Crew_AI+Llamaindex.ipynb

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            "Building wheels for collected packages: docx2txt, pypika\n",
            "  Building wheel for docx2txt (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for docx2txt: filename=docx2txt-0.8-py3-none-any.whl size=3960 sha256=ef94e1a5a219e6ba339dbc06a54cb4fb115dc7e8fef30b20be0bc26041310b83\n",
            "  Stored in directory: /root/.cache/pip/wheels/22/58/cf/093d0a6c3ecfdfc5f6ddd5524043b88e59a9a199cb02352966\n",
            "  Building wheel for pypika (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for pypika: filename=PyPika-0.48.9-py2.py3-none-any.whl size=53725 sha256=5fb859c509b7976f4a460c6056219cfab21a29ac241ba2e1cf45916117a36f48\n",
            "  Stored in directory: /root/.cache/pip/wheels/e1/26/51/d0bffb3d2fd82256676d7ad3003faea3bd6dddc9577af665f4\n",
            "Successfully built docx2txt pypika\n",
            "Installing collected packages: sortedcontainers, schema, pypika, monotonic, durationpy, docx2txt, appdirs, wsproto, websockets, uvloop, uvicorn, uv, types-requests, tomli-w, tenacity, pytube, python-dotenv, pytest, pysbd, pyproject_hooks, pypdf, pulsar-client, protobuf, portalocker, parameterized, overrides, outcome, opentelemetry-util-http, nodeenv, mmh3, Mako, jsonref, json-repair, jiter, jedi, importlib-metadata, hyperframe, humanfriendly, httpx-sse, httptools, hpack, fastavro, deprecation, chroma-hnswlib, bcrypt, backoff, asgiref, watchfiles, trio, tiktoken, starlette, pyright, pylance, posthog, opentelemetry-proto, opentelemetry-api, h2, grpcio-tools, gptcache, docker, coloredlogs, build, alembic, trio-websocket, pyvis, pydantic-settings, opentelemetry-semantic-conventions, opentelemetry-instrumentation, opentelemetry-exporter-otlp-proto-common, onnxruntime, lancedb, kubernetes, fastapi, selenium, qdrant-client, opentelemetry-sdk, opentelemetry-instrumentation-asgi, litellm, langchain-core, instructor, cohere, auth0-python, opentelemetry-instrumentation-fastapi, opentelemetry-exporter-otlp-proto-http, opentelemetry-exporter-otlp-proto-grpc, mem0ai, langchain-openai, langchain, chromadb, langchain-community, langchain-experimental, langchain-cohere, embedchain, crewai-tools, crewai\n",
            "  Attempting uninstall: tenacity\n",
            "    Found existing installation: tenacity 8.5.0\n",
            "    Uninstalling tenacity-8.5.0:\n",
            "      Successfully uninstalled tenacity-8.5.0\n",
            "  Attempting uninstall: pytest\n",
            "    Found existing installation: pytest 7.4.4\n",
            "    Uninstalling pytest-7.4.4:\n",
            "      Successfully uninstalled pytest-7.4.4\n",
            "  Attempting uninstall: pypdf\n",
            "    Found existing installation: pypdf 4.3.1\n",
            "    Uninstalling pypdf-4.3.1:\n",
            "      Successfully uninstalled pypdf-4.3.1\n",
            "  Attempting uninstall: protobuf\n",
            "    Found existing installation: protobuf 3.20.3\n",
            "    Uninstalling protobuf-3.20.3:\n",
            "      Successfully uninstalled protobuf-3.20.3\n",
            "  Attempting uninstall: jiter\n",
            "    Found existing installation: jiter 0.6.1\n",
            "    Uninstalling jiter-0.6.1:\n",
            "      Successfully uninstalled jiter-0.6.1\n",
            "  Attempting uninstall: importlib-metadata\n",
            "    Found existing installation: importlib_metadata 8.5.0\n",
            "    Uninstalling importlib_metadata-8.5.0:\n",
            "      Successfully uninstalled importlib_metadata-8.5.0\n",
            "  Attempting uninstall: tiktoken\n",
            "    Found existing installation: tiktoken 0.8.0\n",
            "    Uninstalling tiktoken-0.8.0:\n",
            "      Successfully uninstalled tiktoken-0.8.0\n",
            "  Attempting uninstall: opentelemetry-api\n",
            "    Found existing installation: opentelemetry-api 1.16.0\n",
            "    Uninstalling opentelemetry-api-1.16.0:\n",
            "      Successfully uninstalled opentelemetry-api-1.16.0\n",
            "  Attempting uninstall: opentelemetry-semantic-conventions\n",
            "    Found existing installation: opentelemetry-semantic-conventions 0.37b0\n",
            "    Uninstalling opentelemetry-semantic-conventions-0.37b0:\n",
            "      Successfully uninstalled opentelemetry-semantic-conventions-0.37b0\n",
            "  Attempting uninstall: opentelemetry-sdk\n",
            "    Found existing installation: opentelemetry-sdk 1.16.0\n",
            "    Uninstalling opentelemetry-sdk-1.16.0:\n",
            "      Successfully uninstalled opentelemetry-sdk-1.16.0\n",
            "  Attempting uninstall: langchain-core\n",
            "    Found existing installation: langchain-core 0.3.13\n",
            "    Uninstalling langchain-core-0.3.13:\n",
            "      Successfully uninstalled langchain-core-0.3.13\n",
            "  Attempting uninstall: langchain\n",
            "    Found existing installation: langchain 0.3.4\n",
            "    Uninstalling langchain-0.3.4:\n",
            "      Successfully uninstalled langchain-0.3.4\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "llama-index-core 0.11.21 requires tenacity!=8.4.0,<9.0.0,>=8.2.0, but you have tenacity 9.0.0 which is incompatible.\n",
            "llama-index-readers-file 0.2.2 requires pypdf<5.0.0,>=4.0.1, but you have pypdf 5.1.0 which is incompatible.\n",
            "tensorflow-metadata 1.16.1 requires protobuf<4.21,>=3.20.3; python_version < \"3.11\", but you have protobuf 4.25.5 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed Mako-1.3.6 alembic-1.13.3 appdirs-1.4.4 asgiref-3.8.1 auth0-python-4.7.2 backoff-2.2.1 bcrypt-4.2.0 build-1.2.2.post1 chroma-hnswlib-0.7.3 chromadb-0.4.24 cohere-5.11.2 coloredlogs-15.0.1 crewai-0.76.9 crewai-tools-0.13.4 deprecation-2.1.0 docker-7.1.0 docx2txt-0.8 durationpy-0.9 embedchain-0.1.124 fastapi-0.115.4 fastavro-1.9.7 gptcache-0.1.44 grpcio-tools-1.62.3 h2-4.1.0 hpack-4.0.0 httptools-0.6.4 httpx-sse-0.4.0 humanfriendly-10.0 hyperframe-6.0.1 importlib-metadata-8.4.0 instructor-1.6.3 jedi-0.19.1 jiter-0.5.0 json-repair-0.30.0 jsonref-1.1.0 kubernetes-31.0.0 lancedb-0.15.0 langchain-0.3.6 langchain-cohere-0.3.1 langchain-community-0.3.4 langchain-core-0.3.15 langchain-experimental-0.3.2 langchain-openai-0.2.5 litellm-1.51.2 mem0ai-0.1.26 mmh3-5.0.1 monotonic-1.6 nodeenv-1.9.1 onnxruntime-1.19.2 opentelemetry-api-1.27.0 opentelemetry-exporter-otlp-proto-common-1.27.0 opentelemetry-exporter-otlp-proto-grpc-1.27.0 opentelemetry-exporter-otlp-proto-http-1.27.0 opentelemetry-instrumentation-0.48b0 opentelemetry-instrumentation-asgi-0.48b0 opentelemetry-instrumentation-fastapi-0.48b0 opentelemetry-proto-1.27.0 opentelemetry-sdk-1.27.0 opentelemetry-semantic-conventions-0.48b0 opentelemetry-util-http-0.48b0 outcome-1.3.0.post0 overrides-7.7.0 parameterized-0.9.0 portalocker-2.10.1 posthog-3.7.0 protobuf-4.25.5 pulsar-client-3.5.0 pydantic-settings-2.6.0 pylance-0.19.1 pypdf-5.1.0 pypika-0.48.9 pyproject_hooks-1.2.0 pyright-1.1.387 pysbd-0.3.4 pytest-8.3.3 python-dotenv-1.0.1 pytube-15.0.0 pyvis-0.3.2 qdrant-client-1.12.1 schema-0.7.7 selenium-4.26.1 sortedcontainers-2.4.0 starlette-0.41.2 tenacity-9.0.0 tiktoken-0.7.0 tomli-w-1.1.0 trio-0.27.0 trio-websocket-0.11.1 types-requests-2.32.0.20241016 uv-0.4.29 uvicorn-0.32.0 uvloop-0.21.0 watchfiles-0.24.0 websockets-13.1 wsproto-1.2.0\n"
          ]
        }
      ],
      "source": [
        "!pip install llama-index-core\n",
        "!pip install llama-index-readers-file\n",
        "!pip install llama-index-tools-wolfram-alpha\n",
        "!pip install 'crewai[tools]'"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "from crewai import Agent, Task, Crew, Process\n",
        "from crewai_tools import LlamaIndexTool"
      ],
      "metadata": {
        "id": "fqzJ0NI61Ao-"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!wget \"https://s23.q4cdn.com/407969754/files/doc_financials/2019/ar/Uber-Technologies-Inc-2019-Annual-Report.pdf\" -O uber_10k.pdf"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "D-RcpMka1u3Q",
        "outputId": "83101694-d9b8-4af5-99ea-11e63d7336c6"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2024-11-01 08:28:54--  https://s23.q4cdn.com/407969754/files/doc_financials/2019/ar/Uber-Technologies-Inc-2019-Annual-Report.pdf\n",
            "Resolving s23.q4cdn.com (s23.q4cdn.com)... 185.172.149.132, 2a0b:4d07:201::1\n",
            "Connecting to s23.q4cdn.com (s23.q4cdn.com)|185.172.149.132|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 2829436 (2.7M) [application/pdf]\n",
            "Saving to: ‘uber_10k.pdf’\n",
            "\n",
            "\ruber_10k.pdf          0%[                    ]       0  --.-KB/s               \ruber_10k.pdf        100%[===================>]   2.70M  --.-KB/s    in 0.03s   \n",
            "\n",
            "2024-11-01 08:28:54 (78.1 MB/s) - ‘uber_10k.pdf’ saved [2829436/2829436]\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install llama-index-llms-gemini\n",
        "!pip install -q llama-index google-generativeai"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "aiiijfBl2K0r",
        "outputId": "9d5b9514-2cce-4f48-d721-6185374b44da"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting llama-index-llms-gemini\n",
            "  Downloading llama_index_llms_gemini-0.3.7-py3-none-any.whl.metadata (3.4 kB)\n",
            "Collecting google-generativeai<0.6.0,>=0.5.2 (from llama-index-llms-gemini)\n",
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            "Collecting tenacity!=8.4.0,<9.0.0,>=8.2.0 (from llama-index-core<0.12.0,>=0.11.0->llama-index-llms-gemini)\n",
            "  Using cached tenacity-8.5.0-py3-none-any.whl.metadata (1.2 kB)\n",
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            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m150.7/150.7 kB\u001b[0m \u001b[31m7.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "\u001b[?25hUsing cached tenacity-8.5.0-py3-none-any.whl (28 kB)\n",
            "Installing collected packages: tenacity, google-ai-generativelanguage, google-generativeai, llama-index-llms-gemini\n",
            "  Attempting uninstall: tenacity\n",
            "    Found existing installation: tenacity 9.0.0\n",
