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Merge branch 'main' into feature/procedure_v2

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Brandon Hancock
2024-07-15 09:44:41 -04:00
parent c5002eedd9 b93632a53a
commit e2f4405291
16 changed files with 923 additions and 317 deletions
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9
docs/how-to/LLM-Connections.md
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@@ -127,7 +127,7 @@ llm = HuggingFaceHub(
``` ```
## OpenAI Compatible API Endpoints ## OpenAI Compatible API Endpoints
Switch between APIs and models seamlessly using environment variables, supporting platforms like FastChat, LM Studio, and Mistral AI. Switch between APIs and models seamlessly using environment variables, supporting platforms like FastChat, LM Studio, Groq, and Mistral AI.
### Configuration Examples ### Configuration Examples
#### FastChat #### FastChat
@@ -144,6 +144,13 @@ OPENAI_API_BASE="http://localhost:1234/v1"
OPENAI_API_KEY="lm-studio" OPENAI_API_KEY="lm-studio"
``` ```
#### Groq API
```sh
OPENAI_API_KEY=your-groq-api-key
OPENAI_MODEL_NAME='llama3-8b-8192'
OPENAI_API_BASE=https://api.groq.com/openai/v1
```
#### Mistral API #### Mistral API
```sh ```sh
OPENAI_API_KEY=your-mistral-api-key OPENAI_API_KEY=your-mistral-api-key

526
poetry.lock generated
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@@ -280,6 +280,17 @@ files = [
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] ]
[[package]]
name = "backports-strenum"
version = "1.3.1"
description = "Base class for creating enumerated constants that are also subclasses of str"
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python-versions = ">=3.8.6,<3.11"
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[[package]] [[package]]
name = "bcrypt" name = "bcrypt"
version = "4.1.3" version = "4.1.3"
@@ -343,17 +354,17 @@ lxml = ["lxml"]
[[package]] [[package]]
name = "boto3" name = "boto3"
version = "1.34.140" version = "1.34.144"
description = "The AWS SDK for Python" description = "The AWS SDK for Python"
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@@ -362,13 +373,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
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name = "botocore" name = "botocore"
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version = "10.6.1" version = "10.6.3"
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@@ -1118,13 +1129,13 @@ youtube = ["youtube-transcript-api (>=0.6.1,<0.7.0)", "yt_dlp (>=2023.11.14,<202
[[package]] [[package]]
name = "exceptiongroup" name = "exceptiongroup"
version = "1.2.1" version = "1.2.2"
description = "Backport of PEP 654 (exception groups)" description = "Backport of PEP 654 (exception groups)"
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@@ -1132,13 +1143,13 @@ test = ["pytest (>=6)"]
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version = "0.111.0" version = "0.111.1"
description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
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[package.extras] [package.extras]
@@ -1422,13 +1431,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
[[package]] [[package]]
name = "google-auth" name = "google-auth"
version = "2.31.0" version = "2.32.0"
description = "Google Authentication Library" description = "Google Authentication Library"
optional = false optional = false
python-versions = ">=3.7" python-versions = ">=3.7"
files = [ files = [
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[package.dependencies] [package.dependencies]
@@ -1445,13 +1454,13 @@ requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
[[package]] [[package]]
name = "google-cloud-aiplatform" name = "google-cloud-aiplatform"
version = "1.58.0" version = "1.59.0"
description = "Vertex AI API client library" description = "Vertex AI API client library"
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
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[package.dependencies] [package.dependencies]
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google-cloud-resource-manager = ">=1.3.3,<3.0.0dev" google-cloud-resource-manager = ">=1.3.3,<3.0.0dev"
google-cloud-storage = ">=1.32.0,<3.0.0dev" google-cloud-storage = ">=1.32.0,<3.0.0dev"
packaging = ">=14.3" packaging = ">=14.3"
proto-plus = ">=1.22.0,<2.0.0dev" 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,<5.0.0dev" 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,<5.0.0dev"
pydantic = "<3" pydantic = "<3"
shapely = "<3.0.0dev" shapely = "<3.0.0dev"
@@ -1542,13 +1551,13 @@ grpc = ["grpcio (>=1.38.0,<2.0dev)", "grpcio-status (>=1.38.0,<2.0.dev0)"]
[[package]] [[package]]
name = "google-cloud-resource-manager" name = "google-cloud-resource-manager"
version = "1.12.3" version = "1.12.4"
description = "Google Cloud Resource Manager API client library" description = "Google Cloud Resource Manager API client library"
optional = false optional = false
python-versions = ">=3.7" python-versions = ">=3.7"
files = [ files = [
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[package.dependencies] [package.dependencies]
@@ -1556,7 +1565,7 @@ google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extr
google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0dev" google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0dev"
grpc-google-iam-v1 = ">=0.12.4,<1.0.0dev" grpc-google-iam-v1 = ">=0.12.4,<1.0.0dev"
proto-plus = ">=1.22.3,<2.0.0dev" 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,<5.0.0dev" protobuf = ">=3.20.2,<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,<6.0.0dev"
[[package]] [[package]]
name = "google-cloud-storage" name = "google-cloud-storage"
@@ -1785,16 +1794,17 @@ test = ["objgraph", "psutil"]
[[package]] [[package]]
name = "griffe" name = "griffe"
version = "0.47.0" version = "0.48.0"
description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API." description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API."
