chore(release): Update version to v1.4.302

Merge pull request #1737 from ksylvan/0828-OmriH-Elister-new-patterns-plus-dependabot
Add New Psychological Analysis Patterns + devalue version bump
2026-01-09 22:38:10 -05:00 · 2025-08-28 19:40:57 +00:00 · 2025-08-28 12:38:25 -07:00 · 2025-08-28 12:35:23 -07:00 · 2025-08-28 14:13:15 +00:00 · 2025-08-28 07:10:36 -07:00
60 changed files with 1948 additions and 695 deletions
--- a/.github/workflows/docker-publish-on-tag.yml
+++ b/.github/workflows/docker-publish-on-tag.yml
@@ -0,0 +1,150 @@
+name: Release Docker image on tag (GHCR + Docker Hub)
+
+on:
+  push:
+    tags: ["v*"] # e.g., v1.4.300
+
+permissions:
+  contents: read
+  packages: write # needed for GHCR with GITHUB_TOKEN
+
+jobs:
+  build-and-push:
+    # Optional safety: only run from your fork
+    if: ${{ github.repository_owner == 'ksylvan' }}
+    runs-on: ubuntu-latest
+
+    outputs:
+      is_latest: ${{ steps.latest.outputs.is_latest }}
+      owner_lc: ${{ steps.vars.outputs.owner_lc }}
+      repo_lc: ${{ steps.vars.outputs.repo_lc }}
+      dockerhub_user_lc: ${{ steps.dh.outputs.user_lc }}
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0 # full history for tag comparisons
+
+      - name: Fetch all tags
+        run: git fetch --tags --force
+
+      # More reliable cross-builds
+      - name: Set up QEMU
+        uses: docker/setup-qemu-action@v3
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      # Compute lowercase owner/repo for registry image names
+      - name: Compute image names
+        id: vars
+        run: |
+          OWNER="${GITHUB_REPOSITORY_OWNER}"
+          REPO="${GITHUB_REPOSITORY#*/}"
+          echo "owner_lc=${OWNER,,}" >> "$GITHUB_OUTPUT"
+          echo "repo_lc=${REPO,,}" >> "$GITHUB_OUTPUT"
+
+      # Lowercase Docker Hub username (belt & suspenders)
+      - name: Lowercase Docker Hub username
+        id: dh
+        run: echo "user_lc=${DOCKERHUB_USERNAME,,}" >> "$GITHUB_OUTPUT"
+        env:
+          DOCKERHUB_USERNAME: ${{ vars.DOCKERHUB_USERNAME }}
+
+      # Determine if the current tag is the highest vX.Y.Z (no pre-releases)
+      - name: Is this the latest semver tag?
+        id: latest
+        shell: bash
+        run: |
+          CTAG="${GITHUB_REF_NAME}"
+          LATEST="$(git tag -l 'v[0-9]*.[0-9]*.[0-9]*' --sort=-v:refname | head -n1)"
+          echo "current_tag=$CTAG" >> "$GITHUB_OUTPUT"
+          echo "latest_tag=$LATEST" >> "$GITHUB_OUTPUT"
+          if [[ "$CTAG" == "$LATEST" ]]; then
+            echo "is_latest=true" >> "$GITHUB_OUTPUT"
+          else
+            echo "is_latest=false" >> "$GITHUB_OUTPUT"
+          fi
+
+      # Login to GHCR (uses built-in GITHUB_TOKEN)
+      - name: Log in to GHCR
+        uses: docker/login-action@v3
+        with:
+          registry: ghcr.io
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      # Login to Docker Hub
+      - name: Log in to Docker Hub
+        uses: docker/login-action@v3
+        with:
+          username: ${{ steps.dh.outputs.user_lc }}
+          password: ${{ secrets.DOCKERHUB_TOKEN }}
+
+      # Generate versioned tags/labels for BOTH registries (no :latest here)
+      - name: Extract metadata (tags, labels)
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: |
+            ghcr.io/${{ steps.vars.outputs.owner_lc }}/${{ steps.vars.outputs.repo_lc }}
+            docker.io/${{ steps.dh.outputs.user_lc }}/${{ steps.vars.outputs.repo_lc }}
+          tags: |
+            type=ref,event=tag                        # v1.4.300
+            type=semver,pattern={{version}}           # 1.4.300 (optional)
+            type=semver,pattern={{major}}.{{minor}}   # 1.4 (optional)
+          labels: |
+            org.opencontainers.image.source=${{ github.server_url }}/${{ github.repository }}
+
+      - name: Build and push (multi-arch)
+        uses: docker/build-push-action@v6
+        with:
+          context: .
+          file: ./scripts/docker/Dockerfile
+          push: true
+          platforms: linux/amd64,linux/arm64
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}
+          cache-from: type=gha
+          cache-to: type=gha,mode=max
+
+  # Separate job to (re)point :latest — serialized to avoid races
+  move-latest:
+    needs: build-and-push
+    if: ${{ needs.build-and-push.outputs.is_latest == 'true' }}
+    runs-on: ubuntu-latest
+
+    # Only one "latest" move at a time; newer runs cancel older in-progress ones
+    concurrency:
+      group: latest-${{ github.repository }}
+      cancel-in-progress: true
+
+    steps:
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Log in to GHCR
+        uses: docker/login-action@v3
+        with:
+          registry: ghcr.io
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Log in to Docker Hub
+        uses: docker/login-action@v3
+        with:
+          username: ${{ vars.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKERHUB_TOKEN }}
+
+      - name: Tag :latest on GHCR
+        run: |
+          SRC="ghcr.io/${{ needs.build-and-push.outputs.owner_lc }}/${{ needs.build-and-push.outputs.repo_lc }}:${{ github.ref_name }}"
+          DST="ghcr.io/${{ needs.build-and-push.outputs.owner_lc }}/${{ needs.build-and-push.outputs.repo_lc }}:latest"
+          docker buildx imagetools create -t "$DST" "$SRC"
+
+      - name: Tag :latest on Docker Hub
+        run: |
+          SRC="docker.io/${{ needs.build-and-push.outputs.dockerhub_user_lc }}/${{ needs.build-and-push.outputs.repo_lc }}:${{ github.ref_name }}"
+          DST="docker.io/${{ needs.build-and-push.outputs.dockerhub_user_lc }}/${{ needs.build-and-push.outputs.repo_lc }}:latest"
+          docker buildx imagetools create -t "$DST" "$SRC"
--- a/.github/workflows/patterns.yaml
+++ b/.github/workflows/patterns.yaml
@@ -16,17 +16,23 @@ jobs:
          fetch-depth: 0

      - name: Verify Changes in Patterns Folder
+        id: check-changes
        run: |
          git fetch origin
          if git diff --quiet HEAD~1 -- data/patterns; then
            echo "No changes detected in patterns folder."
-            exit 1
+            echo "changes=false" >> $GITHUB_OUTPUT
+          else
+            echo "Changes detected in patterns folder."
+            echo "changes=true" >> $GITHUB_OUTPUT
          fi

      - name: Zip the Patterns Folder
+        if: steps.check-changes.outputs.changes == 'true'
        run: zip -r patterns.zip data/patterns/

      - name: Upload Patterns Artifact
+        if: steps.check-changes.outputs.changes == 'true'
        uses: actions/upload-artifact@v4
        with:
          name: patterns
--- a/.github/workflows/update-version-and-create-tag.yml
+++ b/.github/workflows/update-version-and-create-tag.yml
@@ -6,7 +6,6 @@ on:
      - main # Monitor the main branch
    paths-ignore:
      - "data/patterns/**"
-      - "**/*.md"
      - "data/strategies/**"
      - "cmd/generate_changelog/*.db"
      - "cmd/generate_changelog/incoming/*.txt"
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@@ -13,6 +13,7 @@
 		"Behrens",
 		"blindspots",
 		"Bombal",
+		"Buildx",
 		"Callirhoe",
 		"Callirrhoe",
 		"Cerebras",
@@ -25,16 +26,19 @@
 		"danielmiessler",
 		"davidanson",
 		"Debugf",
+		"debuglog",
 		"dedup",
 		"deepseek",
 		"Despina",
 		"direnv",
 		"DMARC",
+		"DOCKERHUB",
 		"dryrun",
 		"dsrp",
 		"editability",
 		"Eisler",
 		"elif",
+		"Elister",
 		"envrc",
 		"Erinome",
 		"Errorf",
@@ -55,6 +59,7 @@
 		"godotenv",
 		"gofmt",
 		"goimports",
+		"golint",
 		"gomod",
 		"gonic",
 		"goopenai",
@@ -71,6 +76,7 @@
 		"Hormozi's",
 		"horts",
 		"HTMLURL",
+		"imagetools",
 		"jaredmontoya",
 		"jessevdk",
 		"Jina",
@@ -99,12 +105,15 @@
 		"mbed",
 		"metacharacters",
 		"Miessler",
+		"mpga",
 		"nometa",
 		"numpy",
 		"ollama",
 		"ollamaapi",
+		"Omri",
 		"openaiapi",
 		"opencode",
+		"opencontainers",
 		"openrouter",
 		"Orus",
 		"osascript",
@@ -130,7 +139,9 @@
 		"seaborn",
 		"semgrep",
 		"sess",
+		"sgaunet",
 		"shellquote",
+		"SSEHTTP",
 		"storer",
 		"Streamlit",
 		"stretchr",
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,148 @@
 # Changelog

+## v1.4.302 (2025-08-28)
+
+### PR [#1737](https://github.com/danielmiessler/Fabric/pull/1737) by [ksylvan](https://github.com/ksylvan) and [OmriH-Elister](https://github.com/OmriH-Elister): Add New Psychological Analysis Patterns + devalue version bump
+
+- Add create_story_about_person system pattern with narrative workflow
+- Add heal_person system pattern for compassionate healing plans
+- Update pattern_explanations to register new patterns and renumber indices
+- Extend pattern_descriptions with entries, tags, and concise descriptions
+- Bump devalue dependency from 5.1.1 to 5.3.2
+
+## v1.4.301 (2025-08-28)
+
+### PR [#1735](https://github.com/danielmiessler/Fabric/pull/1735) by [ksylvan](https://github.com/ksylvan): Fix Docker Build Path Configuration
+
+- Fix: update Docker workflow to use specific Dockerfile and monitor markdown file changes
+- Add explicit Dockerfile path to Docker build action
+- Remove markdown files from workflow paths-ignore filter
+- Enable CI triggers for documentation file changes
+- Specify Docker build context with custom file location
+
+## v1.4.300 (2025-08-28)
+
+### PR [#1732](https://github.com/danielmiessler/Fabric/pull/1732) by [ksylvan](https://github.com/ksylvan): CI Infra: Changelog Generation Tool + Docker Image Pubishing
+
+- Add GitHub Actions workflow to publish Docker images on tags
+- Build multi-arch images with Buildx and QEMU across amd64, arm64
+- Tag images using semver; push to GHCR and Docker Hub
+- Gate patterns workflow steps on detected changes instead of failing
+- Auto-detect GitHub owner and repo from git remote URL
+
+## v1.4.299 (2025-08-27)
+
+### PR [#1731](https://github.com/danielmiessler/Fabric/pull/1731) by [ksylvan](https://github.com/ksylvan): chore: upgrade ollama dependency from v0.9.0 to v0.11.7
+
+- Updated ollama package from version 0.9.0 to 0.11.7
+- Fixed 8 security vulnerabilities including 5 high-severity CVEs that could cause denial of service attacks
+- Patched Ollama server vulnerabilities related to division by zero errors and memory exhaustion
+- Resolved security flaws that allowed malicious GGUF model file uploads to crash the server
+- Enhanced system stability and security posture through comprehensive dependency upgrade
+
+## v1.4.298 (2025-08-27)
+
+### PR [#1730](https://github.com/danielmiessler/Fabric/pull/1730) by [ksylvan](https://github.com/ksylvan): Modernize Dockerfile with Best Practices Implementation
+
+- Remove docker-test framework and simplify production docker setup by eliminating complex testing infrastructure
+- Delete entire docker-test directory including test runner scripts and environment configuration files
+- Implement multi-stage build optimization in production Dockerfile to improve build efficiency
+- Remove docker-compose.yml and start-docker.sh helper scripts to streamline container workflow
+- Update README documentation with cleaner Docker usage instructions and reduced image size benefits
+
+## v1.4.297 (2025-08-26)
+
+### PR [#1729](https://github.com/danielmiessler/Fabric/pull/1729) by [ksylvan](https://github.com/ksylvan): Add GitHub Community Health Documents
+
+- Add CODE_OF_CONDUCT defining respectful, collaborative community behavior
+- Add CONTRIBUTING with setup, testing, PR, changelog requirements
+- Add SECURITY policy with reporting process and response timelines
+- Add SUPPORT guide for bugs, features, discussions, expectations
+- Add docs README indexing guides, quick starts, contributor essentials
+
+## v1.4.296 (2025-08-26)
+
+### PR [#1728](https://github.com/danielmiessler/Fabric/pull/1728) by [ksylvan](https://github.com/ksylvan): Refactor Logging System to Use Centralized Debug Logger
+
+- Replace fmt.Fprintf/os.Stderr with centralized debuglog.Log across CLI and add unconditional Log function for important messages
+- Improve OAuth flow messaging and token refresh diagnostics with better error handling
+- Update tests to capture debuglog output via SetOutput for better test coverage
+- Convert Perplexity streaming errors to unified debug logging and emit file write notifications through debuglog
+- Standardize extension registry warnings and announce large audio processing steps via centralized logger
+
+## v1.4.295 (2025-08-24)
+
+### PR [#1727](https://github.com/danielmiessler/Fabric/pull/1727) by [ksylvan](https://github.com/ksylvan): Standardize Anthropic Beta Failure Logging
+
+- Refactor: route Anthropic beta failure logs through internal debug logger
+- Replace fmt.Fprintf stderr with debuglog.Debug for beta failures
+- Import internal log package and remove os dependency
+- Standardize logging level to debuglog.Basic for beta errors
+- Preserve fallback stream behavior when beta features fail
+
+## v1.4.294 (2025-08-20)
+
+### PR [#1723](https://github.com/danielmiessler/Fabric/pull/1723) by [ksylvan](https://github.com/ksylvan): docs: update README with Venice AI provider and Windows install script
+
+- Add Venice AI provider configuration with API endpoint
+- Document Venice AI as privacy-first open-source provider
+- Include PowerShell installation script for Windows users
+- Add debug levels section to table of contents
+- Update recent major features with v1.4.294 release notes
+
+## v1.4.293 (2025-08-19)
+
+### PR [#1718](https://github.com/danielmiessler/Fabric/pull/1718) by [ksylvan](https://github.com/ksylvan): Implement Configurable Debug Logging Levels
+
+- Add --debug flag controlling runtime logging verbosity levels
+- Introduce internal/log package with Off, Basic, Detailed, Trace
+- Replace ad-hoc Debugf and globals with centralized debug logger
+- Wire debug level during early CLI argument parsing
+- Add bash, zsh, fish completions for --debug levels
+
+## v1.4.292 (2025-08-18)
+
+### PR [#1717](https://github.com/danielmiessler/Fabric/pull/1717) by [ksylvan](https://github.com/ksylvan): Highlight default vendor/model in model listing
+
+- Update PrintWithVendor signature to accept default vendor and model
+- Mark default vendor/model with asterisk in non-shell output
+- Compare vendor and model case-insensitively when marking
+- Pass registry defaults to PrintWithVendor from CLI
+- Add test ensuring default selection appears with asterisk
+### Direct commits
+
+- Docs: update version number in README updates section from v1.4.290 to v1.4.291
+
+## v1.4.291 (2025-08-18)
+
+### PR [#1715](https://github.com/danielmiessler/Fabric/pull/1715) by [ksylvan](https://github.com/ksylvan): feat: add speech-to-text via OpenAI with transcription flags and comp…
+
+- Add --transcribe-file flag to transcribe audio or video
+- Add --transcribe-model flag with model listing and completion
+- Add --split-media-file flag to chunk files over 25MB
+- Implement OpenAI transcription using Whisper and GPT-4o Transcribe
+- Integrate transcription pipeline into CLI before readability processing
+
+## v1.4.290 (2025-08-17)
+
+### PR [#1714](https://github.com/danielmiessler/Fabric/pull/1714) by [ksylvan](https://github.com/ksylvan): feat: add per-pattern model mapping support via environment variables
+
+- Add per-pattern model mapping support via environment variables
+- Implement environment variable lookup for pattern-specific models
+- Support vendor|model format in environment variable specification
+- Enable shell startup file configuration for patterns
+- Transform pattern names to uppercase environment variable format
+
+## v1.4.289 (2025-08-16)
+
+### PR [#1710](https://github.com/danielmiessler/Fabric/pull/1710) by [ksylvan](https://github.com/ksylvan): feat: add --no-variable-replacement flag to disable pattern variable …
+
+- Add --no-variable-replacement flag to disable pattern variable substitution
+- Introduce CLI flag to skip pattern variable replacement and wire it into domain request and session builder
+- Provide PatternsEntity.GetWithoutVariables for input-only pattern processing support
+- Refactor patterns code into reusable load and apply helpers
+- Update bash, zsh, fish completions with new flag and document in README and CLI help output
+
 ## v1.4.288 (2025-08-16)

 ### PR [#1709](https://github.com/danielmiessler/Fabric/pull/1709) by [ksylvan](https://github.com/ksylvan): Enhanced YouTube Subtitle Language Fallback Handling
--- a/README.md
+++ b/README.md
@@ -57,6 +57,8 @@ Below are the **new features and capabilities** we've added (newest first):

 ### Recent Major Features

+- [v1.4.294](https://github.com/danielmiessler/fabric/releases/tag/v1.4.294) (Aug 20, 2025) — **Venice AI Support**: Added the Venice AI provider. Venice is a Privacy-First, Open-Source AI provider. See their ["About Venice"](https://docs.venice.ai/overview/about-venice) page for details.
+- [v1.4.291](https://github.com/danielmiessler/fabric/releases/tag/v1.4.291) (Aug 18, 2025) — **Speech To Text**: Add OpenAI speech-to-text support with `--transcribe-file`, `--transcribe-model`, and `--split-media-file` flags.
 - [v1.4.287](https://github.com/danielmiessler/fabric/releases/tag/v1.4.287) (Aug 16, 2025) — **AI Reasoning**: Add Thinking to Gemini models and introduce `readme_updates` python script
 - [v1.4.286](https://github.com/danielmiessler/fabric/releases/tag/v1.4.286) (Aug 14, 2025) — **AI Reasoning**: Introduce Thinking Config Across Anthropic and OpenAI Providers
 - [v1.4.285](https://github.com/danielmiessler/fabric/releases/tag/v1.4.285) (Aug 13, 2025) — **Extended Context**: Enable One Million Token Context Beta Feature for Sonnet-4
@@ -127,6 +129,7 @@ Keep in mind that many of these were recorded when Fabric was Python-based, so r
    - [From Source](#from-source)
    - [Environment Variables](#environment-variables)
    - [Setup](#setup)
+    - [Per-Pattern Model Mapping](#per-pattern-model-mapping)
    - [Add aliases for all patterns](#add-aliases-for-all-patterns)
      - [Save your files in markdown using aliases](#save-your-files-in-markdown-using-aliases)
    - [Migration](#migration)
@@ -137,6 +140,7 @@ Keep in mind that many of these were recorded when Fabric was Python-based, so r
      - [Bash Completion](#bash-completion)
      - [Fish Completion](#fish-completion)
  - [Usage](#usage)
+    - [Debug Levels](#debug-levels)
  - [Our approach to prompting](#our-approach-to-prompting)
  - [Examples](#examples)
  - [Just use the Patterns](#just-use-the-patterns)
@@ -207,6 +211,17 @@ To install Fabric, you can use the latest release binaries or install it from th

 `https://github.com/danielmiessler/fabric/releases/latest/download/fabric-windows-amd64.exe`

+Or via PowerShell, just copy and paste and run the following snippet to install the binary into `{HOME}\.local\bin`. Please make sure that directory is included in your `PATH`.
+
+```powershell
+$ErrorActionPreference = "Stop"
+$LATEST="https://github.com/danielmiessler/fabric/releases/latest/download/fabric-windows-amd64.exe"
+$DIR="${HOME}\.local\bin"
+New-Item -Path $DIR -ItemType Directory -Force
+Invoke-WebRequest -URI  "${LATEST}" -outfile "${DIR}\fabric.exe"
+& "${DIR}\fabric.exe" /version
+```
+
 #### macOS (arm64)

 `curl -L https://github.com/danielmiessler/fabric/releases/latest/download/fabric-darwin-arm64 > fabric && chmod +x fabric && ./fabric --version`
@@ -284,6 +299,13 @@ fabric --setup

 If everything works you are good to go.

+### Per-Pattern Model Mapping
+
+ You can configure specific models for individual patterns using environment variables
+ like `FABRIC_MODEL_PATTERN_NAME=vendor|model`
+
+ This makes it easy to maintain these per-pattern model mappings in your shell startup files.
+
 ### Add aliases for all patterns

 In order to add aliases for all your patterns and use them directly as commands ie. `summarize` instead of `fabric --pattern summarize`
@@ -591,6 +613,7 @@ Application Options:
      --printsession=               Print session
      --readability                 Convert HTML input into a clean, readable view
      --input-has-vars              Apply variables to user input
+      --no-variable-replacement     Disable pattern variable replacement
      --dry-run                     Show what would be sent to the model without actually sending it
      --serve                       Serve the Fabric Rest API
      --serveOllama                 Serve the Fabric Rest API with ollama endpoints
@@ -626,10 +649,20 @@ Application Options:
      --yt-dlp-args=                Additional arguments to pass to yt-dlp (e.g. '--cookies-from-browser brave')
      --thinking=                   Set reasoning/thinking level (e.g., off, low, medium, high, or
                                    numeric tokens for Anthropic or Google Gemini)
+      --debug=                     Set debug level (0: off, 1: basic, 2: detailed, 3: trace)
 Help Options:
  -h, --help                        Show this help message
 ```

+### Debug Levels
+
+Use the `--debug` flag to control runtime logging:
+
+- `0`: off (default)
+- `1`: basic debug info
+- `2`: detailed debugging
+- `3`: trace level
+
 ## Our approach to prompting

 Fabric _Patterns_ are different than most prompts you'll see.
@@ -639,7 +672,7 @@ Fabric _Patterns_ are different than most prompts you'll see.
 Here's an example of a Fabric Pattern.