            "    Uninstalling tenacity-9.0.0:\n",
            "      Successfully uninstalled tenacity-9.0.0\n",
            "  Attempting uninstall: google-ai-generativelanguage\n",
            "    Found existing installation: google-ai-generativelanguage 0.6.10\n",
            "    Uninstalling google-ai-generativelanguage-0.6.10:\n",
            "      Successfully uninstalled google-ai-generativelanguage-0.6.10\n",
            "  Attempting uninstall: google-generativeai\n",
            "    Found existing installation: google-generativeai 0.8.3\n",
            "    Uninstalling google-generativeai-0.8.3:\n",
            "      Successfully uninstalled google-generativeai-0.8.3\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "instructor 1.6.3 requires tenacity<10.0.0,>=9.0.0, but you have tenacity 8.5.0 which is incompatible.\n",
            "llama-index-readers-file 0.2.2 requires pypdf<5.0.0,>=4.0.1, but you have pypdf 5.1.0 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed google-ai-generativelanguage-0.6.4 google-generativeai-0.5.4 llama-index-llms-gemini-0.3.7 tenacity-8.5.0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "google",
                  "tenacity"
                ]
              },
              "id": "da10eceaf33b49e9aa1c7cce9ff410bc"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[?25l   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/1.2 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m1.2/1.2 MB\u001b[0m \u001b[31m49.1 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.2/1.2 MB\u001b[0m \u001b[31m23.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h\u001b[?25l   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/176.8 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m176.8/176.8 kB\u001b[0m \u001b[31m12.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h\u001b[31mERROR: Operation cancelled by user\u001b[0m\u001b[31m\n",
            "\u001b[0mTraceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_vendor/pkg_resources/__init__.py\", line 3070, in _dep_map\n",
            "    return self.__dep_map\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_vendor/pkg_resources/__init__.py\", line 2863, in __getattr__\n",
            "    raise AttributeError(attr)\n",
            "AttributeError: _DistInfoDistribution__dep_map\n",
            "\n",
            "During handling of the above exception, another exception occurred:\n",
            "\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_internal/cli/base_command.py\", line 179, in exc_logging_wrapper\n",
            "    status = run_func(*args)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_internal/cli/req_command.py\", line 67, in wrapper\n",
            "    return func(self, options, args)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_internal/commands/install.py\", line 447, in run\n",
            "    conflicts = self._determine_conflicts(to_install)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_internal/commands/install.py\", line 578, in _determine_conflicts\n",
            "    return check_install_conflicts(to_install)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_internal/operations/check.py\", line 101, in check_install_conflicts\n",
            "    package_set, _ = create_package_set_from_installed()\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_internal/operations/check.py\", line 42, in create_package_set_from_installed\n",
            "    dependencies = list(dist.iter_dependencies())\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_internal/metadata/pkg_resources.py\", line 247, in iter_dependencies\n",
            "    return self._dist.requires(extras)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_vendor/pkg_resources/__init__.py\", line 2786, in requires\n",
            "    dm = self._dep_map\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_vendor/pkg_resources/__init__.py\", line 3072, in _dep_map\n",
            "    self.__dep_map = self._compute_dependencies()\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_vendor/pkg_resources/__init__.py\", line 3082, in _compute_dependencies\n",
            "    reqs.extend(parse_requirements(req))\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_vendor/pkg_resources/__init__.py\", line 3135, in __init__\n",
            "    super().__init__(requirement_string)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_vendor/packaging/requirements.py\", line 36, in __init__\n",
            "    parsed = _parse_requirement(requirement_string)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_vendor/packaging/_parser.py\", line 62, in parse_requirement\n",
            "    return _parse_requirement(Tokenizer(source, rules=DEFAULT_RULES))\n",
            "KeyboardInterrupt\n",
            "\n",
            "During handling of the above exception, another exception occurred:\n",
            "\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/bin/pip3\", line 8, in <module>\n",
            "    sys.exit(main())\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_internal/cli/main.py\", line 80, in main\n",
            "    return command.main(cmd_args)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_internal/cli/base_command.py\", line 100, in main\n",
            "    return self._main(args)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_internal/cli/base_command.py\", line 232, in _main\n",
            "    return run(options, args)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_internal/cli/base_command.py\", line 216, in exc_logging_wrapper\n",
            "    logger.debug(\"Exception information:\", exc_info=True)\n",
            "  File \"/usr/lib/python3.10/logging/__init__.py\", line 1465, in debug\n",
            "    self._log(DEBUG, msg, args, **kwargs)\n",
            "  File \"/usr/lib/python3.10/logging/__init__.py\", line 1624, in _log\n",
            "    self.handle(record)\n",
            "  File \"/usr/lib/python3.10/logging/__init__.py\", line 1634, in handle\n",
            "    self.callHandlers(record)\n",
            "  File \"/usr/lib/python3.10/logging/__init__.py\", line 1696, in callHandlers\n",
            "    hdlr.handle(record)\n",
            "  File \"/usr/lib/python3.10/logging/__init__.py\", line 968, in handle\n",
            "    self.emit(record)\n",
            "  File \"/usr/lib/python3.10/logging/handlers.py\", line 75, in emit\n",
            "    logging.FileHandler.emit(self, record)\n",
            "  File \"/usr/lib/python3.10/logging/__init__.py\", line 1218, in emit\n",
            "    StreamHandler.emit(self, record)\n",
            "  File \"/usr/lib/python3.10/logging/__init__.py\", line 1100, in emit\n",
            "    msg = self.format(record)\n",
            "  File \"/usr/lib/python3.10/logging/__init__.py\", line 943, in format\n",
            "    return fmt.format(record)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_internal/utils/logging.py\", line 112, in format\n",
            "    formatted = super().format(record)\n",
            "  File \"/usr/lib/python3.10/logging/__init__.py\", line 686, in format\n",
            "    record.exc_text = self.formatException(record.exc_info)\n",
            "  File \"/usr/lib/python3.10/logging/__init__.py\", line 636, in formatException\n",
            "    traceback.print_exception(ei[0], ei[1], tb, None, sio)\n",
            "  File \"/usr/lib/python3.10/traceback.py\", line 119, in print_exception\n",
            "    te = TracebackException(type(value), value, tb, limit=limit, compact=True)\n",
            "  File \"/usr/lib/python3.10/traceback.py\", line 502, in __init__\n",
            "    self.stack = StackSummary.extract(\n",
            "  File \"/usr/lib/python3.10/traceback.py\", line 383, in extract\n",
            "    f.line\n",
            "  File \"/usr/lib/python3.10/traceback.py\", line 306, in line\n",
            "    self._line = linecache.getline(self.filename, self.lineno)\n",
            "  File \"/usr/lib/python3.10/linecache.py\", line 30, in getline\n",
            "    lines = getlines(filename, module_globals)\n",
            "  File \"/usr/lib/python3.10/linecache.py\", line 46, in getlines\n",
            "    return updatecache(filename, module_globals)\n",
            "  File \"/usr/lib/python3.10/linecache.py\", line 136, in updatecache\n",
            "    with tokenize.open(fullname) as fp:\n",
            "  File \"/usr/lib/python3.10/tokenize.py\", line 396, in open\n",
            "    encoding, lines = detect_encoding(buffer.readline)\n",
            "  File \"/usr/lib/python3.10/tokenize.py\", line 365, in detect_encoding\n",
            "    first = read_or_stop()\n",
            "  File \"/usr/lib/python3.10/tokenize.py\", line 323, in read_or_stop\n",
            "    return readline()\n",
            "KeyboardInterrupt\n",
            "^C\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "GOOGLE_API_KEY = \"AIzaSyAgDr3ptkmYVH1RnX8kwKxdoCbOXyut5uc\"\n",
        "os.environ[\"GOOGLE_API_KEY\"] = GOOGLE_API_KEY"
      ],
      "metadata": {
        "id": "mz2lyShM2Qvk"
      },
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from llama_index.core import SimpleDirectoryReader, VectorStoreIndex\n",
        "from llama_index.llms.gemini import Gemini\n",
        "llm=Gemini()\n",
        "\n",
        "reader = SimpleDirectoryReader(input_files=[\"uber_10k.pdf\"])\n",
        "docs = reader.load_data()"
      ],
      "metadata": {
        "id": "DBiUSYye13WS"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "docs[1].get_content()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 122
        },
        "id": "CM7LjsGq2eCV",
        "outputId": "71e0ac52-cfe5-4df5-aae0-4043a99eec66"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'69 \\nCountries\\n10K+ \\nCities\\n$65B \\nGross Bookings\\n111M \\nMAPCs\\n7B \\nTrips\\nA global tech \\nplatform at \\nmassive scale\\nServing multiple multi-trillion \\ndollar markets with products \\nleveraging our core technology \\nand infrastructure\\nWe believe deeply in our bold mission. Every minute \\nof every day, consumers and Drivers on our platform \\ncan tap a button and get a ride or tap a button and \\nget work. We revolutionized personal mobility with \\nridesharing, and we are leveraging our platform to \\nredefine the massive meal delivery and logistics \\nindustries. The foundation of our platform is our \\nmassive network, leading technology, operational \\nexcellence, and product expertise. Together, these \\nelements power movement from point A to point B.'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install llama-index-embeddings-huggingface"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qN87b-FK24Yo",
