A comprehensive integration guide for connecting Baidu ERNIE 5.0 thinking models to Clawdbot using the Qianfan platform.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ernie-integration
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ernie-integration using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Baidu ERNIE 5.0 Integration?
The Baidu ERNIE 5.0 Integration is a technical implementation resource designed for developers who need to leverage advanced reasoning capabilities within their AI agent environment. By utilizing Openclaw Skills, users can bridge their Clawdbot instances with Baidu's latest large language model, ERNIE 5.0, which features a massive 128K context window and a specialized thinking preview mode for deep logical analysis.
This skill focuses on the technical setup required to handle Baidu's specific BCE-v3 authentication and OpenAI-compatible API endpoints. By incorporating this into your development stack, you gain access to high-performance LLMs capable of complex reasoning, making it an essential addition to the library of Openclaw Skills for developers working with multi-provider AI architectures.
Baidu ERNIE 5.0 Integration Use Cases
- Scaling AI agent reasoning capabilities using ERNIE 5.0 thinking preview.
- Processing high-volume technical documentation with the 128K context window.
- Building localized AI applications that require robust Chinese language model support.
- Implementing multi-model fallback strategies within Openclaw Skills workflows.
How Baidu ERNIE 5.0 Integration Works
- Generate a valid API key through the Baidu Qianfan application console.
- Export the BCE-v3 formatted key to your local environment variables to maintain security.
- Modify the Clawdbot configuration file to define the ERNIE provider and its specific v2 API endpoints.
- Restart the local gateway to apply the new provider settings and establish a connection.
- Select the ERNIE model alias within your chat interface to begin high-reasoning tasks.
Baidu ERNIE 5.0 Integration Setup
1. Environment Configuration
Add your Baidu API key to your shell profile:
export ERNIE_API_KEY="bce-v3/ALTAK-your-key-here"
source ~/.zshrc # or ~/.bashrc
2. Provider Setup
Add the following configuration to your clawdbot.json to enable the provider within Openclaw Skills:
{
"models": {
"providers": {
"ernie": {
"baseUrl": "https://qianfan.baidubce.com/v2",
"apiKey": "${ERNIE_API_KEY}",
"api": "openai-completions",
"models": [
{
"id": "ernie-5.0-thinking-preview",
"name": "ERNIE 5.0",
"contextWindow": 128000
}
]
}
}
}
}
3. Service Initialization
Restart the gateway to verify the setup:
clawdbot gateway restart
clawdbot models list
Baidu ERNIE 5.0 Integration Data Schema & Taxonomy
The integration maps Baidu-specific parameters to standard agent schemas for seamless operation within Openclaw Skills:
| Parameter | Mapping/Value | Description |
|---|---|---|
model_id |
ernie-5.0-thinking-preview |
Primary reasoning model |
context_window |
128,000 tokens | Maximum input/output capacity |
api_type |
openai-completions |
Protocol compatibility layer |
auth_header |
Bearer ${ERNIE_API_KEY} |
BCE-v3 authentication format |
Baidu ERNIE 5.0 Integration Advanced Features
- Deep Thinking Support: Toggle the
enable_thinkingparameter for complex chain-of-thought processing. - Thinking Strategy Control: Choose between
short_thinkorchain_of_draftstrategies. - Custom Reasoning Effort: Adjust the model's computational effort levels between low, medium, and high.
- Token Budgeting: Define a specific
thinking_budgetto control costs and response latency.
SKILL.md
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