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...

18 Commits

Author SHA1 Message Date
github-actions[bot]
1138d0b60e Update version to v1.4.205 and commit 2025-06-16 13:26:26 +00:00
Kayvan Sylvan
b78217088d Merge pull request #1519 from ConnorKirk/bedrock-plugin-dynamically-fetch-models 2025-06-16 06:24:54 -07:00
Connor Kirkpatrick
76b889733d Dynamically fetch and list available foundation models and inference profiles 2025-06-16 11:05:34 +01:00
Kayvan Sylvan
3911fd9f5d Merge pull request #1518 from ksylvan/0615-remove-old-redundant-patterns
chore: remove duplicate/outdated patterns
2025-06-15 12:56:31 -07:00
Daniel Miessler
b06e29f8a8 Updated markdown sanitizer. 2025-06-15 12:52:39 -07:00
Kayvan Sylvan
11a7e542e1 chore: remove duplicate/outdated patterns 2025-06-15 12:47:08 -07:00
Daniel Miessler
6681078259 Updated markdown cleaner. 2025-06-15 12:45:34 -07:00
Daniel Miessler
be1edf7b1d Updated markdown cleaner. 2025-06-15 12:44:15 -07:00
github-actions[bot]
8ce748a1b1 Update version to v1.4.204 and commit 2025-06-15 05:53:11 +00:00
Kayvan Sylvan
96070f6f39 Merge pull request #1517 from ksylvan/0614-prevent-race-conditions-tag-and-release
Fix: Prevent race conditions in versioning workflow.
2025-06-14 22:51:39 -07:00
Kayvan Sylvan
ca3e89a889 ci: improve version update workflow to prevent race conditions
### CHANGES

- Add concurrency control to prevent simultaneous runs
- Pull latest main branch changes before tagging
- Fetch all remote tags before calculating version
2025-06-14 22:30:54 -07:00
github-actions[bot]
47d799d7ae Update version to v1.4.203 and commit 2025-06-14 06:01:13 +00:00
Eugen Eisler
4899ce56a5 Merge pull request #1512 from ConnorKirk/1500-add-support-for-amazon-bedrock
feat:Add support for Amazon Bedrock
2025-06-14 07:59:41 +02:00
Eugen Eisler
4a7b7becec Merge pull request #1513 from marcas756/feature/create_mnemonic_phrases
feat: create mnemonic phrase pattern
2025-06-14 07:53:05 +02:00
Eugen Eisler
80fdccbe89 Merge pull request #1516 from ksylvan/0612-fix-REST-api-put-pattern
Fix REST API pattern creation
2025-06-14 07:52:06 +02:00
Kayvan Sylvan
d9d8f7bf96 feat: add Save method to PatternsEntity for persisting patterns to filesystem
## CHANGES

- Add Save method to PatternsEntity struct
- Create pattern directory with proper permissions
- Write pattern content to system pattern file
- Add comprehensive test for Save functionality
- Verify directory creation and file contents
- Handle errors for directory and file operations
2025-06-13 15:52:01 -07:00
Marco Bacchi
a96ddbeef0 feat: create mnemonic phrase pattern
Add a new pattern for generating mnemonic phrases from diceware words. This includes two markdown files defining the user guide, and system implementation details.
2025-06-12 23:27:08 +02:00
Connor Kirkpatrick
d32a1d6a5a Add Bedrock plugin
This commits adds support for using Amazon Bedrock within fabric.
2025-06-12 13:07:12 +01:00
21 changed files with 475 additions and 124 deletions

View File

@@ -11,6 +11,10 @@ on:
permissions:
contents: write # Ensure the workflow has write permissions
concurrency:
group: version-update
cancel-in-progress: false
jobs:
update-version:
if: github.event_name == 'push' && github.ref == 'refs/heads/main'
@@ -30,6 +34,11 @@ jobs:
git config user.name "github-actions[bot]"
git config user.email "github-actions[bot]@users.noreply.github.com"
- name: Pull latest main and tags
run: |
git pull --rebase origin main
git fetch --tags
- name: Get the latest tag
id: get_latest_tag
run: |

View File

@@ -10,6 +10,7 @@ import (
"strconv"
"strings"
"github.com/danielmiessler/fabric/plugins/ai/bedrock"
"github.com/danielmiessler/fabric/plugins/ai/exolab"
"github.com/danielmiessler/fabric/plugins/strategy"
@@ -66,6 +67,7 @@ func NewPluginRegistry(db *fsdb.Db) (ret *PluginRegistry, err error) {
anthropic.NewClient(),
lmstudio.NewClient(),
exolab.NewClient(),
bedrock.NewClient(),
)
// Add all OpenAI-compatible providers