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
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[package.dependencies] [package.dependencies]
backports-strenum = {version = ">=1.3", markers = "python_version < \"3.11\""}
colorama = ">=0.4" colorama = ">=0.4"
[[package]] [[package]]
@@ -2282,6 +2292,17 @@ files = [
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[[package]]
name = "json-repair"
version = "0.25.3"
description = "A package to repair broken json strings"
optional = false
python-versions = ">=3.7"
files = [
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]
[[package]] [[package]]
name = "jsonpatch" name = "jsonpatch"
version = "1.33" version = "1.33"
@@ -2379,24 +2400,24 @@ tests = ["aiohttp", "duckdb", "pandas (>=1.4)", "polars (>=0.19)", "pytest", "py
[[package]] [[package]]
name = "langchain" name = "langchain"
version = "0.2.6" version = "0.2.7"
description = "Building applications with LLMs through composability" description = "Building applications with LLMs through composability"
optional = false optional = false
python-versions = "<4.0,>=3.8.1" python-versions = "<4.0,>=3.8.1"
files = [ files = [
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async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""} async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
langchain-core = ">=0.2.10,<0.3.0" langchain-core = ">=0.2.12,<0.3.0"
langchain-text-splitters = ">=0.2.0,<0.3.0" langchain-text-splitters = ">=0.2.0,<0.3.0"
langsmith = ">=0.1.17,<0.2.0" langsmith = ">=0.1.17,<0.2.0"
numpy = [ numpy = [
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{version = ">=1,<2", markers = "python_version < \"3.12\""},
] ]
pydantic = ">=1,<3" pydantic = ">=1,<3"
PyYAML = ">=5.3" PyYAML = ">=5.3"
@@ -2406,39 +2427,45 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
[[package]] [[package]]
name = "langchain-cohere" name = "langchain-cohere"
version = "0.1.8" version = "0.1.9"
description = "An integration package connecting Cohere and LangChain" description = "An integration package connecting Cohere and LangChain"
optional = false optional = false
python-versions = "<4.0,>=3.8.1" python-versions = "<4.0,>=3.8.1"
files = [ files = [
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langchain-core = ">=0.2.0,<0.3" langchain-core = ">=0.2.2,<0.3"
langchain-experimental = ">=0.0.6"
pandas = ">=1.4.3"
tabulate = ">=0.9.0,<0.10.0"
[package.extras]
langchain-community = ["langchain-community (>=0.2.4)"]
[[package]] [[package]]
name = "langchain-community" name = "langchain-community"
version = "0.2.6" version = "0.2.7"
description = "Community contributed LangChain integrations." description = "Community contributed LangChain integrations."
optional = false optional = false
python-versions = "<4.0,>=3.8.1" python-versions = "<4.0,>=3.8.1"
files = [ files = [
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dataclasses-json = ">=0.5.7,<0.7" dataclasses-json = ">=0.5.7,<0.7"
langchain = ">=0.2.6,<0.3.0" langchain = ">=0.2.7,<0.3.0"
langchain-core = ">=0.2.10,<0.3.0" langchain-core = ">=0.2.12,<0.3.0"
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PyYAML = ">=5.3" PyYAML = ">=5.3"
requests = ">=2,<3" requests = ">=2,<3"
@@ -2447,13 +2474,13 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
[[package]] [[package]]
name = "langchain-core" name = "langchain-core"
version = "0.2.11" version = "0.2.18"
description = "Building applications with LLMs through composability" description = "Building applications with LLMs through composability"
optional = false optional = false
python-versions = "<4.0,>=3.8.1" python-versions = "<4.0,>=3.8.1"
files = [ files = [
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[package.dependencies] [package.dependencies]
@@ -2461,25 +2488,40 @@ jsonpatch = ">=1.33,<2.0"
langsmith = ">=0.1.75,<0.2.0" langsmith = ">=0.1.75,<0.2.0"
packaging = ">=23.2,<25" packaging = ">=23.2,<25"
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{version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
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PyYAML = ">=5.3" PyYAML = ">=5.3"
tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0" tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
[[package]]
name = "langchain-experimental"
version = "0.0.62"
description = "Building applications with LLMs through composability"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
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[[package]] [[package]]
@@ -6108,4 +6156,4 @@ tools = ["crewai-tools"]
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = ">=3.10,<=3.13" python-versions = ">=3.10,<=3.13"
content-hash = "91b755743f562d0c830916fc49df0f4fb5798cbd61d313b90165f050dfc3e34f" content-hash = "426c6601f17208f704e279a98b15985f56c9b85088b41542693e1a34408d7782"

1
pyproject.toml
View File

@@ -28,6 +28,7 @@ appdirs = "^1.4.4"
jsonref = "^1.1.0" jsonref = "^1.1.0"
agentops = { version = "^0.1.9", optional = true } agentops = { version = "^0.1.9", optional = true }
embedchain = "^0.1.114" embedchain = "^0.1.114"
json-repair = "^0.25.2"
[tool.poetry.extras] [tool.poetry.extras]
tools = ["crewai-tools"] tools = ["crewai-tools"]

78
src/crewai/agent.py
View File

@@ -1,13 +1,14 @@
import os import os
from inspect import signature
from typing import Any, List, Optional, Tuple from typing import Any, List, Optional, Tuple
from langchain.agents.agent import RunnableAgent from langchain.agents.agent import RunnableAgent
from langchain.agents.tools import BaseTool
from langchain.agents.tools import tool as LangChainTool from langchain.agents.tools import tool as LangChainTool
from langchain.tools.render import render_text_description
from langchain_core.agents import AgentAction from langchain_core.agents import AgentAction
from langchain_core.callbacks import BaseCallbackHandler from langchain_core.callbacks import BaseCallbackHandler
from langchain_openai import ChatOpenAI from langchain_openai import ChatOpenAI
from pydantic import Field, InstanceOf, model_validator from pydantic import Field, InstanceOf, PrivateAttr, model_validator
from crewai.agents import CacheHandler, CrewAgentExecutor, CrewAgentParser from crewai.agents import CacheHandler, CrewAgentExecutor, CrewAgentParser
from crewai.agents.agent_builder.base_agent import BaseAgent from crewai.agents.agent_builder.base_agent import BaseAgent
@@ -54,8 +55,11 @@ class Agent(BaseAgent):
tools: Tools at agents disposal tools: Tools at agents disposal
step_callback: Callback to be executed after each step of the agent execution. step_callback: Callback to be executed after each step of the agent execution.
callbacks: A list of callback functions from the langchain library that are triggered during the agent's execution process callbacks: A list of callback functions from the langchain library that are triggered during the agent's execution process
allow_code_execution: Enable code execution for the agent.
max_retry_limit: Maximum number of retries for an agent to execute a task when an error occurs.
""" """
_times_executed: int = PrivateAttr(default=0)
max_execution_time: Optional[int] = Field( max_execution_time: Optional[int] = Field(
default=None, default=None,
description="Maximum execution time for an agent to execute a task", description="Maximum execution time for an agent to execute a task",
@@ -96,6 +100,10 @@ class Agent(BaseAgent):
allow_code_execution: Optional[bool] = Field( allow_code_execution: Optional[bool] = Field(
default=False, description="Enable code execution for the agent." default=False, description="Enable code execution for the agent."
