diff --git a/camel/functions/__init__.py b/camel/functions/__init__.py
index e87bfd328..4abb1cc4b 100644
--- a/camel/functions/__init__.py
+++ b/camel/functions/__init__.py
@@ -11,13 +11,16 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. ===========
-from .google_maps_function import MAP_FUNCS
-from .math_functions import MATH_FUNCS
+# ruff: noqa: I001
 from .openai_function import (
     OpenAIFunction,
     get_openai_function_schema,
     get_openai_tool_schema,
 )
+
+from .google_maps_function import MAP_FUNCS
+from .math_functions import MATH_FUNCS
+from .open_api_function import OPENAPI_FUNCS
 from .retrieval_functions import RETRIEVAL_FUNCS
 from .search_functions import SEARCH_FUNCS
 from .twitter_function import TWITTER_FUNCS
@@ -25,12 +28,13 @@
 
 __all__ = [
     'OpenAIFunction',
-    'get_openai_tool_schema',
     'get_openai_function_schema',
+    'get_openai_tool_schema',
+    'MAP_FUNCS',
     'MATH_FUNCS',
+    'OPENAPI_FUNCS',
+    'RETRIEVAL_FUNCS',
     'SEARCH_FUNCS',
-    'WEATHER_FUNCS',
-    'MAP_FUNCS',
     'TWITTER_FUNCS',
-    'RETRIEVAL_FUNCS',
+    'WEATHER_FUNCS',
 ]
diff --git a/camel/functions/open_api_function.py b/camel/functions/open_api_function.py
new file mode 100644
index 000000000..104cf9a25
--- /dev/null
+++ b/camel/functions/open_api_function.py
@@ -0,0 +1,380 @@
+# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. ===========
+# Licensed under the Apache License, Version 2.0 (the “License”);
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an “AS IS” BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. ===========
+import json
+import os
+from typing import Any, Callable, Dict, List, Tuple
+
+import prance
+import requests
+
+from camel.functions import OpenAIFunction
+from camel.types import OpenAPIName
+
+
+def parse_openapi_file(openapi_spec_path: str) -> Dict[str, Any]:
+    r"""Load and parse an OpenAPI specification file.
+
+    This function utilizes the `prance.ResolvingParser` to parse and resolve
+    the given OpenAPI specification file, returning the parsed OpenAPI
+    specification as a dictionary.
+
+    Args:
+        openapi_spec_path (str): The file path or URL to the OpenAPI
+            specification.
+
+    Returns:
+        Dict[str, Any]: The parsed OpenAPI specification as a dictionary.
+    """
+    # Load the OpenAPI spec
+    parser = prance.ResolvingParser(openapi_spec_path)
+    openapi_spec = parser.specification
+    return openapi_spec
+
+
+def openapi_spec_to_openai_schemas(
+    api_name: str, openapi_spec: Dict[str, Any]
+) -> List[Dict[str, Any]]:
+    r"""Convert OpenAPI specification to OpenAI schema format.
+
+    This function iterates over the paths and operations defined in an
+    OpenAPI specification, filtering out deprecated operations. For each
+    operation, it constructs a schema in a format suitable for OpenAI,
+    including operation metadata such as function name, description,
+    parameters, and request bodies. It raises a ValueError if an operation
+    lacks a description or summary.
+
+    Args:
+        api_name (str): The name of the API, used to prefix generated function
+            names.
+        openapi_spec (Dict[str, Any]): The OpenAPI specification as a
+            dictionary.
+
+    Returns:
+        List[Dict[str, Any]]: A list of dictionaries, each representing a
+            function in the OpenAI schema format, including details about the
+            function's name, description, and parameters.
+
+    Raises:
+        ValueError: If an operation in the OpenAPI specification does not have
+            a description or summary.
+
+    Note:
+        This function assumes that the OpenAPI specification follows the 3.0+
+            format.
+
+    Reference:
+        https://swagger.io/specification/
+    """
+    result = []
+
+    for path, path_item in openapi_spec.get('paths', {}).items():
+        for method, op in path_item.items():
+            if op.get('deprecated') is True:
+                continue
+
+            # Get the function name from the operationId
+            # or construct it from the API method, and path
+            function_name = f"{api_name}"
+            operation_id = op.get('operationId')
+            if operation_id:
+                function_name += f"_{operation_id}"
+            else:
+                function_name += f"{method}{path.replace('/', '_')}"
+
+            description = op.get('description') or op.get('summary')
+            if not description:
+                raise ValueError(
+                    f"{method} {path} Operation from {api_name} "
+                    f"does not have a description or summary."
+                )
+            description += " " if description[-1] != " " else ""
+            description += f"This function is from {api_name} API. "
+
+            # If the OpenAPI spec has a description,
+            # add it to the operation description
+            if 'description' in openapi_spec.get('info', {}):
+                description += f"{openapi_spec['info']['description']}"
+
+            # Get the parameters for the operation, if any
+            params = op.get('parameters', [])
+            properties: Dict[str, Any] = {}
+            required = []
+
+            for param in params:
+                if not param.get('deprecated', False):
+                    param_name = param['name'] + '_in_' + param['in']
+                    properties[param_name] = {}
+
+                    if 'description' in param:
+                        properties[param_name]['description'] = param[
+                            'description'
+                        ]
+
+                    if 'schema' in param:
+                        if (
+                            properties[param_name].get('description')
+                            and 'description' in param['schema']
+                        ):
+                            param['schema'].pop('description')
+                        properties[param_name].update(param['schema'])
+
+                    if param.get('required'):
+                        required.append(param_name)
+
+                    # If the property dictionary does not have a description,
+                    # use the parameter name as the description
+                    if 'description' not in properties[param_name]:
+                        properties[param_name]['description'] = param['name']
+
+                    if 'type' not in properties[param_name]:
+                        properties[param_name]['type'] = 'Any'
+
+            # Process requestBody if present
+            if 'requestBody' in op:
+                properties['requestBody'] = {}
+                requestBody = op['requestBody']
+                if requestBody.get('required') is True:
+                    required.append('requestBody')
+
+                content = requestBody.get('content', {})
+                json_content = content.get('application/json', {})
+                json_schema = json_content.get('schema', {})
+                if json_schema:
+                    properties['requestBody'] = json_schema
+                if 'description' not in properties['requestBody']:
+                    properties['requestBody']['description'] = (
+                        "The request body, with parameters specifically "
+                        "described under the `properties` key"
+                    )
+
+            function = {
+                "type": "function",
+                "function": {
+                    "name": function_name,
+                    "description": description,
+                    "parameters": {
+                        "type": "object",
+                        "properties": properties,
+                        "required": required,
+                    },
+                },
+            }
+            result.append(function)
+
+    return result  # Return the result list
+
+
+def openapi_function_decorator(
+    base_url: str, path: str, method: str, operation: Dict[str, Any]
+) -> Callable:
+    r"""Decorate a function to make HTTP requests based on OpenAPI operation
+    details.
+
+    This decorator takes the base URL, path, HTTP method, and operation details
+    from an OpenAPI specification, and returns a decorator. The decorated
+    function can then be called with keyword arguments corresponding to the
+    operation's parameters. The decorator handles constructing the request URL,
+    setting headers, query parameters, and the request body as specified by the
+    operation details.
+
+    Args:
+        base_url (str): The base URL for the API.
+        path (str): The path for the API endpoint, relative to the base URL.
+        method (str): The HTTP method (e.g., 'get', 'post') for the request.
+        operation (Dict[str, Any]): A dictionary containing the OpenAPI
+            operation details, including parameters and request body
+            definitions.
+
+    Returns:
+        Callable: A decorator that, when applied to a function, enables the
+            function to make HTTP requests based on the provided OpenAPI
+            operation details.
+    """
+
+    def inner_decorator(openapi_function: Callable) -> Callable:
+        def wrapper(**kwargs):
+            request_url = f"{base_url.rstrip('/')}/{path.lstrip('/')}"
+            headers = {}
+            params = {}
+            cookies = {}
+
+            # Assign parameters to the correct position
+            for param in operation.get('parameters', []):
+                input_param_name = param['name'] + '_in_' + param['in']
+                # Irrelevant arguments does not affect function operation
+                if input_param_name in kwargs:
+                    if param['in'] == 'path':
+                        request_url = request_url.replace(
+                            f"{{{param['name']}}}",
+                            str(kwargs[input_param_name]),
+                        )
+                    elif param['in'] == 'query':
+                        params[param['name']] = kwargs[input_param_name]
+                    elif param['in'] == 'header':
+                        headers[param['name']] = kwargs[input_param_name]
+                    elif param['in'] == 'cookie':
+                        cookies[param['name']] = kwargs[input_param_name]
