winget install --id=paopaoandlingyia.PrismCat -e PrismCat is a self-hosted, transparent proxy and debugging console for LLM APIs. Change one line — your base_url — and instantly see every request and response between your app and OpenAI / Claude / Gemini / Ollama / any LLM API, including streaming (SSE).
> You never know how much junk your SDK silently injects into your prompts — until you use PrismCat.
PrismCat is a self-hosted, transparent proxy and debugging console for LLM APIs.
Change one line — your base_url — and instantly see every request and response between your app and OpenAI / Claude / Gemini / Ollama / any LLM API, including streaming (SSE).
| PrismCat | |
|---|---|
| "Why is my token usage so high? My prompt is short!" | See the hidden system prompts and few-shot examples your SDK silently injects |
| "My Agent went rogue and I have no idea what it did" | Every call is already recorded — review the full behavior chain days later |
| "Streaming output freezes or gets truncated" | Every SSE chunk is captured — tell whether it's the model, the gateway, or your client |
| "Function Calling keeps returning broken JSON" | Capture the raw output, tweak the prompt in the Playground, resend |
| "Multiple people share one API key — whose request failed?" | Tag requests with X-PrismCat-Tag and filter by user or project |
| "I run local models with Ollama and want to see the traffic" | Point an upstream at http://localhost:11434 — it's a generic HTTP proxy |
Grab the binary for your system from Releases.
| Platform | How to Start |
|---|---|
| Windows | Run prismcat.exe — it lives in your system tray |
| Linux / macOS | Run ./prismcat |
| Docker | See Docker Deployment |
Open http://localhost:8711 in your browser.
In the Settings page, add an upstream. For example:
| Name | Target |
|---|---|
openai | https://api.openai.com |
PrismCat gives you a proxy address: http://openai.localhost:8711
from openai import OpenAI
client = OpenAI(
base_url="http://openai.localhost:8711/v1", # ← change only this
api_key="sk-..."
)
# everything else stays exactly the same
response = client.chat.completions.create(
model="gpt-4o",
messages=[{"role": "user", "content": "Hello!"}],
)
Go back to the dashboard. Your full request and response are already there. That's it.
PrismCat uses subdomain routing for truly transparent proxying. When you add an upstream named openai:
Your App PrismCat OpenAI
│ │ │
│ openai.localhost:8711 │ api.openai.com │
│ ─────────────────────────>│ ────────────────────────────>│
│ │ logs request ✓ │
│<─────────────────────────│<────────────────────────────│
│ │ logs response ✓ │
Why subdomains? Because they make the proxy truly transparent — your request paths (like /v1/chat/completions) stay exactly the same. No path rewriting, no SDK quirks. Any language, any SDK, any LLM — as long as it lets you set a base_url, it just works. You can even chain proxies (App → PrismCat → relay → OpenAI) with zero friction.
> 💡 About *.localhost: Modern browsers and most operating systems automatically resolve *.localhost to 127.0.0.1 — no hosts file editing required. If your environment doesn't support this, see Path Routing Mode or add a hosts entry manually.
See a failed request? Hit Replay, tweak the prompt or parameters right in your browser, and resend instantly. No need to re-run your Python/Node script.
Automatically correlate related requests into traces, and extract token usage from responses. Built-in extraction rules for OpenAI, Anthropic, and Gemini — or define your own.
One stable proxy endpoint, several complete targets behind it — switch between them from Settings without touching the client.
Rewrite outbound requests without touching your code — set, remove, or conditionally default JSON body fields, append/prepend to arrays, and set or strip HTTP headers. Each rule is matched by method / path / JSON content; the log detail page shows a side-by-side diff of the original vs. final request.
> 🔒 Strictly opt-in. PrismCat is a transparent proxy by default and never touches your requests unless you (1) flip the master switch, (2) define rules, and (3) bind them to specific upstreams. Skip any of those steps and every byte is forwarded untouched.
Authorization, api-key)Add X-PrismCat-Tag: my-tag to any request header to categorize logs in the UI. Perfect for shared proxies with multiple users or projects.
Single binary, zero dependencies. Windows system tray support. Native Docker image available.
Built to run as a silent, 24/7 black box — you never have to "remember to start capturing."
| PrismCat | mitmproxy | Langfuse / Helicone | |
|---|---|---|---|
| Deployment | Single binary / Docker | Local install + certs | SaaS or complex self-host |
| LLM-Optimized | ✅ JSON formatting, Base64 folding, SSE merge | ❌ Generic HTTP inspector | ✅ But geared toward production monitoring |
| One-Click Replay | ✅ Built-in Playground | ❌ | Partial |
| Integration | Change base_url | System-wide proxy / certs | Instrument SDK code |
| Data Ownership | Fully local | Fully local | Third-party dependent |
| Stream Playback | ✅ Raw + merged view | Poor UX | Partial |
| Long-Term Running | ✅ Auto-cleanup, silent background | Ad-hoc debugging tool | ✅ But requires external infra |
Create a docker-compose.yml:
services:
prismcat:
image: ghcr.io/paopaoandlingyia/prismcat:latest
container_name: prismcat
ports:
- "8711:8711"
environment:
