mirror of
https://github.com/MervinPraison/PraisonAI.git
synced 2026-11-08 17:31:00 -10:00
v0.0.36
This commit is contained in:
MervinPraison committed
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341e4d5ea2
commit
3221f4354a
10 files changed
+451
-104
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+1
-1
@@ -1,6 +1,6 @@
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FROM python:3.11-slim
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WORKDIR /app
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COPY . .
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RUN pip install flask praisonai==0.0.35 gunicorn markdown
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RUN pip install flask praisonai==0.0.36 gunicorn markdown
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EXPOSE 8080
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CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]
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@@ -52,7 +52,7 @@ hljs.highlightAll();
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<dl>
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<dt id="praisonai.agents_generator.AgentsGenerator"><code class="flex name class">
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<span>class <span class="ident">AgentsGenerator</span></span>
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<span>(</span><span>agent_file, framework, config_list, log_level=20, agent_callback=None, task_callback=None)</span>
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<span>(</span><span>agent_file, framework, config_list, log_level=None, agent_callback=None, task_callback=None)</span>
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</code></dt>
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<dd>
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<div class="desc"><p>Initialize the AgentsGenerator object.</p>
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@@ -83,7 +83,7 @@ task_callback (callable, optional): A callback function to be executed after eac
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<span>Expand source code</span>
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</summary>
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<pre><code class="python">class AgentsGenerator:
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def __init__(self, agent_file, framework, config_list, log_level=logging.INFO, agent_callback=None, task_callback=None):
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def __init__(self, agent_file, framework, config_list, log_level=None, agent_callback=None, task_callback=None):
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"""
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Initialize the AgentsGenerator object.
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@@ -109,6 +109,9 @@ task_callback (callable, optional): A callback function to be executed after eac
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self.log_level = log_level
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self.agent_callback = agent_callback
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self.task_callback = task_callback
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self.log_level = log_level or logging.getLogger().getEffectiveLevel()
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if self.log_level == logging.NOTSET:
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self.log_level = os.environ.get('LOGLEVEL', 'INFO').upper()
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logging.basicConfig(level=self.log_level, format='%(asctime)s - %(levelname)s - %(message)s')
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self.logger = logging.getLogger(__name__)
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@@ -241,10 +244,10 @@ task_callback (callable, optional): A callback function to be executed after eac
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if os.path.isfile(tools_py_path):
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tools_dict.update(self.load_tools_from_module_class(tools_py_path))
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# print("tools.py exists in the root directory. Loading tools.py and skipping tools folder.")
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self.logger.debug("tools.py exists in the root directory. Loading tools.py and skipping tools folder.")
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elif tools_dir_path.is_dir():
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tools_dict.update(self.load_tools_from_module_class(tools_dir_path))
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# print("tools folder exists in the root directory")
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self.logger.debug("tools folder exists in the root directory")
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framework = self.framework or config.get('framework')
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@@ -328,11 +331,15 @@ task_callback (callable, optional): A callback function to be executed after eac
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task.callback = self.task_callback
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tasks.append(task)
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if agentops:
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agentops.init()
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crew = Crew(
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agents=list(agents.values()),
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tasks=tasks,
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verbose=2
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)
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if agentops:
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agentops.end_session("Success")
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self.logger.debug("Final Crew Configuration:")
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self.logger.debug(f"Agents: {crew.agents}")
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@@ -110,7 +110,7 @@ Loads environment variables from .env file or system and sets them.</p>
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file.write("FROM python:3.11-slim\n")
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file.write("WORKDIR /app\n")
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file.write("COPY . .\n")
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file.write("RUN pip install flask praisonai==0.0.35 gunicorn markdown\n")
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file.write("RUN pip install flask praisonai==0.0.36 gunicorn markdown\n")
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file.write("EXPOSE 8080\n")
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file.write('CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]\n')
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Generated
+312
-85
@@ -1,5 +1,26 @@
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# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
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[[package]]
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name = "agentops"
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version = "0.2.3"
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description = "Python SDK for developing AI agent evals and observability"
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optional = true
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python-versions = ">=3.7"
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files = [
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{file = "agentops-0.2.3-py3-none-any.whl", hash = "sha256:a1829a21301223c26464cbc9da5bfba2f3750e21238912ee1d2f3097c358859a"},
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{file = "agentops-0.2.3.tar.gz", hash = "sha256:b502b83bb4954386a28c4304028ba8cd2b45303f7e1f84720477b521267a3b4e"},
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]
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[package.dependencies]
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packaging = "23.2"
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psutil = "5.9.8"
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requests = "2.31.0"
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termcolor = "2.4.0"
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[package.extras]
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dev = ["pytest (==7.4.0)", "requests-mock (==1.11.0)"]
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langchain = ["langchain (>=1.19,<2.0)"]
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[[package]]
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name = "aiofiles"
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version = "23.2.1"
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@@ -123,13 +144,13 @@ frozenlist = ">=1.1.0"
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[[package]]
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name = "alembic"
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version = "1.13.1"
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version = "1.13.2"
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description = "A database migration tool for SQLAlchemy."