) )
max_retry_limit: int = Field(
default=2,
description="Maximum number of retries for an agent to execute a task when an error occurs.",
)
def __init__(__pydantic_self__, **data): def __init__(__pydantic_self__, **data):
config = data.pop("config", {}) config = data.pop("config", {})
@@ -167,14 +175,16 @@ class Agent(BaseAgent):
if memory.strip() != "": if memory.strip() != "":
task_prompt += self.i18n.slice("memory").format(memory=memory) task_prompt += self.i18n.slice("memory").format(memory=memory)
tools = tools or self.tools tools = tools or self.tools or []
parsed_tools = self._parse_tools(tools)
parsed_tools = self._parse_tools(tools or []) # type: ignore # Argument 1 to "_parse_tools" of "Agent" has incompatible type "list[Any] | None"; expected "list[Any]"
self.create_agent_executor(tools=tools) self.create_agent_executor(tools=tools)
self.agent_executor.tools = parsed_tools self.agent_executor.tools = parsed_tools
self.agent_executor.task = task self.agent_executor.task = task
self.agent_executor.tools_description = render_text_description(parsed_tools) # TODO: COMPARE WITH ARGS AND WITHOUT ARGS
self.agent_executor.tools_description = self._render_text_description_and_args(
parsed_tools
)
self.agent_executor.tools_names = self.__tools_names(parsed_tools) self.agent_executor.tools_names = self.__tools_names(parsed_tools)
if self.crew and self.crew._train: if self.crew and self.crew._train:
@@ -182,6 +192,7 @@ class Agent(BaseAgent):
else: else:
task_prompt = self._use_trained_data(task_prompt=task_prompt) task_prompt = self._use_trained_data(task_prompt=task_prompt)
try:
result = self.agent_executor.invoke( result = self.agent_executor.invoke(
{ {
"input": task_prompt, "input": task_prompt,
@@ -189,6 +200,12 @@ class Agent(BaseAgent):
"tools": self.agent_executor.tools_description, "tools": self.agent_executor.tools_description,
} }
)["output"] )["output"]
except Exception as e:
self._times_executed += 1
if self._times_executed > self.max_retry_limit:
raise e
self.execute_task(task, context, tools)
if self.max_rpm: if self.max_rpm:
self._rpm_controller.stop_rpm_counter() self._rpm_controller.stop_rpm_counter()
@@ -220,7 +237,7 @@ class Agent(BaseAgent):
Returns: Returns:
An instance of the CrewAgentExecutor class. An instance of the CrewAgentExecutor class.
""" """
tools = tools or self.tools tools = tools or self.tools or []
agent_args = { agent_args = {
"input": lambda x: x["input"], "input": lambda x: x["input"],
@@ -315,6 +332,7 @@ class Agent(BaseAgent):
tools_list = [] tools_list = []
for tool in tools: for tool in tools:
tools_list.append(tool) tools_list.append(tool)
return tools_list return tools_list
def _training_handler(self, task_prompt: str) -> str: def _training_handler(self, task_prompt: str) -> str:
@@ -341,6 +359,52 @@ class Agent(BaseAgent):
) )
return task_prompt return task_prompt
def _render_text_description(self, tools: List[BaseTool]) -> str:
"""Render the tool name and description in plain text.
Output will be in the format of:
.. code-block:: markdown
search: This tool is used for search
calculator: This tool is used for math
"""
description = "\n".join(
[
f"Tool name: {tool.name}\nTool description:\n{tool.description}"
for tool in tools
]
)
return description
def _render_text_description_and_args(self, tools: List[BaseTool]) -> str:
"""Render the tool name, description, and args in plain text.
Output will be in the format of:
.. code-block:: markdown
search: This tool is used for search, args: {"query": {"type": "string"}}
calculator: This tool is used for math, \
args: {"expression": {"type": "string"}}
"""
tool_strings = []
for tool in tools:
args_schema = str(tool.args)
if hasattr(tool, "func") and tool.func:
sig = signature(tool.func)
description = (
f"Tool Name: {tool.name}{sig}\nTool Description: {tool.description}"
)
else:
description = (
f"Tool Name: {tool.name}\nTool Description: {tool.description}"
)
tool_strings.append(f"{description}\nTool Arguments: {args_schema}")
return "\n".join(tool_strings)
@staticmethod @staticmethod
def __tools_names(tools) -> str: def __tools_names(tools) -> str:
return ", ".join([t.name for t in tools]) return ", ".join([t.name for t in tools])

15
src/crewai/agents/agent_builder/utilities/base_agent_tool.py
View File

@@ -24,6 +24,7 @@ class BaseAgentTools(BaseModel, ABC):
is_list = coworker.startswith("[") and coworker.endswith("]") is_list = coworker.startswith("[") and coworker.endswith("]")
if is_list: if is_list:
coworker = coworker[1:-1].split(",")[0] coworker = coworker[1:-1].split(",")[0]
return coworker return coworker
def delegate_work( def delegate_work(
@@ -40,11 +41,13 @@ class BaseAgentTools(BaseModel, ABC):
coworker = self._get_coworker(coworker, **kwargs) coworker = self._get_coworker(coworker, **kwargs)
return self._execute(coworker, question, context) return self._execute(coworker, question, context)
def _execute(self, agent: Union[str, None], task: str, context: Union[str, None]): def _execute(
self, agent_name: Union[str, None], task: str, context: Union[str, None]
):
"""Execute the command.""" """Execute the command."""
try: try:
if agent is None: if agent_name is None:
agent = "" agent_name = ""
# It is important to remove the quotes from the agent name. # It is important to remove the quotes from the agent name.
# The reason we have to do this is because less-powerful LLM's # The reason we have to do this is because less-powerful LLM's
@@ -53,7 +56,7 @@ class BaseAgentTools(BaseModel, ABC):
# {"task": "....", "coworker": ".... # {"task": "....", "coworker": "....
# when it should look like this: # when it should look like this:
# {"task": "....", "coworker": "...."} # {"task": "....", "coworker": "...."}
agent_name = agent.casefold().replace('"', "").replace("\n", "") agent_name = agent_name.casefold().replace('"', "").replace("\n", "")
agent = [ # type: ignore # Incompatible types in assignment (expression has type "list[BaseAgent]", variable has type "str | None") agent = [ # type: ignore # Incompatible types in assignment (expression has type "list[BaseAgent]", variable has type "str | None")
available_agent available_agent
@@ -75,9 +78,9 @@ class BaseAgentTools(BaseModel, ABC):
) )
agent = agent[0] agent = agent[0]
task = Task( # type: ignore # Incompatible types in assignment (expression has type "Task", variable has type "str") task_with_assigned_agent = Task( # type: ignore # Incompatible types in assignment (expression has type "Task", variable has type "str")
description=task, description=task,
agent=agent, agent=agent,
expected_output="Your best answer to your coworker asking you this, accounting for the context shared.", expected_output="Your best answer to your coworker asking you this, accounting for the context shared.",
) )
return agent.execute_task(task, context) # type: ignore # "str" has no attribute "execute_task" return agent.execute_task(task_with_assigned_agent, context)

8
src/crewai/agents/agent_builder/utilities/base_output_converter_base.py → src/crewai/agents/agent_builder/utilities/base_output_converter.py
View File

@@ -1,7 +1,7 @@
from abc import ABC, abstractmethod from abc import ABC, abstractmethod
from typing import Any, Optional from typing import Any, Optional
from pydantic import BaseModel, Field, PrivateAttr from pydantic import BaseModel, Field
class OutputConverter(BaseModel, ABC): class OutputConverter(BaseModel, ABC):
@@ -21,7 +21,6 @@ class OutputConverter(BaseModel, ABC):
max_attempts (int): Maximum number of conversion attempts (default: 3). max_attempts (int): Maximum number of conversion attempts (default: 3).
