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fixing training

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João Moura
2024-09-26 04:57:19 -03:00
parent 164e7895bf
commit 9c0f97eaf7
5 changed files with 46 additions and 36 deletions
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60
poetry.lock generated
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@@ -390,17 +390,17 @@ lxml = ["lxml"]
[[package]]
name = "boto3"
version = "1.35.26"
version = "1.35.27"
description = "The AWS SDK for Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "boto3-1.35.26-py3-none-any.whl", hash = "sha256:c31db992655db233d98762612690cfe60723c9e1503b5709aad92c1c564877bb"},
{file = "boto3-1.35.26.tar.gz", hash = "sha256:b04087afd3570ba540fd293823c77270ec675672af23da9396bd5988a3f8128b"},
{file = "boto3-1.35.27-py3-none-any.whl", hash = "sha256:3da139ca038032e92086e26d23833b557f0c257520162bfd3d6f580bf8032c86"},
{file = "boto3-1.35.27.tar.gz", hash = "sha256:10d0fe15670b83a3f26572ab20d9152a064cee4c54b5ea9a1eeb1f0c3b807a7b"},
]
[package.dependencies]
botocore = ">=1.35.26,<1.36.0"
botocore = ">=1.35.27,<1.36.0"
jmespath = ">=0.7.1,<2.0.0"
s3transfer = ">=0.10.0,<0.11.0"
@@ -409,13 +409,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
[[package]]
name = "botocore"
version = "1.35.26"
version = "1.35.27"
description = "Low-level, data-driven core of boto 3."
optional = false
python-versions = ">=3.8"
files = [
{file = "botocore-1.35.26-py3-none-any.whl", hash = "sha256:0b9dee5e4a3314e251e103585837506b17fcc7485c3c8adb61a9a913f46da1e7"},
{file = "botocore-1.35.26.tar.gz", hash = "sha256:19efc3a22c9df77960712b4e203f912486f8bcd3794bff0fd7b2a0f5f1d5712d"},
{file = "botocore-1.35.27-py3-none-any.whl", hash = "sha256:c299c70b5330a8634e032883ce8a72c2c6d9fdbc985d8191199cb86b92e7cbbd"},
{file = "botocore-1.35.27.tar.gz", hash = "sha256:f68875c26cd57a9d22c0f7a981ecb1636d7ce4d0e35797e04765b53e7bfed3e7"},
]
[package.dependencies]
@@ -833,13 +833,13 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
[[package]]
name = "cohere"
version = "5.9.4"
version = "5.10.0"
description = ""
optional = false
python-versions = "<4.0,>=3.8"
files = [
{file = "cohere-5.9.4-py3-none-any.whl", hash = "sha256:d1b31d8ba32e338b3aa91737aa98dc74de8778ed8e397ab799739b5f060f44e7"},
{file = "cohere-5.9.4.tar.gz", hash = "sha256:ed0fa256c51423175c208650dffcb534ae112dc3ab7703de352e2adaf99dd50b"},
{file = "cohere-5.10.0-py3-none-any.whl", hash = "sha256:46e50e3e8514a99cf77b4c022c8077a6205fba948051c33087ddeb66ec706f0a"},
{file = "cohere-5.10.0.tar.gz", hash = "sha256:21020a7ae4c30f72991ef91566a926a9d7d1485d7abeed7bfa2bd6f35ea34783"},
]
[package.dependencies]
@@ -2864,13 +2864,13 @@ requests = ">=2,<3"
[[package]]
name = "litellm"
version = "1.48.0"
version = "1.48.2"
description = "Library to easily interface with LLM API providers"
optional = false
python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
files = [
{file = "litellm-1.48.0-py3-none-any.whl", hash = "sha256:7765e8a92069778f5fc66aacfabd0e2f8ec8d74fb117f5e475567d89b0d376b9"},
{file = "litellm-1.48.0.tar.gz", hash = "sha256:31a9b8a25a9daf44c24ddc08bf74298da920f2c5cea44135e5061278d0aa6fc9"},
{file = "litellm-1.48.2-py3-none-any.whl", hash = "sha256:4819f126be8e3cabfa9b1aadd44459442828feb0ca17538189cff48ac32939d9"},
{file = "litellm-1.48.2.tar.gz", hash = "sha256:1c01dd5035936b8a6813e2c26f029fc227f1644eb842ceb8f787deae0bfae57e"},
]
[package.dependencies]
@@ -3049,13 +3049,13 @@ files = [
[[package]]
name = "mem0ai"
version = "0.1.15"
version = "0.1.16"
description = "Long-term memory for AI Agents"
optional = false
python-versions = "<4.0,>=3.9"
files = [
{file = "mem0ai-0.1.15-py3-none-any.whl", hash = "sha256:b553a8a3491565f9e52de535282304218a3773069cb4d41d2da6b4236a7b06bc"},
