Source reviewedOpenAI
The Builder's Guide to GPT-5.6: Luna's Model Selection, Agent Orchestration, and Caching
Turn “The Builder's Guide to GPT-5.6: Luna's Model Selection, Agent Orchestration, and Caching” into a bounded task entry with explicit inputs, runtime context, output format, and acceptance checks; confirm the model version and source limits before use.
Content typePrompting guide
InputsTask goal, Relevant source material or repository, Runtime and tool constraints, Acceptance criteria
StatusA compatible model client or agent harness; confirm the live model, tools, and permissions before execution.
CodingAgentWriting
UnverifiedDMarketer Tayeeb
GPT-5.6 Prompting Guide: Luna's Work Contract and Model Routing
Turn “GPT-5.6 Prompting Guide: Luna's Work Contract and Model Routing” into a bounded task entry with explicit inputs, runtime context, output format, and acceptance checks; confirm the model version and source limits before use.
Content typePrompting guide
InputsTask goal, Relevant source material or repository, Runtime and tool constraints, Acceptance criteria
StatusA compatible model client or agent harness; confirm the live model, tools, and permissions before execution.
CodingWriting
UnverifiedReddit, r/codex
Apply Occam’s Razor: Reducing Overengineering in Luna/Codex Prompts
Turn “Apply Occam’s Razor: Reducing Overengineering in Luna/Codex Prompts” into a bounded task entry with explicit inputs, runtime context, output format, and acceptance checks; confirm the model version and source limits before use.
Content typePrompting guide
InputsTask goal, Relevant source material or repository, Runtime and tool constraints, Acceptance criteria
StatusA compatible model client or agent harness; confirm the live model, tools, and permissions before execution.
CodingWriting
UnverifiedReddit, r/codex
Reddit Codex: Diagnostic and Verification Prompt for Luna Subagent Compatibility
Turn “Reddit Codex: Diagnostic and Verification Prompt for Luna Subagent Compatibility” into a bounded task entry with explicit inputs, runtime context, output format, and acceptance checks; confirm the model version and source limits before use.
Content typePrompting guide
InputsTask goal, Relevant source material or repository, Runtime and tool constraints, Acceptance criteria
StatusA compatible model client or agent harness; confirm the live model, tools, and permissions before execution.
CodingAgentWriting
Source reviewedAWS Machine Learning Blog
Get Started with OpenAI GPT-5.6 on Amazon Bedrock: Reasoning, Tool Calling, and Caching
AWS's article positions Luna as a high-throughput, low-latency model for classification, summarization, and routing, and uses Responses API examples to show how to set reasoning effort, call tools, carry the model's output in full into the next turn, and cache。
Content typeConfiguration
InputsAPI credentials, model ID, tool schema, test input, failure handling
StatusGPT-5.6 Luna API-compatible client; confirm model ID, tools, reasoning settings and limits before execution.
CodingAPI configurationreasoning
Source reviewedOpenAI Developers
GPT-5.6 Luna API Model Parameters and Cost Configuration
One-sentence takeaway The official model page confirms Luna's current API ID, pricing, reasoning tiers, tool surface, and rate limits. It can serve as a configuration baseline for high-throughput routing, but a single request above 272K tokens incurs a surchar。
Content typeConfiguration
InputsAPI credentials, model ID, tool schema, test input, failure handling
StatusGPT-5.6 Luna API-compatible client; confirm model ID, tools, reasoning settings and limits before execution.
CodingAPI configurationcost
UnverifiedReddit, r/codex
Reddit Codex: Multi-Model Routing Configuration for Luna Subagents and Sol Review
This is not an official configuration, but a personal routing setup shared by a Codex user: use Luna for routine implementation, brainstorming, and subagents; use Sol high for plan reviews and final decisions; and use a fast model for test execution. It turns 。
Content typeWorkflow
Inputstask goal, code or product brief, runtime constraints, acceptance criteria
StatusGPT-5.6 Luna client or agent harness; confirm the live model entry, tools and version before execution.
CodingAgent
UnverifiedX
X: Index Clue for OpenAI's GPT-5.6 Prompting Guide
The indexed snippet for this X post says that OpenAI published a complete GPT-5.6 prompting guide and that the author translated the developer docs. It can serve as an entry point for finding official prompting materials, but it is neither an independent evalu。
Content typePrompting guide
Inputstask goal, source or reference material, desired output format, acceptance criteria
StatusGPT-5.6 Luna client or agent harness; confirm the live model entry, tools and version before execution.
Writing
UnverifiedReddit, r/codex
Use Cheap Luna to Orchestrate Threads: Use Threads Rather Than Same-Model Subagents
The author recommends using Luna as a thread orchestrator, letting different threads choose Sol, Terra, or Luna for each task instead of having Sol Ultra automatically generate a batch of equally expensive subagents. The original prompt is very short. Its core。
Content typeWorkflow
Inputstask goal, code or product brief, runtime constraints, acceptance criteria
StatusGPT-5.6 Luna client or agent harness; confirm the live model entry, tools and version before execution.
CodingAgent
UnverifiedX
X: Create a Custom luna_worker Agent for Codex
The X indexed snippet presents a small but executable Codex agent configuration idea: have Sol create a custom agent named lunaworker, set its model to gpt-5.6-luna, and then have that agent take on subagent tasks. The second snippet asks you to preserve the e。
Content typeWorkflow
Inputstask goal, code or product brief, runtime constraints, acceptance criteria
StatusGPT-5.6 Luna client or agent harness; confirm the live model entry, tools and version before execution.
CodingAgent
UnverifiedX
X: Route Lightweight Tasks to GPT-5.6 Luna with fast_scan
The Google index snippet for the X article “How To Use GPT-5.6 All Day Without Hitting Limits” shows a lightweight workflow named fastscan, intended for quick searches, codebase exploration, file reads, and lightweight analysis. It uses the gpt-5.6-luna model 。
Content typeWorkflow
Inputstask goal, source or reference material, desired output format, acceptance criteria
StatusGPT-5.6 Luna client or agent harness; confirm the live model entry, tools and version before execution.
Agentspeed-latency
UnverifiedCodeRabbit Blog
GPT-5.6 Luna Low-Risk First-Pass and Escalation Routing Workflow
One-sentence takeaway Put Luna on low-risk first-pass work such as summaries, labels, lightweight review prechecks, and scaffolding, then escalate failed or complex tasks to Terra/Sol. This is CodeRabbit's reusable routing recommendation for three tiers of cod。
Content typeWorkflow
Inputstask goal, code or product brief, runtime constraints, acceptance criteria
StatusGPT-5.6 Luna client or agent harness; confirm the live model entry, tools and version before execution.
CodingAgent
