removing logs and preping new version

* Fix Creating-a-Crew-and-kick-it-off.md

- Update deps to include `crewai[tools]`
- Remove invalid `max_inter` arg from Task constructor call

* Update Creating-a-Crew-and-kick-it-off.md

---------

Co-authored-by: João Moura <joaomdmoura@gmail.com>

README.md

@@ -24,6 +24,7 @@
 - [Key Features](#key-features)
 - [Examples](#examples)
   - [Quick Tutorial](#quick-tutorial)
+  - [Write Job Descriptions](#write-job-descriptions)
   - [Trip Planner](#trip-planner)
   - [Stock Analysis](#stock-analysis)
 - [Connecting Your Crew to a Model](#connecting-your-crew-to-a-model)
@@ -51,7 +52,7 @@ pip install crewai
 If you want to also install crewai-tools, which is a package with tools that can be used by the agents, but more dependencies, you can install it with:
 
 ```shell
-pip install crewai[tools]
+pip install 'crewai[tools]'
 ```
 
 The example below also uses DuckDuckGo's Search. You can install it with `pip` too:
@@ -113,8 +114,8 @@ writer = Agent(
 # Create tasks for your agents
 task1 = Task(
   description="""Conduct a comprehensive analysis of the latest advancements in AI in 2024.
-  Identify key trends, breakthrough technologies, and potential industry impacts.
-  Your final answer MUST be a full analysis report""",
+  Identify key trends, breakthrough technologies, and potential industry impacts.""",
+  expected_output="Full analysis report in bullet points",
   agent=researcher
 )
 
@@ -122,8 +123,8 @@ task2 = Task(
   description="""Using the insights provided, develop an engaging blog
   post that highlights the most significant AI advancements.
   Your post should be informative yet accessible, catering to a tech-savvy audience.
-  Make it sound cool, avoid complex words so it doesn't sound like AI.
-  Your final answer MUST be the full blog post of at least 4 paragraphs.""",
+  Make it sound cool, avoid complex words so it doesn't sound like AI.""",
+  expected_output="Full blog post of at least 4 paragraphs",
   agent=writer
 )
 
@@ -168,6 +169,12 @@ You can test different real life examples of AI crews in the [crewAI-examples re
 
 [![CrewAI Tutorial](https://img.youtube.com/vi/tnejrr-0a94/maxresdefault.jpg)](https://www.youtube.com/watch?v=tnejrr-0a94 "CrewAI Tutorial")
 
+### Write Job Descriptions
+
+[Check out code for this example](https://github.com/joaomdmoura/crewAI-examples/tree/main/job-posting) or watch a video below:
+
+[![Jobs postings](https://img.youtube.com/vi/u98wEMz-9to/maxresdefault.jpg)](https://www.youtube.com/watch?v=u98wEMz-9to "Jobs postings")
+
 ### Trip Planner
 
 [Check out code for this example](https://github.com/joaomdmoura/crewAI-examples/tree/main/trip_planner) or watch a video below:

docs/core-concepts/Tools.md

@@ -21,7 +21,7 @@ CrewAI tools empower agents with capabilities ranging from web searching and dat
 crewAI comes with a series to built-in tools that can be used to extend the capabilities of your agents. Start by installing our extra tools package:
 
 ```bash
-pip install crewai[tools]
+pip install 'crewai[tools]'
 ```
 
 Here is an example on how to use them:
@@ -140,7 +140,7 @@ Here is a list of the available tools and their descriptions:
 To create your own crewAI tools you will need to install our extra tools package:
 
 ```bash
-pip install crewai[tools]
+pip install 'crewai[tools]'
 ```
 
 Once you do that there are two main ways for one to create a crewAI tool:

docs/how-to/Creating-a-Crew-and-kick-it-off.md

@@ -11,6 +11,7 @@ Install CrewAI and any necessary packages for your project. The `duckduckgo-sear
 
 ```shell
 pip install crewai
+pip install crewai[tools]
 pip install duckduckgo-search
 ```
 
@@ -68,7 +69,6 @@ research_task = Task(
   Your final report should clearly articulate the key points,
   its market opportunities, and potential risks.""",
   expected_output='A comprehensive 3 paragraphs long report on the latest AI trends.',
-  max_inter=3,
   tools=[search_tool],
   agent=researcher,
 )

docs/how-to/Customizing-Agents.md

@@ -35,7 +35,7 @@ The `max_iter` attribute allows users to define the maximum number of iterations
 Agents are customized by defining their attributes and tools during initialization. Tools are critical for an agent's functionality, enabling them to perform specialized tasks. In this example we will use the crewAI tools package to create a tool for a research analyst agent.
 
 ```shell
-pip install crewai[tools]
+pip install 'crewai[tools]'
 ```
 
 ### Example: Assigning Tools to an Agent

poetry.lock

@@ -114,7 +114,7 @@ frozenlist = ">=1.1.0"
 name = "alembic"
 version = "1.13.1"
 description = "A database migration tool for SQLAlchemy."
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "alembic-1.13.1-py3-none-any.whl", hash = "sha256:2edcc97bed0bd3272611ce3a98d98279e9c209e7186e43e75bbb1b2bdfdbcc43"},
@@ -166,7 +166,7 @@ trio = ["trio (>=0.23)"]
 name = "asgiref"
 version = "3.7.2"
 description = "ASGI specs, helper code, and adapters"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "asgiref-3.7.2-py3-none-any.whl", hash = "sha256:89b2ef2247e3b562a16eef663bc0e2e703ec6468e2fa8a5cd61cd449786d4f6e"},
@@ -242,7 +242,7 @@ dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"]
 name = "backoff"
 version = "2.2.1"
 description = "Function decoration for backoff and retry"
-optional = true
+optional = false
 python-versions = ">=3.7,<4.0"
 files = [
     {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
@@ -253,7 +253,7 @@ files = [
 name = "bcrypt"
 version = "4.1.2"
 description = "Modern password hashing for your software and your servers"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "bcrypt-4.1.2-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:ac621c093edb28200728a9cca214d7e838529e557027ef0581685909acd28b5e"},
@@ -293,7 +293,7 @@ typecheck = ["mypy"]
 name = "beautifulsoup4"
 version = "4.12.3"
 description = "Screen-scraping library"
-optional = true
+optional = false
 python-versions = ">=3.6.0"
 files = [
     {file = "beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"},
@@ -344,7 +344,7 @@ resolved_reference = "6fdf8a4af28071ed1d079c01122b34c5d587207a"
 name = "brotli"
 version = "1.1.0"
 description = "Python bindings for the Brotli compression library"
-optional = true
+optional = false
 python-versions = "*"
 files = [
     {file = "Brotli-1.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e1140c64812cb9b06c922e77f1c26a75ec5e3f0fb2bf92cc8c58720dec276752"},
@@ -436,7 +436,7 @@ files = [
 name = "brotlicffi"
 version = "1.1.0.0"
 description = "Python CFFI bindings to the Brotli library"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "brotlicffi-1.1.0.0-cp37-abi3-macosx_10_9_x86_64.whl", hash = "sha256:9b7ae6bd1a3f0df532b6d67ff674099a96d22bc0948955cb338488c31bfb8851"},
@@ -475,7 +475,7 @@ cffi = ">=1.0.0"
 name = "build"
 version = "1.0.3"
 description = "A simple, correct Python build frontend"
-optional = true
+optional = false
 python-versions = ">= 3.7"
 files = [
     {file = "build-1.0.3-py3-none-any.whl", hash = "sha256:589bf99a67df7c9cf07ec0ac0e5e2ea5d4b37ac63301c4986d1acb126aa83f8f"},
@@ -496,13 +496,13 @@ virtualenv = ["virtualenv (>=20.0.35)"]
 
 [[package]]
 name = "cachetools"
-version = "5.3.2"
+version = "5.3.3"
 description = "Extensible memoizing collections and decorators"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "cachetools-5.3.2-py3-none-any.whl", hash = "sha256:861f35a13a451f94e301ce2bec7cac63e881232ccce7ed67fab9b5df4d3beaa1"},
-    {file = "cachetools-5.3.2.tar.gz", hash = "sha256:086ee420196f7b2ab9ca2db2520aca326318b68fe5ba8bc4d49cca91add450f2"},
+    {file = "cachetools-5.3.3-py3-none-any.whl", hash = "sha256:0abad1021d3f8325b2fc1d2e9c8b9c9d57b04c3932657a72465447332c24d945"},
+    {file = "cachetools-5.3.3.tar.gz", hash = "sha256:ba29e2dfa0b8b556606f097407ed1aa62080ee108ab0dc5ec9d6a723a007d105"},
 ]
 
 [[package]]
@@ -735,7 +735,7 @@ files = [
 name = "chroma-hnswlib"
 version = "0.7.3"
 description = "Chromas fork of hnswlib"
-optional = true
+optional = false
 python-versions = "*"
 files = [
     {file = "chroma-hnswlib-0.7.3.tar.gz", hash = "sha256:b6137bedde49fffda6af93b0297fe00429fc61e5a072b1ed9377f909ed95a932"},
@@ -770,13 +770,13 @@ numpy = "*"
 
 [[package]]
 name = "chromadb"
-version = "0.4.23"
+version = "0.4.24"
 description = "Chroma."
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "chromadb-0.4.23-py3-none-any.whl", hash = "sha256:3d3c2ffb4ff560721e3daf8c1a3729fd149c551525b6f75543eddb81a4f29e16"},
-    {file = "chromadb-0.4.23.tar.gz", hash = "sha256:54d9a770640704c6cedc15317faab9fd45beb9833e7484c00037e7a8801a349f"},
+    {file = "chromadb-0.4.24-py3-none-any.whl", hash = "sha256:3a08e237a4ad28b5d176685bd22429a03717fe09d35022fb230d516108da01da"},
+    {file = "chromadb-0.4.24.tar.gz", hash = "sha256:a5c80b4e4ad9b236ed2d4899a5b9e8002b489293f2881cb2cadab5b199ee1c72"},
 ]
 
