Merge branch 'main' into feature/add-docs-for-crew-output

Add reference to change log
Add docs for crewoutput and taskoutput
2025-12-17 21:08:29 +00:00 · 2024-07-15 16:15:44 -04:00 · 2024-07-15 16:12:47 -04:00 · 2024-07-15 15:10:57 -04:00
25 changed files with 966 additions and 13351 deletions
--- a/docs/how-to/Conditional-Tasks.md
+++ b/docs/how-to/Conditional-Tasks.md
@@ -1,87 +0,0 @@
---
-title: Conditional Tasks
-description: Learn how to use conditional tasks in a crewAI kickoff
---
-
-## Introduction
-
-Conditional Tasks in crewAI allow for dynamic workflow adaptation based on the outcomes of previous tasks. This powerful feature enables crews to make decisions and execute tasks selectively, enhancing the flexibility and efficiency of your AI-driven processes.
-
-```python
-from typing import List
-
-from pydantic import BaseModel
-from crewai import Agent, Crew
-from crewai.tasks.conditional_task import ConditionalTask
-from crewai.tasks.task_output import TaskOutput
-from crewai.task import Task
-from crewai_tools import SerperDevTool
-
-
-# Define a condition function for the conditional task
-# if false task will be skipped, true, then execute task
-def is_data_missing(output: TaskOutput) -> bool:
-    return len(output.pydantic.events) < 10: # this will skip this task
-
-# Define the agents
-data_fetcher_agent = Agent(
-    role="Data Fetcher",
-    goal="Fetch data online using Serper tool",
-    backstory="Backstory 1",
-    verbose=True,
-    tools=[SerperDevTool()],
-)
-
-data_processor_agent = Agent(
-    role="Data Processor",
-    goal="Process fetched data",
-    backstory="Backstory 2",
-    verbose=True,
-)
-
-summary_generator_agent = Agent(
-    role="Summary Generator",
-    goal="Generate summary from fetched data",
-    backstory="Backstory 3",
-    verbose=True,
-)
-
-
-class EventOutput(BaseModel):
-    events: List[str]
-
-
-task1 = Task(
-    description="Fetch data about events in San Francisco using Serper tool",
-    expected_output="List of 10 things to do in SF this week",
-    agent=data_fetcher_agent,
-    output_pydantic=EventOutput,
-)
-
-conditional_task = ConditionalTask(
-    description="""
-        Check if data is missing. If we have less than 10 events,
-        fetch more events using Serper tool so that
-        we have a total of 10 events in SF this week..
-        """,
-    expected_output="List of 10 Things to do in SF this week ",
-    condition=is_data_missing,
-    agent=data_processor_agent,
-)
-
-task3 = Task(
-    description="Generate summary of events in San Francisco from fetched data",
-    expected_output="summary_generated",
-    agent=summary_generator_agent,
-)
-
-# Create a crew with the tasks
-crew = Crew(
-    agents=[data_fetcher_agent, data_processor_agent, summary_generator_agent],
-    tasks=[task1, conditional_task, task3],
-    verbose=2,
-)
-
-result = crew.kickoff()
-print("results", result)
-```
--- a/docs/index.md
+++ b/docs/index.md
@@ -118,11 +118,6 @@ Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By
                    Replay from a Task
                </a>
            </li>
-            <li>
-                <a href="./how-to/Conditional-Tasks">
-                    Conditional Tasks
-                </a>
-            </li>
            <li>
                <a href="./how-to/AgentOps-Observability">
                    Agent Monitoring with AgentOps
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -146,7 +146,6 @@ nav:
    - Kickoff a Crew Asynchronously: 'how-to/Kickoff-async.md'
    - Kickoff a Crew for a List: 'how-to/Kickoff-for-each.md'
    - Replay from a specific task from a kickoff: 'how-to/Replay-tasks-from-latest-Crew-Kickoff.md'
-    - Conditional Tasks: 'how-to/Conditional-Tasks.md'
    - Agent Monitoring with AgentOps: 'how-to/AgentOps-Observability.md'
    - Agent Monitoring with LangTrace: 'how-to/Langtrace-Observability.md'
  - Tools Docs:
--- a/poetry.lock
+++ b/poetry.lock
@@ -280,17 +280,6 @@ files = [
    {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
 ]

-[[package]]
-name = "backports-strenum"
-version = "1.3.1"
-description = "Base class for creating enumerated constants that are also subclasses of str"
-optional = false
-python-versions = ">=3.8.6,<3.11"
-files = [
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-    {file = "backports_strenum-1.3.1.tar.gz", hash = "sha256:77c52407342898497714f0596e86188bb7084f89063226f4ba66863482f42414"},
-]
-
 [[package]]
 name = "bcrypt"
 version = "4.1.3"
@@ -354,17 +343,17 @@ lxml = ["lxml"]

 [[package]]
 name = "boto3"
-version = "1.34.144"
+version = "1.34.140"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "boto3-1.34.144.tar.gz", hash = "sha256:2f3e88b10b8fcc5f6100a9d74cd28230edc9d4fa226d99dd40a3ab38ac213673"},
+    {file = "boto3-1.34.140-py3-none-any.whl", hash = "sha256:23ca8d8f7a30c3bbd989808056b5fc5d68ff5121c02c722c6167b6b1bb7f8726"},
+    {file = "boto3-1.34.140.tar.gz", hash = "sha256:578bbd5e356005719b6b610d03edff7ea1b0824d078afe62d3fb8bea72f83a87"},
 ]

 [package.dependencies]
-botocore = ">=1.34.144,<1.35.0"
+botocore = ">=1.34.140,<1.35.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"

@@ -373,13 +362,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]

 [[package]]
 name = "botocore"
-version = "1.34.144"
+version = "1.34.140"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.34.144-py3-none-any.whl", hash = "sha256:a2cf26e1bf10d5917a2285e50257bc44e94a1d16574f282f3274f7a5d8d1f08b"},
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+    {file = "botocore-1.34.140-py3-none-any.whl", hash = "sha256:43940d3a67d946ba3301631ba4078476a75f1015d4fb0fb0272d0b754b2cf9de"},
+    {file = "botocore-1.34.140.tar.gz", hash = "sha256:86302b2226c743b9eec7915a4c6cfaffd338ae03989cd9ee181078ef39d1ab39"},
 ]