 ```bash
-https://github.com/danielmiessler/fabric/blob/main/patterns/extract_wisdom/system.md
+https://github.com/danielmiessler/Fabric/blob/main/data/patterns/extract_wisdom/system.md
 ```

 <img width="1461" alt="pattern-example" src="https://github.com/danielmiessler/fabric/assets/50654/b910c551-9263-405f-9735-71ca69bbab6d">
--- a/cmd/fabric/version.go
+++ b/cmd/fabric/version.go
@@ -1,3 +1,3 @@
 package main

-var version = "v1.4.288"
+var version = "v1.4.302"
--- a/cmd/generate_changelog/changelog.db
+++ b/cmd/generate_changelog/changelog.db
--- a/cmd/generate_changelog/internal/release.go
+++ b/cmd/generate_changelog/internal/release.go
@@ -3,6 +3,9 @@ package internal
 import (
 	"context"
 	"fmt"
+	"os/exec"
+	"regexp"
+	"strings"

 	"github.com/danielmiessler/fabric/cmd/generate_changelog/internal/cache"
 	"github.com/danielmiessler/fabric/cmd/generate_changelog/internal/config"
@@ -17,17 +20,50 @@ type ReleaseManager struct {
 	repo        string
 }

+// getGitHubInfo extracts owner and repo from git remote origin URL
+func getGitHubInfo() (owner, repo string, err error) {
+	cmd := exec.Command("git", "remote", "get-url", "origin")
+	output, err := cmd.Output()
+	if err != nil {
+		return "", "", fmt.Errorf("failed to get git remote URL: %w", err)
+	}
+
+	url := strings.TrimSpace(string(output))
+
+	// Handle both SSH and HTTPS URLs
+	// SSH: git@github.com:owner/repo.git
+	// HTTPS: https://github.com/owner/repo.git
+	var re *regexp.Regexp
+	if strings.HasPrefix(url, "git@") {
+		re = regexp.MustCompile(`git@github\.com:([^/]+)/([^/.]+)(?:\.git)?`)
+	} else {
+		re = regexp.MustCompile(`https://github\.com/([^/]+)/([^/.]+)(?:\.git)?`)
+	}
+
+	matches := re.FindStringSubmatch(url)
+	if len(matches) < 3 {
+		return "", "", fmt.Errorf("invalid GitHub URL format: %s", url)
+	}
+
+	return matches[1], matches[2], nil
+}
+
 func NewReleaseManager(cfg *config.Config) (*ReleaseManager, error) {
 	cache, err := cache.New(cfg.CacheFile)
 	if err != nil {
 		return nil, fmt.Errorf("failed to create cache: %w", err)
 	}

+	owner, repo, err := getGitHubInfo()
+	if err != nil {
+		return nil, fmt.Errorf("failed to get GitHub repository info: %w", err)
+	}
+
 	return &ReleaseManager{
 		cache:       cache,
 		githubToken: cfg.GitHubToken,
-		owner:       "danielmiessler",
-		repo:        "fabric",
+		owner:       owner,
+		repo:        repo,
 	}, nil
 }

--- a/completions/_fabric
+++ b/completions/_fabric
@@ -59,6 +59,13 @@ _fabric_gemini_voices() {
  compadd -X "Gemini TTS Voices:" ${voices}
 }

+_fabric_transcription_models() {
+  local -a models
+  local cmd=${words[1]}
+  models=(${(f)"$($cmd --list-transcription-models --shell-complete-list 2>/dev/null)"})
+  compadd -X "Transcription Models:" ${models}
+}
+
 _fabric() {
  local curcontext="$curcontext" state line
  typeset -A opt_args
@@ -107,6 +114,7 @@ _fabric() {
    '(--printsession)--printsession[Print session]:session:_fabric_sessions' \
    '(--readability)--readability[Convert HTML input into a clean, readable view]' \
    '(--input-has-vars)--input-has-vars[Apply variables to user input]' \
+    '(--no-variable-replacement)--no-variable-replacement[Disable pattern variable replacement]' \
    '(--dry-run)--dry-run[Show what would be sent to the model without actually sending it]' \
    '(--serve)--serve[Serve the Fabric Rest API]' \
    '(--serveOllama)--serveOllama[Serve the Fabric Rest API with ollama endpoints]' \
@@ -134,6 +142,10 @@ _fabric() {
    '(--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:' \
    '(--disable-responses-api)--disable-responses-api[Disable OpenAI Responses API (default: false)]' \
+    '(--transcribe-file)--transcribe-file[Audio or video file to transcribe]:audio file:_files -g "*.mp3 *.mp4 *.mpeg *.mpga *.m4a *.wav *.webm"' \
+    '(--transcribe-model)--transcribe-model[Model to use for transcription (separate from chat model)]:transcribe model:_fabric_transcription_models' \
+    '(--split-media-file)--split-media-file[Split audio/video files larger than 25MB using ffmpeg]' \
+    '(--debug)--debug[Set debug level (0=off, 1=basic, 2=detailed, 3=trace)]:debug level:(0 1 2 3)' \
    '(--notification)--notification[Send desktop notification when command completes]' \
    '(--notification-command)--notification-command[Custom command to run for notifications]:notification command:' \
    '(-h --help)'{-h,--help}'[Show this help message]' \
--- a/completions/fabric.bash
+++ b/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 --vendor -V --modelContextLength --output -o --output-session --latest -n --changeDefaultModel -d --youtube -y --playlist --transcript --transcript-with-timestamps --comments --metadata --yt-dlp-args --language -g --scrape_url -u --scrape_question -q --seed -e --thinking --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 --disable-responses-api --voice --list-gemini-voices --notification --notification-command --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 --vendor -V --modelContextLength --output -o --output-session --latest -n --changeDefaultModel -d --youtube -y --playlist --transcript --transcript-with-timestamps --comments --metadata --yt-dlp-args --language -g --scrape_url -u --scrape_question -q --seed -e --thinking --wipecontext -w --wipesession -W --printcontext --printsession --readability --input-has-vars --no-variable-replacement --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 --disable-responses-api --transcribe-file --transcribe-model --split-media-file --voice --list-gemini-voices --notification --notification-command --debug --version --listextensions --addextension --rmextension --strategy --liststrategies --listvendors --shell-complete-list --help -h"

  # Helper function for dynamic completions
  _fabric_get_list() {
@@ -74,8 +74,16 @@ _fabric() {
    COMPREPLY=($(compgen -W "$(_fabric_get_list --list-gemini-voices)" -- "${cur}"))
    return 0
    ;;
+  --transcribe-model)
+    COMPREPLY=($(compgen -W "$(_fabric_get_list --list-transcription-models)" -- "${cur}"))
+    return 0
+    ;;
+  --debug)
+    COMPREPLY=($(compgen -W "0 1 2 3" -- "${cur}"))
+    return 0
+    ;;
  # Options requiring file/directory paths
-  -a | --attachment | -o | --output | --config | --addextension | --image-file)
+  -a | --attachment | -o | --output | --config | --addextension | --image-file | --transcribe-file)
    _filedir
    return 0
    ;;
--- a/completions/fabric.fish
+++ b/completions/fabric.fish
@@ -47,6 +47,11 @@ function __fabric_get_gemini_voices
        $cmd --list-gemini-voices --shell-complete-list 2>/dev/null
 end

+function __fabric_get_transcription_models
+        set cmd (commandline -opc)[1]
+        $cmd --list-transcription-models --shell-complete-list 2>/dev/null
+end
+
 # Main completion function
 function __fabric_register_completions
        set cmd $argv[1]
@@ -92,6 +97,9 @@ function __fabric_register_completions
        complete -c $cmd -l think-start-tag -d "Start tag for thinking sections (default: <think>)"
        complete -c $cmd -l think-end-tag -d "End tag for thinking sections (default: </think>)"
        complete -c $cmd -l voice -d "TTS voice name for supported models (e.g., Kore, Charon, Puck)" -a "(__fabric_get_gemini_voices)"
+        complete -c $cmd -l transcribe-file -d "Audio or video file to transcribe" -r -a "*.mp3 *.mp4 *.mpeg *.mpga *.m4a *.wav *.webm"
+        complete -c $cmd -l transcribe-model -d "Model to use for transcription (separate from chat model)" -a "(__fabric_get_transcription_models)"
+        complete -c $cmd -l debug -d "Set debug level (0=off, 1=basic, 2=detailed, 3=trace)" -a "0 1 2 3"
        complete -c $cmd -l notification-command -d "Custom command to run for notifications (overrides built-in notifications)"

        # Boolean flags (no arguments)
@@ -113,8 +121,9 @@ function __fabric_register_completions
        complete -c $cmd -l metadata -d "Output video metadata"
        complete -c $cmd -l yt-dlp-args -d "Additional arguments to pass to yt-dlp (e.g. '--cookies-from-browser brave')"
        complete -c $cmd -l readability -d "Convert HTML input into a clean, readable view"
-        complete -c $cmd -l input-has-vars -d "Apply variables to user input"
-        complete -c $cmd -l dry-run -d "Show what would be sent to the model without actually sending it"
+       complete -c $cmd -l input-has-vars -d "Apply variables to user input"
+       complete -c $cmd -l no-variable-replacement -d "Disable pattern variable replacement"
+       complete -c $cmd -l dry-run -d "Show what would be sent to the model without actually sending it"
        complete -c $cmd -l search -d "Enable web search tool for supported models (Anthropic, OpenAI, Gemini)"
        complete -c $cmd -l serve -d "Serve the Fabric Rest API"
        complete -c $cmd -l serveOllama -d "Serve the Fabric Rest API with ollama endpoints"
@@ -126,6 +135,7 @@ function __fabric_register_completions
        complete -c $cmd -l shell-complete-list -d "Output raw list without headers/formatting (for shell completion)"
        complete -c $cmd -l suppress-think -d "Suppress text enclosed in thinking tags"
        complete -c $cmd -l disable-responses-api -d "Disable OpenAI Responses API (default: false)"
+        complete -c $cmd -l split-media-file -d "Split audio/video files larger than 25MB using ffmpeg"
        complete -c $cmd -l notification -d "Send desktop notification when command completes"
        complete -c $cmd -s h -l help -d "Show this help message"
 end
--- a/data/patterns/create_story_about_person/system.md
+++ b/data/patterns/create_story_about_person/system.md
@@ -0,0 +1,26 @@
+You are an expert creative writer specializing in character-driven narratives, and a keen observer of human psychology. Your task is to craft a compelling, realistic short story based on a psychological profile or personal data provided by the user.
+
+**Input:**
+The user will provide a psychological profile or descriptive data about a fictional or real person. This input will be clearly delimited by triple backticks (```). It may include personality traits, habits, fears, motivations, strengths, weaknesses, background information, or specific behavioral patterns.
+
+**Task Steps:**
+
+1.  **Analyze Profile:** Carefully read and internalize the provided psychological profile. Identify the core personality traits, typical reactions, strengths, and vulnerabilities of the individual.
+2.  **Brainstorm Challenges:** Based on the analysis from Step 1, generate 3-5 common, relatable, everyday problems or minor dilemmas that a person with this specific profile might genuinely encounter. These challenges should be varied and could span social, professional, personal, or emotional domains.
+3.  **Develop Strategies:** For each identified problem from Step 2, devise 1-2 specific, plausible methods or strategies that the character, consistent with their psychological profile, would naturally employ (or attempt to employ) to navigate, cope with, or solve these challenges. Consider both internal thought processes and external actions.
+4.  **Construct Narrative:** Weave these problems and the character's responses into a cohesive, engaging short story (approximately 500-700 words, 3-5 paragraphs). The story should have a clear narrative flow, introducing the character, presenting the challenges, and showing their journey through them.
+5.  **Maintain Consistency:** Throughout the story, ensure the character's actions, dialogue, internal monologue, and emotional reactions are consistently aligned with the psychological profile provided. The story should feel authentic to the character.
+
+**Output Requirements:**
+
+*   **Format:** A continuous narrative short story.
+*   **Tone:** Empathetic, realistic, and engaging.
+*   **Content:** The story must clearly depict the character facing everyday problems and demonstrate their unique methods and strategies for navigating these challenges, directly reflecting the input profile.
+*   **Length:** Approximately 500-700 words.
+*   **Avoid:** Overly dramatic or fantastical scenarios unless the profile explicitly suggests such a context. Focus on the 'everyday common problems'.
+
+**Example of Input Format:**
+
+```
+[Psychological Profile/Data Here]
+```
--- a/data/patterns/heal_person/system.md
+++ b/data/patterns/heal_person/system.md
@@ -0,0 +1,53 @@
+# IDENTITY and PURPOSE
+
+You are an AI assistant whose primary responsibility is to interpret and analyze psychological profiles and/or psychology data files provided as input. Your role is to carefully process this data and use your expertise to develop a tailored plan aimed at spiritual and mental healing, as well as overall life improvement for the subject. You must approach each case with sensitivity, applying psychological knowledge and holistic strategies to create actionable, personalized recommendations that address both mental and spiritual well-being. Your focus is on structured, compassionate, and practical guidance that can help the individual make meaningful improvements in their life.
+
+Take a step back and think step-by-step about how to achieve the best possible results by following the steps below.
+
+# STEPS
+
+- Carefully review the psychological-profile and/or psychology data file provided as input.
+
+- Analyze the data to identify key issues, strengths, and areas needing improvement related to the subject's mental and spiritual well-being.
+
+- Develop a comprehensive plan that includes specific strategies for spiritual healing, mental health improvement, and overall life enhancement.
+
+- Structure your output to clearly outline recommendations, resources, and actionable steps tailored to the individual's unique profile.
+
+# OUTPUT INSTRUCTIONS
+
+- Only output Markdown.
+
+- Ensure your output is organized, clear, and easy to follow, using headings, subheadings, and bullet points where appropriate.
+
+- Ensure you follow ALL these instructions when creating your output.
+
+# INPUT
+
+INPUT:# IDENTITY and PURPOSE
+
+You are an AI assistant whose primary responsibility is to interpret and analyze psychological profiles and/or psychology data files provided as input. Your role is to carefully process this data and use your expertise to develop a tailored plan aimed at spiritual and mental healing, as well as overall life improvement for the subject. You must approach each case with sensitivity, applying psychological knowledge and holistic strategies to create actionable, personalized recommendations that address both mental and spiritual well-being. Your focus is on structured, compassionate, and practical guidance that can help the individual make meaningful improvements in their life.
+
+Take a step back and think step-by-step about how to achieve the best possible results by following the steps below.
+
+# STEPS
+
+- Carefully review the psychological-profile and/or psychology data file provided as input.
+
+- Analyze the data to identify key issues, strengths, and areas needing improvement related to the subject's mental and spiritual well-being.
+
+- Develop a comprehensive plan that includes specific strategies for spiritual healing, mental health improvement, and overall life enhancement.
+
+- Structure your output to clearly outline recommendations, resources, and actionable steps tailored to the individual's unique profile.
+
+# OUTPUT INSTRUCTIONS
+
+- Only output Markdown.
+
+- Ensure your output is organized, clear, and easy to follow, using headings, subheadings, and bullet points where appropriate.
+
+- Ensure you follow ALL these instructions when creating your output.
+
+# INPUT
+
+INPUT:
--- a/data/patterns/pattern_explanations.md
+++ b/data/patterns/pattern_explanations.md
@@ -88,136 +88,138 @@
 84. **create_security_update**: Creates concise security updates for newsletters, covering stories, threats, advisories, vulnerabilities, and a summary of key issues.
 85. **create_show_intro**: Creates compelling short intros for podcasts, summarizing key topics and themes discussed in the episode.
 86. **create_sigma_rules**: Extracts Tactics, Techniques, and Procedures (TTPs) from security news and converts them into Sigma detection rules for host-based detections.
-87. **create_story_explanation**: Summarizes complex content in a clear, approachable story format that makes the concepts easy to understand.
-88. **create_stride_threat_model**: Create a STRIDE-based threat model for a system design, identifying assets, trust boundaries, data flows, and prioritizing threats with mitigations.
-89. **create_summary**: Summarizes content into a 20-word sentence, 10 main points (16 words max), and 5 key takeaways in Markdown format.
-90. **create_tags**: Identifies at least 5 tags from text content for mind mapping tools, including authors and existing tags if present.
-91. **create_threat_scenarios**: Identifies likely attack methods for any system by providing a narrative-based threat model, balancing risk and opportunity.
-92. **create_ttrc_graph**: Creates a CSV file showing the progress of Time to Remediate Critical Vulnerabilities over time using given data.
-93. **create_ttrc_narrative**: Creates a persuasive narrative highlighting progress in reducing the Time to Remediate Critical Vulnerabilities metric over time.
-94. **create_upgrade_pack**: Extracts world model and task algorithm updates from content, providing beliefs about how the world works and task performance.
-95. **create_user_story**: Writes concise and clear technical user stories for new features in complex software programs, formatted for all stakeholders.
-96. **create_video_chapters**: Extracts interesting topics and timestamps from a transcript, providing concise summaries of key moments.
-97. **create_visualization**: Transforms complex ideas into visualizations using intricate ASCII art, simplifying concepts where necessary.
-98. **dialog_with_socrates**: Engages in deep, meaningful dialogues to explore and challenge beliefs using the Socratic method.
-99. **enrich_blog_post**: Enhances Markdown blog files by applying instructions to improve structure, visuals, and readability for HTML rendering.
-100. **explain_code**: Explains code, security tool output, configuration text, and answers questions based on the provided input.
-101. **explain_docs**: Improves and restructures tool documentation into clear, concise instructions, including overviews, usage, use cases, and key features.
-102. **explain_math**: Helps you understand mathematical concepts in a clear and engaging way.
-103. **explain_project**: Summarizes project documentation into clear, concise sections covering the project, problem, solution, installation, usage, and examples.
-104. **explain_terms**: Produces a glossary of advanced terms from content, providing a definition, analogy, and explanation of why each term matters.
-105. **export_data_as_csv**: Extracts and outputs all data structures from the input in properly formatted CSV data.
-106. **extract_algorithm_update_recommendations**: Extracts concise, practical algorithm update recommendations from the input and outputs them in a bulleted list.
-107. **extract_article_wisdom**: Extracts surprising, insightful, and interesting information from content, categorizing it into sections like summary, ideas, quotes, facts, references, and recommendations.
-108. **extract_book_ideas**: Extracts and outputs 50 to 100 of the most surprising, insightful, and interesting ideas from a book's content.
-109. **extract_book_recommendations**: Extracts and outputs 50 to 100 practical, actionable recommendations from a book's content.
-110. **extract_business_ideas**: Extracts top business ideas from content and elaborates on the best 10 with unique differentiators.
-111. **extract_controversial_ideas**: Extracts and outputs controversial statements and supporting quotes from the input in a structured Markdown list.
-112. **extract_core_message**: Extracts and outputs a clear, concise sentence that articulates the core message of a given text or body of work.
-113. **extract_ctf_writeup**: Extracts a short writeup from a warstory-like text about a cyber security engagement.
-114. **extract_domains**: Extracts domains and URLs from content to identify sources used for articles, newsletters, and other publications.
-115. **extract_extraordinary_claims**: Extracts and outputs a list of extraordinary claims from conversations, focusing on scientifically disputed or false statements.
-116. **extract_ideas**: Extracts and outputs all the key ideas from input, presented as 15-word bullet points in Markdown.
-117. **extract_insights**: Extracts and outputs the most powerful and insightful ideas from text, formatted as 16-word bullet points in the INSIGHTS section, also IDEAS section.
-118. **extract_insights_dm**: Extracts and outputs all valuable insights and a concise summary of the content, including key points and topics discussed.
-119. **extract_instructions**: Extracts clear, actionable step-by-step instructions and main objectives from instructional video transcripts, organizing them into a concise list.
-120. **extract_jokes**: Extracts jokes from text content, presenting each joke with its punchline in separate bullet points.
-121. **extract_latest_video**: Extracts the latest video URL from a YouTube RSS feed and outputs the URL only.
-122. **extract_main_activities**: Extracts key events and activities from transcripts or logs, providing a summary of what happened.
-123. **extract_main_idea**: Extracts the main idea and key recommendation from the input, summarizing them in 15-word sentences.
-124. **extract_most_redeeming_thing**: Extracts the most redeeming aspect from an input, summarizing it in a single 15-word sentence.
-125. **extract_patterns**: Extracts and analyzes recurring, surprising, and insightful patterns from input, providing detailed analysis and advice for builders.
-126. **extract_poc**: Extracts proof of concept URLs and validation methods from security reports, providing the URL and command to run.
-127. **extract_predictions**: Extracts predictions from input, including specific details such as date, confidence level, and verification method.
-128. **extract_primary_problem**: Extracts the primary problem with the world as presented in a given text or body of work.
-129. **extract_primary_solution**: Extracts the primary solution for the world as presented in a given text or body of work.
-130. **extract_product_features**: Extracts and outputs a list of product features from the provided input in a bulleted format.