        "outputId": "c81572be-36ac-4b5b-dae4-ba9451df50fa"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting llama-index-embeddings-huggingface\n",
            "  Downloading llama_index_embeddings_huggingface-0.3.1-py3-none-any.whl.metadata (718 bytes)\n",
            "Requirement already satisfied: huggingface-hub>=0.19.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub[inference]>=0.19.0->llama-index-embeddings-huggingface) (0.24.7)\n",
            "Requirement already satisfied: llama-index-core<0.12.0,>=0.11.0 in /usr/local/lib/python3.10/dist-packages (from llama-index-embeddings-huggingface) (0.11.21)\n",
            "Requirement already satisfied: sentence-transformers>=2.6.1 in /usr/local/lib/python3.10/dist-packages (from llama-index-embeddings-huggingface) (3.2.1)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.19.0->huggingface-hub[inference]>=0.19.0->llama-index-embeddings-huggingface) (3.16.1)\n",
            "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.19.0->huggingface-hub[inference]>=0.19.0->llama-index-embeddings-huggingface) (2024.10.0)\n",
            "Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.19.0->huggingface-hub[inference]>=0.19.0->llama-index-embeddings-huggingface) (24.1)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.19.0->huggingface-hub[inference]>=0.19.0->llama-index-embeddings-huggingface) (6.0.2)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.19.0->huggingface-hub[inference]>=0.19.0->llama-index-embeddings-huggingface) (2.32.3)\n",
            "Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.19.0->huggingface-hub[inference]>=0.19.0->llama-index-embeddings-huggingface) (4.66.6)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.19.0->huggingface-hub[inference]>=0.19.0->llama-index-embeddings-huggingface) (4.12.2)\n",
            "Requirement already satisfied: aiohttp in /usr/local/lib/python3.10/dist-packages (from huggingface-hub[inference]>=0.19.0->llama-index-embeddings-huggingface) (3.10.10)\n",
            "Collecting minijinja>=1.0 (from huggingface-hub[inference]>=0.19.0->llama-index-embeddings-huggingface)\n",
            "  Downloading minijinja-2.2.0-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.8 kB)\n",
            "Requirement already satisfied: SQLAlchemy>=1.4.49 in /usr/local/lib/python3.10/dist-packages (from SQLAlchemy[asyncio]>=1.4.49->llama-index-core<0.12.0,>=0.11.0->llama-index-embeddings-huggingface) (2.0.36)\n",
            "Requirement already satisfied: dataclasses-json in /usr/local/lib/python3.10/dist-packages (from llama-index-core<0.12.0,>=0.11.0->llama-index-embeddings-huggingface) (0.6.7)\n",
            "Requirement already satisfied: deprecated>=1.2.9.3 in /usr/local/lib/python3.10/dist-packages (from llama-index-core<0.12.0,>=0.11.0->llama-index-embeddings-huggingface) (1.2.14)\n",
            "Requirement already satisfied: dirtyjson<2.0.0,>=1.0.8 in /usr/local/lib/python3.10/dist-packages (from llama-index-core<0.12.0,>=0.11.0->llama-index-embeddings-huggingface) (1.0.8)\n",
            "Requirement already satisfied: httpx in /usr/local/lib/python3.10/dist-packages (from llama-index-core<0.12.0,>=0.11.0->llama-index-embeddings-huggingface) (0.27.2)\n",
            "Requirement already satisfied: nest-asyncio<2.0.0,>=1.5.8 in /usr/local/lib/python3.10/dist-packages (from llama-index-core<0.12.0,>=0.11.0->llama-index-embeddings-huggingface) (1.6.0)\n",
            "Requirement already satisfied: networkx>=3.0 in /usr/local/lib/python3.10/dist-packages (from llama-index-core<0.12.0,>=0.11.0->llama-index-embeddings-huggingface) (3.4.2)\n",
            "Requirement already satisfied: nltk>3.8.1 in /usr/local/lib/python3.10/dist-packages (from llama-index-core<0.12.0,>=0.11.0->llama-index-embeddings-huggingface) (3.9.1)\n",
            "Requirement already satisfied: numpy<2.0.0 in /usr/local/lib/python3.10/dist-packages (from llama-index-core<0.12.0,>=0.11.0->llama-index-embeddings-huggingface) (1.26.4)\n",
            "Requirement already satisfied: pillow>=9.0.0 in /usr/local/lib/python3.10/dist-packages (from llama-index-core<0.12.0,>=0.11.0->llama-index-embeddings-huggingface) (10.4.0)\n",
            "Requirement already satisfied: pydantic<3.0.0,>=2.7.0 in /usr/local/lib/python3.10/dist-packages (from llama-index-core<0.12.0,>=0.11.0->llama-index-embeddings-huggingface) (2.9.2)\n",
            "Requirement already satisfied: tenacity!=8.4.0,<9.0.0,>=8.2.0 in /usr/local/lib/python3.10/dist-packages (from llama-index-core<0.12.0,>=0.11.0->llama-index-embeddings-huggingface) (8.5.0)\n",
            "Requirement already satisfied: tiktoken>=0.3.3 in /usr/local/lib/python3.10/dist-packages (from llama-index-core<0.12.0,>=0.11.0->llama-index-embeddings-huggingface) (0.7.0)\n",
            "Requirement already satisfied: typing-inspect>=0.8.0 in /usr/local/lib/python3.10/dist-packages (from llama-index-core<0.12.0,>=0.11.0->llama-index-embeddings-huggingface) (0.9.0)\n",
            "Requirement already satisfied: wrapt in /usr/local/lib/python3.10/dist-packages (from llama-index-core<0.12.0,>=0.11.0->llama-index-embeddings-huggingface) (1.16.0)\n",
            "Requirement already satisfied: transformers<5.0.0,>=4.41.0 in /usr/local/lib/python3.10/dist-packages (from sentence-transformers>=2.6.1->llama-index-embeddings-huggingface) (4.44.2)\n",
            "Requirement already satisfied: torch>=1.11.0 in /usr/local/lib/python3.10/dist-packages (from sentence-transformers>=2.6.1->llama-index-embeddings-huggingface) (2.5.0+cu121)\n",
            "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.10/dist-packages (from sentence-transformers>=2.6.1->llama-index-embeddings-huggingface) (1.5.2)\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from sentence-transformers>=2.6.1->llama-index-embeddings-huggingface) (1.13.1)\n",
            "Requirement already satisfied: aiohappyeyeballs>=2.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->huggingface-hub[inference]>=0.19.0->llama-index-embeddings-huggingface) (2.4.3)\n",
            "Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from aiohttp->huggingface-hub[inference]>=0.19.0->llama-index-embeddings-huggingface) (1.3.1)\n",
            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->huggingface-hub[inference]>=0.19.0->llama-index-embeddings-huggingface) (24.2.0)\n",
            "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from aiohttp->huggingface-hub[inference]>=0.19.0->llama-index-embeddings-huggingface) (1.5.0)\n",
            "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp->huggingface-hub[inference]>=0.19.0->llama-index-embeddings-huggingface) (6.1.0)\n",
            "Requirement already satisfied: yarl<2.0,>=1.12.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->huggingface-hub[inference]>=0.19.0->llama-index-embeddings-huggingface) (1.17.0)\n",
            "Requirement already satisfied: async-timeout<5.0,>=4.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->huggingface-hub[inference]>=0.19.0->llama-index-embeddings-huggingface) (4.0.3)\n",
            "Requirement already satisfied: click in /usr/local/lib/python3.10/dist-packages (from nltk>3.8.1->llama-index-core<0.12.0,>=0.11.0->llama-index-embeddings-huggingface) (8.1.7)\n",
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            "Requirement already satisfied: regex>=2021.8.3 in /usr/local/lib/python3.10/dist-packages (from nltk>3.8.1->llama-index-core<0.12.0,>=0.11.0->llama-index-embeddings-huggingface) (2024.9.11)\n",
            "Requirement already satisfied: annotated-types>=0.6.0 in /usr/local/lib/python3.10/dist-packages (from pydantic<3.0.0,>=2.7.0->llama-index-core<0.12.0,>=0.11.0->llama-index-embeddings-huggingface) (0.7.0)\n",
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            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.19.0->huggingface-hub[inference]>=0.19.0->llama-index-embeddings-huggingface) (3.4.0)\n",
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            "Requirement already satisfied: propcache>=0.2.0 in /usr/local/lib/python3.10/dist-packages (from yarl<2.0,>=1.12.0->aiohttp->huggingface-hub[inference]>=0.19.0->llama-index-embeddings-huggingface) (0.2.0)\n",
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            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.11.0->sentence-transformers>=2.6.1->llama-index-embeddings-huggingface) (3.0.2)\n",
            "Downloading llama_index_embeddings_huggingface-0.3.1-py3-none-any.whl (8.6 kB)\n",
            "Downloading minijinja-2.2.0-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (861 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m861.9/861.9 kB\u001b[0m \u001b[31m21.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: minijinja, llama-index-embeddings-huggingface\n",
            "Successfully installed llama-index-embeddings-huggingface-0.3.1 minijinja-2.2.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from llama_index.embeddings.huggingface import HuggingFaceEmbedding\n",
        "from llama_index.core import Settings\n",
        "\n",
        "Settings.embed_model = HuggingFaceEmbedding(\n",
        "    model_name=\"BAAI/bge-small-en-v1.5\"\n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 493,
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        },
        "id": "vr5RacO729Pk",
        "outputId": "43fd7e24-4cd9-4506-96f0-51075467a262"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:89: UserWarning: \n",
            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
            "You will be able to reuse this secret in all of your notebooks.\n",
            "Please note that authentication is recommended but still optional to access public models or datasets.\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "modules.json:   0%|          | 0.00/349 [00:00<?, ?B/s]"
            ],
