go-ai-upstream-sync

name	go-ai-upstream-sync
description	Sync go-ai with upstream @earendil-works/pi-ai changes — audit upstream version deltas, regenerate models, port API/type/provider changes, update docs, and validate parity.
distribution	private

go-ai Upstream Sync

Use this skill when @earendil-works/pi-ai has been updated and go-ai needs to track those changes.

When to run

• After an upstream pi-ai version bump
• When new models/providers appear upstream
• When upstream types.d.ts changes
• When OAuth/login flows change upstream
• When provider behavior or compatibility flags change

Ground rules

• Read the current upstream package from the installed path:
  • /usr/local/lib/bun/install/global/node_modules/@earendil-works/pi-ai
  • fallback legacy path: /usr/local/lib/bun/install/global/node_modules/@mariozechner/pi-ai
• Treat the current go-ai repo state as canonical for file layout.
• Do not assume old file names from earlier refactors (overflow.go, validation.go, sanitize.go, copilot_headers.go, generate-models.ts, etc.).
• Validate with go test ./... and go vet ./... before pushing.
• For every upstream release, perform a complete comparative audit against upstream code and go-ai code before declaring the release synced. Do not treat any release as “just a diff” without this audit.

Current go-ai structure

Important current files:

• types.go
• events.go
• registry.go
• context.go
• transform.go
• harness.go
• env.go
• compat.go
• retry.go
• logger.go
• azure.go
• simple_options.go
• utils.go
• models_generated.go
• doc.go
• inference/provider/*/
• oauth/*.go
• scripts/generate-models.go
• scripts/check-logging.sh
• docs/GAP_ANALYSIS.md
• docs/TEST_MATRIX.md
• docs/AUDIT_REPORT.md

Pre-flight checks

1. Confirm current upstream version

cat /usr/local/lib/bun/install/global/node_modules/@earendil-works/pi-ai/package.json | jq -r .version

2. Check current go-ai sync marker

cd /workspace/projects/go-ai
sed -n '1,20p' docs/GAP_ANALYSIS.md
sed -n '1,5p' models_generated.go

3. Check working tree before sync

cd /workspace/projects/go-ai
git status --short

Sync workflow

Step 1: inspect upstream surface area

PI_AI=/usr/local/lib/bun/install/global/node_modules/@earendil-works/pi-ai
find "$PI_AI/dist" -maxdepth 3 -type f | sort

Read at minimum:

• package.json
• README.md
• dist/index.d.ts
• dist/types.d.ts
• dist/api-registry.d.ts
• dist/providers/register-builtins.d.ts
• relevant dist/providers/*.js / .d.ts
• dist/oauth.d.ts

Step 2: regenerate the model registry

Use the Go generator, not the old TS one.

cd /workspace/projects/go-ai
go run scripts/generate-models.go
go test ./... -count=1
go vet ./...

This picks up:

• new models
• removed models
• pricing changes
• context window changes
• provider ID changes in generated metadata

Step 3: compare types and provider metadata

Compare upstream dist/types.d.ts against:

• types.go
• events.go
• compat.go
• env.go
• simple_options.go

Look for:

• new KnownApi values
• new KnownProvider values
• new StreamOptions fields
• new content block fields
• new compat flags
• changed provider metadata names
• changed stop reasons / transport types / cache retention values

Step 4: compare API registry behavior

Compare upstream registry/types against:

• registry.go
• provider init() registrations

Look for:

• new built-in provider modules
• new aliases
• changed stream/simple-stream contracts

Step 5: compare providers

For each upstream provider under dist/providers/, compare to the Go implementation under inference/provider/.