+
+            if 'requestBody' in operation:
+                request_body = kwargs.get('requestBody', {})
+                content_type_list = list(
+                    operation.get('requestBody', {}).get('content', {}).keys()
+                )
+                if content_type_list:
+                    content_type = content_type_list[0]
+                    headers.update({"Content-Type": content_type})
+
+                # send the request body based on the Content-Type
+                if content_type == "application/json":
+                    response = requests.request(
+                        method.upper(),
+                        request_url,
+                        params=params,
+                        headers=headers,
+                        cookies=cookies,
+                        json=request_body,
+                    )
+                else:
+                    raise ValueError(
+                        f"Unsupported content type: {content_type}"
+                    )
+            else:
+                # If there is no requestBody, no request body is sent
+                response = requests.request(
+                    method.upper(),
+                    request_url,
+                    params=params,
+                    headers=headers,
+                    cookies=cookies,
+                )
+
+            try:
+                return response.json()
+            except json.JSONDecodeError:
+                raise ValueError(
+                    "Response could not be decoded as JSON. "
+                    "Please check the input parameters."
+                )
+
+        return wrapper
+
+    return inner_decorator
+
+
+def generate_openapi_funcs(
+    api_name: str, openapi_spec: Dict[str, Any]
+) -> List[Callable]:
+    r"""Generates a list of Python functions based on an OpenAPI specification.
+
+    This function dynamically creates a list of callable functions that
+    represent the API operations defined in an OpenAPI specification document.
+    Each function is designed to perform an HTTP request corresponding to an
+    API operation (e.g., GET, POST) as defined in the specification. The
+    functions are decorated with `openapi_function_decorator`, which
+    configures them to construct and send the HTTP requests with appropriate
+    parameters, headers, and body content.
+
+    Args:
+        api_name (str): The name of the API, used to prefix generated function
+            names.
+        openapi_spec (Dict[str, Any]): The OpenAPI specification as a
+            dictionary.
+
+    Returns:
+        List[Callable]: A list containing the generated functions. Each
+            function, when called, will make an HTTP request according to its
+            corresponding API operation defined in the OpenAPI specification.
+
+    Raises:
+        ValueError: If the OpenAPI specification does not contain server
+            information, which is necessary for determining the base URL for
+            the API requests.
+    """
+    # Check server information
+    servers = openapi_spec.get('servers', [])
+    if not servers:
+        raise ValueError("No server information found in OpenAPI spec.")
+    base_url = servers[0].get('url')  # Use the first server URL
+
+    functions = []
+
+    # Traverse paths and methods
+    for path, methods in openapi_spec.get('paths', {}).items():
+        for method, operation in methods.items():
+            # Get the function name from the operationId
+            # or construct it from the API method, and path
+            operation_id = operation.get('operationId')
+            if operation_id:
+                function_name = f"{api_name}_{operation_id}"
+            else:
+                sanitized_path = path.replace('/', '_').strip('_')
+                function_name = f"{api_name}_{method}_{sanitized_path}"
+
+            @openapi_function_decorator(base_url, path, method, operation)
+            def openapi_function(**kwargs):
+                pass
+
+            openapi_function.__name__ = function_name
+
+            functions.append(openapi_function)
+
+    return functions
+
+
+def combine_all_funcs_schemas() -> Tuple[List[Callable], List[Dict[str, Any]]]:
+    r"""Combines functions and schemas from multiple OpenAPI specifications.
+
+    Iterates over a list of OpenAPI specs, parses each, and generates functions
+    and schemas based on the defined operations and schemas respectively.
+    Assumes specification files are named 'openapi.yaml' located in
+    `open_api_specs/<api_name>/`.
+
+    Returns:
+        Tuple[List[Callable], List[Dict[str, Any]]]:: one of callable
+            functions for API operations, and another of dictionaries
+            representing the schemas from the specifications.
+    """
+    combined_func_lst = []
+    combined_schemas_list = []
+
+    for api_name in OpenAPIName:
+        # Parse the OpenAPI specification for each API
+        current_dir = os.path.dirname(__file__)
+        spec_file_path = os.path.join(
+            current_dir, 'open_api_specs', f'{api_name.value}', 'openapi.yaml'
+        )
+
+        openapi_spec = parse_openapi_file(spec_file_path)
+
+        # Generate and merge function schemas
+        openapi_functions_schemas = openapi_spec_to_openai_schemas(
+            api_name.value, openapi_spec
+        )
+        combined_schemas_list.extend(openapi_functions_schemas)
+
+        # Generate and merge function lists
+        openapi_functions_list = generate_openapi_funcs(
+            api_name.value, openapi_spec
+        )
+        combined_func_lst.extend(openapi_functions_list)
+
+    return combined_func_lst, combined_schemas_list
+
+
+combined_funcs_lst, combined_schemas_list = combine_all_funcs_schemas()
+
+OPENAPI_FUNCS: List[OpenAIFunction] = [
+    OpenAIFunction(a_func, a_schema)
+    for a_func, a_schema in zip(combined_funcs_lst, combined_schemas_list)
+]
diff --git a/camel/functions/open_api_specs/coursera/__init__.py b/camel/functions/open_api_specs/coursera/__init__.py
new file mode 100644
index 000000000..d963f8cc8
--- /dev/null
+++ b/camel/functions/open_api_specs/coursera/__init__.py
@@ -0,0 +1,13 @@
+# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. ===========
+# Licensed under the Apache License, Version 2.0 (the “License”);
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an “AS IS” BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. ===========
diff --git a/camel/functions/open_api_specs/coursera/openapi.yaml b/camel/functions/open_api_specs/coursera/openapi.yaml
new file mode 100644
index 000000000..82a278103
--- /dev/null
+++ b/camel/functions/open_api_specs/coursera/openapi.yaml
@@ -0,0 +1,82 @@
+openapi: 3.0.1
+info:
+  title: Search API
+  version: v1
+  description: Find recommendation for courses, specializations, and degrees on Coursera.
+servers:
+  - url: https://www.coursera.org
+    description: API schema for search APIs exposed to 3rd party services (e.g. OpenAI)
+tags:
+  - name: SearchV1Controller
+    description: the Search V1 Controller API
+paths:
+  /api/rest/v1/search:
+    post:
+      summary:
+        A public API that searches the Coursera catalog for products (e.g. courses) that
+        are relevant to the provided query string.
+      tags:
+        - search-v1-controller
+      operationId:
+        search
+      requestBody:
+        content:
+          application/json:
+            schema:
+              $ref: '#/components/schemas/SearchQuery'
+        required: true
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/SearchResponse'
+components:
+  schemas:
+    SearchQuery:
+      type: object
+      properties:
+        query:
+          type: string
+      required:
+        - query
+      example:
+        query: machine learning
+    SearchResponse:
+      properties:
+        hits:
+          type: array
+          items:
+            $ref: '#/components/schemas/SearchHit'
+    SearchHit:
+      type: object
+      properties:
+        name:
+          type: string
+        partners:
+          type: array
+          items:
+            type: string
+        duration:
+          type: string
+        partnerLogos:
+          type: array
+          items:
+            type: string
+        productDifficultyLevel:
+          type: string
+        entityType:
+          type: string
+        avgProductRating:
+          type: string
+        skills:
+          type: string
+        imageUrl:
+          type: string
+        isCourseFree:
+          type: string
+        isPartOfCourseraPlus:
+          type: string
+        objectUrl:
+          type: string
diff --git a/camel/functions/open_api_specs/klarna/__init__.py b/camel/functions/open_api_specs/klarna/__init__.py
new file mode 100644
index 000000000..d963f8cc8
--- /dev/null
+++ b/camel/functions/open_api_specs/klarna/__init__.py
@@ -0,0 +1,13 @@
+# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. ===========
+# Licensed under the Apache License, Version 2.0 (the “License”);
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an “AS IS” BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. ===========
diff --git a/camel/functions/open_api_specs/klarna/openapi.yaml b/camel/functions/open_api_specs/klarna/openapi.yaml
new file mode 100644
index 000000000..0cd1d5651
--- /dev/null
+++ b/camel/functions/open_api_specs/klarna/openapi.yaml
@@ -0,0 +1,87 @@
+---
+openapi: 3.0.1
+info:
+  version: v0
+  title: Open AI Klarna product Api
+  description: Search and compare prices from thousands of online shops. Only available in the US.
+servers:
+- url: https://www.klarna.com/us/shopping
+tags:
+- name: open-ai-product-endpoint
+  description: Open AI Product Endpoint. Query for products.
+paths:
+  "/public/openai/v0/products":
+    get:
+      tags:
+      - open-ai-product-endpoint
+      summary: API for fetching Klarna product information
+      operationId: productsUsingGET
+      parameters:
+      - name: q
+        in: query
+        description: A precise query that matches one very small category or product
+          that needs to be searched for to find the products the user is looking for.
+          If the user explicitly stated what they want, use that as a query. The query