# Dashboard hosts. Use localhost locally; use your domain or IP on a server.
- PRISMCAT_UI_HOSTS=localhost,127.0.0.1
# Base domain for subdomain routing. For bare-IP deployments, enable path routing instead.
- PRISMCAT_PROXY_DOMAINS=localhost
# For bare IP / no wildcard domain deployments: set PRISMCAT_UI_HOSTS to your IP and enable path routing.
# - PRISMCAT_UI_HOSTS=YOUR_IP
# - PRISMCAT_ENABLE_PATH_ROUTING=true
# Recommended for public-facing deployments; leave empty to set it on first UI access
- PRISMCAT_UI_PASSWORD=your_strong_password
- PRISMCAT_RETENTION_DAYS=30
volumes:
- ./data:/app/data
restart: always
docker compose up -d
docker run -d --name prismcat \
-p 8711:8711 \
-e PRISMCAT_UI_HOSTS=localhost,127.0.0.1 \
-e PRISMCAT_PROXY_DOMAINS=localhost \
-e PRISMCAT_UI_PASSWORD=your_strong_password \
-e PRISMCAT_RETENTION_DAYS=30 \
-v ./data:/app/data \
--restart always \
ghcr.io/paopaoandlingyia/prismcat:latest
If your environment can't resolve *.localhost, or you're deploying to a bare IP without a wildcard domain, enable path routing mode in Settings to route by URL path instead of subdomain:
# Path routing mode — no subdomain resolution needed
client = OpenAI(
base_url="http://localhost:8711/_proxy/openai/v1", # On a server: http://YOUR_IP:8711/_proxy/openai/v1
api_key="sk-..."
)
Enable via config or environment variable:
# config.yaml
server:
enable_path_routing: true
path_routing_prefix: "/_proxy"
# or via environment variable
PRISMCAT_ENABLE_PATH_ROUTING=true
> Note: Path routing adds a prefix to your request URL (e.g., /_proxy/openai/...), which may require extra care with how some SDKs construct paths. Subdomain mode doesn't have this caveat.
For public-facing deployments, use a wildcard domain (e.g., *.prismcat.example.com) with Nginx:
server {
listen 80;
server_name prismcat.example.com *.prismcat.example.com;
location / {
proxy_pass http://127.0.0.1:8711;
proxy_set_header Host $host; # Required: pass original Host for subdomain routing
# Required for SSE / streaming
proxy_http_version 1.1;
proxy_set_header Connection "";
proxy_buffering off;
client_max_body_size 50M;
}
}
Then add prismcat.example.com to PrismCat's proxy_domains. The dashboard is available at prismcat.example.com, and your upstream openai is available at openai.prismcat.example.com.
The config file lives at data/config.yaml and is created on first launch. Most settings can also be changed from the Settings page in the UI.
Full config example
server:
port: 8711
ui_password: "" # Console password; leave empty to set it on first UI access
proxy_domains: # Base domains for subdomain routing
- localhost
logging:
max_request_body: 5242880 # Save request content up to 5MB
max_response_body: 33554432 # Save response content up to 32MB
sensitive_headers: # Headers to auto-mask
- Authorization
- api-key
- x-api-key
detach_body_over_bytes: 2097152 # Load bodies > 2MB on demand
body_preview_bytes: 524288 # Inline readable preview; lower for high-frequency long-running use
early_request_body_snapshot: false
logging_rules:
# Filled once from the embedded ai_models.json catalog, then fully user-managed.
model_path_templates_initialized: false
model_path_templates: []
storage:
retention_days: 30 # Log retention in days; 0 = keep forever
upstreams:
openai:
target: "https://api.openai.com"
timeout: 120 # Total timeout for the entire upstream request and response
response_header_timeout: 60 # Advanced: wait for HTTP status/headers; 0 disables; always bounded by total timeout
response_body_first_byte_timeout: 30 # Advanced: wait for the first response body byte after headers; applies to all responses
response_body_idle_timeout: 15 # Advanced: maximum silence after the body starts; resets whenever data arrives
outbound_proxy: "env" # env, direct, or a proxy URL such as http://127.0.0.1:7890
logging_path_filter: # all, allowlist, or denylist; Ant and RE2 regex rules can be mixed
mode: allowlist
rules:
- matcher: ant
pattern: "/v1/responses"
- matcher: regex
pattern: "^/v1/chat/completions$"
gemini:
target: "https://generativelanguage.googleapis.com"
timeout: 120
response_header_timeout: 0
response_body_first_byte_timeout: 0
response_body_idle_timeout: 0 # 0 disables the corresponding stage timeout
outbound_proxy: "http://127.0.0.1:7890"
# Optional: multiple complete target presets behind one stable endpoint.
# target and targets are mutually exclusive; the legacy single-target form remains supported.
codex:
active_target: primary
targets:
primary:
url: "https://api.openai.com"
timeout: 120
outbound_proxy: "env"
request_overrides:
enabled: false
rule_names: []
backup:
url: "https://api.example.com"
timeout: 120
outbound_proxy: "direct"
request_overrides:
enabled: false
rule_names: []
# Request override (opt-in, off by default)
# Supports ops: set, remove, default, append, prepend for JSON body; set, remove for headers.
request_overrides:
enabled: false
max_body_bytes: 1048576
upstreams: {}
rules: []
# Token usage extraction (off by default)
# Built-in rules for OpenAI, Anthropic, Gemini; define your own via paths.
usage_extraction:
enabled: false
upstreams: {}
rules: [] # see config.example.yaml for built-in rule definitions
Q: openai.localhost doesn't work?
Most modern systems resolve *.localhost to 127.0.0.1 automatically. If yours doesn't:
127.0.0.1 openai.localhost to your hosts fileQ: Streaming feels "stuck"?
If you're behind a reverse proxy (e.g., Nginx), make sure you have:
proxy_buffering off;proxy_http_version 1.1;Nginx buffers entire responses by default, making streaming look like it's hanging.
Q: Which LLM services are supported?
PrismCat is a generic HTTP proxy — it's not tied to any specific LLM provider. Any HTTP/HTTPS API works, including:
Q: Does it add latency?
PrismCat uses asynchronous log writing. The proxy overhead is typically under 1ms. Logging never blocks request forwarding.
If PrismCat helps you debug LLM apps or saves you time, you can support the project here: