Execute migrate and upgrade OpenRouter SDK versions safely. Use when updating dependencies or migrating configurations. Trigger with phrases like 'openrouter upgrade', 'openrouter migration', 'update openrouter', 'openrouter breaking changes'.
npxskills add jeremylongshore/claude-code-plugins-plus-skills--skill openrouter-upgrade-migrationLoading…
!npm list openai 2>/dev/null | head -5
!pip show openai 2>/dev/null | head -5
Migrating to OpenRouter from a direct provider API (OpenAI, Anthropic) is minimal: change base_url and api_key, add two headers. The OpenAI SDK works natively with OpenRouter. This skill covers migrating from direct APIs, switching between models, upgrading SDK versions, and running comparison tests.
openai SDK via npm list openai / pip show openaisk-or-v1-...) exported as — see the skill for setupOPENROUTER_API_KEYopenrouter-install-authOPENAI_API_KEY / ANTHROPIC_API_KEY) kept active during migration for comparison tests and quick rollbackbase_url to https://openrouter.ai/api/v1, switch to OPENROUTER_API_KEY, and add the HTTP-Referer / X-Title headers. Anthropic migrations also change response parsing to .choices[0].message.content.gpt-4o → openai/gpt-4o).temperature=0) to compare content, tokens, and latency against the old backend.USE_OPENROUTER env var plus get_model_id mapping), moving 10% → 50% → 100%.model_not_found, response-format drift, +50–100ms latency) per the Error Handling table.# BEFORE: Direct OpenAI
from openai import OpenAI
client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
response = client.chat.completions.create(
model="gpt-4o",
messages=[{"role": "user", "content": "Hello"}],
max_tokens=200,
)
# AFTER: Via OpenRouter (3 lines changed)
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1", # ← Changed
api_key=os.environ["OPENROUTER_API_KEY"], # ← Changed
default_headers={ # ← Added
"HTTP-Referer": "https://my-app.com",
"X-Title": "my-app",
},
)
response = client.chat.completions.create(
model="openai/gpt-4o", # ← Add provider prefix
messages=[{"role": "user", "content": "Hello"}],
max_tokens=200,
)
# BEFORE: Direct Anthropic SDK
import anthropic
client = anthropic.Anthropic(api_key=os.environ["ANTHROPIC_API_KEY"])
response = client.messages.create(
model="claude-3-5-sonnet-20241022",
max_tokens=200,
messages=[{"role": "user", "content": "Hello"}],
)
content = response.content[0].text
# AFTER: Via OpenRouter (using OpenAI SDK instead of Anthropic SDK)
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key=os.environ["OPENROUTER_API_KEY"],
default_headers={
"HTTP-Referer": "https://my-app.com",
"X-Title": "my-app",
},
)
response = client.chat.completions.create(
model="anthropic/claude-3.5-sonnet", # OpenRouter model ID
messages=[{"role": "user", "content": "Hello"}],
max_tokens=200,
)
content = response.choices[0].message.content # OpenAI response format
// BEFORE: Direct OpenAI
import OpenAI from "openai";
const client = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });
// AFTER: Via OpenRouter
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
defaultHeaders: {
"HTTP-Referer": "https://my-app.com",
"X-Title": "my-app",
},
});
// Change model from "gpt-4o" to "openai/gpt-4o"
MIGRATION_CHECKLIST = {
"config": [
"base_url changed to https://openrouter.ai/api/v1",
"API key changed to OPENROUTER_API_KEY (sk-or-v1-...)",
"HTTP-Referer and X-Title headers added",
"Model IDs prefixed with provider/ (e.g., openai/gpt-4o)",
],
"code": [
"All client initialization updated",
"Model IDs updated in all routes/configs",
"Error handling covers OpenRouter-specific codes (402, 408)",
"Streaming still works with new endpoint",
"Tool/function calling still works",
],
"testing": [
"Same prompts produce comparable quality output",
"Latency within acceptable range (expect +50-100ms)",
"Token counts match expectations",
"Cost tracking updated for OpenRouter pricing",
"Fallback chain tested",
],
"operations": [
"Credit balance sufficient for expected usage",
"Per-key credit limits configured",
"Monitoring updated to track OpenRouter metrics",
"Alerting on new error codes (402, 408)",
"Rollback plan documented",
],
}
| Direct Provider | OpenRouter ID |
|---|---|
gpt-4o | openai/gpt-4o |
gpt-4o-mini | openai/gpt-4o-mini |
o1 | openai/o1 |
claude-3-5-sonnet-20241022 | anthropic/claude-3.5-sonnet |
claude-3-haiku-20240307 | anthropic/claude-3-haiku |
gemini-2.0-flash | google/gemini-2.0-flash-001 |
llama-3.1-8b-instruct | meta-llama/llama-3.1-8b-instruct |
def compare_migration(prompt: str, old_model: str, new_model: str):
"""Run same prompt through old and new configurations to compare."""
