added support for claude. choose --claude. make sure to run --setup again to enter your claude api key

README.md

@@ -197,8 +197,10 @@ Once you have it all set up, here's how to use it.
    `fabric -h`
 
 ```bash
-fabric [-h] [--text TEXT] [--copy] [--agents {trip_planner,ApiKeys}] [--output [OUTPUT]] [--stream] [--list] [--update] [--pattern PATTERN] [--setup] [--local] [--model MODEL] [--listmodels]
+fabric [-h] [--text TEXT] [--copy] [--agents {trip_planner,ApiKeys}]
-              [--context]
+              [--output [OUTPUT]] [--stream] [--list] [--update]
+              [--pattern PATTERN] [--setup] [--local] [--claude]
+              [--model MODEL] [--listmodels] [--context]
 
 An open source framework for augmenting humans using AI.
 
@@ -207,20 +209,27 @@ options:
   --text TEXT, -t TEXT  Text to extract summary from
   --copy, -C            Copy the response to the clipboard
   --agents {trip_planner,ApiKeys}, -a {trip_planner,ApiKeys}
-                        Use an AI agent to help you with a task. Acceptable values are 'trip_planner' or 'ApiKeys'. This option cannot be used with any other flag.
+                        Use an AI agent to help you with a task. Acceptable
+                        values are 'trip_planner' or 'ApiKeys'. This option
+                        cannot be used with any other flag.
   --output [OUTPUT], -o [OUTPUT]
                         Save the response to a file
-  --stream, -s          Use this option if you want to see the results in realtime. NOTE: You will not be able to pipe the output into another command.
+  --stream, -s          Use this option if you want to see the results in
+                        realtime. NOTE: You will not be able to pipe the
+                        output into another command.
   --list, -l            List available patterns
   --update, -u          Update patterns
   --pattern PATTERN, -p PATTERN
                         The pattern (prompt) to use
   --setup               Set up your fabric instance
   --local, -L           Use local LLM. Default is llama2
+  --claude              Use Claude AI
   --model MODEL, -m MODEL
-                        Select the model to use (GPT-4 by default for chatGPT and llama2 for Ollama)
+                        Select the model to use (GPT-4 by default for chatGPT
+                        and llama2 for Ollama)
   --listmodels          List all available models
-  --context, -c         Use Context file (context.md) to add context to your pattern
+  --context, -c         Use Context file (context.md) to add context to your
+                        pattern
 ```
 
 #### Example commands

installer/client/cli/fabric.py

@@ -45,6 +45,10 @@ def main():
     )
     parser.add_argument(
         '--local', '-L', help="Use local LLM. Default is llama2", action="store_true")
+
+    parser.add_argument(
+        "--claude", help="Use Claude AI", action="store_true")
+
     parser.add_argument(
         "--model", "-m", help="Select the model to use (GPT-4 by default for chatGPT and llama2 for Ollama)", default="gpt-4-turbo-preview"
     )
@@ -95,6 +99,8 @@ def main():
     standalone = None
     if args.local:
         standalone = Standalone(args, args.pattern, local=True)
+    elif args.claude:
+        standalone = Standalone(args, args.pattern, claude=True)
     else:
         standalone = Standalone(args, args.pattern)
     if args.list:

installer/client/cli/utils.py

@@ -16,7 +16,7 @@ env_file = os.path.join(config_directory, ".env")
 
 
 class Standalone:
-    def __init__(self, args, pattern="", env_file="~/.config/fabric/.env", local=False):
+    def __init__(self, args, pattern="", env_file="~/.config/fabric/.env", local=False, claude=False):
         """        Initialize the class with the provided arguments and environment file.
 
         Args:
@@ -50,9 +50,13 @@ class Standalone:
         self.pattern = pattern
         self.args = args
         self.model = args.model
+        self.claude = claude
         if self.local:
             if self.args.model == 'gpt-4-turbo-preview':
-                self.args.model = 'llama2'
+                self.model = 'llama2'
+        if self.claude:
+            if self.args.model == 'gpt-4-turbo-preview':
+                self.model = 'claude-3-opus-20240229'
 
     async def localChat(self, messages):
         from ollama import AsyncClient
@@ -64,6 +68,35 @@ class Standalone:
         async for part in await AsyncClient().chat(model=self.args.model, messages=messages, stream=True):
             print(part['message']['content'], end='', flush=True)
 