 [package.dependencies]
@@ -838,7 +838,7 @@ files = [
 name = "coloredlogs"
 version = "15.0.1"
 description = "Colored terminal output for Python's logging module"
-optional = true
+optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 files = [
     {file = "coloredlogs-15.0.1-py2.py3-none-any.whl", hash = "sha256:612ee75c546f53e92e70049c9dbfcc18c935a2b9a53b66085ce9ef6a6e5c0934"},
@@ -855,7 +855,7 @@ cron = ["capturer (>=2.4)"]
 name = "contextlib2"
 version = "21.6.0"
 description = "Backports and enhancements for the contextlib module"
-optional = true
+optional = false
 python-versions = ">=3.6"
 files = [
     {file = "contextlib2-21.6.0-py2.py3-none-any.whl", hash = "sha256:3fbdb64466afd23abaf6c977627b75b6139a5a3e8ce38405c5b413aed7a0471f"},
@@ -866,7 +866,7 @@ files = [
 name = "crewai-tools"
 version = "0.0.12"
 description = "Set of tools for the crewAI framework"
-optional = true
+optional = false
 python-versions = ">=3.10,<=3.13"
 files = [
     {file = "crewai_tools-0.0.12-py3-none-any.whl", hash = "sha256:bce413ddc6fad664b6a15ba44f1c49eddc2d793428a8d7515c33a8ffa81c7965"},
@@ -890,7 +890,7 @@ requests = ">=2.31.0,<3.0.0"
 name = "cryptography"
 version = "42.0.5"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "cryptography-42.0.5-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:a30596bae9403a342c978fb47d9b0ee277699fa53bbafad14706af51fe543d16"},
@@ -978,7 +978,7 @@ typing-inspect = ">=0.4.0,<1"
 name = "decorator"
 version = "5.1.1"
 description = "Decorators for Humans"
-optional = true
+optional = false
 python-versions = ">=3.5"
 files = [
     {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
@@ -1017,7 +1017,7 @@ dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "sphinx (<2)", "tox"]
 name = "deprecation"
 version = "2.1.0"
 description = "A library to handle automated deprecations"
-optional = true
+optional = false
 python-versions = "*"
 files = [
     {file = "deprecation-2.1.0-py2.py3-none-any.whl", hash = "sha256:a10811591210e1fb0e768a8c25517cabeabcba6f0bf96564f8ff45189f90b14a"},
@@ -1062,13 +1062,13 @@ files = [
 
 [[package]]
 name = "embedchain"
-version = "0.1.86"
+version = "0.1.88"
 description = "Simplest open source retrieval(RAG) framework"
-optional = true
+optional = false
 python-versions = ">=3.9,<=3.13"
 files = [
-    {file = "embedchain-0.1.86-py3-none-any.whl", hash = "sha256:675757451a6db7d9fc88ae1a32eff07a112f724de58c20e34d099950430f706f"},
-    {file = "embedchain-0.1.86.tar.gz", hash = "sha256:48dedd3637ba6009ac0cf2cf90954e4b26efd728f68adf32bd45bbc642a484ac"},
+    {file = "embedchain-0.1.88-py3-none-any.whl", hash = "sha256:a21ba405cc2f4d8bce633b43d2115c070b08afd108e1ab9d63f84ed3267e4306"},
+    {file = "embedchain-0.1.88.tar.gz", hash = "sha256:9925d6da25910be9eb6973928821ef6cbe4f784e38e0af16d87a46629a4e1f49"},
 ]
 
 [package.dependencies]
@@ -1141,7 +1141,7 @@ test = ["pytest (>=6)"]
 name = "fastapi"
 version = "0.110.0"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "fastapi-0.110.0-py3-none-any.whl", hash = "sha256:87a1f6fb632a218222c5984be540055346a8f5d8a68e8f6fb647b1dc9934de4b"},
@@ -1176,7 +1176,7 @@ typing = ["typing-extensions (>=4.8)"]
 name = "flatbuffers"
 version = "23.5.26"
 description = "The FlatBuffers serialization format for Python"
-optional = true
+optional = false
 python-versions = "*"
 files = [
     {file = "flatbuffers-23.5.26-py2.py3-none-any.whl", hash = "sha256:c0ff356da363087b915fde4b8b45bdda73432fc17cddb3c8157472eab1422ad1"},
@@ -1273,7 +1273,7 @@ files = [
 name = "fsspec"
 version = "2024.2.0"
 description = "File-system specification"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "fsspec-2024.2.0-py3-none-any.whl", hash = "sha256:817f969556fa5916bc682e02ca2045f96ff7f586d45110fcb76022063ad2c7d8"},
@@ -1325,7 +1325,7 @@ dev = ["flake8", "markdown", "twine", "wheel"]
 name = "gitdb"
 version = "4.0.11"
 description = "Git Object Database"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "gitdb-4.0.11-py3-none-any.whl", hash = "sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4"},
@@ -1339,7 +1339,7 @@ smmap = ">=3.0.1,<6"
 name = "gitpython"
 version = "3.1.42"
 description = "GitPython is a Python library used to interact with Git repositories"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "GitPython-3.1.42-py3-none-any.whl", hash = "sha256:1bf9cd7c9e7255f77778ea54359e54ac22a72a5b51288c457c881057b7bb9ecd"},
@@ -1356,7 +1356,7 @@ test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre
 name = "google-api-core"
 version = "2.17.1"
 description = "Google API client core library"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "google-api-core-2.17.1.tar.gz", hash = "sha256:9df18a1f87ee0df0bc4eea2770ebc4228392d8cc4066655b320e2cfccb15db95"},
@@ -1386,7 +1386,7 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 name = "google-auth"
 version = "2.28.1"
 description = "Google Authentication Library"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "google-auth-2.28.1.tar.gz", hash = "sha256:34fc3046c257cedcf1622fc4b31fc2be7923d9b4d44973d481125ecc50d83885"},
@@ -1409,7 +1409,7 @@ requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
 name = "google-cloud-aiplatform"
 version = "1.42.1"
 description = "Vertex AI API client library"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "google-cloud-aiplatform-1.42.1.tar.gz", hash = "sha256:679068e068e29059d673a6410483fea762286fa07739d684fb1b4626698e0805"},
@@ -1449,7 +1449,7 @@ xai = ["tensorflow (>=2.3.0,<3.0.0dev)"]
 name = "google-cloud-bigquery"
 version = "3.17.2"
 description = "Google BigQuery API client library"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "google-cloud-bigquery-3.17.2.tar.gz", hash = "sha256:6e1cf669a40e567ab3289c7b5f2056363da9fcb85d9a4736ee90240d4a7d84ea"},
@@ -1479,7 +1479,7 @@ tqdm = ["tqdm (>=4.7.4,<5.0.0dev)"]
 name = "google-cloud-core"
 version = "2.4.1"
 description = "Google Cloud API client core library"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "google-cloud-core-2.4.1.tar.gz", hash = "sha256:9b7749272a812bde58fff28868d0c5e2f585b82f37e09a1f6ed2d4d10f134073"},
@@ -1497,7 +1497,7 @@ grpc = ["grpcio (>=1.38.0,<2.0dev)", "grpcio-status (>=1.38.0,<2.0.dev0)"]
 name = "google-cloud-resource-manager"
 version = "1.12.2"
 description = "Google Cloud Resource Manager API client library"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "google-cloud-resource-manager-1.12.2.tar.gz", hash = "sha256:2ede446a5087b236f0e1fb39cca3791bae97eb0d9125057401454b190d5572ee"},
@@ -1515,7 +1515,7 @@ protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4
 name = "google-cloud-storage"
 version = "2.14.0"
 description = "Google Cloud Storage API client library"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "google-cloud-storage-2.14.0.tar.gz", hash = "sha256:2d23fcf59b55e7b45336729c148bb1c464468c69d5efbaee30f7201dd90eb97e"},
@@ -1537,7 +1537,7 @@ protobuf = ["protobuf (<5.0.0dev)"]
 name = "google-crc32c"
 version = "1.5.0"
 description = "A python wrapper of the C library 'Google CRC32C'"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "google-crc32c-1.5.0.tar.gz", hash = "sha256:89284716bc6a5a415d4eaa11b1726d2d60a0cd12aadf5439828353662ede9dd7"},
@@ -1617,7 +1617,7 @@ testing = ["pytest"]
 name = "google-resumable-media"
 version = "2.7.0"
 description = "Utilities for Google Media Downloads and Resumable Uploads"
-optional = true
+optional = false
 python-versions = ">= 3.7"
 files = [
     {file = "google-resumable-media-2.7.0.tar.gz", hash = "sha256:5f18f5fa9836f4b083162064a1c2c98c17239bfda9ca50ad970ccf905f3e625b"},
@@ -1653,7 +1653,7 @@ grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
 name = "gptcache"
 version = "0.1.43"
 description = "GPTCache, a powerful caching library that can be used to speed up and lower the cost of chat applications that rely on the LLM service. GPTCache works as a memcache for AIGC applications, similar to how Redis works for traditional applications."
-optional = true
+optional = false
 python-versions = ">=3.8.1"
 files = [
     {file = "gptcache-0.1.43-py3-none-any.whl", hash = "sha256:9c557ec9cc14428942a0ebf1c838520dc6d2be801d67bb6964807043fc2feaf5"},
@@ -1754,7 +1754,7 @@ colorama = ">=0.4"
 name = "grpc-google-iam-v1"
 version = "0.13.0"
 description = "IAM API client library"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "grpc-google-iam-v1-0.13.0.tar.gz", hash = "sha256:fad318608b9e093258fbf12529180f400d1c44453698a33509cc6ecf005b294e"},
@@ -1770,7 +1770,7 @@ protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4
 name = "grpcio"
 version = "1.62.0"
 description = "HTTP/2-based RPC framework"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "grpcio-1.62.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:136ffd79791b1eddda8d827b607a6285474ff8a1a5735c4947b58c481e5e4271"},
@@ -1836,7 +1836,7 @@ protobuf = ["grpcio-tools (>=1.62.0)"]
 name = "grpcio-status"
 version = "1.62.0"
 description = "Status proto mapping for gRPC"
-optional = true
+optional = false
 python-versions = ">=3.6"
 files = [
     {file = "grpcio-status-1.62.0.tar.gz", hash = "sha256:0d693e9c09880daeaac060d0c3dba1ae470a43c99e5d20dfeafd62cf7e08a85d"},
@@ -1884,7 +1884,7 @@ trio = ["trio (>=0.22.0,<0.25.0)"]
 name = "httptools"
 version = "0.6.1"
 description = "A collection of framework independent HTTP protocol utils."
-optional = true
+optional = false
 python-versions = ">=3.8.0"
 files = [
     {file = "httptools-0.6.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d2f6c3c4cb1948d912538217838f6e9960bc4a521d7f9b323b3da579cd14532f"},
@@ -1954,13 +1954,13 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.20.3"
+version = "0.21.1"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
-optional = true
+optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "huggingface_hub-0.20.3-py3-none-any.whl", hash = "sha256:d988ae4f00d3e307b0c80c6a05ca6dbb7edba8bba3079f74cda7d9c2e562a7b6"},
-    {file = "huggingface_hub-0.20.3.tar.gz", hash = "sha256:94e7f8e074475fbc67d6a71957b678e1b4a74ff1b64a644fd6cbb83da962d05d"},
+    {file = "huggingface_hub-0.21.1-py3-none-any.whl", hash = "sha256:b40dd1dc5c589b7c73178f5f17996bac516524dce83f16d5219a83e33a565712"},
+    {file = "huggingface_hub-0.21.1.tar.gz", hash = "sha256:c458ae6b3e8e197472c4ef01d8cc5f8b3ddb70e9288afcd494753d832dac3a70"},
 ]
 