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optional = false
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python-versions = ">=3.8"
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files = [
|
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{file = "alembic-1.13.1-py3-none-any.whl", hash = "sha256:2edcc97bed0bd3272611ce3a98d98279e9c209e7186e43e75bbb1b2bdfdbcc43"},
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{file = "alembic-1.13.1.tar.gz", hash = "sha256:4932c8558bf68f2ee92b9bbcb8218671c627064d5b08939437af6d77dc05e595"},
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{file = "alembic-1.13.2-py3-none-any.whl", hash = "sha256:6b8733129a6224a9a711e17c99b08462dbf7cc9670ba8f2e2ae9af860ceb1953"},
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{file = "alembic-1.13.2.tar.gz", hash = "sha256:1ff0ae32975f4fd96028c39ed9bb3c867fe3af956bd7bb37343b54c9fe7445ef"},
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]
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[package.dependencies]
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@@ -365,17 +386,17 @@ files = [
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[[package]]
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name = "boto3"
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version = "1.34.131"
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version = "1.34.134"
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description = "The AWS SDK for Python"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "boto3-1.34.131-py3-none-any.whl", hash = "sha256:05e388cb937e82be70bfd7eb0c84cf8011ff35cf582a593873ac21675268683b"},
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{file = "boto3-1.34.131.tar.gz", hash = "sha256:dab8f72a6c4e62b4fd70da09e08a6b2a65ea2115b27dd63737142005776ef216"},
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{file = "boto3-1.34.134-py3-none-any.whl", hash = "sha256:342782c02ff077aae118c9c61179eed95c585831fba666baacc5588ff04aa6e1"},
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{file = "boto3-1.34.134.tar.gz", hash = "sha256:f6d6e5b0c9ab022a75373fa16c01f0cd54bc1bb64ef3b6ac64ac7cedd56cbe9c"},
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]
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[package.dependencies]
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botocore = ">=1.34.131,<1.35.0"
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botocore = ">=1.34.134,<1.35.0"
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jmespath = ">=0.7.1,<2.0.0"
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s3transfer = ">=0.10.0,<0.11.0"
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@@ -384,13 +405,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
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[[package]]
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name = "botocore"
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||||
version = "1.34.131"
|
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version = "1.34.134"
|
||||
description = "Low-level, data-driven core of boto 3."
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optional = false
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||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "botocore-1.34.131-py3-none-any.whl", hash = "sha256:13b011d7b206ce00727dcee26548fa3b550db9046d5a0e90ac25a6e6c8fde6ef"},
|
||||
{file = "botocore-1.34.131.tar.gz", hash = "sha256:502ddafe1d627fcf1e4c007c86454e5dd011dba7c58bd8e8a5368a79f3e387dc"},
|
||||
{file = "botocore-1.34.134-py3-none-any.whl", hash = "sha256:45219e00639755f92569b29f8f279d5dde721494791412c1f7026a3779e8d9f4"},
|
||||
{file = "botocore-1.34.134.tar.gz", hash = "sha256:e29c299599426ed16dd2d4c1e20eef784f96b15e1850ebbc59a3250959285b95"},
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]
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[package.dependencies]
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@@ -656,13 +677,13 @@ files = [
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[[package]]
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name = "chainlit"
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version = "1.1.304"
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version = "1.1.305"
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description = "Build Conversational AI."
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optional = true
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python-versions = "<4.0.0,>=3.8.1"
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files = [
|
||||
{file = "chainlit-1.1.304-py3-none-any.whl", hash = "sha256:f8f304bbb9e435b964d1d236cc31b26be0845d1abb7a0be81ef02e8ba1362040"},
|
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{file = "chainlit-1.1.304.tar.gz", hash = "sha256:7b2add4696bb5e2478b36f8d602a220db9c9f7bce313a415d814f8bc323e1f15"},
|
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{file = "chainlit-1.1.305-py3-none-any.whl", hash = "sha256:9603a1ed873fde84a64fca85e6bf65c7ce138d517ff623c92e92ab2037a38485"},
|
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{file = "chainlit-1.1.305.tar.gz", hash = "sha256:cdbe637dc631a05b043124d4c814139ef7c4697858c13e142e527db4a03129be"},
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]
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[package.dependencies]