+    async def claudeStream(self, system, user):
+        from anthropic import AsyncAnthropic
+        self.claudeApiKey = os.environ["CLAUDE_API_KEY"]
+        Streamingclient = AsyncAnthropic(api_key=self.claudeApiKey)
+        async with Streamingclient.messages.stream(
+            max_tokens=1024,
+            system=system,
+            messages=[user],
+            model=self.model, temperature=0.0, top_p=1.0
+        ) as stream:
+            async for text in stream.text_stream:
+                print(text, end="", flush=True)
+            print()
+
+        message = await stream.get_final_message()
+
+    async def claudeChat(self, system, user):
+        from anthropic import Anthropic
+        self.claudeApiKey = os.environ["CLAUDE_API_KEY"]
+        client = Anthropic(api_key=self.claudeApiKey)
+        message = client.messages.create(
+            max_tokens=1024,
+            system=system,
+            messages=[user],
+            model=self.model,
+            temperature=0.0, top_p=1.0
+        )
+        print(message.content[0].text)
+
     def streamMessage(self, input_data: str, context=""):
         """        Stream a message and handle exceptions.
 
@@ -82,6 +115,7 @@ class Standalone:
         )
         user_message = {"role": "user", "content": f"{input_data}"}
         wisdom_File = os.path.join(current_directory, wisdomFilePath)
+        system = ""
         buffer = ""
         if self.pattern:
             try:
@@ -104,6 +138,9 @@ class Standalone:
         try:
             if self.local:
                 asyncio.run(self.localStream(messages))
+            elif self.claude:
+                from anthropic import AsyncAnthropic
+                asyncio.run(self.claudeStream(system, user_message))
             else:
                 stream = self.client.chat.completions.create(
                     model=self.model,
@@ -129,6 +166,9 @@ class Standalone:
             if "All connection attempts failed" in str(e):
                 print(
                     "Error: cannot connect to llama2. If you have not already, please visit https://ollama.com for installation instructions")
+            if "CLAUDE_API_KEY" in str(e):
+                print(
+                    "Error: CLAUDE_API_KEY not found in environment variables. Please run --setup and add the key")
             else:
                 print(f"Error: {e}")
                 print(e)
@@ -156,6 +196,7 @@ class Standalone:
         )
         user_message = {"role": "user", "content": f"{input_data}"}
         wisdom_File = os.path.join(current_directory, wisdomFilePath)
+        system = ""
         if self.pattern:
             try:
                 with open(wisdom_File, "r") as f:
@@ -177,6 +218,8 @@ class Standalone:
         try:
             if self.local:
                 asyncio.run(self.localChat(messages))
+            elif self.claude:
+                asyncio.run(self.claudeChat(system, user_message))
             else:
                 response = self.client.chat.completions.create(
                     model=self.model,
@@ -191,6 +234,9 @@ class Standalone:
             if "All connection attempts failed" in str(e):
                 print(
                     "Error: cannot connect to llama2. If you have not already, please visit https://ollama.com for installation instructions")
+            if "CLAUDE_API_KEY" in str(e):
+                print(
+                    "Error: CLAUDE_API_KEY not found in environment variables. Please run --setup and add the key")
             else:
                 print(f"Error: {e}")
                 print(e)
@@ -369,11 +415,45 @@ class Setup:
         Raises:
             OSError: If the environment file does not exist or cannot be accessed.
         """
-
+        api_key = api_key.strip()
-        if not os.path.exists(self.env_file):
+        if not os.path.exists(self.env_file) and api_key:
             with open(self.env_file, "w") as f:
                 f.write(f"OPENAI_API_KEY={api_key}")
             print(f"OpenAI API key set to {api_key}")
+        elif api_key:
+            # erase the line OPENAI_API_KEY=key and write the new key
+            with open(self.env_file, "r") as f:
+                lines = f.readlines()
+            with open(self.env_file, "w") as f:
+                for line in lines:
+                    if "OPENAI_API_KEY" not in line:
+                        f.write(line)
+                f.write(f"OPENAI_API_KEY={api_key}")
+
+    def claude_key(self, claude_key):
+        """        Set the Claude API key in the environment file.
+
+        Args:
+            claude_key (str): The API key to be set.
+
+        Returns:
+            None
+
+        Raises:
+            OSError: If the environment file does not exist or cannot be accessed.
+        """
+        claude_key = claude_key.strip()
+        if os.path.exists(self.env_file) and claude_key:
+            with open(self.env_file, "r") as f:
+                lines = f.readlines()
+            with open(self.env_file, "w") as f:
+                for line in lines:
+                    if "CLAUDE_API_KEY" not in line:
+                        f.write(line)
+                f.write(f"CLAUDE_API_KEY={claude_key}")
+        elif claude_key:
+            with open(self.env_file, "w") as f:
+                f.write(f"CLAUDE_API_KEY={claude_key}")
 
     def patterns(self):
         """        Method to update patterns and exit the system.
@@ -396,6 +476,9 @@ class Setup:
         print("Welcome to Fabric. Let's get started.")
         apikey = input("Please enter your OpenAI API key\n")
         self.api_key(apikey.strip())
+        print("Please enter your claude API key. If you do not have one, press enter.")
+        claudekey = input()
+        self.claude_key(claudekey.strip())
         self.patterns()
 