""" """
_is_gpt: bool = PrivateAttr(default=True)
text: str = Field(description="Text to be converted.") text: str = Field(description="Text to be converted.")
llm: Any = Field(description="The language model to be used to convert the text.") llm: Any = Field(description="The language model to be used to convert the text.")
model: Any = Field(description="The model to be used to convert the text.") model: Any = Field(description="The model to be used to convert the text.")
@@ -41,7 +40,8 @@ class OutputConverter(BaseModel, ABC):
"""Convert text to json.""" """Convert text to json."""
pass pass
@abstractmethod # type: ignore # Name "_is_gpt" already defined on line 25 @property
def _is_gpt(self, llm): # type: ignore # Name "_is_gpt" already defined on line 25 @abstractmethod
def is_gpt(self) -> bool:
"""Return if llm provided is of gpt from openai.""" """Return if llm provided is of gpt from openai."""
pass pass

14
src/crewai/agents/executor.py
View File

@@ -1,14 +1,6 @@
import threading import threading
import time import time
from typing import ( from typing import Any, Dict, Iterator, List, Optional, Tuple, Union
Any,
Dict,
Iterator,
List,
Optional,
Tuple,
Union,
)
from langchain.agents import AgentExecutor from langchain.agents import AgentExecutor
from langchain.agents.agent import ExceptionTool from langchain.agents.agent import ExceptionTool
@@ -19,9 +11,7 @@ from langchain_core.tools import BaseTool
from langchain_core.utils.input import get_color_mapping from langchain_core.utils.input import get_color_mapping
from pydantic import InstanceOf from pydantic import InstanceOf
from crewai.agents.agent_builder.base_agent_executor_mixin import ( from crewai.agents.agent_builder.base_agent_executor_mixin import CrewAgentExecutorMixin
CrewAgentExecutorMixin,
)
from crewai.agents.tools_handler import ToolsHandler from crewai.agents.tools_handler import ToolsHandler
from crewai.tools.tool_usage import ToolUsage, ToolUsageErrorException from crewai.tools.tool_usage import ToolUsage, ToolUsageErrorException
from crewai.utilities import I18N from crewai.utilities import I18N

42
src/crewai/agents/parser.py
View File

@@ -1,6 +1,7 @@
import re import re
from typing import Any, Union from typing import Any, Union
from json_repair import repair_json
from langchain.agents.output_parsers import ReActSingleInputOutputParser from langchain.agents.output_parsers import ReActSingleInputOutputParser
from langchain_core.agents import AgentAction, AgentFinish from langchain_core.agents import AgentAction, AgentFinish
from langchain_core.exceptions import OutputParserException from langchain_core.exceptions import OutputParserException
@@ -48,11 +49,15 @@ class CrewAgentParser(ReActSingleInputOutputParser):
raise OutputParserException( raise OutputParserException(
f"{FINAL_ANSWER_AND_PARSABLE_ACTION_ERROR_MESSAGE}: {text}" f"{FINAL_ANSWER_AND_PARSABLE_ACTION_ERROR_MESSAGE}: {text}"
) )
action = action_match.group(1).strip() action = action_match.group(1)
action_input = action_match.group(2) clean_action = self._clean_action(action)
tool_input = action_input.strip(" ")
tool_input = tool_input.strip('"') action_input = action_match.group(2).strip()
return AgentAction(action, tool_input, text)
tool_input = action_input.strip(" ").strip('"')
safe_tool_input = self._safe_repair_json(tool_input)
return AgentAction(clean_action, safe_tool_input, text)
elif includes_answer: elif includes_answer:
return AgentFinish( return AgentFinish(
@@ -87,3 +92,30 @@ class CrewAgentParser(ReActSingleInputOutputParser):
llm_output=text, llm_output=text,
send_to_llm=True, send_to_llm=True,
) )
def _clean_action(self, text: str) -> str:
"""Clean action string by removing non-essential formatting characters."""
return re.sub(r"^\s*\*+\s*|\s*\*+\s*$", "", text).strip()
def _safe_repair_json(self, tool_input: str) -> str:
UNABLE_TO_REPAIR_JSON_RESULTS = ['""', "{}"]