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          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "config_sentence_transformers.json:   0%|          | 0.00/124 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
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          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "README.md:   0%|          | 0.00/94.8k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
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            ],
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          "metadata": {}
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        {
          "output_type": "display_data",
          "data": {
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            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
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              "model.safetensors:   0%|          | 0.00/133M [00:00<?, ?B/s]"
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            "application/vnd.jupyter.widget-view+json": {
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          "metadata": {}
        },
        {
          "output_type": "display_data",
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            "application/vnd.jupyter.widget-view+json": {
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          "metadata": {}
        },
        {
          "output_type": "display_data",
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            ],
            "application/vnd.jupyter.widget-view+json": {
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          "metadata": {}
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        {
          "output_type": "display_data",
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            ],
            "application/vnd.jupyter.widget-view+json": {
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          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "1_Pooling/config.json:   0%|          | 0.00/190 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "index = VectorStoreIndex.from_documents(docs)\n",
        "query_engine = index.as_query_engine(similarity_top_k=5, llm=llm)"
      ],
      "metadata": {
        "id": "R-Irwp3E2pI5"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from crewai_tools import LlamaIndexTool"
      ],
      "metadata": {
        "id": "ERM4pO483_yt"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "query_tool = LlamaIndexTool.from_query_engine(\n",
        "    query_engine,\n",
        "    name=\"Uber 2019 10K Query Tool\",\n",
        "    description=\"Use this tool to lookup the 2019 Uber 10K Annual Report\",\n",
        ")"
      ],
      "metadata": {
        "id": "IhETAler2sk-"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "query_tool.args_schema.schema()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YfB9mseh35TM",
        "outputId": "11c0dfb8-3c2d-489a-b1a9-2ab04bf48d2e"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'description': 'Schema for query tool.',\n",
              " 'properties': {'query': {'description': 'Search query for the query tool.',\n",
              "   'title': 'Query',\n",
              "   'type': 'string'}},\n",
              " 'required': ['query'],\n",
              " 'title': 'QueryToolSchema',\n",
              " 'type': 'object'}"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from crewai import Agent, Task, Crew, Process"
      ],
      "metadata": {
        "id": "aZ7rqXNd4lHa"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Define your agents with roles and goals\n",
        "researcher = Agent(\n",
        "    role=\"Senior Financial Analyst\",\n",
        "    goal=\"Uncover insights about different tech companies\",\n",
        "    backstory=\"\"\"You work at an asset management firm.\n",
        "  Your goal is to understand tech stocks like Uber.\"\"\",\n",
        "    verbose=True,\n",
        "    allow_delegation=False,\n",
        "    tools=[query_tool],\n",
        ")\n",
        "writer = Agent(\n",
        "    role=\"Tech Content Strategist\",\n",
        "    goal=\"Craft compelling content on tech advancements\",\n",
        "    backstory=\"\"\"You are a renowned Content Strategist, known for your insightful and engaging articles.\n",
        "  You transform complex concepts into compelling narratives.\"\"\",\n",
        "    verbose=True,\n",
        "    allow_delegation=False,\n",
        ")\n",
        "\n",
        "# Create tasks for your agents\n",
        "task1 = Task(\n",
        "    description=\"\"\"Conduct a comprehensive analysis of Uber's risk factors in 2019.\"\"\",\n",
        "    expected_output=\"Full analysis report in bullet points\",\n",
        "    agent=researcher,\n",
        ")\n",
        "\n",
        "task2 = Task(\n",
        "    description=\"\"\"Using the insights provided, develop an engaging blog\n",
        "  post that highlights the headwinds that Uber faces.\n",
        "  Your post should be informative yet accessible, catering to a casual audience.\n",
        "  Make it sound cool, avoid complex words.\"\"\",\n",
        "    expected_output=\"Full blog post of at least 4 paragraphs\",\n",
        "    agent=writer,\n",
        ")\n",
        "\n",
        "# Instantiate your crew with a sequential process\n",
        "crew = Crew(\n",
        "    agents=[researcher, writer],\n",
        "    tasks=[task1, task2]\n",
        ")"
      ],
      "metadata": {
        "id": "uWslvMpA4W9K"
      },
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Get your crew to work!\n",
        "result = crew.kickoff()\n",
        "\n",
        "print(\"######################\")\n",
        "print(result)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "cb_W62914d65",
        "outputId": "8e7b5b1b-3d5f-4041-d90d-24229eb14041"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "ERROR:root:LiteLLM call failed: litellm.AuthenticationError: AuthenticationError: OpenAIException - The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable\n",
            "ERROR:root:LiteLLM call failed: litellm.AuthenticationError: AuthenticationError: OpenAIException - The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable\n",
            "ERROR:root:LiteLLM call failed: litellm.AuthenticationError: AuthenticationError: OpenAIException - The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m\u001b[95m# Agent:\u001b[00m \u001b[1m\u001b[92mSenior Financial Analyst\u001b[00m\n",
            "\u001b[95m## Task:\u001b[00m \u001b[92mConduct a comprehensive analysis of Uber's risk factors in 2019.\u001b[00m\n",
            "\u001b[1m\u001b[95m# Agent:\u001b[00m \u001b[1m\u001b[92mSenior Financial Analyst\u001b[00m\n",
            "\u001b[95m## Task:\u001b[00m \u001b[92mConduct a comprehensive analysis of Uber's risk factors in 2019.\u001b[00m\n",
            "\u001b[1m\u001b[95m# Agent:\u001b[00m \u001b[1m\u001b[92mSenior Financial Analyst\u001b[00m\n",
            "\u001b[95m## Task:\u001b[00m \u001b[92mConduct a comprehensive analysis of Uber's risk factors in 2019.\u001b[00m\n"
          ]
        },
        {
          "output_type": "error",
          "ename": "AuthenticationError",
          "evalue": "litellm.AuthenticationError: AuthenticationError: OpenAIException - The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mOpenAIError\u001b[0m                               Traceback (most recent call last)",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/llms/OpenAI/openai.py\u001b[0m in \u001b[0;36mcompletion\u001b[0;34m(self, model_response, timeout, optional_params, logging_obj, model, messages, print_verbose, api_key, api_base, acompletion, litellm_params, logger_fn, headers, custom_prompt_dict, client, organization, custom_llm_provider, drop_params)\u001b[0m\n\u001b[1;32m    853\u001b[0m                     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 854\u001b[0;31m                         \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    855\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mOpenAIError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/llms/OpenAI/openai.py\u001b[0m in \u001b[0;36mcompletion\u001b[0;34m(self, model_response, timeout, optional_params, logging_obj, model, messages, print_verbose, api_key, api_base, acompletion, litellm_params, logger_fn, headers, custom_prompt_dict, client, organization, custom_llm_provider, drop_params)\u001b[0m\n\u001b[1;32m    766\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 767\u001b[0;31m                         openai_client: OpenAI = self._get_openai_client(  # type: ignore\n\u001b[0m\u001b[1;32m    768\u001b[0m                             \u001b[0mis_async\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/llms/OpenAI/openai.py\u001b[0m in \u001b[0;36m_get_openai_client\u001b[0;34m(self, is_async, api_key, api_base, timeout, max_retries, organization, client)\u001b[0m\n\u001b[1;32m    574\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 575\u001b[0;31m                 _new_client = OpenAI(\n\u001b[0m\u001b[1;32m    576\u001b[0m                     \u001b[0mapi_key\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mapi_key\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/openai/_client.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, api_key, organization, project, base_url, timeout, max_retries, default_headers, default_query, http_client, _strict_response_validation)\u001b[0m\n\u001b[1;32m    104\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mapi_key\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 105\u001b[0;31m             raise OpenAIError(\n\u001b[0m\u001b[1;32m    106\u001b[0m                 \u001b[0;34m\"The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mOpenAIError\u001b[0m: The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable",
            "\nDuring handling of the above exception, another exception occurred:\n",