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@@ -674,7 +695,7 @@ fastapi = ">=0.110.1,<0.111.0"
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||||
filetype = ">=1.2.0,<2.0.0"
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httpx = ">=0.23.0"
|
||||
lazify = ">=0.4.0,<0.5.0"
|
||||
literalai = "0.0.604"
|
||||
literalai = "0.0.607"
|
||||
nest-asyncio = ">=1.5.6,<2.0.0"
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numpy = {version = ">=1.26,<2.0", markers = "python_version >= \"3.9\""}
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packaging = ">=23.1,<24.0"
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@@ -1666,13 +1687,13 @@ files = [
|
||||
|
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[[package]]
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name = "fsspec"
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||||
version = "2024.6.0"
|
||||
version = "2024.6.1"
|
||||
description = "File-system specification"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "fsspec-2024.6.0-py3-none-any.whl", hash = "sha256:58d7122eb8a1a46f7f13453187bfea4972d66bf01618d37366521b1998034cee"},
|
||||
{file = "fsspec-2024.6.0.tar.gz", hash = "sha256:f579960a56e6d8038a9efc8f9c77279ec12e6299aa86b0769a7e9c46b94527c2"},
|
||||
{file = "fsspec-2024.6.1-py3-none-any.whl", hash = "sha256:3cb443f8bcd2efb31295a5b9fdb02aee81d8452c80d28f97a6d0959e6cee101e"},
|
||||
{file = "fsspec-2024.6.1.tar.gz", hash = "sha256:fad7d7e209dd4c1208e3bbfda706620e0da5142bebbd9c384afb95b07e798e49"},
|
||||
]
|
||||
|
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[package.extras]
|
||||
@@ -1737,13 +1758,13 @@ test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit",
|
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|
||||
[[package]]
|
||||
name = "google-api-core"
|
||||
version = "2.19.0"
|
||||
version = "2.19.1"
|
||||
description = "Google API client core library"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "google-api-core-2.19.0.tar.gz", hash = "sha256:cf1b7c2694047886d2af1128a03ae99e391108a08804f87cfd35970e49c9cd10"},
|
||||
{file = "google_api_core-2.19.0-py3-none-any.whl", hash = "sha256:8661eec4078c35428fd3f69a2c7ee29e342896b70f01d1a1cbcb334372dd6251"},
|
||||
{file = "google-api-core-2.19.1.tar.gz", hash = "sha256:f4695f1e3650b316a795108a76a1c416e6afb036199d1c1f1f110916df479ffd"},
|
||||
{file = "google_api_core-2.19.1-py3-none-any.whl", hash = "sha256:f12a9b8309b5e21d92483bbd47ce2c445861ec7d269ef6784ecc0ea8c1fa6125"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -1758,7 +1779,7 @@ grpcio-status = [
|
||||
{version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
|
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]
|
||||
proto-plus = ">=1.22.3,<2.0.0dev"
|
||||
protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0.dev0"
|
||||
protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0"
|
||||
requests = ">=2.18.0,<3.0.0.dev0"
|
||||
|
||||
[package.extras]
|
||||
@@ -1791,13 +1812,13 @@ requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
|
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|
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[[package]]
|
||||
name = "google-cloud-aiplatform"
|
||||
version = "1.56.0"
|
||||
version = "1.57.0"
|
||||
description = "Vertex AI API client library"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "google-cloud-aiplatform-1.56.0.tar.gz", hash = "sha256:d4cfb085427dac01142915f523949ac2955d6c7f148d95017d3286a77caf5d5e"},
|
||||
{file = "google_cloud_aiplatform-1.56.0-py2.py3-none-any.whl", hash = "sha256:ee1ab3bd115c3caebf8ddfd3e47eeb8396a3ec2fc5f5baf1a5c295c8d64333ab"},
|
||||
{file = "google-cloud-aiplatform-1.57.0.tar.gz", hash = "sha256:113905f100cb0a9ad744a2445a7675f92f28600233ba499614aa704d11a809b7"},
|
||||
{file = "google_cloud_aiplatform-1.57.0-py2.py3-none-any.whl", hash = "sha256:ca5391a56e0cc8f4ed39a2beb7be02f51936ff04fd5304775a72a86c345d0e47"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -1832,7 +1853,8 @@ ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict"
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ray-testing = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pytest-xdist", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "ray[train] (==2.9.3)", "scikit-learn", "setuptools (<70.0.0)", "tensorflow", "torch (>=2.0.0,<2.1.0)", "xgboost", "xgboost-ray"]
|
||||
reasoningengine = ["cloudpickle (>=3.0,<4.0)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "pydantic (>=2.6.3,<3)"]
|
||||
tensorboard = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"]
|
||||
testing = ["bigframes", "cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.109.1)", "google-api-core (>=2.11,<3.0.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "ipython", "kfp (>=2.6.0,<3.0.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "nest-asyncio (>=1.0.0,<1.6.0)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyfakefs", "pytest-asyncio", "pytest-xdist", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (==2.13.0)", "tensorflow (==2.16.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "torch (>=2.2.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost"]
|
||||