+          is as specific as possible to the product name or category mentioned by
+          the user in its singular form, and don't contain any clarifiers like latest,
+          newest, cheapest, budget, premium, expensive or similar. The query is always
+          taken from the latest topic, if there is a new topic a new query is started.
+        required: true
+        schema:
+          type: string
+      - name: size
+        in: query
+        description: number of products returned
+        required: false
+        schema:
+          type: integer
+      - name: min_price
+        in: query
+        description: "(Optional) Minimum price in local currency for the product searched
+          for. Either explicitly stated by the user or implicitly inferred from a
+          combination of the user's request and the kind of product searched for."
+        required: false
+        schema:
+          type: integer
+      - name: max_price
+        in: query
+        description: "(Optional) Maximum price in local currency for the product searched
+          for. Either explicitly stated by the user or implicitly inferred from a
+          combination of the user's request and the kind of product searched for."
+        required: false
+        schema:
+          type: integer
+      responses:
+        '200':
+          description: Products found
+          content:
+            application/json:
+              schema:
+                "$ref": "#/components/schemas/ProductResponse"
+        '503':
+          description: one or more services are unavailable
+      deprecated: false
+components:
+  schemas:
+    Product:
+      type: object
+      properties:
+        attributes:
+          type: array
+          items:
+            type: string
+        name:
+          type: string
+        price:
+          type: string
+        url:
+          type: string
+      title: Product
+    ProductResponse:
+      type: object
+      properties:
+        products:
+          type: array
+          items:
+            "$ref": "#/components/schemas/Product"
+      title: ProductResponse
diff --git a/camel/functions/open_api_specs/speak/__init__.py b/camel/functions/open_api_specs/speak/__init__.py
new file mode 100644
index 000000000..d963f8cc8
--- /dev/null
+++ b/camel/functions/open_api_specs/speak/__init__.py
@@ -0,0 +1,13 @@
+# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. ===========
+# Licensed under the Apache License, Version 2.0 (the “License”);
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an “AS IS” BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. ===========
diff --git a/camel/functions/open_api_specs/speak/openapi.yaml b/camel/functions/open_api_specs/speak/openapi.yaml
new file mode 100644
index 000000000..77b701082
--- /dev/null
+++ b/camel/functions/open_api_specs/speak/openapi.yaml
@@ -0,0 +1,151 @@
+openapi: 3.0.1
+info:
+  title: Speak
+  description: Learn how to say anything in another language with Speak, your AI-powered language tutor.
+  version: 'v1'
+servers:
+  - url: https://api.speak.com
+paths:
+  /v1/public/openai/translate:
+    post:
+      operationId: translate
+      summary: Translate and explain how to say a specific phrase or word in another language.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: '#/components/schemas/translateRequest'
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/translateResponse'
+  /v1/public/openai/explain-phrase:
+    post:
+      operationId: explainPhrase
+      summary: Explain the meaning and usage of a specific foreign language phrase that the user is asking about.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: '#/components/schemas/explainPhraseRequest'
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/explainPhraseResponse'
+  /v1/public/openai/explain-task:
+    post:
+      operationId: explainTask
+      summary: Explain the best way to say or do something in a specific situation or context with a foreign language. Use this endpoint when the user asks more general or high-level questions.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: '#/components/schemas/explainTaskRequest'
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/explainTaskResponse'
+components:
+  schemas:
+    translateRequest:
+      type: object
+      required:
+        - phrase_to_translate
+        - learning_language
+        - native_language
+        - additional_context
+        - full_query
+      properties:
+        phrase_to_translate:
+          type: string
+          description: Phrase or concept to translate into the foreign language and explain further.
+        learning_language:
+          type: string
+          description: The foreign language that the user is learning and asking about. Always use the full name of the language (e.g. Spanish, French).
+        native_language:
+          type: string
+          description: The user's native language. Infer this value from the language the user asked their question in. Always use the full name of the language (e.g. Spanish, French).
+        additional_context:
+          type: string
+          description: A description of any additional context in the user's question that could affect the explanation - e.g. setting, scenario, situation, tone, speaking style and formality, usage notes, or any other qualifiers.
+        full_query:
+          type: string
+          description: Full text of the user's question.
+    translateResponse:
+      type: object
+      properties:
+        explanation:
+          type: string
+          description: An explanation of how to say the input phrase in the foreign language.
+    explainPhraseRequest:
+      type: object
+      required:
+        - foreign_phrase
+        - learning_language
+        - native_language
+        - additional_context
+        - full_query
+      properties:
+        foreign_phrase:
+          type: string
+          description: Foreign language phrase or word that the user wants an explanation for.
+        learning_language:
+          type: string
+          description: The language that the user is asking their language question about. The value can be inferred from question - e.g. for "Somebody said no mames to me, what does that mean", the value should be "Spanish" because "no mames" is a Spanish phrase. Always use the full name of the language (e.g. Spanish, French).
+        native_language:
+          type: string
+          description: The user's native language. Infer this value from the language the user asked their question in. Always use the full name of the language (e.g. Spanish, French).
+        additional_context:
+          type: string
+          description: A description of any additional context in the user's question that could affect the explanation - e.g. setting, scenario, situation, tone, speaking style and formality, usage notes, or any other qualifiers.
+        full_query:
+          type: string
+          description: Full text of the user's question.
+    explainPhraseResponse:
+      type: object
+      properties:
+        explanation:
+          type: string
+          description: An explanation of what the foreign language phrase means, and when you might use it.
+    explainTaskRequest:
+      type: object
+      required:
+        - task_description
+        - learning_language
+        - native_language
+        - additional_context
+        - full_query
+      properties:
+        task_description:
+          type: string
+          description: Description of the task that the user wants to accomplish or do. For example, "tell the waiter they messed up my order" or "compliment someone on their shirt"
+        learning_language:
+          type: string
+          description: The foreign language that the user is learning and asking about. The value can be inferred from question - for example, if the user asks "how do i ask a girl out in mexico city", the value should be "Spanish" because of Mexico City. Always use the full name of the language (e.g. Spanish, French).
+        native_language:
+          type: string
+          description: The user's native language. Infer this value from the language the user asked their question in. Always use the full name of the language (e.g. Spanish, French).
+        additional_context:
+          type: string
+          description: A description of any additional context in the user's question that could affect the explanation - e.g. setting, scenario, situation, tone, speaking style and formality, usage notes, or any other qualifiers.
+        full_query:
+          type: string
+          description: Full text of the user's question.
+    explainTaskResponse:
+      type: object
+      properties:
+        explanation:
+          type: string
+          description: An explanation of the best thing to say in the foreign language to accomplish the task described in the user's question.
diff --git a/camel/types/__init__.py b/camel/types/__init__.py
index 15b05f673..cb7bbe9a4 100644
--- a/camel/types/__init__.py
+++ b/camel/types/__init__.py
@@ -17,6 +17,7 @@
     OpenAIBackendRole,
     OpenAIImageDetailType,
     OpenAIImageType,
+    OpenAPIName,
     RoleType,
     StorageType,
     TaskType,
@@ -57,4 +58,5 @@
     'CompletionUsage',
     'OpenAIImageType',
     'OpenAIImageDetailType',
+    'OpenAPIName',
 ]
diff --git a/camel/types/enums.py b/camel/types/enums.py
index e8a4409bd..f4cd7ff1e 100644
--- a/camel/types/enums.py
+++ b/camel/types/enums.py
@@ -247,3 +247,9 @@ class OpenAIImageDetailType(Enum):
 class StorageType(Enum):
     MILVUS = "milvus"
     QDRANT = "qdrant"
+
+
+class OpenAPIName(Enum):
+    COURSERA = "coursera"
+    KLARNA = "klarna"
+    SPEAK = "speak"
diff --git a/camel/utils/commons.py b/camel/utils/commons.py
index ef5d40bea..418525aa4 100644
--- a/camel/utils/commons.py
+++ b/camel/utils/commons.py
@@ -34,6 +34,7 @@ def get_lazy_imported_functions_module():
     from camel.functions import (
         MAP_FUNCS,
         MATH_FUNCS,
+        OPENAPI_FUNCS,
         SEARCH_FUNCS,
         TWITTER_FUNCS,
         WEATHER_FUNCS,
@@ -45,6 +46,7 @@ def get_lazy_imported_functions_module():
         *WEATHER_FUNCS,
         *MAP_FUNCS,
         *TWITTER_FUNCS,
+        *OPENAPI_FUNCS,
     ]
 