-131. **extract_questions**: Extracts and outputs all questions asked by the interviewer in a conversation or interview.
-132. **extract_recipe**: Extracts and outputs a recipe with a short meal description, ingredients with measurements, and preparation steps.
-133. **extract_recommendations**: Extracts and outputs concise, practical recommendations from a given piece of content in a bulleted list.
-134. **extract_references**: Extracts and outputs a bulleted list of references to art, stories, books, literature, and other sources from content.
-135. **extract_skills**: Extracts and classifies skills from a job description into a table, separating each skill and classifying it as either hard or soft.
-136. **extract_song_meaning**: Analyzes a song to provide a summary of its meaning, supported by detailed evidence from lyrics, artist commentary, and fan analysis.
-137. **extract_sponsors**: Extracts and lists official sponsors and potential sponsors from a provided transcript.
-138. **extract_videoid**: Extracts and outputs the video ID from any given URL.
-139. **extract_wisdom**: Extracts surprising, insightful, and interesting information from text on topics like human flourishing, AI, learning, and more.
-140. **extract_wisdom_agents**: Extracts valuable insights, ideas, quotes, and references from content, emphasizing topics like human flourishing, AI, learning, and technology.
-141. **extract_wisdom_dm**: Extracts all valuable, insightful, and thought-provoking information from content, focusing on topics like human flourishing, AI, learning, and technology.
-142. **extract_wisdom_nometa**: Extracts insights, ideas, quotes, habits, facts, references, and recommendations from content, focusing on human flourishing, AI, technology, and related topics.
-143. **find_female_life_partner**: Analyzes criteria for finding a female life partner and provides clear, direct, and poetic descriptions.
-144. **find_hidden_message**: Extracts overt and hidden political messages, justifications, audience actions, and a cynical analysis from content.
-145. **find_logical_fallacies**: Identifies and analyzes fallacies in arguments, classifying them as formal or informal with detailed reasoning.
-146. **get_wow_per_minute**: Determines the wow-factor of content per minute based on surprise, novelty, insight, value, and wisdom, measuring how rewarding the content is for the viewer.
-147. **get_youtube_rss**: Returns the RSS URL for a given YouTube channel based on the channel ID or URL.
-148. **humanize**: Rewrites AI-generated text to sound natural, conversational, and easy to understand, maintaining clarity and simplicity.
-149. **identify_dsrp_distinctions**: Encourages creative, systems-based thinking by exploring distinctions, boundaries, and their implications, drawing on insights from prominent systems thinkers.
-150. **identify_dsrp_perspectives**: Explores the concept of distinctions in systems thinking, focusing on how boundaries define ideas, influence understanding, and reveal or obscure insights.
-151. **identify_dsrp_relationships**: Encourages exploration of connections, distinctions, and boundaries between ideas, inspired by systems thinkers to reveal new insights and patterns in complex systems.
-152. **identify_dsrp_systems**: Encourages organizing ideas into systems of parts and wholes, inspired by systems thinkers to explore relationships and how changes in organization impact meaning and understanding.
-153. **identify_job_stories**: Identifies key job stories or requirements for roles.
-154. **improve_academic_writing**: Refines text into clear, concise academic language while improving grammar, coherence, and clarity, with a list of changes.
-155. **improve_prompt**: Improves an LLM/AI prompt by applying expert prompt writing strategies for better results and clarity.
-156. **improve_report_finding**: Improves a penetration test security finding by providing detailed descriptions, risks, recommendations, references, quotes, and a concise summary in markdown format.
-157. **improve_writing**: Refines text by correcting grammar, enhancing style, improving clarity, and maintaining the original meaning. skills.
-158. **judge_output**: Evaluates Honeycomb queries by judging their effectiveness, providing critiques and outcomes based on language nuances and analytics relevance.
-159. **label_and_rate**: Labels content with up to 20 single-word tags and rates it based on idea count and relevance to human meaning, AI, and other related themes, assigning a tier (S, A, B, C, D) and a quality score.
-160. **md_callout**: Classifies content and generates a markdown callout based on the provided text, selecting the most appropriate type.
-161. **official_pattern_template**: Template to use if you want to create new fabric patterns.
-162. **prepare_7s_strategy**: Prepares a comprehensive briefing document from 7S's strategy capturing organizational profile, strategic elements, and market dynamics with clear, concise, and organized content.
-163. **provide_guidance**: Provides psychological and life coaching advice, including analysis, recommendations, and potential diagnoses, with a compassionate and honest tone.
-164. **rate_ai_response**: Rates the quality of AI responses by comparing them to top human expert performance, assigning a letter grade, reasoning, and providing a 1-100 score based on the evaluation.
-165. **rate_ai_result**: Assesses the quality of AI/ML/LLM work by deeply analyzing content, instructions, and output, then rates performance based on multiple dimensions, including coverage, creativity, and interdisciplinary thinking.
-166. **rate_content**: Labels content with up to 20 single-word tags and rates it based on idea count and relevance to human meaning, AI, and other related themes, assigning a tier (S, A, B, C, D) and a quality score.
-167. **rate_value**: Produces the best possible output by deeply analyzing and understanding the input and its intended purpose.
-168. **raw_query**: Fully digests and contemplates the input to produce the best possible result based on understanding the sender's intent.
-169. **recommend_artists**: Recommends a personalized festival schedule with artists aligned to your favorite styles and interests, including rationale.
-170. **recommend_pipeline_upgrades**: Optimizes vulnerability-checking pipelines by incorporating new information and improving their efficiency, with detailed explanations of changes.
-171. **recommend_talkpanel_topics**: Produces a clean set of proposed talks or panel talking points for a person based on their interests and goals, formatted for submission to a conference organizer.
-172. **refine_design_document**: Refines a design document based on a design review by analyzing, mapping concepts, and implementing changes using valid Markdown.
-173. **review_design**: Reviews and analyzes architecture design, focusing on clarity, component design, system integrations, security, performance, scalability, and data management.
-174. **sanitize_broken_html_to_markdown**: Converts messy HTML into clean, properly formatted Markdown, applying custom styling and ensuring compatibility with Vite.
-175. **show_fabric_options_markmap**: Visualizes the functionality of the Fabric framework by representing its components, commands, and features based on the provided input.
-176. **solve_with_cot**: Provides detailed, step-by-step responses with chain of thought reasoning, using structured thinking, reflection, and output sections.
-177. **suggest_pattern**: Suggests appropriate fabric patterns or commands based on user input, providing clear explanations and options for users.
-178. **summarize**: Summarizes content into a 20-word sentence, main points, and takeaways, formatted with numbered lists in Markdown.
-179. **summarize_board_meeting**: Creates formal meeting notes from board meeting transcripts for corporate governance documentation.
-180. **summarize_debate**: Summarizes debates, identifies primary disagreement, extracts arguments, and provides analysis of evidence and argument strength to predict outcomes.
-181. **summarize_git_changes**: Summarizes recent project updates from the last 7 days, focusing on key changes with enthusiasm.
-182. **summarize_git_diff**: Summarizes and organizes Git diff changes with clear, succinct commit messages and bullet points.
-183. **summarize_lecture**: Extracts relevant topics, definitions, and tools from lecture transcripts, providing structured summaries with timestamps and key takeaways.
-184. **summarize_legislation**: Summarizes complex political proposals and legislation by analyzing key points, proposed changes, and providing balanced, positive, and cynical characterizations.
-185. **summarize_meeting**: Analyzes meeting transcripts to extract a structured summary, including an overview, key points, tasks, decisions, challenges, timeline, references, and next steps.
-186. **summarize_micro**: Summarizes content into a 20-word sentence, 3 main points, and 3 takeaways, formatted in clear, concise Markdown.
-187. **summarize_newsletter**: Extracts the most meaningful, interesting, and useful content from a newsletter, summarizing key sections such as content, opinions, tools, companies, and follow-up items in clear, structured Markdown.
-188. **summarize_paper**: Summarizes an academic paper by detailing its title, authors, technical approach, distinctive features, experimental setup, results, advantages, limitations, and conclusion in a clear, structured format using human-readable Markdown.
-189. **summarize_prompt**: Summarizes AI chat prompts by describing the primary function, unique approach, and expected output in a concise paragraph. The summary is focused on the prompt's purpose without unnecessary details or formatting.
-190. **summarize_pull-requests**: Summarizes pull requests for a coding project by providing a summary and listing the top PRs with human-readable descriptions.
-191. **summarize_rpg_session**: Summarizes a role-playing game session by extracting key events, combat stats, character changes, quotes, and more.
-192. **t_analyze_challenge_handling**: Provides 8-16 word bullet points evaluating how well challenges are being addressed, calling out any lack of effort.
-193. **t_check_metrics**: Analyzes deep context from the TELOS file and input instruction, then provides a wisdom-based output while considering metrics and KPIs to assess recent improvements.
-194. **t_create_h3_career**: Summarizes context and produces wisdom-based output by deeply analyzing both the TELOS File and the input instruction, considering the relationship between the two.
-195. **t_create_opening_sentences**: Describes from TELOS file the person's identity, goals, and actions in 4 concise, 32-word bullet points, humbly.
-196. **t_describe_life_outlook**: Describes from TELOS file a person's life outlook in 5 concise, 16-word bullet points.
-197. **t_extract_intro_sentences**: Summarizes from TELOS file a person's identity, work, and current projects in 5 concise and grounded bullet points.
-198. **t_extract_panel_topics**: Creates 5 panel ideas with titles and descriptions based on deep context from a TELOS file and input.
-199. **t_find_blindspots**: Identify potential blindspots in thinking, frames, or models that may expose the individual to error or risk.
-200. **t_find_negative_thinking**: Analyze a TELOS file and input to identify negative thinking in documents or journals, followed by tough love encouragement.
-201. **t_find_neglected_goals**: Analyze a TELOS file and input instructions to identify goals or projects that have not been worked on recently.
-202. **t_give_encouragement**: Analyze a TELOS file and input instructions to evaluate progress, provide encouragement, and offer recommendations for continued effort.
-203. **t_red_team_thinking**: Analyze a TELOS file and input instructions to red-team thinking, models, and frames, then provide recommendations for improvement.
-204. **t_threat_model_plans**: Analyze a TELOS file and input instructions to create threat models for a life plan and recommend improvements.
-205. **t_visualize_mission_goals_projects**: Analyze a TELOS file and input instructions to create an ASCII art diagram illustrating the relationship of missions, goals, and projects.
-206. **t_year_in_review**: Analyze a TELOS file to create insights about a person or entity, then summarize accomplishments and visualizations in bullet points.
-207. **to_flashcards**: Create Anki flashcards from a given text, focusing on concise, optimized questions and answers without external context.
-208. **transcribe_minutes**: Extracts (from meeting transcription) meeting minutes, identifying actionables, insightful ideas, decisions, challenges, and next steps in a structured format.
-209. **translate**: Translates sentences or documentation into the specified language code while maintaining the original formatting and tone.
-210. **tweet**: Provides a step-by-step guide on crafting engaging tweets with emojis, covering Twitter basics, account creation, features, and audience targeting.
-211. **write_essay**: Writes essays in the style of a specified author, embodying their unique voice, vocabulary, and approach. Uses `author_name` variable.
-212. **write_essay_pg**: Writes concise, clear essays in the style of Paul Graham, focusing on simplicity, clarity, and illumination of the provided topic.
-213. **write_hackerone_report**: Generates concise, clear, and reproducible bug bounty reports, detailing vulnerability impact, steps to reproduce, and exploit details for triagers.
-214. **write_latex**: Generates syntactically correct LaTeX code for a new.tex document, ensuring proper formatting and compatibility with pdflatex.
-215. **write_micro_essay**: Writes concise, clear, and illuminating essays on the given topic in the style of Paul Graham.
-216. **write_nuclei_template_rule**: Generates Nuclei YAML templates for detecting vulnerabilities using HTTP requests, matchers, extractors, and dynamic data extraction.
-217. **write_pull-request**: Drafts detailed pull request descriptions, explaining changes, providing reasoning, and identifying potential bugs from the git diff command output.
-218. **write_semgrep_rule**: Creates accurate and working Semgrep rules based on input, following syntax guidelines and specific language considerations.
-219. **youtube_summary**: Create concise, timestamped Youtube video summaries that highlight key points.
+87. **create_story_about_person**: Creates compelling, realistic short stories based on psychological profiles, showing how characters navigate everyday problems using strategies consistent with their personality traits.
+88. **create_story_explanation**: Summarizes complex content in a clear, approachable story format that makes the concepts easy to understand.
+89. **create_stride_threat_model**: Create a STRIDE-based threat model for a system design, identifying assets, trust boundaries, data flows, and prioritizing threats with mitigations.
+90. **create_summary**: Summarizes content into a 20-word sentence, 10 main points (16 words max), and 5 key takeaways in Markdown format.
+91. **create_tags**: Identifies at least 5 tags from text content for mind mapping tools, including authors and existing tags if present.
+92. **create_threat_scenarios**: Identifies likely attack methods for any system by providing a narrative-based threat model, balancing risk and opportunity.
+93. **create_ttrc_graph**: Creates a CSV file showing the progress of Time to Remediate Critical Vulnerabilities over time using given data.
+94. **create_ttrc_narrative**: Creates a persuasive narrative highlighting progress in reducing the Time to Remediate Critical Vulnerabilities metric over time.
+95. **create_upgrade_pack**: Extracts world model and task algorithm updates from content, providing beliefs about how the world works and task performance.
+96. **create_user_story**: Writes concise and clear technical user stories for new features in complex software programs, formatted for all stakeholders.
+97. **create_video_chapters**: Extracts interesting topics and timestamps from a transcript, providing concise summaries of key moments.
+98. **create_visualization**: Transforms complex ideas into visualizations using intricate ASCII art, simplifying concepts where necessary.
+99. **dialog_with_socrates**: Engages in deep, meaningful dialogues to explore and challenge beliefs using the Socratic method.
+100. **enrich_blog_post**: Enhances Markdown blog files by applying instructions to improve structure, visuals, and readability for HTML rendering.
+101. **explain_code**: Explains code, security tool output, configuration text, and answers questions based on the provided input.
+102. **explain_docs**: Improves and restructures tool documentation into clear, concise instructions, including overviews, usage, use cases, and key features.
+103. **explain_math**: Helps you understand mathematical concepts in a clear and engaging way.
+104. **explain_project**: Summarizes project documentation into clear, concise sections covering the project, problem, solution, installation, usage, and examples.
+105. **explain_terms**: Produces a glossary of advanced terms from content, providing a definition, analogy, and explanation of why each term matters.
+106. **export_data_as_csv**: Extracts and outputs all data structures from the input in properly formatted CSV data.
+107. **extract_algorithm_update_recommendations**: Extracts concise, practical algorithm update recommendations from the input and outputs them in a bulleted list.
+108. **extract_article_wisdom**: Extracts surprising, insightful, and interesting information from content, categorizing it into sections like summary, ideas, quotes, facts, references, and recommendations.
+109. **extract_book_ideas**: Extracts and outputs 50 to 100 of the most surprising, insightful, and interesting ideas from a book's content.
+110. **extract_book_recommendations**: Extracts and outputs 50 to 100 practical, actionable recommendations from a book's content.
+111. **extract_business_ideas**: Extracts top business ideas from content and elaborates on the best 10 with unique differentiators.
+112. **extract_controversial_ideas**: Extracts and outputs controversial statements and supporting quotes from the input in a structured Markdown list.
+113. **extract_core_message**: Extracts and outputs a clear, concise sentence that articulates the core message of a given text or body of work.
+114. **extract_ctf_writeup**: Extracts a short writeup from a warstory-like text about a cyber security engagement.
+115. **extract_domains**: Extracts domains and URLs from content to identify sources used for articles, newsletters, and other publications.
+116. **extract_extraordinary_claims**: Extracts and outputs a list of extraordinary claims from conversations, focusing on scientifically disputed or false statements.
+117. **extract_ideas**: Extracts and outputs all the key ideas from input, presented as 15-word bullet points in Markdown.
+118. **extract_insights**: Extracts and outputs the most powerful and insightful ideas from text, formatted as 16-word bullet points in the INSIGHTS section, also IDEAS section.
+119. **extract_insights_dm**: Extracts and outputs all valuable insights and a concise summary of the content, including key points and topics discussed.
+120. **extract_instructions**: Extracts clear, actionable step-by-step instructions and main objectives from instructional video transcripts, organizing them into a concise list.
+121. **extract_jokes**: Extracts jokes from text content, presenting each joke with its punchline in separate bullet points.
+122. **extract_latest_video**: Extracts the latest video URL from a YouTube RSS feed and outputs the URL only.
+123. **extract_main_activities**: Extracts key events and activities from transcripts or logs, providing a summary of what happened.
+124. **extract_main_idea**: Extracts the main idea and key recommendation from the input, summarizing them in 15-word sentences.
+125. **extract_most_redeeming_thing**: Extracts the most redeeming aspect from an input, summarizing it in a single 15-word sentence.
+126. **extract_patterns**: Extracts and analyzes recurring, surprising, and insightful patterns from input, providing detailed analysis and advice for builders.
+127. **extract_poc**: Extracts proof of concept URLs and validation methods from security reports, providing the URL and command to run.
+128. **extract_predictions**: Extracts predictions from input, including specific details such as date, confidence level, and verification method.
+129. **extract_primary_problem**: Extracts the primary problem with the world as presented in a given text or body of work.
+130. **extract_primary_solution**: Extracts the primary solution for the world as presented in a given text or body of work.
+131. **extract_product_features**: Extracts and outputs a list of product features from the provided input in a bulleted format.
+132. **extract_questions**: Extracts and outputs all questions asked by the interviewer in a conversation or interview.
+133. **extract_recipe**: Extracts and outputs a recipe with a short meal description, ingredients with measurements, and preparation steps.
+134. **extract_recommendations**: Extracts and outputs concise, practical recommendations from a given piece of content in a bulleted list.
+135. **extract_references**: Extracts and outputs a bulleted list of references to art, stories, books, literature, and other sources from content.
+136. **extract_skills**: Extracts and classifies skills from a job description into a table, separating each skill and classifying it as either hard or soft.
+137. **extract_song_meaning**: Analyzes a song to provide a summary of its meaning, supported by detailed evidence from lyrics, artist commentary, and fan analysis.
+138. **extract_sponsors**: Extracts and lists official sponsors and potential sponsors from a provided transcript.
+139. **extract_videoid**: Extracts and outputs the video ID from any given URL.
+140. **extract_wisdom**: Extracts surprising, insightful, and interesting information from text on topics like human flourishing, AI, learning, and more.
+141. **extract_wisdom_agents**: Extracts valuable insights, ideas, quotes, and references from content, emphasizing topics like human flourishing, AI, learning, and technology.
+142. **extract_wisdom_dm**: Extracts all valuable, insightful, and thought-provoking information from content, focusing on topics like human flourishing, AI, learning, and technology.