testing = ["bigframes", "cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.109.1)", "google-api-core (>=2.11,<3.0.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "ipython", "kfp (>=2.6.0,<3.0.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "nest-asyncio (>=1.0.0,<1.6.0)", "nltk", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyfakefs", "pytest-asyncio", "pytest-xdist", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "sentencepiece (>=0.2.0)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (==2.13.0)", "tensorflow (==2.16.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "torch (>=2.2.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost"]
|
||||
tokenization = ["sentencepiece (>=0.2.0)"]
|
||||
vizier = ["google-vizier (>=0.1.6)"]
|
||||
xai = ["tensorflow (>=2.3.0,<3.0.0dev)"]
|
||||
|
||||
@@ -2025,18 +2047,18 @@ requests = ["requests (>=2.18.0,<3.0.0dev)"]
|
||||
|
||||
[[package]]
|
||||
name = "googleapis-common-protos"
|
||||
version = "1.63.1"
|
||||
version = "1.63.2"
|
||||
description = "Common protobufs used in Google APIs"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "googleapis-common-protos-1.63.1.tar.gz", hash = "sha256:c6442f7a0a6b2a80369457d79e6672bb7dcbaab88e0848302497e3ec80780a6a"},
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{file = "googleapis-common-protos-1.63.2.tar.gz", hash = "sha256:27c5abdffc4911f28101e635de1533fb4cfd2c37fbaa9174587c799fac90aa87"},
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||||
{file = "googleapis_common_protos-1.63.2-py2.py3-none-any.whl", hash = "sha256:27a2499c7e8aff199665b22741997e485eccc8645aa9176c7c988e6fae507945"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
grpcio = {version = ">=1.44.0,<2.0.0.dev0", optional = true, markers = "extra == \"grpc\""}
|
||||
protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0"
|
||||
protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0"
|
||||
|
||||
[package.extras]
|
||||
grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
|
||||
@@ -2059,13 +2081,13 @@ requests = "*"
|
||||
|
||||
[[package]]
|
||||
name = "gradio"
|
||||
version = "4.36.1"
|
||||
version = "4.37.1"
|
||||
description = "Python library for easily interacting with trained machine learning models"
|
||||
optional = true
|
||||
python-versions = ">=3.8"
|
||||
files = [
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||||
{file = "gradio-4.36.1-py3-none-any.whl", hash = "sha256:31edb504c88c1db06c08daf750dcdaa072087ada59aa4ff83c1a3f4c2075912d"},
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{file = "gradio-4.36.1.tar.gz", hash = "sha256:72b2d21156d3467123bae6f30f463f002ef06e272766274308f5ed3cac37563b"},
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||||
{file = "gradio-4.37.1-py3-none-any.whl", hash = "sha256:d3650121462a521fe70585e46b835c953bf86490451584c48e3b70e77f5c5be3"},
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||||
{file = "gradio-4.37.1.tar.gz", hash = "sha256:7b1f8b59fc0dda80cb33980097b444186685fd97c6890d0de887641fd7873fea"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -2073,7 +2095,7 @@ aiofiles = ">=22.0,<24.0"
|
||||
altair = ">=4.2.0,<6.0"
|
||||
fastapi = "*"
|
||||
ffmpy = "*"
|
||||
gradio-client = "1.0.1"
|
||||
gradio-client = "1.0.2"
|
||||
httpx = ">=0.24.1"
|
||||
huggingface-hub = ">=0.19.3"
|
||||
importlib-resources = ">=1.3,<7.0"
|
||||
@@ -2102,13 +2124,13 @@ oauth = ["authlib", "itsdangerous"]
|
||||
|
||||
[[package]]
|
||||
name = "gradio-client"
|
||||
version = "1.0.1"
|
||||
version = "1.0.2"
|
||||
description = "Python library for easily interacting with trained machine learning models"
|
||||
optional = true
|
||||
python-versions = ">=3.8"
|
||||
files = [
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||||
{file = "gradio_client-1.0.1-py3-none-any.whl", hash = "sha256:fe3f527349ac38cbc5deb6d629a15c06fa3b4a68d1e04dc5ca9fbb1896318629"},
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{file = "gradio_client-1.0.2.tar.gz", hash = "sha256:3c88136ff64eb9747342efdc706f378ce863396750b463f27e5e114e47052b68"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -2192,19 +2214,19 @@ test = ["objgraph", "psutil"]
|
||||
|
||||
[[package]]
|
||||
name = "grpc-google-iam-v1"
|
||||
version = "0.13.0"
|
||||
version = "0.13.1"
|
||||
description = "IAM API client library"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "grpc-google-iam-v1-0.13.0.tar.gz", hash = "sha256:fad318608b9e093258fbf12529180f400d1c44453698a33509cc6ecf005b294e"},
|
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|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
googleapis-common-protos = {version = ">=1.56.0,<2.0.0dev", extras = ["grpc"]}
|
||||
grpcio = ">=1.44.0,<2.0.0dev"
|
||||
protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
|
||||
protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0dev"
|
||||
|
||||
[[package]]
|
||||
name = "grpcio"
|
||||
@@ -3035,18 +3057,21 @@ extended-testing = ["beautifulsoup4 (>=4.12.3,<5.0.0)", "lxml (>=4.9.3,<6.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "langsmith"
|
||||
version = "0.1.81"
|
||||
version = "0.1.82"
|
||||
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.8.1"
|
||||
files = [
|
||||
{file = "langsmith-0.1.81-py3-none-any.whl", hash = "sha256:3251d823225eef23ee541980b9d9e506367eabbb7f985a086b5d09e8f78ba7e9"},
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||||
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|
||||
|
||||
[package.dependencies]
|
||||
orjson = ">=3.9.14,<4.0.0"
|
||||
pydantic = ">=1,<3"
|
||||
pydantic = [
|
||||
{version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
