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

model_as_env_variable
jad2121 9 months ago
parent
6c7143dd51
commit
d37dc4565c
5 changed files with 345 additions and 11 deletions
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  1. 21
      README.md
  2. 6
      installer/client/cli/fabric.py
  3. 91
      installer/client/cli/utils.py
  4. 237
      poetry.lock
  5. 1
      pyproject.toml

21
README.md
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@ -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]
[--context]
fabric [-h] [--text TEXT] [--copy] [--agents {trip_planner,ApiKeys}]
[--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

6
installer/client/cli/fabric.py
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@ -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:

91
installer/client/cli/utils.py
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@ -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.
"""
if not os.path.exists(self.env_file):
api_key = api_key.strip()
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()

237
poetry.lock
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@ -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 = [
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]
[package.dependencies]
huggingface_hub = ">=0.16.4,<1.0"
[package.extras]
dev = ["tokenizers[testing]"]
docs = ["setuptools_rust", "sphinx", "sphinx_rtd_theme"]
testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
[[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"

1
pyproject.toml
Unescape View File

@ -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"

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