 [package.dependencies]
@@ -1977,18 +1977,19 @@ all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi",
 cli = ["InquirerPy (==0.3.4)"]
 dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+hf-transfer = ["hf-transfer (>=0.1.4)"]
 inference = ["aiohttp", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)"]
 quality = ["mypy (==1.5.1)", "ruff (>=0.1.3)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
 testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
-torch = ["torch"]
+torch = ["safetensors", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
 name = "humanfriendly"
 version = "10.0"
 description = "Human friendly output for text interfaces using Python"
-optional = true
+optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 files = [
     {file = "humanfriendly-10.0-py2.py3-none-any.whl", hash = "sha256:1697e1a8a8f550fd43c2865cd84542fc175a61dcb779b6fee18cf6b6ccba1477"},
@@ -2046,7 +2047,7 @@ testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs
 name = "importlib-resources"
 version = "6.1.2"
 description = "Read resources from Python packages"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "importlib_resources-6.1.2-py3-none-any.whl", hash = "sha256:9a0a862501dc38b68adebc82970140c9e4209fc99601782925178f8386339938"},
@@ -2148,7 +2149,7 @@ files = [
 name = "kubernetes"
 version = "29.0.0"
 description = "Kubernetes python client"
-optional = true
+optional = false
 python-versions = ">=3.6"
 files = [
     {file = "kubernetes-29.0.0-py2.py3-none-any.whl", hash = "sha256:ab8cb0e0576ccdfb71886366efb102c6a20f268d817be065ce7f9909c631e43e"},
@@ -2174,7 +2175,7 @@ adal = ["adal (>=1.0.2)"]
 name = "lancedb"
 version = "0.5.7"
 description = "lancedb"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "lancedb-0.5.7-py3-none-any.whl", hash = "sha256:6169966f715ef530be545950e1aaf9f3f160967e4ba7456cd67c9f30f678095d"},
@@ -2271,13 +2272,13 @@ extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.
 
 [[package]]
 name = "langchain-core"
-version = "0.1.26"
+version = "0.1.27"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "langchain_core-0.1.26-py3-none-any.whl", hash = "sha256:4f54cd26c27473172d7a214a5507a4c0e3255c6d8c25d9087afdc967f5588516"},
-    {file = "langchain_core-0.1.26.tar.gz", hash = "sha256:6186758d62015723aac67ef1a2055695d03e82c4dd4074217975b0c62faf4b17"},
+    {file = "langchain_core-0.1.27-py3-none-any.whl", hash = "sha256:68eb89dc4a932baf4fb6b4b75b7119eec9e5405e892d2137e9fe0a1d24a40d0c"},
+    {file = "langchain_core-0.1.27.tar.gz", hash = "sha256:698414223525c0bc130d85a614e1493905d588ab72fe0c9ad3b537b1dc62067f"},
 ]
 
 [package.dependencies]
@@ -2312,13 +2313,13 @@ tiktoken = ">=0.5.2,<0.6.0"
 
 [[package]]
 name = "langsmith"
-version = "0.1.8"
+version = "0.1.10"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "langsmith-0.1.8-py3-none-any.whl", hash = "sha256:f4320fd80ec9d311a648e7d4c44e0814e6e5454772c5026f40db0307bc07e287"},
-    {file = "langsmith-0.1.8.tar.gz", hash = "sha256:ab5f1cdfb7d418109ea506d41928fb8708547db2f6c7f7da7cfe997f3c55767b"},
+    {file = "langsmith-0.1.10-py3-none-any.whl", hash = "sha256:2997a80aea60ed235d83502a7ccdc1f62ffb4dd6b3b7dd4218e8fa4de68a6725"},
+    {file = "langsmith-0.1.10.tar.gz", hash = "sha256:13e7e8b52e694aa4003370cefbb9e79cce3540c65dbf1517902bf7aa4dbbb653"},
 ]
 
 [package.dependencies]
@@ -2330,7 +2331,7 @@ requests = ">=2,<3"
 name = "mako"
 version = "1.3.2"
 description = "A super-fast templating language that borrows the best ideas from the existing templating languages."
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "Mako-1.3.2-py3-none-any.whl", hash = "sha256:32a99d70754dfce237019d17ffe4a282d2d3351b9c476e90d8a60e63f133b80c"},
@@ -2455,22 +2456,21 @@ files = [
 
 [[package]]
 name = "marshmallow"
-version = "3.20.2"
+version = "3.21.0"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "marshmallow-3.20.2-py3-none-any.whl", hash = "sha256:c21d4b98fee747c130e6bc8f45c4b3199ea66bc00c12ee1f639f0aeca034d5e9"},
-    {file = "marshmallow-3.20.2.tar.gz", hash = "sha256:4c1daff273513dc5eb24b219a8035559dc573c8f322558ef85f5438ddd1236dd"},
+    {file = "marshmallow-3.21.0-py3-none-any.whl", hash = "sha256:e7997f83571c7fd476042c2c188e4ee8a78900ca5e74bd9c8097afa56624e9bd"},
+    {file = "marshmallow-3.21.0.tar.gz", hash = "sha256:20f53be28c6e374a711a16165fb22a8dc6003e3f7cda1285e3ca777b9193885b"},
 ]
 
 [package.dependencies]
 packaging = ">=17.0"
 
 [package.extras]
-dev = ["pre-commit (>=2.4,<4.0)", "pytest", "pytz", "simplejson", "tox"]
-docs = ["alabaster (==0.7.15)", "autodocsumm (==0.2.12)", "sphinx (==7.2.6)", "sphinx-issues (==3.0.1)", "sphinx-version-warning (==1.1.2)"]
-lint = ["pre-commit (>=2.4,<4.0)"]
+dev = ["marshmallow[tests]", "pre-commit (>=3.5,<4.0)", "tox"]
+docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.2.6)", "sphinx-issues (==4.0.0)", "sphinx-version-warning (==1.1.2)"]
 tests = ["pytest", "pytz", "simplejson"]
 
 [[package]]
@@ -2527,17 +2527,18 @@ min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4)", "ghp-imp
 
 [[package]]
 name = "mkdocs-autorefs"
-version = "0.5.0"
+version = "1.0.0"
 description = "Automatically link across pages in MkDocs."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "mkdocs_autorefs-0.5.0-py3-none-any.whl", hash = "sha256:7930fcb8ac1249f10e683967aeaddc0af49d90702af111a5e390e8b20b3d97ff"},
-    {file = "mkdocs_autorefs-0.5.0.tar.gz", hash = "sha256:9a5054a94c08d28855cfab967ada10ed5be76e2bfad642302a610b252c3274c0"},
+    {file = "mkdocs_autorefs-1.0.0-py3-none-any.whl", hash = "sha256:2b6d288f0582589d1be7c99ce4470c8e7c5077892014051ff0d4ff574a73dbe8"},
+    {file = "mkdocs_autorefs-1.0.0.tar.gz", hash = "sha256:1b20db41cade632b07b7a73dee818977b52e869c9deb438f6f20e2896ff01859"},
 ]
 
 [package.dependencies]
 Markdown = ">=3.3"
+markupsafe = ">=2.0.1"
 mkdocs = ">=1.1"
 
 [[package]]
@@ -2625,7 +2626,7 @@ mkdocstrings = ">=0.20"
 name = "mmh3"
 version = "4.1.0"
 description = "Python extension for MurmurHash (MurmurHash3), a set of fast and robust hash functions."
-optional = true
+optional = false
 python-versions = "*"
 files = [
     {file = "mmh3-4.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:be5ac76a8b0cd8095784e51e4c1c9c318c19edcd1709a06eb14979c8d850c31a"},
@@ -2717,7 +2718,7 @@ test = ["mypy (>=1.0)", "pytest (>=7.0.0)"]
 name = "monotonic"
 version = "1.6"
 description = "An implementation of time.monotonic() for Python 2 & < 3.3"
-optional = true
+optional = false
 python-versions = "*"
 files = [
     {file = "monotonic-1.6-py2.py3-none-any.whl", hash = "sha256:68687e19a14f11f26d140dd5c86f3dba4bf5df58003000ed467e0e2a69bca96c"},
@@ -2728,7 +2729,7 @@ files = [
 name = "mpmath"
 version = "1.3.0"
 description = "Python library for arbitrary-precision floating-point arithmetic"
-optional = true
+optional = false
 python-versions = "*"
 files = [
     {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"},
@@ -2844,7 +2845,7 @@ files = [
 name = "mutagen"
 version = "1.47.0"
 description = "read and write audio tags for many formats"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "mutagen-1.47.0-py3-none-any.whl", hash = "sha256:edd96f50c5907a9539d8e5bba7245f62c9f520aef333d13392a79a4f70aca719"},
@@ -2925,7 +2926,7 @@ files = [
 name = "oauthlib"
 version = "3.2.2"
 description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
-optional = true
+optional = false
 python-versions = ">=3.6"
 files = [
     {file = "oauthlib-3.2.2-py3-none-any.whl", hash = "sha256:8139f29aac13e25d502680e9e19963e83f16838d48a0d71c287fe40e7067fbca"},
@@ -2941,7 +2942,7 @@ signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
 name = "onnxruntime"
 version = "1.17.1"
 description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
-optional = true
+optional = false
 python-versions = "*"
 files = [
     {file = "onnxruntime-1.17.1-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:d43ac17ac4fa3c9096ad3c0e5255bb41fd134560212dc124e7f52c3159af5d21"},
@@ -3035,7 +3036,7 @@ opentelemetry-proto = "1.23.0"
 name = "opentelemetry-exporter-otlp-proto-grpc"
 version = "1.23.0"
 description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "opentelemetry_exporter_otlp_proto_grpc-1.23.0-py3-none-any.whl", hash = "sha256:40f9e3e7761eb34f2a1001f4543028783ac26e2db27e420d5374f2cca0182dad"},
@@ -3081,7 +3082,7 @@ test = ["responses (>=0.22.0,<0.25)"]
 name = "opentelemetry-instrumentation"
 version = "0.44b0"
 description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "opentelemetry_instrumentation-0.44b0-py3-none-any.whl", hash = "sha256:79560f386425176bcc60c59190064597096114c4a8e5154f1cb281bb4e47d2fc"},
@@ -3097,7 +3098,7 @@ wrapt = ">=1.0.0,<2.0.0"
 name = "opentelemetry-instrumentation-asgi"
 version = "0.44b0"
 description = "ASGI instrumentation for OpenTelemetry"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "opentelemetry_instrumentation_asgi-0.44b0-py3-none-any.whl", hash = "sha256:0d95c84a8991008c8a8ac35e15d43cc7768a5bb46f95f129e802ad2990d7c366"},
@@ -3119,7 +3120,7 @@ test = ["opentelemetry-instrumentation-asgi[instruments]", "opentelemetry-test-u
 name = "opentelemetry-instrumentation-fastapi"
 version = "0.44b0"
 description = "OpenTelemetry FastAPI Instrumentation"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "opentelemetry_instrumentation_fastapi-0.44b0-py3-none-any.whl", hash = "sha256:4441482944bea6676816668d56deb94af990e8c6e9582c581047e5d84c91d3c9"},
@@ -3182,7 +3183,7 @@ files = [
 name = "opentelemetry-util-http"
 version = "0.44b0"
 description = "Web util for OpenTelemetry"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "opentelemetry_util_http-0.44b0-py3-none-any.whl", hash = "sha256:ff018ab6a2fa349537ff21adcef99a294248b599be53843c44f367aef6bccea5"},
@@ -3252,7 +3253,7 @@ files = [
 name = "overrides"
 version = "7.7.0"
 description = "A decorator to automatically detect mismatch when overriding a method."
-optional = true
+optional = false
 python-versions = ">=3.6"
 files = [
     {file = "overrides-7.7.0-py3-none-any.whl", hash = "sha256:c7ed9d062f78b8e4c1a7b70bd8796b35ead4d9f510227ef9c5dc7626c60d7e49"},
@@ -3410,7 +3411,7 @@ testing = ["pytest", "pytest-benchmark"]
 name = "posthog"
 version = "3.4.2"
 description = "Integrate PostHog into any python application."
-optional = true
+optional = false
 python-versions = "*"
 files = [
     {file = "posthog-3.4.2-py2.py3-none-any.whl", hash = "sha256:c7e79b2e585d16e93749874bcbcdad78d857037398ce0d8d6c474a04d0bd3bbe"},
@@ -3451,7 +3452,7 @@ virtualenv = ">=20.10.0"
 name = "proto-plus"
 version = "1.23.0"
 description = "Beautiful, Pythonic protocol buffers."
-optional = true
+optional = false
 python-versions = ">=3.6"
 files = [
     {file = "proto-plus-1.23.0.tar.gz", hash = "sha256:89075171ef11988b3fa157f5dbd8b9cf09d65fffee97e29ce403cd8defba19d2"},
@@ -3488,7 +3489,7 @@ files = [
 name = "pulsar-client"
 version = "3.4.0"
 description = "Apache Pulsar Python client library"
-optional = true
+optional = false
 python-versions = "*"
 files = [
     {file = "pulsar_client-3.4.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:ebf99db5244ff69479283b25621b070492acc4bb643d162d86b90387cb6fdb2a"},
@@ -3535,7 +3536,7 @@ functions = ["apache-bookkeeper-client (>=4.16.1)", "grpcio (>=1.60.0)", "promet
 name = "py"
 version = "1.11.0"
 description = "library with cross-python path, ini-parsing, io, code, log facilities"
-optional = true
+optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 files = [
     {file = "py-1.11.0-py2.py3-none-any.whl", hash = "sha256:607c53218732647dff4acdfcd50cb62615cedf612e72d1724fb1a0cc6405b378"},
@@ -3546,7 +3547,7 @@ files = [
 name = "pyarrow"
 version = "15.0.0"
 description = "Python library for Apache Arrow"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "pyarrow-15.0.0-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:0a524532fd6dd482edaa563b686d754c70417c2f72742a8c990b322d4c03a15d"},
@@ -3594,7 +3595,7 @@ numpy = ">=1.16.6,<2"
 name = "pyasn1"
 version = "0.5.1"
 description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
-optional = true
+optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
 files = [
     {file = "pyasn1-0.5.1-py2.py3-none-any.whl", hash = "sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58"},
@@ -3605,7 +3606,7 @@ files = [
 name = "pyasn1-modules"
 version = "0.3.0"
 description = "A collection of ASN.1-based protocols modules"
-optional = true
+optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
 files = [
     {file = "pyasn1_modules-0.3.0-py2.py3-none-any.whl", hash = "sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d"},
@@ -3630,7 +3631,7 @@ files = [
 name = "pycryptodomex"
 version = "3.20.0"
 description = "Cryptographic library for Python"
-optional = true
+optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 files = [
     {file = "pycryptodomex-3.20.0-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:645bd4ca6f543685d643dadf6a856cc382b654cc923460e3a10a49c1b3832aeb"},
@@ -3669,13 +3670,13 @@ files = [
 