 [package.dependencies]
@@ -417,13 +406,13 @@ virtualenv = ["virtualenv (>=20.0.35)"]

 [[package]]
 name = "cachetools"
-version = "5.4.0"
+version = "5.3.3"
 description = "Extensible memoizing collections and decorators"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "cachetools-5.4.0-py3-none-any.whl", hash = "sha256:3ae3b49a3d5e28a77a0be2b37dbcb89005058959cb2323858c2657c4a8cab474"},
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+    {file = "cachetools-5.3.3-py3-none-any.whl", hash = "sha256:0abad1021d3f8325b2fc1d2e9c8b9c9d57b04c3932657a72465447332c24d945"},
+    {file = "cachetools-5.3.3.tar.gz", hash = "sha256:ba29e2dfa0b8b556606f097407ed1aa62080ee108ab0dc5ec9d6a723a007d105"},
 ]

 [[package]]
@@ -732,13 +721,13 @@ uvicorn = {version = ">=0.18.3", extras = ["standard"]}

 [[package]]
 name = "clarifai"
-version = "10.5.4"
+version = "10.5.3"
 description = "Clarifai Python SDK"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "clarifai-10.5.4-py3-none-any.whl", hash = "sha256:56cc5c0f2a735aa90990c23e9cc2698ce531491d970b0c0f86fb6c107bc1592f"},
-    {file = "clarifai-10.5.4.tar.gz", hash = "sha256:bf2d377dfe8fa7704a666cef7b8b564654c6fced4ef3a83a78b38a6c8bb1847c"},
+    {file = "clarifai-10.5.3-py3-none-any.whl", hash = "sha256:884a0d0ffc36b7e1513a3ebe054716e8f735cd1e6b8ee57397cfa42d81781b24"},
+    {file = "clarifai-10.5.3.tar.gz", hash = "sha256:1ed262e84a8a204be4525acfd101753dc1672bf1f2c86ba3302873741c527126"},
 ]

 [package.dependencies]
@@ -758,13 +747,13 @@ all = ["pycocotools (==2.0.6)"]

 [[package]]
 name = "clarifai-grpc"
-version = "10.6.4"
+version = "10.6.1"
 description = "Clarifai gRPC API Client"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "clarifai_grpc-10.6.4-py3-none-any.whl", hash = "sha256:9fb8c94e6ede5e1005010643f516aa7c1dd3c59ab9282e03ba4932fd929d7584"},
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+    {file = "clarifai_grpc-10.6.1-py3-none-any.whl", hash = "sha256:7f07c262f46042995b11af10cdd552718c4487e955db1b3f1253fcb0c2ab1ce1"},
+    {file = "clarifai_grpc-10.6.1.tar.gz", hash = "sha256:f692e3d6a051a1228ca371c3a9dc705cc9a61334eecc454d056f7af0b6f4dbad"},
 ]

 [package.dependencies]
@@ -789,13 +778,13 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}

 [[package]]
 name = "cohere"
-version = "5.6.1"
+version = "5.5.8"
 description = ""
 optional = false
 python-versions = "<4.0,>=3.8"
 files = [
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 [package.dependencies]
@@ -1129,13 +1118,13 @@ youtube = ["youtube-transcript-api (>=0.6.1,<0.7.0)", "yt_dlp (>=2023.11.14,<202

 [[package]]
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-version = "1.2.2"
+version = "1.2.1"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.extras]
@@ -1143,13 +1132,13 @@ test = ["pytest (>=6)"]

 [[package]]
 name = "fastapi"
-version = "0.111.1"
+version = "0.111.0"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
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 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -1157,10 +1146,12 @@ email_validator = ">=2.0.0"
 fastapi-cli = ">=0.0.2"
 httpx = ">=0.23.0"
 jinja2 = ">=2.11.2"
+orjson = ">=3.2.1"
 pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
 python-multipart = ">=0.0.7"
 starlette = ">=0.37.2,<0.38.0"
 typing-extensions = ">=4.8.0"
+ujson = ">=4.0.1,<4.0.2 || >4.0.2,<4.1.0 || >4.1.0,<4.2.0 || >4.2.0,<4.3.0 || >4.3.0,<5.0.0 || >5.0.0,<5.1.0 || >5.1.0"
 uvicorn = {version = ">=0.12.0", extras = ["standard"]}

 [package.extras]
@@ -1185,42 +1176,42 @@ standard = ["fastapi", "uvicorn[standard] (>=0.15.0)"]

 [[package]]
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-version = "1.9.5"
+version = "1.9.4"
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 [package.extras]
@@ -1431,13 +1422,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]

 [[package]]
 name = "google-auth"
-version = "2.32.0"
+version = "2.31.0"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
@@ -1454,13 +1445,13 @@ requests = ["requests (>=2.20.0,<3.0.0.dev0)"]

 [[package]]
 name = "google-cloud-aiplatform"
-version = "1.59.0"
+version = "1.58.0"
 description = "Vertex AI API client library"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]

 [package.dependencies]
@@ -1471,7 +1462,7 @@ google-cloud-bigquery = ">=1.15.0,<3.20.0 || >3.20.0,<4.0.0dev"
 google-cloud-resource-manager = ">=1.3.3,<3.0.0dev"
 google-cloud-storage = ">=1.32.0,<3.0.0dev"
 packaging = ">=14.3"
-proto-plus = ">=1.22.3,<2.0.0dev"
+proto-plus = ">=1.22.0,<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"
 pydantic = "<3"
 shapely = "<3.0.0dev"
@@ -1551,13 +1542,13 @@ grpc = ["grpcio (>=1.38.0,<2.0dev)", "grpcio-status (>=1.38.0,<2.0.dev0)"]

 [[package]]
 name = "google-cloud-resource-manager"
-version = "1.12.4"
+version = "1.12.3"
 description = "Google Cloud Resource Manager API client library"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
@@ -1565,7 +1556,7 @@ 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"
 grpc-google-iam-v1 = ">=0.12.4,<1.0.0dev"
 proto-plus = ">=1.22.3,<2.0.0dev"
-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"
+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"