 
@@ -270,7 +272,8 @@ def role_playing_with_function(
         "and get the current weather of the city where "
         "the University is located. And tell me what time "
         "zone University of Oxford is in. And use my twitter "
-        "account infomation to create a tweet. "
+        "account infomation to create a tweet. Search basketball"
+        "course from coursera And help me to choose a basketball by klarna."
     ),
     function_list: Optional[List] = None,
     model_type=None,
diff --git a/poetry.lock b/poetry.lock
index 4e4e8de70..443b973ab 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -272,63 +272,6 @@ doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphin
 test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
 trio = ["trio (>=0.23)"]
 
-[[package]]
-name = "argon2-cffi"
-version = "23.1.0"
-description = "Argon2 for Python"
-optional = true
-python-versions = ">=3.7"
-files = [
-    {file = "argon2_cffi-23.1.0-py3-none-any.whl", hash = "sha256:c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea"},
-    {file = "argon2_cffi-23.1.0.tar.gz", hash = "sha256:879c3e79a2729ce768ebb7d36d4609e3a78a4ca2ec3a9f12286ca057e3d0db08"},
-]
-
-[package.dependencies]
-argon2-cffi-bindings = "*"
-
-[package.extras]
-dev = ["argon2-cffi[tests,typing]", "tox (>4)"]
-docs = ["furo", "myst-parser", "sphinx", "sphinx-copybutton", "sphinx-notfound-page"]
-tests = ["hypothesis", "pytest"]
-typing = ["mypy"]
-
-[[package]]
-name = "argon2-cffi-bindings"
-version = "21.2.0"
-description = "Low-level CFFI bindings for Argon2"
-optional = true
-python-versions = ">=3.6"
-files = [
-    {file = "argon2-cffi-bindings-21.2.0.tar.gz", hash = "sha256:bb89ceffa6c791807d1305ceb77dbfacc5aa499891d2c55661c6459651fc39e3"},
-    {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:ccb949252cb2ab3a08c02024acb77cfb179492d5701c7cbdbfd776124d4d2367"},
-    {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9524464572e12979364b7d600abf96181d3541da11e23ddf565a32e70bd4dc0d"},
-    {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b746dba803a79238e925d9046a63aa26bf86ab2a2fe74ce6b009a1c3f5c8f2ae"},
-    {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:58ed19212051f49a523abb1dbe954337dc82d947fb6e5a0da60f7c8471a8476c"},
-    {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:bd46088725ef7f58b5a1ef7ca06647ebaf0eb4baff7d1d0d177c6cc8744abd86"},
-    {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-musllinux_1_1_i686.whl", hash = "sha256:8cd69c07dd875537a824deec19f978e0f2078fdda07fd5c42ac29668dda5f40f"},
-    {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:f1152ac548bd5b8bcecfb0b0371f082037e47128653df2e8ba6e914d384f3c3e"},
-    {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-win32.whl", hash = "sha256:603ca0aba86b1349b147cab91ae970c63118a0f30444d4bc80355937c950c082"},
-    {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-win_amd64.whl", hash = "sha256:b2ef1c30440dbbcba7a5dc3e319408b59676e2e039e2ae11a8775ecf482b192f"},
-    {file = "argon2_cffi_bindings-21.2.0-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:e415e3f62c8d124ee16018e491a009937f8cf7ebf5eb430ffc5de21b900dad93"},
-    {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:3e385d1c39c520c08b53d63300c3ecc28622f076f4c2b0e6d7e796e9f6502194"},
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-    {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:3b9ef65804859d335dc6b31582cad2c5166f0c3e7975f324d9ffaa34ee7e6583"},
-    {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d4966ef5848d820776f5f562a7d45fdd70c2f330c961d0d745b784034bd9f48d"},
-    {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:20ef543a89dee4db46a1a6e206cd015360e5a75822f76df533845c3cbaf72670"},
-    {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ed2937d286e2ad0cc79a7087d3c272832865f779430e0cc2b4f3718d3159b0cb"},
-    {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:5e00316dabdaea0b2dd82d141cc66889ced0cdcbfa599e8b471cf22c620c329a"},
-]
-
-[package.dependencies]
-cffi = ">=1.0.1"
-
-[package.extras]
-dev = ["cogapp", "pre-commit", "pytest", "wheel"]
-tests = ["pytest"]
-
 [[package]]
 name = "async-timeout"
 version = "4.0.3"
@@ -359,45 +302,6 @@ tests = ["attrs[tests-no-zope]", "zope-interface"]
 tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
 tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
 
-[[package]]
-name = "azure-core"
-version = "1.30.1"
-description = "Microsoft Azure Core Library for Python"
-optional = true
-python-versions = ">=3.7"
-files = [
-    {file = "azure-core-1.30.1.tar.gz", hash = "sha256:26273a254131f84269e8ea4464f3560c731f29c0c1f69ac99010845f239c1a8f"},
-    {file = "azure_core-1.30.1-py3-none-any.whl", hash = "sha256:7c5ee397e48f281ec4dd773d67a0a47a0962ed6fa833036057f9ea067f688e74"},
-]
-
-[package.dependencies]
-requests = ">=2.21.0"
-six = ">=1.11.0"
-typing-extensions = ">=4.6.0"
-
-[package.extras]
-aio = ["aiohttp (>=3.0)"]
-
-[[package]]
-name = "azure-storage-blob"
-version = "12.20.0"
-description = "Microsoft Azure Blob Storage Client Library for Python"
-optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "azure-storage-blob-12.20.0.tar.gz", hash = "sha256:eeb91256e41d4b5b9bad6a87fd0a8ade07dd58aa52344e2c8d2746e27a017d3b"},
-    {file = "azure_storage_blob-12.20.0-py3-none-any.whl", hash = "sha256:de6b3bf3a90e9341a6bcb96a2ebe981dffff993e9045818f6549afea827a52a9"},
-]
-
-[package.dependencies]
-azure-core = ">=1.28.0"
-cryptography = ">=2.1.4"
-isodate = ">=0.6.1"
-typing-extensions = ">=4.6.0"
-
-[package.extras]
-aio = ["azure-core[aio] (>=1.28.0)"]
-
 [[package]]
 name = "babel"
 version = "2.15.0"
@@ -2048,20 +1952,6 @@ typing_extensions = "*"
 [package.extras]
 aws = ["boto3"]
 