 [[package]]
 name = "pydantic"
-version = "2.6.2"
+version = "2.6.3"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pydantic-2.6.2-py3-none-any.whl", hash = "sha256:37a5432e54b12fecaa1049c5195f3d860a10e01bdfd24f1840ef14bd0d3aeab3"},
-    {file = "pydantic-2.6.2.tar.gz", hash = "sha256:a09be1c3d28f3abe37f8a78af58284b236a92ce520105ddc91a6d29ea1176ba7"},
+    {file = "pydantic-2.6.3-py3-none-any.whl", hash = "sha256:72c6034df47f46ccdf81869fddb81aade68056003900a8724a4f160700016a2a"},
+    {file = "pydantic-2.6.3.tar.gz", hash = "sha256:e07805c4c7f5c6826e33a1d4c9d47950d7eaf34868e2690f8594d2e30241f11f"},
 ]
 
 [package.dependencies]
@@ -3792,7 +3793,7 @@ files = [
 name = "pygithub"
 version = "1.59.1"
 description = "Use the full Github API v3"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "PyGithub-1.59.1-py3-none-any.whl", hash = "sha256:3d87a822e6c868142f0c2c4bf16cce4696b5a7a4d142a7bd160e1bdf75bc54a9"},
@@ -3824,7 +3825,7 @@ windows-terminal = ["colorama (>=0.4.6)"]
 name = "pyjwt"
 version = "2.8.0"
 description = "JSON Web Token implementation in Python"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "PyJWT-2.8.0-py3-none-any.whl", hash = "sha256:59127c392cc44c2da5bb3192169a91f429924e17aff6534d70fdc02ab3e04320"},
@@ -3844,7 +3845,7 @@ tests = ["coverage[toml] (==5.0.4)", "pytest (>=6.0.0,<7.0.0)"]
 name = "pylance"
 version = "0.9.18"
 description = "python wrapper for Lance columnar format"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "pylance-0.9.18-cp38-abi3-macosx_10_15_x86_64.whl", hash = "sha256:fe2445d922c594d90e89111385106f6b152caab27996217db7bb4b8947eb0bea"},
@@ -3886,7 +3887,7 @@ extra = ["pygments (>=2.12)"]
 name = "pynacl"
 version = "1.5.0"
 description = "Python binding to the Networking and Cryptography (NaCl) library"
-optional = true
+optional = false
 python-versions = ">=3.6"
 files = [
     {file = "PyNaCl-1.5.0-cp36-abi3-macosx_10_10_universal2.whl", hash = "sha256:401002a4aaa07c9414132aaed7f6836ff98f59277a234704ff66878c2ee4a0d1"},
@@ -3912,7 +3913,7 @@ tests = ["hypothesis (>=3.27.0)", "pytest (>=3.2.1,!=3.3.0)"]
 name = "pypdf"
 version = "3.17.4"
 description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
-optional = true
+optional = false
 python-versions = ">=3.6"
 files = [
     {file = "pypdf-3.17.4-py3-none-any.whl", hash = "sha256:6aa0f61b33779b64486de3f42835d3668badd48dac4a536aeb87da187a5eacd2"},
@@ -3930,7 +3931,7 @@ image = ["Pillow (>=8.0.0)"]
 name = "pypika"
 version = "0.48.9"
 description = "A SQL query builder API for Python"
-optional = true
+optional = false
 python-versions = "*"
 files = [
     {file = "PyPika-0.48.9.tar.gz", hash = "sha256:838836a61747e7c8380cd1b7ff638694b7a7335345d0f559b04b2cd832ad5378"},
@@ -3940,7 +3941,7 @@ files = [
 name = "pyproject-hooks"
 version = "1.0.0"
 description = "Wrappers to call pyproject.toml-based build backend hooks."
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "pyproject_hooks-1.0.0-py3-none-any.whl", hash = "sha256:283c11acd6b928d2f6a7c73fa0d01cb2bdc5f07c57a2eeb6e83d5e56b97976f8"},
@@ -3954,7 +3955,7 @@ tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
 name = "pyreadline3"
 version = "3.4.1"
 description = "A python implementation of GNU readline."
-optional = true
+optional = false
 python-versions = "*"
 files = [
     {file = "pyreadline3-3.4.1-py3-none-any.whl", hash = "sha256:b0efb6516fd4fb07b45949053826a62fa4cb353db5be2bbb4a7aa1fdd1e345fb"},
@@ -3983,7 +3984,7 @@ dev = ["twine (>=3.4.1)"]
 name = "pysbd"
 version = "0.3.4"
 description = "pysbd (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box across many languages."
-optional = true
+optional = false
 python-versions = ">=3"
 files = [
     {file = "pysbd-0.3.4-py3-none-any.whl", hash = "sha256:cd838939b7b0b185fcf86b0baf6636667dfb6e474743beeff878e9f42e022953"},
@@ -4058,7 +4059,7 @@ cli = ["click (>=5.0)"]
 name = "pytube"
 version = "15.0.0"
 description = "Python 3 library for downloading YouTube Videos."
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "pytube-15.0.0-py3-none-any.whl", hash = "sha256:07b9904749e213485780d7eb606e5e5b8e4341aa4dccf699160876da00e12d78"},
@@ -4142,7 +4143,7 @@ pyyaml = "*"
 name = "ratelimiter"
 version = "1.2.0.post0"
 description = "Simple python rate limiting object"
-optional = true
+optional = false
 python-versions = "*"
 files = [
     {file = "ratelimiter-1.2.0.post0-py3-none-any.whl", hash = "sha256:a52be07bc0bb0b3674b4b304550f10c769bbb00fead3072e035904474259809f"},
@@ -4279,7 +4280,7 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 name = "requests-oauthlib"
 version = "1.3.1"
 description = "OAuthlib authentication support for Requests."
-optional = true
+optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 files = [
     {file = "requests-oauthlib-1.3.1.tar.gz", hash = "sha256:75beac4a47881eeb94d5ea5d6ad31ef88856affe2332b9aafb52c6452ccf0d7a"},
@@ -4297,7 +4298,7 @@ rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
 name = "retry"
 version = "0.9.2"
 description = "Easy to use retry decorator."
-optional = true
+optional = false
 python-versions = "*"
 files = [
     {file = "retry-0.9.2-py2.py3-none-any.whl", hash = "sha256:ccddf89761fa2c726ab29391837d4327f819ea14d244c232a1d24c67a2f98606"},
@@ -4330,7 +4331,7 @@ jupyter = ["ipywidgets (>=7.5.1,<9)"]
 name = "rsa"
 version = "4.9"
 description = "Pure-Python RSA implementation"
-optional = true
+optional = false
 python-versions = ">=3.6,<4"
 files = [
     {file = "rsa-4.9-py3-none-any.whl", hash = "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7"},
@@ -4344,7 +4345,7 @@ pyasn1 = ">=0.1.3"
 name = "schema"
 version = "0.7.5"
 description = "Simple data validation library"
-optional = true
+optional = false
 python-versions = "*"
 files = [
     {file = "schema-0.7.5-py2.py3-none-any.whl", hash = "sha256:f3ffdeeada09ec34bf40d7d79996d9f7175db93b7a5065de0faa7f41083c1e6c"},
@@ -4358,7 +4359,7 @@ contextlib2 = ">=0.5.5"
 name = "semver"
 version = "3.0.2"
 description = "Python helper for Semantic Versioning (https://semver.org)"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "semver-3.0.2-py3-none-any.whl", hash = "sha256:b1ea4686fe70b981f85359eda33199d60c53964284e0cfb4977d243e37cf4bf4"},
@@ -4385,7 +4386,7 @@ testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jar
 name = "shapely"
 version = "2.0.3"
 description = "Manipulation and analysis of geometric objects"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "shapely-2.0.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:af7e9abe180b189431b0f490638281b43b84a33a960620e6b2e8d3e3458b61a1"},
@@ -4453,7 +4454,7 @@ files = [
 name = "smmap"
 version = "5.0.1"
 description = "A pure Python implementation of a sliding window memory map manager"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "smmap-5.0.1-py3-none-any.whl", hash = "sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da"},
@@ -4475,7 +4476,7 @@ files = [
 name = "soupsieve"
 version = "2.5"
 description = "A modern CSS selector implementation for Beautiful Soup."
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "soupsieve-2.5-py3-none-any.whl", hash = "sha256:eaa337ff55a1579b6549dc679565eac1e3d000563bcb1c8ab0d0fefbc0c2cdc7"},
@@ -4573,7 +4574,7 @@ sqlcipher = ["sqlcipher3_binary"]
 name = "starlette"
 version = "0.36.3"
 description = "The little ASGI library that shines."
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "starlette-0.36.3-py3-none-any.whl", hash = "sha256:13d429aa93a61dc40bf503e8c801db1f1bca3dc706b10ef2434a36123568f044"},
@@ -4590,7 +4591,7 @@ full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.7
 name = "sympy"
 version = "1.12"
 description = "Computer algebra system (CAS) in Python"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "sympy-1.12-py3-none-any.whl", hash = "sha256:c3588cd4295d0c0f603d0f2ae780587e64e2efeedb3521e46b9bb1d08d184fa5"},
@@ -4688,7 +4689,7 @@ test = ["flake8", "isort", "pytest"]
 name = "tokenizers"
 version = "0.15.2"
 description = ""
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "tokenizers-0.15.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:52f6130c9cbf70544287575a985bf44ae1bda2da7e8c24e97716080593638012"},
@@ -4909,7 +4910,7 @@ socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 name = "uvicorn"
 version = "0.27.1"
 description = "The lightning-fast ASGI server."
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "uvicorn-0.27.1-py3-none-any.whl", hash = "sha256:5c89da2f3895767472a35556e539fd59f7edbe9b1e9c0e1c99eebeadc61838e4"},
@@ -4935,7 +4936,7 @@ standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)",
 name = "uvloop"
 version = "0.19.0"
 description = "Fast implementation of asyncio event loop on top of libuv"
-optional = true
+optional = false
 python-versions = ">=3.8.0"
 files = [
     {file = "uvloop-0.19.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:de4313d7f575474c8f5a12e163f6d89c0a878bc49219641d49e6f1444369a90e"},
@@ -5059,7 +5060,7 @@ watchmedo = ["PyYAML (>=3.10)"]
 name = "watchfiles"
 version = "0.21.0"
 description = "Simple, modern and high performance file watching and code reload in python."
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "watchfiles-0.21.0-cp310-cp310-macosx_10_7_x86_64.whl", hash = "sha256:27b4035013f1ea49c6c0b42d983133b136637a527e48c132d368eb19bf1ac6aa"},
@@ -5157,7 +5158,7 @@ files = [
 name = "websocket-client"
 version = "1.7.0"
 description = "WebSocket client for Python with low level API options"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "websocket-client-1.7.0.tar.gz", hash = "sha256:10e511ea3a8c744631d3bd77e61eb17ed09304c413ad42cf6ddfa4c7787e8fe6"},
@@ -5173,7 +5174,7 @@ test = ["websockets"]
 name = "websockets"
 version = "12.0"
 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "websockets-12.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d554236b2a2006e0ce16315c16eaa0d628dab009c33b63ea03f41c6107958374"},
@@ -5436,7 +5437,7 @@ multidict = ">=4.0"
 name = "youtube-transcript-api"
 version = "0.6.2"
 description = "This is an python API which allows you to get the transcripts/subtitles for a given YouTube video. It also works for automatically generated subtitles, supports translating subtitles and it does not require a headless browser, like other selenium based solutions do!"
-optional = true
+optional = false
 python-versions = "*"
 files = [
     {file = "youtube_transcript_api-0.6.2-py3-none-any.whl", hash = "sha256:019dbf265c6a68a0591c513fff25ed5a116ce6525832aefdfb34d4df5567121c"},
@@ -5450,7 +5451,7 @@ requests = "*"
 name = "yt-dlp"
 version = "2023.12.30"
 description = "A youtube-dl fork with additional features and patches"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "yt-dlp-2023.12.30.tar.gz", hash = "sha256:a11862e57721b0a0f0883dfeb5a4d79ba213a2d4c45e1880e9fd70f8e6570c38"},
@@ -5488,4 +5489,4 @@ tools = ["crewai-tools"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<=3.13"
-content-hash = "19e7c7cafad38a10f2bdcbb06914ca7048b1b78af2cba8c4acce7671cab95b88"
+content-hash = "4a5c829ecedb22d6b7282ad0a233dc47d3aeba456e9bf971529d56a18bb5b211"

