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bdbais

io.github.bdbais/routeai

by bdbais

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    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables Claude to delegate coding tasks to local Ollama models, reducing API token usage by up to 98.75% while leveraging local compute resources. Supports code generation, review, refactoring, and file analysis with Claude providing oversight and quality assurance.
      407 npm
      24
      AGPL 3.0
    • A
      license
      A
      quality
      C
      maintenance
      Enables Claude Code to offload routine code generation and text processing tasks to a local Ollama LLM, saving Cloud API tokens and costs with automatic model selection and security features.
      11
      35 npm
      4
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables Claude Code to delegate sub-tasks to a local Ollama model through a single tool that accepts a prompt, optional system prompt, and model name and returns the full generated response. This routes bulk or mechanical work to a free local model so Claude's own tokens are reserved for tasks that need Claude-level reasoning.
      407 npm
      MIT

    TDQS

    A3.7/5.0

    Scored across 11 tools

    Disambiguation4/5

    Each tool has a mostly distinct purpose, with action and resource clearly separated. The main overlaps are fleet_status vs fleet_usage on usage/savings metrics and fleet_job vs fleet_queue on background work status, but the descriptions clarify the boundaries.

    Naming Consistency5/5

    All tools share the fleet_ prefix and use lowercase snake_case throughout. The verb/noun suffixes are intuitively matched to each operation, making the naming pattern highly predictable.

    Tool Count5/5

    With 11 tools, the set is well-scoped and covers the fleet lifecycle without redundancy or bloat. Each tool has a clear role, and the count is comfortably within the ideal range.

    Completeness4/5

    The core workflow is well covered: set up the fleet, manage nodes, delegate single/batch tasks, queue work, monitor jobs, provide feedback, benchmark, and track usage. Minor gaps include no way to cancel a running background job or remove a pulled model.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues