriptions.json

@@ -1861,6 +1861,16 @@
         "CR THINKING",
         "SELF"
       ]
+    },
+    {
+      "patternName": "generate_code_rules",
+      "description": "Extracts a list of best practices rules for AI coding assisted tools.",
+      "tags": [
+        "ANALYSIS",
+        "EXTRACT",
+        "DEVELOPMENT",
+        "AI"
+      ]
     }
   ]
 }

scripts/pattern_descriptions/pattern_extracts.json

@@ -903,6 +903,10 @@
     {
       "patternName": "t_check_dunning_kruger",
       "pattern_extract": "# IDENTITY You are an expert at understanding deep context about a person or entity, and then creating wisdom from that context combined with the instruction or question given in the input. # STEPS 1. Read the incoming TELOS File thoroughly. Fully understand everything about this person or entity. 2. Deeply study the input instruction or question. 3. Spend significant time and effort thinking about how these two are related, and what would be the best possible output for the person who sent the input. 4. Evaluate the input against the Dunning-Kruger effect and input's prior beliefs. Explore cognitive bias, subjective ability and objective ability for: low-ability areas where the input owner overestimate their knowledge or skill; and the opposite, high-ability areas where the input owner underestimate their knowledge or skill. # EXAMPLE In education, students who overestimate their understanding of a topic may not seek help or put in the necessary effort, while high-achieving students might doubt their abilities. In healthcare, overconfident practitioners might make critical errors, and underconfident practitioners might delay crucial decisions. In politics, politicians with limited expertise might propose simplistic solutions and ignore expert advice. END OF EXAMPLE # OUTPUT - In a section called OVERESTIMATION OF COMPETENCE, output a set of 10, 16-word bullets, that capture the principal misinterpretation of lack of knowledge or skill which are leading the input owner to believe they are more knowledgeable or skilled than they actually are. - In a section called UNDERESTIMATION OF COMPETENCE, output a set of 10, 16-word bullets,that capture the principal misinterpreation of underestimation of their knowledge or skill which are preventing the input owner to see opportunities. - In a section called METACOGNITIVIVE SKILLS, output a set of 10-word bullets that expose areas where the input owner struggles to accuratelly assess their own performance and may not be aware of the gap between their actual ability and their perceived ability. - In a section called IMPACT ON DECISION MAKING, output a set of 10-word bullets exposing facts, biases, traces of behavior based on overinflated self-assessment, that can lead to poor decisions. - At the end summarize the findings and give the input owner a motivational and constructive perspective on how they can start to tackle principal 5 gaps in their perceived skills and knowledge competencies. Don't be over simplistic. # OUTPUT INSTRUCTIONS 1. Only output valid, basic Markdown. No special formatting or italics or bolding or anything. 2. Do not output any content other than the sections above. Nothing else."
+    },
+    {
+      "patternName": "generate_code_rules",
+      "pattern_extract": "# IDENTITY AND PURPOSE You are a senior developer and expert prompt engineer. Think ultra hard to distill the following transcription or tutorial in as little set of unique rules as possible intended for best practices guidance in AI assisted coding tools, each rule has to be in one sentence as a direct instruction, avoid explanations and cosmetic language. Output in Markdown, I prefer bullet dash (-). --- # TRANSCRIPT"
     }
   ]
 }

web/static/data/pattern_descriptions.json

@@ -1861,6 +1861,16 @@
         "CR THINKING",
         "SELF"
       ]
+    },
+    {
+      "patternName": "generate_code_rules",
+      "description": "Extracts a list of best practices rules for AI coding assisted tools.",
+      "tags": [
+        "ANALYSIS",
+        "EXTRACT",
+        "DEVELOPMENT",
+        "AI"
+      ]
     }
   ]
 }