Configure Tencent Hunyuan

Tencent Hunyuan is a large language model developed independently by Tencent, providing multimodal understanding, long text processing, web search, and other features. It supports Chinese optimization, industry customization, and enterprise-grade security, suitable for conversation, writing, analysis, and other scenarios.

1. Obtain Tencent Hunyuan API Key

1.1 Access Tencent Hunyuan Console

Visit the Tencent Hunyuan Console and log in: https://console.cloud.tencent.com/hunyuan

1.2 Navigate to API KEY Management

After logging in, click Get Started in the left sidebar menu.

1.3 Create a New API Key

Click the Create API KEY button.

1.4 Copy API Key

After successful creation, the system will display the API Key.

Important: Copy and save it immediately. The API Key starts with sk-.

Click the copy button to copy the API Key to your clipboard.

2. Configure Tencent Hunyuan Model in CueMate

2.1 Navigate to Model Settings

After logging into CueMate, click Model Settings in the dropdown menu at the top right corner.

2.2 Add New Model

Click the Add Model button in the upper right corner.

2.3 Select Tencent Hunyuan Provider

In the dialog that appears:

1. Provider Type: Select Tencent Hunyuan
2. After clicking, it will automatically proceed to the next step

2.4 Fill in Configuration Information

Fill in the following information on the configuration page:

Basic Configuration

1. Model Name: Give this model configuration a name (e.g., Hunyuan-Turbo)
2. API URL: Keep the default https://api.hunyuan.cloud.tencent.com/v1 (OpenAI-compatible format)
3. API Key: Paste the Tencent Hunyuan API Key you just copied
4. Model Version: Select the model ID you want to use. Common models include:
   • hunyuan-t1-latest: Reasoning model, max output 64K, suitable for complex reasoning and technical interviews
   • hunyuan-turbos-latest: General-purpose model, max output 16K, suitable for regular conversation and long text generation
   • hunyuan-a13b: Hybrid reasoning model, max output 32K, supports fast/slow thinking switching
   • hunyuan-standard-256K: Ultra-long context, max output 6K, suitable for long document understanding
   • hunyuan-large: Large parameter model, max output 4K, suitable for professional domains
   • hunyuan-lite: Lightweight fast version, max output 6K, suitable for quick responses

Advanced Configuration (Optional)

Expand the Advanced Configuration panel to adjust the following parameters:

Parameters Adjustable in CueMate Interface:

1. Temperature: Controls output randomness

   • Range: 0-2
   • Recommended Value: 0.7
   • Effect: Higher values produce more random and creative outputs, lower values produce more stable and conservative outputs
   • Usage Recommendations:
     • Creative writing/brainstorming: 1.0-1.5
     • Regular conversation/Q&A: 0.7-0.9
     • Code generation/precise tasks: 0.3-0.5

2. Max Tokens: Limits single output length

   • Range: 256 - 64000 (depending on the model)
   • Recommended Value: 8192
   • Effect: Controls the maximum number of tokens in a single model response
   • Model Limits:
     • hunyuan-t1-latest: Max 64K tokens
     • hunyuan-turbos-latest: Max 16K tokens
     • hunyuan-a13b: Max 32K tokens
     • hunyuan-standard-256K: Max 6K tokens
     • hunyuan-large: Max 4K tokens
     • hunyuan-lite: Max 6K tokens
   • Usage Recommendations:
     • Short Q&A: 1024-2048
     • Regular conversation: 4096-8192
     • Long text generation: 16384-32768
     • Ultra-long reasoning: 65536 (T1 model only)

Additional Advanced Parameters Supported by Tencent Hunyuan API:

Although the CueMate interface only provides temperature and max_tokens adjustments, if you call Tencent Hunyuan directly through the API, you can also use the following advanced parameters (Tencent Hunyuan uses an OpenAI-compatible API format):

3. top_p (nucleus sampling)

   • Range: 0-1
   • Default Value: 1
   • Effect: Samples from the smallest set of candidates whose cumulative probability reaches p
   • Relationship with temperature: Usually only adjust one of them
   • Usage Recommendations:
     • Maintain diversity but avoid extremes: 0.9-0.95
     • More conservative output: 0.7-0.8