 [[package]]
 name = "google-cloud-storage"
@@ -1794,17 +1785,16 @@ test = ["objgraph", "psutil"]

 [[package]]
 name = "griffe"
-version = "0.48.0"
+version = "0.47.0"
 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."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]

 [package.dependencies]
-backports-strenum = {version = ">=1.3", markers = "python_version < \"3.11\""}
 colorama = ">=0.4"

 [[package]]
@@ -2014,13 +2004,13 @@ files = [

 [[package]]
 name = "huggingface-hub"
-version = "0.23.5"
+version = "0.23.4"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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 ]

 [package.dependencies]
@@ -2294,13 +2284,13 @@ files = [

 [[package]]
 name = "json-repair"
-version = "0.25.3"
+version = "0.25.2"
 description = "A package to repair broken json strings"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]

 [[package]]
@@ -2400,19 +2390,19 @@ tests = ["aiohttp", "duckdb", "pandas (>=1.4)", "polars (>=0.19)", "pytest", "py

 [[package]]
 name = "langchain"
-version = "0.2.8"
+version = "0.2.6"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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+    {file = "langchain-0.2.6-py3-none-any.whl", hash = "sha256:f86e8a7afd3e56f8eb5ba47f01dd00144fb9fc2f1db9873bd197347be2857aa4"},
+    {file = "langchain-0.2.6.tar.gz", hash = "sha256:867f6add370c1e3911b0e87d3dd0e36aec1e8f513bf06131340fe8f151d89dc5"},
 ]

 [package.dependencies]
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 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
-langchain-core = ">=0.2.19,<0.3.0"
+langchain-core = ">=0.2.10,<0.3.0"
 langchain-text-splitters = ">=0.2.0,<0.3.0"
 langsmith = ">=0.1.17,<0.2.0"
 numpy = [
@@ -2427,41 +2417,35 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"

 [[package]]
 name = "langchain-cohere"
-version = "0.1.9"
+version = "0.1.8"
 description = "An integration package connecting Cohere and LangChain"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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+    {file = "langchain_cohere-0.1.8-py3-none-any.whl", hash = "sha256:d3ef73d5050513ff3ca0f07c8f3f73b7773eec182312aae92138d3a0ad33e631"},
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 [package.dependencies]
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-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)"]
+langchain-core = ">=0.2.0,<0.3"

 [[package]]
 name = "langchain-community"
-version = "0.2.7"
+version = "0.2.6"
 description = "Community contributed LangChain integrations."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_community-0.2.7-py3-none-any.whl", hash = "sha256:c236e74249ab68a318c94c95327cbe75a76489b61f7bf93f14117d9233ce70b1"},
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+    {file = "langchain_community-0.2.6-py3-none-any.whl", hash = "sha256:758cc800acfe5dd396bf8ba1b57c4792639ead0eab48ed0367f0732ec6ee1f68"},
+    {file = "langchain_community-0.2.6.tar.gz", hash = "sha256:40ce09a50ed798aa651ddb34c8978200fa8589b9813c7a28ce8af027bbf249f0"},
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 [package.dependencies]
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 dataclasses-json = ">=0.5.7,<0.7"
-langchain = ">=0.2.7,<0.3.0"
-langchain-core = ">=0.2.12,<0.3.0"
+langchain = ">=0.2.6,<0.3.0"
+langchain-core = ">=0.2.10,<0.3.0"
 langsmith = ">=0.1.0,<0.2.0"
 numpy = [
    {version = ">=1,<2", markers = "python_version < \"3.12\""},
@@ -2474,13 +2458,13 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"

 [[package]]
 name = "langchain-core"
-version = "0.2.20"
+version = "0.2.11"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_core-0.2.20-py3-none-any.whl", hash = "sha256:16cc4da6f7ebf33accea7af45a70480733dc852ab291030fb6924865bd7caf76"},
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+    {file = "langchain_core-0.2.11-py3-none-any.whl", hash = "sha256:c7ca4dc4d88e3c69fd7916c95a7027c2b1a11c2db5a51141c3ceb8afac212208"},
+    {file = "langchain_core-0.2.11.tar.gz", hash = "sha256:7a4661b50604eeb20c3373fbfd8a4f1b74482a6ab4e0f9df11e96821ead8ef0c"},
 ]

 [package.dependencies]
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+    {file = "ujson-5.10.0.tar.gz", hash = "sha256:b3cd8f3c5d8c7738257f1018880444f7b7d9b66232c64649f562d7ba86ad4bc1"},
 ]

 [[package]]
--- a/src/crewai/agent.py
+++ b/src/crewai/agent.py
@@ -181,6 +181,7 @@ class Agent(BaseAgent):
        self.agent_executor.tools = parsed_tools
        self.agent_executor.task = task

+        # TODO: COMPARE WITH ARGS AND WITHOUT ARGS
        self.agent_executor.tools_description = self._render_text_description_and_args(
            parsed_tools
        )
@@ -203,7 +204,7 @@ class Agent(BaseAgent):
            self._times_executed += 1
            if self._times_executed > self.max_retry_limit:
                raise e
-            result = self.execute_task(task, context, tools)
+            self.execute_task(task, context, tools)

        if self.max_rpm:
            self._rpm_controller.stop_rpm_counter()
--- a/src/crewai/agents/agent_builder/base_agent.py
+++ b/src/crewai/agents/agent_builder/base_agent.py
@@ -1,7 +1,6 @@
 import uuid
 from abc import ABC, abstractmethod
 from copy import copy as shallow_copy
-from hashlib import md5
 from typing import Any, Dict, List, Optional, TypeVar

 from pydantic import (
@@ -163,11 +162,6 @@ class BaseAgent(ABC, BaseModel):
            self._token_process = TokenProcess()
        return self

