How to Use Qwen 3.5 Plus API with OpenClaw in 2026
openclaw qwen 3.5 plus
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How to Use Qwen 3.5 Plus API with OpenClaw in 2026
OpenClaw is a popular open-source automation framework that lets you orchestrate AI models, APIs, and workflows through a declarative configuration. Pairing it with Qwen 3.5 Plus gives you access to Alibaba's most capable language model for coding, reasoning, and multilingual tasks -- all within your automated pipelines.
This guide walks through the complete setup, from configuration to production-ready examples.
Why Qwen 3.5 Plus for OpenClaw?
OpenClaw supports any OpenAI-compatible endpoint, making Qwen 3.5 Plus a drop-in replacement. Here is why it is a strong choice:
- 128K context window -- Process large documents, full codebases, or lengthy conversation histories in your automation chains
- Strong coding performance -- Generate, review, and refactor code as part of CI/CD pipelines
- Cost efficiency -- At $0.60/$3.60 per 1M tokens through Hypereal AI, it is one of the most affordable frontier-class models
- Multilingual strength -- Handle content in 29+ languages without switching models
Prerequisites
Before you begin, make sure you have:
- OpenClaw installed (
pip install openclawor via Docker) - An API key from Hypereal AI (free signup at hypereal.ai -- 35 free credits included)
- Python 3.10+ or Node.js 18+
Step 1: Configure the Provider
Add Qwen 3.5 Plus as a provider in your OpenClaw configuration file:
# openclaw.yaml
providers:
- id: qwen-3-5-plus
type: openai-compatible
config:
base_url: "https://hypereal.tech/api/v1"
api_key: "${HYPEREAL_API_KEY}"
model: "qwen-3.5-plus"
max_tokens: 4096
temperature: 0.7
Set your API key as an environment variable:
export HYPEREAL_API_KEY="your-hypereal-api-key"
Step 2: Define Your Workflow
Here is a basic OpenClaw workflow that uses Qwen 3.5 Plus for code review:
# workflows/code-review.yaml
name: automated-code-review
description: Review pull request diffs with Qwen 3.5 Plus
steps:
- name: fetch-diff
action: git.diff
config:
base: main
head: "{{ branch }}"
- name: review-code
action: llm.chat
provider: qwen-3-5-plus
input:
system: |
You are a senior software engineer performing a code review.
Focus on: bugs, security issues, performance, and readability.
Be specific and actionable in your feedback.
user: |
Review this diff and provide feedback:
```
{{ steps.fetch-diff.output }}
```
- name: post-comment
action: github.comment
config:
body: "{{ steps.review-code.output }}"
Step 3: Python Integration
For more control, use OpenClaw's Python SDK with Qwen 3.5 Plus directly:
from openclaw import Pipeline, LLMStep
from openai import OpenAI
client = OpenAI(
api_key="your-hypereal-api-key",
base_url="https://hypereal.tech/api/v1"
)
# Define a reusable Qwen step
def qwen_step(prompt: str, system: str = "You are a helpful assistant.") -> str:
response = client.chat.completions.create(
model="qwen-3.5-plus",
messages=[
{"role": "system", "content": system},
{"role": "user", "content": prompt}
],
max_tokens=4096,
temperature=0.7
)
return response.choices[0].message.content
# Use in a pipeline
pipeline = Pipeline("content-generation")
# Step 1: Generate an outline
outline = qwen_step(
prompt="Create a detailed outline for a blog post about WebAssembly in 2026.",
system="You are a technical writer specializing in web development."
)
# Step 2: Expand each section
article = qwen_step(
prompt=f"Expand this outline into a full article:\n\n{outline}",
system="You are a technical writer. Write clear, detailed sections with code examples."
)
print(article)
Step 4: TypeScript Integration
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.HYPEREAL_API_KEY,
baseURL: "https://hypereal.tech/api/v1",
});
interface WorkflowStep {
name: string;
prompt: string;
system?: string;
}
async function runWorkflow(steps: WorkflowStep[]): Promise<Record<string, string>> {
const results: Record<string, string> = {};
for (const step of steps) {
const response = await client.chat.completions.create({
model: "qwen-3.5-plus",
messages: [
{ role: "system", content: step.system ?? "You are a helpful assistant." },
{
role: "user",
content: step.prompt.replace(
/\{\{\s*(\w+)\s*\}\}/g,
(_, key) => results[key] ?? ""
),
},
],
max_tokens: 4096,
});
results[step.name] = response.choices[0].message.content ?? "";
}
return results;
}
// Example: multi-step data processing workflow
const output = await runWorkflow([
{
name: "extract",
prompt: "Extract all company names and revenue figures from this report: ...",
system: "You are a data extraction specialist. Return structured JSON.",
},
{
name: "analyze",
prompt: "Analyze the following extracted data and identify trends:\n\n{{ extract }}",
system: "You are a business analyst. Provide clear insights.",
},
]);
console.log(output.analyze);
Advanced: Chaining Multiple Models
OpenClaw lets you chain different models in a single workflow. Use Qwen 3.5 Plus for reasoning and pair it with other models for specialized tasks:
# workflows/multi-model.yaml
name: smart-content-pipeline
steps:
- name: research
action: llm.chat
provider: qwen-3-5-plus
input:
system: "You are a research analyst."
user: "Summarize the latest developments in {{ topic }}."
- name: generate-image-prompt
action: llm.chat
provider: qwen-3-5-plus
input:
system: "You are a prompt engineer for image generation models."
user: "Based on this research, create a detailed image prompt:\n\n{{ steps.research.output }}"
- name: generate-image
action: image.generate
provider: flux-pro
input:
prompt: "{{ steps.generate-image-prompt.output }}"
Pricing
When using Qwen 3.5 Plus through Hypereal AI:
| Input | Output | |
|---|---|---|
| Per 1M tokens | $0.60 | $3.60 |
This is 40% cheaper than the official Alibaba pricing ($1.00/$6.00). Every Hypereal account starts with 35 free credits.
Troubleshooting
Connection timeout: Make sure your base_url ends with /api/v1 and not /api/v1/chat/completions. The OpenAI SDK appends the path automatically.
Model not found: Use exactly qwen-3.5-plus as the model name in Hypereal. Other variants like qwen-plus or qwen3.5-plus will not work.
Rate limiting: The free tier has rate limits. For production workloads, upgrade to a paid plan at hypereal.ai.
Next Steps
- Browse 200+ models in the Hypereal AI playground
- Read the OpenClaw documentation for advanced workflow patterns
- Explore streaming and function calling with Qwen 3.5 Plus
Try Hypereal AI free -- 35 credits, no credit card required.
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