# Skip repair if the input starts and ends with square brackets
# Explanation: The JSON parser has issues handling inputs that are enclosed in square brackets ('[]').
# These are typically valid JSON arrays or strings that do not require repair. Attempting to repair such inputs
# might lead to unintended alterations, such as wrapping the entire input in additional layers or modifying
# the structure in a way that changes its meaning. By skipping the repair for inputs that start and end with
# square brackets, we preserve the integrity of these valid JSON structures and avoid unnecessary modifications.
if tool_input.startswith("[") and tool_input.endswith("]"):
return tool_input
# Before repair, handle common LLM issues:
# 1. Replace """ with " to avoid JSON parser errors
tool_input = tool_input.replace('"""', '"')
result = repair_json(tool_input)
if result in UNABLE_TO_REPAIR_JSON_RESULTS:
return tool_input
return str(result)

26
src/crewai/crew.py
View File

@@ -173,7 +173,6 @@ class Crew(BaseModel):
self._rpm_controller = RPMController(max_rpm=self.max_rpm, logger=self._logger) self._rpm_controller = RPMController(max_rpm=self.max_rpm, logger=self._logger)
self._telemetry = Telemetry() self._telemetry = Telemetry()
self._telemetry.set_tracer() self._telemetry.set_tracer()
self._telemetry.crew_creation(self)
return self return self
@model_validator(mode="after") @model_validator(mode="after")
@@ -506,7 +505,30 @@ class Crew(BaseModel):
agent for agent in self.agents if agent != task.agent agent for agent in self.agents if agent != task.agent
] ]
if len(self.agents) > 1 and len(agents_for_delegation) > 0: if len(self.agents) > 1 and len(agents_for_delegation) > 0:
task.tools += task.agent.get_delegation_tools(agents_for_delegation) delegation_tools = task.agent.get_delegation_tools(
agents_for_delegation
)
# Add tools if they are not already in task.tools
for new_tool in delegation_tools:
# Find the index of the tool with the same name
existing_tool_index = next(
(
index
for index, tool in enumerate(task.tools or [])
if tool.name == new_tool.name
),
None,
)
if not task.tools:
task.tools = []
if existing_tool_index is not None:
# Replace the existing tool
task.tools[existing_tool_index] = new_tool
else:
# Add the new tool
task.tools.append(new_tool)
role = task.agent.role if task.agent is not None else "None" role = task.agent.role if task.agent is not None else "None"
self._logger.log("debug", f"== Working Agent: {role}", color="bold_purple") self._logger.log("debug", f"== Working Agent: {role}", color="bold_purple")

25
src/crewai/telemetry/telemetry.py
View File

@@ -80,7 +80,7 @@ class Telemetry:
self.ready = False self.ready = False
self.trace_set = False self.trace_set = False
def crew_creation(self, crew): def crew_creation(self, crew: Crew, inputs: dict[str, Any] | None):
"""Records the creation of a crew.""" """Records the creation of a crew."""
if self.ready: if self.ready:
try: try:
@@ -93,6 +93,12 @@ class Telemetry:
) )
self._add_attribute(span, "python_version", platform.python_version()) self._add_attribute(span, "python_version", platform.python_version())
self._add_attribute(span, "crew_id", str(crew.id)) self._add_attribute(span, "crew_id", str(crew.id))
if crew.share_crew:
self._add_attribute(
span, "crew_inputs", json.dumps(inputs) if inputs else None
)
self._add_attribute(span, "crew_process", crew.process) self._add_attribute(span, "crew_process", crew.process)
self._add_attribute(span, "crew_memory", crew.memory) self._add_attribute(span, "crew_memory", crew.memory)
self._add_attribute(span, "crew_number_of_tasks", len(crew.tasks)) self._add_attribute(span, "crew_number_of_tasks", len(crew.tasks))
@@ -114,7 +120,7 @@ class Telemetry:
"llm": json.dumps(self._safe_llm_attributes(agent.llm)), "llm": json.dumps(self._safe_llm_attributes(agent.llm)),
"delegation_enabled?": agent.allow_delegation, "delegation_enabled?": agent.allow_delegation,
"tools_names": [ "tools_names": [
tool.name.casefold() for tool in agent.tools tool.name.casefold() for tool in agent.tools or []
], ],
} }
for agent in crew.agents for agent in crew.agents
@@ -139,7 +145,7 @@ class Telemetry:
else None else None
), ),
"tools_names": [ "tools_names": [
tool.name.casefold() for tool in task.tools tool.name.casefold() for tool in task.tools or []
], ],
} }
for task in crew.tasks for task in crew.tasks
@@ -161,10 +167,11 @@ class Telemetry:
if self.ready: if self.ready:
try: try:
tracer = trace.get_tracer("crewai.telemetry") tracer = trace.get_tracer("crewai.telemetry")
span = tracer.start_span("Task Execution")
created_span = tracer.start_span("Task Created") created_span = tracer.start_span("Task Created")
self._add_attribute(created_span, "crew_id", str(crew.id))
self._add_attribute(created_span, "task_index", crew.tasks.index(task))
self._add_attribute(created_span, "task_id", str(task.id)) self._add_attribute(created_span, "task_id", str(task.id))
if crew.share_crew: if crew.share_crew:
@@ -178,6 +185,10 @@ class Telemetry:
created_span.set_status(Status(StatusCode.OK)) created_span.set_status(Status(StatusCode.OK))
created_span.end() created_span.end()
span = tracer.start_span("Task Execution")
self._add_attribute(span, "crew_id", str(crew.id))
self._add_attribute(span, "task_index", crew.tasks.index(task))
self._add_attribute(span, "task_id", str(task.id)) self._add_attribute(span, "task_id", str(task.id))
if crew.share_crew: if crew.share_crew:
@@ -275,6 +286,8 @@ class Telemetry:
""" """
if (self.ready) and (crew.share_crew): if (self.ready) and (crew.share_crew):
try: try:
self.crew_creation(crew, inputs)
tracer = trace.get_tracer("crewai.telemetry") tracer = trace.get_tracer("crewai.telemetry")
span = tracer.start_span("Crew Execution") span = tracer.start_span("Crew Execution")
self._add_attribute( self._add_attribute(
@@ -283,7 +296,9 @@ class Telemetry:
pkg_resources.get_distribution("crewai").version, pkg_resources.get_distribution("crewai").version,
) )
self._add_attribute(span, "crew_id", str(crew.id)) self._add_attribute(span, "crew_id", str(crew.id))
self._add_attribute(span, "inputs", json.dumps(inputs)) self._add_attribute(
span, "crew_inputs", json.dumps(inputs) if inputs else None
)
self._add_attribute( self._add_attribute(
span, span,
"crew_agents", "crew_agents",

2
src/crewai/tools/agent_tools.py
View File

@@ -7,7 +7,7 @@ class AgentTools(BaseAgentTools):
"""Default tools around agent delegation""" """Default tools around agent delegation"""
def tools(self): def tools(self):
coworkers = f"[{', '.join([f'{agent.role}' for agent in self.agents])}]" coworkers = ", ".join([f"{agent.role}" for agent in self.agents])
tools = [ tools = [
StructuredTool.from_function( StructuredTool.from_function(
func=self.delegate_work, func=self.delegate_work,

21
src/crewai/utilities/converter.py
View File

@@ -2,10 +2,8 @@ import json
from langchain.schema import HumanMessage, SystemMessage from langchain.schema import HumanMessage, SystemMessage
from langchain_openai import ChatOpenAI from langchain_openai import ChatOpenAI
from pydantic import model_validator
from crewai.agents.agent_builder.utilities.base_output_converter_base import ( from crewai.agents.agent_builder.utilities.base_output_converter import OutputConverter
OutputConverter,
)
class ConverterError(Exception): class ConverterError(Exception):
@@ -19,15 +17,10 @@ class ConverterError(Exception):
class Converter(OutputConverter): class Converter(OutputConverter):
"""Class that converts text into either pydantic or json.""" """Class that converts text into either pydantic or json."""