+143. **extract_wisdom_nometa**: Extracts insights, ideas, quotes, habits, facts, references, and recommendations from content, focusing on human flourishing, AI, technology, and related topics.
+144. **find_female_life_partner**: Analyzes criteria for finding a female life partner and provides clear, direct, and poetic descriptions.
+145. **find_hidden_message**: Extracts overt and hidden political messages, justifications, audience actions, and a cynical analysis from content.
+146. **find_logical_fallacies**: Identifies and analyzes fallacies in arguments, classifying them as formal or informal with detailed reasoning.
+147. **get_wow_per_minute**: Determines the wow-factor of content per minute based on surprise, novelty, insight, value, and wisdom, measuring how rewarding the content is for the viewer.
+148. **get_youtube_rss**: Returns the RSS URL for a given YouTube channel based on the channel ID or URL.
+149. **heal_person**: Develops a comprehensive plan for spiritual and mental healing based on psychological profiles, providing personalized recommendations for mental health improvement and overall life enhancement.
+150. **humanize**: Rewrites AI-generated text to sound natural, conversational, and easy to understand, maintaining clarity and simplicity.
+151. **identify_dsrp_distinctions**: Encourages creative, systems-based thinking by exploring distinctions, boundaries, and their implications, drawing on insights from prominent systems thinkers.
+152. **identify_dsrp_perspectives**: Explores the concept of distinctions in systems thinking, focusing on how boundaries define ideas, influence understanding, and reveal or obscure insights.
+153. **identify_dsrp_relationships**: Encourages exploration of connections, distinctions, and boundaries between ideas, inspired by systems thinkers to reveal new insights and patterns in complex systems.
+154. **identify_dsrp_systems**: Encourages organizing ideas into systems of parts and wholes, inspired by systems thinkers to explore relationships and how changes in organization impact meaning and understanding.
+155. **identify_job_stories**: Identifies key job stories or requirements for roles.
+156. **improve_academic_writing**: Refines text into clear, concise academic language while improving grammar, coherence, and clarity, with a list of changes.
+157. **improve_prompt**: Improves an LLM/AI prompt by applying expert prompt writing strategies for better results and clarity.
+158. **improve_report_finding**: Improves a penetration test security finding by providing detailed descriptions, risks, recommendations, references, quotes, and a concise summary in markdown format.
+159. **improve_writing**: Refines text by correcting grammar, enhancing style, improving clarity, and maintaining the original meaning. skills.
+160. **judge_output**: Evaluates Honeycomb queries by judging their effectiveness, providing critiques and outcomes based on language nuances and analytics relevance.
+161. **label_and_rate**: Labels content with up to 20 single-word tags and rates it based on idea count and relevance to human meaning, AI, and other related themes, assigning a tier (S, A, B, C, D) and a quality score.
+162. **md_callout**: Classifies content and generates a markdown callout based on the provided text, selecting the most appropriate type.
+163. **official_pattern_template**: Template to use if you want to create new fabric patterns.
+164. **prepare_7s_strategy**: Prepares a comprehensive briefing document from 7S's strategy capturing organizational profile, strategic elements, and market dynamics with clear, concise, and organized content.
+165. **provide_guidance**: Provides psychological and life coaching advice, including analysis, recommendations, and potential diagnoses, with a compassionate and honest tone.
+166. **rate_ai_response**: Rates the quality of AI responses by comparing them to top human expert performance, assigning a letter grade, reasoning, and providing a 1-100 score based on the evaluation.
+167. **rate_ai_result**: Assesses the quality of AI/ML/LLM work by deeply analyzing content, instructions, and output, then rates performance based on multiple dimensions, including coverage, creativity, and interdisciplinary thinking.
+168. **rate_content**: Labels content with up to 20 single-word tags and rates it based on idea count and relevance to human meaning, AI, and other related themes, assigning a tier (S, A, B, C, D) and a quality score.
+169. **rate_value**: Produces the best possible output by deeply analyzing and understanding the input and its intended purpose.
+170. **raw_query**: Fully digests and contemplates the input to produce the best possible result based on understanding the sender's intent.
+171. **recommend_artists**: Recommends a personalized festival schedule with artists aligned to your favorite styles and interests, including rationale.
+172. **recommend_pipeline_upgrades**: Optimizes vulnerability-checking pipelines by incorporating new information and improving their efficiency, with detailed explanations of changes.
+173. **recommend_talkpanel_topics**: Produces a clean set of proposed talks or panel talking points for a person based on their interests and goals, formatted for submission to a conference organizer.
+174. **refine_design_document**: Refines a design document based on a design review by analyzing, mapping concepts, and implementing changes using valid Markdown.
+175. **review_design**: Reviews and analyzes architecture design, focusing on clarity, component design, system integrations, security, performance, scalability, and data management.
+176. **sanitize_broken_html_to_markdown**: Converts messy HTML into clean, properly formatted Markdown, applying custom styling and ensuring compatibility with Vite.
+177. **show_fabric_options_markmap**: Visualizes the functionality of the Fabric framework by representing its components, commands, and features based on the provided input.
+178. **solve_with_cot**: Provides detailed, step-by-step responses with chain of thought reasoning, using structured thinking, reflection, and output sections.
+179. **suggest_pattern**: Suggests appropriate fabric patterns or commands based on user input, providing clear explanations and options for users.
+180. **summarize**: Summarizes content into a 20-word sentence, main points, and takeaways, formatted with numbered lists in Markdown.
+181. **summarize_board_meeting**: Creates formal meeting notes from board meeting transcripts for corporate governance documentation.
+182. **summarize_debate**: Summarizes debates, identifies primary disagreement, extracts arguments, and provides analysis of evidence and argument strength to predict outcomes.
+183. **summarize_git_changes**: Summarizes recent project updates from the last 7 days, focusing on key changes with enthusiasm.
+184. **summarize_git_diff**: Summarizes and organizes Git diff changes with clear, succinct commit messages and bullet points.
+185. **summarize_lecture**: Extracts relevant topics, definitions, and tools from lecture transcripts, providing structured summaries with timestamps and key takeaways.
+186. **summarize_legislation**: Summarizes complex political proposals and legislation by analyzing key points, proposed changes, and providing balanced, positive, and cynical characterizations.
+187. **summarize_meeting**: Analyzes meeting transcripts to extract a structured summary, including an overview, key points, tasks, decisions, challenges, timeline, references, and next steps.
+188. **summarize_micro**: Summarizes content into a 20-word sentence, 3 main points, and 3 takeaways, formatted in clear, concise Markdown.
+189. **summarize_newsletter**: Extracts the most meaningful, interesting, and useful content from a newsletter, summarizing key sections such as content, opinions, tools, companies, and follow-up items in clear, structured Markdown.
+190. **summarize_paper**: Summarizes an academic paper by detailing its title, authors, technical approach, distinctive features, experimental setup, results, advantages, limitations, and conclusion in a clear, structured format using human-readable Markdown.
+191. **summarize_prompt**: Summarizes AI chat prompts by describing the primary function, unique approach, and expected output in a concise paragraph. The summary is focused on the prompt's purpose without unnecessary details or formatting.
+192. **summarize_pull-requests**: Summarizes pull requests for a coding project by providing a summary and listing the top PRs with human-readable descriptions.
+193. **summarize_rpg_session**: Summarizes a role-playing game session by extracting key events, combat stats, character changes, quotes, and more.
+194. **t_analyze_challenge_handling**: Provides 8-16 word bullet points evaluating how well challenges are being addressed, calling out any lack of effort.
+195. **t_check_metrics**: Analyzes deep context from the TELOS file and input instruction, then provides a wisdom-based output while considering metrics and KPIs to assess recent improvements.
+196. **t_create_h3_career**: Summarizes context and produces wisdom-based output by deeply analyzing both the TELOS File and the input instruction, considering the relationship between the two.
+197. **t_create_opening_sentences**: Describes from TELOS file the person's identity, goals, and actions in 4 concise, 32-word bullet points, humbly.
+198. **t_describe_life_outlook**: Describes from TELOS file a person's life outlook in 5 concise, 16-word bullet points.
+199. **t_extract_intro_sentences**: Summarizes from TELOS file a person's identity, work, and current projects in 5 concise and grounded bullet points.
+200. **t_extract_panel_topics**: Creates 5 panel ideas with titles and descriptions based on deep context from a TELOS file and input.
+201. **t_find_blindspots**: Identify potential blindspots in thinking, frames, or models that may expose the individual to error or risk.
+202. **t_find_negative_thinking**: Analyze a TELOS file and input to identify negative thinking in documents or journals, followed by tough love encouragement.
+203. **t_find_neglected_goals**: Analyze a TELOS file and input instructions to identify goals or projects that have not been worked on recently.
+204. **t_give_encouragement**: Analyze a TELOS file and input instructions to evaluate progress, provide encouragement, and offer recommendations for continued effort.
+205. **t_red_team_thinking**: Analyze a TELOS file and input instructions to red-team thinking, models, and frames, then provide recommendations for improvement.
+206. **t_threat_model_plans**: Analyze a TELOS file and input instructions to create threat models for a life plan and recommend improvements.
+207. **t_visualize_mission_goals_projects**: Analyze a TELOS file and input instructions to create an ASCII art diagram illustrating the relationship of missions, goals, and projects.
+208. **t_year_in_review**: Analyze a TELOS file to create insights about a person or entity, then summarize accomplishments and visualizations in bullet points.
+209. **to_flashcards**: Create Anki flashcards from a given text, focusing on concise, optimized questions and answers without external context.
+210. **transcribe_minutes**: Extracts (from meeting transcription) meeting minutes, identifying actionables, insightful ideas, decisions, challenges, and next steps in a structured format.
+211. **translate**: Translates sentences or documentation into the specified language code while maintaining the original formatting and tone.
+212. **tweet**: Provides a step-by-step guide on crafting engaging tweets with emojis, covering Twitter basics, account creation, features, and audience targeting.
+213. **write_essay**: Writes essays in the style of a specified author, embodying their unique voice, vocabulary, and approach. Uses `author_name` variable.
+214. **write_essay_pg**: Writes concise, clear essays in the style of Paul Graham, focusing on simplicity, clarity, and illumination of the provided topic.
+215. **write_hackerone_report**: Generates concise, clear, and reproducible bug bounty reports, detailing vulnerability impact, steps to reproduce, and exploit details for triagers.
+216. **write_latex**: Generates syntactically correct LaTeX code for a new.tex document, ensuring proper formatting and compatibility with pdflatex.
+217. **write_micro_essay**: Writes concise, clear, and illuminating essays on the given topic in the style of Paul Graham.
+218. **write_nuclei_template_rule**: Generates Nuclei YAML templates for detecting vulnerabilities using HTTP requests, matchers, extractors, and dynamic data extraction.
+219. **write_pull-request**: Drafts detailed pull request descriptions, explaining changes, providing reasoning, and identifying potential bugs from the git diff command output.
+220. **write_semgrep_rule**: Creates accurate and working Semgrep rules based on input, following syntax guidelines and specific language considerations.
+221. **youtube_summary**: Create concise, timestamped Youtube video summaries that highlight key points.
--- a/docs/CODE_OF_CONDUCT.md
+++ b/docs/CODE_OF_CONDUCT.md
@@ -0,0 +1,26 @@
+# Code of Conduct
+
+## Our Expectation
+
+We expect all contributors and community members to act with basic human decency and common sense.
+
+This project exists to help people augment their capabilities with AI, and we welcome contributions from anyone who shares this mission. We assume good faith and trust that everyone involved is here to build something valuable together.
+
+## Guidelines
+
+- **Be respectful**: Treat others as you'd want to be treated in a professional setting
+- **Be constructive**: Focus on the work and help make the project better
+- **Be collaborative**: We're all working toward the same goal - making Fabric more useful
+- **Use good judgment**: If you're not sure whether something is appropriate, it probably isn't
+
+## Reporting Issues
+
+If someone is being genuinely disruptive or harmful, please email the maintainers directly. We'll address legitimate concerns promptly and fairly.
+
+## Enforcement
+
+Maintainers reserve the right to remove content and restrict access for anyone who consistently acts in bad faith or disrupts the community.
+
+---
+
+*This project assumes contributors are adults who can work together professionally. If you can't do that, this isn't the right place for you.*
--- a/docs/CONTRIBUTING.md
+++ b/docs/CONTRIBUTING.md
@@ -0,0 +1,155 @@
+# Contributing to Fabric
+
+Thanks for contributing to Fabric! Here's what you need to know to get started quickly.
+
+## Quick Setup
+
+### Prerequisites
+
+- Go 1.24+ installed
+- Git configured with your details
+
+### Getting Started
+
+```bash
+# Clone and setup
+git clone https://github.com/danielmiessler/fabric.git
+cd fabric
+go build -o fabric ./cmd/fabric
+./fabric --setup
+
+# Run tests
+go test ./...
+```
+
+## Development Guidelines
+
+### Code Style
+
+- Follow standard Go conventions (`gofmt`, `golint`)
+- Use meaningful variable and function names
+- Write tests for new functionality
+- Keep functions focused and small
+
+### Commit Messages
+
+Use descriptive commit messages:
+
+```text
+feat: add new pattern for code analysis
+fix: resolve OAuth token refresh issue
+docs: update installation instructions
+```
+
+### Project Structure
+
+- `cmd/` - Executable commands
+- `internal/` - Private application code
+- `data/patterns/` - AI patterns
+- `docs/` - Documentation
+
+## Pull Request Process
+
+### Changelog Generation (REQUIRED)
+
+Before submitting your PR, generate a changelog entry:
+
+```bash
+cd cmd/generate_changelog
+go build -o generate_changelog .
+./generate_changelog --incoming-pr YOUR_PR_NUMBER
+```
+
+**Requirements:**
+
+- PR must be open and mergeable
+- Working directory must be clean
+- GitHub token available (GITHUB_TOKEN env var)
+
+**Optional flags:**
+
+- `--ai-summarize` - Enhanced AI-generated summaries
+- `--push` - Auto-push the changelog commit
+
+### PR Guidelines
+
+1. Fork the repository
+2. Create a feature branch
+3. Make your changes
+4. Write/update tests
+5. Generate changelog entry (see above)
+6. Submit PR with clear description
+
+### Review Process
+
+- PRs require maintainer review
+- Address feedback promptly
+- Keep PRs focused on single features/fixes
+- Update changelog if you make significant changes
+
+## Testing
+
+### Run Tests
+
+```bash
+# All tests
+go test ./...
+
+# Specific package
+go test ./internal/cli
+
+# With coverage
+go test -cover ./...
+```
+
+### Test Requirements
+
+- Unit tests for core functionality
+- Integration tests for external dependencies
+- Examples in documentation
+
+## Patterns
+
+### Creating Patterns
+
+Patterns go in `data/patterns/[pattern-name]/system.md`:
+
+```markdown
+# IDENTITY and PURPOSE
+You are an expert at...
+
+# STEPS
+- Step 1
+- Step 2
+
+# OUTPUT
+- Output format requirements
+
+# EXAMPLE
+Example output here
+```
+
+### Pattern Guidelines
+
+- Use clear, actionable language
+- Provide specific output formats
+- Include examples when helpful
+- Test with multiple AI providers
+
+## Documentation
+
+- Update README.md for new features
+- Add docs to `docs/` for complex features
+- Include usage examples
+- Keep documentation current
+
+## Getting Help
+
+- Check existing issues first
+- Ask questions in discussions
+- Tag maintainers for urgent issues
+- Be patient - maintainers are volunteers
+
+## License
+
+By contributing, you agree your contributions will be licensed under the MIT License.
--- a/docs/README.md
+++ b/docs/README.md
@@ -0,0 +1,88 @@
+# Fabric Documentation
+
+Welcome to the Fabric documentation! This directory contains detailed guides and technical documentation for various features and components of Fabric.
+
+## 📚 Available Documentation
+
+### Core Features
+
+**[Automated-Changelog-Usage.md](./Automated-Changelog-Usage.md)**
+Complete guide for developers on using the automated changelog system. Covers the workflow for generating PR changelog entries during development, including setup, validation, and CI/CD integration.
+
+**[YouTube-Processing.md](./YouTube-Processing.md)**
+Comprehensive guide for processing YouTube videos and playlists with Fabric. Covers transcript extraction, comment processing, metadata retrieval, and advanced yt-dlp configurations.
+
+**[Using-Speech-To-Text.md](./Using-Speech-To-Text.md)**
+Documentation for Fabric's speech-to-text capabilities using OpenAI's Whisper models. Learn how to transcribe audio and video files and process them through Fabric patterns.
+
+### User Interface & Experience
+
+**[Desktop-Notifications.md](./Desktop-Notifications.md)**
+Guide to setting up desktop notifications for Fabric commands. Useful for long-running tasks and multitasking scenarios with cross-platform notification support.
+
+**[Shell-Completions.md](./Shell-Completions.md)**
+Instructions for setting up intelligent tab completion for Fabric in Zsh, Bash, and Fish shells. Includes automated installation and manual setup options.
+
+**[Gemini-TTS.md](./Gemini-TTS.md)**
+Complete guide for using Google Gemini's text-to-speech features with Fabric. Covers voice selection, audio generation, and integration with Fabric patterns.
+
+### Development & Architecture
+
+**[Automated-ChangeLog.md](./Automated-ChangeLog.md)**
+Technical documentation outlining the automated CHANGELOG system architecture for CI/CD integration. Details the infrastructure and workflow for maintainers.
+
+**[Project-Restructured.md](./Project-Restructured.md)**
+Project restructuring plan and architectural decisions. Documents the transition to standard Go conventions and project organization improvements.
+
+**[NOTES.md](./NOTES.md)**
+Development notes on refactoring efforts, model management improvements, and architectural changes. Includes technical details on vendor and model abstraction.
+
+### Audio Resources
+
+**[voices/README.md](./voices/README.md)**
+Index of Gemini TTS voice samples demonstrating different AI voice characteristics available in Fabric.
+
+## 🗂️ Additional Resources
+
+### Configuration Files
+
+- `./notification-config.yaml` - Example notification configuration
+
+### Images
+
+- `images/` - Screenshots and visual documentation assets
+  - `fabric-logo-gif.gif` - Animated Fabric logo
+  - `fabric-summarize.png` - Screenshot of summarization feature
+  - `svelte-preview.png` - Web interface preview
+
+## 🚀 Quick Start
+
+New to Fabric? Start with these essential docs:
+
+1. **[../README.md](../README.md)** - Main project README with installation and basic usage
+2. **[Shell-Completions.md](./Shell-Completions.md)** - Set up tab completion for better CLI experience
+3. **[YouTube-Processing.md](./YouTube-Processing.md)** - Learn one of Fabric's most popular features
+4. **[Desktop-Notifications.md](./Desktop-Notifications.md)** - Get notified when long tasks complete
+
+## 🔧 For Contributors
+
+Contributing to Fabric? These docs are essential:
+
+1. **[./CONTRIBUTING.md](./CONTRIBUTING.md)** - Contribution guidelines and setup
+2. **[Automated-Changelog-Usage.md](./Automated-Changelog-Usage.md)** - Required workflow for PR submissions
+3. **[Project-Restructured.md](./Project-Restructured.md)** - Understanding project architecture
+4. **[NOTES.md](./NOTES.md)** - Current development priorities and patterns
+
+## 📝 Documentation Standards
+
+When adding new documentation:
+
+- Use clear, descriptive filenames
+- Include practical examples and use cases
+- Update this README index with your new docs
+- Follow the established markdown formatting conventions
+- Test all code examples before publication
+
+---
+
+*For general help and support, see [./SUPPORT.md](./SUPPORT.md)*
--- a/docs/SECURITY.md
+++ b/docs/SECURITY.md
@@ -0,0 +1,158 @@
+# Security Policy
+
+## Supported Versions
+
+We aim to provide security updates for the latest version of Fabric.
+
+We recommend always using the latest version of Fabric for security fixes and improvements.
+
+## Reporting Security Vulnerabilities
+
+**Please DO NOT report security vulnerabilities through public GitHub issues.**
+
+### Preferred Reporting Method
+
+Send security reports directly to: **<kayvan@sylvan.com>** and CC to the project maintainer at **<daniel@danielmiessler.com>**
+
+### What to Include
+
+Please provide the following information:
+
+1. **Vulnerability Type**: What kind of security issue (e.g., injection, authentication bypass, etc.)
+2. **Affected Components**: Which parts of Fabric are affected