|
||||
{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
|
||||
]
|
||||
requests = ">=2,<3"
|
||||
|
||||
[[package]]
|
||||
@@ -3062,12 +3087,12 @@ files = [
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||||
|
||||
[[package]]
|
||||
name = "literalai"
|
||||
version = "0.0.604"
|
||||
version = "0.0.607"
|
||||
description = "An SDK for observability in Python applications"
|
||||
optional = true
|
||||
python-versions = "*"
|
||||
files = [
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||||
{file = "literalai-0.0.604.tar.gz", hash = "sha256:6f6cce12bb968d9653a9d8adc4d0472be1315d0dccbb2647c972a68f620b3281"},
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||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -3076,6 +3101,164 @@ httpx = ">=0.23.0"
|
||||
packaging = ">=23.0"
|
||||
pydantic = ">=1,<3"
|
||||
|
||||
[[package]]
|
||||
name = "lxml"
|
||||
version = "5.2.2"
|
||||
description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
|
||||
optional = false
|
||||
python-versions = ">=3.6"
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||||
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html-clean = ["lxml-html-clean"]
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html5 = ["html5lib"]
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htmlsoup = ["BeautifulSoup4"]
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||||
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||||
[[package]]
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||||
name = "mako"
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@@ -3653,13 +3836,13 @@ sympy = "*"
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[[package]]
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name = "openai"
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[package.dependencies]
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@@ -4271,6 +4454,34 @@ files = [
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optional = true
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python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
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[[package]]
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@@ -4791,13 +5002,13 @@ files = [
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|
||||
{file = "ruff-0.5.0-py3-none-win_amd64.whl", hash = "sha256:e9118f60091047444c1b90952736ee7b1792910cab56e9b9a9ac20af94cd0440"},
|
||||
{file = "ruff-0.5.0-py3-none-win_arm64.whl", hash = "sha256:ed5c4df5c1fb4518abcb57725b576659542bdbe93366f4f329e8f398c4b71178"},
|
||||
{file = "ruff-0.5.0.tar.gz", hash = "sha256:eb641b5873492cf9bd45bc9c5ae5320648218e04386a5f0c264ad6ccce8226a1"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "s3transfer"
|
||||
version = "0.10.1"
|
||||
version = "0.10.2"
|
||||
description = "An Amazon S3 Transfer Manager"
|
||||
optional = false
|
||||
python-versions = ">= 3.8"
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "s3transfer-0.10.1-py3-none-any.whl", hash = "sha256:ceb252b11bcf87080fb7850a224fb6e05c8a776bab8f2b64b7f25b969464839d"},
|
||||
{file = "s3transfer-0.10.1.tar.gz", hash = "sha256:5683916b4c724f799e600f41dd9e10a9ff19871bf87623cc8f491cb4f5fa0a19"},
|
||||
{file = "s3transfer-0.10.2-py3-none-any.whl", hash = "sha256:eca1c20de70a39daee580aef4986996620f365c4e0fda6a86100231d62f1bf69"},
|
||||
{file = "s3transfer-0.10.2.tar.gz", hash = "sha256:0711534e9356d3cc692fdde846b4a1e4b0cb6519971860796e6bc4c7aea00ef6"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -5463,13 +5675,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "setuptools"
|
||||
version = "70.1.0"
|
||||
version = "70.1.1"
|
||||
description = "Easily download, build, install, upgrade, and uninstall Python packages"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "setuptools-70.1.0-py3-none-any.whl", hash = "sha256:d9b8b771455a97c8a9f3ab3448ebe0b29b5e105f1228bba41028be116985a267"},
|
||||
{file = "setuptools-70.1.0.tar.gz", hash = "sha256:01a1e793faa5bd89abc851fa15d0a0db26f160890c7102cd8dce643e886b47f5"},
|
||||
{file = "setuptools-70.1.1-py3-none-any.whl", hash = "sha256:a58a8fde0541dab0419750bcc521fbdf8585f6e5cb41909df3a472ef7b81ca95"},
|
||||
{file = "setuptools-70.1.1.tar.gz", hash = "sha256:937a48c7cdb7a21eb53cd7f9b59e525503aa8abaf3584c730dc5f7a5bec3a650"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
@@ -5746,13 +5958,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "tenacity"
|
||||
version = "8.4.1"
|
||||
version = "8.4.2"
|
||||
description = "Retry code until it succeeds"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "tenacity-8.4.1-py3-none-any.whl", hash = "sha256:28522e692eda3e1b8f5e99c51464efcc0b9fc86933da92415168bc1c4e2308fa"},
|
||||
{file = "tenacity-8.4.1.tar.gz", hash = "sha256:54b1412b878ddf7e1f1577cd49527bad8cdef32421bd599beac0c6c3f10582fd"},
|
||||
{file = "tenacity-8.4.2-py3-none-any.whl", hash = "sha256:9e6f7cf7da729125c7437222f8a522279751cdfbe6b67bfe64f75d3a348661b2"},
|
||||
{file = "tenacity-8.4.2.tar.gz", hash = "sha256:cd80a53a79336edba8489e767f729e4f391c896956b57140b5d7511a64bbd3ef"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
@@ -6099,6 +6311,20 @@ files = [
|
||||
{file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "unittest-xml-reporting"
|
||||
version = "3.2.0"
|
||||
description = "unittest-based test runner with Ant/JUnit like XML reporting."