@model_validator(mode="after")
def check_llm_provider(self):
if not self._is_gpt(self.llm):
self._is_gpt = False
def to_pydantic(self, current_attempt=1): def to_pydantic(self, current_attempt=1):
"""Convert text to pydantic.""" """Convert text to pydantic."""
try: try:
if self._is_gpt: if self.is_gpt:
return self._create_instructor().to_pydantic() return self._create_instructor().to_pydantic()
else: else:
return self._create_chain().invoke({}) return self._create_chain().invoke({})
@@ -41,7 +34,7 @@ class Converter(OutputConverter):
def to_json(self, current_attempt=1): def to_json(self, current_attempt=1):
"""Convert text to json.""" """Convert text to json."""
try: try:
if self._is_gpt: if self.is_gpt:
return self._create_instructor().to_json() return self._create_instructor().to_json()
else: else:
return json.dumps(self._create_chain().invoke({}).model_dump()) return json.dumps(self._create_chain().invoke({}).model_dump())
@@ -75,5 +68,7 @@ class Converter(OutputConverter):
) )
return new_prompt | self.llm | parser return new_prompt | self.llm | parser
def _is_gpt(self, llm) -> bool: # type: ignore # BUG? Name "_is_gpt" defined on line 20 hides name from outer scope @property
return isinstance(llm, ChatOpenAI) and llm.openai_api_base is None def is_gpt(self) -> bool:
"""Return if llm provided is of gpt from openai."""
return isinstance(self.llm, ChatOpenAI) and self.llm.openai_api_base is None

51
tests/agent_test.py
View File

@@ -963,3 +963,54 @@ def test_agent_use_trained_data(crew_training_handler):
crew_training_handler.assert_has_calls( crew_training_handler.assert_has_calls(
[mock.call(), mock.call("trained_agents_data.pkl"), mock.call().load()] [mock.call(), mock.call("trained_agents_data.pkl"), mock.call().load()]
) )
def test_agent_max_retry_limit():
agent = Agent(
role="test role",
goal="test goal",
backstory="test backstory",
max_retry_limit=1,
)
task = Task(
agent=agent,
description="Say the word: Hi",
expected_output="The word: Hi",
human_input=True,
)
error_message = "Error happening while sending prompt to model."
with patch.object(
CrewAgentExecutor, "invoke", wraps=agent.agent_executor.invoke
) as invoke_mock:
invoke_mock.side_effect = Exception(error_message)
assert agent._times_executed == 0
assert agent.max_retry_limit == 1
with pytest.raises(Exception) as e:
agent.execute_task(
task=task,
)
assert e.value.args[0] == error_message
assert agent._times_executed == 2
invoke_mock.assert_has_calls(
[
mock.call(
{
"input": "Say the word: Hi\n\nThis is the expect criteria for your final answer: The word: Hi \n you MUST return the actual complete content as the final answer, not a summary.",
"tool_names": "",
"tools": "",
}
),
mock.call(
{
"input": "Say the word: Hi\n\nThis is the expect criteria for your final answer: The word: Hi \n you MUST return the actual complete content as the final answer, not a summary.",
"tool_names": "",
"tools": "",
}
),
]
)

0
tests/agents/__init__.py Normal file
View File

378
tests/agents/test_crew_agent_parser.py Normal file
View File

@@ -0,0 +1,378 @@
import pytest
from crewai.agents.parser import CrewAgentParser
from langchain_core.agents import AgentAction, AgentFinish
from langchain_core.exceptions import OutputParserException
@pytest.fixture
def parser():
p = CrewAgentParser()
p.agent = MockAgent()
return p
def test_valid_action_parsing_special_characters(parser):
text = "Thought: Let's find the temperature\nAction: search\nAction Input: what's the temperature in SF?"
result = parser.parse(text)
assert isinstance(result, AgentAction)
assert result.tool == "search"
assert result.tool_input == "what's the temperature in SF?"
def test_valid_action_parsing_with_json_tool_input(parser):
text = """
Thought: Let's find the information
Action: query
Action Input: ** {"task": "What are some common challenges or barriers that you have observed or experienced when implementing AI-powered solutions in healthcare settings?", "context": "As we've discussed recent advancements in AI applications in healthcare, it's crucial to acknowledge the potential hurdles. Some possible obstacles include...", "coworker": "Senior Researcher"}
"""
result = parser.parse(text)
assert isinstance(result, AgentAction)
expected_tool_input = '{"task": "What are some common challenges or barriers that you have observed or experienced when implementing AI-powered solutions in healthcare settings?", "context": "As we\'ve discussed recent advancements in AI applications in healthcare, it\'s crucial to acknowledge the potential hurdles. Some possible obstacles include...", "coworker": "Senior Researcher"}'
assert result.tool == "query"
assert result.tool_input == expected_tool_input
def test_valid_action_parsing_with_quotes(parser):
text = 'Thought: Let\'s find the temperature\nAction: search\nAction Input: "temperature in SF"'
result = parser.parse(text)
assert isinstance(result, AgentAction)
assert result.tool == "search"
assert result.tool_input == "temperature in SF"
def test_valid_action_parsing_with_curly_braces(parser):
text = "Thought: Let's find the temperature\nAction: search\nAction Input: {temperature in SF}"
result = parser.parse(text)
assert isinstance(result, AgentAction)
assert result.tool == "search"
assert result.tool_input == "{temperature in SF}"
def test_valid_action_parsing_with_angle_brackets(parser):
text = "Thought: Let's find the temperature\nAction: search\nAction Input: <temperature in SF>"
result = parser.parse(text)
assert isinstance(result, AgentAction)
assert result.tool == "search"
assert result.tool_input == "<temperature in SF>"
def test_valid_action_parsing_with_parentheses(parser):
text = "Thought: Let's find the temperature\nAction: search\nAction Input: (temperature in SF)"
result = parser.parse(text)
assert isinstance(result, AgentAction)
assert result.tool == "search"
assert result.tool_input == "(temperature in SF)"
def test_valid_action_parsing_with_mixed_brackets(parser):
text = "Thought: Let's find the temperature\nAction: search\nAction Input: [temperature in {SF}]"
result = parser.parse(text)
assert isinstance(result, AgentAction)
assert result.tool == "search"
assert result.tool_input == "[temperature in {SF}]"
def test_valid_action_parsing_with_nested_quotes(parser):
text = "Thought: Let's find the temperature\nAction: search\nAction Input: \"what's the temperature in 'SF'?\""
result = parser.parse(text)
assert isinstance(result, AgentAction)
assert result.tool == "search"
assert result.tool_input == "what's the temperature in 'SF'?"
