feat: Initial project scaffolding and service skeletons #1
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This commit establishes the foundational structure of the AutonomousSphere project based on the initial blueprint. Key additions include: - A complete monorepo directory structure for all services, agents, tools, and packages. - A Docker Compose file to orchestrate Postgres, Redis, MinIO, and application services. - The full database schema defined in a `schema.sql` file. - JSON contract examples for agent-to-agent communication. - Scaffolding for the `openrouter-client` Python package. - FastAPI service skeletons for `files-mcp`, `showrunner`, and the `prose` agent, each with a placeholder API and a Dockerfile. Verification of the containerized environment was blocked by Docker Hub pull rate limits. As a workaround, the `files-mcp` service was successfully verified by running it as a local Python process.
This commit introduces the `metrics-mcp` tool, a key component of the federated writing system. - Scaffolds a new FastAPI service in `apps/tools/metrics-mcp`. - Implements a `/score` endpoint that uses the `textstat` library to calculate Flesch reading ease, average sentence length, and complex word percentage for a given text. - Adds a placeholder `/gate` endpoint for future implementation. Due to the ongoing Docker Hub rate-limiting issues, this service was verified by running it as a local Python process, which was successful. A missing `setuptools` dependency required by `textstat` was also identified and installed locally during this process.
Owner
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Hey @StonerJay420 wow! thanks for the PR would you be open to jumping on the discord for a quick intro call? I am trying to build a community around this and would love to get to know you! |
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This commit establishes the foundational structure of the AutonomousSphere project based on the initial blueprint.
Key additions include:
schema.sqlfile.openrouter-clientPython package.files-mcp,showrunner, and theproseagent, each with a placeholder API and a Dockerfile.Verification of the containerized environment was blocked by Docker Hub pull rate limits. As a workaround, the
files-mcpservice was successfully verified by running it as a local Python process.