What This Category of Data Looks Like
Communications service marketing content data originates from three main sources: the marketing material library in the operator’s communications service backend, customer interaction-saved outreach copy, and outreach records exported by third-party marketing tools. Data updates take effect in real time when marketing campaigns launch. Stock historical materials are synced in weekly batches. Each data entry includes fields including the unique material identifier, outreach channel type field, applicable customer group tag group, copy body, and associated outreach task ID. The channel_type field is a string that identifies channels such as SMS, voice, and WeChat Work. The content_length field is an integer that counts the number of characters in the copy. The task_status field is an enumeration that identifies task execution status, with units corresponding to characters, integers, and enumeration values.
Constraints Imposed by These Characteristics on Model Access and Configuration
The channel_type field differentiates between outreach channels. Configure format adaptation rules for the corresponding channel when accessing the model. SMS channels require controlling copy length. Voice channels require adapting to the input requirements of speech-to-text models. Real-time updated materials require configuring real-time pull API trigger rules. This avoids material delays caused by stock synchronization. Structured customer group tag fields require configuring field mapping before model access. This ensures the model can recognize customer group matching dimensions. The content_length field reflects copy length. Configure content truncation parameters to avoid information loss caused by exceeding the model’s context window.
How to Set Configuration Values
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
model_channel | Configure separately per channel_type: use doubao-lite-4k for SMS, doubao-speech-16k for speech transcription, doubao-pro-32k for WeChat Work | Different communication channels have varying content length and format requirements, matching the context window and input format of the corresponding model |
trigger_sync_mode | Real-time pull mode | Marketing materials are updated in real time with campaigns, real-time synchronization ensures the latest materials are used for calls |
field_mapping | Map the original data's content to input_text, and channel_type to the system_prompt context parameter | Ensure the model's input aligns with the business fields of the communications service, avoiding parameter misalignment |
content_truncate_length | Set to 70 characters for SMS channels, 2000 characters for WeChat Work channels, adjust according to model requirements for voice channels | Avoid content exceeding the model's context window, which would cause truncation and loss of critical information |
vector_top_k | Calibrate based on actual testing | The number of matching customer group tags needs to be adjusted based on business scenarios; too many will increase inference latency, too few will miss matching entries |
api_timeout | 30 seconds | Communications service marketing tasks typically have real-time outreach requirements, timeouts will cause task interruptions, so request duration must be controlled |
The parameter values provided on this page are all conventional recommendations used as starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- Phenomenon: A
404 page not founderror is returned after calling the configured voice model. Cause: The API key and region information for the corresponding voice model were not added on the model channel configuration page, resulting in incorrect request routing. - Phenomenon: The model’s accuracy in identifying customer group tags is low, and matching results do not meet expectations. Cause: The
tag_groupfield was not correctly mapped to the model’s input parameters, preventing the model from recognizing customer group tag dimensions. - Phenomenon: Long-form marketing copy is truncated and core campaign information is lost. Cause: The
content_truncate_lengthparameter was not set according to the corresponding channel, and the default global truncation value was used, exceeding the character limit allowed by the channel.
How to Confirm Successful Configuration
- Access the FastGPT model debugging page, input the
contentandchannel_typefields of a communications service marketing material, and verify whether the model’s returned content meets the format requirements of the corresponding channel. - View synchronization task logs to confirm whether the latest marketing materials have been pulled to the knowledge base in real time, with no delays or losses.
- Test the configured field mapping rules to check whether the model’s input parameters are fully aligned with the original data’s fields, with no misalignment or missing values.
- Trigger a test outreach task, and check whether the model call’s returned results include correct customer group tag matching information, with no errors.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.