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "unittest-xml-reporting-3.2.0.tar.gz", hash = "sha256:edd8d3170b40c3a81b8cf910f46c6a304ae2847ec01036d02e9c0f9b85762d28"},
|
||||
{file = "unittest_xml_reporting-3.2.0-py2.py3-none-any.whl", hash = "sha256:f3d7402e5b3ac72a5ee3149278339db1a8f932ee405f48bcb9c681372f2717d5"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
lxml = "*"
|
||||
|
||||
[[package]]
|
||||
name = "uptrace"
|
||||
version = "1.24.0"
|
||||
@@ -6619,6 +6845,7 @@ doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linke
|
||||
test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
|
||||
|
||||
[extras]
|
||||
agentops = ["agentops"]
|
||||
api = ["flask"]
|
||||
gradio = ["gradio"]
|
||||
ui = ["chainlit"]
|
||||
@@ -6626,4 +6853,4 @@ ui = ["chainlit"]
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.10,<3.13"
|
||||
content-hash = "24655d736d11f65c4b028419695c82fffbf3700a2194a76eaef9dccda43cef59"
|
||||
content-hash = "f276663bccd6d23ae386b945f1ae28925cd0420de5df487a074e8f8ee0d4f9d7"
|
||||
@@ -24,6 +24,14 @@ import importlib
|
||||
import importlib.util
|
||||
from praisonai_tools import BaseTool
|
||||
import os
|
||||
import logging
|
||||
|
||||
agentops = False
|
||||
try:
|
||||
import agentops
|
||||
agentops = True
|
||||
except ImportError:
|
||||
agentops = False
|
||||
|
||||
os.environ["OTEL_SDK_DISABLED"] = "true"
|
||||
|
||||
@@ -38,7 +46,7 @@ def disable_crewai_telemetry():
|
||||
disable_crewai_telemetry()
|
||||
|
||||
class AgentsGenerator:
|
||||
def __init__(self, agent_file, framework, config_list):
|
||||
def __init__(self, agent_file, framework, config_list, log_level=None, agent_callback=None, task_callback=None):
|
||||
"""
|
||||
Initialize the AgentsGenerator object.
|
||||
|
||||
@@ -46,15 +54,31 @@ class AgentsGenerator:
|
||||
agent_file (str): The path to the agent file.
|
||||
framework (str): The framework to be used for the agents.
|
||||
config_list (list): A list of configurations for the agents.
|
||||
log_level (int, optional): The logging level to use. Defaults to logging.INFO.
|
||||
agent_callback (callable, optional): A callback function to be executed after each agent step.
|
||||
task_callback (callable, optional): A callback function to be executed after each tool run.
|
||||
|
||||
Attributes:
|
||||
agent_file (str): The path to the agent file.
|
||||
framework (str): The framework to be used for the agents.
|
||||
config_list (list): A list of configurations for the agents.
|
||||
log_level (int): The logging level to use.
|
||||
agent_callback (callable, optional): A callback function to be executed after each agent step.
|
||||
task_callback (callable, optional): A callback function to be executed after each tool run.
|
||||
"""
|
||||
self.agent_file = agent_file
|
||||
self.framework = framework
|
||||
self.config_list = config_list
|
||||
self.log_level = log_level
|
||||
self.agent_callback = agent_callback
|
||||
self.task_callback = task_callback
|
||||
self.log_level = log_level or logging.getLogger().getEffectiveLevel()
|
||||
if self.log_level == logging.NOTSET:
|
||||
self.log_level = os.environ.get('LOGLEVEL', 'INFO').upper()
|
||||
|
||||
logging.basicConfig(level=self.log_level, format='%(asctime)s - %(levelname)s - %(message)s')
|
||||
self.logger = logging.getLogger(__name__)
|
||||
self.logger.setLevel(self.log_level)
|
||||
|
||||
def is_function_or_decorated(self, obj):
|
||||
"""
|
||||
@@ -183,10 +207,10 @@ class AgentsGenerator:
|
||||
|
||||
if os.path.isfile(tools_py_path):
|
||||
tools_dict.update(self.load_tools_from_module_class(tools_py_path))
|
||||
# print("tools.py exists in the root directory. Loading tools.py and skipping tools folder.")
|
||||
self.logger.debug("tools.py exists in the root directory. Loading tools.py and skipping tools folder.")
