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DS2API API Reference

Language: 中文 | English

This document describes the actual behavior of the current Go codebase.

Table of Contents

Basics

Item Details
Base URL http://localhost:5001 or your deployment domain
Default Content-Type application/json
Health probes GET /healthz, GET /readyz
CORS Enabled (Access-Control-Allow-Origin: *, allows Content-Type, Authorization, X-API-Key, X-Ds2-Target-Account, X-Vercel-Protection-Bypass)

Configuration Best Practice

Use config.json as the single source of truth:

cp config.example.json config.json
# Edit config.json (keys/accounts)

Use it per deployment mode:

  • Local run: read config.json directly
  • Docker / Vercel: generate Base64 from config.json, then set DS2API_CONFIG_JSON
DS2API_CONFIG_JSON="$(base64 < config.json | tr -d '\n')"

For Vercel one-click bootstrap, you can set only DS2API_ADMIN_KEY first, then import config at /admin and sync env vars from the "Vercel Sync" page.

Authentication

Business Endpoints (/v1/*, /anthropic/*, /v1beta/models/*)

Two header formats accepted:

Method Example
Bearer Token Authorization: Bearer <token>
API Key Header x-api-key: <token> (no Bearer prefix)

Auth behavior:

  • Token is in config.keys → Managed account mode: DS2API auto-selects an account via rotation
  • Token is not in config.keys → Direct token mode: treated as a DeepSeek token directly

Optional header: X-Ds2-Target-Account: <email_or_mobile> — Pin a specific managed account.

Admin Endpoints (/admin/*)

Endpoint Auth
POST /admin/login Public
GET /admin/verify Authorization: Bearer <jwt> (JWT only)
Other /admin/* Authorization: Bearer <jwt> or Authorization: Bearer <admin_key>

Route Index

Method Path Auth Description
GET /healthz None Liveness probe
GET /readyz None Readiness probe
GET /v1/models None OpenAI model list
GET /v1/models/{id} None OpenAI single-model query (alias accepted)
POST /v1/chat/completions Business OpenAI chat completions
POST /v1/responses Business OpenAI Responses API (stream/non-stream)
GET /v1/responses/{response_id} Business Query stored response (in-memory TTL)
POST /v1/embeddings Business OpenAI Embeddings API
GET /anthropic/v1/models None Claude model list
POST /anthropic/v1/messages Business Claude messages
POST /anthropic/v1/messages/count_tokens Business Claude token counting
POST /v1/messages Business Claude shortcut path
POST /messages Business Claude shortcut path
POST /v1/messages/count_tokens Business Claude token counting shortcut
POST /messages/count_tokens Business Claude token counting shortcut
POST /v1beta/models/{model}:generateContent Business Gemini non-stream
POST /v1beta/models/{model}:streamGenerateContent Business Gemini stream
POST /v1/models/{model}:generateContent Business Gemini non-stream compat path
POST /v1/models/{model}:streamGenerateContent Business Gemini stream compat path
POST /admin/login None Admin login
GET /admin/verify JWT Verify admin JWT
GET /admin/vercel/config Admin Read preconfigured Vercel creds
GET /admin/config Admin Read sanitized config
POST /admin/config Admin Update config
GET /admin/settings Admin Read runtime settings
PUT /admin/settings Admin Update runtime settings (hot reload)
POST /admin/settings/password Admin Update admin password and invalidate old JWTs
POST /admin/config/import Admin Import config (merge/replace)
GET /admin/config/export Admin Export full config (config/json/base64)
POST /admin/keys Admin Add API key
DELETE /admin/keys/{key} Admin Delete API key
GET /admin/accounts Admin Paginated account list
POST /admin/accounts Admin Add account
DELETE /admin/accounts/{identifier} Admin Delete account
GET /admin/queue/status Admin Account queue status
POST /admin/accounts/test Admin Test one account
POST /admin/accounts/test-all Admin Test all accounts
POST /admin/import Admin Batch import keys/accounts
POST /admin/test Admin Test API through service
POST /admin/vercel/sync Admin Sync config to Vercel
GET /admin/vercel/status Admin Vercel sync status
GET /admin/export Admin Export config JSON/Base64
GET /admin/dev/captures Admin Read local packet-capture entries
DELETE /admin/dev/captures Admin Clear local packet-capture entries

Health Endpoints

GET /healthz

{"status": "ok"}

GET /readyz

{"status": "ready"}

OpenAI-Compatible API

GET /v1/models

No auth required. Returns supported models.

