API 레퍼런스

// Definitions of subtypes are below
type Request = {
  // Required by BazaarLink Chat Completions
  model: string;                    // Use an id or alias from GET /v1/models
  messages: Message[];             // Must contain at least one message

  // Generation
  stream?: boolean;
  temperature?: number;
  max_tokens?: number;             // Positive integer
  max_completion_tokens?: number;  // Alias mapped to max_tokens upstream
  n?: number;
  seed?: number;
  stop?: string | string[];

  // Sampling
  top_p?: number;
  top_k?: number;
  frequency_penalty?: number;
  presence_penalty?: number;
  repetition_penalty?: number;
  min_p?: number;
  top_a?: number;
  // Sampling values are forwarded without range validation; models may clamp or ignore them.

  // Token probabilities
  logit_bias?: Record<number, number>;
  logprobs?: boolean;
  top_logprobs?: number;

  // Stable end-user identifier for abuse prevention
  user?: string;

  // Tool calling
  tools?: Tool[];
  tool_choice?: ToolChoice;
  parallel_tool_calls?: boolean;

  // Structured output
  response_format?: ResponseFormat;
  structured_outputs?: boolean;

  // Plugin configuration — forwarded to upstreams that support plugins.
  plugins?: Plugin[];

  // Multimodal and image-generation options
  modalities?: Array<"text" | "image">;
  image_config?: Record<string, unknown>;
  input_audio?: InputAudio;

  // Provider-specific reasoning controls
  reasoning_effort?: "low" | "medium" | "high";
  include_reasoning?: boolean;
  reasoning?: ReasoningConfig;
  thinking?: ThinkingConfig;
  enable_thinking?: boolean;

};

// Message types
type Message =
  | SystemMessage
  | UserMessage
  | AssistantMessage
  | ToolMessage;

type SystemMessage = {
  role: "system";
  content: string | ContentPart[];
  name?: string;
};

type UserMessage = {
  role: "user";
  content: string | ContentPart[];
  name?: string;
};

type AssistantMessage = {
  role: "assistant";
  content?: string | ContentPart[] | null;
  name?: string;
  tool_calls?: ToolCall[];
};

type ToolMessage = {
  role: "tool";
  content: string;
  tool_call_id: string;
  name?: string;
};

// Multimodal content parts
type ContentPart =
  | TextContentPart
  | ImageContentPart
  | FileContentPart
  | AudioContentPart
  | VideoContentPart;

type TextContentPart = {
  type: "text";
  text: string;
};

type ImageContentPart = {
  type: "image_url";
  image_url: {
    url: string;                    // Remote URL or base64 data URI
    detail?: string;
  };
};

type FileContentPart = {
  type: "file";
  file: {
    filename?: string;
    file_data: string;              // Base64 data URI
  };
};

type AudioContentPart = {
  type: "input_audio";
  input_audio: InputAudio;
};

type InputAudio = {
  data: string;                     // Raw base64 without a data URI prefix
  format: string;                   // For example "wav" or "mp3"
};

type VideoContentPart = {
  type: "video_url";
  video_url: {
    url: string;                    // Remote URL or base64 data URI
  };
};

// Tool calling subtypes
type FunctionDescription = {
  name: string;
  description?: string;
  parameters: object;               // JSON Schema object
};

type Tool = {
  type: "function";
  function: FunctionDescription;
};

type ToolChoice =
  | "none"
  | "auto"
  | "required"
  | {
      type: "function";
      function: {
        name: string;
      };
    };

type ToolCall = {
  id: string;
  type: "function";
  function: {
    name: string;
    arguments: string;
  };
};

// Structured output
type ResponseFormat =
  | {
      type: "json_object";
    }
  | {
      type: "json_schema";
      json_schema: {
        name: string;
        strict?: boolean;
        schema: object;
      };
    };

// Upstream plugin configuration
type Plugin = {
  id: string;
  enabled?: boolean;
  [key: string]: unknown;
};