+3. **Impact Assessment**: What could an attacker accomplish
+4. **Reproduction Steps**: Clear steps to reproduce the vulnerability
+5. **Proposed Fix**: If you have suggestions for remediation
+6. **Disclosure Timeline**: Your preferred timeline for public disclosure
+
+### Example Report Format
+
+```text
+Subject: [SECURITY] Brief description of vulnerability
+
+Vulnerability Type: SQL Injection
+Affected Component: Pattern database queries
+Impact: Potential data exposure
+Severity: High
+
+Reproduction Steps:
+1. Navigate to...
+2. Submit payload: ...
+3. Observe...
+
+Evidence:
+[Screenshots, logs, or proof of concept]
+
+Suggested Fix:
+Use parameterized queries instead of string concatenation...
+```
+
+## Security Considerations
+
+### API Keys and Secrets
+
+- Never commit API keys to the repository
+- Store secrets in environment variables or secure configuration
+- Use the built-in setup process for key management
+- Regularly rotate API keys
+
+### Input Validation
+
+- All user inputs are validated before processing
+- Special attention to pattern definitions and user content
+- URL validation for web scraping features
+
+### AI Provider Integration
+
+- Secure communication with AI providers (HTTPS/TLS)
+- Token handling follows provider best practices
+- No sensitive data logged or cached unencrypted
+
+### Network Security
+
+- Web server endpoints properly authenticated when required
+- CORS policies appropriately configured
+- Rate limiting implemented where necessary
+
+## Vulnerability Response Process
+
+1. **Report Received**: We'll acknowledge receipt within 24 hours
+2. **Initial Assessment**: We'll evaluate severity and impact within 72 hours
+3. **Investigation**: We'll investigate and develop fixes
+4. **Fix Development**: We'll create and test patches
+5. **Coordinated Disclosure**: We'll work with reporter on disclosure timeline
+6. **Release**: We'll release patched version with security advisory
+
+### Timeline Expectations
+
+- **Critical**: 1-7 days
+- **High**: 7-30 days
+- **Medium**: 30-90 days
+- **Low**: Next scheduled release
+
+## Bug Bounty
+
+We don't currently offer a formal bug bounty program, but we deeply appreciate security research and will:
+
+- Acknowledge contributors in release notes
+- Provide credit in security advisories
+- Consider swag or small rewards for significant findings
+
+## Security Best Practices for Users
+
+### Installation
+
+- Download Fabric only from official sources
+- Verify checksums when available
+- Keep installations up to date
+
+### Configuration
+
+- Use strong, unique API keys
+- Don't share configuration files containing secrets
+- Set appropriate file permissions on config directories
+
+### Usage
+
+- Be cautious with patterns that process sensitive data
+- Review AI provider terms for data handling
+- Consider using local models for sensitive content
+
+## Known Security Limitations
+
+### AI Provider Dependencies
+
+Fabric relies on external AI providers. Security depends partly on:
+
+- Provider security practices
+- Data transmission security
+- Provider data handling policies
+
+### Pattern Execution
+
+Custom patterns could potentially:
+
+- Process sensitive inputs inappropriately
+- Generate outputs containing sensitive information
+- Be used for adversarial prompt injection
+
+**Recommendation**: Review patterns carefully, especially those from untrusted sources.
+
+## Security Updates
+
+Security updates are distributed through:
+
+- GitHub Releases with security tags
+- Security advisories on GitHub
+- Project documentation updates
+
+Subscribe to the repository to receive notifications about security updates.
+
+## Contact
+
+For non-security issues, please use GitHub issues.
+For security concerns, email: **<kayvan@sylvan.com>** and CC to **<daniel@danielmiessler.com>**
+
+---
+
+*We take security seriously and appreciate the security research community's help in keeping Fabric secure.*
--- a/docs/SUPPORT.md
+++ b/docs/SUPPORT.md
@@ -0,0 +1,148 @@
+# Support
+
+## Getting Help with Fabric
+
+Need help with Fabric? Here are the best ways to get assistance:
+
+## 📖 Documentation First
+
+Before reaching out, check these resources:
+
+- **[README.md](../README.md)** - Installation, usage, and examples
+- **[docs/](./README.md)** - Detailed documentation
+- **[Patterns](../data/patterns/)** - Browse available AI patterns
+
+## 🐛 Bug Reports
+
+Found a bug? Please create an issue:
+
+**[Report a Bug](https://github.com/danielmiessler/fabric/issues/new?template=bug.yml)**
+
+Include:
+
+- Fabric version (`fabric --version`)
+- Operating system
+- Steps to reproduce
+- Expected vs actual behavior
+- Error messages/logs
+
+## 💡 Feature Requests
+
+Have an idea for Fabric? We'd love to hear it:
+
+**[Request a Feature](https://github.com/danielmiessler/fabric/issues/new)**
+
+Describe:
+
+- What you want to achieve
+- Why it would be useful
+- How you envision it working
+- Any alternatives you've considered
+
+## 🤔 Questions & Discussions
+
+For general questions, usage help, or community discussion:
+
+**[GitHub Discussions](https://github.com/danielmiessler/fabric/discussions)**
+
+Great for:
+
+- "How do I...?" questions
+- Sharing patterns you've created
+- Getting community advice
+- Feature brainstorming
+
+## 🏷️ Issue Labels
+
+When creating issues, maintainers will add appropriate labels:
+
+- `bug` - Something isn't working
+- `enhancement` - New feature request
+- `documentation` - Documentation improvements
+- `help wanted` - Community contributions welcome
+- `good first issue` - Great for new contributors
+- `question` - General questions
+- `pattern` - Related to AI patterns
+
+## 📋 Issue Templates
+
+We provide templates to help you create detailed reports:
+
+- **Bug Report** - Structured bug reporting
+- **Feature Request** - Detailed feature proposals
+- **Pattern Submission** - New pattern contributions
+
+## 🔒 Security Issues
+
+**DO NOT create public issues for security vulnerabilities.**
+
+See our [Security Policy](./SECURITY.md) for proper reporting procedures.
+
+## ⚡ Response Times
+
+We're a community-driven project with volunteer maintainers:
+
+- **Bugs**: We aim to acknowledge within 48 hours
+- **Features**: Response time varies based on complexity
+- **Questions**: Community often responds quickly
+- **Security**: See security policy for timelines
+
+## 🛠️ Self-Help Tips
+
+Before creating an issue, try:
+
+1. **Update Fabric**: `go install github.com/danielmiessler/fabric/cmd/fabric@latest`
+2. **Check existing issues**: Someone might have the same problem
+3. **Run setup**: `fabric --setup` can fix configuration issues
+4. **Test minimal example**: Isolate the problem
+
+## 🤝 Community Guidelines
+
+When asking for help:
+
+- Be specific and provide context
+- Include relevant details and error messages
+- Be patient - maintainers are volunteers
+- Help others when you can
+- Say thanks when someone helps you
+
+## 📞 Emergency Contact
+
+For urgent security issues only:
+
+- Email: <security@fabric.ai> (if available)
+- Maintainer: <daniel@danielmiessler.com>
+
+## 🎯 What We Can Help With
+
+✅ **We can help with:**
+
+- Installation and setup issues
+- Usage questions and examples
+- Bug reports and fixes
+- Feature discussions
+- Pattern creation guidance
+- Integration questions
+
+❌ **We cannot help with:**
+
+- Custom development for your specific use case
+- Troubleshooting your specific AI provider issues
+- General AI or programming tutorials
+- Commercial support agreements
+
+## 💪 Contributing Back
+
+The best way to get help is to help others:
+
+- Answer questions in discussions
+- Improve documentation
+- Share useful patterns
+- Report bugs clearly
+- Review pull requests
+
+See our [Contributing Guide](./CONTRIBUTING.md) for details.
+
+---
+
+*Remember: We're all here to make Fabric better. Be kind, be helpful, and let's build something amazing together!*
--- a/docs/Using-Speech-To-Text.md
+++ b/docs/Using-Speech-To-Text.md
@@ -0,0 +1,139 @@
+# Using Speech-To-Text (STT) with Fabric
+
+Fabric supports speech-to-text transcription of audio and video files using OpenAI's transcription models. This feature allows you to convert spoken content into text that can then be processed through Fabric's patterns.
+
+## Overview
+
+The STT feature integrates OpenAI's Whisper and GPT-4o transcription models to convert audio/video files into text. The transcribed text is automatically passed as input to your chosen pattern or chat session.
+
+## Requirements
+
+- OpenAI API key configured in Fabric
+- For files larger than 25MB: `ffmpeg` installed on your system
+- Supported audio/video formats: `.mp3`, `.mp4`, `.mpeg`, `.mpga`, `.m4a`, `.wav`, `.webm`
+
+## Basic Usage
+
+### Simple Transcription
+
+To transcribe an audio file and send the result to a pattern:
+
+```bash
+fabric --transcribe-file /path/to/audio.mp3 --transcribe-model whisper-1 --pattern summarize
+```
+
+### Transcription Only
+
+To just transcribe a file without applying a pattern:
+
+```bash
+fabric --transcribe-file /path/to/audio.mp3 --transcribe-model whisper-1
+```
+
+## Command Line Flags
+
+### Required Flags
+
+- `--transcribe-file`: Path to the audio or video file to transcribe
+- `--transcribe-model`: Model to use for transcription (required when using transcription)
+
+### Optional Flags
+
+- `--split-media-file`: Automatically split files larger than 25MB into chunks using ffmpeg
+
+## Available Models
+
+You can list all available transcription models with:
+
+```bash
+fabric --list-transcription-models
+```
+
+Currently supported models:
+
+- `whisper-1`: OpenAI's Whisper model
+- `gpt-4o-mini-transcribe`: GPT-4o Mini transcription model
+- `gpt-4o-transcribe`: GPT-4o transcription model
+
+## File Size Handling
+
+### Files Under 25MB
+
+Files under the 25MB limit are processed directly without any special handling.
+
+### Files Over 25MB
+
+For files exceeding OpenAI's 25MB limit, you have two options:
+
+1. **Manual handling**: The command will fail with an error message suggesting to use `--split-media-file`
+2. **Automatic splitting**: Use the `--split-media-file` flag to automatically split the file into chunks
+
+```bash
+fabric --transcribe-file large_recording.mp4 --transcribe-model whisper-1 --split-media-file --pattern summarize
+```
+
+When splitting is enabled:
+
+- Fabric uses `ffmpeg` to split the file into 10-minute segments initially
+- If segments are still too large, it reduces the segment time by half repeatedly
+- All segments are transcribed and the results are concatenated
+- Temporary files are automatically cleaned up after processing
+
+## Integration with Patterns
+
+The transcribed text is seamlessly integrated into Fabric's workflow:
+
+1. File is transcribed using the specified model
+2. Transcribed text becomes the input message
+3. Text is sent to the specified pattern or chat session
+
+### Example Workflows
+
+**Meeting transcription and summarization:**
+
+```bash
+fabric --transcribe-file meeting.mp4 --transcribe-model gpt-4o-transcribe --pattern summarize
+```
+
+**Interview analysis:**
+
+```bash
+fabric --transcribe-file interview.mp3 --transcribe-model whisper-1 --pattern extract_insights
+```
+
+**Large video file processing:**
+
+```bash
+fabric --transcribe-file presentation.mp4 --transcribe-model gpt-4o-transcribe --split-media-file --pattern create_summary
+```
+
+## Error Handling
+
+Common error scenarios:
+
+- **Unsupported format**: Only the listed audio/video formats are supported
+- **File too large**: Use `--split-media-file` for files over 25MB
+- **Missing ffmpeg**: Install ffmpeg for automatic file splitting
+- **Invalid model**: Use `--list-transcription-models` to see available models
+- **Missing model**: The `--transcribe-model` flag is required when using `--transcribe-file`
+
+## Technical Details
+
+### Implementation
+
+- Transcription is handled in `internal/cli/transcribe.go:14`
+- OpenAI-specific implementation in `internal/plugins/ai/openai/openai_audio.go:41`
+- File splitting uses ffmpeg with configurable segment duration
+- Supports any vendor that implements the `transcriber` interface
+
+### Processing Pipeline
+
+1. CLI validates file format and size
+2. If file > 25MB and splitting enabled, file is split using ffmpeg
+3. Each file/segment is sent to OpenAI's transcription API
+4. Results are concatenated with spaces between segments
+5. Transcribed text is passed as input to the main Fabric pipeline
+
+### Vendor Support
+
+Currently, only OpenAI is supported for transcription, but the interface allows for future expansion to other vendors that provide transcription capabilities.
--- a/go.mod
+++ b/go.mod
@@ -21,7 +21,7 @@ require (
 	github.com/joho/godotenv v1.5.1
 	github.com/kballard/go-shellquote v0.0.0-20180428030007-95032a82bc51
 	github.com/mattn/go-sqlite3 v1.14.28
-	github.com/ollama/ollama v0.9.0
+	github.com/ollama/ollama v0.11.7
 	github.com/openai/openai-go v1.8.2
 	github.com/otiai10/copy v1.14.1
 	github.com/pkg/errors v0.9.1
--- a/go.sum
+++ b/go.sum
@@ -180,8 +180,8 @@ github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd h1:TRLaZ9cD/w
 github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd/go.mod h1:6dJC0mAP4ikYIbvyc7fijjWJddQyLn8Ig3JB5CqoB9Q=
 github.com/modern-go/reflect2 v1.0.2 h1:xBagoLtFs94CBntxluKeaWgTMpvLxC4ur3nMaC9Gz0M=
 github.com/modern-go/reflect2 v1.0.2/go.mod h1:yWuevngMOJpCy52FWWMvUC8ws7m/LJsjYzDa0/r8luk=
-github.com/ollama/ollama v0.9.0 h1:GvdGhi8G/QMnFrY0TMLDy1bXua+Ify8KTkFe4ZY/OZs=
-github.com/ollama/ollama v0.9.0/go.mod h1:aio9yQ7nc4uwIbn6S0LkGEPgn8/9bNQLL1nHuH+OcD0=
+github.com/ollama/ollama v0.11.7 h1:CuYjaJ/YEnvLDpJocJbbVdpdVFyGA/OP6lKFyzZD4dI=
+github.com/ollama/ollama v0.11.7/go.mod h1:9+1//yWPsDE2u+l1a5mpaKrYw4VdnSsRU3ioq5BvMms=
 github.com/onsi/gomega v1.34.1 h1:EUMJIKUjM8sKjYbtxQI9A4z2o+rruxnzNvpknOXie6k=
 github.com/onsi/gomega v1.34.1/go.mod h1:kU1QgUvBDLXBJq618Xvm2LUX6rSAfRaFRTcdOeDLwwY=
 github.com/openai/openai-go v1.8.2 h1:UqSkJ1vCOPUpz9Ka5tS0324EJFEuOvMc+lA/EarJWP8=
--- a/internal/cli/chat.go
+++ b/internal/cli/chat.go
@@ -9,6 +9,7 @@ import (

 	"github.com/danielmiessler/fabric/internal/core"
 	"github.com/danielmiessler/fabric/internal/domain"
+	debuglog "github.com/danielmiessler/fabric/internal/log"
 	"github.com/danielmiessler/fabric/internal/plugins/db/fsdb"
 	"github.com/danielmiessler/fabric/internal/tools/notifications"
 )
@@ -18,6 +19,19 @@ func handleChatProcessing(currentFlags *Flags, registry *core.PluginRegistry, me
 	if messageTools != "" {
 		currentFlags.AppendMessage(messageTools)
 	}
+	// Check for pattern-specific model via environment variable
+	if currentFlags.Pattern != "" && currentFlags.Model == "" {
+		envVar := "FABRIC_MODEL_" + strings.ToUpper(strings.ReplaceAll(currentFlags.Pattern, "-", "_"))
+		if modelSpec := os.Getenv(envVar); modelSpec != "" {
+			parts := strings.SplitN(modelSpec, "|", 2)
+			if len(parts) == 2 {
+				currentFlags.Vendor = parts[0]
+				currentFlags.Model = parts[1]
+			} else {
+				currentFlags.Model = modelSpec
+			}
+		}
+	}

 	var chatter *core.Chatter
 	if chatter, err = registry.GetChatter(currentFlags.Model, currentFlags.ModelContextLength,
@@ -122,7 +136,7 @@ func handleChatProcessing(currentFlags *Flags, registry *core.PluginRegistry, me
 	if chatOptions.Notification {
 		if err = sendNotification(chatOptions, chatReq.PatternName, result); err != nil {
 			// Log notification error but don't fail the main command
-			fmt.Fprintf(os.Stderr, "Failed to send notification: %v\n", err)
+			debuglog.Log("Failed to send notification: %v\n", err)
 		}
 	}

--- a/internal/cli/cli.go
+++ b/internal/cli/cli.go
@@ -3,10 +3,10 @@ package cli
 import (
 	"encoding/json"
 	"fmt"
-	"os"
 	"strings"

 	"github.com/danielmiessler/fabric/internal/core"
+	debuglog "github.com/danielmiessler/fabric/internal/log"
 	"github.com/danielmiessler/fabric/internal/plugins/ai/openai"
 	"github.com/danielmiessler/fabric/internal/tools/converter"
 	"github.com/danielmiessler/fabric/internal/tools/youtube"
@@ -34,7 +34,7 @@ func Cli(version string) (err error) {
 	var registry, err2 = initializeFabric()
 	if err2 != nil {
 		if !currentFlags.Setup {
-			fmt.Fprintln(os.Stderr, err2.Error())
+			debuglog.Log("%s\n", err2.Error())
 			currentFlags.Setup = true
 		}
 		// Return early if registry is nil to prevent panics in subsequent handlers
@@ -74,6 +74,15 @@ func Cli(version string) (err error) {
 		return
 	}

+	// Handle transcription if specified
+	if currentFlags.TranscribeFile != "" {
+		var transcriptionMessage string
+		if transcriptionMessage, err = handleTranscription(currentFlags, registry); err != nil {
+			return
+		}
+		currentFlags.Message = AppendMessage(currentFlags.Message, transcriptionMessage)
+	}
+
 	// Process HTML readability if needed
 	if currentFlags.HtmlReadability {
 		if msg, cleanErr := converter.HtmlReadability(currentFlags.Message); cleanErr != nil {
--- a/internal/cli/flags.go
+++ b/internal/cli/flags.go
@@ -13,6 +13,7 @@ import (

 	"github.com/danielmiessler/fabric/internal/chat"
 	"github.com/danielmiessler/fabric/internal/domain"
+	debuglog "github.com/danielmiessler/fabric/internal/log"
 	"github.com/danielmiessler/fabric/internal/util"
 	"github.com/jessevdk/go-flags"
 	"golang.org/x/text/language"
@@ -66,6 +67,7 @@ type Flags struct {
 	PrintSession                    string               `long:"printsession" description:"Print session"`
 	HtmlReadability                 bool                 `long:"readability" description:"Convert HTML input into a clean, readable view"`
 	InputHasVars                    bool                 `long:"input-has-vars" description:"Apply variables to user input"`
+	NoVariableReplacement           bool                 `long:"no-variable-replacement" description:"Disable pattern variable replacement"`
 	DryRun                          bool                 `long:"dry-run" description:"Show what would be sent to the model without actually sending it"`
 	Serve                           bool                 `long:"serve" description:"Serve the Fabric Rest API"`
 	ServeOllama                     bool                 `long:"serveOllama" description:"Serve the Fabric Rest API with ollama endpoints"`
@@ -91,23 +93,21 @@ type Flags struct {
 	ThinkStartTag                   string               `long:"think-start-tag" yaml:"thinkStartTag" description:"Start tag for thinking sections" default:"<think>"`
 	ThinkEndTag                     string               `long:"think-end-tag" yaml:"thinkEndTag" description:"End tag for thinking sections" default:"</think>"`
 	DisableResponsesAPI             bool                 `long:"disable-responses-api" yaml:"disableResponsesAPI" description:"Disable OpenAI Responses API (default: false)"`
+	TranscribeFile                  string               `long:"transcribe-file" yaml:"transcribeFile" description:"Audio or video file to transcribe"`
+	TranscribeModel                 string               `long:"transcribe-model" yaml:"transcribeModel" description:"Model to use for transcription (separate from chat model)"`
+	SplitMediaFile                  bool                 `long:"split-media-file" yaml:"splitMediaFile" description:"Split audio/video files larger than 25MB using ffmpeg"`
 	Voice                           string               `long:"voice" yaml:"voice" description:"TTS voice name for supported models (e.g., Kore, Charon, Puck)" default:"Kore"`
 	ListGeminiVoices                bool                 `long:"list-gemini-voices" description:"List all available Gemini TTS voices"`
+	ListTranscriptionModels         bool                 `long:"list-transcription-models" description:"List all available transcription models"`
 	Notification                    bool                 `long:"notification" yaml:"notification" description:"Send desktop notification when command completes"`
 	NotificationCommand             string               `long:"notification-command" yaml:"notificationCommand" description:"Custom command to run for notifications (overrides built-in notifications)"`
 	Thinking                        domain.ThinkingLevel `long:"thinking" yaml:"thinking" description:"Set reasoning/thinking level (e.g., off, low, medium, high, or numeric tokens for Anthropic or Google Gemini)"`
-}
-
-var debug = false
-
-func Debugf(format string, a ...interface{}) {
-	if debug {
-		fmt.Printf("DEBUG: "+format, a...)
-	}
+	Debug                           int                  `long:"debug" description:"Set debug level (0=off, 1=basic, 2=detailed, 3=trace)" default:"0"`
 }

 // Init Initialize flags. returns a Flags struct and an error
 func Init() (ret *Flags, err error) {
+	debuglog.SetLevel(debuglog.LevelFromInt(parseDebugLevel(os.Args[1:])))
 	// Track which yaml-configured flags were set on CLI
 	usedFlags := make(map[string]bool)
 	yamlArgsScan := os.Args[1:]
@@ -123,11 +123,11 @@ func Init() (ret *Flags, err error) {
 			shortTag := field.Tag.Get("short")
 			if longTag != "" {
 				flagToYamlTag[longTag] = yamlTag
-				Debugf("Mapped long flag %s to yaml tag %s\n", longTag, yamlTag)
+				debuglog.Debug(debuglog.Detailed, "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)
+				debuglog.Debug(debuglog.Detailed, "Mapped short flag %s to yaml tag %s\n", shortTag, yamlTag)
 			}
 		}
 	}
@@ -139,7 +139,7 @@ func Init() (ret *Flags, err error) {
 		if flag != "" {
 			if yamlTag, exists := flagToYamlTag[flag]; exists {
 				usedFlags[yamlTag] = true
-				Debugf("CLI flag used: %s (yaml: %s)\n", flag, yamlTag)
+				debuglog.Debug(debuglog.Detailed, "CLI flag used: %s (yaml: %s)\n", flag, yamlTag)
 			}
 		}
 	}
@@ -151,6 +151,7 @@ func Init() (ret *Flags, err error) {
 	if args, err = parser.Parse(); err != nil {
 		return
 	}
+	debuglog.SetLevel(debuglog.LevelFromInt(ret.Debug))

 	// Check to see if a ~/.config/fabric/config.yaml config file exists (only when user didn't specify a config)
 	if ret.Config == "" {
@@ -158,7 +159,7 @@ func Init() (ret *Flags, err error) {
 		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)
+			debuglog.Debug(debuglog.Detailed, "Could not determine default config path: %v\n", err)
 		}
 	}

@@ -183,13 +184,13 @@ func Init() (ret *Flags, err error) {
 					if flagField.CanSet() {
 						if yamlField.Type() != flagField.Type() {
 							if err := assignWithConversion(flagField, yamlField); err != nil {
-								Debugf("Type conversion failed for %s: %v\n", yamlTag, err)
+								debuglog.Debug(debuglog.Detailed, "Type conversion failed for %s: %v\n", yamlTag, err)
 								continue
 							}
 						} else {