16
go.mod
View File

@@ -8,6 +8,8 @@ require (
github.com/anaskhan96/soup v1.2.5
github.com/anthropics/anthropic-sdk-go v1.4.0
github.com/atotto/clipboard v0.1.4
github.com/aws/aws-sdk-go-v2/config v1.27.27
github.com/aws/aws-sdk-go-v2/service/bedrockruntime v1.30.0
github.com/gabriel-vasile/mimetype v1.4.9
github.com/gin-gonic/gin v1.10.1
github.com/go-git/go-git/v5 v5.16.2
@@ -39,6 +41,20 @@ require (
github.com/ProtonMail/go-crypto v1.3.0 // indirect
github.com/andybalholm/cascadia v1.3.3 // indirect
github.com/araddon/dateparse v0.0.0-20210429162001-6b43995a97de // indirect
github.com/aws/aws-sdk-go-v2 v1.36.4 // indirect
github.com/aws/aws-sdk-go-v2/aws/protocol/eventstream v1.6.10 // indirect
github.com/aws/aws-sdk-go-v2/credentials v1.17.27 // indirect
github.com/aws/aws-sdk-go-v2/feature/ec2/imds v1.16.11 // indirect
github.com/aws/aws-sdk-go-v2/internal/configsources v1.3.35 // indirect
github.com/aws/aws-sdk-go-v2/internal/endpoints/v2 v2.6.35 // indirect
github.com/aws/aws-sdk-go-v2/internal/ini v1.8.0 // indirect
github.com/aws/aws-sdk-go-v2/service/bedrock v1.34.1 // indirect
github.com/aws/aws-sdk-go-v2/service/internal/accept-encoding v1.11.3 // indirect
github.com/aws/aws-sdk-go-v2/service/internal/presigned-url v1.11.17 // indirect
github.com/aws/aws-sdk-go-v2/service/sso v1.22.4 // indirect
github.com/aws/aws-sdk-go-v2/service/ssooidc v1.26.4 // indirect
github.com/aws/aws-sdk-go-v2/service/sts v1.30.3 // indirect
github.com/aws/smithy-go v1.22.2 // indirect
github.com/bytedance/sonic v1.13.3 // indirect
github.com/bytedance/sonic/loader v0.2.4 // indirect
github.com/cloudflare/circl v1.6.1 // indirect