|
||||
elif tools_dir_path.is_dir():
|
||||
tools_dict.update(self.load_tools_from_module_class(tools_dir_path))
|
||||
# print("tools folder exists in the root directory")
|
||||
self.logger.debug("tools folder exists in the root directory")
|
||||
|
||||
framework = self.framework or config.get('framework')
|
||||
|
||||
@@ -252,6 +276,11 @@ class AgentsGenerator:
|
||||
# Adding tools to the agent if exists
|
||||
agent_tools = [tools_dict[tool] for tool in details.get('tools', []) if tool in tools_dict]
|
||||
agent = Agent(role=role_filled, goal=goal_filled, backstory=backstory_filled, tools=agent_tools, allow_delegation=False)
|
||||
|
||||
# Set agent callback if provided
|
||||
if self.agent_callback:
|
||||
agent.step_callback = self.agent_callback
|
||||
|
||||
agents[role] = agent
|
||||
|
||||
for task_name, task_details in details.get('tasks', {}).items():
|
||||
@@ -259,13 +288,27 @@ class AgentsGenerator:
|
||||
expected_output_filled = task_details['expected_output'].format(topic=topic)
|
||||
|
||||
task = Task(description=description_filled, expected_output=expected_output_filled, agent=agent)
|
||||
|
||||
# Set tool callback if provided
|
||||
if self.task_callback:
|
||||
task.callback = self.task_callback
|
||||
|
||||
tasks.append(task)
|
||||
if agentops:
|
||||
agentops.init()
|
||||
crew = Crew(
|
||||
agents=list(agents.values()),
|
||||
tasks=tasks,
|
||||
verbose=2
|
||||
)
|
||||
if agentops:
|
||||
agentops.end_session("Success")
|
||||
|
||||
self.logger.debug("Final Crew Configuration:")
|
||||
self.logger.debug(f"Agents: {crew.agents}")
|
||||
self.logger.debug(f"Tasks: {crew.tasks}")
|
||||
|
||||
response = crew.kickoff()
|
||||
result = f"### Task Output ###\n{response}"
|
||||
return result
|
||||
|
||||
@@ -8,6 +8,8 @@ from chainlit.input_widget import Select, TextInput
|
||||
from typing import Optional
|
||||
from dotenv import load_dotenv
|
||||
load_dotenv()
|
||||
from contextlib import redirect_stdout
|
||||
from io import StringIO
|
||||
|
||||
framework = "crewai"
|
||||
config_list = [
|
||||
@@ -178,10 +180,57 @@ async def on_chat_resume(thread: ThreadDict):
|
||||
# async def tool(data: Optional[str] = None, language: Optional[str] = None):
|
||||
# return cl.Message(content=data, language=language)
|
||||
|
||||
@cl.step(type="tool", show_input=False)
|
||||
async def run_agents(agent_file: str, framework: str):
|
||||
"""Runs the agents and returns the result."""
|
||||
agents_generator = AgentsGenerator(agent_file, framework, config_list)
|
||||
current_step = cl.context.current_step
|
||||
print("Current Step:", current_step)
|
||||
|
||||
stdout_buffer = StringIO()
|
||||
with redirect_stdout(stdout_buffer):
|
||||
result = agents_generator.generate_crew_and_kickoff()
|
||||
|
||||
complete_output = stdout_buffer.getvalue()
|
||||
|
||||
async with cl.Step(name="gpt4", type="llm", show_input=True) as step:
|
||||
step.input = ""
|
||||
|
||||
for line in stdout_buffer.getvalue().splitlines():
|
||||
print(line)
|
||||
await step.stream_token(line)
|
||||
|
||||
tool_res = await output(complete_output)
|
||||
|
||||
yield result
|
||||
|
||||
@cl.step(type="tool", show_input=False, language="yaml")
|
||||
async def output(output):
|
||||
return output
|
||||
|
||||
@cl.step(type="tool", show_input=False, language="yaml")
|
||||
def agent(output):
|
||||
return(f"""
|
||||
Agent Step Completed!
|
||||
Output: {output}
|
||||
""")
|
||||
|
||||
@cl.step(type="tool", show_input=False, language="yaml")
|
||||
def task(output):
|
||||
return(f"""
|
||||
Task Completed!
|
||||
Task: {output.description}
|
||||
Output: {output.raw_output}
|
||||
{output}
|
||||
""")
|
||||
|
||||
@cl.on_message
|
||||
async def main(message: cl.Message):
|
||||
"""Run PraisonAI with the provided message as the topic."""