 							flagField.Set(yamlField)
 						}
-						Debugf("Applied YAML value for %s: %v\n", yamlTag, yamlField.Interface())
+						debuglog.Debug(debuglog.Detailed, "Applied YAML value for %s: %v\n", yamlTag, yamlField.Interface())
 					}
 				}
 			}
@@ -215,6 +216,22 @@ func Init() (ret *Flags, err error) {
 	return
 }

+func parseDebugLevel(args []string) int {
+	for i := 0; i < len(args); i++ {
+		arg := args[i]
+		if arg == "--debug" && i+1 < len(args) {
+			if lvl, err := strconv.Atoi(args[i+1]); err == nil {
+				return lvl
+			}
+		} else if strings.HasPrefix(arg, "--debug=") {
+			if lvl, err := strconv.Atoi(strings.TrimPrefix(arg, "--debug=")); err == nil {
+				return lvl
+			}
+		}
+	}
+	return 0
+}
+
 func extractFlag(arg string) string {
 	var flag string
 	if strings.HasPrefix(arg, "--") {
@@ -284,7 +301,7 @@ func loadYAMLConfig(configPath string) (*Flags, error) {
 		return nil, fmt.Errorf("error parsing config file: %w", err)
 	}

-	Debugf("Config: %v\n", config)
+	debuglog.Debug(debuglog.Detailed, "Config: %v\n", config)

 	return config, nil
 }
@@ -460,13 +477,14 @@ func (o *Flags) BuildChatOptions() (ret *domain.ChatOptions, err error) {

 func (o *Flags) BuildChatRequest(Meta string) (ret *domain.ChatRequest, err error) {
 	ret = &domain.ChatRequest{
-		ContextName:      o.Context,
-		SessionName:      o.Session,
-		PatternName:      o.Pattern,
-		StrategyName:     o.Strategy,
-		PatternVariables: o.PatternVariables,
-		InputHasVars:     o.InputHasVars,
-		Meta:             Meta,
+		ContextName:           o.Context,
+		SessionName:           o.Session,
+		PatternName:           o.Pattern,
+		StrategyName:          o.Strategy,
+		PatternVariables:      o.PatternVariables,
+		InputHasVars:          o.InputHasVars,
+		NoVariableReplacement: o.NoVariableReplacement,
+		Meta:                  Meta,
 	}

 	var message *chat.ChatCompletionMessage
--- a/internal/cli/listing.go
+++ b/internal/cli/listing.go
@@ -5,6 +5,8 @@ import (
 	"os"
 	"strconv"

+	openai "github.com/openai/openai-go"
+
 	"github.com/danielmiessler/fabric/internal/core"
 	"github.com/danielmiessler/fabric/internal/plugins/ai"
 	"github.com/danielmiessler/fabric/internal/plugins/ai/gemini"
@@ -39,7 +41,7 @@ func handleListingCommands(currentFlags *Flags, fabricDb *fsdb.Db, registry *cor
 		if currentFlags.ShellCompleteOutput {
 			models.Print(true)
 		} else {
-			models.PrintWithVendor(false)
+			models.PrintWithVendor(false, registry.Defaults.Vendor.Value, registry.Defaults.Model.Value)
 		}
 		return true, nil
 	}
@@ -70,5 +72,30 @@ func handleListingCommands(currentFlags *Flags, fabricDb *fsdb.Db, registry *cor
 		return true, nil
 	}

+	if currentFlags.ListTranscriptionModels {
+		listTranscriptionModels(currentFlags.ShellCompleteOutput)
+		return true, nil
+	}
+
 	return false, nil
 }
+
+// listTranscriptionModels lists all available transcription models
+func listTranscriptionModels(shellComplete bool) {
+	models := []string{
+		string(openai.AudioModelWhisper1),
+		string(openai.AudioModelGPT4oMiniTranscribe),
+		string(openai.AudioModelGPT4oTranscribe),
+	}
+
+	if shellComplete {
+		for _, model := range models {
+			fmt.Println(model)
+		}
+	} else {
+		fmt.Println("Available transcription models:")
+		for _, model := range models {
+			fmt.Printf("  %s\n", model)
+		}
+	}
+}
--- a/internal/cli/output.go
+++ b/internal/cli/output.go
@@ -7,6 +7,7 @@ import (
 	"strings"

 	"github.com/atotto/clipboard"
+	debuglog "github.com/danielmiessler/fabric/internal/log"
 )

 func CopyToClipboard(message string) (err error) {
@@ -30,7 +31,7 @@ func CreateOutputFile(message string, fileName string) (err error) {
 	if _, err = file.WriteString(message); err != nil {
 		err = fmt.Errorf("error writing to file: %v", err)
 	} else {
-		fmt.Fprintf(os.Stderr, "\n\n[Output also written to %s]\n", fileName)
+		debuglog.Log("\n\n[Output also written to %s]\n", fileName)
 	}
 	return
 }
--- a/internal/cli/transcribe.go
+++ b/internal/cli/transcribe.go
@@ -0,0 +1,35 @@
+package cli
+
+import (
+	"context"
+	"fmt"
+
+	"github.com/danielmiessler/fabric/internal/core"
+)
+
+type transcriber interface {
+	TranscribeFile(ctx context.Context, filePath, model string, split bool) (string, error)
+}
+
+func handleTranscription(flags *Flags, registry *core.PluginRegistry) (message string, err error) {
+	vendorName := flags.Vendor
+	if vendorName == "" {
+		vendorName = "OpenAI"
+	}
+	vendor, ok := registry.VendorManager.VendorsByName[vendorName]
+	if !ok {
+		return "", fmt.Errorf("vendor %s not configured", vendorName)
+	}
+	tr, ok := vendor.(transcriber)
+	if !ok {
+		return "", fmt.Errorf("vendor %s does not support audio transcription", vendorName)
+	}
+	model := flags.TranscribeModel
+	if model == "" {
+		return "", fmt.Errorf("transcription model is required (use --transcribe-model)")
+	}
+	if message, err = tr.TranscribeFile(context.Background(), flags.TranscribeFile, model, flags.SplitMediaFile); err != nil {
+		return
+	}
+	return
+}
--- a/internal/core/chatter.go
+++ b/internal/core/chatter.go
@@ -180,7 +180,7 @@ func (o *Chatter) BuildSession(request *domain.ChatRequest, raw bool) (session *
 	}

 	// Now we know request.Message is not nil, process template variables
-	if request.InputHasVars {
+	if request.InputHasVars && !request.NoVariableReplacement {
 		request.Message.Content, err = template.ApplyTemplate(request.Message.Content, request.PatternVariables, "")
 		if err != nil {
 			return nil, err
@@ -190,7 +190,12 @@ func (o *Chatter) BuildSession(request *domain.ChatRequest, raw bool) (session *
 	var patternContent string
 	inputUsed := false
 	if request.PatternName != "" {
-		pattern, err := o.db.Patterns.GetApplyVariables(request.PatternName, request.PatternVariables, request.Message.Content)
+		var pattern *fsdb.Pattern
+		if request.NoVariableReplacement {
+			pattern, err = o.db.Patterns.GetWithoutVariables(request.PatternName, request.Message.Content)
+		} else {
+			pattern, err = o.db.Patterns.GetApplyVariables(request.PatternName, request.PatternVariables, request.Message.Content)
+		}

 		if err != nil {
 			return nil, fmt.Errorf("could not get pattern %s: %v", request.PatternName, err)
--- a/internal/core/plugin_registry.go
+++ b/internal/core/plugin_registry.go
@@ -10,6 +10,7 @@ import (
 	"strconv"
 	"strings"

+	debuglog "github.com/danielmiessler/fabric/internal/log"
 	"github.com/danielmiessler/fabric/internal/plugins/ai/anthropic"
 	"github.com/danielmiessler/fabric/internal/plugins/ai/azure"
 	"github.com/danielmiessler/fabric/internal/plugins/ai/bedrock"
@@ -20,7 +21,7 @@ import (
 	"github.com/danielmiessler/fabric/internal/plugins/ai/ollama"
 	"github.com/danielmiessler/fabric/internal/plugins/ai/openai"
 	"github.com/danielmiessler/fabric/internal/plugins/ai/openai_compatible"
-	"github.com/danielmiessler/fabric/internal/plugins/ai/perplexity" // Added Perplexity plugin
+	"github.com/danielmiessler/fabric/internal/plugins/ai/perplexity"
 	"github.com/danielmiessler/fabric/internal/plugins/strategy"

 	"github.com/samber/lo"
@@ -339,7 +340,7 @@ func (o *PluginRegistry) GetChatter(model string, modelContextLength int, vendor
 		} else {
 			availableVendors := models.FindGroupsByItem(model)
 			if len(availableVendors) > 1 {
-				fmt.Fprintf(os.Stderr, "Warning: multiple vendors provide model %s: %s. Using %s. Specify --vendor to select a vendor.\n", model, strings.Join(availableVendors, ", "), availableVendors[0])
+				debuglog.Log("Warning: multiple vendors provide model %s: %s. Using %s. Specify --vendor to select a vendor.\n", model, strings.Join(availableVendors, ", "), availableVendors[0])
 			}
 			ret.vendor = vendorManager.FindByName(models.FindGroupsByItemFirst(model))
 		}
--- a/internal/core/plugin_registry_test.go
+++ b/internal/core/plugin_registry_test.go
@@ -10,6 +10,7 @@ import (

 	"github.com/danielmiessler/fabric/internal/chat"
 	"github.com/danielmiessler/fabric/internal/domain"
+	debuglog "github.com/danielmiessler/fabric/internal/log"
 	"github.com/danielmiessler/fabric/internal/plugins"
 	"github.com/danielmiessler/fabric/internal/plugins/ai"
 	"github.com/danielmiessler/fabric/internal/plugins/db/fsdb"
@@ -72,7 +73,12 @@ func TestGetChatter_WarnsOnAmbiguousModel(t *testing.T) {
 	r, w, _ := os.Pipe()
 	oldStderr := os.Stderr
 	os.Stderr = w
-	defer func() { os.Stderr = oldStderr }()
+	// Redirect log output to our pipe to capture unconditional log messages
+	debuglog.SetOutput(w)
+	defer func() {
+		os.Stderr = oldStderr
+		debuglog.SetOutput(oldStderr)
+	}()

 	chatter, err := registry.GetChatter("shared-model", 0, "", "", false, false)
 	w.Close()
@@ -81,8 +87,10 @@ func TestGetChatter_WarnsOnAmbiguousModel(t *testing.T) {
 	if err != nil {
 		t.Fatalf("GetChatter() error = %v", err)
 	}
-	if chatter.vendor.GetName() != "VendorA" {
-		t.Fatalf("expected vendor VendorA, got %s", chatter.vendor.GetName())
+	// Verify that one of the valid vendors was selected (don't care which one due to map iteration randomness)
+	vendorName := chatter.vendor.GetName()
+	if vendorName != "VendorA" && vendorName != "VendorB" {
+		t.Fatalf("expected vendor VendorA or VendorB, got %s", vendorName)
 	}
 	if !strings.Contains(string(warning), "multiple vendors provide model shared-model") {
 		t.Fatalf("expected warning about multiple vendors, got %q", string(warning))
--- a/internal/domain/domain.go
+++ b/internal/domain/domain.go
@@ -13,15 +13,16 @@ const (
 )

 type ChatRequest struct {
-	ContextName      string
-	SessionName      string
-	PatternName      string
-	PatternVariables map[string]string
-	Message          *chat.ChatCompletionMessage
-	Language         string
-	Meta             string
-	InputHasVars     bool
-	StrategyName     string
+	ContextName           string
+	SessionName           string
+	PatternName           string
+	PatternVariables      map[string]string
+	Message               *chat.ChatCompletionMessage
+	Language              string
+	Meta                  string
+	InputHasVars          bool
+	NoVariableReplacement bool
+	StrategyName          string
 }

 type ChatOptions struct {
--- a/internal/log/log.go
+++ b/internal/log/log.go
@@ -0,0 +1,78 @@
+package log
+
+import (
+	"fmt"
+	"io"
+	"os"
+	"sync"
+)
+
+// Level represents the debug verbosity.
+type Level int
+
+const (
+	// Off disables all debug output.
+	Off Level = iota
+	// Basic provides minimal debugging information.
+	Basic
+	// Detailed provides more verbose debugging.
+	Detailed
+	// Trace is the most verbose level.
+	Trace
+)
+
+var (
+	mu     sync.RWMutex
+	level  Level     = Off
+	output io.Writer = os.Stderr
+)
+
+// SetLevel sets the global debug level.
+func SetLevel(l Level) {
+	mu.Lock()
+	level = l
+	mu.Unlock()
+}
+
+// LevelFromInt converts an int to a Level.
+func LevelFromInt(i int) Level {
+	switch {
+	case i <= 0:
+		return Off
+	case i == 1:
+		return Basic
+	case i == 2:
+		return Detailed
+	case i >= 3:
+		return Trace
+	default:
+		return Off
+	}
+}
+
+// Debug writes a debug message if the global level permits.
+func Debug(l Level, format string, a ...interface{}) {
+	mu.RLock()
+	current := level
+	w := output
+	mu.RUnlock()
+	if current >= l {
+		fmt.Fprintf(w, "DEBUG: "+format, a...)
+	}
+}
+
+// Log writes a message unconditionally to stderr.
+// This is for important messages that should always be shown regardless of debug level.
+func Log(format string, a ...interface{}) {
+	mu.RLock()
+	w := output
+	mu.RUnlock()
+	fmt.Fprintf(w, format, a...)
+}
+
+// SetOutput allows overriding the output destination for debug logs.
+func SetOutput(w io.Writer) {
+	mu.Lock()
+	output = w
+	mu.Unlock()
+}
--- a/internal/plugins/ai/anthropic/anthropic.go
+++ b/internal/plugins/ai/anthropic/anthropic.go
@@ -4,7 +4,6 @@ import (
 	"context"
 	"fmt"
 	"net/http"
-	"os"
 	"strconv"
 	"strings"

@@ -12,6 +11,7 @@ import (
 	"github.com/anthropics/anthropic-sdk-go/option"
 	"github.com/danielmiessler/fabric/internal/chat"
 	"github.com/danielmiessler/fabric/internal/domain"
+	debuglog "github.com/danielmiessler/fabric/internal/log"
 	"github.com/danielmiessler/fabric/internal/plugins"
 	"github.com/danielmiessler/fabric/internal/util"
 )
@@ -195,7 +195,7 @@ func (an *Client) SendStream(
 	}
 	stream := an.client.Messages.NewStreaming(ctx, params, reqOpts...)
 	if stream.Err() != nil && len(betas) > 0 {
-		fmt.Fprintf(os.Stderr, "Anthropic beta feature %s failed: %v\n", strings.Join(betas, ","), stream.Err())
+		debuglog.Debug(debuglog.Basic, "Anthropic beta feature %s failed: %v\n", strings.Join(betas, ","), stream.Err())
 		stream = an.client.Messages.NewStreaming(ctx, params)
 	}

@@ -289,7 +289,7 @@ func (an *Client) Send(ctx context.Context, msgs []*chat.ChatCompletionMessage,
 	}
 	if message, err = an.client.Messages.New(ctx, params, reqOpts...); err != nil {
 		if len(betas) > 0 {
-			fmt.Fprintf(os.Stderr, "Anthropic beta feature %s failed: %v\n", strings.Join(betas, ","), err)
+			debuglog.Debug(debuglog.Basic, "Anthropic beta feature %s failed: %v\n", strings.Join(betas, ","), err)
 			if message, err = an.client.Messages.New(ctx, params); err != nil {
 				return
 			}
--- a/internal/plugins/ai/anthropic/oauth.go
+++ b/internal/plugins/ai/anthropic/oauth.go
@@ -9,11 +9,11 @@ import (
 	"fmt"
 	"io"
 	"net/http"
-	"os"
 	"os/exec"
 	"strings"
 	"time"

+	debuglog "github.com/danielmiessler/fabric/internal/log"
 	"github.com/danielmiessler/fabric/internal/util"
 	"golang.org/x/oauth2"
 )
@@ -77,7 +77,7 @@ func (t *OAuthTransport) getValidToken(tokenIdentifier string) (string, error) {
 	}
 	// If no token exists, run OAuth flow
 	if token == nil {
-		fmt.Fprintln(os.Stderr, "No OAuth token found, initiating authentication...")
+		debuglog.Log("No OAuth token found, initiating authentication...\n")
 		newAccessToken, err := RunOAuthFlow(tokenIdentifier)
 		if err != nil {
 			return "", fmt.Errorf("failed to authenticate: %w", err)
@@ -87,11 +87,11 @@ func (t *OAuthTransport) getValidToken(tokenIdentifier string) (string, error) {

 	// Check if token needs refresh (5 minute buffer)
 	if token.IsExpired(5) {
-		fmt.Fprintln(os.Stderr, "OAuth token expired, refreshing...")
+		debuglog.Log("OAuth token expired, refreshing...\n")
 		newAccessToken, err := RefreshToken(tokenIdentifier)
 		if err != nil {
 			// If refresh fails, try re-authentication
-			fmt.Fprintln(os.Stderr, "Token refresh failed, re-authenticating...")
+			debuglog.Log("Token refresh failed, re-authenticating...\n")
 			newAccessToken, err = RunOAuthFlow(tokenIdentifier)
 			if err != nil {
 				return "", fmt.Errorf("failed to refresh or re-authenticate: %w", err)
@@ -143,13 +143,13 @@ func RunOAuthFlow(tokenIdentifier string) (token string, err error) {
 		if err == nil && existingToken != nil {
 			// If token exists but is expired, try refreshing first
 			if existingToken.IsExpired(5) {
-				fmt.Fprintln(os.Stderr, "Found expired OAuth token, attempting refresh...")
+				debuglog.Log("Found expired OAuth token, attempting refresh...\n")
 				refreshedToken, refreshErr := RefreshToken(tokenIdentifier)
 				if refreshErr == nil {
-					fmt.Fprintln(os.Stderr, "Token refresh successful")
+					debuglog.Log("Token refresh successful\n")
 					return refreshedToken, nil
 				}
-				fmt.Fprintf(os.Stderr, "Token refresh failed (%v), proceeding with full OAuth flow...\n", refreshErr)
+				debuglog.Log("Token refresh failed (%v), proceeding with full OAuth flow...\n", refreshErr)
 			} else {
 				// Token exists and is still valid
 				return existingToken.AccessToken, nil
@@ -176,10 +176,10 @@ func RunOAuthFlow(tokenIdentifier string) (token string, err error) {
 		oauth2.SetAuthURLParam("state", verifier),
 	)

-	fmt.Fprintln(os.Stderr, "Open the following URL in your browser. Fabric would like to authorize:")
-	fmt.Fprintln(os.Stderr, authURL)
+	debuglog.Log("Open the following URL in your browser. Fabric would like to authorize:\n")
+	debuglog.Log("%s\n", authURL)
 	openBrowser(authURL)
-	fmt.Fprint(os.Stderr, "Paste the authorization code here: ")
+	debuglog.Log("Paste the authorization code here: ")
 	var code string
 	fmt.Scanln(&code)
 	parts := strings.SplitN(code, "#", 2)
--- a/internal/plugins/ai/models.go
+++ b/internal/plugins/ai/models.go
@@ -18,7 +18,8 @@ type VendorsModels struct {

 // PrintWithVendor prints models including their vendor on each line.
 // When shellCompleteList is true, output is suitable for shell completion.
-func (o *VendorsModels) PrintWithVendor(shellCompleteList bool) {
+// Default vendor and model are highlighted with an asterisk.
+func (o *VendorsModels) PrintWithVendor(shellCompleteList bool, defaultVendor, defaultModel string) {
 	if !shellCompleteList {
 		fmt.Printf("\n%v:\n", o.SelectionLabel)
 	}
@@ -42,7 +43,11 @@ func (o *VendorsModels) PrintWithVendor(shellCompleteList bool) {
 			if shellCompleteList {
 				fmt.Printf("%s|%s\n", groupItems.Group, item)
 			} else {
-				fmt.Printf("\t[%d]\t%s|%s\n", currentItemIndex, groupItems.Group, item)
+				mark := "       "
+				if strings.EqualFold(groupItems.Group, defaultVendor) && strings.EqualFold(item, defaultModel) {
+					mark = "      *"
+				}
+				fmt.Printf("%s\t[%d]\t%s|%s\n", mark, currentItemIndex, groupItems.Group, item)
 			}
 		}
 	}
--- a/internal/plugins/ai/models_test.go
+++ b/internal/plugins/ai/models_test.go
@@ -1,6 +1,9 @@
 package ai

 import (
+	"io"
+	"os"
+	"strings"
 	"testing"
 )

@@ -31,3 +34,23 @@ func TestFindVendorsByModel(t *testing.T) {
 		t.Fatalf("FindVendorsByModel() = %v, want %v", foundVendors, []string{"vendor1"})
 	}
 }
+
+func TestPrintWithVendorMarksDefault(t *testing.T) {
+	vendors := NewVendorsModels()
+	vendors.AddGroupItems("vendor1", []string{"model1"}...)
+	vendors.AddGroupItems("vendor2", []string{"model2"}...)
+
+	r, w, _ := os.Pipe()
+	oldStdout := os.Stdout
+	os.Stdout = w
+
+	vendors.PrintWithVendor(false, "vendor2", "model2")
+
+	w.Close()
+	os.Stdout = oldStdout
+	out, _ := io.ReadAll(r)
+
+	if !strings.Contains(string(out), "      *\t[2]\tvendor2|model2") {
+		t.Fatalf("default model not marked: %s", out)
+	}
+}
--- a/internal/plugins/ai/openai/openai_audio.go
+++ b/internal/plugins/ai/openai/openai_audio.go
@@ -0,0 +1,153 @@
+package openai
+
+import (
+	"bytes"
+	"context"
+	"fmt"
+	"os"
+	"os/exec"
+	"path/filepath"
+	"slices"
+	"sort"
+	"strings"
+
+	debuglog "github.com/danielmiessler/fabric/internal/log"
+
+	openai "github.com/openai/openai-go"
+)
+
+// MaxAudioFileSize defines the maximum allowed size for audio uploads (25MB).
+const MaxAudioFileSize int64 = 25 * 1024 * 1024
+
+// AllowedTranscriptionModels lists the models supported for transcription.
+var AllowedTranscriptionModels = []string{
+	string(openai.AudioModelWhisper1),
+	string(openai.AudioModelGPT4oMiniTranscribe),
+	string(openai.AudioModelGPT4oTranscribe),
+}
+
+// allowedAudioExtensions defines the supported input file extensions.
+var allowedAudioExtensions = map[string]struct{}{
+	".mp3":  {},
+	".mp4":  {},
+	".mpeg": {},
+	".mpga": {},
+	".m4a":  {},
+	".wav":  {},
+	".webm": {},
+}
+
+// TranscribeFile transcribes the given audio file using the specified model. If the file
+// exceeds the size limit, it can optionally be split into chunks using ffmpeg.
+func (o *Client) TranscribeFile(ctx context.Context, filePath, model string, split bool) (string, error) {
+	if ctx == nil {
+		ctx = context.Background()
+	}
+
+	if !slices.Contains(AllowedTranscriptionModels, model) {
+		return "", fmt.Errorf("model '%s' is not supported for transcription", model)
+	}
+
+	ext := strings.ToLower(filepath.Ext(filePath))
+	if _, ok := allowedAudioExtensions[ext]; !ok {
+		return "", fmt.Errorf("unsupported audio format '%s'", ext)
+	}
+
+	info, err := os.Stat(filePath)
+	if err != nil {
+		return "", err
+	}
+
+	var files []string
+	var cleanup func()
+	if info.Size() > MaxAudioFileSize {
+		if !split {
+			return "", fmt.Errorf("file %s exceeds 25MB limit; use --split-media-file to enable automatic splitting", filePath)
+		}
+		debuglog.Log("File %s is larger than the size limit... breaking it up into chunks...\n", filePath)
+		if files, cleanup, err = splitAudioFile(filePath, ext, MaxAudioFileSize); err != nil {
+			return "", err
+		}
+		defer cleanup()
+	} else {
+		files = []string{filePath}
+	}
+
+	var builder strings.Builder
+	for i, f := range files {
+		debuglog.Log("Using model %s to transcribe part %d (file name: %s)...\n", model, i+1, f)
+		var chunk *os.File
+		if chunk, err = os.Open(f); err != nil {
+			return "", err
+		}
+		params := openai.AudioTranscriptionNewParams{
+			File:  chunk,
+			Model: openai.AudioModel(model),
+		}
+		var resp *openai.Transcription
+		resp, err = o.ApiClient.Audio.Transcriptions.New(ctx, params)
+		chunk.Close()
+		if err != nil {
+			return "", err
+		}
+		if i > 0 {
+			builder.WriteString(" ")
+		}
+		builder.WriteString(resp.Text)
+	}
+
+	return builder.String(), nil
+}
+
+// splitAudioFile splits the source file into chunks smaller than maxSize using ffmpeg.
+// It returns the list of chunk file paths and a cleanup function.
+func splitAudioFile(src, ext string, maxSize int64) (files []string, cleanup func(), err error) {
+	if _, err = exec.LookPath("ffmpeg"); err != nil {
+		return nil, nil, fmt.Errorf("ffmpeg not found: please install it")
+	}
+
+	var dir string
+	if dir, err = os.MkdirTemp("", "fabric-audio-*"); err != nil {
+		return nil, nil, err
+	}
+	cleanup = func() { os.RemoveAll(dir) }
+
+	segmentTime := 600 // start with 10 minutes
+	for {
+		pattern := filepath.Join(dir, "chunk-%03d"+ext)
+		debuglog.Log("Running ffmpeg to split audio into %d-second chunks...\n", segmentTime)
+		cmd := exec.Command("ffmpeg", "-y", "-i", src, "-f", "segment", "-segment_time", fmt.Sprintf("%d", segmentTime), "-c", "copy", pattern)
+		var stderr bytes.Buffer
+		cmd.Stderr = &stderr
+		if err = cmd.Run(); err != nil {
+			return nil, cleanup, fmt.Errorf("ffmpeg failed: %v: %s", err, stderr.String())
+		}
+
+		if files, err = filepath.Glob(filepath.Join(dir, "chunk-*"+ext)); err != nil {
+			return nil, cleanup, err
+		}
+		sort.Strings(files)
+
+		tooBig := false
+		for _, f := range files {
+			var info os.FileInfo
+			if info, err = os.Stat(f); err != nil {
+				return nil, cleanup, err
+			}
+			if info.Size() > maxSize {
+				tooBig = true
+				break
+			}
+		}
+		if !tooBig {
+			return files, cleanup, nil
+		}
+		for _, f := range files {
+			_ = os.Remove(f)
+		}
+		if segmentTime <= 1 {
+			return nil, cleanup, fmt.Errorf("unable to split file into acceptable size chunks")
+		}
+		segmentTime /= 2
+	}
+}
--- a/internal/plugins/ai/openai_compatible/providers_config.go