38
go.sum
View File

@@ -31,6 +31,44 @@ github.com/armon/go-socks5 v0.0.0-20160902184237-e75332964ef5 h1:0CwZNZbxp69SHPd
github.com/armon/go-socks5 v0.0.0-20160902184237-e75332964ef5/go.mod h1:wHh0iHkYZB8zMSxRWpUBQtwG5a7fFgvEO+odwuTv2gs=
github.com/atotto/clipboard v0.1.4 h1:EH0zSVneZPSuFR11BlR9YppQTVDbh5+16AmcJi4g1z4=
github.com/atotto/clipboard v0.1.4/go.mod h1:ZY9tmq7sm5xIbd9bOK4onWV4S6X0u6GY7Vn0Yu86PYI=
github.com/aws/aws-sdk-go-v2 v1.36.3 h1:mJoei2CxPutQVxaATCzDUjcZEjVRdpsiiXi2o38yqWM=
github.com/aws/aws-sdk-go-v2 v1.36.3/go.mod h1:LLXuLpgzEbD766Z5ECcRmi8AzSwfZItDtmABVkRLGzg=
github.com/aws/aws-sdk-go-v2 v1.36.4 h1:GySzjhVvx0ERP6eyfAbAuAXLtAda5TEy19E5q5W8I9E=
github.com/aws/aws-sdk-go-v2 v1.36.4/go.mod h1:LLXuLpgzEbD766Z5ECcRmi8AzSwfZItDtmABVkRLGzg=
github.com/aws/aws-sdk-go-v2/aws/protocol/eventstream v1.6.10 h1:zAybnyUQXIZ5mok5Jqwlf58/TFE7uvd3IAsa1aF9cXs=
github.com/aws/aws-sdk-go-v2/aws/protocol/eventstream v1.6.10/go.mod h1:qqvMj6gHLR/EXWZw4ZbqlPbQUyenf4h82UQUlKc+l14=
github.com/aws/aws-sdk-go-v2/config v1.27.27 h1:HdqgGt1OAP0HkEDDShEl0oSYa9ZZBSOmKpdpsDMdO90=
github.com/aws/aws-sdk-go-v2/config v1.27.27/go.mod h1:MVYamCg76dFNINkZFu4n4RjDixhVr51HLj4ErWzrVwg=
github.com/aws/aws-sdk-go-v2/credentials v1.17.27 h1:2raNba6gr2IfA0eqqiP2XiQ0UVOpGPgDSi0I9iAP+UI=
github.com/aws/aws-sdk-go-v2/credentials v1.17.27/go.mod h1:gniiwbGahQByxan6YjQUMcW4Aov6bLC3m+evgcoN4r4=
github.com/aws/aws-sdk-go-v2/feature/ec2/imds v1.16.11 h1:KreluoV8FZDEtI6Co2xuNk/UqI9iwMrOx/87PBNIKqw=
github.com/aws/aws-sdk-go-v2/feature/ec2/imds v1.16.11/go.mod h1:SeSUYBLsMYFoRvHE0Tjvn7kbxaUhl75CJi1sbfhMxkU=
github.com/aws/aws-sdk-go-v2/internal/configsources v1.3.34 h1:ZK5jHhnrioRkUNOc+hOgQKlUL5JeC3S6JgLxtQ+Rm0Q=
github.com/aws/aws-sdk-go-v2/internal/configsources v1.3.34/go.mod h1:p4VfIceZokChbA9FzMbRGz5OV+lekcVtHlPKEO0gSZY=
github.com/aws/aws-sdk-go-v2/internal/configsources v1.3.35 h1:o1v1VFfPcDVlK3ll1L5xHsaQAFdNtZ5GXnNR7SwueC4=
github.com/aws/aws-sdk-go-v2/internal/configsources v1.3.35/go.mod h1:rZUQNYMNG+8uZxz9FOerQJ+FceCiodXvixpeRtdESrU=
github.com/aws/aws-sdk-go-v2/internal/endpoints/v2 v2.6.34 h1:SZwFm17ZUNNg5Np0ioo/gq8Mn6u9w19Mri8DnJ15Jf0=
github.com/aws/aws-sdk-go-v2/internal/endpoints/v2 v2.6.34/go.mod h1:dFZsC0BLo346mvKQLWmoJxT+Sjp+qcVR1tRVHQGOH9Q=
github.com/aws/aws-sdk-go-v2/internal/endpoints/v2 v2.6.35 h1:R5b82ubO2NntENm3SAm0ADME+H630HomNJdgv+yZ3xw=
github.com/aws/aws-sdk-go-v2/internal/endpoints/v2 v2.6.35/go.mod h1:FuA+nmgMRfkzVKYDNEqQadvEMxtxl9+RLT9ribCwEMs=
github.com/aws/aws-sdk-go-v2/internal/ini v1.8.0 h1:hT8rVHwugYE2lEfdFE0QWVo81lF7jMrYJVDWI+f+VxU=
github.com/aws/aws-sdk-go-v2/internal/ini v1.8.0/go.mod h1:8tu/lYfQfFe6IGnaOdrpVgEL2IrrDOf6/m9RQum4NkY=
github.com/aws/aws-sdk-go-v2/service/bedrock v1.34.1 h1:sD4KqDKG8aOaMWaWTMB8l8VnLa/Di7XHb0Uf4plrndA=
github.com/aws/aws-sdk-go-v2/service/bedrock v1.34.1/go.mod h1:lrn8DOVFYFeaUZKxJ95T5eGDBjnhffgGz68Wq2sfBbA=
github.com/aws/aws-sdk-go-v2/service/bedrockruntime v1.30.0 h1:eMOwQ8ZZK+76+08RfxeaGUtRFN6wxmD1rvqovc2kq2w=
github.com/aws/aws-sdk-go-v2/service/bedrockruntime v1.30.0/go.mod h1:0b5Rq7rUvSQFYHI1UO0zFTV/S6j6DUyuykXA80C+YOI=
github.com/aws/aws-sdk-go-v2/service/internal/accept-encoding v1.11.3 h1:dT3MqvGhSoaIhRseqw2I0yH81l7wiR2vjs57O51EAm8=
github.com/aws/aws-sdk-go-v2/service/internal/accept-encoding v1.11.3/go.mod h1:GlAeCkHwugxdHaueRr4nhPuY+WW+gR8UjlcqzPr1SPI=
github.com/aws/aws-sdk-go-v2/service/internal/presigned-url v1.11.17 h1:HGErhhrxZlQ044RiM+WdoZxp0p+EGM62y3L6pwA4olE=
github.com/aws/aws-sdk-go-v2/service/internal/presigned-url v1.11.17/go.mod h1:RkZEx4l0EHYDJpWppMJ3nD9wZJAa8/0lq9aVC+r2UII=
github.com/aws/aws-sdk-go-v2/service/sso v1.22.4 h1:BXx0ZIxvrJdSgSvKTZ+yRBeSqqgPM89VPlulEcl37tM=
github.com/aws/aws-sdk-go-v2/service/sso v1.22.4/go.mod h1:ooyCOXjvJEsUw7x+ZDHeISPMhtwI3ZCB7ggFMcFfWLU=
github.com/aws/aws-sdk-go-v2/service/ssooidc v1.26.4 h1:yiwVzJW2ZxZTurVbYWA7QOrAaCYQR72t0wrSBfoesUE=
github.com/aws/aws-sdk-go-v2/service/ssooidc v1.26.4/go.mod h1:0oxfLkpz3rQ/CHlx5hB7H69YUpFiI1tql6Q6Ne+1bCw=
github.com/aws/aws-sdk-go-v2/service/sts v1.30.3 h1:ZsDKRLXGWHk8WdtyYMoGNO7bTudrvuKpDKgMVRlepGE=
github.com/aws/aws-sdk-go-v2/service/sts v1.30.3/go.mod h1:zwySh8fpFyXp9yOr/KVzxOl8SRqgf/IDw5aUt9UKFcQ=
github.com/aws/smithy-go v1.22.2 h1:6D9hW43xKFrRx/tXXfAlIZc4JI+yQe6snnWcQyxSyLQ=
github.com/aws/smithy-go v1.22.2/go.mod h1:irrKGvNn1InZwb2d7fkIRNucdfwR8R+Ts3wxYa/cJHg=
github.com/bytedance/sonic v1.13.3 h1:MS8gmaH16Gtirygw7jV91pDCN33NyMrPbN7qiYhEsF0=
github.com/bytedance/sonic v1.13.3/go.mod h1:o68xyaF9u2gvVBuGHPlUVCy+ZfmNNO5ETf1+KgkJhz4=
github.com/bytedance/sonic/loader v0.1.1/go.mod h1:ncP89zfokxS5LZrJxl5z0UJcsk4M4yY2JpfqGeCtNLU=

