OpenClaw 2026.3.24: Bridge Config Removed, Heartbeat Token Savings, Loop Detection

Breaking Change: Bridge Configuration Removed
If you upgrade to OpenClaw 2026.3.24 and still have a bridge.* section in your openclaw.json file, the gateway will fail to start. The TCP bridge was previously removed from the runtime, and the configuration keys are now officially removed from the schema. To fix this, run openclaw doctor --fix to clean up the configuration automatically, or manually delete the bridge block from your JSON file.
Heartbeat Token Cost Reduction
The release introduces isolatedSession: true for heartbeat configuration. Previously, heartbeat runs accumulated session history across executions, which could increase per-run token costs to approximately 100,000 tokens. With an isolated session enabled, each heartbeat run starts fresh, reducing the token cost to around 2,000 to 5,000 tokens per run.
New Features and Configuration Options
imageGenerationModel: Pin an explicit image generation provider with fallback support. Supported providers include OpenAI's gpt-image-1, Google Gemini image models, and fal/* models.tools.loopDetection: Opt-in circuit breakers for runaway tool loops. Includes three detectors:genericRepeat,knownPollNoProgress, andpingPong.channels.modelByChannel: Pin specific channel or topic IDs to a particular model, separate from the session's default model.- Built-in model aliases:
gpt,gpt-mini,gemini,gemini-flash,gemini-flash-lite. pdfModel: Route PDF tool calls to a separate model from the session's primary model.
For complete release notes with configuration examples, refer to the official upgrade guide.
📖 Read the full source: r/clawdbot
👀 See Also

The Frontier AI Race is Over: Networks of Smaller Models Beat Centralized AI on Cost and Capability
Networks of smaller AI models now outperform every frontier AI system on speed, accuracy, and cost. The article argues that centralized AI companies cannot regain the lead due to the "Hydra Effect" — ensembling cheaper models recursively beats any single model.

Anthropic’s Claude Fable 5: Benchmarks Show Big Gains, But Pricing and Rate Limits Worry Developers
Claude Fable 5 drops with strong coding and agentic benchmarks, but developers are concerned about API pricing and rate limits.

AI Agents Bet on World Cup: Why 'Keep Multiple Outcomes in Play' Wins
An experiment with 40+ AI agents placing real-money bets on Polymarket shows that profitable agents back more than one outcome per match. The difference: belief vs. action.

Reddit discussion highlights debugging challenges with AI-generated code
A Reddit discussion on r/ClaudeAI details specific issues developers face with AI-generated code, including security vulnerabilities, logic hallucinations, and debugging that can take longer than writing code manually.