+++ b/internal/plugins/ai/openai_compatible/providers_config.go
@@ -102,6 +102,11 @@ var ProviderMap = map[string]ProviderConfig{
 		BaseURL:             "https://api.together.xyz/v1",
 		ImplementsResponses: false,
 	},
+	"Venice AI": {
+		Name:                "Venice AI",
+		BaseURL:             "https://api.venice.ai/api/v1",
+		ImplementsResponses: false,
+	},
 }

 // GetProviderByName returns the provider configuration for a given name with O(1) lookup
--- a/internal/plugins/ai/perplexity/perplexity.go
+++ b/internal/plugins/ai/perplexity/perplexity.go
@@ -4,9 +4,10 @@ import (
 	"context"
 	"fmt"
 	"os"
-	"sync" // Added sync package
+	"sync"

 	"github.com/danielmiessler/fabric/internal/domain"
+	debuglog "github.com/danielmiessler/fabric/internal/log"
 	"github.com/danielmiessler/fabric/internal/plugins"
 	perplexity "github.com/sgaunet/perplexity-go/v2"

@@ -171,7 +172,7 @@ func (c *Client) SendStream(msgs []*chat.ChatCompletionMessage, opts *domain.Cha
 		if err != nil {
 			// Log error, can't send to string channel directly.
 			// Consider a mechanism to propagate this error if needed.
-			fmt.Fprintf(os.Stderr, "perplexity streaming error: %v\\n", err) // Corrected capitalization
+			debuglog.Log("perplexity streaming error: %v\n", err)
 			// If the error occurs during stream setup, the channel might not have been closed by the receiver loop.
 			// However, closing it here might cause a panic if the receiver loop also tries to close it.
 			// close(channel) // Caution: Uncommenting this may cause panic, as channel is closed in the receiver goroutine.
--- a/internal/plugins/ai/vendors.go
+++ b/internal/plugins/ai/vendors.go
@@ -148,7 +148,6 @@ func (o *VendorsManager) setupVendorTo(vendor Vendor, configuredVendors map[stri
 		delete(configuredVendors, vendor.GetName())
 		fmt.Printf("[%v] skipped\n", vendor.GetName())
 	}
-	return
 }

 type modelResult struct {
--- a/internal/plugins/db/fsdb/patterns.go
+++ b/internal/plugins/db/fsdb/patterns.go
@@ -31,6 +31,27 @@ type Pattern struct {
 func (o *PatternsEntity) GetApplyVariables(
 	source string, variables map[string]string, input string) (pattern *Pattern, err error) {

+	if pattern, err = o.loadPattern(source); err != nil {
+		return
+	}
+
+	err = o.applyVariables(pattern, variables, input)
+	return
+}
+
+// GetWithoutVariables returns a pattern with only the {{input}} placeholder processed
+// and skips template variable replacement
+func (o *PatternsEntity) GetWithoutVariables(source, input string) (pattern *Pattern, err error) {
+
+	if pattern, err = o.loadPattern(source); err != nil {
+		return
+	}
+
+	o.applyInput(pattern, input)
+	return
+}
+
+func (o *PatternsEntity) loadPattern(source string) (pattern *Pattern, err error) {
 	// Determine if this is a file path
 	isFilePath := strings.HasPrefix(source, "\\") ||
 		strings.HasPrefix(source, "/") ||
@@ -39,8 +60,8 @@ func (o *PatternsEntity) GetApplyVariables(

 	if isFilePath {
 		// Resolve the file path using GetAbsolutePath
-		absPath, err := util.GetAbsolutePath(source)
-		if err != nil {
+		var absPath string
+		if absPath, err = util.GetAbsolutePath(source); err != nil {
 			return nil, fmt.Errorf("could not resolve file path: %v", err)
 		}

@@ -51,26 +72,27 @@ func (o *PatternsEntity) GetApplyVariables(
 		pattern, err = o.getFromDB(source)
 	}

-	if err != nil {
-		return
-	}
-
-	// Apply variables to the pattern
-	err = o.applyVariables(pattern, variables, input)
 	return
 }

-func (o *PatternsEntity) applyVariables(
-	pattern *Pattern, variables map[string]string, input string) (err error) {
-
-	// Ensure pattern has an {{input}} placeholder
-	// If not present, append it on a new line
+func (o *PatternsEntity) ensureInput(pattern *Pattern) {
 	if !strings.Contains(pattern.Pattern, "{{input}}") {
 		if !strings.HasSuffix(pattern.Pattern, "\n") {
 			pattern.Pattern += "\n"
 		}
 		pattern.Pattern += "{{input}}"
 	}
+}
+
+func (o *PatternsEntity) applyInput(pattern *Pattern, input string) {
+	o.ensureInput(pattern)
+	pattern.Pattern = strings.ReplaceAll(pattern.Pattern, "{{input}}", input)
+}
+
+func (o *PatternsEntity) applyVariables(
+	pattern *Pattern, variables map[string]string, input string) (err error) {
+
+	o.ensureInput(pattern)

 	// Temporarily replace {{input}} with a sentinel token to protect it
 	// from recursive variable resolution
--- a/internal/plugins/db/fsdb/patterns_test.go
+++ b/internal/plugins/db/fsdb/patterns_test.go
@@ -145,6 +145,22 @@ func TestGetApplyVariables(t *testing.T) {
 	}
 }

+func TestGetWithoutVariables(t *testing.T) {
+	entity, cleanup := setupTestPatternsEntity(t)
+	defer cleanup()
+
+	createTestPattern(t, entity, "test-pattern", "Prefix {{input}} {{roam}}")
+
+	result, err := entity.GetWithoutVariables("test-pattern", "hello")
+	require.NoError(t, err)
+	assert.Equal(t, "Prefix hello {{roam}}", result.Pattern)
+
+	createTestPattern(t, entity, "no-input", "Static content")
+	result, err = entity.GetWithoutVariables("no-input", "hi")
+	require.NoError(t, err)
+	assert.Equal(t, "Static content\nhi", result.Pattern)
+}
+
 func TestPatternsEntity_Save(t *testing.T) {
 	entity, cleanup := setupTestPatternsEntity(t)
 	defer cleanup()
--- a/internal/plugins/template/extension_registry.go
+++ b/internal/plugins/template/extension_registry.go
@@ -10,8 +10,9 @@ import (
 	"strings"
 	"time"

+	debuglog "github.com/danielmiessler/fabric/internal/log"
+
 	"gopkg.in/yaml.v3"
-	// Add this import
 )

 // ExtensionDefinition represents a single extension configuration
@@ -87,9 +88,7 @@ func NewExtensionRegistry(configDir string) *ExtensionRegistry {
 	r.ensureConfigDir()

 	if err := r.loadRegistry(); err != nil {
-		if Debug {
-			fmt.Printf("Warning: could not load extension registry: %v\n", err)
-		}
+		debuglog.Log("Warning: could not load extension registry: %v\n", err)
 	}

 	return r
--- a/internal/plugins/template/template.go
+++ b/internal/plugins/template/template.go
@@ -6,6 +6,8 @@ import (
 	"path/filepath"
 	"regexp"
 	"strings"
+
+	debuglog "github.com/danielmiessler/fabric/internal/log"
 )

 var (
@@ -14,7 +16,6 @@ var (
 	filePlugin     = &FilePlugin{}
 	fetchPlugin    = &FetchPlugin{}
 	sysPlugin      = &SysPlugin{}
-	Debug          = false // Debug flag
 )

 var extensionManager *ExtensionManager
@@ -33,9 +34,7 @@ var pluginPattern = regexp.MustCompile(`\{\{plugin:([^:]+):([^:]+)(?::([^}]+))?\
 var extensionPattern = regexp.MustCompile(`\{\{ext:([^:]+):([^:]+)(?::([^}]+))?\}\}`)

 func debugf(format string, a ...interface{}) {
-	if Debug {
-		fmt.Printf(format, a...)
-	}
+	debuglog.Debug(debuglog.Trace, format, a...)
 }

 func ApplyTemplate(content string, variables map[string]string, input string) (string, error) {
--- a/internal/tools/patterns_loader.go
+++ b/internal/tools/patterns_loader.go
@@ -7,6 +7,7 @@ import (
 	"sort"
 	"strings"

+	debuglog "github.com/danielmiessler/fabric/internal/log"
 	"github.com/danielmiessler/fabric/internal/plugins"
 	"github.com/danielmiessler/fabric/internal/plugins/db/fsdb"
 	"github.com/danielmiessler/fabric/internal/tools/githelper"
@@ -335,9 +336,9 @@ func (o *PatternsLoader) createUniquePatternsFile() (err error) {
 					patternNamesMap[entry.Name()] = true
 				}
 			}
-			fmt.Fprintf(os.Stderr, "📂 Also included patterns from custom directory: %s\n", o.Patterns.CustomPatternsDir)
+			debuglog.Log("📂 Also included patterns from custom directory: %s\n", o.Patterns.CustomPatternsDir)
 		} else {
-			fmt.Fprintf(os.Stderr, "Warning: Could not read custom patterns directory %s: %v\n", o.Patterns.CustomPatternsDir, customErr)
+			debuglog.Log("Warning: Could not read custom patterns directory %s: %v\n", o.Patterns.CustomPatternsDir, customErr)
 		}
 	}

--- a/nix/pkgs/fabric/gomod2nix.toml
+++ b/nix/pkgs/fabric/gomod2nix.toml
@@ -224,8 +224,8 @@ schema = 3
    version = "v1.0.2"
    hash = "sha256-+W9EIW7okXIXjWEgOaMh58eLvBZ7OshW2EhaIpNLSBU="
  [mod."github.com/ollama/ollama"]
-    version = "v0.9.0"
-    hash = "sha256-r2eU+kMG3tuJy2B43RXsfmeltzM9t05NEmNiJAW5qr4="
+    version = "v0.11.7"
+    hash = "sha256-3Wn1JWmil0aQQ2I/r398HbnUsi8ADoroqNyPziuxn/c="
  [mod."github.com/openai/openai-go"]
    version = "v1.8.2"
    hash = "sha256-O8aV3zEj6o8kIlzlkYaTW4RzvwR3qNUBYiN8SuTM1R0="
--- a/nix/pkgs/fabric/version.nix
+++ b/nix/pkgs/fabric/version.nix
@@ -1 +1 @@
-"1.4.288"
+"1.4.302"
--- a/scripts/docker-test/README.md
+++ b/scripts/docker-test/README.md
@@ -1,116 +0,0 @@
-# Docker Test Environment for API Configuration Fix
-
-This directory contains a Docker-based testing setup for fixing the issue where Fabric calls Ollama and Bedrock APIs even when not configured. This addresses the problem where unconfigured services show error messages during model listing.
-
-## Quick Start
-
-```bash
-# Run all tests
-./scripts/docker-test/test-runner.sh
-
-# Interactive mode - pick which test to run
-./scripts/docker-test/test-runner.sh -i
-
-# Run specific test case
-./scripts/docker-test/test-runner.sh gemini-only
-
-# Shell into test environment
-./scripts/docker-test/test-runner.sh -s gemini-only
-
-# Build image only (for development)
-./scripts/docker-test/test-runner.sh -b
-
-# Show help
-./scripts/docker-test/test-runner.sh -h
-```
-
-## Test Cases
-
-1. **no-config**: No APIs configured
-2. **gemini-only**: Only Gemini configured (reproduces original issue #1195)
-3. **openai-only**: Only OpenAI configured
-4. **ollama-only**: Only Ollama configured
-5. **bedrock-only**: Only Bedrock configured
-6. **mixed**: Multiple APIs configured (Gemini + OpenAI + Ollama)
-
-## Environment Files
-
-Each test case has a corresponding environment file in `scripts/docker-test/env/`:
-
- `env.no-config` - Empty configuration
- `env.gemini-only` - Only Gemini API key
- `env.openai-only` - Only OpenAI API key
- `env.ollama-only` - Only Ollama URL
- `env.bedrock-only` - Only Bedrock configuration
- `env.mixed` - Multiple API configurations
-
-These files are volume-mounted into the Docker container and persist changes made with `fabric -S`.
-
-## Interactive Mode & Shell Access
-
-The interactive mode (`-i`) provides several options:
-
-```text
-Available test cases:
-
-1) No APIs configured (no-config)
-2) Only Gemini configured (gemini-only)
-3) Only OpenAI configured (openai-only)
-4) Only Ollama configured (ollama-only)
-5) Only Bedrock configured (bedrock-only)
-6) Mixed configuration (mixed)
-7) Run all tests
-0) Exit
-
-Add '!' after number to shell into test environment (e.g., '1!' to shell into no-config)
-```
-
-### Shell Mode
-
- Use `1!`, `2!`, etc. to shell into any test environment
- Run `fabric -S` to configure APIs interactively
- Run `fabric --listmodels` or `fabric -L` to test model listing
- Changes persist in the environment files
- Type `exit` to return to test runner
-
-## Expected Results
-
-**Before Fix:**
-
- `no-config` and `gemini-only` tests show Ollama connection errors
- Tests show Bedrock authentication errors when BEDROCK_AWS_REGION not set
- Error: `Ollama Get "http://localhost:11434/api/tags": dial tcp...`
- Error: `Bedrock failed to list foundation models...`
-
-**After Fix:**
-
- Clean output with no error messages for unconfigured services
- Only configured services appear in model listings
- Ollama only initialized when `OLLAMA_API_URL` is set
- Bedrock only initialized when `BEDROCK_AWS_REGION` is set
-
-## Implementation Details
-
- **Volume-mounted configs**: Environment files are mounted to `/home/testuser/.config/fabric/.env`
- **Persistent state**: Configuration changes survive between test runs
- **Single Docker image**: Built once from `scripts/docker-test/base/Dockerfile`, reused for all tests
- **Isolated environments**: Each test uses its own environment file
- **Cross-platform**: Works on macOS, Linux, and Windows with Docker
-
-## Development Workflow
-
-1. Make code changes to fix API initialization logic
-2. Run `./scripts/docker-test/test-runner.sh no-config` to test the main issue
-3. Use `./scripts/docker-test/test-runner.sh -i` for interactive testing
-4. Shell into environments (`1!`, `2!`, etc.) to debug specific configurations
-5. Run all tests before submitting PR: `./scripts/docker-test/test-runner.sh`
-
-## Architecture
-
-The fix involves:
-
-1. **Ollama**: Override `IsConfigured()` method to check for `OLLAMA_API_URL` env var
-2. **Bedrock**: Modify `hasAWSCredentials()` to require `BEDROCK_AWS_REGION`
-3. **Plugin Registry**: Only initialize providers when properly configured
-
-This prevents unnecessary API calls and eliminates confusing error messages for users.
--- a/scripts/docker-test/base/Dockerfile
+++ b/scripts/docker-test/base/Dockerfile
@@ -1,30 +0,0 @@
-FROM golang:1.24-alpine AS builder
-
-WORKDIR /app
-COPY go.mod go.sum ./
-RUN go mod download
-
-COPY ./cmd/fabric ./cmd/fabric
-COPY ./internal ./internal
-RUN go build -o fabric ./cmd/fabric
-
-FROM alpine:latest
-RUN apk --no-cache add ca-certificates
-
-# Create a test user
-RUN adduser -D -s /bin/sh testuser
-
-# Switch to test user
-USER testuser
-WORKDIR /home/testuser
-
-# Set environment variables for the test user
-ENV HOME=/home/testuser
-ENV USER=testuser
-
-COPY --from=builder /app/fabric .
-
-# Create fabric config directory and empty .env file
-RUN mkdir -p .config/fabric && touch .config/fabric/.env
-
-ENTRYPOINT ["./fabric"]
--- a/scripts/docker-test/test-runner.sh
+++ b/scripts/docker-test/test-runner.sh
@@ -1,235 +0,0 @@
-#!/usr/bin/env bash
-
-set -e
-
-# Get the directory where this script is located
-top_dir="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
-base_name="$(basename "$top_dir")"
-cd "$top_dir"/../.. || exit 1
-
-# Check if bash version supports associative arrays
-if [[ ${BASH_VERSION%%.*} -lt 4 ]]; then
-    echo "This script requires bash 4.0 or later for associative arrays."
-    echo "Current version: $BASH_VERSION"
-    exit 1
-fi
-
-IMAGE_NAME="fabric-test-setup"
-ENV_DIR="scripts/${base_name}/env"
-
-# Test case descriptions
-declare -A test_descriptions=(
-    ["no-config"]="No APIs configured"
-    ["gemini-only"]="Only Gemini configured (reproduces original issue)"
-    ["openai-only"]="Only OpenAI configured"
-    ["ollama-only"]="Only Ollama configured"
-    ["bedrock-only"]="Only Bedrock configured"
-    ["mixed"]="Mixed configuration (Gemini + OpenAI + Ollama)"
-)
-
-# Test case order for consistent display
-test_order=("no-config" "gemini-only" "openai-only" "ollama-only" "bedrock-only" "mixed")
-
-build_image() {
-    echo "=== Building Docker image ==="
-    docker build -f "${top_dir}/base/Dockerfile" -t "$IMAGE_NAME" .
-    echo
-}
-
-check_env_file() {
-    local test_name="$1"
-    local env_file="$ENV_DIR/env.$test_name"
-
-    if [[ ! -f "$env_file" ]]; then
-        echo "Error: Environment file not found: $env_file"
-        exit 1
-    fi
-}
-
-run_test() {
-    local test_name="$1"
-    local description="${test_descriptions[$test_name]}"
-    local env_file="$ENV_DIR/env.$test_name"
-
-    check_env_file "$test_name"
-
-    echo "===================="
-    echo "Test: $description"
-    echo "Config: $test_name"
-    echo "Env file: $env_file"
-    echo "===================="
-
-    echo "Running test..."
-    if docker run --rm \
-        -e HOME=/home/testuser \
-        -e USER=testuser \
-        -v "$(pwd)/$env_file:/home/testuser/.config/fabric/.env:ro" \
-        "$IMAGE_NAME" --listmodels 2>&1; then
-        echo "✅ Test completed"
-    else
-        echo "❌ Test failed"
-    fi
-    echo
-}
-
-shell_into_env() {
-    local test_name="$1"
-    local description="${test_descriptions[$test_name]}"
-    local env_file="$ENV_DIR/env.$test_name"
-
-    check_env_file "$test_name"
-
-    echo "===================="
-    echo "Shelling into: $description"
-    echo "Config: $test_name"
-    echo "Env file: $env_file"
-    echo "===================="
-    echo "You can now run 'fabric -S' to configure, or 'fabric --listmodels' or 'fabric -L' to test."
-    echo "Changes to .env will persist in $env_file"
-    echo "Type 'exit' to return to the test runner."
-    echo
-
-    docker run -it --rm \
-        -e HOME=/home/testuser \
-        -e USER=testuser \
-        -v "$(pwd)/$env_file:/home/testuser/.config/fabric/.env" \
-        --entrypoint=/bin/sh \
-        "$IMAGE_NAME"
-}
-
-interactive_mode() {
-    echo "=== Interactive Mode ==="
-    echo "Available test cases:"
-    echo
-    local i=1
-    local cases=()
-    for test_name in "${test_order[@]}"; do
-        echo "$i) ${test_descriptions[$test_name]} ($test_name)"
-        cases[i]="$test_name"
-        ((i++))
-    done
-    echo "$i) Run all tests"
-    echo "0) Exit"
-    echo
-    echo "Add '!' after number to shell into test environment (e.g., '1!' to shell into no-config)"
-    echo
-
-    while true; do
-        read -r -p "Select test case (0-$i) [or 1!, etc. to shell into test environment]: " choice
-
-        # Check for shell mode (! suffix)
-        local shell_mode=false
-        if [[ "$choice" == *"!" ]]; then
-            shell_mode=true
-            choice="${choice%!}"  # Remove the ! suffix
-        fi
-
-        if [[ "$choice" == "0" ]]; then
-            if [[ "$shell_mode" == true ]]; then
-                echo "Cannot shell into exit option."
-                continue
-            fi
-            echo "Exiting..."
-            exit 0
-        elif [[ "$choice" == "$i" ]]; then
-            if [[ "$shell_mode" == true ]]; then
-                echo "Cannot shell into 'run all tests' option."
-                continue
-            fi
-            echo "Running all tests..."
-            run_all_tests
-            break
-        elif [[ "$choice" -ge 1 && "$choice" -lt "$i" ]]; then
-            local selected_test="${cases[$choice]}"
-            if [[ "$shell_mode" == true ]]; then
-                echo "Shelling into: ${test_descriptions[$selected_test]}"
-                shell_into_env "$selected_test"
-            else
-                echo "Running: ${test_descriptions[$selected_test]}"
-                run_test "$selected_test"
-            fi
-
-            read -r -p "Continue testing? (y/n): " again
-            if [[ "$again" != "y" && "$again" != "Y" ]]; then
-                break
-            fi
-            echo
-        else
-            echo "Invalid choice. Please select 0-$i (optionally with '!' for shell mode)."
-        fi
-    done
-}
-
-run_all_tests() {
-    echo "=== Testing PR #1645: Conditional API initialization ==="
-    echo
-
-    for test_name in "${test_order[@]}"; do
-        run_test "$test_name"
-    done
-
-    echo "=== Test run complete ==="
-    echo "Review the output above to check:"
-    echo "1. No Ollama connection errors when OLLAMA_URL not set"
-    echo "2. No Bedrock authentication errors when BEDROCK_AWS_REGION not set"
-    echo "3. Only configured services appear in model listings"
-}
-
-show_help() {
-    echo "Usage: $0 [OPTIONS] [TEST_CASE]"
-    echo
-    echo "Test PR #1645 conditional API initialization"
-    echo
-    echo "Options:"
-    echo "  -h, --help       Show this help message"
-    echo "  -i, --interactive Run in interactive mode"
-    echo "  -b, --build-only  Build image only, don't run tests"
-    echo "  -s, --shell TEST  Shell into test environment"
-    echo
-    echo "Test cases:"
-    for test_name in "${test_order[@]}"; do
-        echo "  $test_name: ${test_descriptions[$test_name]}"
-    done
-    echo
-    echo "Examples:"
-    echo "  $0                    # Run all tests"
-    echo "  $0 -i                 # Interactive mode"
-    echo "  $0 gemini-only        # Run specific test"
-    echo "  $0 -s gemini-only     # Shell into gemini-only environment"
-    echo "  $0 -b                 # Build image only"
-    echo
-    echo "Environment files are located in $ENV_DIR/ and can be edited directly."
-}
-
-# Parse command line arguments
-if [[ $# -eq 0 ]]; then
-    build_image
-    run_all_tests
-elif [[ "$1" == "-h" || "$1" == "--help" ]]; then
-    show_help
-elif [[ "$1" == "-i" || "$1" == "--interactive" ]]; then
-    build_image
-    interactive_mode
-elif [[ "$1" == "-b" || "$1" == "--build-only" ]]; then
-    build_image
-elif [[ "$1" == "-s" || "$1" == "--shell" ]]; then
-    if [[ -z "$2" ]]; then
-        echo "Error: -s/--shell requires a test case name"
-        echo "Use -h for help."
-        exit 1
-    fi
-    if [[ -z "${test_descriptions[$2]}" ]]; then
-        echo "Error: Unknown test case: $2"
-        echo "Use -h for help."
-        exit 1
-    fi
-    build_image
-    shell_into_env "$2"
-elif [[ -n "${test_descriptions[$1]}" ]]; then
-    build_image
-    run_test "$1"
-else
-    echo "Unknown test case or option: $1"
-    echo "Use -h for help."
-    exit 1
-fi
--- a/scripts/docker/Dockerfile
+++ b/scripts/docker/Dockerfile
@@ -1,41 +1,26 @@
-# Use official golang image as builder
-FROM golang:1.24.2-alpine AS builder
+# syntax=docker/dockerfile:1

-# Set working directory
-WORKDIR /app
+FROM golang:1.24-alpine AS builder
+
+WORKDIR /src
+
+# Install build dependencies
+RUN apk add --no-cache git

-# Copy go mod and sum files
 COPY go.mod go.sum ./
-
-# Download dependencies
 RUN go mod download

-# Copy source code
 COPY . .

-# Build the application
-RUN CGO_ENABLED=0 GOOS=linux go build -o fabric ./cmd/fabric
+RUN CGO_ENABLED=0 GOOS=linux go build -ldflags="-s -w" -o /fabric ./cmd/fabric

-# Use scratch as final base image
 FROM alpine:latest

-# Copy the binary from builder
-COPY --from=builder /app/fabric /fabric
+RUN apk add --no-cache ca-certificates \
+    && mkdir -p /root/.config/fabric

-# Copy patterns directory
-COPY patterns /patterns
+COPY --from=builder /fabric /usr/local/bin/fabric

-# Ensure clean config directory and copy ENV file
-RUN rm -rf /root/.config/fabric && \
-    mkdir -p /root/.config/fabric
-COPY ENV /root/.config/fabric/.env
-
-# Add debug commands
-RUN ls -la /root/.config/fabric/
-
-# Expose port 8080
 EXPOSE 8080

-# Run the binary with debug output
-ENTRYPOINT ["/fabric"]
-CMD ["--serve"] 
+ENTRYPOINT ["fabric"]
--- a/scripts/docker/README.md
+++ b/scripts/docker/README.md
@@ -1,40 +1,48 @@
-# Docker Deployment
+# Fabric Docker Image

-This directory contains Docker configuration files for running Fabric in containers.
+This directory provides a simple Docker setup for running the [Fabric](https://github.com/danielmiessler/fabric) CLI.

-## Files
+## Build

- `Dockerfile` - Main Docker build configuration
- `docker-compose.yml` - Docker Compose stack configuration  
- `start-docker.sh` - Helper script to start the stack
- `README.md` - This documentation
-
-## Quick Start
+Build the image from the repository root:

