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GoModel

ENTERPILOT/GoModel/AGENTS.md

This project is GoModel - a high-performance, lightweight AI gateway that routes requests to multiple AI model providers through an OpenAI-compatible API. Accept user requests generously, adapt them to each provider’s requirements, and return conservative OpenAI-compatible responses. Prefer production-friendly service design: Reference: https://12factor.net/ Keep files small. Prefer explicit, maintainable code over clever abstractions. Do not add abstractions until a repeated pattern clearly justifies them. Defaults should fit most users so well that they rarely need to change them. When adding…

AGENTS.md1.2k starsChanged 3 months ago
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What's in it

  1. Core Principles
  2. Follow Postel’s Law
  3. Follow The Twelve-Factor App
  4. Keep It Simple
  5. Use Good Defaults
  6. Implementation Guidance
  7. Documentation
  8. Commit and PR Format
  9. Pull Request Guidance
  10. Code Review
  11. Configuration Reference
This project is GoModel - a high-performance, lightweight AI gateway that routes requests to multiple AI model providers through an OpenAI-compatible API.

## Core Principles

### Follow Postel’s Law

Accept user requests generously, adapt them to each provider’s requirements, and return conservative OpenAI-compatible responses.

Examples:

- Accept `max_tokens` from users even when a provider expects another field.
- Translate `max_tokens` to `max_completion_tokens` for OpenAI reasoning models when required.
- Normalize provider responses into an OpenAI-compatible shape.

### Follow The Twelve-Factor App

Prefer production-friendly service design:

- Configuration through environment variables.
- Stateless request handling.
- Clear separation between configuration, routing, provider adapters, and runtime behavior.
- Useful logs for containers and cloud environments.

Reference: https://12factor.net/

### Keep It Simple

Keep files small.

Prefer explicit, maintainable code over clever abstractions.

Do not add abstractions until a repeated pattern clearly justifies them.

### Use Good Defaults

Defaults should fit most users so well that they rarely need to change them.

When adding configuration:

- Choose a safe, practical default.
- Avoid requiring configuration for common use cases.
- Document when and why users should override the default.

## Implementation Guidance

When changing provider behavior:

- Preserve the OpenAI-compatible public API.
- Keep provider-specific logic isolated.
- Avoid leaking provider-specific quirks into user-facing behavior.
- Never expose API keys, authorization headers, or secrets in errors or logs.

When editing code:

- Make the smallest change that solves the problem.
- Use idiomatic Go.
- Prefer clear names, small interfaces, simple structs, and table-driven tests.
- Avoid hidden global state, unnecessary reflection, and premature optimization.
- Add or update tests for behavior changes.

Tests should cover request translation, response normalization, error handling, default configuration, and provider-specific parameter mapping.

Test conventions:

- Assert with `testify`: `require` for preconditions and anything a later line dereferences, `assert` for independent checks and inside goroutines, `Same`/`NotSame` for pointer identity. `internal/testconventions` fails on `if cond { t.Fatal(...) }`; benchmarks keep plain checks so assertion overhead stays out of timed loops.
- Build echo handler requests with `internal/echotest` instead of `httptest.NewRequest` plus `echo.New().NewContext`.
- Fake upstream provider servers with `internal/providers/providertest` (`JSONServer`, `SSEServer`, `RouteServer`) and read what was sent from its capture.
- A provider built on the shared OpenAI-compatible adapter gets one `TestChatCompatibleContract` that calls `providertest.AssertChatCompatible`; set `NativeResponses` when it forwards Responses to `/responses`. Add provider-specific tests only for behavior the contract does not cover.

## Documentation

Documentation in `docs/` directory is Mintlify based. It should be concise, practical, and user-focused.

Show defaults, explain when to change them, and include minimal examples when useful.

## Commit and PR Format

Use Conventional Commits for commit subjects and PR titles:

```text
type(scope): short summary
```

Allowed types: `feat`, `fix`, `perf`, `docs`, `refactor`, `test`, `build`, `ci`, `chore`, `revert`

Examples:

```text
feat(openai): support reasoning model token mapping
fix(router): preserve request headers during provider retry
docs(config): document default provider timeout
```

Squash merges should preserve the PR title as the resulting commit subject.

Do not state that a PR or commit was co-authored by an AI assistant. Keep PR descriptions concise. Do not write a commit description unless it contains essential information for the reviewer. Do not add AI assistant links to PRs or commits.

## Pull Request Guidance

Before opening a PR:

- Ensure tests pass.
- Keep the change focused.
- Explain the user-visible impact.
- Mention provider-specific behavior when relevant.
- Update documentation for new configuration or API behavior.

If this repository is not the official GoModel repository, ask the user whether they also want to create a PR against the official repository:

https://github.com/ENTERPILOT/GoModel/

## Code Review

Greptile and CodeRabbit review new PRs automatically. Monitor CI and the review
comments; verify each finding and address the valid ones before merging. Some
findings appear only in the review summary under headings like "Comments
Outside Diff" — Greptile updates its main comment in place after every push, so
re-read it after each change.

## Configuration Reference

Full reference: `.env.template` and `config/config.example.yaml`

More agent context in ENTERPILOT/GoModel

One other file this repository gives its agents.

CLAUDE.md

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