-[[package]]
-name = "isodate"
-version = "0.6.1"
-description = "An ISO 8601 date/time/duration parser and formatter"
-optional = true
-python-versions = "*"
-files = [
-    {file = "isodate-0.6.1-py2.py3-none-any.whl", hash = "sha256:0751eece944162659049d35f4f549ed815792b38793f07cf73381c1c87cbed96"},
-    {file = "isodate-0.6.1.tar.gz", hash = "sha256:48c5881de7e8b0a0d648cb024c8062dc84e7b840ed81e864c7614fd3c127bde9"},
-]
-
-[package.dependencies]
-six = "*"
-
 [[package]]
 name = "jaraco-context"
 version = "5.3.0"
@@ -2131,6 +2021,23 @@ rpds-py = ">=0.7.1"
 format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
 format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"]
 
+[[package]]
+name = "jsonschema-path"
+version = "0.3.2"
+description = "JSONSchema Spec with object-oriented paths"
+optional = true
+python-versions = ">=3.8.0,<4.0.0"
+files = [
+    {file = "jsonschema_path-0.3.2-py3-none-any.whl", hash = "sha256:271aedfefcd161a0f467bdf23e1d9183691a61eaabf4b761046a914e369336c7"},
+    {file = "jsonschema_path-0.3.2.tar.gz", hash = "sha256:4d0dababf341e36e9b91a5fb2a3e3fd300b0150e7fe88df4e55cc8253c5a3989"},
+]
+
+[package.dependencies]
+pathable = ">=0.4.1,<0.5.0"
+PyYAML = ">=5.1"
+referencing = ">=0.28.0,<0.32.0"
+requests = ">=2.31.0,<3.0.0"
+
 [[package]]
 name = "jsonschema-specifications"
 version = "2023.12.1"
@@ -2307,6 +2214,52 @@ ocr = ["google-cloud-vision (==1)", "pytesseract"]
 paddledetection = ["paddlepaddle (==2.1.0)"]
 tesseract = ["pytesseract"]
 
+[[package]]
+name = "lazy-object-proxy"
+version = "1.10.0"
+description = "A fast and thorough lazy object proxy."
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "lazy-object-proxy-1.10.0.tar.gz", hash = "sha256:78247b6d45f43a52ef35c25b5581459e85117225408a4128a3daf8bf9648ac69"},
+    {file = "lazy_object_proxy-1.10.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:855e068b0358ab916454464a884779c7ffa312b8925c6f7401e952dcf3b89977"},
+    {file = "lazy_object_proxy-1.10.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7ab7004cf2e59f7c2e4345604a3e6ea0d92ac44e1c2375527d56492014e690c3"},
+    {file = "lazy_object_proxy-1.10.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dc0d2fc424e54c70c4bc06787e4072c4f3b1aa2f897dfdc34ce1013cf3ceef05"},
+    {file = "lazy_object_proxy-1.10.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:e2adb09778797da09d2b5ebdbceebf7dd32e2c96f79da9052b2e87b6ea495895"},
+    {file = "lazy_object_proxy-1.10.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:b1f711e2c6dcd4edd372cf5dec5c5a30d23bba06ee012093267b3376c079ec83"},
+    {file = "lazy_object_proxy-1.10.0-cp310-cp310-win32.whl", hash = "sha256:76a095cfe6045c7d0ca77db9934e8f7b71b14645f0094ffcd842349ada5c5fb9"},
+    {file = "lazy_object_proxy-1.10.0-cp310-cp310-win_amd64.whl", hash = "sha256:b4f87d4ed9064b2628da63830986c3d2dca7501e6018347798313fcf028e2fd4"},
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+    {file = "lazy_object_proxy-1.10.0-cp311-cp311-win_amd64.whl", hash = "sha256:e271058822765ad5e3bca7f05f2ace0de58a3f4e62045a8c90a0dfd2f8ad8cc6"},
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+]
+
 [[package]]
 name = "lxml"
 version = "5.2.2"
@@ -2671,23 +2624,17 @@ files = [
 ]
 
 [[package]]
-name = "minio"
-version = "7.2.7"
-description = "MinIO Python SDK for Amazon S3 Compatible Cloud Storage"
+name = "milvus-lite"
+version = "2.4.3"
+description = "A lightweight version of Milvus wrapped with Python."
 optional = true
-python-versions = "*"
+python-versions = ">=3.7"
 files = [
-    {file = "minio-7.2.7-py3-none-any.whl", hash = "sha256:59d1f255d852fe7104018db75b3bebbd987e538690e680f7c5de835e422de837"},
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 ]
 
-[package.dependencies]
-argon2-cffi = "*"
-certifi = "*"
-pycryptodome = "*"
-typing-extensions = "*"
-urllib3 = "*"
-
 [[package]]
 name = "mock"
 version = "5.1.0"
@@ -3238,13 +3185,13 @@ sympy = "*"
 
 [[package]]
 name = "openai"
-version = "1.29.0"
+version = "1.30.1"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
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+    {file = "openai-1.30.1-py3-none-any.whl", hash = "sha256:c9fb3c3545c118bbce8deb824397b9433a66d0d0ede6a96f7009c95b76de4a46"},
+    {file = "openai-1.30.1.tar.gz", hash = "sha256:4f85190e577cba0b066e1950b8eb9b11d25bc7ebcc43a86b326ce1bfa564ec74"},
 ]
 
 [package.dependencies]
@@ -3259,6 +3206,40 @@ typing-extensions = ">=4.7,<5"
 [package.extras]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
+[[package]]
+name = "openapi-schema-validator"
+version = "0.6.2"
+description = "OpenAPI schema validation for Python"
+optional = true
+python-versions = ">=3.8.0,<4.0.0"
+files = [
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+    {file = "openapi_schema_validator-0.6.2.tar.gz", hash = "sha256:11a95c9c9017912964e3e5f2545a5b11c3814880681fcacfb73b1759bb4f2804"},
+]
+
+[package.dependencies]
+jsonschema = ">=4.19.1,<5.0.0"
+jsonschema-specifications = ">=2023.5.2,<2024.0.0"
+rfc3339-validator = "*"
+
+[[package]]
+name = "openapi-spec-validator"
+version = "0.7.1"
+description = "OpenAPI 2.0 (aka Swagger) and OpenAPI 3 spec validator"
+optional = true
+python-versions = ">=3.8.0,<4.0.0"
+files = [
+    {file = "openapi_spec_validator-0.7.1-py3-none-any.whl", hash = "sha256:3c81825043f24ccbcd2f4b149b11e8231abce5ba84f37065e14ec947d8f4e959"},
+    {file = "openapi_spec_validator-0.7.1.tar.gz", hash = "sha256:8577b85a8268685da6f8aa30990b83b7960d4d1117e901d451b5d572605e5ec7"},
+]
+
+[package.dependencies]
+importlib-resources = {version = ">=5.8,<7.0", markers = "python_version < \"3.9\""}
+jsonschema = ">=4.18.0,<5.0.0"
+jsonschema-path = ">=0.3.1,<0.4.0"
+lazy-object-proxy = ">=1.7.1,<2.0.0"
+openapi-schema-validator = ">=0.6.0,<0.7.0"
+
 [[package]]
 name = "opencv-python"
 version = "4.9.0.80"
@@ -3432,6 +3413,17 @@ sql-other = ["SQLAlchemy (>=1.4.16)"]
 test = ["hypothesis (>=6.34.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)"]
 xml = ["lxml (>=4.6.3)"]
 