pyproject.toml

@@ -1,7 +1,7 @@
 
 [tool.poetry]
 name = "crewai"
-version = "0.14.4"
+version = "0.16.0"
 description = "Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks."
 authors = ["Joao Moura <joao@crewai.com>"]
 readme = "README.md"
@@ -27,6 +27,7 @@ opentelemetry-exporter-otlp-proto-http = "^1.22.0"
 instructor = "^0.5.2"
 regex = "^2023.12.25"
 crewai-tools = { version = "^0.0.12", optional = true }
+click = "^8.1.7"
 
 [tool.poetry.extras]
 tools = ["crewai-tools"]
@@ -44,12 +45,14 @@ mkdocs-material = {extras = ["imaging"], version = "^9.5.7"}
 mkdocs-material-extensions = "^1.3.1"
 pillow = "^10.2.0"
 cairosvg = "^2.7.1"
+crewai_tools = "^0.0.12"
 
 [tool.isort]
 profile = "black"
 known_first_party = ["crewai"]
 
-
+[tool.poetry.scripts]
+crewai = "crewai.cli.cli:crewai"
 
 [tool.poetry.group.test.dependencies]
 pytest = "^8.0.0"

src/crewai/agent.py

@@ -1,8 +1,7 @@
 import os
 import uuid
-from typing import Any, List, Optional, Tuple
+from typing import Any, Dict, List, Optional, Tuple
 
-from crewai_tools import BaseTool as CrewAITool
 from langchain.agents.agent import RunnableAgent
 from langchain.agents.tools import tool as LangChainTool
 from langchain.memory import ConversationSummaryMemory
@@ -23,6 +22,7 @@ from pydantic_core import PydanticCustomError
 
 from crewai.agents import CacheHandler, CrewAgentExecutor, CrewAgentParser, ToolsHandler
 from crewai.utilities import I18N, Logger, Prompts, RPMController
+from crewai.utilities.token_counter_callback import TokenCalcHandler, TokenProcess
 
 
 class Agent(BaseModel):
@@ -51,7 +51,9 @@ class Agent(BaseModel):
     _logger: Logger = PrivateAttr()
     _rpm_controller: RPMController = PrivateAttr(default=None)
     _request_within_rpm_limit: Any = PrivateAttr(default=None)
+    _token_process: TokenProcess = TokenProcess()
 
+    formatting_errors: int = 0
     model_config = ConfigDict(arbitrary_types_allowed=True)
     id: UUID4 = Field(
         default_factory=uuid.uuid4,
@@ -123,8 +125,12 @@ class Agent(BaseModel):
         return self
 
     @model_validator(mode="after")
-    def check_agent_executor(self) -> "Agent":
-        """Check if the agent executor is set."""
+    def set_agent_executor(self) -> "Agent":
+        """set agent executor is set."""
+        if hasattr(self.llm, "model_name"):
+            self.llm.callbacks = [
+                TokenCalcHandler(self.llm.model_name, self._token_process)
+            ]
         if not self.agent_executor:
             self.set_cache_handler(self.cache_handler)
         return self
@@ -243,20 +249,20 @@ class Agent(BaseModel):
         )
 
         bind = self.llm.bind(stop=[self.i18n.slice("observation")])
-        inner_agent = agent_args | execution_prompt | bind | CrewAgentParser()
+        inner_agent = agent_args | execution_prompt | bind | CrewAgentParser(agent=self)
         self.agent_executor = CrewAgentExecutor(
             agent=RunnableAgent(runnable=inner_agent), **executor_args
         )
 
-    def _parse_tools(self, tools: List[Any]) -> List[LangChainTool]:
-        """Parse tools to be used for the task."""
-        tools_list = []
-        for tool in tools:
-            if isinstance(tool, CrewAITool):
-                tools_list.append(tool.to_langchain())
-            else:
-                tools_list.append(tool)
-        return tools_list
+    def interpolate_inputs(self, inputs: Dict[str, Any]) -> None:
+        """Interpolate inputs into the agent description and backstory."""
+        self.role = self.role.format(**inputs)
+        self.goal = self.goal.format(**inputs)
+        self.backstory = self.backstory.format(**inputs)
+
+    def increment_formatting_errors(self) -> None:
+        """Count the formatting errors of the agent."""
+        self.formatting_errors += 1
 
     def format_log_to_str(
         self,
@@ -271,6 +277,22 @@ class Agent(BaseModel):
             thoughts += f"\n{observation_prefix}{observation}\n{llm_prefix}"
         return thoughts
 
+    def _parse_tools(self, tools: List[Any]) -> List[LangChainTool]:
+        """Parse tools to be used for the task."""
+        # tentatively try to import from crewai_tools import BaseTool as CrewAITool
+        tools_list = []
+        try:
+            from crewai_tools import BaseTool as CrewAITool
+
+            for tool in tools:
+                if isinstance(tool, CrewAITool):
+                    tools_list.append(tool.to_langchain())
+                else:
+                    tools_list.append(tool)
+        except ModuleNotFoundError:
+            tools_list.append(tool)
+        return tools_list
+
     @staticmethod
     def __tools_names(tools) -> str:
         return ", ".join([t.name for t in tools])

src/crewai/agents/parser.py

@@ -1,4 +1,4 @@
-from typing import Union
+from typing import Any, Union
 
 from langchain.agents.output_parsers import ReActSingleInputOutputParser
 from langchain_core.agents import AgentAction, AgentFinish
@@ -34,6 +34,7 @@ class CrewAgentParser(ReActSingleInputOutputParser):
     """
 