4. frequency_penalty

   • Range: -2.0 to 2.0
   • Default Value: 0
   • Effect: Reduces the probability of repeating the same words (based on word frequency)
   • Usage Recommendations:
     • Reduce repetition: 0.3-0.8
     • Allow repetition: 0 (default)

5. presence_penalty

   • Range: -2.0 to 2.0
   • Default Value: 0
   • Effect: Reduces the probability of words that have already appeared appearing again (based on presence)
   • Usage Recommendations:
     • Encourage new topics: 0.3-0.8
     • Allow repeated topics: 0 (default)

6. stop (stop sequences)

   • Type: String or array
   • Default Value: null
   • Effect: Stops generation when the specified string is included in the generated content
   • Example: ["###", "User:", "\n\n"]
   • Use Cases:
     • Structured output: Use separators to control format
     • Dialogue systems: Prevent the model from speaking on behalf of the user

7. stream

   • Type: Boolean
   • Default Value: false
   • Effect: Enables SSE streaming return, generating and returning content progressively
   • In CueMate: Handled automatically, no manual setting required

No.	Scenario	temperature	max_tokens	top_p	frequency_penalty	presence_penalty
1	Creative Writing	1.0-1.2	4096-8192	0.95	0.5	0.5
2	Code Generation	0.2-0.5	2048-4096	0.9	0.0	0.0
3	Q&A System	0.7	1024-2048	0.9	0.0	0.0
4	Summary	0.3-0.5	512-1024	0.9	0.0	0.0
5	Complex Reasoning	0.7	32768-65536	0.9	0.0	0.0

2.5 Test Connection

After filling in the configuration, click the Test Connection button to verify the configuration is correct.

If the configuration is correct, a test success prompt will be displayed, along with a sample response from the model.

If the configuration is incorrect, a test error log will be displayed, and you can view specific error information through log management.

2.6 Save Configuration

After successful testing, click the Save button to complete the model configuration.

3. Use the Model

Through the dropdown menu in the top right corner, navigate to the system settings interface and select the model configuration you want to use in the large model provider section.

After configuration, you can select to use this model in interview training, question generation, and other features. You can also individually select the model configuration for a specific interview in the interview options.

4. Supported Model List

4.1 Reasoning and General Models

No.	Model Name	Model ID	Max Output	Use Cases
1	Hunyuan T1	hunyuan-t1-latest	64K tokens	Reasoning model, complex reasoning, technical interviews
2	Hunyuan Turbos	hunyuan-turbos-latest	16K tokens	General model, regular conversation, long text generation
3	Hunyuan A13B	hunyuan-a13b	32K tokens	Hybrid reasoning, fast/slow thinking switching

4.2 Long Context and Professional Models

No.	Model Name	Model ID	Max Output	Use Cases
1	Hunyuan Standard 256K	hunyuan-standard-256K	6K tokens	Ultra-long context, long document understanding
2	Hunyuan Standard	hunyuan-standard	2K tokens	Standard version, quick responses
3	Hunyuan Large	hunyuan-large	4K tokens	Large parameter model, professional domains
4	Hunyuan Lite	hunyuan-lite	6K tokens	Lightweight and fast, cost-effective

4.3 Specialized Function Models

No.	Model Name	Model ID	Max Output	Use Cases
1	Hunyuan FunctionCall	hunyuan-functioncall	4K tokens	Function calling, tool integration
2	Hunyuan Code	hunyuan-code	4K tokens	Code generation, technical Q&A

5. Common Issues

5.1 Invalid API Key

Symptom: API Key error prompt during connection test

Solution:

1. Check if the API Key starts with sk-
2. Confirm the API Key is completely copied
3. Check if the account has available quota
4. Verify the API Key has not expired or been disabled

5.2 Request Timeout

Symptom: No response for a long time during connection test or use

Solution:

1. Check if the network connection is normal
2. Confirm the API URL address is correct
3. Check firewall settings

5.3 Insufficient Quota

Symptom: Prompt indicating quota exhausted or insufficient balance

Solution:

1. Log in to the Tencent Hunyuan Console to check account balance
2. Recharge or apply for more quota
3. Check the quota limits for Hunyuan services

Related Links

• Tencent Hunyuan Official Website
• Tencent Hunyuan Console
• API Documentation
• Pricing Information