+[[package]]
+name = "pathable"
+version = "0.4.3"
+description = "Object-oriented paths"
+optional = true
+python-versions = ">=3.7.0,<4.0.0"
+files = [
+    {file = "pathable-0.4.3-py3-none-any.whl", hash = "sha256:cdd7b1f9d7d5c8b8d3315dbf5a86b2596053ae845f056f57d97c0eefff84da14"},
+    {file = "pathable-0.4.3.tar.gz", hash = "sha256:5c869d315be50776cc8a993f3af43e0c60dc01506b399643f919034ebf4cdcab"},
+]
+
 [[package]]
 name = "pathlib"
 version = "1.0.1"
@@ -3592,13 +3584,13 @@ files = [
 
 [[package]]
 name = "platformdirs"
-version = "4.2.1"
+version = "4.2.2"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -3640,6 +3632,32 @@ docs = ["sphinx (>=1.7.1)"]
 redis = ["redis"]
 tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "pytest-mypy (>=0.8.0)", "pytest-timeout (>=2.1.0)", "redis", "sphinx (>=6.0.0)", "types-redis"]
 
+[[package]]
+name = "prance"
+version = "23.6.21.0"
+description = "Resolving Swagger/OpenAPI 2.0 and 3.0.0 Parser"
+optional = true
+python-versions = ">=3.8"
+files = [
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+    {file = "prance-23.6.21.0.tar.gz", hash = "sha256:d8c15f8ac34019751cc4945f866d8d964d7888016d10de3592e339567177cabe"},
+]
+
+[package.dependencies]
+chardet = ">=3.0"
+packaging = ">=21.3"
+requests = ">=2.25"
+"ruamel.yaml" = ">=0.17.10"
+six = ">=1.15,<2.0"
+
+[package.extras]
+cli = ["click (>=7.0)"]
+dev = ["bumpversion (>=0.6)", "pytest (>=6.1)", "pytest-cov (>=2.11)", "sphinx (>=3.4)", "towncrier (>=19.2)", "tox (>=3.4)"]
+flex = ["flex (>=6.13,<7.0)"]
+icu = ["PyICU (>=2.4,<3.0)"]
+osv = ["openapi-spec-validator (>=0.5.1,<0.6.0)"]
+ssv = ["swagger-spec-validator (>=2.4,<3.0)"]
+
 [[package]]
 name = "pre-commit"
 version = "3.5.0"
@@ -3708,47 +3726,47 @@ test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
 
 [[package]]
 name = "pyarrow"
-version = "16.0.0"
+version = "16.1.0"
 description = "Python library for Apache Arrow"
 optional = true
 python-versions = ">=3.8"
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 [[package]]
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 version = "2.7.1"
@@ -4014,32 +3991,29 @@ windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
 name = "pymilvus"
-version = "2.4.1"
+version = "2.4.2"
 description = "Python Sdk for Milvus"
 optional = true
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
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 environs = "<=9.5.0"
 grpcio = ">=1.49.1,<=1.60.0"
-minio = ">=7.0.0"
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 numpy = {version = "<1.25.0", markers = "python_version <= \"3.8\""}
 pandas = ">=1.2.4"
 protobuf = ">=3.20.0"
-pyarrow = ">=12.0.0"
-requests = "*"
-scipy = "*"
 setuptools = ">=67"
 ujson = ">=2.0.0"
 
 [package.extras]
+bulk-writer = ["azure-storage-blob", "minio (>=7.0.0)", "pyarrow (>=12.0.0)", "requests"]
 model = ["milvus-model (>=0.1.0)"]
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+test = ["black", "grpcio-testing", "pytest (>=5.3.4)", "pytest-cov (>=2.8.1)", "pytest-timeout (>=1.3.4)", "ruff (>0.4.0)"]
 
 [[package]]
 name = "pymupdf"
@@ -4596,13 +4570,13 @@ sphinx = ">=1.3.1"
 
 [[package]]
 name = "referencing"
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+version = "0.31.1"
 description = "JSON Referencing + Python"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -4737,6 +4711,20 @@ requests = ">=2.0.0"
 [package.extras]
 rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
 
+[[package]]
+name = "rfc3339-validator"
+version = "0.1.4"
+description = "A pure python RFC3339 validator"
+optional = true
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
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+]
+
+[package.dependencies]
+six = "*"
+
 [[package]]
 name = "rich"
 version = "13.7.1"
@@ -4864,6 +4852,83 @@ files = [
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+[[package]]
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+description = "ruamel.yaml is a YAML parser/emitter that supports roundtrip preservation of comments, seq/map flow style, and map key order"
+optional = true
+python-versions = ">=3.7"
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+
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+
+[package.extras]
+docs = ["mercurial (>5.7)", "ryd"]
+jinja2 = ["ruamel.yaml.jinja2 (>=0.2)"]
+
+[[package]]
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 [[package]]
 name = "ruff"
 version = "0.4.4"
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+    {file = "ujson-5.10.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:61d0af13a9af01d9f26d2331ce49bb5ac1fb9c814964018ac8df605b5422dcb3"},
+    {file = "ujson-5.10.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ecb24f0bdd899d368b715c9e6664166cf694d1e57be73f17759573a6986dd95a"},
+    {file = "ujson-5.10.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fbd8fd427f57a03cff3ad6574b5e299131585d9727c8c366da4624a9069ed746"},
+    {file = "ujson-5.10.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:beeaf1c48e32f07d8820c705ff8e645f8afa690cca1544adba4ebfa067efdc88"},
+    {file = "ujson-5.10.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:baed37ea46d756aca2955e99525cc02d9181de67f25515c468856c38d52b5f3b"},
+    {file = "ujson-5.10.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:7663960f08cd5a2bb152f5ee3992e1af7690a64c0e26d31ba7b3ff5b2ee66337"},
+    {file = "ujson-5.10.0-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:d8640fb4072d36b08e95a3a380ba65779d356b2fee8696afeb7794cf0902d0a1"},
+    {file = "ujson-5.10.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:78778a3aa7aafb11e7ddca4e29f46bc5139131037ad628cc10936764282d6753"},
+    {file = "ujson-5.10.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b0111b27f2d5c820e7f2dbad7d48e3338c824e7ac4d2a12da3dc6061cc39c8e6"},
+    {file = "ujson-5.10.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:c66962ca7565605b355a9ed478292da628b8f18c0f2793021ca4425abf8b01e5"},
+    {file = "ujson-5.10.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:ba43cc34cce49cf2d4bc76401a754a81202d8aa926d0e2b79f0ee258cb15d3a4"},
+    {file = "ujson-5.10.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:ac56eb983edce27e7f51d05bc8dd820586c6e6be1c5216a6809b0c668bb312b8"},
+    {file = "ujson-5.10.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f44bd4b23a0e723bf8b10628288c2c7c335161d6840013d4d5de20e48551773b"},
+    {file = "ujson-5.10.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7c10f4654e5326ec14a46bcdeb2b685d4ada6911050aa8baaf3501e57024b804"},
+    {file = "ujson-5.10.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0de4971a89a762398006e844ae394bd46991f7c385d7a6a3b93ba229e6dac17e"},
+    {file = "ujson-5.10.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:e1402f0564a97d2a52310ae10a64d25bcef94f8dd643fcf5d310219d915484f7"},
+    {file = "ujson-5.10.0.tar.gz", hash = "sha256:b3cd8f3c5d8c7738257f1018880444f7b7d9b66232c64649f562d7ba86ad4bc1"},
 ]
 
 [[package]]
@@ -6839,16 +6917,16 @@ docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.link
 testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
 