-    @property
-    def key(self):
-        source = [self.role, self.goal, self.backstory]
-        return md5("|".join(source).encode()).hexdigest()
-
    @abstractmethod
    def execute_task(
        self,
--- a/src/crewai/agents/executor.py
+++ b/src/crewai/agents/executor.py
@@ -242,8 +242,6 @@ class CrewAgentExecutor(AgentExecutor, CrewAgentExecutorMixin):
            else:
                if tool_calling.tool_name.casefold().strip() in [
                    name.casefold().strip() for name in name_to_tool_map
-                ] or tool_calling.tool_name.casefold().replace("_", " ") in [
-                    name.casefold().strip() for name in name_to_tool_map
                ]:
                    observation = tool_usage.use(tool_calling, agent_action.log)
                else:
--- a/src/crewai/crew.py
+++ b/src/crewai/crew.py
@@ -2,7 +2,6 @@ import asyncio
 import json
 import uuid
 from concurrent.futures import Future
-from hashlib import md5
 from typing import Any, Dict, List, Optional, Tuple, Union

 from langchain_core.callbacks import BaseCallbackHandler
@@ -28,7 +27,6 @@ from crewai.memory.long_term.long_term_memory import LongTermMemory
 from crewai.memory.short_term.short_term_memory import ShortTermMemory
 from crewai.process import Process
 from crewai.task import Task
-from crewai.tasks.conditional_task import ConditionalTask
 from crewai.tasks.task_output import TaskOutput
 from crewai.telemetry import Telemetry
 from crewai.tools.agent_tools import AgentTools
@@ -38,11 +36,12 @@ from crewai.utilities.constants import (
    TRAINING_DATA_FILE,
 )
 from crewai.utilities.evaluators.task_evaluator import TaskEvaluator
+from crewai.utilities.task_output_storage_handler import TaskOutputStorageHandler
+
 from crewai.utilities.formatter import (
    aggregate_raw_outputs_from_task_outputs,
    aggregate_raw_outputs_from_tasks,
 )
-from crewai.utilities.task_output_storage_handler import TaskOutputStorageHandler
 from crewai.utilities.training_handler import CrewTrainingHandler

 try:
@@ -295,29 +294,6 @@ class Crew(BaseModel):

        return self

-    @model_validator(mode="after")
-    def validate_first_task(self) -> "Crew":
-        """Ensure the first task is not a ConditionalTask."""
-        if self.tasks and isinstance(self.tasks[0], ConditionalTask):
-            raise PydanticCustomError(
-                "invalid_first_task",
-                "The first task cannot be a ConditionalTask.",
-                {},
-            )
-        return self
-
-    @model_validator(mode="after")
-    def validate_async_tasks_not_async(self) -> "Crew":
-        """Ensure that ConditionalTask is not async."""
-        for task in self.tasks:
-            if task.async_execution and isinstance(task, ConditionalTask):
-                raise PydanticCustomError(
-                    "invalid_async_conditional_task",
-                    f"Conditional Task: {task.description} , cannot be executed asynchronously.",  # type: ignore # Argument of type "str" cannot be assigned to parameter "message_template" of type "LiteralString"
-                    {},
-                )
-        return self
-
    @model_validator(mode="after")
    def validate_async_task_cannot_include_sequential_async_tasks_in_context(self):
        """
@@ -354,13 +330,6 @@ class Crew(BaseModel):
                        )
        return self

-    @property
-    def key(self) -> str:
-        source = [agent.key for agent in self.agents] + [
-            task.key for task in self.tasks
-        ]
-        return md5("|".join(source).encode()).hexdigest()
-
    def _setup_from_config(self):
        assert self.config is not None, "Config should not be None."

@@ -646,18 +615,10 @@ class Crew(BaseModel):
                )
            self._log_task_start(task, agent_to_use)

-            if isinstance(task, ConditionalTask):
-                skipped_task_output = self._handle_conditional_task(
-                    task, task_outputs, futures, task_index, was_replayed
-                )
-                if skipped_task_output:
-                    continue
-
            if task.async_execution:
                context = self._get_context(
                    task, [last_sync_output] if last_sync_output else []
                )
-                self._log_task_start(task, agent_to_use.role)
                future = task.execute_async(
                    agent=agent_to_use,
                    context=context,
@@ -666,11 +627,12 @@ class Crew(BaseModel):
                futures.append((task, future, task_index))
            else:
                if futures:
-                    task_outputs = self._process_async_tasks(futures, was_replayed)
+                    task_outputs.extend(
+                        self._process_async_tasks(futures, was_replayed)
+                    )
                    futures.clear()

                context = self._get_context(task, task_outputs)
-                self._log_task_start(task, agent_to_use.role)
                task_output = task.execute_sync(
                    agent=agent_to_use,
                    context=context,
@@ -685,32 +647,6 @@ class Crew(BaseModel):

        return self._create_crew_output(task_outputs)

-    def _handle_conditional_task(
-        self,
-        task: ConditionalTask,
-        task_outputs: List[TaskOutput],
-        futures: List[Tuple[Task, Future[TaskOutput], int]],
-        task_index: int,
-        was_replayed: bool,
-    ) -> Optional[TaskOutput]:
-        if futures:
-            task_outputs = self._process_async_tasks(futures, was_replayed)
-            futures.clear()
-
-        previous_output = task_outputs[task_index - 1] if task_outputs else None
-        if previous_output is not None and not task.should_execute(previous_output):
-            self._logger.log(
-                "debug",
-                f"Skipping conditional task: {task.description}",
-                color="yellow",
-            )
-            skipped_task_output = task.get_skipped_task_output()
-
-            if not was_replayed:
-                self._store_execution_log(task, skipped_task_output, task_index)
-            return skipped_task_output
-        return None
-
    def _prepare_task(self, task: Task, manager: Optional[BaseAgent]):
        if self.process == Process.hierarchical:
            self._update_manager_tools(task, manager)
@@ -743,8 +679,9 @@ class Crew(BaseModel):
                    # Add the new tool
                    task.tools.append(new_tool)

-    def _log_task_start(self, task: Task, role: str = "None"):
+    def _log_task_start(self, task: Task, agent: Optional[BaseAgent]):
        color = self._logging_color
+        role = agent.role if agent else "None"
        self._logger.log("debug", f"== Working Agent: {role}", color=color)
        self._logger.log("info", f"== Starting Task: {task.description}", color=color)
        if self.output_log_file:
@@ -793,7 +730,7 @@ class Crew(BaseModel):
        futures: List[Tuple[Task, Future[TaskOutput], int]],
        was_replayed: bool = False,
    ) -> List[TaskOutput]:
-        task_outputs: List[TaskOutput] = []
+        task_outputs = []
        for future_task, future, task_index in futures:
            task_output = future.result()
            task_outputs.append(task_output)
--- a/src/crewai/task.py
+++ b/src/crewai/task.py
@@ -5,7 +5,6 @@ import threading
 import uuid
 from concurrent.futures import Future
 from copy import copy
-from hashlib import md5
 from typing import Any, Dict, List, Optional, Tuple, Type, Union

 from langchain_openai import ChatOpenAI
@@ -174,14 +173,6 @@ class Task(BaseModel):
        """Execute the task synchronously."""
        return self._execute_core(agent, context, tools)