View File

@@ -43,6 +43,54 @@ schema = 3
[mod."github.com/atotto/clipboard"]
version = "v0.1.4"
hash = "sha256-ZZ7U5X0gWOu8zcjZcWbcpzGOGdycwq0TjTFh/eZHjXk="
[mod."github.com/aws/aws-sdk-go-v2"]
version = "v1.36.4"
hash = "sha256-Cpdphp8FQUbQlhAYvtPKDh1oZc84+/0bzLlx8CM1/BM="
[mod."github.com/aws/aws-sdk-go-v2/aws/protocol/eventstream"]
version = "v1.6.10"
hash = "sha256-9+ZMhWxtsm7ZtZCjBV5PZkOR5rt3bCOznuv45Iwf55c="
[mod."github.com/aws/aws-sdk-go-v2/config"]
version = "v1.27.27"
hash = "sha256-jQmc1lJmVeTezSeFs6KL2HAvCkP9ZWMdVbG5ymJQrKs="
[mod."github.com/aws/aws-sdk-go-v2/credentials"]
version = "v1.17.27"
hash = "sha256-7ITZjIF0ZmmCG3u5d88IfsAj0KF1IFm9KhWFlC6RtQo="
[mod."github.com/aws/aws-sdk-go-v2/feature/ec2/imds"]
version = "v1.16.11"
hash = "sha256-uedtRd/SIcFJlYZg1jtJdIJViZq1Poks9/J2Bm9/Ehw="
[mod."github.com/aws/aws-sdk-go-v2/internal/configsources"]
version = "v1.3.35"
hash = "sha256-AyQ+eJvyhahypIAqPScdkn44MYwBcr9iyrMC1BRSeZI="
[mod."github.com/aws/aws-sdk-go-v2/internal/endpoints/v2"]
version = "v2.6.35"
hash = "sha256-c8K+Nk5XrFMWaaxVsyhKgyJBZhs3Hkhjr/dIDXWZfSQ="
[mod."github.com/aws/aws-sdk-go-v2/internal/ini"]
version = "v1.8.0"
hash = "sha256-v76jTAr4rEgS5en49ikLh6nuvclN+VjpOPj83ZQ3sLo="
[mod."github.com/aws/aws-sdk-go-v2/service/bedrock"]
version = "v1.34.1"
hash = "sha256-OK7t+ieq4pviCnnhfSytANBF5Lwdz4KxjN10CC5pXyY="
[mod."github.com/aws/aws-sdk-go-v2/service/bedrockruntime"]
version = "v1.30.0"
hash = "sha256-MsEQfbqIREtMikRFqBpLCqdAC4gfgPSNbk08k5OJTbo="
[mod."github.com/aws/aws-sdk-go-v2/service/internal/accept-encoding"]
version = "v1.11.3"
hash = "sha256-TRhoRd7iY7K+pfdkSQLItyr52k2jO4TMYQ5vRGiOOMk="
[mod."github.com/aws/aws-sdk-go-v2/service/internal/presigned-url"]
version = "v1.11.17"
hash = "sha256-eUoYDAXcQNzCmwjXO9RWhrt0jGYlSjt2vQOlAlpIfoE="
[mod."github.com/aws/aws-sdk-go-v2/service/sso"]
version = "v1.22.4"
hash = "sha256-Q3tyDdJVq0BAstOYvCKPvNS4EHkhXt1pL/23KPQJMHM="
[mod."github.com/aws/aws-sdk-go-v2/service/ssooidc"]
version = "v1.26.4"
hash = "sha256-cPv6nmVPOjMUZjN2IeEiYQSzLeAOrfgGnSSvvhJ6iL4="
[mod."github.com/aws/aws-sdk-go-v2/service/sts"]
version = "v1.30.3"
hash = "sha256-4z/K4GPW9osiNM3SxFNZYsVPnSSU50Iuv29Sb2n4Fbk="
[mod."github.com/aws/smithy-go"]
version = "v1.22.2"
hash = "sha256-YdwVeW509cpqU357MjDM8ReL1vftkW8XIhSbJsbTh/s="
[mod."github.com/bytedance/sonic"]
version = "v1.13.3"
hash = "sha256-Nnt5b2NkIvSXhGERQmyI0ka28hbWi7A7Zn3dsAjPcEA="

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@@ -1 +1 @@
"1.4.202"
"1.4.205"

