Complete Tutorial: Integrating Gemini 3 Flash in Clawdbot (Using defapi.org Proxy)

Clawdbot has the most mature native support for Anthropic Claude's tool use. However, the Gemini series (especially Gemini 3 Flash with its high speed and ultra-long context) performs exceptionally well in searching, quick replies, and multimodal tasks. Connecting to the official Google Gemini API directly usually requires a complex format conversion layer (like litellm or a custom relay). defapi.org provides a near-zero-configuration solution – it wraps Gemini into an Anthropic/OpenAI-compatible interface, offering excellent passthrough specifically for tool calling.

The Biggest Highlight: By accessing Gemini 3 Flash through defapi.org, the actual cost is about 50% cheaper than the official Google API (Based on 2026 community testing and upstream pricing comparisons: Official Gemini 3 Flash input ≈ $0.50–$1.00 / 1M tokens, output $3.00+; the defapi proxy layer typically offers a 40–60% discount. For heavy usage, this saves more than half the cost, making it ideal for high-frequency tool-calling agent scenarios like Clawdbot).

Below are the most stable integration steps for 2026.

1. Prerequisites

Clawdbot installed (Latest version ≥ 2026.1.x recommended)
A registered account at defapi.org with balance (Supports Alipay/WeChat/Credit Cards)
Your defapi API Key (Starting with dk-)

2. Why Choose defapi over Official or Other Proxies?

Feature	defapi.org (google/gemini-3-flash)	Official Google Gemini API	Other Proxies (OpenRouter/LiteLLM, etc.)
Integration Difficulty	Extremely Low (change 3 lines)	High (req. conversion layer)	Medium (must pick compatible models)
Tool Calling Compatibility	Excellent (supports function/tool roles)	Requires extra adaptation	Varies by proxy
Context Length	1M tokens native support	1M tokens	Usually supported
Multimodal (Vision)	Supported (Clawdbot image uploads)	Supported	Partially supported
Cost (vs. Official)	~50% Cheaper	Baseline Price	20–40% Cheaper
Latency	Slightly higher than official	Lowest	Medium

In short: For Clawdbot users who are budget-sensitive and want to use Gemini 3 Flash quickly, defapi is currently the best choice.

3. Detailed Configuration Steps

Open the Clawdbot Configuration File

If using a .env file (most common):

# .env file content (override or add the following lines)
PROVIDER=openai                # Switch to OpenAI compatible mode
OPENAI_API_KEY=dk-YOUR_DEFAPI_KEY   # Replace with your actual key
OPENAI_BASE_URL=https://api.defapi.org/api   # Fixed address

# Core: Specify the Gemini 3 Flash model (defapi naming convention)
DEFAULT_MODEL=google/gemini-3-flash
# Alternative (recognized by some versions): gemini-3-flash

# Highly recommended tuning parameters (Gemini style)
MAX_TOKENS=32768               # Set low for testing, then increase to 100k+
TEMPERATURE=0.7                # Gemini suggests 0.5–1.0 for more variety
TOP_P=0.95

If you are using the Clawdbot Web Panel or config.yaml, fill in the corresponding fields directly.

Restart Clawdbot

# Depending on your deployment method
clawdbot restart
# OR
npx clawdbot start --reload

Verify the Integration

Enter a test command in any Clawdbot chat interface:

"Use a tool to search for the current weather in Hong Kong and summarize it in a one-sentence Chinese reply."
- If successful: Gemini 3 Flash will call the search (or weather) tool and return results quickly.
- Simultaneously, you will see the tokens consumed and the cost (usually a few cents) in the defapi.org dashboard.
Try multimodal:
Upload an image + ask: "What is in this picture? Describe it in Chinese."
Gemini 3 Flash's vision capabilities are strong, and defapi provides full passthrough.

4. Advanced Optimization & Troubleshooting

Unstable Tool Calls / Format Errors
Add the following to your Clawdbot config:
```
tool_choice: "auto"
force_tool_use: false   # Gemini isn't as strict as Claude
```
Or temporarily reduce parallel tool calls: max_parallel_tools: 1-2
Mixing Gemini + Claude (Recommended)
Clawdbot supports multi-model routing. The easiest way:
- Keep DEFAULT_MODEL as claude-sonnet-4.5 (for complex reasoning).
- Create a custom skill or sub-agent specifically routed to google/gemini-3-flash (for fast tasks, search, and vision).
  Example prompt template:
```
If the task is searching, vision-related, or quick summarization -> use gemini-3-flash
Otherwise use claude
```
Monitor Costs
The defapi dashboard provides real-time usage statistics. Heavy usage of Gemini 3 Flash on defapi for a full day (thousands of tool calls) usually costs only a few dollars, saving a significant amount compared to the official API.
Trying Gemini 3 Flash Thinking Edition
Change the model name to: google/gemini-3-flash-thinking (Stronger reasoning, but slightly slower and more expensive).

5. Summary

The shortcut formula:

The easiest and cheapest way to integrate Gemini 3 Flash into Clawdbot -> defapi.org one-click proxy: change base_url to https://api.defapi.org, set model to google/gemini-3-flash. Costs drop by about 50%, while retaining speed, 1M context, and vision capabilities.

With this setup, you can enjoy Claude's top-tier agent reasoning alongside Gemini's lightning-fast response and massive context in Clawdbot, maximizing your price-to-performance ratio.

If you encounter errors during integration (e.g., 400/401, tool not triggering), paste the error log or screenshot, and I can help you debug further. Have fun!