-    @property
-    def key(self) -> str:
-        description = self._original_description or self.description
-        expected_output = self._original_expected_output or self.expected_output
-        source = [description, expected_output]
-
-        return md5("|".join(source).encode()).hexdigest()
-
    def execute_async(
        self,
        agent: BaseAgent | None = None,
@@ -247,14 +238,16 @@ class Task(BaseModel):
            self.callback(self.output)

        if self._execution_span:
-            self._telemetry.task_ended(self._execution_span, self, agent.crew)
+            self._telemetry.task_ended(self._execution_span, self)
            self._execution_span = None

        if self.output_file:
            content = (
                json_output
                if json_output
-                else pydantic_output.model_dump_json() if pydantic_output else result
+                else pydantic_output.model_dump_json()
+                if pydantic_output
+                else result
            )
            self._save_file(content)

--- a/src/crewai/tasks/conditional_task.py
+++ b/src/crewai/tasks/conditional_task.py
@@ -1,47 +0,0 @@
-from typing import Any, Callable
-
-from pydantic import Field
-
-from crewai.task import Task
-from crewai.tasks.output_format import OutputFormat
-from crewai.tasks.task_output import TaskOutput
-
-
-class ConditionalTask(Task):
-    """
-    A task that can be conditionally executed based on the output of another task.
-    Note: This cannot be the only task you have in your crew and cannot be the first since its needs context from the previous task.
-    """
-
-    condition: Callable[[TaskOutput], bool] = Field(
-        default=None,
-        description="Maximum number of retries for an agent to execute a task when an error occurs.",
-    )
-
-    def __init__(
-        self,
-        condition: Callable[[Any], bool],
-        **kwargs,
-    ):
-        super().__init__(**kwargs)
-        self.condition = condition
-
-    def should_execute(self, context: TaskOutput) -> bool:
-        """
-        Determines whether the conditional task should be executed based on the provided context.
-
-        Args:
-            context (Any): The context or output from the previous task that will be evaluated by the condition.
-
-        Returns:
-            bool: True if the task should be executed, False otherwise.
-        """
-        return self.condition(context)
-
-    def get_skipped_task_output(self):
-        return TaskOutput(
-            description=self.description,
-            raw="",
-            agent=self.agent.role if self.agent else "",
-            output_format=OutputFormat.RAW,
-        )
--- a/src/crewai/telemetry/telemetry.py
+++ b/src/crewai/telemetry/telemetry.py
@@ -92,8 +92,13 @@ class Telemetry:
                    pkg_resources.get_distribution("crewai").version,
                )
                self._add_attribute(span, "python_version", platform.python_version())
-                self._add_attribute(span, "crew_key", crew.key)
                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_memory", crew.memory)
                self._add_attribute(span, "crew_number_of_tasks", len(crew.tasks))
@@ -104,7 +109,6 @@ class Telemetry:
                    json.dumps(
                        [
                            {
-                                "key": agent.key,
                                "id": str(agent.id),
                                "role": agent.role,
                                "goal": agent.goal,
@@ -129,14 +133,12 @@ class Telemetry:
                    json.dumps(
                        [
                            {
-                                "key": task.key,
                                "id": str(task.id),
                                "description": task.description,
                                "expected_output": task.expected_output,
                                "async_execution?": task.async_execution,
                                "human_input?": task.human_input,
                                "agent_role": task.agent.role if task.agent else "None",
-                                "agent_key": task.agent.key if task.agent else None,
                                "context": (
                                    [task.description for task in task.context]
                                    if task.context
@@ -155,12 +157,6 @@ class Telemetry:
                self._add_attribute(span, "platform_system", platform.system())
                self._add_attribute(span, "platform_version", platform.version())
                self._add_attribute(span, "cpus", os.cpu_count())
-
-                if crew.share_crew:
-                    self._add_attribute(
-                        span, "crew_inputs", json.dumps(inputs) if inputs else None
-                    )
-
                span.set_status(Status(StatusCode.OK))
                span.end()
            except Exception:
@@ -174,9 +170,8 @@ class Telemetry:

                created_span = tracer.start_span("Task Created")

-                self._add_attribute(created_span, "crew_key", crew.key)
                self._add_attribute(created_span, "crew_id", str(crew.id))
-                self._add_attribute(created_span, "task_key", task.key)
+                self._add_attribute(created_span, "task_index", crew.tasks.index(task))
                self._add_attribute(created_span, "task_id", str(task.id))

                if crew.share_crew:
@@ -192,9 +187,8 @@ class Telemetry:

                span = tracer.start_span("Task Execution")

-                self._add_attribute(span, "crew_key", crew.key)
                self._add_attribute(span, "crew_id", str(crew.id))
-                self._add_attribute(span, "task_key", task.key)
+                self._add_attribute(span, "task_index", crew.tasks.index(task))
                self._add_attribute(span, "task_id", str(task.id))

                if crew.share_crew:
@@ -209,16 +203,13 @@ class Telemetry:

        return None

-    def task_ended(self, span: Span, task: Task, crew: Crew):
+    def task_ended(self, span: Span, task: Task):
        """Records task execution in a crew."""
        if self.ready:
            try:
-                if crew.share_crew:
-                    self._add_attribute(
-                        span,
-                        "task_output",
-                        task.output.raw if task.output else "",
-                    )
+                self._add_attribute(
+                    span, "output", task.output.raw_output if task.output else ""
+                )