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@@ -0,0 +1,37 @@
# create_mnemonic_phrases
Generate short, memorable sentences that embed Dicewarestyle words **unchanged and in order**. This pattern is ideal for turning a raw Diceware word list into phrases that are easier to recall while preserving the exact secret.
## What is Diceware?
Diceware is a passphrase scheme that maps every possible roll of **five sixsided dice** (1111166666) to a unique word. Because there are `6^5 = 7776` combinations, the canonical list contains the same number of entries.
### Entropy of the standard 7776word list
```text
words = 7776
entropy_per_word = log2(words) ≈ 12.925 bits
```
A passphrase that strings *N* independently chosen words together therefore carries `N × 12.925bits` of entropy—≈77.5bits for six words, ≈129bits for ten, and so on. Four or more words already outclass most humanmade passwords.
## Pattern overview
The accompanying **`system.md`** file instructs Fabric to:
1. Echo the supplied words back in **bold**, separated by commas.
2. Generate **five** distinct, short sentences that include the words **in the same order and spelling**, enabling rapid rote learning or spacedrepetition drills.
The output is deliberately minimalist—no extra commentary—so you can pipe it straight into other scripts.
## Quick start
```bash
# 1  Pick five random words from any Dicewarecompatible list
shuf -n 5 diceware_wordlist.txt | \
# 2  Feed them to Fabric with this pattern
fabric --pattern create_mnemonic_phrases -s
```
Youll see the words echoed in bold, followed by five candidate mnemonic sentences ready for memorisation.

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@@ -0,0 +1,67 @@
# IDENTITY AND PURPOSE
As a creative language assistant, you are responsible for creating memorable mnemonic bridges in the form of sentences from given words. The order and spelling of the words must remain unchanged. Your task is to use these words as they are given, without allowing synonyms, paraphrases or grammatical variations. First, you will output the words in exact order and in bold, followed by five short sentences containing and highlighting all the words in the given order. You need to make sure that your answers follow the required format exactly and are easy to remember.
Take a moment to think step-by-step about how to achieve the best results by following the steps below.
# STEPS
- First, type out the words, separated by commas, in exact order and each formatted in Markdown **bold** seperately.
- Then create five short, memorable sentences. Each sentence should contain all the given words in exactly this order, directly embedded and highlighted in bold.
# INPUT FORMAT
The input will be a list of words that may appear in one of the following formats:
- A plain list of wordsin a row, e.g.:
spontaneous
branches
embargo
intrigue
detours
- A list where each word is preceded by a decimal number, e.g.:
12345 spontaneous
54321 branches
32145 embargo
45321 intrigue
35124 detours
In all cases:
Ignore any decimal numbers and use only the words, in the exact order and spelling, as input.
# OUTPUT INSTRUCTIONS
- The output is **only** in Markdown format.
- Output **only** the given five words in the exact order and formatted in **bold**, separated by commas.
- This is followed by exactly five short, memorable sentences. Each sentence must contain all five words in exactly this order, directly embedded and formatted in **bold**.
- Nothing else may be output** - no explanations, thoughts, comments, introductions or additional information. Only the formatted word list and the five sentences.
- The sentences should be short and memorable!
- **Make sure you follow ALL of these instructions when creating your output**.
## EXAMPLE
**spontaneous**, **branches**, **embargo**, **intrigue**, **detours**
1. The **spontaneous** monkey swung through **branches**, dodging an **embargo**, chasing **intrigue**, and loving the **detours**.
2. Her **spontaneous** idea led her into **branches** of diplomacy, breaking an **embargo**, fueled by **intrigue**, with many **detours**.
3. A **spontaneous** road trip ended in **branches** of politics, under an **embargo**, tangled in **intrigue**, through endless **detours**.
4. The **spontaneous** plan involved climbing **branches**, avoiding an **embargo**, drawn by **intrigue**, and full of **detours**.
5. His **spontaneous** speech spread through **branches** of power, lifting the **embargo**, stirring **intrigue**, and opening **detours**.
# INPUT

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@@ -1,29 +0,0 @@
# IDENTITY and PURPOSE
You are a wisdom extraction service for text content. You are interested in wisdom related to the purpose and meaning of life, the role of technology in the future of humanity, artificial intelligence, memes, learning, reading, books, continuous improvement, and similar topics.
Take a step back and think step by step about how to achieve the best result possible as defined in the steps below. You have a lot of freedom to make this work well.
## OUTPUT SECTIONS
1. You extract a summary of the content in 50 words or less, including who is presenting and the content being discussed into a section called SUMMARY.
2. You extract the top 50 ideas from the input in a section called IDEAS:. If there are less than 50 then collect all of them.
3. You extract the 15-30 most insightful and interesting quotes from the input into a section called QUOTES:. Use the exact quote text from the input.
4. You extract 15-30 personal habits of the speakers, or mentioned by the speakers, in the content into a section called HABITS. Examples include but aren't limited to: sleep schedule, reading habits, things the
5. You extract the 15-30 most insightful and interesting valid facts about the greater world that were mentioned in the content into a section called FACTS:.
6. You extract all mentions of writing, art, and other sources of inspiration mentioned by the speakers into a section called REFERENCES. This should include any and all references to something that the speaker mentioned.
7. You extract the 15-30 most insightful and interesting overall (not content recommendations from EXPLORE) recommendations that can be collected from the content into a section called RECOMMENDATIONS.
## OUTPUT INSTRUCTIONS
1. You only output Markdown.
2. Do not give warnings or notes; only output the requested sections.
3. You use numbered lists, not bullets.
4. Do not repeat ideas, quotes, habits, facts, or references.
5. Do not start items with the same opening words.