            "\u001b[0;31mOpenAIError\u001b[0m                               Traceback (most recent call last)",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/main.py\u001b[0m in \u001b[0;36mcompletion\u001b[0;34m(model, messages, timeout, temperature, top_p, n, stream, stream_options, stop, max_completion_tokens, max_tokens, modalities, audio, presence_penalty, frequency_penalty, logit_bias, user, response_format, seed, tools, tool_choice, logprobs, top_logprobs, parallel_tool_calls, deployment_id, extra_headers, functions, function_call, base_url, api_version, api_key, model_list, **kwargs)\u001b[0m\n\u001b[1;32m   1586\u001b[0m                 )\n\u001b[0;32m-> 1587\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1588\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/main.py\u001b[0m in \u001b[0;36mcompletion\u001b[0;34m(model, messages, timeout, temperature, top_p, n, stream, stream_options, stop, max_completion_tokens, max_tokens, modalities, audio, presence_penalty, frequency_penalty, logit_bias, user, response_format, seed, tools, tool_choice, logprobs, top_logprobs, parallel_tool_calls, deployment_id, extra_headers, functions, function_call, base_url, api_version, api_key, model_list, **kwargs)\u001b[0m\n\u001b[1;32m   1559\u001b[0m                 \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1560\u001b[0;31m                     response = openai_chat_completions.completion(\n\u001b[0m\u001b[1;32m   1561\u001b[0m                         \u001b[0mmodel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/llms/OpenAI/openai.py\u001b[0m in \u001b[0;36mcompletion\u001b[0;34m(self, model_response, timeout, optional_params, logging_obj, model, messages, print_verbose, api_key, api_base, acompletion, litellm_params, logger_fn, headers, custom_prompt_dict, client, organization, custom_llm_provider, drop_params)\u001b[0m\n\u001b[1;32m    863\u001b[0m                 \u001b[0merror_headers\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0merror_response\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"headers\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 864\u001b[0;31m             raise OpenAIError(\n\u001b[0m\u001b[1;32m    865\u001b[0m                 \u001b[0mstatus_code\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mstatus_code\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmessage\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0merror_text\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mheaders\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0merror_headers\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mOpenAIError\u001b[0m: The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable",
            "\nDuring handling of the above exception, another exception occurred:\n",
            "\u001b[0;31mAuthenticationError\u001b[0m                       Traceback (most recent call last)",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/crewai/agent.py\u001b[0m in \u001b[0;36mexecute_task\u001b[0;34m(self, task, context, tools)\u001b[0m\n\u001b[1;32m    235\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 236\u001b[0;31m             result = self.agent_executor.invoke(\n\u001b[0m\u001b[1;32m    237\u001b[0m                 {\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/crewai/agents/crew_agent_executor.py\u001b[0m in \u001b[0;36minvoke\u001b[0;34m(self, inputs)\u001b[0m\n\u001b[1;32m     92\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mask_for_human_input\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbool\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"ask_for_human_input\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 93\u001b[0;31m         \u001b[0mformatted_answer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_invoke_loop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     94\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/crewai/agents/crew_agent_executor.py\u001b[0m in \u001b[0;36m_invoke_loop\u001b[0;34m(self, formatted_answer)\u001b[0m\n\u001b[1;32m    174\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 175\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    176\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/crewai/agents/crew_agent_executor.py\u001b[0m in \u001b[0;36m_invoke_loop\u001b[0;34m(self, formatted_answer)\u001b[0m\n\u001b[1;32m    114\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrequest_within_rpm_limit\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrequest_within_rpm_limit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 115\u001b[0;31m                     answer = self.llm.call(\n\u001b[0m\u001b[1;32m    116\u001b[0m                         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmessages\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/crewai/llm.py\u001b[0m in \u001b[0;36mcall\u001b[0;34m(self, messages, callbacks)\u001b[0m\n\u001b[1;32m    154\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 155\u001b[0;31m                 \u001b[0mresponse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlitellm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcompletion\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mparams\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    156\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"choices\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"message\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"content\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/utils.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m   1012\u001b[0m                 )  # DO NOT MAKE THREADED - router retry fallback relies on this!\n\u001b[0;32m-> 1013\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1014\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/utils.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    902\u001b[0m             \u001b[0;31m# MODEL CALL\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 903\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0moriginal_function\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    904\u001b[0m             \u001b[0mend_time\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdatetime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdatetime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/main.py\u001b[0m in \u001b[0;36mcompletion\u001b[0;34m(model, messages, timeout, temperature, top_p, n, stream, stream_options, stop, max_completion_tokens, max_tokens, modalities, audio, presence_penalty, frequency_penalty, logit_bias, user, response_format, seed, tools, tool_choice, logprobs, top_logprobs, parallel_tool_calls, deployment_id, extra_headers, functions, function_call, base_url, api_version, api_key, model_list, **kwargs)\u001b[0m\n\u001b[1;32m   2998\u001b[0m         \u001b[0;31m## Map to OpenAI Exception\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2999\u001b[0;31m         raise exception_type(\n\u001b[0m\u001b[1;32m   3000\u001b[0m             \u001b[0mmodel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/litellm_core_utils/exception_mapping_utils.py\u001b[0m in \u001b[0;36mexception_type\u001b[0;34m(model, original_exception, custom_llm_provider, completion_kwargs, extra_kwargs)\u001b[0m\n\u001b[1;32m   2115\u001b[0m             \u001b[0msetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"litellm_response_headers\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlitellm_response_headers\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2116\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2117\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/litellm_core_utils/exception_mapping_utils.py\u001b[0m in \u001b[0;36mexception_type\u001b[0;34m(model, original_exception, custom_llm_provider, completion_kwargs, extra_kwargs)\u001b[0m\n\u001b[1;32m    309\u001b[0m                     \u001b[0mexception_mapping_worked\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 310\u001b[0;31m                     raise AuthenticationError(\n\u001b[0m\u001b[1;32m    311\u001b[0m                         \u001b[0mmessage\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34mf\"AuthenticationError: {exception_provider} - {message}\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mAuthenticationError\u001b[0m: litellm.AuthenticationError: AuthenticationError: OpenAIException - The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable",
            "\nDuring handling of the above exception, another exception occurred:\n",
            "\u001b[0;31mOpenAIError\u001b[0m                               Traceback (most recent call last)",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/llms/OpenAI/openai.py\u001b[0m in \u001b[0;36mcompletion\u001b[0;34m(self, model_response, timeout, optional_params, logging_obj, model, messages, print_verbose, api_key, api_base, acompletion, litellm_params, logger_fn, headers, custom_prompt_dict, client, organization, custom_llm_provider, drop_params)\u001b[0m\n\u001b[1;32m    853\u001b[0m                     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 854\u001b[0;31m                         \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    855\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mOpenAIError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/llms/OpenAI/openai.py\u001b[0m in \u001b[0;36mcompletion\u001b[0;34m(self, model_response, timeout, optional_params, logging_obj, model, messages, print_verbose, api_key, api_base, acompletion, litellm_params, logger_fn, headers, custom_prompt_dict, client, organization, custom_llm_provider, drop_params)\u001b[0m\n\u001b[1;32m    766\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 767\u001b[0;31m                         openai_client: OpenAI = self._get_openai_client(  # type: ignore\n\u001b[0m\u001b[1;32m    768\u001b[0m                             \u001b[0mis_async\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/llms/OpenAI/openai.py\u001b[0m in \u001b[0;36m_get_openai_client\u001b[0;34m(self, is_async, api_key, api_base, timeout, max_retries, organization, client)\u001b[0m\n\u001b[1;32m    574\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 575\u001b[0;31m                 _new_client = OpenAI(\n\u001b[0m\u001b[1;32m    576\u001b[0m                     \u001b[0mapi_key\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mapi_key\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/openai/_client.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, api_key, organization, project, base_url, timeout, max_retries, default_headers, default_query, http_client, _strict_response_validation)\u001b[0m\n\u001b[1;32m    104\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mapi_key\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 105\u001b[0;31m             raise OpenAIError(\n\u001b[0m\u001b[1;32m    106\u001b[0m                 \u001b[0;34m\"The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mOpenAIError\u001b[0m: The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable",