{file = "mem0ai-0.1.15.tar.gz", hash = "sha256:8f0d6207da36f9ffcb3b1c5ee366f1d0f550daf577d875abc96477309ef233c8"},
{file = "mem0ai-0.1.16-py3-none-any.whl", hash = "sha256:fa302457668a9a8994f0865741517f6d88b844f14dd3e8f6c17a30a3eed343a9"},
{file = "mem0ai-0.1.16.tar.gz", hash = "sha256:2b4f1f94fc78796b483f6440230a9a68c9815068e16b5092c2b9758635511a2c"},
]
[package.dependencies]
@@ -3144,13 +3144,13 @@ pyyaml = ">=5.1"
[[package]]
name = "mkdocs-material"
version = "9.5.36"
version = "9.5.37"
description = "Documentation that simply works"
optional = false
python-versions = ">=3.8"
files = [
{file = "mkdocs_material-9.5.36-py3-none-any.whl", hash = "sha256:36734c1fd9404bea74236242ba3359b267fc930c7233b9fd086b0898825d0ac9"},
{file = "mkdocs_material-9.5.36.tar.gz", hash = "sha256:140456f761320f72b399effc073fa3f8aac744c77b0970797c201cae2f6c967f"},
{file = "mkdocs_material-9.5.37-py3-none-any.whl", hash = "sha256:6e8a986abad77be5edec3dd77cf1ddf2480963fb297a8e971f87a82fd464b070"},
{file = "mkdocs_material-9.5.37.tar.gz", hash = "sha256:2c31607431ec234db124031255b0a9d4f3e1c3ecc2c47ad97ecfff0460471941"},
]
[package.dependencies]
@@ -3745,13 +3745,13 @@ sympy = "*"
[[package]]
name = "openai"
version = "1.47.1"
version = "1.48.0"
description = "The official Python library for the openai API"
optional = false
python-versions = ">=3.7.1"
files = [
{file = "openai-1.47.1-py3-none-any.whl", hash = "sha256:34277583bf268bb2494bc03f48ac123788c5e2a914db1d5a23d5edc29d35c825"},
{file = "openai-1.47.1.tar.gz", hash = "sha256:62c8f5f478f82ffafc93b33040f8bb16a45948306198bd0cba2da2ecd9cf7323"},
{file = "openai-1.48.0-py3-none-any.whl", hash = "sha256:7c4af223f0bf615ce4a12453729952c9a8b04ffe8c78aa77981b12fd970149cf"},
{file = "openai-1.48.0.tar.gz", hash = "sha256:1d3b69ea62c287c4885a6f3ce840768564cd5f52c60ac5f890fef80d43cc4799"},
]
[package.dependencies]
@@ -4869,13 +4869,13 @@ torch = ["torch"]
[[package]]
name = "pymdown-extensions"
version = "10.10.1"
version = "10.10.2"
description = "Extension pack for Python Markdown."
optional = false
python-versions = ">=3.8"
files = [
{file = "pymdown_extensions-10.10.1-py3-none-any.whl", hash = "sha256:6c74ea6c2e2285186a241417480fc2d3cc52941b3ec2dced4014c84dc78c5493"},
{file = "pymdown_extensions-10.10.1.tar.gz", hash = "sha256:ad277ee4739ced051c3b6328d22ce782358a3bec39bc6ca52815ccbf44f7acdc"},
{file = "pymdown_extensions-10.10.2-py3-none-any.whl", hash = "sha256:513a9e9432b197cf0539356c8f1fc376e0d10b70ad150cadeb649a5628aacd45"},
{file = "pymdown_extensions-10.10.2.tar.gz", hash = "sha256:65d82324ef2497931bc858c8320540c6264ab0d9a292707edb61f4fe0cd56633"},
]
[package.dependencies]
@@ -4943,21 +4943,23 @@ dev = ["build", "flake8", "mypy", "pytest", "twine"]
[[package]]
name = "pyright"
version = "1.1.381"
version = "1.1.382.post0"
description = "Command line wrapper for pyright"
optional = false
python-versions = ">=3.7"
files = [
{file = "pyright-1.1.381-py3-none-any.whl", hash = "sha256:5dc0aa80a265675d36abab59c674ae01dbe476714f91845b61b841d34aa99081"},
{file = "pyright-1.1.381.tar.gz", hash = "sha256:314cf0c1351c189524fb10c7ac20688ecd470e8cc505c394d642c9c80bf7c3a5"},
{file = "pyright-1.1.382.post0-py3-none-any.whl", hash = "sha256:a82a20b6a6511d71c6c95de19c0f874f7e50a013f332e3799deaae66a4d237d1"},
{file = "pyright-1.1.382.post0.tar.gz", hash = "sha256:4b84dd4439b0cbc662dff6aaf012cc0860f1c788932ac4c2a4b5d6c1280a5e20"},
]
[package.dependencies]
nodeenv = ">=1.6.0"
typing-extensions = ">=4.1"
[package.extras]
all = ["twine (>=3.4.1)"]
all = ["nodejs-wheel-binaries", "twine (>=3.4.1)"]
dev = ["twine (>=3.4.1)"]
nodejs = ["nodejs-wheel-binaries"]
[[package]]
name = "pysbd"