     _i18n: I18N = I18N()
+    agent: Any = None
 
     def parse(self, text: str) -> Union[AgentAction, AgentFinish]:
         includes_answer = FINAL_ANSWER_ACTION in text
@@ -41,6 +42,7 @@ class CrewAgentParser(ReActSingleInputOutputParser):
 
         if includes_tool:
             if includes_answer:
+                self.agent.increment_formatting_errors()
                 raise OutputParserException(f"{FINAL_ANSWER_AND_TOOL_ERROR_MESSAGE}")
 
             return AgentAction("", "", text)
@@ -52,6 +54,7 @@ class CrewAgentParser(ReActSingleInputOutputParser):
 
         format = self._i18n.slice("format_without_tools")
         error = f"{format}"
+        self.agent.increment_formatting_errors()
         raise OutputParserException(
             error,
             observation=error,

src/crewai/crew.py

@@ -41,6 +41,7 @@ class Crew(BaseModel):
         full_output: Whether the crew should return the full output with all tasks outputs or just the final output.
         step_callback: Callback to be executed after each step for every agents execution.
         share_crew: Whether you want to share the complete crew infromation and execution with crewAI to make the library better, and allow us to train models.
+        inputs: Any inputs that the crew will use in tasks or agents, it will be interpolated in promtps.
     """
 
     __hash__ = object.__hash__  # type: ignore
@@ -53,6 +54,10 @@ class Crew(BaseModel):
     agents: List[Agent] = Field(default_factory=list)
     process: Process = Field(default=Process.sequential)
     verbose: Union[int, bool] = Field(default=0)
+    usage_metrics: Optional[dict] = Field(
+        default=None,
+        description="Metrics for the LLM usage during all tasks execution.",
+    )
     full_output: Optional[bool] = Field(
         default=False,
         description="Whether the crew should return the full output with all tasks outputs or just the final output.",
@@ -63,6 +68,10 @@ class Crew(BaseModel):
     function_calling_llm: Optional[Any] = Field(
         description="Language model that will run the agent.", default=None
     )
+    inputs: Optional[Dict[str, Any]] = Field(
+        description="Any inputs that the crew will use in tasks or agents, it will be interpolated in promtps.",
+        default={},
+    )
     config: Optional[Union[Json, Dict[str, Any]]] = Field(default=None)
     id: UUID4 = Field(default_factory=uuid.uuid4, frozen=True)
     share_crew: Optional[bool] = Field(default=False)
@@ -125,6 +134,15 @@ class Crew(BaseModel):
             )
         return self
 
+    @model_validator(mode="after")
+    def interpolate_inputs(self):
+        """Interpolates the inputs in the tasks and agents."""
+        for task in self.tasks:
+            task.interpolate_inputs(self.inputs)
+        for agent in self.agents:
+            agent.interpolate_inputs(self.inputs)
+        return self
+
     @model_validator(mode="after")
     def check_config(self):
         """Validates that the crew is properly configured with agents and tasks."""
@@ -187,14 +205,27 @@ class Crew(BaseModel):
                 agent.step_callback = self.step_callback
                 agent.create_agent_executor()
 
-        if self.process == Process.sequential:
-            return self._run_sequential_process()
-        if self.process == Process.hierarchical:
-            return self._run_hierarchical_process()
+        metrics = []
 
-        raise NotImplementedError(
-            f"The process '{self.process}' is not implemented yet."
-        )
+        if self.process == Process.sequential:
+            result = self._run_sequential_process()
+        elif self.process == Process.hierarchical:
+            result, manager_metrics = self._run_hierarchical_process()
+            metrics.append(manager_metrics)
+
+        else:
+            raise NotImplementedError(
+                f"The process '{self.process}' is not implemented yet."
+            )
+
+        metrics = metrics + [
+            agent._token_process.get_summary() for agent in self.agents
+        ]
+        self.usage_metrics = {
+            key: sum([m[key] for m in metrics if m is not None]) for key in metrics[0]
+        }
+
+        return result
 
     def _run_sequential_process(self) -> str:
         """Executes tasks sequentially and returns the final output."""
@@ -204,7 +235,8 @@ class Crew(BaseModel):
                 agents_for_delegation = [
                     agent for agent in self.agents if agent != task.agent
                 ]
-                task.tools += AgentTools(agents=agents_for_delegation).tools()
+                if len(self.agents) > 1 and len(agents_for_delegation) > 0:
+                    task.tools += AgentTools(agents=agents_for_delegation).tools()
 
             role = task.agent.role if task.agent is not None else "None"
             self._logger.log("debug", f"Working Agent: {role}")
@@ -247,7 +279,7 @@ class Crew(BaseModel):
             )
 
         self._finish_execution(task_output)
-        return self._format_output(task_output)
+        return self._format_output(task_output), manager._token_process.get_summary()
 
     def _format_output(self, output: str) -> str:
         """Formats the output of the crew execution."""

src/crewai/task.py

@@ -1,6 +1,6 @@
 import threading
 import uuid
-from typing import Any, List, Optional, Type
+from typing import Any, Dict, List, Optional, Type
 
 from langchain_openai import ChatOpenAI
 from pydantic import UUID4, BaseModel, Field, field_validator, model_validator
@@ -20,6 +20,8 @@ class Task(BaseModel):
 
     __hash__ = object.__hash__  # type: ignore
     used_tools: int = 0
+    tools_errors: int = 0
+    delegations: int = 0
     i18n: I18N = I18N()
     thread: threading.Thread = None
     description: str = Field(description="Description of the actual task.")
@@ -171,6 +173,20 @@ class Task(BaseModel):
             tasks_slices = [self.description, output]
         return "\n".join(tasks_slices)
 
+    def interpolate_inputs(self, inputs: Dict[str, Any]) -> None:
+        """Interpolate inputs into the task description and expected output."""
+        self.description = self.description.format(**inputs)
+        if self.expected_output:
+            self.expected_output = self.expected_output.format(**inputs)
+
+    def increment_tools_errors(self) -> None:
+        """Increment the tools errors counter."""
+        self.tools_errors += 1
+
+    def increment_delegations(self) -> None:
+        """Increment the delegations counter."""
+        self.delegations += 1
+
     def _export_output(self, result: str) -> Any:
         exported_result = result
         instructions = "I'm gonna convert this raw text into valid JSON."

src/crewai/telemtry/telemetry.py

@@ -46,7 +46,7 @@ class Telemetry:
             )
             self.provider = TracerProvider(resource=self.resource)
             processor = BatchSpanProcessor(
-                OTLPSpanExporter(endpoint=f"{telemetry_endpoint}/v1/traces", timeout=25)
+                OTLPSpanExporter(endpoint=f"{telemetry_endpoint}/v1/traces", timeout=15)
             )
             self.provider.add_span_processor(processor)
             self.ready = True

src/crewai/tools/tool_usage.py

@@ -73,11 +73,13 @@ class ToolUsage:
         if isinstance(calling, ToolUsageErrorException):
             error = calling.message
             self._printer.print(content=f"\n\n{error}\n", color="red")
+            self.task.increment_tools_errors()
             return error
         try:
             tool = self._select_tool(calling.tool_name)
         except Exception as e:
             error = getattr(e, "message", str(e))
+            self.task.increment_tools_errors()
             self._printer.print(content=f"\n\n{error}\n", color="red")
             return error
         return f"{self._use(tool_string=tool_string, tool=tool, calling=calling)}\n\n{self._i18n.slice('final_answer_format')}"
@@ -103,7 +105,7 @@ class ToolUsage:
                 result = self._format_result(result=result)
                 return result
             except Exception:
-                pass
+                self.task.increment_tools_errors()
 
         result = self.tools_handler.cache.read(
             tool=calling.tool_name, input=calling.arguments
@@ -111,6 +113,12 @@ class ToolUsage:
 
         if not result:
             try:
+                if calling.tool_name in [
+                    "Delegate work to co-worker",
+                    "Ask question to co-worker",
+                ]:
+                    self.task.increment_delegations()
+
                 if calling.arguments:
                     result = tool._run(**calling.arguments)
                 else:
@@ -125,8 +133,10 @@ class ToolUsage:
                     error = ToolUsageErrorException(
                         f'\n{error_message}.\nMoving one then. {self._i18n.slice("format").format(tool_names=self.tools_names)}'
                     ).message
+                    self.task.increment_tools_errors()
                     self._printer.print(content=f"\n\n{error_message}\n", color="red")
                     return error
+                self.task.increment_tools_errors()
                 return self.use(calling=calling, tool_string=tool_string)
 
             self.tools_handler.on_tool_use(calling=calling, output=result)
@@ -166,6 +176,7 @@ class ToolUsage:
         for tool in self.tools:
             if tool.name.lower().strip() == tool_name.lower().strip():
                 return tool
+        self.task.increment_tools_errors()
         raise Exception(f"Tool '{tool_name}' not found.")
 
     def _render(self) -> str:
@@ -218,6 +229,7 @@ class ToolUsage:
             self._run_attempts += 1
             if self._run_attempts > self._max_parsing_attempts:
                 self._telemetry.tool_usage_error(llm=self.llm)
+                self.task.increment_tools_errors()
                 self._printer.print(content=f"\n\n{e}\n", color="red")
                 return ToolUsageErrorException(
                     f'{self._i18n.errors("tool_usage_error")}\n{self._i18n.slice("format").format(tool_names=self.tools_names)}'

src/crewai/utilities/pydantic_schema_parser.py

@@ -27,7 +27,9 @@ class PydanticSchemaParser(BaseModel):
         field_type = field.annotation
         if get_origin(field_type) is list:
             list_item_type = get_args(field_type)[0]
-            if issubclass(list_item_type, BaseModel):
+            if isinstance(list_item_type, type) and issubclass(
+                list_item_type, BaseModel
+            ):
                 nested_schema = self._get_model_schema(list_item_type, depth + 1)
                 return f"List[\n{nested_schema}\n{' ' * 4 * depth}]"
             else:

src/crewai/utilities/token_counter_callback.py

@@ -0,0 +1,60 @@
+from typing import Any, Dict, List
+
+import tiktoken
+from langchain.callbacks.base import BaseCallbackHandler
+from langchain.schema import LLMResult
+
+
+class TokenProcess:
+    total_tokens: int = 0
+    prompt_tokens: int = 0
+    completion_tokens: int = 0
+    successful_requests: int = 0
+
+    def sum_prompt_tokens(self, tokens: int):
+        self.prompt_tokens = self.prompt_tokens + tokens
+        self.total_tokens = self.total_tokens + tokens
+
+    def sum_completion_tokens(self, tokens: int):
+        self.completion_tokens = self.completion_tokens + tokens
+        self.total_tokens = self.total_tokens + tokens
+
+    def sum_successful_requests(self, requests: int):
+        self.successful_requests = self.successful_requests + requests
+
+    def get_summary(self) -> str:
+        return {
+            "total_tokens": self.total_tokens,
+            "prompt_tokens": self.prompt_tokens,
+            "completion_tokens": self.completion_tokens,
+            "successful_requests": self.successful_requests,
+        }
+
+
+class TokenCalcHandler(BaseCallbackHandler):
+    model: str = ""
+    token_cost_process: TokenProcess
+
+    def __init__(self, model, token_cost_process):
+        self.model = model
+        self.token_cost_process = token_cost_process
+
+    def on_llm_start(
+        self, serialized: Dict[str, Any], prompts: List[str], **kwargs: Any
+    ) -> None:
+        if "gpt" in self.model:
+            encoding = tiktoken.encoding_for_model(self.model)
+        else:
+            encoding = tiktoken.get_encoding("cl100k_base")
+
+        if self.token_cost_process == None:
+            return
+
+        for prompt in prompts:
+            self.token_cost_process.sum_prompt_tokens(len(encoding.encode(prompt)))
+
+    async def on_llm_new_token(self, token: str, **kwargs) -> None:
+        self.token_cost_process.sum_completion_tokens(1)
+
+    def on_llm_end(self, response: LLMResult, **kwargs: Any) -> None:
+        self.token_cost_process.sum_successful_requests(1)