 

poetry.lock

@@ -121,6 +121,30 @@ files = [
     {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
 ]
 
+[[package]]
+name = "anthropic"
+version = "0.18.1"
+description = "The official Python library for the anthropic API"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "anthropic-0.18.1-py3-none-any.whl", hash = "sha256:b85aee64f619ce1b1964ba733a09adc4053e7bc4e6d4186001229ec191099dcf"},
+    {file = "anthropic-0.18.1.tar.gz", hash = "sha256:f5d1caafd43f6cc933a79753a93531605095f040a384f6a900c3de9c3fb6694e"},
+]
+
+[package.dependencies]
+anyio = ">=3.5.0,<5"
+distro = ">=1.7.0,<2"
+httpx = ">=0.23.0,<1"
+pydantic = ">=1.9.0,<3"
+sniffio = "*"
+tokenizers = ">=0.13.0"
+typing-extensions = ">=4.7,<5"
+
+[package.extras]
+bedrock = ["boto3 (>=1.28.57)", "botocore (>=1.31.57)"]
+vertex = ["google-auth (>=2,<3)"]
+
 [[package]]
 name = "anyio"
 version = "4.3.0"
@@ -606,6 +630,22 @@ files = [
 [package.extras]
 test = ["pytest (>=6)"]
 
+[[package]]
+name = "filelock"
+version = "3.13.1"
+description = "A platform independent file lock."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "filelock-3.13.1-py3-none-any.whl", hash = "sha256:57dbda9b35157b05fb3e58ee91448612eb674172fab98ee235ccb0b5bee19a1c"},
+    {file = "filelock-3.13.1.tar.gz", hash = "sha256:521f5f56c50f8426f5e03ad3b281b490a87ef15bc6c526f168290f0c7148d44e"},
+]
+
+[package.extras]
+docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.24)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
+typing = ["typing-extensions (>=4.8)"]
+
 [[package]]
 name = "filetype"
 version = "1.2.0"
@@ -810,6 +850,41 @@ files = [
     {file = "frozenlist-1.4.1.tar.gz", hash = "sha256:c037a86e8513059a2613aaba4d817bb90b9d9b6b69aace3ce9c877e8c8ed402b"},
 ]
 
+[[package]]
+name = "fsspec"
+version = "2024.2.0"
+description = "File-system specification"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "fsspec-2024.2.0-py3-none-any.whl", hash = "sha256:817f969556fa5916bc682e02ca2045f96ff7f586d45110fcb76022063ad2c7d8"},
+    {file = "fsspec-2024.2.0.tar.gz", hash = "sha256:b6ad1a679f760dda52b1168c859d01b7b80648ea6f7f7c7f5a8a91dc3f3ecb84"},
+]
+
+[package.extras]
+abfs = ["adlfs"]
+adl = ["adlfs"]
+arrow = ["pyarrow (>=1)"]
+dask = ["dask", "distributed"]
+devel = ["pytest", "pytest-cov"]
+dropbox = ["dropbox", "dropboxdrivefs", "requests"]
+full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
+fuse = ["fusepy"]
+gcs = ["gcsfs"]
+git = ["pygit2"]
+github = ["requests"]
+gs = ["gcsfs"]
+gui = ["panel"]
+hdfs = ["pyarrow (>=1)"]
+http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"]
+libarchive = ["libarchive-c"]
+oci = ["ocifs"]
+s3 = ["s3fs"]
+sftp = ["paramiko"]
+smb = ["smbprotocol"]
+ssh = ["paramiko"]
+tqdm = ["tqdm"]
+
 [[package]]
 name = "geojson"
 version = "2.5.0"
@@ -1142,6 +1217,39 @@ cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
 