|
||||
message_history = cl.user_session.get("message_history")
|
||||
if message_history is None:
|
||||
message_history = []
|
||||
cl.user_session.set("message_history", message_history)
|
||||
message_history.append({"role": "user", "content": message.content})
|
||||
topic = message.content
|
||||
chat_profile = cl.user_session.get("chat_profile")
|
||||
@@ -189,9 +238,22 @@ async def main(message: cl.Message):
|
||||
if chat_profile == "Auto":
|
||||
agent_file = "agents.yaml"
|
||||
generator = AutoGenerator(topic=topic, agent_file=agent_file, framework=framework, config_list=config_list)
|
||||
await cl.sleep(2)
|
||||
agent_file = generator.generate()
|
||||
agents_generator = AgentsGenerator(agent_file, framework, config_list)
|
||||
result = agents_generator.generate_crew_and_kickoff()
|
||||
agents_generator = AgentsGenerator(
|
||||
agent_file,
|
||||
framework,
|
||||
config_list,
|
||||
# agent_callback=agent,
|
||||
# task_callback=task
|
||||
)
|
||||
# Capture stdout
|
||||
stdout_buffer = StringIO()
|
||||
with redirect_stdout(stdout_buffer):
|
||||
result = agents_generator.generate_crew_and_kickoff()
|
||||
|
||||
complete_output = stdout_buffer.getvalue()
|
||||
tool_res = await output(complete_output)
|
||||
msg = cl.Message(content=result)
|
||||
await msg.send()
|
||||
message_history.append({"role": "assistant", "content": message.content})
|
||||
|
||||
+1
-1
@@ -56,7 +56,7 @@ class CloudDeployer:
|
||||
file.write("FROM python:3.11-slim\n")
|
||||
file.write("WORKDIR /app\n")
|
||||
file.write("COPY . .\n")
|
||||
file.write("RUN pip install flask praisonai==0.0.35 gunicorn markdown\n")
|
||||
file.write("RUN pip install flask praisonai==0.0.36 gunicorn markdown\n")
|
||||
file.write("EXPOSE 8080\n")
|
||||
file.write('CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]\n')
|
||||
|
||||
|
||||
@@ -14,6 +14,8 @@ from pathlib import Path
|
||||
import os
|
||||
import inspect
|
||||
import sys
|
||||
import logging
|
||||
logging.basicConfig(level=os.environ.get('LOGLEVEL', 'INFO'), format='%(asctime)s - %(levelname)s - %(message)s')
|
||||
|
||||
def create_autogen_tool_function(tool_name):
|
||||
def autogen_tool(assistant, user_proxy):
|
||||
@@ -51,10 +53,10 @@ tools_dir_path = Path(root_directory) / 'tools'
|
||||
tools_module = None
|
||||
|
||||
if os.path.isfile(tools_py_path):
|
||||
print(f"{tools_py_path} exists in the root directory. Loading {tools_py_path} and skipping tools folder.")
|
||||
logging.info(f"{tools_py_path} exists in the root directory. Loading {tools_py_path} and skipping tools folder.")
|
||||
tools_module = importlib.import_module("tools")
|
||||
elif tools_dir_path.is_dir():
|
||||
print(f"tools folder exists in the root directory. Loading {tool_name} from tools/{tool_name}.py.")
|
||||
logging.info(f"tools folder exists in the root directory. Loading {tool_name} from tools/{tool_name}.py.")
|
||||
tools_module = importlib.import_module(f"tools.{tool_name}")
|
||||
|
||||
# Create autogen_TOOL_NAME_HERE function for each tool
|
||||
|
||||
+7
-4
@@ -1,6 +1,6 @@
|
||||
[tool.poetry]
|
||||
name = "PraisonAI"
|
||||
version = "0.0.35"
|
||||
version = "0.0.36"
|
||||
description = "PraisonAI application combines AutoGen and CrewAI or similar frameworks into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customization, and efficient human-agent collaboration."
|
||||
authors = ["Mervin Praison"]
|
||||
license = ""
|
||||
@@ -24,10 +24,12 @@ pyparsing = ">=3.0.0"
|
||||
chainlit = {version = "^1.1.301", optional = true}
|
||||
gradio = {version = ">=4.26.0", optional = true}
|
||||
flask = {version = ">=3.0.0", optional = true}
|
||||
agentops = {version = "==0.2.3", optional = true}
|
||||
|
||||
[tool.poetry.dev-dependencies]
|
||||
pytest = "^8.0.0"
|
||||
pre-commit = "^3.7"
|
||||
pytest = "8.2.2"
|
||||
pre-commit = "3.7.1"
|
||||
unittest-xml-reporting = "3.2.0"
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
@@ -39,4 +41,5 @@ praisonai = "praisonai.__main__:main"
|
||||
[tool.poetry.extras]
|
||||
ui = ["chainlit"]
|
||||
gradio = ["gradio"]
|
||||
api = ["flask"]
|
||||
api = ["flask"]
|
||||
agentops = ["agentops"]
|
||||
+4
-1
@@ -1,4 +1,3 @@
|
||||
# tests/test.py
|
||||
import unittest
|
||||
import subprocess
|
||||
from praisonai.cli import PraisonAI
|
||||
@@ -7,6 +6,10 @@ from .basic_example import main
|
||||
from .auto_example import auto
|
||||
from xmlrunner import XMLTestRunner
|
||||
|
||||
# Patch for collections.abc MutableMapping issue
|
||||
import collections.abc
|
||||
collections.MutableMapping = collections.abc.MutableMapping
|
||||
|
||||
class TestPraisonAIFramework(unittest.TestCase):
|
||||
def test_main_with_autogen_framework(self):
|
||||
praison_ai = PraisonAI(agent_file='tests/autogen-agents.yaml')
|
||||
|
||||
Reference in new issue
Block a user