Orchestrator——Tencent——CodingPlanv1.0.6

Orchestrator spawns multiple sub-agents to review different modules of a large codebase simultaneously using Tencent's coding models. For example, one agent analyzes security, another checks performance, and a third reviews style, all in parallel.

Decompose a research request into parallel searches: one sub-agent uses hunyuan-turbos for quick web searches, another uses kimi-k2.5 for processing long documents, and a third uses glm-5 to write the final report. Results are aggregated by the orchestrator.

When a user uploads a large dataset (e.g., CSV), the orchestrator first uses the main session to summarize the file, then spawns a sub-agent with hunyuan-2.0-thinking to perform deep analysis, while another sub-agent writes a summary using glm-5.

For a project repository, the orchestrator reads multiple code files, spawns sub-agents to extract key functions and generate documentation snippets, then combines them into a cohesive guide with glm-5.

Orchestrator spawns multiple sub-agents to search for competitors' features, pricing, and reviews using hunyuan-turbos. Results are merged and structured by the main session into a comparison table.

Offer tiered subscription plans (e.g., Basic, Pro, Enterprise) with monthly token allowances for using the orchestrator. Users pay for predicted token consumption based on agent count and model selection.

Charge per orchestrated task based on complexity: simple tasks (1-2 agents) cost less, complex tasks (3-5 agents) cost more. Pricing is transparently calculated from estimated token usage.

License the orchestrator to enterprises with dedicated support, custom routing rules, and guaranteed uptime. Integration includes custom model endpoints and compliance with internal data policies.