 [extras]
-all = ["PyMuPDF", "accelerate", "beautifulsoup4", "cohere", "datasets", "diffusers", "docx2txt", "googlemaps", "neo4j", "opencv-python", "pymilvus", "pyowm", "qdrant-client", "rank-bm25", "requests_oauthlib", "sentence-transformers", "sentencepiece", "soundfile", "torch", "transformers", "unstructured", "wikipedia", "wolframalpha"]
+all = ["PyMuPDF", "accelerate", "beautifulsoup4", "cohere", "datasets", "diffusers", "docx2txt", "googlemaps", "neo4j", "openapi-spec-validator", "opencv-python", "prance", "pymilvus", "pyowm", "qdrant-client", "rank-bm25", "requests_oauthlib", "sentence-transformers", "sentencepiece", "soundfile", "torch", "transformers", "unstructured", "wikipedia", "wolframalpha"]
 encoders = ["sentence-transformers"]
 graph-storages = ["neo4j"]
 huggingface-agent = ["accelerate", "datasets", "diffusers", "opencv-python", "sentencepiece", "soundfile", "torch", "transformers"]
 retrievers = ["cohere", "rank-bm25"]
 test = ["mock", "pytest"]
-tools = ["PyMuPDF", "beautifulsoup4", "docx2txt", "googlemaps", "pyowm", "requests_oauthlib", "unstructured", "wikipedia", "wolframalpha"]
+tools = ["PyMuPDF", "beautifulsoup4", "docx2txt", "googlemaps", "openapi-spec-validator", "prance", "pyowm", "requests_oauthlib", "unstructured", "wikipedia", "wolframalpha"]
 vector-databases = ["pymilvus", "qdrant-client"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<3.12"
-content-hash = "1b959701ec0731a37c6e1f548ebd8d59fd243426fb205d29e061e322fe713cc5"
+content-hash = "2d12f84ec291246632273983e2bce9b706c930fc6f2dfbf8fb2903951928fcd4"
diff --git a/pyproject.toml b/pyproject.toml
index 4e76a5837..a99d4c71c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -58,6 +58,8 @@ wolframalpha = { version = "^5.0.0", optional = true }
 pyowm = { version = "^3.3.0", optional = true }
 googlemaps = { version = "^4.10.0", optional = true }
 requests_oauthlib = { version = "^1.3.1", optional = true }
+prance = { version = "^23.6.21.0", optional = true }
+openapi-spec-validator = { version = "^0.7.1", optional = true }
 unstructured = { extras = ["all-docs"], version = "^0.10.30", optional = true }
 
 # encoders
@@ -106,6 +108,8 @@ tools = [
     "pyowm",
     "googlemaps",
     "requests_oauthlib",
+    "prance",
+    "openapi-spec-validator",
     "unstructured",
 ]
 