def test_valid_action_parsing_with_incomplete_json(parser):
text = 'Thought: Let\'s find the temperature\nAction: search\nAction Input: {"query": "temperature in SF"'
result = parser.parse(text)
assert isinstance(result, AgentAction)
assert result.tool == "search"
assert result.tool_input == '{"query": "temperature in SF"}'
def test_valid_action_parsing_with_special_characters(parser):
text = "Thought: Let's find the temperature\nAction: search\nAction Input: what is the temperature in SF? @$%^&*"
result = parser.parse(text)
assert isinstance(result, AgentAction)
assert result.tool == "search"
assert result.tool_input == "what is the temperature in SF? @$%^&*"
def test_valid_action_parsing_with_combination(parser):
text = 'Thought: Let\'s find the temperature\nAction: search\nAction Input: "[what is the temperature in SF?]"'
result = parser.parse(text)
assert isinstance(result, AgentAction)
assert result.tool == "search"
assert result.tool_input == "[what is the temperature in SF?]"
def test_valid_action_parsing_with_mixed_quotes(parser):
text = "Thought: Let's find the temperature\nAction: search\nAction Input: \"what's the temperature in SF?\""
result = parser.parse(text)
assert isinstance(result, AgentAction)
assert result.tool == "search"
assert result.tool_input == "what's the temperature in SF?"
def test_valid_action_parsing_with_newlines(parser):
text = "Thought: Let's find the temperature\nAction: search\nAction Input: what is\nthe temperature in SF?"
result = parser.parse(text)
assert isinstance(result, AgentAction)
assert result.tool == "search"
assert result.tool_input == "what is\nthe temperature in SF?"
def test_valid_action_parsing_with_escaped_characters(parser):
text = "Thought: Let's find the temperature\nAction: search\nAction Input: what is the temperature in SF? \\n"
result = parser.parse(text)
assert isinstance(result, AgentAction)
assert result.tool == "search"
assert result.tool_input == "what is the temperature in SF? \\n"
def test_valid_action_parsing_with_json_string(parser):
text = 'Thought: Let\'s find the temperature\nAction: search\nAction Input: {"query": "temperature in SF"}'
result = parser.parse(text)
assert isinstance(result, AgentAction)
assert result.tool == "search"
assert result.tool_input == '{"query": "temperature in SF"}'
def test_valid_action_parsing_with_unbalanced_quotes(parser):
text = "Thought: Let's find the temperature\nAction: search\nAction Input: \"what is the temperature in SF?"
result = parser.parse(text)
assert isinstance(result, AgentAction)
assert result.tool == "search"
assert result.tool_input == "what is the temperature in SF?"
def test_clean_action_no_formatting(parser):
action = "Ask question to senior researcher"
cleaned_action = parser._clean_action(action)
assert cleaned_action == "Ask question to senior researcher"
def test_clean_action_with_leading_asterisks(parser):
action = "** Ask question to senior researcher"
cleaned_action = parser._clean_action(action)
assert cleaned_action == "Ask question to senior researcher"
def test_clean_action_with_trailing_asterisks(parser):
action = "Ask question to senior researcher **"
cleaned_action = parser._clean_action(action)
assert cleaned_action == "Ask question to senior researcher"
def test_clean_action_with_leading_and_trailing_asterisks(parser):
action = "** Ask question to senior researcher **"
cleaned_action = parser._clean_action(action)
assert cleaned_action == "Ask question to senior researcher"
def test_clean_action_with_multiple_leading_asterisks(parser):
action = "**** Ask question to senior researcher"
cleaned_action = parser._clean_action(action)
assert cleaned_action == "Ask question to senior researcher"
def test_clean_action_with_multiple_trailing_asterisks(parser):
action = "Ask question to senior researcher ****"
cleaned_action = parser._clean_action(action)
assert cleaned_action == "Ask question to senior researcher"
def test_clean_action_with_spaces_and_asterisks(parser):
action = " ** Ask question to senior researcher ** "
cleaned_action = parser._clean_action(action)
print(f"Original action: '{action}'")
print(f"Cleaned action: '{cleaned_action}'")
assert cleaned_action == "Ask question to senior researcher"
def test_clean_action_with_only_asterisks(parser):
action = "****"
cleaned_action = parser._clean_action(action)
assert cleaned_action == ""
def test_clean_action_with_empty_string(parser):
action = ""
cleaned_action = parser._clean_action(action)
assert cleaned_action == ""
def test_valid_final_answer_parsing(parser):
text = (
"Thought: I found the information\nFinal Answer: The temperature is 100 degrees"
)
result = parser.parse(text)
assert isinstance(result, AgentFinish)
assert result.return_values["output"] == "The temperature is 100 degrees"
def test_missing_action_error(parser):
text = "Thought: Let's find the temperature\nAction Input: what is the temperature in SF?"