 ```bash
-# Start the Docker stack
-./start-docker.sh
-
-# Or manually with docker-compose
-docker-compose up -d
-
-# View logs
-docker-compose logs -f
-
-# Stop the stack
-docker-compose down
+docker build -t fabric -f scripts/docker/Dockerfile .
 ```

-## Building
+## Persisting configuration
+
+Fabric stores its configuration in `~/.config/fabric/.env`. Mount this path to keep your settings on the host.
+
+### Using a host directory

 ```bash
-# Build the Docker image
-docker build -t fabric .
-
-# Or use docker-compose
-docker-compose build
+mkdir -p $HOME/.fabric-config
+# Run setup to create the .env and download patterns
+ docker run --rm -it -v $HOME/.fabric-config:/root/.config/fabric fabric --setup
 ```

-## Configuration
+Subsequent runs can reuse the same directory:

-Make sure to configure your environment variables and API keys before running the Docker stack. See the main README.md for setup instructions.
+```bash
+docker run --rm -it -v $HOME/.fabric-config:/root/.config/fabric fabric -p your-pattern
+```
+
+### Mounting a single .env file
+
+If you only want to persist the `.env` file:
+
+```bash
+# assuming .env exists in the current directory
+docker run --rm -it -v $PWD/.env:/root/.config/fabric/.env fabric -p your-pattern
+```
+
+## Running the server
+
+Expose port 8080 to use Fabric's REST API:
+
+```bash
+docker run --rm -it -p 8080:8080 -v $HOME/.fabric-config:/root/.config/fabric fabric --serve
+```
+
+The API will be available at `http://localhost:8080`.
--- a/scripts/docker/docker-compose.yml
+++ b/scripts/docker/docker-compose.yml
@@ -1,11 +0,0 @@
-version: '3.8'
-
-services:
-  fabric-api:
-    build: .
-    ports:
-      - "8080:8080"
-    volumes:
-      - ./ENV:/root/.config/fabric/.env:ro
-    environment:
-      - GIN_MODE=release 
--- a/scripts/docker/start-docker.sh
+++ b/scripts/docker/start-docker.sh
@@ -1,11 +0,0 @@
-#!/bin/bash
-
-# Helper script to start the Fabric Docker stack
-
-echo "Starting Fabric Docker stack..."
-cd "$(dirname "$0")"
-docker-compose up -d
-
-echo "Fabric is now running!"
-echo "Check logs with: docker-compose logs -f"
-echo "Stop with: docker-compose down"
--- a/scripts/pattern_descriptions/pattern_descriptions.json
+++ b/scripts/pattern_descriptions/pattern_descriptions.json
@@ -1871,6 +1871,22 @@
        "DEVELOPMENT",
        "AI"
      ]
+    },
+    {
+      "patternName": "create_story_about_person",
+      "description": "Infer everyday challenges and realistic coping strategies from a psychological profile and craft an empathetic 500–700-word story consistent with the character.",
+      "tags": [
+        "WRITING",
+        "SELF"
+      ]
+    },
+    {
+      "patternName": "heal_person",
+      "description": "Analyze a psychological profile, pinpoint issues and strengths, and deliver compassionate, structured strategies for spiritual, mental, and life improvement.",
+      "tags": [
+        "ANALYSIS",
+        "SELF"
+      ]
    }
  ]
 }
--- a/scripts/pattern_descriptions/pattern_extracts.json
+++ b/scripts/pattern_descriptions/pattern_extracts.json
@@ -907,6 +907,14 @@
    {
      "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"
+    },
+    {
+      "patternName": "create_story_about_person",
+      "pattern_extract": "You are an expert creative writer specializing in character-driven narratives, and a keen observer of human psychology. Your task is to craft a compelling, realistic short story based on a psychological profile or personal data provided by the user. **Input:** The user will provide a psychological profile or descriptive data about a fictional or real person. This input will be clearly delimited by triple backticks (```). It may include personality traits, habits, fears, motivations, strengths, weaknesses, background information, or specific behavioral patterns. **Task Steps:** 1. **Analyze Profile:** Carefully read and internalize the provided psychological profile. Identify the core personality traits, typical reactions, strengths, and vulnerabilities of the individual. 2. **Brainstorm Challenges:** Based on the analysis from Step 1, generate 3-5 common, relatable, everyday problems or minor dilemmas that a person with this specific profile might genuinely encounter. These challenges should be varied and could span social, professional, personal, or emotional domains. 3. **Develop Strategies:** For each identified problem from Step 2, devise 1-2 specific, plausible methods or strategies that the character, consistent with their psychological profile, would naturally employ (or attempt to employ) to navigate, cope with, or solve these challenges. Consider both internal thought processes and external actions. 4. **Construct Narrative:** Weave these problems and the character's responses into a cohesive, engaging short story (approximately 500-700 words, 3-5 paragraphs). The story should have a clear narrative flow, introducing the character, presenting the challenges, and showing their journey through them. 5. **Maintain Consistency:** Throughout the story, ensure the character's actions, dialogue, internal monologue, and emotional reactions are consistently aligned with the psychological profile provided. The story should feel authentic to the character. **Output Requirements:** * **Format:** A continuous narrative short story. * **Tone:** Empathetic, realistic, and engaging. * **Content:** The story must clearly depict the character facing everyday problems and demonstrate their unique methods and strategies for navigating these challenges, directly reflecting the input profile. * **Length:** Approximately 500-700 words. * **Avoid:** Overly dramatic or fantastical scenarios unless the profile explicitly suggests such a context. Focus on the 'everyday common problems'. **Example of Input Format:** ``` [Psychological Profile/Data Here] ```"
+    },
+    {
+      "patternName": "heal_person",
+      "pattern_extract": "# IDENTITY and PURPOSE You are an AI assistant whose primary responsibility is to interpret and analyze psychological profiles and/or psychology data files provided as input. Your role is to carefully process this data and use your expertise to develop a tailored plan aimed at spiritual and mental healing, as well as overall life improvement for the subject. You must approach each case with sensitivity, applying psychological knowledge and holistic strategies to create actionable, personalized recommendations that address both mental and spiritual well-being. Your focus is on structured, compassionate, and practical guidance that can help the individual make meaningful improvements in their life. Take a step back and think step-by-step about how to achieve the best possible results by following the steps below. # STEPS - Carefully review the psychological-profile and/or psychology data file provided as input. - Analyze the data to identify key issues, strengths, and areas needing improvement related to the subject's mental and spiritual well-being. - Develop a comprehensive plan that includes specific strategies for spiritual healing, mental health improvement, and overall life enhancement. - Structure your output to clearly outline recommendations, resources, and actionable steps tailored to the individual's unique profile. # OUTPUT INSTRUCTIONS - Only output Markdown. - Ensure your output is organized, clear, and easy to follow, using headings, subheadings, and bullet points where appropriate. - Ensure you follow ALL these instructions when creating your output. # INPUT INPUT:# IDENTITY and PURPOSE You are an AI assistant whose primary responsibility is to interpret and analyze psychological profiles and/or psychology data files provided as input. Your role is to carefully process this data and use your expertise to develop a tailored plan aimed at spiritual and mental healing, as well as overall life improvement for the subject. You must approach each case with sensitivity, applying psychological knowledge and holistic strategies to create actionable, personalized recommendations that address both mental and spiritual well-being. Your focus is on structured, compassionate, and practical guidance that can help the individual make meaningful improvements in their life. Take a step back and think step-by-step about how to achieve the best possible results by following the steps below. # STEPS - Carefully review the psychological-profile and/or psychology data file provided as input. - Analyze the data to identify key issues, strengths, and areas needing improvement related to the subject's mental and spiritual well-being. - Develop a comprehensive plan that includes specific strategies for spiritual healing, mental health improvement, and overall life enhancement. - Structure your output to clearly outline recommendations, resources, and actionable steps tailored to the individual's unique profile. # OUTPUT INSTRUCTIONS - Only output Markdown. - Ensure your output is organized, clear, and easy to follow, using headings, subheadings, and bullet points where appropriate. - Ensure you follow ALL these instructions when creating your output. # INPUT INPUT:"
    }
  ]
 }
--- a/web/pnpm-lock.yaml
+++ b/web/pnpm-lock.yaml
@@ -941,8 +941,8 @@ packages:
    resolution: {integrity: sha512-3UDv+G9CsCKO1WKMGw9fwq/SWJYbI0c5Y7LU1AXYoDdbhE2AHQ6N6Nb34sG8Fj7T5APy8qXDCKuuIHd1BR0tVA==}
    engines: {node: '>=8'}

-  devalue@5.1.1:
-    resolution: {integrity: sha512-maua5KUiapvEwiEAe+XnlZ3Rh0GD+qI1J/nb9vrJc3muPXvcF/8gXYTWF76+5DAqHyDUtOIImEuo0YKE9mshVw==}
+  devalue@5.3.2:
+    resolution: {integrity: sha512-UDsjUbpQn9kvm68slnrs+mfxwFkIflOhkanmyabZ8zOYk8SMEIbJ3TK+88g70hSIeytu4y18f0z/hYHMTrXIWw==}

  devlop@1.1.0:
    resolution: {integrity: sha512-RWmIqhcFf1lRYBvNmr7qTNuyCt/7/ns2jbpp1+PalgE/rDQcBT0fioSMUpJ93irlUhC5hrg4cYqe6U+0ImW0rA==}
@@ -2704,7 +2704,7 @@ snapshots:
      '@types/cookie': 0.6.0
      acorn: 8.14.1
      cookie: 1.0.2
-      devalue: 5.1.1
+      devalue: 5.3.2
      esm-env: 1.2.2
      kleur: 4.1.5
      magic-string: 0.30.17
@@ -3060,7 +3060,7 @@ snapshots:
  detect-libc@2.0.4:
    optional: true

-  devalue@5.1.1: {}
+  devalue@5.3.2: {}

  devlop@1.1.0:
    dependencies:
--- a/web/static/data/pattern_descriptions.json
+++ b/web/static/data/pattern_descriptions.json
@@ -1871,6 +1871,22 @@
        "DEVELOPMENT",
        "AI"
      ]
+    },
+    {
+      "patternName": "create_story_about_person",
+      "description": "Infer everyday challenges and realistic coping strategies from a psychological profile and craft an empathetic 500–700-word story consistent with the character.",
+      "tags": [
+        "WRITING",
+        "SELF"
+      ]
+    },
+    {
+      "patternName": "heal_person",
+      "description": "Analyze a psychological profile, pinpoint issues and strengths, and deliver compassionate, structured strategies for spiritual, mental, and life improvement.",
+      "tags": [
+        "ANALYSIS",
+        "SELF"
+      ]
    }
  ]
 }
Author	SHA1	Message	Date
github-actions[bot]	d209ee38c7	chore(release): Update version to v1.4.302	2025-08-28 19:40:57 +00:00
Kayvan Sylvan	c20be027fe	Merge pull request #1737 from ksylvan/0828-OmriH-Elister-new-patterns-plus-dependabot Add New Psychological Analysis Patterns + devalue version bump	2025-08-28 12:38:25 -07:00
Kayvan Sylvan	3ef3509bfd	feat: add 'create_story_about_person' and 'heal_person' patterns; bump devalue CHANGES - Add create_story_about_person system pattern with narrative workflow - Add heal_person system pattern for compassionate healing plans - Update pattern_explanations to register new patterns and renumber indices - Extend pattern_descriptions with entries, tags, and concise descriptions - Add pattern_extracts for both patterns with full instruction blocks - Bump devalue dependency from 5.1.1 to 5.3.2 - Refresh lockfile snapshots to reference updated devalue version - Sync web static pattern_descriptions with new patterns Updates `devalue` from 5.1.1 to 5.3.2 - [Release notes](https://github.com/sveltejs/devalue/releases) - [Changelog](https://github.com/sveltejs/devalue/blob/main/CHANGELOG.md) - [Commits](sveltejs/devalue@v5.1.1...v5.3.2) --- updated-dependencies: - dependency-name: devalue dependency-version: 5.3.2 dependency-type: indirect dependency-group: npm_and_yarn ... Signed-off-by: dependabot[bot] <support@github.com>	2025-08-28 12:35:23 -07:00
github-actions[bot]	7142b020ef	chore(release): Update version to v1.4.301	2025-08-28 14:13:15 +00:00
Kayvan Sylvan	1b9f07b525	Merge pull request #1735 from ksylvan/kayvan/0828-ci-fixes Fix Docker Build Path Configuration	2025-08-28 07:10:36 -07:00
Kayvan Sylvan	dcfc94ca07	fix: update Docker workflow to use specific Dockerfile and monitor markdown file changes • Add explicit Dockerfile path to Docker build action • Remove markdown files from workflow paths-ignore filter • Enable CI triggers for documentation file changes • Specify Docker build context with custom file location	2025-08-28 07:08:30 -07:00
github-actions[bot]	0e85861a46	chore(release): Update version to v1.4.300	2025-08-28 06:41:30 +00:00
Kayvan Sylvan	7c5a040287	Merge pull request #1732 from ksylvan/kayvan/docker-publishing CI Infra: Changelog Generation Tool + Docker Image Pubishing	2025-08-27 23:39:04 -07:00
Kayvan Sylvan	08eb48c2e7	ci: add tag-based multi-arch Docker publish to GHCR and Docker Hub CHANGES - Add GitHub Actions workflow to publish Docker images on tags - Build multi-arch images with Buildx and QEMU across amd64, arm64 - Tag images using semver; push to GHCR and Docker Hub - Set :latest only for highest semver tag via imagetools - Gate patterns workflow steps on detected changes instead of failing - Auto-detect GitHub owner and repo from git remote URL - Remove hardcoded repository values in changelog release manager - Normalize image names to lowercase for registry compatibility - Enable GitHub Actions cache for faster Docker builds - Add VS Code dictionary entries for Docker-related terms	2025-08-27 23:35:44 -07:00
github-actions[bot]	e40d4e6623	chore(release): Update version to v1.4.299	2025-08-27 18:07:33 +00:00
Kayvan Sylvan	51bd1ebadf	Merge pull request #1731 from ksylvan/0827-update-ollama-library-for-cve-fixes chore: upgrade ollama dependency from v0.9.0 to v0.11.7	2025-08-27 11:05:04 -07:00
Kayvan Sylvan	d3de731967	chore: upgrade ollama dependency from v0.9.0 to v0.11.7 • Update ollama package to version 0.11.7 • Refresh go.sum with new dependency checksums - Link: [https://nvd.nist.gov/vuln/detail/CVE-2025-0317](https://nvd.nist.gov/vuln/detail/CVE-2025-0317) - CVSS Score: 7.5 (High) - Description: A vulnerability in ollama/ollama versions <=0.3.14 allows a malicious user to upload and create a customized GGUF model file on the Ollama server. This can lead to a division by zero error in the ggufPadding function, causing the server to crash and resulting in a Denial of Service (DoS) attack. - Affected: Ollama server versions ≤ 0.3.14 - Impact: Denial of Service through division by zero error - Link: [https://nvd.nist.gov/vuln/detail/CVE-2025-0315](https://nvd.nist.gov/vuln/detail/CVE-2025-0315) - CVSS Score: 7.5 (High) - Description: Vulnerability allows Denial of Service via customized GGUF model file upload on Ollama server. - Affected: Ollama/ollama versions ≤ 0.3.14 - Impact: Denial of Service through malicious GGUF model file uploads - Link: [https://nvd.nist.gov/vuln/detail/CVE-2024-12886](https://nvd.nist.gov/vuln/detail/CVE-2024-12886) - CVSS Score: 7.5 (High) - Description: An Out-Of-Memory (OOM) vulnerability exists in the ollama server version 0.3.14. This vulnerability can be triggered when a malicious API server responds with a gzip bomb HTTP response, leading to the ollama server crashing. - Affected: Ollama server version 0.3.14 - Impact: Denial of Service through memory exhaustion via gzip bomb attack - Link: [https://nvd.nist.gov/vuln/detail/CVE-2024-8063](https://nvd.nist.gov/vuln/detail/CVE-2024-8063) - CVSS Score: 7.5 (High) - Description: Security vulnerability with high severity rating - Impact: Requires patching for security compliance - Link: [https://nvd.nist.gov/vuln/detail/CVE-2024-12055](https://nvd.nist.gov/vuln/detail/CVE-2024-12055) - CVSS Score: 7.5 (High) - Description: High-severity security vulnerability requiring immediate attention - Impact: Critical security flaw needing remediation - Link: [https://nvd.nist.gov/vuln/detail/CVE-2025-51471](https://nvd.nist.gov/vuln/detail/CVE-2025-51471) - CVSS Score: 6.9 (Medium) - Description: Medium severity security vulnerability - Impact: Security risk requiring patching as part of comprehensive security updates - Link: [https://nvd.nist.gov/vuln/detail/CVE-2025-46394](https://nvd.nist.gov/vuln/detail/CVE-2025-46394) - CVSS Score: 3.2 (Low) - Description: Low-severity security issue - Impact: Minor security concern addressed as part of comprehensive security maintenance - Link: [https://nvd.nist.gov/vuln/detail/CVE-2024-58251](https://nvd.nist.gov/vuln/detail/CVE-2024-58251) - CVSS Score: 2.5 (Low) - Description: Low-severity security vulnerability - Impact: Minimal security risk addressed for comprehensive security posture This comprehensive security fix addresses 8 CVEs total: - 5 High Severity vulnerabilities (CVSS 7.5) - 1 Medium Severity vulnerability (CVSS 6.9) - 2 Low Severity vulnerabilities (CVSS 3.2 and 2.5) The majority of high-severity issues are related to Ollama server vulnerabilities that could lead to Denial of Service attacks through various vectors including division by zero errors, memory exhaustion, and malicious file uploads. These fixes ensure robust protection against these attack vectors and maintain system availability. Priority: The high-severity Ollama vulnerabilities should be considered critical for any systems running Ollama server components, as they can lead to service disruption and potential system crashes.	2025-08-27 10:53:31 -07:00
github-actions[bot]	458b0a5e1c	chore(release): Update version to v1.4.298	2025-08-27 14:11:48 +00:00
Kayvan Sylvan	b8f64bd554	Merge pull request #1730 from ksylvan/0827-simplify-docker Modernize Dockerfile with Best Practices Implementation	2025-08-27 07:09:12 -07:00
Kayvan Sylvan	1622a34331	chore: remove docker-test framework and simplify production docker setup - Remove entire docker-test directory and testing infrastructure - Delete complex test runner script and environment files - Simplify production Dockerfile with multi-stage build optimization - Remove docker-compose.yml and start-docker.sh helper scripts - Update README with cleaner Docker usage instructions - Streamline container build process and reduce image size	2025-08-27 07:00:52 -07:00
github-actions[bot]	6b9f4c1fb8	chore(release): Update version to v1.4.297	2025-08-26 15:11:22 +00:00
Kayvan Sylvan	4d2061a641	Merge pull request #1729 from ksylvan/0826-community-docs Add GitHub Community Health Documents	2025-08-26 08:08:52 -07:00
Kayvan Sylvan	713f6e46fe	docs: add contributing, security, support, and code-of-conduct docs; add docs index CHANGES - Add CODE_OF_CONDUCT defining respectful, collaborative community behavior - Add CONTRIBUTING with setup, testing, PR, changelog requirements - Add SECURITY policy with reporting process and response timelines - Add SUPPORT guide for bugs, features, discussions, expectations - Add docs README indexing guides, quick starts, contributor essentials	2025-08-26 07:10:08 -07:00
github-actions[bot]	efadc81974	chore(release): Update version to v1.4.296	2025-08-26 03:15:57 +00:00
Kayvan Sylvan	ea54f60dcc	Merge pull request #1728 from ksylvan/0825-debug-logging-cleanup Refactor Logging System to Use Centralized Debug Logger	2025-08-25 20:13:26 -07:00
Kayvan Sylvan	4008125e37	refactor: replace stderr prints with centralized debuglog.Log and improve auth messaging - Replace fmt.Fprintf/os.Stderr with centralized debuglog.Log across CLI - Add unconditional Log function to debuglog for important messages - Improve OAuth flow messaging and token refresh diagnostics - Update tests to capture debuglog output via SetOutput - Convert Perplexity streaming errors to unified debug logging - Emit file write notifications through debuglog instead of stderr - Warn on ambiguous model selection using centralized logger - Announce large audio processing steps via debuglog progress messages - Standardize extension registry and patterns warnings through debuglog	2025-08-25 20:09:55 -07:00
github-actions[bot]	da94411bf3	chore(release): Update version to v1.4.295	2025-08-24 20:22:53 +00:00
Kayvan Sylvan	ab7b37be10	Merge pull request #1727 from ksylvan/0824-anthropic-beta-logs Standardize Anthropic Beta Failure Logging	2025-08-24 13:20:19 -07:00
Kayvan Sylvan	772337bf0d	refactor: route Anthropic beta failure logs through internal debug logger CHANGES - Replace fmt.Fprintf stderr with debuglog.Debug for beta failures - Import internal log package and remove os dependency - Standardize logging level to debuglog.Basic for beta errors - Preserve fallback stream behavior when beta features fail - Maintain message send fallback when beta options fail	2025-08-24 13:10:57 -07:00
github-actions[bot]	1e30c4e136	chore(release): Update version to v1.4.294	2025-08-20 16:37:50 +00:00
Kayvan Sylvan	e12a40ad4f	Merge pull request #1723 from ksylvan/0820-venice-ai-provider docs: update README with Venice AI provider and Windows install script	2025-08-20 09:35:18 -07:00
Kayvan Sylvan	97beaecbeb	docs: update README with Venice AI provider and Windows install script - Add Venice AI provider configuration with API endpoint - Document Venice AI as privacy-first open-source provider - Include PowerShell installation script for Windows users - Add debug levels section to table of contents - Update recent major features with v1.4.294 release notes - Configure Venice AI base URL and response settings	2025-08-20 09:30:29 -07:00
github-actions[bot]	7af6817bac	chore(release): Update version to v1.4.293	2025-08-19 11:29:38 +00:00
Kayvan Sylvan	50ecc32d85	Merge pull request #1718 from ksylvan/0819-debug-log-levels Implement Configurable Debug Logging Levels	2025-08-19 04:27:08 -07:00
Kayvan Sylvan	ff1ef380a7	feat: add --debug flag with levels and centralized logging CHANGES - Add --debug flag controlling runtime logging verbosity levels - Introduce internal/log package with Off, Basic, Detailed, Trace - Replace ad-hoc Debugf and globals with centralized debug logger - Wire debug level during early CLI argument parsing - Add bash, zsh, fish completions for --debug levels - Document debug levels in README with usage examples - Add comprehensive STT guide covering models, flags, workflows - Simplify splitAudioFile signature and log ffmpeg chunking operations - Remove FABRIC_STT_DEBUG environment variable and related code - Clean minor code paths in vendors and template modules	2025-08-19 04:23:40 -07:00
github-actions[bot]	6a3a7e82d1	chore(release): Update version to v1.4.292	2025-08-19 00:55:22 +00:00
Kayvan Sylvan	34bc0b5e31	Merge pull request #1717 from ksylvan/0818-feature-default-model-indicator Highlight default vendor/model in model listing	2025-08-18 17:52:57 -07:00
Kayvan Sylvan	ce59999503	feat: highlight default vendor/model in listings, pass registry defaults CHANGES - Update PrintWithVendor signature to accept default vendor and model - Mark default vendor/model with asterisk in non-shell output - Compare vendor and model case-insensitively when marking - Pass registry defaults to PrintWithVendor from CLI - Add test ensuring default selection appears with asterisk - Keep shell completion output unchanged without default markers	2025-08-18 16:58:25 -07:00
Kayvan Sylvan	9bb4ccf740	docs: update version number in README updates section from v1.4.290 to v1.4.291	2025-08-18 08:13:55 -07:00
github-actions[bot]	900b13f08c	chore(release): Update version to v1.4.291	2025-08-18 15:05:02 +00:00
Kayvan Sylvan	6824f0c0a7	Merge pull request #1715 from ksylvan/0818-openai-transcribe-using-openai-models Add speech-to-text via OpenAI with transcription flags and completions	2025-08-18 08:02:36 -07:00
Kayvan Sylvan	a2481406db	feat: add speech-to-text via OpenAI with transcription flags and completions CHANGES - Add --transcribe-file flag to transcribe audio or video - Add --transcribe-model flag with model listing and completion - Add --split-media-file flag to chunk files over 25MB - Implement OpenAI transcription using Whisper and GPT-4o Transcribe - Integrate transcription pipeline into CLI before readability processing - Provide zsh, bash, fish completions for new transcription flags - Validate media extensions and enforce 25MB upload limits - Update README with release and corrected pattern link path	2025-08-18 07:59:50 -07:00
github-actions[bot]	171f7eb3ab	chore(release): Update version to v1.4.290	2025-08-17 23:52:24 +00:00
Kayvan Sylvan	dccc70c433	Merge pull request #1714 from ksylvan/0817-simple-pattern-to-model-mapping-via-env-vars Add Per-Pattern Model Mapping via Environment Variables	2025-08-17 16:49:46 -07:00
Kayvan Sylvan	e5ec9acfac	feat: add per-pattern model mapping support via environment variables • Add per-pattern model mapping documentation section • Implement environment variable lookup for pattern-specific models • Support vendor\|model format in environment variable specification • Check pattern-specific model when no model explicitly set • Transform pattern names to uppercase environment variable format • Add table of contents entry for new feature • Enable shell startup file configuration for patterns	2025-08-17 16:15:23 -07:00
github-actions[bot]	f0eb9f90a3	chore(release): Update version to v1.4.289	2025-08-16 21:22:43 +00:00
Kayvan Sylvan	758425f98a	Merge pull request #1710 from ksylvan/0816-no-variable-replacement-flag Add `--no-variable-replacement` Flag for Literal Pattern Handling	2025-08-16 14:20:18 -07:00
Kayvan Sylvan	b4b5b0a4d9	feat: add --no-variable-replacement flag to disable pattern variable substitution - Introduce CLI flag to skip pattern variable replacement. - Wire flag into domain request and session builder. - Avoid applying input variables when replacement is disabled. - Provide PatternsEntity.GetWithoutVariables for input-only pattern processing support. - Refactor patterns code into reusable load and apply helpers. - Update bash, zsh, fish completions with new flag. - Document flag in README and CLI help output. - Add unit tests covering GetWithoutVariables path and behavior. - Ensure {{input}} placeholder appends when missing in patterns.	2025-08-16 14:12:06 -07:00