tests/agent_test.py

@@ -4,11 +4,13 @@ from unittest.mock import patch
 
 import pytest
 from langchain.tools import tool
+from langchain_core.exceptions import OutputParserException
 from langchain_openai import ChatOpenAI
 
 from crewai import Agent, Crew, Task
 from crewai.agents.cache import CacheHandler
 from crewai.agents.executor import CrewAgentExecutor
+from crewai.agents.parser import CrewAgentParser
 from crewai.tools.tool_calling import InstructorToolCalling
 from crewai.tools.tool_usage import ToolUsage
 from crewai.utilities import RPMController
@@ -184,7 +186,7 @@ def test_cache_hitting():
             agent=agent,
         )
         output = agent.execute_task(task)
-        assert output == "The result of the multiplication of 2 and 6 is 0."
+        assert output == "0"
         read.assert_called_with(
             tool="multiplier", input={"first_number": 2, "second_number": 6}
         )
@@ -416,7 +418,7 @@ def test_agent_without_max_rpm_respet_crew_rpm(capsys):
         moveon.return_value = True
         crew.kickoff()
         captured = capsys.readouterr()
-        assert "Action: get_final_answer" in captured.out
+        assert "get_final_answer" in captured.out
         assert "Max RPM reached, waiting for next minute to start." in captured.out
         moveon.assert_called_once()
 
@@ -576,3 +578,39 @@ def test_agent_function_calling_llm():
 
         crew.kickoff()
         private_mock.assert_called()
+
+
+def test_agent_count_formatting_error():
+    from unittest.mock import patch
+
+    agent1 = Agent(
+        role="test role",
+        goal="test goal",
+        backstory="test backstory",
+        verbose=True,
+    )
+
+    parser = CrewAgentParser()
+    parser.agent = agent1
+
+    with patch.object(Agent, "increment_formatting_errors") as mock_count_errors:
+        test_text = "This text does not match expected formats."
+        with pytest.raises(OutputParserException):
+            parser.parse(test_text)
+        mock_count_errors.assert_called_once()
+
+
+def test_agent_llm_uses_token_calc_handler_with_llm_has_model_name():
+    agent1 = Agent(
+        role="test role",
+        goal="test goal",
+        backstory="test backstory",
+        verbose=True,
+    )
+
+    assert len(agent1.llm.callbacks) == 1
+    assert agent1.llm.callbacks[0].__class__.__name__ == "TokenCalcHandler"
+    assert agent1.llm.callbacks[0].model == "gpt-4"
+    assert (
+        agent1.llm.callbacks[0].token_cost_process.__class__.__name__ == "TokenProcess"
+    )

tests/cassettes/test_agent_usage_metrics_are_captured_for_hierarchical_process.yaml

@@ -0,0 +1,983 @@
+interactions:
+- request:
+    body: '{"messages": [{"role": "user", "content": "You are Crew Manager.\nYou are
+      a seasoned manager with a knack for getting the best out of your team.\nYou
+      are also known for your ability to delegate work to the right people, and to
+      ask the right questions to get the best out of your team.\nEven though you don''t
+      perform tasks by yourself, you have a lot of experience in the field, which
+      allows you to properly evaluate the work of your team members.\n\nYour personal
+      goal is: Manage the team to complete the task in the best way possible.I have
+      access to ONLY the following tools, I can use only these, use one at time:\n\nDelegate
+      work to co-worker: Delegate work to co-worker(coworker: str, task: str, context:
+      str) - Delegate a specific task to one of the following co-workers: - Researcher\nThe
+      input to this tool should be the coworker, the task you want them to do, and
+      ALL necessary context to exectue the task, they know nothing about the task,
+      so share absolute everything you know, don''t reference things but instead explain
+      them.\nAsk question to co-worker: Ask question to co-worker(coworker: str, question:
+      str, context: str) - Ask a specific question to one of the following co-workers:
+      - Researcher\nThe input to this tool should be the coworker, the question you
+      have for them, and ALL necessary context to ask the question properly, they
+      know nothing about the question, so share absolute everything you know, don''t
+      reference things but instead explain them.\n\nTo use a tool I MUST use the exact
+      following format:\n\n```\nUse Tool: the tool I wanna use, should be one of [Delegate
+      work to co-worker, Ask question to co-worker] and absolute all relevant input
+      and context for using the tool, I must use only one tool at once.\nResult: [result
+      of the tool]\n```\n\nTo give my final answer I''ll use the exact following format:\n\n```\nFinal
+      Answer: [my expected final answer, entire content of my most complete final
+      answer goes here]\n```\nI MUST use these formats, my jobs depends on it!\n\nCurrent
+      Task: say howdy\nYour final answer must be: Howdy!\n\n Begin! This is VERY important
+      to you, your job depends on it!\n\n\n"}], "model": "gpt-4", "n": 1, "stop":
+      ["\nResult"], "stream": true, "temperature": 0.0}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, br
+      connection:
+      - keep-alive
+      content-length:
+      - '2223'
+      content-type:
+      - application/json
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.12.0
+      x-stainless-arch:
+      - arm64
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - MacOS
+      x-stainless-package-version:
+      - 1.12.0
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.11.7
+    method: POST
+    uri: https://api.openai.com/v1/chat/completions
+  response:
+    body:
+      string: 'data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"role":"assistant","content":""},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"Use"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+        Tool"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":":"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+        Delegate"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+        work"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+        to"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+        co"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"-worker"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"\n"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"cow"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"ork"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"er"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":":"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+        Research"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"er"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"\n"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"task"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":":"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+        say"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+        how"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"dy"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"\n"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"context"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":":"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+        We"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+        need"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+        to"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+        greet"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+        someone"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+        in"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+        a"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+        friendly"},"logprobs":null,"finish_reason":null}]}
+
+
+        data: {"id":"chatcmpl-8x6R80VTnILcsYYhu6Kcu2nH5g7dc","object":"chat.completion.chunk","created":1709096786,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":","},"logprobs":null,"finish_reason":null}]}
+
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         crew.kickoff()
-        == '1. "The Role of AI in Predicting and Managing Pandemics"\nHighlight: \nIn an era where global health crises can emerge from any corner of the world, the role of AI in predicting and managing pandemics has never been more critical. Through intelligent data gathering and predictive analytics, AI can potentially identify the onset of pandemics before they reach critical mass, offering a proactive solution to a reactive problem. This article explores the intersection of AI and epidemiology, delving into how this cutting-edge technology is revolutionizing our approach to global health crises.\n\n2. "AI and the Future of Work: Will Robots Take Our Jobs?"\nHighlight: \nThe rise of AI has sparked both excitement and apprehension about the future of work. Will robots replace us, or will they augment our capabilities? This article delves into the heart of this controversial issue, examining the potential of AI to disrupt job markets, transform industries, and redefine the concept of work. It\'s not just a question of job security—it\'s a discussion about the kind of world we want to live in.\n\n3. "AI in Art and Creativity: A New Frontier in Innovation"\nHighlight: \nArt and creativity, once seen as the exclusive domain of human expression, are being redefined by the advent of AI. From algorithmic compositions to AI-assisted design, this article explores the burgeoning field of AI in art and creativity. It\'s a journey into a new frontier of innovation, one where the lines between human creativity and artificial intelligence blur into an exciting, uncharted territory.\n\n4. "Ethics in AI: Balancing Innovation with Responsibility"\nHighlight: \nAs AI continues to permeate every facet of our lives, questions about its ethical implications grow louder. This article invites readers into a thoughtful exploration of the moral landscape of AI. It challenges us to balance the relentless pursuit of innovation with the weighty responsibilities that come with it, asking: How can we harness the power of AI without losing sight of our human values?\n\n5. "AI in Education: Personalizing Learning for the Next Generation"\nHighlight: \nEducation is poised for a transformation as AI enters the classroom, promising a future where learning is personalized, not generalized. This article delves into how AI can tailor educational experiences to individual learning styles, making education more effective and accessible. It\'s a glimpse into a future where AI is not just a tool for learning, but an active participant in shaping the educational journey of the next generation.'
+        == '1. "The Role of AI in Predictive Analysis"\nHighlight: AI is revolutionizing the way we understand and utilize data through predictive analysis. Complex algorithms can sift through vast amounts of information, predict future trends and assist businesses in making informed decisions. The article will delve into the intricate workings of AI in predictive analysis and how it is shaping industries from healthcare to finance.\n\nNotes: This topic will focus on the business aspect of AI and its transformative role in data analysis. Case studies from different industries can be used to illustrate the impact of AI in predictive analysis.\n\n2. "The Intersection of AI and Quantum Computing"\nHighlight: As we stand at the crossroads of AI and quantum computing, there’s an unprecedented potential for breakthroughs in processing speed and problem-solving capabilities. This article will explore this exciting intersection, revealing how the fusion of these two technologies can push the boundaries of what\'s possible.\n\nNotes: The article will provide a detailed overview of quantum computing and how its integration with AI can revolutionize various sectors. Real-world applications and future predictions will be included.\n\n3. "AI for Sustainable Development"\nHighlight: In an era where sustainability is a global priority, AI is emerging as a powerful tool in progressing towards this goal. From optimizing resource use to monitoring environmental changes, AI\'s role in sustainable development is multifaceted and transformative. This article will shed light on how AI is being utilized to promote a more sustainable future.\n\nNotes: This topic will delve into the environmental aspect of AI and its potential in promoting sustainable development. Examples of AI applications in different environmental contexts will be provided.\n\n4. "Ethical Implications of AI"\nHighlight: As AI permeates our society, it brings along a host of ethical dilemmas. From privacy concerns to accountability, the ethical implications of AI are as complex as they are critical. This article will take a deep dive into the ethical landscape of AI, exploring the pressing issues and potential solutions.\n\nNotes: This topic will take a philosophical and ethical approach, discussing the moral implications of AI use and how they can be mitigated. It will include a wide range of perspectives from experts in the field.\n\n5. "AI in Art and Creativity"\nHighlight: The world of art is no stranger to the transformative power of AI. From creating original artworks to enhancing creative processes, AI is redefining the boundaries of art and creativity. This article will take you on a journey through the fascinating intersection of AI and creativity, showcasing the revolutionary impact of this technology in the art world.\n\nNotes: This article will explore the artistic side of AI, discussing how it\'s being used in various creative fields. It will feature interviews with artists and creators who are harnessing the power of AI in their work.'
     )
 
