Use Switchyard with Oh My Pi¶
Oh My Pi (omp) is a coding agent based on pi.
It reads its model providers from ~/.omp/agent/models.yml. Add Switchyard there and
omp sends every model call to switchyard-server. omp has no --base-url flag, and
setting OPENAI_BASE_URL does not change the address of its built-in openai provider.
This page was tested with Oh My Pi 18.1.21 against the
Getting Started server on http://localhost:4000
with route id switchyard.
Configure¶
~/.omp/agent/models.yml:
providers:
switchyard:
baseUrl: http://localhost:4000/v1
api: openai-completions
auth: none
models:
- id: switchyard
name: Switchyard stage router
reasoning: true
input: [text, image]
contextWindow: 200000
maxTokens: 32000
auth: nonemarks the provider as keyless. Switchyard ignores client keys unless an LLM client setsforward_auth = true. Withoutauth: none,omprefuses to send a request.models[].idmust equal a routeidfrom your TOML file.contextWindowandmaxTokenssetomp's compaction limit and output cap.reasoning: trueturns on the--thinkingflag.omp models find switchyardshows the loaded entry.
Or let omp list the routes¶
providers:
switchyard:
baseUrl: http://localhost:4000/v1
api: openai-completions
auth: none
discovery:
type: openai-models-list
omp reads GET /v1/models and adds one model per route. For routes that declare
context_window, omp takes the context window from the context_length field that
the server reports. Other routes get omp's default of 128K tokens. Discovered models
have no thinking controls and accept text only. List the models by hand when you need
--thinking or image input. omp caches the list for a day, so run omp models refresh
after you change the routes.
Run¶
omp --model switchyard/switchyard
omp -p --model switchyard/switchyard "List the files in this directory."
--thinking off|minimal|low|medium|high|xhigh sets the reasoning level. Setting
modelRoles.default: switchyard/switchyard in ~/.omp/agent/config.yml makes the route
the default model.
Check the routing¶
The checks in Use Switchyard with pi work the same way for
omp. On the Chat Completions API, omp sends no session header for a custom provider,
so the routing log records "session_id": null. Routes with
classify_trigger = "user_turn" or "new_session", advisor budgets, and the stage
router's capable_hold_turns then treat each request as its own session. If you need
per-session routing, use anthropic-messages. On that API omp sends the
X-Claude-Code-Session-Id header, which Switchyard reads as the session id.
Which request API¶
api |
Endpoint | Use it when |
|---|---|---|
openai-completions |
/v1/chat/completions |
Default. The targets use format = "openai_chat", for example OpenRouter. |
openai-responses |
/v1/responses |
The targets use format = "openai_responses". omp sends store: false and the full history every turn. |
anthropic-messages |
/v1/messages |
You need per-session routing. Set baseUrl: http://localhost:4000 and keep auth: none. |
When the route's LLM client uses the same format as the request, Switchyard forwards the
body unchanged except for model. When the client uses another format, Switchyard
translates the request. Unlike pi, omp keeps the local model id switchyard on stored
messages, so the served target's name in the response does not affect its thinking
replay or compaction.
Port 4000 is also the default port for omp's litellm provider and for
omp auth-gateway. If LITELLM_API_KEY is set, omp probes http://localhost:4000/v1
as a LiteLLM proxy. In that case, run Switchyard on another port or set
LITELLM_BASE_URL. Set cost on the model entry if you want omp to show a non-zero
cost.