2
pyproject.toml
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@@ -1,6 +1,6 @@
[tool.poetry]
name = "crewai"
version = "0.63.6"
version = "0.63.7"
description = "Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks."
authors = ["Joao Moura <joao@crewai.com>"]
readme = "README.md"

12
src/crewai/agents/agent_builder/base_agent_executor_mixin.py
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@@ -6,6 +6,7 @@ from crewai.memory.long_term.long_term_memory_item import LongTermMemoryItem
from crewai.utilities.converter import ConverterError
from crewai.utilities.evaluators.task_evaluator import TaskEvaluator
from crewai.utilities import I18N
from crewai.utilities.printer import Printer
if TYPE_CHECKING:
@@ -22,6 +23,7 @@ class CrewAgentExecutorMixin:
have_forced_answer: bool
max_iter: int
_i18n: I18N
_printer: Printer = Printer()
def _should_force_answer(self) -> bool:
"""Determine if a forced answer is required based on iteration count."""
@@ -100,6 +102,12 @@ class CrewAgentExecutorMixin:
def _ask_human_input(self, final_answer: dict) -> str:
"""Prompt human input for final decision making."""
return input(
self._i18n.slice("getting_input").format(final_answer=final_answer)
self._printer.print(
content=f"\033[1m\033[95m ## Final Result:\033[00m \033[92m{final_answer}\033[00m"
)
self._printer.print(
content="\n\n=====\n## Please provide feedback on the Final Result and the Agent's actions:",
color="bold_yellow",
)
return input()

2
src/crewai/translations/en.json
View File

@@ -17,7 +17,7 @@
"task_with_context": "{task}\n\nThis is the context you're working with:\n{context}",
"expected_output": "\nThis is the expect criteria for your final answer: {expected_output}\nyou MUST return the actual complete content as the final answer, not a summary.",
"human_feedback": "You got human feedback on your work, re-evaluate it and give a new Final Answer when ready.\n {human_feedback}",
"getting_input": "This is the agent's final answer: {final_answer}\nPlease provide feedback: ",
"getting_input": "This is the agent's final answer: {final_answer}\n\n",
"summarizer_system_message": "You are a helpful assistant that summarizes text.",
"sumamrize_instruction": "Summarize the following text, make sure to include all the important information: {group}",
"summary": "This is a summary of our conversation so far:\n{merged_summary}"

6
src/crewai/utilities/evaluators/task_evaluator.py
View File

@@ -107,9 +107,9 @@ class TaskEvaluator:
final_aggregated_data = ""
for _, data in output_training_data.items():
final_aggregated_data += (
f"Initial Output:\n{data['initial_output']}\n\n"
f"Human Feedback:\n{data['human_feedback']}\n\n"
f"Improved Output:\n{data['improved_output']}\n\n"
f"Initial Output:\n{data.get('initial_output', '')}\n\n"
f"Human Feedback:\n{data.get('human_feedback', '')}\n\n"
f"Improved Output:\n{data.get('improved_output', '')}\n\n"
)
evaluation_query = (