Response:

{
  "object": "list",
  "data": [
    {"id": "deepseek-chat", "object": "model", "created": 1677610602, "owned_by": "deepseek", "permission": []},
    {"id": "deepseek-reasoner", "object": "model", "created": 1677610602, "owned_by": "deepseek", "permission": []},
    {"id": "deepseek-chat-search", "object": "model", "created": 1677610602, "owned_by": "deepseek", "permission": []},
    {"id": "deepseek-reasoner-search", "object": "model", "created": 1677610602, "owned_by": "deepseek", "permission": []}
  ]
}

Model Alias Resolution

For chat / responses / embeddings, DS2API follows a wide-input/strict-output policy:

  1. Match DeepSeek native model IDs first.
  2. Then match exact keys in model_aliases.
  3. If still unmatched, fall back by known family heuristics (o*, gpt-*, claude-*, etc.).
  4. If still unmatched, return invalid_request_error.

POST /v1/chat/completions

Headers:

Authorization: Bearer your-api-key
Content-Type: application/json

Request body:

Field Type Required Notes
model string ✅ DeepSeek native models + common aliases (gpt-4o, gpt-5-codex, o3, claude-sonnet-4-5, etc.)
messages array ✅ OpenAI-style messages
stream boolean ❌ Default false
tools array ❌ Function calling schema
temperature, etc. any ❌ Accepted but final behavior depends on upstream

Non-Stream Response

{
  "id": "<chat_session_id>",
  "object": "chat.completion",
  "created": 1738400000,
  "model": "deepseek-reasoner",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "final response",
        "reasoning_content": "reasoning trace (reasoner models)"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 10,
    "completion_tokens": 20,
    "total_tokens": 30,
    "completion_tokens_details": {
      "reasoning_tokens": 5
    }
  }
}

Streaming (stream=true)

SSE format: each frame is data: <json>\n\n, terminated by data: [DONE].

data: {"id":"...","object":"chat.completion.chunk","choices":[{"delta":{"role":"assistant"},"index":0}]}

data: {"id":"...","object":"chat.completion.chunk","choices":[{"delta":{"reasoning_content":"..."},"index":0}]}

data: {"id":"...","object":"chat.completion.chunk","choices":[{"delta":{"content":"..."},"index":0}]}

data: {"id":"...","object":"chat.completion.chunk","choices":[{"delta":{},"index":0,"finish_reason":"stop"}],"usage":{...}}

data: [DONE]

Field notes:

  • First delta includes role: assistant
  • deepseek-reasoner / deepseek-reasoner-search models emit delta.reasoning_content
  • Text emits delta.content
  • Last chunk includes finish_reason and usage

Tool Calls

When tools is present, DS2API performs anti-leak handling:

Non-stream: If detected, returns message.tool_calls, finish_reason=tool_calls, message.content=null.

{
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": null,
        "tool_calls": [
          {
            "id": "call_xxx",
            "type": "function",
            "function": {
              "name": "get_weather",
              "arguments": "{\"city\":\"beijing\"}"
            }
          }
        ]
      },
      "finish_reason": "tool_calls"
    }
  ]
}

Stream: Once high-confidence toolcall features are matched, DS2API emits delta.tool_calls immediately (without waiting for full JSON closure), then keeps sending argument deltas; confirmed raw tool JSON is never forwarded as delta.content.

GET /v1/models/{id}

No auth required. Alias values are accepted as path params (for example gpt-4o), and the returned object is the mapped DeepSeek model.

POST /v1/responses

OpenAI Responses-style endpoint, accepting either input or messages.

Field Type Required Notes
model string ✅ Supports native models + alias mapping
input string/array/object ❌ One of input or messages is required
messages array ❌ One of input or messages is required
instructions string ❌ Prepended as a system message
stream boolean ❌ Default false
tools array ❌ Same tool detection/translation policy as chat
tool_choice string/object ❌ Supports auto/none/required and forced function selection ({"type":"function","name":"..."})

Non-stream: Returns a standard response object with an ID like resp_xxx, and stores it in in-memory TTL cache. If tool_choice=required and no valid tool call is produced, DS2API returns HTTP 422 (error.code=tool_choice_violation).

Stream (SSE): minimal event sequence:

event: response.created
data: {"type":"response.created","id":"resp_xxx","status":"in_progress",...}

event: response.output_item.added
data: {"type":"response.output_item.added","response_id":"resp_xxx","item":{"type":"message|function_call",...},...}

event: response.content_part.added
data: {"type":"response.content_part.added","response_id":"resp_xxx","part":{"type":"output_text",...},...}

event: response.output_text.delta
data: {"type":"response.output_text.delta","response_id":"resp_xxx","item_id":"msg_xxx","output_index":0,"content_index":0,"delta":"..."}

event: response.function_call_arguments.delta
data: {"type":"response.function_call_arguments.delta","response_id":"resp_xxx","call_id":"call_xxx","delta":"..."}

event: response.function_call_arguments.done
data: {"type":"response.function_call_arguments.done","response_id":"resp_xxx","call_id":"call_xxx","name":"tool","arguments":"{...}"}

event: response.content_part.done
data: {"type":"response.content_part.done","response_id":"resp_xxx",...}

event: response.output_item.done
data: {"type":"response.output_item.done","response_id":"resp_xxx","item":{"type":"message|function_call",...},...}

event: response.completed
data: {"type":"response.completed","response":{...}}

data: [DONE]

If tool_choice=required is violated in stream mode, DS2API emits response.failed then [DONE] (no response.completed). Unknown tool names (outside declared tools) are rejected and will not be emitted as valid tool calls.

GET /v1/responses/{response_id}

Business auth required. Fetches cached responses created by POST /v1/responses (caller-scoped; only the same key/token can read).

Backed by in-memory TTL store. Default TTL is 900s (configurable via responses.store_ttl_seconds).

POST /v1/embeddings

Business auth required. Returns OpenAI-compatible embeddings shape.

Field Type Required Notes
model string ✅ Supports native models + alias mapping
input string/array ✅ Supports string, string array, token array

Requires embeddings.provider. Current supported values: mock / deterministic / builtin. If missing/unsupported, returns standard error shape with HTTP 501.

Claude-Compatible API

Besides /anthropic/v1/*, DS2API also supports shortcut paths: /v1/messages, /messages, /v1/messages/count_tokens, /messages/count_tokens.

GET /anthropic/v1/models

No auth required.

Response:

{
  "object": "list",
  "data": [
    {"id": "claude-sonnet-4-5", "object": "model", "created": 1715635200, "owned_by": "anthropic"},
    {"id": "claude-haiku-4-5", "object": "model", "created": 1715635200, "owned_by": "anthropic"},
    {"id": "claude-opus-4-6", "object": "model", "created": 1715635200, "owned_by": "anthropic"}
  ],
  "first_id": "claude-opus-4-6",
  "last_id": "claude-instant-1.0",
  "has_more": false
}

Note: the example is partial; the real response includes historical Claude 1.x/2.x/3.x/4.x IDs and common aliases.

POST /anthropic/v1/messages

Headers:

x-api-key: your-api-key
Content-Type: application/json
anthropic-version: 2023-06-01

anthropic-version is optional; DS2API auto-fills 2023-06-01 when absent.

Request body:

Field Type Required Notes
model string ✅ For example claude-sonnet-4-5 / claude-opus-4-6 / claude-haiku-4-5 (compatible with claude-3-5-haiku-latest), plus historical Claude model IDs
messages array ✅ Claude-style messages
max_tokens number ❌ Auto-filled to 8192 when omitted; not strictly enforced by upstream bridge
stream boolean ❌ Default false
system string ❌ Optional system prompt
tools array ❌ Claude tool schema

Non-Stream Response

{
  "id": "msg_1738400000000000000",
  "type": "message",
  "role": "assistant",
  "model": "claude-sonnet-4-5",
  "content": [
    {"type": "text", "text": "response"}
  ],
  "stop_reason": "end_turn",
  "stop_sequence": null,
  "usage": {
    "input_tokens": 12,
    "output_tokens": 34
  }
}

If tool use is detected, stop_reason becomes tool_use and content contains tool_use blocks.