// Reasoning controls vary by model family
type ReasoningConfig = {
  effort?: "low" | "medium" | "high";
  max_tokens?: number;
  exclude?: boolean;
};

type ThinkingConfig = {
  type?: "enabled" | "disabled";
  budget_tokens?: number;
};

{
  "model": "openai/gpt-4o",
  "messages": [
    { "role": "user", "content": "What happened today?" }
  ],
  "plugins": [
    { "id": "web" }
  ]
}

await fetch("https://api.bazaarlink.ai/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <BAZAARLINK_API_KEY>",
    "Content-Type": "application/json",
    "HTTP-Referer": "https://your-app.example",
    "X-Title": "Your App"
  },
  body: JSON.stringify({
    model: "openai/gpt-4o",
    messages: [{ role: "user", content: "Hello!" }]
  })
});

const response = await client.chat.completions.create({
  model: "anthropic/claude-sonnet-4.6",
  messages: [
    { role: "user", content: "What is the meaning of life?" },
    // Intentional partial response; compatible routes continue from here.
    { role: "assistant", content: "My best answer is" }
  ]
});

type Response = {
  id: string;
  object: "chat.completion" | "chat.completion.chunk";
  created: number;
  model: string;
  choices: Array<NonStreamingChoice | StreamingChoice>;
  usage?: {
    prompt_tokens: number;
    completion_tokens: number;
    total_tokens: number;
    cost?: number;
    prompt_tokens_details?: {
      cached_tokens: number;
      cache_write_tokens?: number;
      audio_tokens?: number;
    };
    completion_tokens_details?: {
      reasoning_tokens?: number;
      image_tokens?: number;
    };
  };
};

type NonStreamingChoice = {
  index: number;
  finish_reason: string | null;
  message: {
    role: "assistant";
    content: string | null;
    tool_calls?: ToolCall[];
    reasoning?: string;                                      // thinking text: when the request asked for it, or by default for the models listed in the reasoning docs section
    reasoning_details?: Array<{ type: string; text?: string }>;
  };
};

type StreamingChoice = {
  index: number;
  finish_reason: string | null;
  delta: {
    role?: string;
    content?: string | null;
    tool_calls?: ToolCall[];
    reasoning?: string;
    reasoning_details?: Array<{ type: string; text?: string }>;
  };
};

{
  "finish_reason": "stop"
}

const generation = await fetch(
  "https://api.bazaarlink.ai/v1/generation?id=<GENERATION_ID>",
  {
    headers: {
      Authorization: "Bearer <BAZAARLINK_API_KEY>"
    }
  }
).then((response) => response.json());

// Definitions of subtypes are below
type Request = {
  // Required by BazaarLink Chat Completions
  model: string;                    // Use an id or alias from GET /v1/models
  messages: Message[];             // Must contain at least one message

  // Generation
  stream?: boolean;
  temperature?: number;
  max_tokens?: number;             // Positive integer
  max_completion_tokens?: number;  // Alias mapped to max_tokens upstream
  n?: number;
  seed?: number;
  stop?: string | string[];

  // Sampling
  top_p?: number;
  top_k?: number;
  frequency_penalty?: number;
  presence_penalty?: number;
  repetition_penalty?: number;
  min_p?: number;
  top_a?: number;
  // Sampling values are forwarded without range validation; models may clamp or ignore them.

  // Token probabilities
  logit_bias?: Record<number, number>;
  logprobs?: boolean;
  top_logprobs?: number;

  // Stable end-user identifier for abuse prevention
  user?: string;

  // Tool calling
  tools?: Tool[];
  tool_choice?: ToolChoice;
  parallel_tool_calls?: boolean;

  // Structured output
  response_format?: ResponseFormat;
  structured_outputs?: boolean;

  // Plugin configuration — forwarded to upstreams that support plugins.
  plugins?: Plugin[];

  // Multimodal and image-generation options
  modalities?: Array<"text" | "image">;
  image_config?: Record<string, unknown>;
  input_audio?: InputAudio;