                span.set_status(Status(StatusCode.OK))
                span.end()
@@ -293,10 +284,10 @@ class Telemetry:
        """Records the complete execution of a crew.
        This is only collected if the user has opted-in to share the crew.
        """
-        self.crew_creation(crew, inputs)
-
        if (self.ready) and (crew.share_crew):
            try:
+                self.crew_creation(crew, inputs)
+
                tracer = trace.get_tracer("crewai.telemetry")
                span = tracer.start_span("Crew Execution")
                self._add_attribute(
@@ -304,7 +295,6 @@ class Telemetry:
                    "crewai_version",
                    pkg_resources.get_distribution("crewai").version,
                )
-                self._add_attribute(span, "crew_key", crew.key)
                self._add_attribute(span, "crew_id", str(crew.id))
                self._add_attribute(
                    span, "crew_inputs", json.dumps(inputs) if inputs else None
@@ -315,7 +305,6 @@ class Telemetry:
                    json.dumps(
                        [
                            {
-                                "key": agent.key,
                                "id": str(agent.id),
                                "role": agent.role,
                                "goal": agent.goal,
@@ -346,7 +335,6 @@ class Telemetry:
                                "async_execution?": task.async_execution,
                                "human_input?": task.human_input,
                                "agent_role": task.agent.role if task.agent else "None",
-                                "agent_key": task.agent.key if task.agent else None,
                                "context": (
                                    [task.description for task in task.context]
                                    if task.context
--- a/src/crewai/utilities/converter.py
+++ b/src/crewai/utilities/converter.py
@@ -38,10 +38,10 @@ class Converter(OutputConverter):
                return self._create_instructor().to_json()
            else:
                return json.dumps(self._create_chain().invoke({}).model_dump())
-        except Exception as e:
+        except Exception:
            if current_attempt < self.max_attempts:
                return self.to_json(current_attempt + 1)
-            return ConverterError(f"Failed to convert text into JSON, error: {e}.")
+            return ConverterError("Failed to convert text into JSON.")

    def _create_instructor(self):
        """Create an instructor."""
--- a/src/crewai/utilities/crew_pydantic_output_parser.py
+++ b/src/crewai/utilities/crew_pydantic_output_parser.py
@@ -17,16 +17,6 @@ class CrewPydanticOutputParser(PydanticOutputParser):

    def parse_result(self, result: List[Generation], *, partial: bool = False) -> Any:
        result[0].text = self._transform_in_valid_json(result[0].text)
-
-        # Treating edge case of function calling llm returning the name instead of tool_name
-        json_object = json.loads(result[0].text)
-        json_object["tool_name"] = (
-            json_object["name"]
-            if "tool_name" not in json_object
-            else json_object["tool_name"]
-        )
-        result[0].text = json.dumps(json_object)
-
        json_object = super().parse_result(result)
        try:
            return self.pydantic_object.parse_obj(json_object)
--- a/src/crewai/utilities/printer.py
+++ b/src/crewai/utilities/printer.py
@@ -10,8 +10,6 @@ class Printer:
            self._print_bold_purple(content)
        elif color == "bold_blue":
            self._print_bold_blue(content)
-        elif color == "yellow":
-            self._print_yellow(content)
        else:
            print(content)

@@ -29,6 +27,3 @@ class Printer:

    def _print_bold_blue(self, content):
        print("\033[1m\033[94m {}\033[00m".format(content))
-
-    def _print_yellow(self, content):
-        print("\033[93m {}\033[00m".format(content))
--- a/tests/agents/agent_builder/base_agent_test.py
+++ b/tests/agents/agent_builder/base_agent_test.py
@@ -1,36 +0,0 @@
-import hashlib
-from typing import Any, List, Optional
-
-from crewai.agents.agent_builder.base_agent import BaseAgent
-from pydantic import BaseModel
-
-
-class TestAgent(BaseAgent):
-    def execute_task(
-        self,
-        task: Any,
-        context: Optional[str] = None,
-        tools: Optional[List[Any]] = None,
-    ) -> str:
-        return ""
-
-    def create_agent_executor(self, tools=None) -> None: ...
-
-    def _parse_tools(self, tools: List[Any]) -> List[Any]:
-        return []
-
-    def get_delegation_tools(self, agents: List["BaseAgent"]): ...
-
-    def get_output_converter(
-        self, llm: Any, text: str, model: type[BaseModel] | None, instructions: str
-    ): ...
-
-
-def test_key():
-    agent = TestAgent(
-        role="test role",
-        goal="test goal",
-        backstory="test backstory",
-    )
-    hash = hashlib.md5("test role|test goal|test backstory".encode()).hexdigest()
-    assert agent.key == hash
--- a/tests/cassettes/test_conditional_task_last_task.yaml
+++ b/tests/cassettes/test_conditional_task_last_task.yaml
--- a/tests/cassettes/test_conditional_task_last_task_when_conditional_is_false.yaml
+++ b/tests/cassettes/test_conditional_task_last_task_when_conditional_is_false.yaml
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+++ b/tests/cassettes/test_conditional_task_last_task_when_conditional_is_true.yaml
--- a/tests/cassettes/test_crew_does_not_interpolate_without_inputs.yaml
+++ b/tests/cassettes/test_crew_does_not_interpolate_without_inputs.yaml
--- a/tests/cassettes/test_json_property_without_output_json.yaml
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-      - '23733'
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-      - Tue, 16 Jul 2024 18:43:12 GMT
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--- a/tests/crew_test.py
+++ b/tests/crew_test.py
@@ -1,13 +1,13 @@
 """Test Agent creation and execution basic functionality."""