Streaming (stream=true)

SSE uses paired event: + data: lines. Event type is also in JSON type.

event: message_start
data: {"type":"message_start","message":{...}}

event: content_block_start
data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"hello"}}

event: ping
data: {"type":"ping"}

event: content_block_stop
data: {"type":"content_block_stop","index":0}

event: message_delta
data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null},"usage":{"output_tokens":12}}

event: message_stop
data: {"type":"message_stop"}

Notes:

  • Models whose names contain opus / reasoner / slow stream thinking_delta
  • signature_delta is not emitted (DeepSeek does not provide verifiable thinking signatures)
  • In tools mode, the stream avoids leaking raw tool JSON and does not force input_json_delta

POST /anthropic/v1/messages/count_tokens

Request:

{
  "model": "claude-sonnet-4-5",
  "messages": [
    {"role": "user", "content": "Hello"}
  ]
}

Response:

{
  "input_tokens": 5
}

Gemini-Compatible API

Supported paths:

  • /v1beta/models/{model}:generateContent
  • /v1beta/models/{model}:streamGenerateContent
  • /v1/models/{model}:generateContent (compat path)
  • /v1/models/{model}:streamGenerateContent (compat path)

Authentication is the same as other business routes (Authorization: Bearer <token> or x-api-key).

POST /v1beta/models/{model}:generateContent

Request body accepts Gemini-style contents / tools. Model names can use aliases and are mapped to DeepSeek models.

Response uses Gemini-compatible fields, including:

  • candidates[].content.parts[].text
  • candidates[].content.parts[].functionCall (when tool call is produced)
  • usageMetadata (promptTokenCount / candidatesTokenCount / totalTokenCount)

POST /v1beta/models/{model}:streamGenerateContent

Returns SSE (text/event-stream), each chunk as data: <json>:

  • regular text: incremental text chunks
  • tools mode: buffered and emitted as functionCall at finalize phase
  • final chunk: includes finishReason: "STOP" and usageMetadata

Admin API

POST /admin/login

Public endpoint.

Request:

{
  "admin_key": "admin",
  "expire_hours": 24
}

expire_hours is optional, default 24.

Response:

{
  "success": true,
  "token": "<jwt>",
  "expires_in": 86400
}

GET /admin/verify

Requires JWT: Authorization: Bearer <jwt>

Response:

{
  "valid": true,
  "expires_at": 1738400000,
  "remaining_seconds": 72000
}

GET /admin/vercel/config

Returns Vercel preconfiguration status.

{
  "has_token": true,
  "project_id": "prj_xxx",
  "team_id": null
}

GET /admin/config

Returns sanitized config.

{
  "keys": ["k1", "k2"],
  "accounts": [
    {
      "identifier": "user@example.com",
      "email": "user@example.com",
      "mobile": "",
      "has_password": true,
      "has_token": true,
      "token_preview": "abcde..."
    }
  ],
  "claude_mapping": {
    "fast": "deepseek-chat",
    "slow": "deepseek-reasoner"
  }
}

POST /admin/config

Updatable fields: keys, accounts, claude_mapping.

Request:

{
  "keys": ["k1", "k2"],
  "accounts": [
    {"email": "user@example.com", "password": "pwd", "token": ""}
  ],
  "claude_mapping": {
    "fast": "deepseek-chat",
    "slow": "deepseek-reasoner"
  }
}

GET /admin/settings

Reads runtime settings and status, including:

  • admin (JWT expiry, default-password warning, etc.)
  • runtime (account_max_inflight, account_max_queue, global_max_inflight)
  • toolcall / responses / embeddings
  • auto_delete (sessions)
  • claude_mapping / model_aliases
  • env_backed, needs_vercel_sync

PUT /admin/settings

Hot-updates runtime settings. Supported fields:

  • admin.jwt_expire_hours
  • runtime.account_max_inflight / runtime.account_max_queue / runtime.global_max_inflight
  • toolcall.mode / toolcall.early_emit_confidence
  • responses.store_ttl_seconds
  • embeddings.provider
  • auto_delete.sessions
  • claude_mapping
  • model_aliases

POST /admin/settings/password

Updates admin password and invalidates existing JWTs.