View File

@@ -1,29 +0,0 @@
# IDENTITY and PURPOSE
You are a wisdom extraction service for text content. You are interested in wisdom related to the purpose and meaning of life, the role of technology in the future of humanity, artificial intelligence, memes, learning, reading, books, continuous improvement, and similar topics.
Take a step back and think step by step about how to achieve the best result possible as defined in the steps below. You have a lot of freedom to make this work well.
## OUTPUT SECTIONS
1. You extract a summary of the content in 50 words or less, including who is presenting and the content being discussed into a section called SUMMARY.
2. You extract the top 50 ideas from the input in a section called IDEAS:. If there are less than 50 then collect all of them.
3. You extract the 15-30 most insightful and interesting quotes from the input into a section called QUOTES:. Use the exact quote text from the input.
4. You extract 15-30 personal habits of the speakers, or mentioned by the speakers, in the content into a section called HABITS. Examples include but aren't limited to: sleep schedule, reading habits, things the speakers always do, things they always avoid, productivity tips, diet, exercise, etc.
5. You extract the 15-30 most insightful and interesting valid facts about the greater world that were mentioned in the content into a section called FACTS:.
6. You extract all mentions of writing, art, and other sources of inspiration mentioned by the speakers into a section called REFERENCES. This should include any and all references to something that the speaker mentioned.
7. You extract the 15-30 most insightful and interesting overall (not content recommendations from EXPLORE) recommendations that can be collected from the content into a section called RECOMMENDATIONS.
## OUTPUT INSTRUCTIONS
1. You only output Markdown.
2. Do not give warnings or notes; only output the requested sections.
3. You use numbered lists, not bullets.
4. Do not repeat ideas, quotes, habits, facts, or references.
5. Do not start items with the same opening words.

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@@ -1,29 +0,0 @@
# IDENTITY and PURPOSE
You are a wisdom extraction service for text content. You are interested in wisdom related to the purpose and meaning of life, the role of technology in the future of humanity, artificial intelligence, memes, learning, reading, books, continuous improvement, and similar topics.
Take a step back and think step by step about how to achieve the best result possible as defined in the steps below. You have a lot of freedom to make this work well.
## OUTPUT SECTIONS
1. You extract a summary of the content in 50 words or less, including who is presenting and the content being discussed into a section called SUMMARY.
2. You extract the top 50 ideas from the input in a section called IDEAS:. If there are less than 50 then collect all of them.
3. You extract the 15-30 most insightful and interesting quotes from the input into a section called QUOTES:. Use the exact quote text from the input.
4. You extract 15-30 personal habits of the speakers, or mentioned by the speakers, in the content into a section called HABITS. Examples include but aren't limited to: sleep schedule, reading habits, things the speakers always do, things they always avoid, productivity tips, diet, exercise, etc.
5. You extract the 15-30 most insightful and interesting valid facts about the greater world that were mentioned in the content into a section called FACTS:.
6. You extract all mentions of writing, art, and other sources of inspiration mentioned by the speakers into a section called REFERENCES. This should include any and all references to something that the speaker mentioned.
7. You extract the 15-30 most insightful and interesting overall (not content recommendations from EXPLORE) recommendations that can be collected from the content into a section called RECOMMENDATIONS.
## OUTPUT INSTRUCTIONS
1. You only output Markdown.
2. Do not give warnings or notes; only output the requested sections.
3. You use numbered lists, not bullets.
4. Do not repeat ideas, quotes, habits, facts, or references.
5. Do not start items with the same opening words.

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@@ -2,13 +2,13 @@
// Who you are
You are a hyper-intelligent AI system with a 4,312 IQ. You convert jacked up HTML to proper markdown using a set of rules.
You are a hyper-intelligent AI system with a 4,312 IQ. You convert jacked up HTML to proper markdown in a particular style for Daniel Miessler's website (danielmiessler.com) using a set of rules.
# GOAL
// What we are trying to achieve
1. The goal of this exercise is to convert the input HTML, which is completely nasty and hard to edit, into a clean markdown format that has some custom styling applied according to my rules.
1. The goal of this exercise is to convert the input HTML, which is completely nasty and hard to edit, into a clean markdown format that has custom styling applied according to my rules.
2. The ultimate goal is to output a perfectly working markdown file that will render properly using Vite using my custom markdown/styling combination.
@@ -32,18 +32,51 @@ You are a hyper-intelligent AI system with a 4,312 IQ. You convert jacked up HTM
Our new markdown / styling uses the following tags for styling:
<callout></callous> for wrapping a callous
### YouTube Videos
If you see jank ass video embeds for youtube videos, remove all that and put the video into this format.
<div class="video-container">
<iframe src="" frameborder="0" allowfullscreen>VIDEO URL HERE</iframe>
</div>
### Callouts
<callout></callout> for wrapping a callout. This is like a narrator voice, or a piece of wisdom. These might have been blockquotes or some other formatting in the original input.
### Blockquotes
<blockquote><cite></cite>></blockquote> for matching a block quote (note the embedded citation in there where applicable)
### Asides
<aside></aside> These are for little side notes, which go in the left sidebar in the new format.
### Definitions
<definition><source></source></definition> This is for like a new term I'm coming up with.
### Notes
<bottomNote>
1. Note one
2. Note two.
3. Etc.
</bottomNote>
NOTE: You'll have to remove the ### Note or whatever syntax is already in the input because the bottomNote inclusion adds that automatically.
# OUTPUT INSTRUCTIONS
// What the output should look like:
- The output should perfectly preserve the input, only it should look way better once rendered to HTML because it'll be following the new styling.
- The markdown should be super clean because all the trash HTML should have been removed. Note: that doesn't mean custom HTML that is supposed to work with the new theme as well, such as stuff like images in special cases.
- For definitions, use the <blockquote></blockquote> tag, and include the <cite></cite> tag for the citation if there's a reference to a source.
- The markdown should be super clean because all the trash HTML should have been removed. Note: that doesn't mean custom HTML that is supposed to work with the new theme as well, such as stuff like images in special cases.
- Ensure YOU HAVE NOT CHANGED THE INPUT CONTENT—only the formatting. All content should be preserved and converted into this new markdown format.
# INPUT
INPUT:
{{input}}