-import hashlib
 import json
 from concurrent.futures import Future
 from unittest import mock
-from unittest.mock import MagicMock, patch
+from unittest.mock import patch

 import pydantic_core
 import pytest
+
 from crewai.agent import Agent
 from crewai.agents.cache import CacheHandler
 from crewai.crew import Crew
@@ -15,7 +15,6 @@ from crewai.crews.crew_output import CrewOutput
 from crewai.memory.contextual.contextual_memory import ContextualMemory
 from crewai.process import Process
 from crewai.task import Task
-from crewai.tasks.conditional_task import ConditionalTask
 from crewai.tasks.output_format import OutputFormat
 from crewai.tasks.task_output import TaskOutput
 from crewai.utilities import Logger, RPMController
@@ -917,7 +916,9 @@ async def test_kickoff_async_basic_functionality_and_output():
@pytest.mark.vcr(filter_headers=["authorization"])
@pytest.mark.asyncio
 async def test_async_kickoff_for_each_async_basic_functionality_and_output():
-    """Tests the basic functionality and output of kickoff_for_each_async."""
+    """Tests the basic functionality and output of akickoff_for_each_async."""
+    from unittest.mock import patch
+
    inputs = [
        {"topic": "dog"},
        {"topic": "cat"},
@@ -943,13 +944,8 @@ async def test_async_kickoff_for_each_async_basic_functionality_and_output():
        agent=agent,
    )

-    async def mock_kickoff_async(**kwargs):
-        input_data = kwargs.get("inputs")
-        index = [input_["topic"] for input_ in inputs].index(input_data["topic"])
-        return expected_outputs[index]
-
    with patch.object(
-        Crew, "kickoff_async", side_effect=mock_kickoff_async
+        Crew, "kickoff_async", side_effect=expected_outputs
    ) as mock_kickoff_async:
        crew = Crew(agents=[agent], tasks=[task])

@@ -1358,7 +1354,6 @@ def test_crew_inputs_interpolate_both_agents_and_tasks_diff():
                interpolate_task_inputs.assert_called()


-@pytest.mark.vcr(filter_headers=["authorization"])
 def test_crew_does_not_interpolate_without_inputs():
    from unittest.mock import patch

@@ -2001,7 +1996,6 @@ def test_replay_task_with_context():
        db_handler.reset()


-@pytest.mark.vcr(filter_headers=["authorization"])
 def test_replay_from_task_with_context():
    agent = Agent(role="test_agent", backstory="Test Description", goal="Test Goal")
    task1 = Task(
@@ -2119,7 +2113,6 @@ def test_replay_with_invalid_task_id():
            crew.replay_from_task("bf5b09c9-69bd-4eb8-be12-f9e5bae31c2d")


-@pytest.mark.vcr(filter_headers=["authorization"])
@patch.object(Crew, "_interpolate_inputs")
 def test_replay_interpolates_inputs_properly(mock_interpolate_inputs):
    agent = Agent(role="test_agent", backstory="Test Description", goal="Test Goal")
@@ -2241,185 +2234,3 @@ def test_replay_from_task_setup_context():
        assert crew.tasks[0].output.output_format == OutputFormat.RAW

        assert crew.tasks[1].prompt_context == "context raw output"
-
-
-def test_key():
-    tasks = [
-        Task(
-            description="Give me a list of 5 interesting ideas to explore for na article, what makes them unique and interesting.",
-            expected_output="Bullet point list of 5 important events.",
-            agent=researcher,
-        ),
-        Task(
-            description="Write a 1 amazing paragraph highlight for each idea that showcases how good an article about this topic could be. Return the list of ideas with their paragraph and your notes.",
-            expected_output="A 4 paragraph article about AI.",
-            agent=writer,
-        ),
-    ]
-    crew = Crew(
-        agents=[researcher, writer],
-        process=Process.sequential,
-        tasks=tasks,
-    )
-    hash = hashlib.md5(
-        f"{researcher.key}|{writer.key}|{tasks[0].key}|{tasks[1].key}".encode()
-    ).hexdigest()
-
-    assert crew.key == hash
-
-
-def test_conditional_task_requirement_breaks_when_singular_conditional_task():
-    def condition_fn(output) -> bool:
-        return output.raw.startswith("Andrew Ng has!!")
-
-    task = ConditionalTask(
-        description="Come up with a list of 5 interesting ideas to explore for an article, then write one amazing paragraph highlight for each idea that showcases how good an article about this topic could be. Return the list of ideas with their paragraph and your notes.",
-        expected_output="5 bullet points with a paragraph for each idea.",
-        condition=condition_fn,
-    )
-
-    with pytest.raises(pydantic_core._pydantic_core.ValidationError):
-        Crew(
-            agents=[researcher, writer],
-            tasks=[task],
-        )
-
-
-@pytest.mark.vcr(filter_headers=["authorization"])
-def test_conditional_task_last_task_when_conditional_is_true():
-    def condition_fn(output) -> bool:
-        return True
-
-    task1 = Task(
-        description="Say Hi",
-        expected_output="Hi",
-        agent=researcher,
-    )
-    task2 = ConditionalTask(
-        description="Come up with a list of 5 interesting ideas to explore for an article, then write one amazing paragraph highlight for each idea that showcases how good an article about this topic could be. Return the list of ideas with their paragraph and your notes.",
-        expected_output="5 bullet points with a paragraph for each idea.",
-        condition=condition_fn,
-        agent=writer,
-    )
-
-    crew = Crew(
-        agents=[researcher, writer],
-        tasks=[task1, task2],
-    )
-    result = crew.kickoff()
-    assert result.raw.startswith(
-        "1. **The Rise of AI Agents in Customer Service: Revolutionizing Customer Interactions**"
-    )
-
-
-@pytest.mark.vcr(filter_headers=["authorization"])
-def test_conditional_task_last_task_when_conditional_is_false():
-    def condition_fn(output) -> bool:
-        return False
-
-    task1 = Task(
-        description="Say Hi",
-        expected_output="Hi",
-        agent=researcher,
-    )
-    task2 = ConditionalTask(
-        description="Come up with a list of 5 interesting ideas to explore for an article, then write one amazing paragraph highlight for each idea that showcases how good an article about this topic could be. Return the list of ideas with their paragraph and your notes.",
-        expected_output="5 bullet points with a paragraph for each idea.",
-        condition=condition_fn,
-        agent=writer,
-    )
-
-    crew = Crew(
-        agents=[researcher, writer],
-        tasks=[task1, task2],
-    )
-    result = crew.kickoff()
-    print(result.raw)
-    assert result.raw == "Hi"
-
-
-def test_conditional_task_requirement_breaks_when_task_async():
-    def my_condition(context):
-        return context.get("some_value") > 10
-
-    task = ConditionalTask(
-        description="Come up with a list of 5 interesting ideas to explore for an article, then write one amazing paragraph highlight for each idea that showcases how good an article about this topic could be. Return the list of ideas with their paragraph and your notes.",
-        expected_output="5 bullet points with a paragraph for each idea.",
-        execute_async=True,
-        condition=my_condition,
-        agent=researcher,
-    )
-    task2 = Task(
-        description="Say Hi",
-        expected_output="Hi",
-        agent=writer,
-    )
-
-    with pytest.raises(pydantic_core._pydantic_core.ValidationError):
-        Crew(
-            agents=[researcher, writer],
-            tasks=[task, task2],
-        )
-
-
-@pytest.mark.vcr(filter_headers=["authorization"])
-def test_conditional_should_skip():
-    task1 = Task(description="Return hello", expected_output="say hi", agent=researcher)
-
-    condition_mock = MagicMock(return_value=False)
-    task2 = ConditionalTask(
-        description="Come up with a list of 5 interesting ideas to explore for an article, then write one amazing paragraph highlight for each idea that showcases how good an article about this topic could be. Return the list of ideas with their paragraph and your notes.",
-        expected_output="5 bullet points with a paragraph for each idea.",
-        condition=condition_mock,
-        agent=writer,
-    )
-    crew_met = Crew(
-        agents=[researcher, writer],
-        tasks=[task1, task2],
-    )
-    with patch.object(Task, "execute_sync") as mock_execute_sync:
-        mock_execute_sync.return_value = TaskOutput(
-            description="Task 1 description",
-            raw="Task 1 output",
-            agent="Researcher",
-        )
-
-        result = crew_met.kickoff()
-        assert mock_execute_sync.call_count == 1
-
-        assert condition_mock.call_count == 1
-        assert condition_mock() is False
-
-        assert task2.output is None
-        assert result.raw.startswith("Task 1 output")
-
-
-@pytest.mark.vcr(filter_headers=["authorization"])
-def test_conditional_should_execute():
-    task1 = Task(description="Return hello", expected_output="say hi", agent=researcher)
-
-    condition_mock = MagicMock(
-        return_value=True
-    )  # should execute this conditional task
-    task2 = ConditionalTask(
-        description="Come up with a list of 5 interesting ideas to explore for an article, then write one amazing paragraph highlight for each idea that showcases how good an article about this topic could be. Return the list of ideas with their paragraph and your notes.",
-        expected_output="5 bullet points with a paragraph for each idea.",
-        condition=condition_mock,
-        agent=writer,
-    )
-    crew_met = Crew(
-        agents=[researcher, writer],
-        tasks=[task1, task2],
-    )
-    with patch.object(Task, "execute_sync") as mock_execute_sync:
-        mock_execute_sync.return_value = TaskOutput(
-            description="Task 1 description",
-            raw="Task 1 output",
-            agent="Researcher",
-        )
-
-        crew_met.kickoff()
-
-        assert condition_mock.call_count == 1
-        assert condition_mock() is True
-        assert mock_execute_sync.call_count == 2
--- a/tests/task_test.py
+++ b/tests/task_test.py
@@ -1,17 +1,16 @@
 """Test Agent creation and execution basic functionality."""