with pytest.raises(OutputParserException) as exc_info:
parser.parse(text)
assert "Could not parse LLM output" in str(exc_info.value)
def test_missing_action_input_error(parser):
text = "Thought: Let's find the temperature\nAction: search"
with pytest.raises(OutputParserException) as exc_info:
parser.parse(text)
assert "Could not parse LLM output" in str(exc_info.value)
def test_action_and_final_answer_error(parser):
text = "Thought: I found the information\nAction: search\nAction Input: what is the temperature in SF?\nFinal Answer: The temperature is 100 degrees"
with pytest.raises(OutputParserException) as exc_info:
parser.parse(text)
assert "both perform Action and give a Final Answer" in str(exc_info.value)
def test_safe_repair_json(parser):
invalid_json = '{"task": "Research XAI", "context": "Explainable AI", "coworker": Senior Researcher'
expected_repaired_json = '{"task": "Research XAI", "context": "Explainable AI", "coworker": "Senior Researcher"}'
result = parser._safe_repair_json(invalid_json)
assert result == expected_repaired_json
def test_safe_repair_json_unrepairable(parser):
invalid_json = "{invalid_json"
result = parser._safe_repair_json(invalid_json)
print("result:", invalid_json)
assert result == invalid_json # Should return the original if unrepairable
def test_safe_repair_json_missing_quotes(parser):
invalid_json = (
'{task: "Research XAI", context: "Explainable AI", coworker: Senior Researcher}'
)
expected_repaired_json = '{"task": "Research XAI", "context": "Explainable AI", "coworker": "Senior Researcher"}'
result = parser._safe_repair_json(invalid_json)
assert result == expected_repaired_json
def test_safe_repair_json_unclosed_brackets(parser):
invalid_json = '{"task": "Research XAI", "context": "Explainable AI", "coworker": "Senior Researcher"'
expected_repaired_json = '{"task": "Research XAI", "context": "Explainable AI", "coworker": "Senior Researcher"}'
result = parser._safe_repair_json(invalid_json)
assert result == expected_repaired_json
def test_safe_repair_json_extra_commas(parser):
invalid_json = '{"task": "Research XAI", "context": "Explainable AI", "coworker": "Senior Researcher",}'
expected_repaired_json = '{"task": "Research XAI", "context": "Explainable AI", "coworker": "Senior Researcher"}'
result = parser._safe_repair_json(invalid_json)
assert result == expected_repaired_json
def test_safe_repair_json_trailing_commas(parser):
invalid_json = '{"task": "Research XAI", "context": "Explainable AI", "coworker": "Senior Researcher",}'
expected_repaired_json = '{"task": "Research XAI", "context": "Explainable AI", "coworker": "Senior Researcher"}'
result = parser._safe_repair_json(invalid_json)
assert result == expected_repaired_json
def test_safe_repair_json_single_quotes(parser):
invalid_json = "{'task': 'Research XAI', 'context': 'Explainable AI', 'coworker': 'Senior Researcher'}"
expected_repaired_json = '{"task": "Research XAI", "context": "Explainable AI", "coworker": "Senior Researcher"}'
result = parser._safe_repair_json(invalid_json)
assert result == expected_repaired_json
def test_safe_repair_json_mixed_quotes(parser):
invalid_json = "{'task': \"Research XAI\", 'context': \"Explainable AI\", 'coworker': 'Senior Researcher'}"
expected_repaired_json = '{"task": "Research XAI", "context": "Explainable AI", "coworker": "Senior Researcher"}'
result = parser._safe_repair_json(invalid_json)
assert result == expected_repaired_json
def test_safe_repair_json_unescaped_characters(parser):
invalid_json = '{"task": "Research XAI", "context": "Explainable AI", "coworker": "Senior Researcher\n"}'
expected_repaired_json = '{"task": "Research XAI", "context": "Explainable AI", "coworker": "Senior Researcher"}'
result = parser._safe_repair_json(invalid_json)
print("result:", result)
assert result == expected_repaired_json
def test_safe_repair_json_missing_colon(parser):
invalid_json = '{"task" "Research XAI", "context": "Explainable AI", "coworker": "Senior Researcher"}'
expected_repaired_json = '{"task": "Research XAI", "context": "Explainable AI", "coworker": "Senior Researcher"}'
result = parser._safe_repair_json(invalid_json)
assert result == expected_repaired_json
def test_safe_repair_json_missing_comma(parser):
invalid_json = '{"task": "Research XAI" "context": "Explainable AI", "coworker": "Senior Researcher"}'
expected_repaired_json = '{"task": "Research XAI", "context": "Explainable AI", "coworker": "Senior Researcher"}'
result = parser._safe_repair_json(invalid_json)
assert result == expected_repaired_json
def test_safe_repair_json_unexpected_trailing_characters(parser):
invalid_json = '{"task": "Research XAI", "context": "Explainable AI", "coworker": "Senior Researcher"} random text'
expected_repaired_json = '{"task": "Research XAI", "context": "Explainable AI", "coworker": "Senior Researcher"}'
result = parser._safe_repair_json(invalid_json)
assert result == expected_repaired_json
def test_safe_repair_json_special_characters_key(parser):
invalid_json = '{"task!@#": "Research XAI", "context$%^": "Explainable AI", "coworker&*()": "Senior Researcher"}'
expected_repaired_json = '{"task!@#": "Research XAI", "context$%^": "Explainable AI", "coworker&*()": "Senior Researcher"}'
result = parser._safe_repair_json(invalid_json)
assert result == expected_repaired_json
def test_parsing_with_whitespace(parser):
text = " Thought: Let's find the temperature \n Action: search \n Action Input: what is the temperature in SF? "
result = parser.parse(text)
assert isinstance(result, AgentAction)
assert result.tool == "search"
assert result.tool_input == "what is the temperature in SF?"
def test_parsing_with_special_characters(parser):
text = 'Thought: Let\'s find the temperature\nAction: search\nAction Input: "what is the temperature in SF?"'
result = parser.parse(text)
assert isinstance(result, AgentAction)
assert result.tool == "search"
assert result.tool_input == "what is the temperature in SF?"
def test_integration_valid_and_invalid(parser):
text = """
Thought: Let's find the temperature
Action: search
Action Input: what is the temperature in SF?
Thought: I found the information
Final Answer: The temperature is 100 degrees
Thought: Missing action
Action Input: invalid
Thought: Missing action input
Action: invalid
"""
parts = text.strip().split("\n\n")
results = []
for part in parts:
try:
result = parser.parse(part.strip())
results.append(result)
except OutputParserException as e:
results.append(e)
assert isinstance(results[0], AgentAction)
assert isinstance(results[1], AgentFinish)
assert isinstance(results[2], OutputParserException)
assert isinstance(results[3], OutputParserException)
class MockAgent:
def increment_formatting_errors(self):
pass
# TODO: ADD TEST TO MAKE SURE ** REMOVAL DOESN'T MESS UP ANYTHING

10
tests/crew_test.py
View File

@@ -1238,10 +1238,10 @@ def test_agent_usage_metrics_are_captured_for_hierarchical_process():
print(crew.usage_metrics) print(crew.usage_metrics)
assert crew.usage_metrics == { assert crew.usage_metrics == {
"total_tokens": 311, "total_tokens": 2217,
"prompt_tokens": 224, "prompt_tokens": 1847,
"completion_tokens": 87, "completion_tokens": 370,
"successful_requests": 1, "successful_requests": 4,
} }
@@ -1271,7 +1271,7 @@ def test_hierarchical_crew_creation_tasks_with_agents():
assert crew.manager_agent.tools is not None assert crew.manager_agent.tools is not None
print("TOOL DESCRIPTION", crew.manager_agent.tools[0].description) print("TOOL DESCRIPTION", crew.manager_agent.tools[0].description)
assert crew.manager_agent.tools[0].description.startswith( assert crew.manager_agent.tools[0].description.startswith(
"Delegate a specific task to one of the following coworkers: [Senior Writer, Researcher]" "Delegate a specific task to one of the following coworkers: Senior Writer"
) )