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@@ -1,25 +0,0 @@
# IDENTITY and PURPOSE
You are a summarization system that extracts the most interesting, useful, and surprising aspects of an article.
Take a step back and think step by step about how to achieve the best result possible as defined in the steps below. You have a lot of freedom to make this work well.
## OUTPUT SECTIONS
1. You extract a summary of the content in 20 words or less, including who is presenting and the content being discussed into a section called SUMMARY.
2. You extract the top 20 ideas from the input in a section called IDEAS:.
3. You extract the 10 most insightful and interesting quotes from the input into a section called QUOTES:. Use the exact quote text from the input.
4. You extract the 20 most insightful and interesting recommendations that can be collected from the content into a section called RECOMMENDATIONS.
5. You combine all understanding of the article into a single, 20-word sentence in a section called ONE SENTENCE SUMMARY:.
## OUTPUT INSTRUCTIONS
1. You only output Markdown.
2. Do not give warnings or notes; only output the requested sections.
3. You use numbered lists, not bullets.
4. Do not repeat ideas, or quotes.
5. Do not start items with the same opening words.

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@@ -1 +0,0 @@
CONTENT:

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@@ -0,0 +1,188 @@
// Package bedrock provides a plugin to use Amazon Bedrock models.
// Supported models are defined in the MODELS variable.
// To add additional models, append them to the MODELS array. Models must support the Converse and ConverseStream operations
// Authentication uses the AWS credential provider chain, similar.to the AWS CLI and SDKs
// https://docs.aws.amazon.com/sdkref/latest/guide/standardized-credentials.html
package bedrock
import (
"context"
"fmt"
"github.com/danielmiessler/fabric/common"
"github.com/danielmiessler/fabric/plugins"
"github.com/aws/aws-sdk-go-v2/aws"
"github.com/aws/aws-sdk-go-v2/aws/middleware"
"github.com/aws/aws-sdk-go-v2/config"
"github.com/aws/aws-sdk-go-v2/service/bedrock"
"github.com/aws/aws-sdk-go-v2/service/bedrockruntime"
"github.com/aws/aws-sdk-go-v2/service/bedrockruntime/types"
goopenai "github.com/sashabaranov/go-openai"
)
// BedrockClient is a plugin to add support for Amazon Bedrock
type BedrockClient struct {
*plugins.PluginBase
runtimeClient *bedrockruntime.Client
controlPlaneClient *bedrock.Client
}
// NewClient returns a new Bedrock plugin client
func NewClient() (ret *BedrockClient) {
vendorName := "Bedrock"
ctx := context.TODO()
cfg, err := config.LoadDefaultConfig(ctx)
cfg.APIOptions = append(cfg.APIOptions, middleware.AddUserAgentKeyValue("aiosc", "fabric"))
if err != nil {
fmt.Printf("Unable to load AWS Config: %s\n", err)
}
runtimeClient := bedrockruntime.NewFromConfig(cfg)
controlPlaneClient := bedrock.NewFromConfig(cfg)
ret = &BedrockClient{
PluginBase: &plugins.PluginBase{
Name: vendorName,
EnvNamePrefix: plugins.BuildEnvVariablePrefix(vendorName),
},
runtimeClient: runtimeClient,
controlPlaneClient: controlPlaneClient,
}
return
}
// ListModels lists the models available for use with the Bedrock plugin
func (c *BedrockClient) ListModels() ([]string, error) {
models := []string{}
ctx := context.TODO()
foundationModels, err := c.controlPlaneClient.ListFoundationModels(ctx, &bedrock.ListFoundationModelsInput{})
if err != nil {
return nil, err
}
for _, model := range foundationModels.ModelSummaries {
models = append(models, *model.ModelId)
}
inferenceProfilesPaginator := bedrock.NewListInferenceProfilesPaginator(c.controlPlaneClient, &bedrock.ListInferenceProfilesInput{})
for inferenceProfilesPaginator.HasMorePages() {
inferenceProfiles, err := inferenceProfilesPaginator.NextPage(context.TODO())
if err != nil {
return nil, err
}
for _, profile := range inferenceProfiles.InferenceProfileSummaries {
models = append(models, *profile.InferenceProfileId)
}
}
return models, nil
}
// SendStream sends the messages to the the Bedrock ConverseStream API
func (c *BedrockClient) SendStream(msgs []*goopenai.ChatCompletionMessage, opts *common.ChatOptions, channel chan string) (err error) {
messages := c.toMessages(msgs)