Current provider mapping:

go-ai	upstream
inference/provider/openai/	dist/providers/openai-completions.*
inference/provider/openairesponses/	dist/providers/openai-responses.*
inference/provider/openaicodex/	dist/providers/openai-codex-responses.*
inference/provider/anthropic/	dist/providers/anthropic.*
inference/provider/google/	dist/providers/google.*
inference/provider/geminicli/	dist/providers/google-gemini-cli.*
inference/provider/mistral/	dist/providers/mistral.*
inference/provider/bedrock/	dist/bedrock-provider.* and/or bedrock provider module
inference/provider/faux/	dist/providers/faux.*

Check for:

• new payload fields
• new headers/session behavior
• retry/reconnect changes
• SSE/WS transport behavior
• Azure-specific normalization / trimming behavior
• tool-call streaming changes
• image handling changes
• reasoning/thinking behavior changes

Step 6: compare OAuth providers

Compare upstream OAuth surface against oauth/*.go.

Check for:

• new provider IDs
• changed endpoints/client IDs/scopes
• new login flows
• changed token refresh behavior
• ModifyModels() behavior changes

Step 7: complete comparative audit pass

After the mechanical per-version sync, do a deliberate second pass over the upstream release code and the current go-ai code. This is mandatory for every upstream release, including metadata-only, docs-only, patch, and no-op-looking releases. Never declare a release synced until this audit is complete.

The audit must compare the upstream release artifacts/code against the Go implementation, not only the changelog. Start from the release notes when available, then verify each note and any actual code diff against go-ai.

Audit at least:

• Type/API surface
  • dist/types.d.ts, dist/index.d.ts, dist/api-registry.d.ts
  • KnownApi, KnownProvider, message fields such as responseId / responseModel
  • StreamOptions / simple options changes (serviceTier, reasoningSummary, timeoutMs, maxRetries, cache/session options)
• Model payload construction
  • request fields added/removed/renamed (max_tokens, max_completion_tokens, max_output_tokens, prompt_cache_key, prompt_cache_retention, reasoning, reasoning_effort, provider-specific thinking blocks)
  • tool payload shape (strict, tool stream flags, tool result names, function call ID normalization)
  • image/tool-result replay behavior
• Provider headers and base URLs
  • API key header changes (Authorization, X-Api-Key, cf-aig-authorization, Copilot dynamic headers)
  • session/cache affinity headers
  • placeholder base URL resolution (e.g. Cloudflare {CLOUDFLARE_*})
  • Azure/OpenAI/Anthropic URL normalization differences
• Streaming/event parsing
  • response ID/model capture
  • usage/cache token normalization (cached_tokens, cache_write_tokens, prompt_cache_hit_tokens)
  • stop reason mapping
  • incomplete stream detection (e.g. Anthropic message_start without message_stop)
  • SSE/WS retry and error propagation changes
• Compatibility detection
  • provider-first vs URL-based detection
  • explicit model compat overrides
  • provider quirks for OpenRouter, DeepSeek, Moonshot, Cloudflare Workers AI / AI Gateway, Ollama, Groq, Cerebras, xAI, z.ai, Vercel AI Gateway, Qwen/DashScope, Chutes, OpenCode

Practical diff commands:

PREV=/tmp/pi-ai-prev/package/dist
NEW=/tmp/pi-ai-new/package/dist

# Surface-level deltas
diff -u "$PREV/types.d.ts" "$NEW/types.d.ts" | sed -n '1,220p'
diff -u "$PREV/providers/openai-completions.js" "$NEW/providers/openai-completions.js" | sed -n '1,260p'
diff -u "$PREV/providers/openai-responses.js" "$NEW/providers/openai-responses.js" | sed -n '1,260p'
diff -u "$PREV/providers/anthropic.js" "$NEW/providers/anthropic.js" | sed -n '1,260p'
diff -u "$PREV/providers/mistral.js" "$NEW/providers/mistral.js" | sed -n '1,220p'
diff -u "$PREV/providers/google-shared.js" "$NEW/providers/google-shared.js" | sed -n '1,220p'
diff -u "$PREV/providers/amazon-bedrock.js" "$NEW/providers/amazon-bedrock.js" | sed -n '1,220p'
diff -u "$PREV/env-api-keys.js" "$NEW/env-api-keys.js" | sed -n '1,160p'

# Focused searches in the new upstream tree
grep -R "responseModel\|prompt_cache\|cache_write\|prompt_cache_hit\|cf-aig\|reasoningEffort\|reasoning_effort\|message_stop\|baseURL\|supportsStrictMode\|maxTokensField" "$NEW"/providers ""/*.js

For every release and every gap found, either:

1. port the behavior,
2. add/adjust tests proving Go already matches it, or
3. document an intentional divergence in docs/AUDIT_REPORT.md and docs/GAP_ANALYSIS.md.

