omp 17.4.0's host registry rejects registerCustomApi calls under
built-in api names ("Cannot register custom API '<name>': built-in
API names are reserved"). The provider and its models registered
under "openai-completions", so the extension failed to load.
Register under "commandcode-custom" instead (matches the published
npm build) and restore the real wire api via apiForModelId before
dispatching to the native compat stream inside the transport router.
The host's model registry also stores provider-supplied compat under
model.compatConfig internally, only copying it back to model.compat
inside its own dispatch-time patches. Since the transport router calls
the native compat stream directly, it must read compatConfig itself or
requests crash with 'baseCompat is undefined' before any network call.
Verified against a local mock Provider API server with the extension
linked into omp 17.4.0: model discovery lists all Command Code models,
and a streamed chat completion sends the resolved x-cmd-zdr header and
Authorization header end to end.
Resolve the Command Code model cache through the host's getAgentDir helper so pi, OMP, and PI_CODING_AGENT_DIR use their own agent state directory instead of the official Command Code client directory.
Persist the last valid Command Code model catalog and use it when live model discovery fails. Keep first-time offline startup non-fatal, surface clear warnings, and cover cached model selection with unit and pi integration regression tests.
The model fetch at startup throws and blocks pi from starting when
there's no network. Catch the error and register the provider with
an empty model list instead.
Use the explicit $COMMANDCODE_API_KEY environment variable reference expected by newer pi versions while keeping compatibility with the legacy placeholder handling.
DeepSeek V4 Flash cache-read rate was /bin/bash.01/1M but docs list ~/bin/bash.028.
Added xiaomi/mimo-v2.5-pro and xiaomi/mimo-v2.5 to MODEL_COSTS so they
don't display as zero-cost models (pricing TBD, currently set to 0).
- Removed unnecessary blank lines and improved formatting for better readability in index.ts and converters.ts.
- Updated package-lock.json to downgrade several dependencies for compatibility, including @protobufjs/eventemitter, @protobufjs/fetch, and others.
- Enhanced error message in core.ts to clarify configuration options for the Command Code API key.
- Added a test to ensure the correct handling of environment variable values in test-stream.ts.
Support OMP as a host alongside pi:
- Convert OMP's array-format system prompts to string via systemPromptToText
- Guard against OMP passing the literal env-var name as the API key value
- Add ~/.omp/agent/auth.json to default auth path lookup
- Fix --list-models output to check both stdout and stderr
- Add OMP compatibility smoke test with isolated temp HOME and mock server
- Deduplicate usage section in README, add OMP install and usage docs
pi 0.75.5 renamed the npm namespace from @mariozechner/ to @earendil-works/.
Importing from the old namespace causes 'fetch failed' errors at startup.
Changes:
- index.ts: @mariozechner/pi-ai → @earendil-works/pi-ai
- index.ts: @mariozechner/pi-coding-agent → @earendil-works/pi-coding-agent
- package.json: bump deps from 0.72.0 to 0.75.5
- package-lock.json: regenerated with new packages (242 deps)
- tsc --noEmit: zero errors
The Provider API does not expose pricing yet. Overlay a static MODEL_COSTS
map on top of the dynamically fetched model list so pi can display per-model
costs. Models not in the table fall back to zero cost. When the Provider API
adds a cost field, the static table can be removed.
- Add scripts/extract-models.ts to parse command-code npm dist file
- Generate models.json (21 models, 15 pricing entries) with contextWindow
and maxOutputTokens pre-filled; no nulls or hardcoded fallbacks in index.ts
- Rewrite index.ts to load model list and costs from models.json
- Cap gateway model maxOutputTokens at 65536 (API limit for Baseten/Vercel)
- Add 'Update models' section to README documenting the generation flow
- Add npm run extract-models script
Omar Iqbal Naru