@@ -142,6 +146,8 @@ all = [
     "pyowm",
     "googlemaps",
     "requests_oauthlib",
+    "prance",
+    "openapi-spec-validator",
     "unstructured",
     # vector-database
     "qdrant-client",
@@ -248,6 +254,8 @@ module = [
     "pyowm",
     "googlemaps",
     "requests_oauthlib",
+    "prance",
+    "openapi-spec-validator",
     "jsonschema.*",
     "bs4.*",
     "docx2txt",
diff --git a/test/functions/test_open_api_function.py b/test/functions/test_open_api_function.py
new file mode 100644
index 000000000..ea8867a18
--- /dev/null
+++ b/test/functions/test_open_api_function.py
@@ -0,0 +1,268 @@
+# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. ===========
+# Licensed under the Apache License, Version 2.0 (the “License”);
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an “AS IS” BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. ===========
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+from camel.functions.open_api_function import combine_all_funcs_schemas
+
+
+@pytest.fixture(scope="module")
+def functions_dict():
+    openapi_functions_list, _ = combine_all_funcs_schemas()
+    functions_dict = {func.__name__: func for func in openapi_functions_list}
+    return functions_dict
+
+
+@pytest.fixture
+def get_function(request, functions_dict):
+    function_name = request.param
+    func = functions_dict.get(function_name)
+    if func is None:
+        raise ValueError(f"Function {function_name} not found")
+    return func
+
+
+@pytest.mark.parametrize('get_function', ['coursera_search'], indirect=True)
+def test_coursera_search(get_function):
+    mock_response_data = {
+        "hits": [
+            {
+                "name": "Machine Learning",
+                "partners": ["DeepLearning.AI", "Stanford University"],
+                "duration": "ONE_TO_THREE_MONTHS",
+                "productDifficultyLevel": "BEGINNER",
+                "entityType": "PRODUCTS",
+                "skills": [
+                    "Machine Learning",
+                    "Machine Learning Algorithms",
+                    "Applied Machine Learning",
+                    "Algorithms",
+                    "Deep Learning",
+                    "Machine Learning Software",
+                    "Artificial Neural Networks",
+                    "Human Learning",
+                ],
+                "objectUrl": (
+                    "https://www.coursera.org/specializations/machine-learning-introduction?utm_source=rest_api"
+                ),
+            }
+        ]
+    }
+    mock_response = MagicMock()
+    mock_response.json.return_value = mock_response_data
+    with patch('requests.request', return_value=mock_response):
+        result = get_function(requestBody={"query": "machine learning"})
+        assert result == mock_response_data
+
+
+@pytest.mark.parametrize(
+    'get_function', ['klarna_productsUsingGET'], indirect=True
+)
+def test_klarna_productsUsingGET(get_function):
+    mock_response_data = {
+        'products': [
+            {
+                'name': 'Nike Dunk Low Retro M - Black/White',
+                'url': 'https://www.klarna.com/us/shopping/pl/cl337/3200177969/Shoes/Nike-Dunk-Low-Retro-M-Black-White/?utm_source=openai&ref-site=openai_plugin',
+                'price': '\$81.00',
+                'attributes': [
+                    'Outsole:Rubber',
+                    'Fastening:Laced',
+                    'Midsole:Foam',
+                    'Insole:Foam',
+                    'Target Group:Man',
+                    'Color:White',
+                    'Upper Material:Leather',
+                    'Size (US):9.5,10,11,12,13,14,15,16,17,18,11.5,10.5,2,3,4,5,6,7,8,9,2.5,3.5,4.5,16.5,5.5,15.5,6.5,14.5,13.5,7.5,8.5,12.5',
+                    'Series:Nike Dunk',
+                ],
+            },
+            {
+                'name': "Nike Air Force 1 '07 M - White",
+                'url': 'https://www.klarna.com/us/shopping/pl/cl337/3979297/Shoes/Nike-Air-Force-1-07-M-White/?utm_source=openai&ref-site=openai_plugin',
+                'price': '\$80.00',
+                'attributes': [
+                    'Outsole:Rubber',
+                    'Fastening:Laced',
+                    'Midsole:Foam',
+                    'Target Group:Man',
+                    'Color:White',
+                    'Upper Material:Leather',
+                    'Size (US):9.5,10,11,12,13,14,15,16,17,11.5,10.5,2,3,4,5,6,7,8,9,2.5,3.5,4.5,16.5,5.5,15.5,6.5,14.5,13.5,7.5,8.5,12.5',
+                    'Lining Material:Textile',
+                    'Series:Nike Air Force 1',
+                ],
+            },
+        ]
+    }
+    mock_response = MagicMock()
+    mock_response.json.return_value = mock_response_data
+    with patch('requests.request', return_value=mock_response):
+        result = get_function(
+            q_in_query="nike shoes",
+            size_in_query=2,
+            min_price_in_query=50,
+            max_price_in_query=100,
+        )
+        assert result == mock_response_data
+
+
+@pytest.mark.parametrize('get_function', ['speak_translate'], indirect=True)
+def test_speak_translate(get_function):
+    # ruff: noqa: RUF001
+    mock_response_data = {
+        "explanation": '''
+    <translation language="Chinese" context="Looking for the German word for the fruit that is commonly red, green, or yellow.">
+    苹果 (píngguǒ)
+    </translation>
+
+    <alternatives context="Looking for the German word for the fruit that is commonly red, green, or yellow.">
+    1. "苹果 (píngguǒ)" *(Neutral/Formal - the standard term for 'apple' in Chinese)*
+    2. "苹儿 (pín er)" *(Informal - a colloquial way to refer to an apple, often used in Northern China)*
+    3. "苹果儿 (píngguǒ er)" *(Informal - similar to "苹儿 (pín er)", used in casual conversations)*
+    </alternatives>
+
+    <example-convo language="Chinese">
+    <context>At a fruit market in China.</context>
+    * Li: "嗨，这里有新鲜的苹果吗？" (Hi, do you have fresh apples here?)
+    * Seller: "当然有！我们这里的苹果非常好吃，是从山上来的。" (Of course! The apples here are delicious, they come from the mountains.)
+    * Li: "好的，我要买几个红苹果。" (Great, I want to buy some red apples.)
+    </example-convo>
+
+    *[Report an issue or leave feedback](https://speak.com/chatgpt?rid=sjqtmni8qkvtwr6jlj3xl1lz)*
+    ''',
+        "extra_response_instructions": "Use all information in the API response and fully render all Markdown.\nAlways end your response with a link to report an issue or leave feedback on the plugin.",
+    }
+
+    mock_response = MagicMock()
+    mock_response.json.return_value = mock_response_data
+    with patch('requests.request', return_value=mock_response):
+        translate_request = {
+            "phrase_to_translate": "Wie sagt man 'apple' auf Deutsch?",
+            "learning_language": "Chinese",
+            "native_language": "English",
+            "additional_context": "Looking for the German word for the fruit that is commonly red, green, or yellow.",
+            "full_query": "What is the German word for 'apple'?",
+        }
+        result = get_function(requestBody=translate_request)
+        assert result == mock_response_data
+
+
+@pytest.mark.parametrize('get_function', ['speak_explainPhrase'], indirect=True)
+def test_speak_explainPhrase(get_function):
+    mock_response_data = {
+        "explanation": '''
+    <markdown>
+    <explanation context="Someone said this to me after a surprising event occurred. Want to understand the tone and context it's used in.">
+    The phrase you entered is: "<input></input>"
+    This phrase is commonly used in Chinese and it means "What happened?" or "What's going on?" It is often used when you want to express surprise or curiosity about a situation or event. Imagine someone just witnessed something unexpected and they are genuinely interested in finding out more details about it. 
+
+    For example, if you witnessed a car accident on the street and you're confused about what happened, you can ask "你们这是怎么回事啊？" (Nǐmen zhè shì zěnme huíshì a?) which translates to "What happened here?" or "What's going on here?"
+
+    </explanation>
+
+    <alternatives context="Someone said this to me after a surprising event occurred. Want to understand the tone and context it's used in.">
+    Here are a few alternative phrases that convey a similar meaning and can be used in different situations:
+
+    1. "发生了什么事？" (Fāshēngle shénme shì?) - This phrase is a bit more formal and it means "What happened?" It can be used in various contexts, such as asking about a news event or inquiring about a situation you're not familiar with.
+
+    2. "出什么事了？" (Chū shénme shì le?) - This phrase is more casual and can be translated as "What's going on?" or "What's happening?" It is often used when you want to express surprise and inquire about a situation.
+
+    3. "怎么回事？" (Zěnme huíshì?) - This phrase is similar to the first one we mentioned, but it's a bit more informal. It can be used in both casual and formal situations to ask "What's going on?" or "What happened?"
+
+    </alternatives>
+
+    <example-convo language="Chinese">
+    <context>You and your friend are walking in the park when suddenly, a UFO appears in the sky.</context>
+    <dialogue>
+    Person A: 哇，你看！天上有 个飞碟！(Wā, nǐ kàn! Tiānshàng yǒu gè fēidié!) Wow, look! There's a UFO in the sky!
+    Person B: 什么？你确定吗？(Shénme? Nǐ quèdìng ma?) What? Are you sure?
+    Person A: 是的！你们这是怎么回事啊？(Shì de! Nǐmen zhè shì zěnme huíshì a?) Yes! What happened here?
+    </dialogue>
+    </example-convo>
+    </markdown>
+    ''',
+        "extra_response_instructions": "Use all information in the API response and fully render all Markdown.\nAlways end your response with a link to report an issue or leave feedback on the plugin.",
+    }
+    mock_response = MagicMock()
+    mock_response.json.return_value = mock_response_data
+    with patch('requests.request', return_value=mock_response):
+        explain_phrase_request = {
+            "foreign_phrase": "no mames",
+            "learning_language": "Chinese",
+            "native_language": "English",
+            "additional_context": (
+                "Someone said this to me after a surprising event occurred."
+                "Want to understand the tone and context it's used in."
+            ),
+            "full_query": "Somebody said 'no mames' to me, what does that mean?",
+        }
+        result = get_function(requestBody=explain_phrase_request)
+        assert result == mock_response_data
+
+
+@pytest.mark.parametrize('get_function', ['speak_explainTask'], indirect=True)
+def test_speak_explainTask(get_function):
+    mock_response_data = {
+        "explanation": '''
+    <markdown>
+    <explanation context="Someone said this to me after a surprising event occurred. Want to understand the tone and context it's used in.">
+    The phrase you entered is: "<input></input>"
+    This phrase is commonly used in Chinese and it means "What happened?" or "What's going on?" It is often used when you want to express surprise or curiosity about a situation or event. Imagine someone just witnessed something unexpected and they are genuinely interested in finding out more details about it. 
+
+    For example, if you witnessed a car accident on the street and you're confused about what happened, you can ask "你们这是怎么回事啊？" (Nǐmen zhè shì zěnme huíshì a?) which translates to "What happened here?" or "What's going on here?"
+
+    </explanation>
+
+    <alternatives context="Someone said this to me after a surprising event occurred. Want to understand the tone and context it's used in.">
+    Here are a few alternative phrases that convey a similar meaning and can be used in different situations:
+
+    1. "发生了什么事？" (Fāshēngle shénme shì?) - This phrase is a bit more formal and it means "What happened?" It can be used in various contexts, such as asking about a news event or inquiring about a situation you're not familiar with.
+
+    2. "出什么事了？" (Chū shénme shì le?) - This phrase is more casual and can be translated as "What's going on?" or "What's happening?" It is often used when you want to express surprise and inquire about a situation.
+
+    3. "怎么回事？" (Zěnme huíshì?) - This phrase is similar to the first one we mentioned, but it's a bit more informal. It can be used in both casual and formal situations to ask "What's going on?" or "What happened?"
+
+    </alternatives>
+
+    <example-convo language="Chinese">
+    <context>You and your friend are walking in the park when suddenly, a UFO appears in the sky.</context>
+    <dialogue>
+    Person A: 哇，你看！天上有 个飞碟！(Wā, nǐ kàn! Tiānshàng yǒu gè fēidié!) Wow, look! There's a UFO in the sky!
+    Person B: 什么？你确定吗？(Shénme? Nǐ quèdìng ma?) What? Are you sure?
+    Person A: 是的！你们这是怎么回事啊？(Shì de! Nǐmen zhè shì zěnme huíshì a?) Yes! What happened here?
+    </dialogue>
+    </example-convo>
+    </markdown>
+    ''',
+        "extra_response_instructions": "Use all information in the API response and fully render all Markdown.\nAlways end your response with a link to report an issue or leave feedback on the plugin.",
+    }
+    mock_response = MagicMock()
+    mock_response.json.return_value = mock_response_data
+    with patch('requests.request', return_value=mock_response):
+        explain_task_request = {
+            "task_description": "tell the waiter they messed up my order",
+            "learning_language": "Chinese",
+            "native_language": "English",
+            "additional_context": (
+                "I want to say it politely because it wasn't a big mistake."
+            ),
+            "full_query": (
+                "How do I politely tell the waiter in Italian that they made "
+                "a mistake with my order?"
+            ),
+        }
+        result = get_function(requestBody=explain_task_request)
+        assert result == mock_response_data