The final response/commit notes must explicitly say the complete comparative audit was performed and summarize the result.

Add fake-server or parser tests for high-risk payload/API changes, especially:

• provider-specific headers and URL resolution
• request body fields and compat flags
• response metadata (responseId, responseModel)
• cache usage normalization
• stop reason and incomplete-stream handling

Step 8: compare docs and residual gaps

Update these when needed:

• README.md
• docs/basic-usage.md
• docs/context-hooks.md
• docs/HARNESS.md
• docs/model-selection.md
• docs/GAP_ANALYSIS.md
• docs/TEST_MATRIX.md
• docs/AUDIT_REPORT.md

Step 9: validate end to end

cd /workspace/projects/go-ai
go test ./... -count=1
go vet ./...
go build ./examples/...
CGO_ENABLED=1 go test -race ./... -count=1
./scripts/check-logging.sh

Optional extra pass:

go test -coverprofile=coverage.out ./...
go tool cover -func=coverage.out | sort -k3 | sed -n '1,120p'

Sync granularity

Always sync one patch release at a time, in order.

Do not skip versions. If upstream went from v0.70.0 to v0.70.3, sync v0.70.1 first, then v0.70.2, then v0.70.3 — each as a separate commit + tag.

Why:

• Intermediate releases may introduce types, flags, or provider changes that later releases depend on.
• Jumping versions risks merging conflicting changes that are hard to debug.
• Per-release commits make git bisect and rollback straightforward.
• Each tag is a known-good state that matches an exact upstream release.

Workflow when multiple releases are pending:

# Check what's available
npm view @earendil-works/pi-ai versions --json | tail -n 10

# Download each release tarball individually
curl -sSL "https://registry.npmjs.org/@earendil-works/pi-ai/-/pi-ai-X.Y.Z.tgz" -o /tmp/pi-ai-X.Y.Z.tgz

# Diff against previous, port, test, commit, tag — then repeat for next version

Required outputs of a sync pass

A correct sync pass should usually do all of these when appropriate:

1. Update code if upstream changed
2. Regenerate models_generated.go if model metadata changed
3. Run the complete comparative audit pass for every upstream release
4. Add or update tests for any high-risk payload/header/streaming changes, or tests proving parity when behavior is already covered
5. Update docs/GAP_ANALYSIS.md to the new upstream version
6. Update docs/AUDIT_REPORT.md when the deep audit finds residual gaps or intentional divergences
7. Record whether the bump was:
   • metadata-only
   • docs-only
   • behavioral/API-affecting
8. Run tests, vet, and build
9. Push commits
10. Tag the release to match upstream: git tag -a vX.Y.Z -m "Sync with upstream pi-ai vX.Y.Z" and git push origin vX.Y.Z

Provider implementation checklist

When adding or updating a provider:

• register the API in init()
• support OnPayload if the provider sends request payloads directly
• support OnResponse where HTTP response headers exist
• wire RetryConfig for HTTP-based providers
• ensure SSE/WS failures surface as ErrorEvent
• add logging at key points
• add provider-level fake-server tests where practical

Logging checklist

At minimum for HTTP providers:

• Debug("stream start", ...)
• Debug("HTTP request", ...)
• Warn("HTTP error response", ...)
• Debug("request aborted", ...) or Warn("network error", ...)

For retry/reconnect-sensitive paths:

• log retry attempts
• surface mid-stream errors as ErrorEvent
• document reconnect expectations in docs if behavior changed

Commit guidance

Use a commit like:

Sync upstream pi-ai vX.Y.Z

- regenerated model registry
- updated provider metadata parity
- ported [specific provider/type/oauth] changes
- updated docs/GAP_ANALYSIS.md

If the bump is metadata-only, say so explicitly in the commit body and in docs/GAP_ANALYSIS.md.