 
@@ -152,7 +152,7 @@ def test_hierarchical_process():
 
     assert (
         crew.kickoff()
-        == """Here are the 5 unique and interesting ideas for articles along with a highlight paragraph for each:\n\n1) The Future of AI and Machine Learning: A deeper look into the future of AI and machine learning, revealing the potential of both and their implications on society. The article will provide an informed vision of the future, addressing the possibilities that AI and machine learning could bring to our daily lives, from healthcare to education, and the challenges we might face.\n\n2) Startups Revolutionizing Traditional Industries with Tech: This article will narrate the journey of game-changing startups that are transforming traditional industries with innovative technology. It will delve into their stories, exploring how they leverage technology to disrupt the status quo, the hurdles they've overcome, and the impact they're making.\n\n3) Personal Development in the Age of Technology: In this article, we will explore how technology has changed the landscape of personal development. We will cover how digital tools and platforms are empowering individuals to learn, grow, and achieve their goals faster than ever before.\n\n4) Ethical Issues in Software Engineering: This article will investigate the ethical dilemmas that are arising in the realm of software engineering. It will discuss the moral implications of new technologies, the responsibilities of software engineers, and the need for a robust code of ethics in this rapidly evolving field.\n\n5) Entrepreneurship in the Digital Era: In this piece, we will delve into the role of digital technology in shaping the entrepreneurial landscape. We will discuss how the digital era has given rise to new entrepreneurial opportunities, the challenges that come with it, and the skills required to thrive in this new era."""
+        == "Here are the five interesting ideas for our next article along with a captivating paragraph for each:\n\n1. 'AI and Climate Change: A New Hope for Sustainability':\nIn a world where climate change is a pressing concern, Artificial Intelligence (AI) offers a glimmer of hope. This article will delve into how AI's predictive capabilities and data analysis can aid in sustainability efforts, from optimizing energy consumption to predicting extreme weather patterns. Through real-world examples and expert insights, we'll explore the innovative solutions AI is bringing to the fight against climate change.\n\n2. 'AI in Art: How Neural Networks are Revolutionizing the Artistic Landscape':\nArtificial Intelligence is not just for the tech-savvy; it's making waves in the art world too. This article will unveil how AI and Neural Networks are transforming the artistic landscape, creating a new genre of AI-art. From AI that can replicate the style of famous artists to AI that creates entirely original pieces, we will delve into this fascinating intersection of technology and creativity.\n\n3. 'The Role of AI in the Post-Covid World':\nThe global pandemic has drastically altered our world, and AI has played a pivotal role in this transformation. In this article, we'll explore how AI has been instrumental in everything from predicting the virus's spread to accelerating vaccine development. We'll also look ahead to the post-Covid world, investigating the lasting changes that AI will bring about in our societies.\n\n4. 'Demystifying AI: Breaking Down Complex AI Concepts for the Everyday Reader':\nArtificial Intelligence can seem like a complex and intimidating subject, but it doesn't have to be. This article aims to demystify AI, breaking down complex concepts into understandable nuggets of information. Whether you're an AI novice or a tech enthusiast, this article will enrich your understanding of AI and its impact on our lives.\n\n5. 'The Ethical Dilemmas of AI: Balancing Innovation and Humanity':\nAs AI continues to advance, it brings along a host of ethical dilemmas. This article will delve into the heart of these issues, discussing the balance between innovation and humanity. From the potential for bias in AI algorithms to the implications of autonomous machines, we'll explore the ethical implications of AI in our society."
     )
 
 
@@ -556,3 +556,118 @@ def test_task_with_no_arguments():
 
     result = crew.kickoff()
     assert result == "The total number of sales from January to May is 75."
+
+
+def test_delegation_is_not_enabled_if_there_are_only_one_agent():
+    from unittest.mock import patch
+
+    researcher = Agent(
+        role="Researcher",
+        goal="Make the best research and analysis on content about AI and AI agents",
+        backstory="You're an expert researcher, specialized in technology, software engineering, AI and startups. You work as a freelancer and is now working on doing research and analysis for a new customer.",
+        allow_delegation=True,
+    )
+
+    task = Task(
+        description="Look at the available data nd give me a sense on the total number of sales.",
+        agent=researcher,
+    )
+
+    crew = Crew(agents=[researcher], tasks=[task])
+
+    with patch.object(Task, "execute") as execute:
+        execute.return_value = "ok"
+        crew.kickoff()
+        assert task.tools == []
+
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_agents_do_not_get_delegation_tools_with_there_is_only_one_agent():
+    agent = Agent(
+        role="Researcher",
+        goal="Be super empathetic.",
+        backstory="You're love to sey howdy.",
+        allow_delegation=False,
+    )
+
+    task = Task(description="say howdy", expected_output="Howdy!", agent=agent)
+
+    crew = Crew(agents=[agent], tasks=[task])
+
+    result = crew.kickoff()
+    assert result == "Howdy!"
+    assert len(agent.tools) == 0
+
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_agent_usage_metrics_are_captured_for_sequential_process():
+    agent = Agent(
+        role="Researcher",
+        goal="Be super empathetic.",
+        backstory="You're love to sey howdy.",
+        allow_delegation=False,
+    )
+
+    task = Task(description="say howdy", expected_output="Howdy!", agent=agent)
+
+    crew = Crew(agents=[agent], tasks=[task])
+
+    result = crew.kickoff()
+    assert result == "Howdy!"
+    assert crew.usage_metrics == {
+        "completion_tokens": 8,
+        "prompt_tokens": 103,
+        "successful_requests": 1,
+        "total_tokens": 111,
+    }
+
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_agent_usage_metrics_are_captured_for_hierarchical_process():
+    from langchain_openai import ChatOpenAI
+
+    agent = Agent(
+        role="Researcher",
+        goal="Be super empathetic.",
+        backstory="You're love to sey howdy.",
+        allow_delegation=False,
+    )
+
+    task = Task(description="say howdy", expected_output="Howdy!")
+
+    crew = Crew(
+        agents=[agent],
+        tasks=[task],
+        process=Process.hierarchical,
+        manager_llm=ChatOpenAI(temperature=0, model="gpt-4"),
+    )
+
+    result = crew.kickoff()
+    assert result == "Howdy!"
+    assert crew.usage_metrics == {
+        "total_tokens": 1365,
+        "prompt_tokens": 1256,
+        "completion_tokens": 109,
+        "successful_requests": 3,
+    }
+
+
+def test_crew_inputs_interpolate_both_agents_and_tasks():
+    agent = Agent(
+        role="{topic} Researcher",
+        goal="Express hot takes on {topic}.",
+        backstory="You have a lot of experience with {topic}.",
+    )
+
+    task = Task(
+        description="Give me an analysis around {topic}.",
+        expected_output="{points} bullet points about {topic}.",
+    )
+
+    crew = Crew(agents=[agent], tasks=[task], inputs={"topic": "AI", "points": 5})
+
+    assert crew.tasks[0].description == "Give me an analysis around AI."
+    assert crew.tasks[0].expected_output == "5 bullet points about AI."
+    assert crew.agents[0].role == "AI Researcher"
+    assert crew.agents[0].goal == "Express hot takes on AI."
+    assert crew.agents[0].backstory == "You have a lot of experience with AI."

tests/task_test.py

@@ -6,7 +6,7 @@ import pytest
 from pydantic import BaseModel
 from pydantic_core import ValidationError
 
-from crewai import Agent, Crew, Task
+from crewai import Agent, Crew, Process, Task
 
 
 def test_task_tool_reflect_agent_tools():
@@ -235,7 +235,7 @@ def test_output_pydantic_to_another_task():
 
     crew = Crew(agents=[scorer], tasks=[task1, task2], verbose=2)
     result = crew.kickoff()
-    assert 5 == result.score
+    assert 4 == result.score
 
 
 @pytest.mark.vcr(filter_headers=["authorization"])
@@ -347,3 +347,103 @@ def test_save_task_pydantic_output():
         save_file.return_value = None
         crew.kickoff()
         save_file.assert_called_once_with('{"score":4}')
+
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_increment_delegations_for_hierarchical_process():
+    from langchain_openai import ChatOpenAI
+
+    scorer = Agent(
+        role="Scorer",
+        goal="Score the title",
+        backstory="You're an expert scorer, specialized in scoring titles.",
+        allow_delegation=False,
+    )
+
+    task = Task(
+        description="Give me an integer score between 1-5 for the following title: 'The impact of AI in the future of work'",
+        expected_output="The score of the title.",
+    )
+
+    crew = Crew(
+        agents=[scorer],
+        tasks=[task],
+        process=Process.hierarchical,
+        manager_llm=ChatOpenAI(model="gpt-4-0125-preview"),
+    )
+
+    with patch.object(Task, "increment_delegations") as increment_delegations:
+        increment_delegations.return_value = None
+        crew.kickoff()
+        increment_delegations.assert_called_once
+
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_increment_delegations_for_sequential_process():
+    pass
+
+    manager = Agent(
+        role="Manager",
+        goal="Coordinate scoring processes",
+        backstory="You're great at delegating work about scoring.",
+        allow_delegation=False,
+    )
+
+    scorer = Agent(
+        role="Scorer",
+        goal="Score the title",
+        backstory="You're an expert scorer, specialized in scoring titles.",
+        allow_delegation=False,
+    )
+
+    task = Task(
+        description="Give me an integer score between 1-5 for the following title: 'The impact of AI in the future of work'",
+        expected_output="The score of the title.",
+        agent=manager,
+    )
+
+    crew = Crew(
+        agents=[manager, scorer],
+        tasks=[task],
+        process=Process.sequential,
+    )
+
+    with patch.object(Task, "increment_delegations") as increment_delegations:
+        increment_delegations.return_value = None
+        crew.kickoff()
+        increment_delegations.assert_called_once
+
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_increment_tool_errors():
+    from crewai_tools import tool
+    from langchain_openai import ChatOpenAI
+
+    @tool
+    def scoring_examples() -> None:
+        "Useful examples for scoring titles."
+        raise Exception("Error")
+
+    scorer = Agent(
+        role="Scorer",
+        goal="Score the title",
+        backstory="You're an expert scorer, specialized in scoring titles.",
+        tools=[scoring_examples],
+    )
+
+    task = Task(
+        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.",
+    )
+
+    crew = Crew(
+        agents=[scorer],
+        tasks=[task],
+        process=Process.hierarchical,
+        manager_llm=ChatOpenAI(model="gpt-4-0125-preview"),
+    )
+
+    with patch.object(Task, "increment_tools_errors") as increment_tools_errors:
+        increment_tools_errors.return_value = None
+        crew.kickoff()
+        increment_tools_errors.assert_called_once