Request example:

{"new_password":"your-new-password"}

POST /admin/config/import

Imports full config with:

  • mode=merge (default)
  • mode=replace

The request can send config directly, or wrapped as {"config": {...}, "mode":"merge"}.

GET /admin/config/export

Exports full config in three forms: config, json, and base64.

POST /admin/keys

{"key": "new-api-key"}

Response: {"success": true, "total_keys": 3}

DELETE /admin/keys/{key}

Response: {"success": true, "total_keys": 2}

GET /admin/accounts

Query params:

Param Default Range
page 1 ≥ 1
page_size 10 1–100

Response:

{
  "items": [
    {
      "identifier": "user@example.com",
      "email": "user@example.com",
      "mobile": "",
      "has_password": true,
      "has_token": true,
      "token_preview": "abc..."
    }
  ],
  "total": 25,
  "page": 1,
  "page_size": 10,
  "total_pages": 3
}

POST /admin/accounts

{"email": "user@example.com", "password": "pwd"}

Response: {"success": true, "total_accounts": 6}

DELETE /admin/accounts/{identifier}

identifier can be email, mobile, or the synthetic id for token-only accounts (token:<hash>).

Response: {"success": true, "total_accounts": 5}

GET /admin/queue/status

{
  "available": 3,
  "in_use": 1,
  "total": 4,
  "available_accounts": ["a@example.com"],
  "in_use_accounts": ["b@example.com"],
  "max_inflight_per_account": 2,
  "recommended_concurrency": 8
}
Field Description
available Currently available accounts
in_use Currently in-use accounts
total Total accounts
max_inflight_per_account Per-account inflight limit
recommended_concurrency Suggested concurrency (total × max_inflight_per_account)

POST /admin/accounts/test

Field Required Notes
identifier ✅ email / mobile / token-only synthetic id
model ❌ default deepseek-chat
message ❌ if empty, only session creation is tested

Response:

{
  "account": "user@example.com",
  "success": true,
  "response_time": 1240,
  "message": "API test successful (session creation only)",
  "model": "deepseek-chat"
}

POST /admin/accounts/test-all

Optional request field: model.

{
  "total": 5,
  "success": 4,
  "failed": 1,
  "results": [...]
}

POST /admin/import

Batch import keys and accounts.

Request:

{
  "keys": ["k1", "k2"],
  "accounts": [
    {"email": "user@example.com", "password": "pwd", "token": ""}
  ]
}

Response:

{
  "success": true,
  "imported_keys": 2,
  "imported_accounts": 1
}

POST /admin/test

Test API availability through the service itself.

Field Required Default
model ❌ deepseek-chat
message ❌ 你好
api_key ❌ First key in config

Response:

{
  "success": true,
  "status_code": 200,
  "response": {"id": "..."}
}

POST /admin/vercel/sync

Field Required Notes
vercel_token ❌ If empty or __USE_PRECONFIG__, read env
project_id ❌ Fallback: VERCEL_PROJECT_ID
team_id ❌ Fallback: VERCEL_TEAM_ID
auto_validate ❌ Default true
save_credentials ❌ Default true

Success response:

{
  "success": true,
  "validated_accounts": 3,
  "message": "Config synced, redeploying...",
  "deployment_url": "https://..."
}

Or manual deploy required:

{
  "success": true,
  "validated_accounts": 3,
  "message": "Config synced to Vercel, please trigger redeploy manually",
  "manual_deploy_required": true
}

GET /admin/vercel/status

{
  "synced": true,
  "last_sync_time": 1738400000,
  "has_synced_before": true
}

GET /admin/export

{
  "json": "{...}",
  "base64": "ey4uLn0="
}

GET /admin/dev/captures

Reads local packet-capture status and recent entries (Admin auth required):

  • enabled
  • limit
  • max_body_bytes
  • items

DELETE /admin/dev/captures

Clears packet-capture entries:

{"success":true,"detail":"capture logs cleared"}

Error Payloads

Compatible routes (/v1/*, /anthropic/*) use the same error envelope:

{
  "error": {
    "message": "...",
    "type": "invalid_request_error",
    "code": "invalid_request",
    "param": null
  }
}

Admin routes keep {"detail":"..."}.