-import hashlib
 import json
 from unittest.mock import MagicMock, patch

 import pytest
-from crewai import Agent, Crew, Process, Task
-from crewai.tasks.conditional_task import ConditionalTask
-from crewai.tasks.task_output import TaskOutput
-from crewai.utilities.converter import Converter
 from pydantic import BaseModel
 from pydantic_core import ValidationError

+from crewai import Agent, Crew, Process, Task
+from crewai.tasks.task_output import TaskOutput
+from crewai.utilities.converter import Converter
+

 def test_task_tool_reflect_agent_tools():
    from langchain.tools import tool
@@ -318,7 +317,6 @@ def test_output_json_hierarchical():
    assert result.to_dict() == {"score": 4}


-@pytest.mark.vcr(filter_headers=["authorization"])
 def test_json_property_without_output_json():
    class ScoreOutput(BaseModel):
        score: int
@@ -399,8 +397,8 @@ def test_output_json_dict_hierarchical():
        manager_llm=ChatOpenAI(model="gpt-4o"),
    )
    result = crew.kickoff()
-    assert {"score": 5} == result.json_dict
-    assert result.to_dict() == {"score": 5}
+    assert {"score": 4} == result.json_dict
+    assert result.to_dict() == {"score": 4}


@pytest.mark.vcr(filter_headers=["authorization"])
@@ -697,19 +695,6 @@ def test_task_definition_based_on_dict():
    assert task.agent is None


-def test_conditional_task_definition_based_on_dict():
-    config = {
-        "description": "Give me an integer score between 1-5 for the following title: 'The impact of AI in the future of work', check examples to based your evaluation.",
-        "expected_output": "The score of the title.",
-    }
-
-    task = ConditionalTask(config=config, condition=lambda x: True)
-
-    assert task.description == config["description"]
-    assert task.expected_output == config["expected_output"]
-    assert task.agent is None
-
-
 def test_interpolate_inputs():
    task = Task(
        description="Give me a list of 5 interesting ideas about {topic} to explore for an article, what makes them unique and interesting.",
@@ -806,22 +791,3 @@ def test_task_output_str_with_none():
    )

    assert str(task_output) == ""
-
-
-def test_key():
-    original_description = "Give me a list of 5 interesting ideas about {topic} to explore for an article, what makes them unique and interesting."
-    original_expected_output = "Bullet point list of 5 interesting ideas about {topic}."
-    task = Task(
-        description=original_description,
-        expected_output=original_expected_output,
-    )
-    hash = hashlib.md5(
-        f"{original_description}|{original_expected_output}".encode()
-    ).hexdigest()
-
-    assert task.key == hash, "The key should be the hash of the description."
-
-    task.interpolate_inputs(inputs={"topic": "AI"})
-    assert (
-        task.key == hash
-    ), "The key should be the hash of the non-interpolated description."
Author	SHA1	Message	Date
Brandon Hancock	b0d1161699	Merge branch 'main' into feature/add-docs-for-crew-output	2024-07-15 16:15:44 -04:00
Brandon Hancock	c31c99337f	Add reference to change log	2024-07-15 16:12:47 -04:00
Brandon Hancock	1ba66f06b8	Add docs for crewoutput and taskoutput	2024-07-15 15:10:57 -04:00