+[[package]]
+name = "huggingface-hub"
+version = "0.21.3"
+description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
+optional = false
+python-versions = ">=3.8.0"
+files = [
+    {file = "huggingface_hub-0.21.3-py3-none-any.whl", hash = "sha256:b183144336fdf2810a8c109822e0bb6ef1fd61c65da6fb60e8c3f658b7144016"},
+    {file = "huggingface_hub-0.21.3.tar.gz", hash = "sha256:26a15b604e4fc7bad37c467b76456543ec849386cbca9cd7e1e135f53e500423"},
+]
+
+[package.dependencies]
+filelock = "*"
+fsspec = ">=2023.5.0"
+packaging = ">=20.9"
+pyyaml = ">=5.1"
+requests = "*"
+tqdm = ">=4.42.1"
+typing-extensions = ">=3.7.4.3"
+
+[package.extras]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+cli = ["InquirerPy (==0.3.4)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+hf-transfer = ["hf-transfer (>=0.1.4)"]
+inference = ["aiohttp", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)"]
+quality = ["mypy (==1.5.1)", "ruff (>=0.1.3)"]
+tensorflow = ["graphviz", "pydot", "tensorflow"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+torch = ["safetensors", "torch"]
+typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
+
 [[package]]
 name = "idna"
 version = "3.6"
@@ -2919,6 +3027,133 @@ requests = ">=2.26.0"
 [package.extras]
 blobfile = ["blobfile (>=2)"]
 
+[[package]]
+name = "tokenizers"
+version = "0.15.2"
+description = ""
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "tokenizers-0.15.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:52f6130c9cbf70544287575a985bf44ae1bda2da7e8c24e97716080593638012"},
+    {file = "tokenizers-0.15.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:054c1cc9c6d68f7ffa4e810b3d5131e0ba511b6e4be34157aa08ee54c2f8d9ee"},
+    {file = "tokenizers-0.15.2-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:a9b9b070fdad06e347563b88c278995735292ded1132f8657084989a4c84a6d5"},
+    {file = "tokenizers-0.15.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ea621a7eef4b70e1f7a4e84dd989ae3f0eeb50fc8690254eacc08acb623e82f1"},
+    {file = "tokenizers-0.15.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:cf7fd9a5141634fa3aa8d6b7be362e6ae1b4cda60da81388fa533e0b552c98fd"},
+    {file = "tokenizers-0.15.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:44f2a832cd0825295f7179eaf173381dc45230f9227ec4b44378322d900447c9"},
+    {file = "tokenizers-0.15.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8b9ec69247a23747669ec4b0ca10f8e3dfb3545d550258129bd62291aabe8605"},
+    {file = "tokenizers-0.15.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:40b6a4c78da863ff26dbd5ad9a8ecc33d8a8d97b535172601cf00aee9d7ce9ce"},
+    {file = "tokenizers-0.15.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:5ab2a4d21dcf76af60e05af8063138849eb1d6553a0d059f6534357bce8ba364"},
+    {file = "tokenizers-0.15.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a47acfac7e511f6bbfcf2d3fb8c26979c780a91e06fb5b9a43831b2c0153d024"},
+    {file = "tokenizers-0.15.2-cp310-none-win32.whl", hash = "sha256:064ff87bb6acdbd693666de9a4b692add41308a2c0ec0770d6385737117215f2"},
+    {file = "tokenizers-0.15.2-cp310-none-win_amd64.whl", hash = "sha256:3b919afe4df7eb6ac7cafd2bd14fb507d3f408db7a68c43117f579c984a73843"},
+    {file = "tokenizers-0.15.2-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:89cd1cb93e4b12ff39bb2d626ad77e35209de9309a71e4d3d4672667b4b256e7"},
+    {file = "tokenizers-0.15.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:cfed5c64e5be23d7ee0f0e98081a25c2a46b0b77ce99a4f0605b1ec43dd481fa"},
+    {file = "tokenizers-0.15.2-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:a907d76dcfda37023ba203ab4ceeb21bc5683436ebefbd895a0841fd52f6f6f2"},
+    {file = "tokenizers-0.15.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:20ea60479de6fc7b8ae756b4b097572372d7e4032e2521c1bbf3d90c90a99ff0"},
+    {file = "tokenizers-0.15.2-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:48e2b9335be2bc0171df9281385c2ed06a15f5cf121c44094338306ab7b33f2c"},
+    {file = "tokenizers-0.15.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:112a1dd436d2cc06e6ffdc0b06d55ac019a35a63afd26475205cb4b1bf0bfbff"},
+    {file = "tokenizers-0.15.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4620cca5c2817177ee8706f860364cc3a8845bc1e291aaf661fb899e5d1c45b0"},
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 [[package]]
 name = "tools"
 version = "0.1.9"
@@ -3438,4 +3673,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "ecc62fcbfcde803c2e5fb751d987767dbaf06e6a4ad6548c8ec29f56661dc044"
+content-hash = "76e17c74f2e939c22858a9edaea512766a05d0d7737825b13f8b9928cc91e188"

pyproject.toml

@@ -23,6 +23,7 @@ isodate = "^0.6.1"
 youtube-transcript-api = "^0.6.2"
 pydub = "^0.25.1"
 ollama = "^0.1.7"
+anthropic = "^0.18.1"
 
 [tool.poetry.group.cli.dependencies]
 pyyaml = "^6.0.1"