            "\nDuring handling of the above exception, another exception occurred:\n",
            "\u001b[0;31mOpenAIError\u001b[0m                               Traceback (most recent call last)",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/main.py\u001b[0m in \u001b[0;36mcompletion\u001b[0;34m(model, messages, timeout, temperature, top_p, n, stream, stream_options, stop, max_completion_tokens, max_tokens, modalities, audio, presence_penalty, frequency_penalty, logit_bias, user, response_format, seed, tools, tool_choice, logprobs, top_logprobs, parallel_tool_calls, deployment_id, extra_headers, functions, function_call, base_url, api_version, api_key, model_list, **kwargs)\u001b[0m\n\u001b[1;32m   1586\u001b[0m                 )\n\u001b[0;32m-> 1587\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1588\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/main.py\u001b[0m in \u001b[0;36mcompletion\u001b[0;34m(model, messages, timeout, temperature, top_p, n, stream, stream_options, stop, max_completion_tokens, max_tokens, modalities, audio, presence_penalty, frequency_penalty, logit_bias, user, response_format, seed, tools, tool_choice, logprobs, top_logprobs, parallel_tool_calls, deployment_id, extra_headers, functions, function_call, base_url, api_version, api_key, model_list, **kwargs)\u001b[0m\n\u001b[1;32m   1559\u001b[0m                 \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1560\u001b[0;31m                     response = openai_chat_completions.completion(\n\u001b[0m\u001b[1;32m   1561\u001b[0m                         \u001b[0mmodel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/llms/OpenAI/openai.py\u001b[0m in \u001b[0;36mcompletion\u001b[0;34m(self, model_response, timeout, optional_params, logging_obj, model, messages, print_verbose, api_key, api_base, acompletion, litellm_params, logger_fn, headers, custom_prompt_dict, client, organization, custom_llm_provider, drop_params)\u001b[0m\n\u001b[1;32m    863\u001b[0m                 \u001b[0merror_headers\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0merror_response\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"headers\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 864\u001b[0;31m             raise OpenAIError(\n\u001b[0m\u001b[1;32m    865\u001b[0m                 \u001b[0mstatus_code\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mstatus_code\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmessage\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0merror_text\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mheaders\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0merror_headers\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mOpenAIError\u001b[0m: The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable",
            "\nDuring handling of the above exception, another exception occurred:\n",
            "\u001b[0;31mAuthenticationError\u001b[0m                       Traceback (most recent call last)",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/crewai/agent.py\u001b[0m in \u001b[0;36mexecute_task\u001b[0;34m(self, task, context, tools)\u001b[0m\n\u001b[1;32m    235\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 236\u001b[0;31m             result = self.agent_executor.invoke(\n\u001b[0m\u001b[1;32m    237\u001b[0m                 {\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/crewai/agents/crew_agent_executor.py\u001b[0m in \u001b[0;36minvoke\u001b[0;34m(self, inputs)\u001b[0m\n\u001b[1;32m     92\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mask_for_human_input\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbool\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"ask_for_human_input\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 93\u001b[0;31m         \u001b[0mformatted_answer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_invoke_loop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     94\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/crewai/agents/crew_agent_executor.py\u001b[0m in \u001b[0;36m_invoke_loop\u001b[0;34m(self, formatted_answer)\u001b[0m\n\u001b[1;32m    174\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 175\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    176\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/crewai/agents/crew_agent_executor.py\u001b[0m in \u001b[0;36m_invoke_loop\u001b[0;34m(self, formatted_answer)\u001b[0m\n\u001b[1;32m    114\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrequest_within_rpm_limit\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrequest_within_rpm_limit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 115\u001b[0;31m                     answer = self.llm.call(\n\u001b[0m\u001b[1;32m    116\u001b[0m                         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmessages\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/crewai/llm.py\u001b[0m in \u001b[0;36mcall\u001b[0;34m(self, messages, callbacks)\u001b[0m\n\u001b[1;32m    154\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 155\u001b[0;31m                 \u001b[0mresponse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlitellm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcompletion\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mparams\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    156\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"choices\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"message\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"content\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/utils.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m   1012\u001b[0m                 )  # DO NOT MAKE THREADED - router retry fallback relies on this!\n\u001b[0;32m-> 1013\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1014\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/utils.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    902\u001b[0m             \u001b[0;31m# MODEL CALL\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 903\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0moriginal_function\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    904\u001b[0m             \u001b[0mend_time\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdatetime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdatetime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/main.py\u001b[0m in \u001b[0;36mcompletion\u001b[0;34m(model, messages, timeout, temperature, top_p, n, stream, stream_options, stop, max_completion_tokens, max_tokens, modalities, audio, presence_penalty, frequency_penalty, logit_bias, user, response_format, seed, tools, tool_choice, logprobs, top_logprobs, parallel_tool_calls, deployment_id, extra_headers, functions, function_call, base_url, api_version, api_key, model_list, **kwargs)\u001b[0m\n\u001b[1;32m   2998\u001b[0m         \u001b[0;31m## Map to OpenAI Exception\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2999\u001b[0;31m         raise exception_type(\n\u001b[0m\u001b[1;32m   3000\u001b[0m             \u001b[0mmodel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/litellm_core_utils/exception_mapping_utils.py\u001b[0m in \u001b[0;36mexception_type\u001b[0;34m(model, original_exception, custom_llm_provider, completion_kwargs, extra_kwargs)\u001b[0m\n\u001b[1;32m   2115\u001b[0m             \u001b[0msetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"litellm_response_headers\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlitellm_response_headers\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2116\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2117\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/litellm_core_utils/exception_mapping_utils.py\u001b[0m in \u001b[0;36mexception_type\u001b[0;34m(model, original_exception, custom_llm_provider, completion_kwargs, extra_kwargs)\u001b[0m\n\u001b[1;32m    309\u001b[0m                     \u001b[0mexception_mapping_worked\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 310\u001b[0;31m                     raise AuthenticationError(\n\u001b[0m\u001b[1;32m    311\u001b[0m                         \u001b[0mmessage\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34mf\"AuthenticationError: {exception_provider} - {message}\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mAuthenticationError\u001b[0m: litellm.AuthenticationError: AuthenticationError: OpenAIException - The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable",
            "\nDuring handling of the above exception, another exception occurred:\n",
            "\u001b[0;31mOpenAIError\u001b[0m                               Traceback (most recent call last)",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/llms/OpenAI/openai.py\u001b[0m in \u001b[0;36mcompletion\u001b[0;34m(self, model_response, timeout, optional_params, logging_obj, model, messages, print_verbose, api_key, api_base, acompletion, litellm_params, logger_fn, headers, custom_prompt_dict, client, organization, custom_llm_provider, drop_params)\u001b[0m\n\u001b[1;32m    853\u001b[0m                     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 854\u001b[0;31m                         \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    855\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mOpenAIError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/llms/OpenAI/openai.py\u001b[0m in \u001b[0;36mcompletion\u001b[0;34m(self, model_response, timeout, optional_params, logging_obj, model, messages, print_verbose, api_key, api_base, acompletion, litellm_params, logger_fn, headers, custom_prompt_dict, client, organization, custom_llm_provider, drop_params)\u001b[0m\n\u001b[1;32m    766\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 767\u001b[0;31m                         openai_client: OpenAI = self._get_openai_client(  # type: ignore\n\u001b[0m\u001b[1;32m    768\u001b[0m                             \u001b[0mis_async\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/llms/OpenAI/openai.py\u001b[0m in \u001b[0;36m_get_openai_client\u001b[0;34m(self, is_async, api_key, api_base, timeout, max_retries, organization, client)\u001b[0m\n\u001b[1;32m    574\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 575\u001b[0;31m                 _new_client = OpenAI(\n\u001b[0m\u001b[1;32m    576\u001b[0m                     \u001b[0mapi_key\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mapi_key\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/openai/_client.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, api_key, organization, project, base_url, timeout, max_retries, default_headers, default_query, http_client, _strict_response_validation)\u001b[0m\n\u001b[1;32m    104\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mapi_key\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 105\u001b[0;31m             raise OpenAIError(\n\u001b[0m\u001b[1;32m    106\u001b[0m                 \u001b[0;34m\"The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mOpenAIError\u001b[0m: The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable",
