One gate.
Every model, every API,
every agent.

# Point Claude Code at PromptGate
export ANTHROPIC_BASE_URL="https://promptgate.your.co/api/<uuid>"
export ANTHROPIC_AUTH_TOKEN="pg_live_..."

# Point Codex CLI at PromptGate
export OPENAI_BASE_URL="https://promptgate.your.co/api/<uuid>/v1"
export OPENAI_API_KEY="pg_live_..."

# That's it. Both agents now flow through your gateway,
# with full audit, cost tracking, and PII / secret guards.

from openai import OpenAI

client = OpenAI(
    base_url="https://promptgate.your.co/api/<uuid>/v1",
    api_key="pg_live_...",  # PromptGate token
)

# Route to any provider by name
resp = client.chat.completions.create(
    model="anthropic:claude-3-5-sonnet",
    messages=[{"role": "user", "content": "Hi"}],
)

# Or use an alias defined in the UI
resp = client.chat.completions.create(
    model="smart",   # → anthropic:claude-3-5-sonnet
    stream=True,
)

# Your app calls the gateway with its own PromptGate token —
# the upstream credential lives in the gateway's vault.
curl https://promptgate.your.co/api/<uuid>/proxy/stripe/v1/charges \
  -H "Authorization: Bearer pg_live_..." \
  -d "amount=2000" -d "currency=eur"

# PromptGate adds the right OAuth token, audits the call,
# and forwards it. Stripe's secret stays out of your apps.

# Configure once in the admin UI — admin signs in to the upstream
# provider, PromptGate stores the encrypted tokens.
name:          GitHub Issues
authorize_url: https://github.com/login/oauth/authorize
token_url:     https://github.com/login/oauth/access_token
client_id:     Iv1.abc123…
client_secret: "********"           # encrypted at rest
scopes:        [repo, read:user]

# API Gateway endpoints pointing at GitHub now get the right
# Authorization header injected automatically:
curl https://promptgate.your.co/api/<uuid>/proxy/gh-issues/repos/foo/bar/issues \
  -H "Authorization: Bearer pg_live_..."

# PromptGate refreshes the GH token before it expires.
# Your apps never see access_token or refresh_token.

// One MCP endpoint, every upstream MCP server behind it.
POST https://promptgate.your.co/api/<uuid>/mcp
{"jsonrpc": "2.0", "id": 1, "method": "tools/list"}

// → returns the union of every tool from every active upstream,
//   prefixed with the server namespace
{
  "result": {
    "tools": [
      {"name": "github__create_issue", ...},
      {"name": "linear__list_issues", ...},
      {"name": "fs__read_file", ...}
    ]
  }
}

// MCP-aware client calls a tool exposed by an AI Gateway endpoint
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "summarize-ticket",
    "arguments": { "ticket_id": "PG-1234" }
  }
}

// → executes the endpoint with its provider, prompt,
//   schema, and guardrails — agents speak MCP, you
//   keep the gateway's controls.