MarkdownLinkFormatter

# Import classes from the bigdata-client Python SDK from bigdata_client import Bigdata from bigdata_client.models.chat import MarkdownLinkFormatter formatter = MarkdownLinkFormatter() # Log in to Bigdata bigdata = Bigdata("YOUR_USERNAME", "YOUR_PASSWORD") # Create a new chat with the Markdown formatter chat = bigdata.chat.new("Pfizer company analysis", formatter=formatter) # First question response = chat.ask("Evaluate the experience and reputation of the management team of Pfizer in 2024?", streaming=True) print(f"\nQuestion:\n - {response.question}") print(f"\nAnswer:") for streamingChatInteraction in response: print(streamingChatInteraction, end="")

We are sunsetting our SDKs and will no longer add new features, security patches, bug fixes, or technical support for them. To access the latest capabilities and ongoing improvements, we encourage you to migrate to our RESTful API.SDK support will officially end on December 31, 2026. On this date, the underlying endpoints used by the SDKs and related documentation will be decommissioned.To avoid any disruption to your services, please ensure your migration is complete by that date.For migration assistance, please contact us at support@bigdata.com.

Methods

__init__(headline_length=None, skip_empty_urls=True)

Initialize the MarkdownLinkInlineAttributionFormatter.

Parameters:

int

The maximum length of the headline to be displayed in the link.

bool

Whether to skip sources with empty URLs.

format(index, source)

Format an inline attribution as a Markdown link.

Parameters:

int

required

The index of the attribution within the list of attributions.

ChatSource

required

The inline attribution to format: ChatSource

Returns:

A string representing the formatted attribution as a Markdown link.

# Import classes from the bigdata-client Python SDK        
from bigdata_client import Bigdata
from bigdata_client.models.chat import MarkdownLinkFormatter
formatter = MarkdownLinkFormatter()

# Log in to Bigdata
bigdata = Bigdata("YOUR_USERNAME", "YOUR_PASSWORD")

# Create a new chat with the Markdown formatter
chat = bigdata.chat.new("Pfizer company analysis", formatter=formatter)

# First question
response = chat.ask("Evaluate the experience and reputation of the management team of Pfizer in 2024?", streaming=True)
print(f"\nQuestion:\n - {response.question}")
print(f"\nAnswer:")
for streamingChatInteraction in response:
    print(streamingChatInteraction, end="")

Introduction

Methods

`init(headline_length=None, skip_empty_urls=True)`

`format(index, source)`

​Methods

​__init__(headline_length=None, skip_empty_urls=True)

​format(index, source)

Methods

`init(headline_length=None, skip_empty_urls=True)`

`format(index, source)`