            "\nDuring handling of the above exception, another exception occurred:\n",
            "\u001b[0;31mOpenAIError\u001b[0m                               Traceback (most recent call last)",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/main.py\u001b[0m in \u001b[0;36mcompletion\u001b[0;34m(model, messages, timeout, temperature, top_p, n, stream, stream_options, stop, max_completion_tokens, max_tokens, modalities, audio, presence_penalty, frequency_penalty, logit_bias, user, response_format, seed, tools, tool_choice, logprobs, top_logprobs, parallel_tool_calls, deployment_id, extra_headers, functions, function_call, base_url, api_version, api_key, model_list, **kwargs)\u001b[0m\n\u001b[1;32m   1586\u001b[0m                 )\n\u001b[0;32m-> 1587\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1588\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/main.py\u001b[0m in \u001b[0;36mcompletion\u001b[0;34m(model, messages, timeout, temperature, top_p, n, stream, stream_options, stop, max_completion_tokens, max_tokens, modalities, audio, presence_penalty, frequency_penalty, logit_bias, user, response_format, seed, tools, tool_choice, logprobs, top_logprobs, parallel_tool_calls, deployment_id, extra_headers, functions, function_call, base_url, api_version, api_key, model_list, **kwargs)\u001b[0m\n\u001b[1;32m   1559\u001b[0m                 \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1560\u001b[0;31m                     response = openai_chat_completions.completion(\n\u001b[0m\u001b[1;32m   1561\u001b[0m                         \u001b[0mmodel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/llms/OpenAI/openai.py\u001b[0m in \u001b[0;36mcompletion\u001b[0;34m(self, model_response, timeout, optional_params, logging_obj, model, messages, print_verbose, api_key, api_base, acompletion, litellm_params, logger_fn, headers, custom_prompt_dict, client, organization, custom_llm_provider, drop_params)\u001b[0m\n\u001b[1;32m    863\u001b[0m                 \u001b[0merror_headers\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0merror_response\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"headers\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 864\u001b[0;31m             raise OpenAIError(\n\u001b[0m\u001b[1;32m    865\u001b[0m                 \u001b[0mstatus_code\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mstatus_code\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmessage\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0merror_text\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mheaders\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0merror_headers\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mOpenAIError\u001b[0m: The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable",
            "\nDuring handling of the above exception, another exception occurred:\n",
            "\u001b[0;31mAuthenticationError\u001b[0m                       Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-18-a8caa54202d4>\u001b[0m in \u001b[0;36m<cell line: 2>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Get your crew to work!\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcrew\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkickoff\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"######################\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/crewai/crew.py\u001b[0m in \u001b[0;36mkickoff\u001b[0;34m(self, inputs)\u001b[0m\n\u001b[1;32m    492\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    493\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprocess\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mProcess\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msequential\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 494\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_sequential_process\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    495\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprocess\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mProcess\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhierarchical\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    496\u001b[0m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_hierarchical_process\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/crewai/crew.py\u001b[0m in \u001b[0;36m_run_sequential_process\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    596\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_run_sequential_process\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mCrewOutput\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    597\u001b[0m         \u001b[0;34m\"\"\"Executes tasks sequentially and returns the final output.\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 598\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_execute_tasks\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtasks\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    599\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    600\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_run_hierarchical_process\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mCrewOutput\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/crewai/crew.py\u001b[0m in \u001b[0;36m_execute_tasks\u001b[0;34m(self, tasks, start_index, was_replayed)\u001b[0m\n\u001b[1;32m    694\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    695\u001b[0m                 \u001b[0mcontext\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_context\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtask\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtask_outputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 696\u001b[0;31m                 task_output = task.execute_sync(\n\u001b[0m\u001b[1;32m    697\u001b[0m                     \u001b[0magent\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0magent_to_use\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    698\u001b[0m                     \u001b[0mcontext\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcontext\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/crewai/task.py\u001b[0m in \u001b[0;36mexecute_sync\u001b[0;34m(self, agent, context, tools)\u001b[0m\n\u001b[1;32m    189\u001b[0m     ) -> TaskOutput:\n\u001b[1;32m    190\u001b[0m         \u001b[0;34m\"\"\"Execute the task synchronously.\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 191\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_execute_core\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0magent\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcontext\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtools\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    192\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    193\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mproperty\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/crewai/task.py\u001b[0m in \u001b[0;36m_execute_core\u001b[0;34m(self, agent, context, tools)\u001b[0m\n\u001b[1;32m    245\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprocessed_by_agents\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madd\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0magent\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrole\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    246\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 247\u001b[0;31m         result = agent.execute_task(\n\u001b[0m\u001b[1;32m    248\u001b[0m             \u001b[0mtask\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    249\u001b[0m             \u001b[0mcontext\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcontext\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/crewai/agent.py\u001b[0m in \u001b[0;36mexecute_task\u001b[0;34m(self, task, context, tools)\u001b[0m\n\u001b[1;32m    246\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_times_executed\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmax_retry_limit\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    247\u001b[0m                 \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 248\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexecute_task\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtask\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcontext\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtools\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    249\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    250\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmax_rpm\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_rpm_controller\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/crewai/agent.py\u001b[0m in \u001b[0;36mexecute_task\u001b[0;34m(self, task, context, tools)\u001b[0m\n\u001b[1;32m    246\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_times_executed\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmax_retry_limit\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    247\u001b[0m                 \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 