Gemini routes use Google-style errors:

{
  "error": {
    "code": 400,
    "message": "invalid json",
    "status": "INVALID_ARGUMENT"
  }
}

Clients should handle HTTP status code plus error / detail fields.

Common status codes:

Code Meaning
401 Authentication failed (invalid key/token, or expired admin JWT)
429 Too many requests (exceeded inflight + queue capacity)
503 Model unavailable or upstream error

cURL Examples

OpenAI Non-Stream

curl http://localhost:5001/v1/chat/completions \
  -H "Authorization: Bearer your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-chat",
    "messages": [{"role": "user", "content": "Hello"}],
    "stream": false
  }'

OpenAI Stream

curl http://localhost:5001/v1/chat/completions \
  -H "Authorization: Bearer your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-reasoner",
    "messages": [{"role": "user", "content": "Explain quantum entanglement"}],
    "stream": true
  }'

OpenAI Responses (Stream)

curl http://localhost:5001/v1/responses \
  -H "Authorization: Bearer your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5-codex",
    "input": "Write a hello world in golang",
    "stream": true
  }'

OpenAI Embeddings

curl http://localhost:5001/v1/embeddings \
  -H "Authorization: Bearer your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o",
    "input": ["first text", "second text"]
  }'

OpenAI with Search

curl http://localhost:5001/v1/chat/completions \
  -H "Authorization: Bearer your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-chat-search",
    "messages": [{"role": "user", "content": "Latest news today"}],
    "stream": true
  }'

OpenAI Tool Calling

curl http://localhost:5001/v1/chat/completions \
  -H "Authorization: Bearer your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-chat",
    "messages": [{"role": "user", "content": "What is the weather in Beijing?"}],
    "tools": [
      {
        "type": "function",
        "function": {
          "name": "get_weather",
          "description": "Get weather for a city",
          "parameters": {
            "type": "object",
            "properties": {
              "city": {"type": "string", "description": "City name"}
            },
            "required": ["city"]
          }
        }
      }
    ]
  }'

Gemini Non-Stream

curl "http://localhost:5001/v1beta/models/gemini-2.5-pro:generateContent" \
  -H "Authorization: Bearer your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "contents": [
      {
        "role": "user",
        "parts": [{"text": "Introduce Go in three sentences"}]
      }
    ]
  }'

Gemini Stream

curl "http://localhost:5001/v1beta/models/gemini-2.5-flash:streamGenerateContent" \
  -H "Authorization: Bearer your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "contents": [
      {
        "role": "user",
        "parts": [{"text": "Write a short summary"}]
      }
    ]
  }'

Claude Non-Stream

curl http://localhost:5001/anthropic/v1/messages \
  -H "x-api-key: your-api-key" \
  -H "Content-Type: application/json" \
  -H "anthropic-version: 2023-06-01" \
  -d '{
    "model": "claude-sonnet-4-5",
    "max_tokens": 1024,
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Claude Stream

curl http://localhost:5001/anthropic/v1/messages \
  -H "x-api-key: your-api-key" \
  -H "Content-Type: application/json" \
  -H "anthropic-version: 2023-06-01" \
  -d '{
    "model": "claude-opus-4-6",
    "max_tokens": 1024,
    "messages": [{"role": "user", "content": "Explain relativity"}],
    "stream": true
  }'

Admin Login

curl http://localhost:5001/admin/login \
  -H "Content-Type: application/json" \
  -d '{"admin_key": "admin"}'

Pin Specific Account

curl http://localhost:5001/v1/chat/completions \
  -H "Authorization: Bearer your-api-key" \
  -H "X-Ds2-Target-Account: user@example.com" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-chat",
    "messages": [{"role": "user", "content": "Hello"}]
  }'