var converseInput = bedrockruntime.ConverseStreamInput{
ModelId: aws.String(opts.Model),
Messages: messages,
InferenceConfig: &types.InferenceConfiguration{
Temperature: aws.Float32(float32(opts.Temperature)),
TopP: aws.Float32(float32(opts.TopP))},
}
response, err := c.runtimeClient.ConverseStream(context.TODO(), &converseInput)
if err != nil {
fmt.Printf("Error conversing with Bedrock: %s\n", err)
return
}
for event := range response.GetStream().Events() {
// Possible ConverseStream event types
// https://docs.aws.amazon.com/bedrock/latest/userguide/conversation-inference-call.html#conversation-inference-call-response-converse-stream
switch v := event.(type) {
case *types.ConverseStreamOutputMemberContentBlockDelta:
text, ok := v.Value.Delta.(*types.ContentBlockDeltaMemberText)
if ok {
channel <- text.Value
}
case *types.ConverseStreamOutputMemberMessageStop:
channel <- "\n"
close(channel)
// Unused Events
case *types.ConverseStreamOutputMemberMessageStart,
*types.ConverseStreamOutputMemberContentBlockStart,
*types.ConverseStreamOutputMemberContentBlockStop,
*types.ConverseStreamOutputMemberMetadata:
default:
fmt.Printf("Error: Unknown stream event type: %T\n", v)
}
}
return nil
}
// Send sends the messages the Bedrock Converse API
func (c *BedrockClient) Send(ctx context.Context, msgs []*goopenai.ChatCompletionMessage, opts *common.ChatOptions) (ret string, err error) {
messages := c.toMessages(msgs)
var converseInput = bedrockruntime.ConverseInput{
ModelId: aws.String(opts.Model),
Messages: messages,
}
response, err := c.runtimeClient.Converse(ctx, &converseInput)
if err != nil {
fmt.Printf("Error conversing with Bedrock: %s\n", err)
return "", err
}
responseText, _ := response.Output.(*types.ConverseOutputMemberMessage)
responseContentBlock := responseText.Value.Content[0]
text, _ := responseContentBlock.(*types.ContentBlockMemberText)
return text.Value, nil
}
func (c *BedrockClient) NeedsRawMode(modelName string) bool {
return false
}
// toMessages converts the array of input messages from the ChatCompletionMessageType to the
// Bedrock Converse Message type
// The system role messages are mapped to the user role as they contain a mix of system messages,
// pattern content and user input.
func (c *BedrockClient) toMessages(inputMessages []*goopenai.ChatCompletionMessage) (messages []types.Message) {
for _, msg := range inputMessages {
roles := map[string]types.ConversationRole{
goopenai.ChatMessageRoleUser: types.ConversationRoleUser,
goopenai.ChatMessageRoleAssistant: types.ConversationRoleAssistant,
goopenai.ChatMessageRoleSystem: types.ConversationRoleUser,
}
role, ok := roles[msg.Role]
if !ok {
continue
}
message := types.Message{
Role: role,
Content: []types.ContentBlock{&types.ContentBlockMemberText{Value: msg.Content}},
}
messages = append(messages, message)
}
return
}

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@@ -150,3 +150,14 @@ func (o *PatternsEntity) Get(name string) (*Pattern, error) {
// Use GetPattern with no variables
return o.GetApplyVariables(name, nil, "")
}
func (o *PatternsEntity) Save(name string, content []byte) (err error) {
patternDir := filepath.Join(o.Dir, name)
if err = os.MkdirAll(patternDir, os.ModePerm); err != nil {
return fmt.Errorf("could not create pattern directory: %v", err)
}
patternPath := filepath.Join(patternDir, o.SystemPatternFile)
if err = os.WriteFile(patternPath, content, 0644); err != nil {
return fmt.Errorf("could not save pattern: %v", err)
}
return nil
}

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@@ -144,3 +144,21 @@ func TestGetApplyVariables(t *testing.T) {
})
}
}
func TestPatternsEntity_Save(t *testing.T) {
entity, cleanup := setupTestPatternsEntity(t)
defer cleanup()
name := "new-pattern"
content := []byte("test pattern content")
require.NoError(t, entity.Save(name, content))
patternDir := filepath.Join(entity.Dir, name)
info, err := os.Stat(patternDir)
require.NoError(t, err)
assert.True(t, info.IsDir())
data, err := os.ReadFile(filepath.Join(patternDir, entity.SystemPatternFile))
require.NoError(t, err)
assert.Equal(t, content, data)
}

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@@ -1,3 +1,3 @@
package main
var version = "v1.4.202"
var version = "v1.4.205"