248\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexecute_task\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtask\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcontext\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtools\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    249\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    250\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmax_rpm\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_rpm_controller\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/crewai/agent.py\u001b[0m in \u001b[0;36mexecute_task\u001b[0;34m(self, task, context, tools)\u001b[0m\n\u001b[1;32m    245\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_times_executed\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    246\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_times_executed\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmax_retry_limit\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 247\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    248\u001b[0m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexecute_task\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtask\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcontext\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtools\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    249\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/crewai/agent.py\u001b[0m in \u001b[0;36mexecute_task\u001b[0;34m(self, task, context, tools)\u001b[0m\n\u001b[1;32m    234\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    235\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 236\u001b[0;31m             result = self.agent_executor.invoke(\n\u001b[0m\u001b[1;32m    237\u001b[0m                 {\n\u001b[1;32m    238\u001b[0m                     \u001b[0;34m\"input\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mtask_prompt\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/crewai/agents/crew_agent_executor.py\u001b[0m in \u001b[0;36minvoke\u001b[0;34m(self, inputs)\u001b[0m\n\u001b[1;32m     91\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     92\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mask_for_human_input\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbool\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"ask_for_human_input\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 93\u001b[0;31m         \u001b[0mformatted_answer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_invoke_loop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     94\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     95\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mask_for_human_input\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/crewai/agents/crew_agent_executor.py\u001b[0m in \u001b[0;36m_invoke_loop\u001b[0;34m(self, formatted_answer)\u001b[0m\n\u001b[1;32m    173\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_invoke_loop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mformatted_answer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    174\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 175\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    176\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    177\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_show_logs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mformatted_answer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/crewai/agents/crew_agent_executor.py\u001b[0m in \u001b[0;36m_invoke_loop\u001b[0;34m(self, formatted_answer)\u001b[0m\n\u001b[1;32m    113\u001b[0m             \u001b[0;32mwhile\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mformatted_answer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mAgentFinish\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    114\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrequest_within_rpm_limit\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrequest_within_rpm_limit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 115\u001b[0;31m                     answer = self.llm.call(\n\u001b[0m\u001b[1;32m    116\u001b[0m                         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmessages\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    117\u001b[0m                         \u001b[0mcallbacks\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcallbacks\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/crewai/llm.py\u001b[0m in \u001b[0;36mcall\u001b[0;34m(self, messages, callbacks)\u001b[0m\n\u001b[1;32m    153\u001b[0m                 \u001b[0mparams\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0mk\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mv\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mv\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mparams\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mv\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    154\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 155\u001b[0;31m                 \u001b[0mresponse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlitellm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcompletion\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mparams\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    156\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"choices\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"message\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"content\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    157\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/utils.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m   1011\u001b[0m                     \u001b[0me\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtraceback_exception\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstart_time\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mend_time\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1012\u001b[0m                 )  # DO NOT MAKE THREADED - router retry fallback relies on this!\n\u001b[0;32m-> 1013\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1014\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1015\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mwraps\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moriginal_function\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/utils.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    901\u001b[0m                     \u001b[0mprint_verbose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"Error while checking max token limit: {str(e)}\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    902\u001b[0m             \u001b[0;31m# MODEL CALL\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 903\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0moriginal_function\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    904\u001b[0m             \u001b[0mend_time\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdatetime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdatetime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    905\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;34m\"stream\"\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mkwargs\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"stream\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/main.py\u001b[0m in \u001b[0;36mcompletion\u001b[0;34m(model, messages, timeout, temperature, top_p, n, stream, stream_options, stop, max_completion_tokens, max_tokens, modalities, audio, presence_penalty, frequency_penalty, logit_bias, user, response_format, seed, tools, tool_choice, logprobs, top_logprobs, parallel_tool_calls, deployment_id, extra_headers, functions, function_call, base_url, api_version, api_key, model_list, **kwargs)\u001b[0m\n\u001b[1;32m   2997\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2998\u001b[0m         \u001b[0;31m## Map to OpenAI Exception\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2999\u001b[0;31m         raise exception_type(\n\u001b[0m\u001b[1;32m   3000\u001b[0m             \u001b[0mmodel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3001\u001b[0m             \u001b[0mcustom_llm_provider\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcustom_llm_provider\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/litellm_core_utils/exception_mapping_utils.py\u001b[0m in \u001b[0;36mexception_type\u001b[0;34m(model, original_exception, custom_llm_provider, completion_kwargs, extra_kwargs)\u001b[0m\n\u001b[1;32m   2114\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mexception_mapping_worked\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2115\u001b[0m             \u001b[0msetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"litellm_response_headers\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlitellm_response_headers\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2116\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2117\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2118\u001b[0m             \u001b[0;32mfor\u001b[0m \u001b[0merror_type\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mlitellm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLITELLM_EXCEPTION_TYPES\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/litellm/litellm_core_utils/exception_mapping_utils.py\u001b[0m in \u001b[0;36mexception_type\u001b[0;34m(model, original_exception, custom_llm_provider, completion_kwargs, extra_kwargs)\u001b[0m\n\u001b[1;32m    308\u001b[0m                 ):\n\u001b[1;32m    309\u001b[0m                     \u001b[0mexception_mapping_worked\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 310\u001b[0;31m                     raise AuthenticationError(\n\u001b[0m\u001b[1;32m    311\u001b[0m                         \u001b[0mmessage\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34mf\"AuthenticationError: {exception_provider} - {message}\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    312\u001b[0m                         \u001b[0mllm_provider\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcustom_llm_provider\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mAuthenticationError\u001b[0m: litellm.AuthenticationError: AuthenticationError: OpenAIException - The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "Bqox8e684xEx"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}