import time
# New: OpenRouter
or_client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key=os.environ["OPENROUTER_API_KEY"],
default_headers={"HTTP-Referer": "https://my-app.com", "X-Title": "migration-test"},
)
start = time.monotonic()
or_response = or_client.chat.completions.create(
model=new_model,
messages=[{"role": "user", "content": prompt}],
max_tokens=200, temperature=0,
)
or_latency = (time.monotonic() - start) * 1000
return {
"openrouter": {
"model": or_response.model,
"content": or_response.choices[0].message.content[:100],
"tokens": or_response.usage.prompt_tokens + or_response.usage.completion_tokens,
"latency_ms": round(or_latency),
},
}
# Test
result = compare_migration(
"What is 2+2?",
old_model="gpt-4o",
new_model="openai/gpt-4o",
)
print(json.dumps(result, indent=2))
import os
USE_OPENROUTER = os.environ.get("USE_OPENROUTER", "false").lower() == "true"
def get_llm_client():
"""Feature flag for gradual migration."""
if USE_OPENROUTER:
return OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key=os.environ["OPENROUTER_API_KEY"],
default_headers={"HTTP-Referer": "https://my-app.com", "X-Title": "my-app"},
)
else:
return OpenAI(api_key=os.environ["OPENAI_API_KEY"])
def get_model_id(model: str) -> str:
"""Map model IDs based on current backend."""
if USE_OPENROUTER and "/" not in model:
MODEL_MAP = {"gpt-4o": "openai/gpt-4o", "gpt-4o-mini": "openai/gpt-4o-mini"}
return MODEL_MAP.get(model, f"openai/{model}")
return model
base_url, api_key, headers) plus provider-prefixed model IDs across routes/configsmodel, a content preview, combined token count, and latency_msget_llm_client() that flips between direct OpenAI and OpenRouter via the USE_OPENROUTER env varVerify a migrated model on the same prompt before flipping traffic:
result = compare_migration("What is 2+2?", old_model="gpt-4o", new_model="openai/gpt-4o")
print(json.dumps(result, indent=2))
# {
# "openrouter": {
# "model": "openai/gpt-4o",
# "content": "2 + 2 = 4",
# "tokens": 21,
# "latency_ms": 934
# }
# }
Expect OpenRouter latency to run ~50-100ms above the direct API. More worked examples: references/examples.md.
| Error | Cause | Fix |
|---|---|---|
| 401 after migration | Using old API key with new base_url | Update to OpenRouter API key (sk-or-v1-...) |
model_not_found | Missing provider prefix | Add openai/ or anthropic/ prefix to model ID |
| Different response format | Switched from Anthropic SDK to OpenAI SDK | Update response parsing: .choices[0].message.content |
| Higher latency | OpenRouter proxy overhead | Expected: +50-100ms; use streaming to mask it |
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Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
CLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).