  // Provider-specific reasoning controls
  reasoning_effort?: "low" | "medium" | "high";
  include_reasoning?: boolean;
  reasoning?: ReasoningConfig;
  thinking?: ThinkingConfig;
  enable_thinking?: boolean;

};

// Message types
type Message =
  | SystemMessage
  | UserMessage
  | AssistantMessage
  | ToolMessage;

type SystemMessage = {
  role: "system";
  content: string | ContentPart[];
  name?: string;
};

type UserMessage = {
  role: "user";
  content: string | ContentPart[];
  name?: string;
};

type AssistantMessage = {
  role: "assistant";
  content?: string | ContentPart[] | null;
  name?: string;
  tool_calls?: ToolCall[];
};

type ToolMessage = {
  role: "tool";
  content: string;
  tool_call_id: string;
  name?: string;
};

// Multimodal content parts
type ContentPart =
  | TextContentPart
  | ImageContentPart
  | FileContentPart
  | AudioContentPart
  | VideoContentPart;

type TextContentPart = {
  type: "text";
  text: string;
};

type ImageContentPart = {
  type: "image_url";
  image_url: {
    url: string;                    // Remote URL or base64 data URI
    detail?: string;
  };
};

type FileContentPart = {
  type: "file";
  file: {
    filename?: string;
    file_data: string;              // Base64 data URI
  };
};

type AudioContentPart = {
  type: "input_audio";
  input_audio: InputAudio;
};

type InputAudio = {
  data: string;                     // Raw base64 without a data URI prefix
  format: string;                   // For example "wav" or "mp3"
};

type VideoContentPart = {
  type: "video_url";
  video_url: {
    url: string;                    // Remote URL or base64 data URI
  };
};

// Tool calling subtypes
type FunctionDescription = {
  name: string;
  description?: string;
  parameters: object;               // JSON Schema object
};

type Tool = {
  type: "function";
  function: FunctionDescription;
};

type ToolChoice =
  | "none"
  | "auto"
  | "required"
  | {
      type: "function";
      function: {
        name: string;
      };
    };

type ToolCall = {
  id: string;
  type: "function";
  function: {
    name: string;
    arguments: string;
  };
};

// Structured output
type ResponseFormat =
  | {
      type: "json_object";
    }
  | {
      type: "json_schema";
      json_schema: {
        name: string;
        strict?: boolean;
        schema: object;
      };
    };

// Upstream plugin configuration
type Plugin = {
  id: string;
  enabled?: boolean;
  [key: string]: unknown;
};

// Reasoning controls vary by model family
type ReasoningConfig = {
  effort?: "low" | "medium" | "high";
  max_tokens?: number;
  exclude?: boolean;
};

type ThinkingConfig = {
  type?: "enabled" | "disabled";
  budget_tokens?: number;
};

{
  "id": "85e6f35c71a31f19-SJC",
  "object": "chat.completion",
  "created": 1740000000,
  "model": "openai/gpt-4o",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Quantum computing leverages quantum mechanics..."
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 28,
    "completion_tokens": 74,
    "total_tokens": 102,
    "cost": 0.0006480,
    "prompt_tokens_details": {
      "cached_tokens": 0
    },
    "completion_tokens_details": {
      "reasoning_tokens": 0
    }
  }
}

type Response = {
  id: string;
  object: "chat.completion" | "chat.completion.chunk";
  created: number;                 // Unix timestamp
  model: string;
  choices: (NonStreamingChoice | StreamingChoice)[];
  usage?: ResponseUsage;
};

type NonStreamingChoice = {
  index: number;
  finish_reason: "stop" | "length" | "tool_calls" | "content_filter" | null;
  message: {
    role: "assistant";
    content: string | null;
    tool_calls?: ToolCall[];
    reasoning?: string;                                      // thinking text: when the request asked for it, or by default for the models listed in the reasoning docs section
    reasoning_details?: Array<{ type: string; text?: string }>;
  };
};

type StreamingChoice = {
  index: number;
  finish_reason: string | null;
  delta: {
    role?: string;
    content?: string | null;
    tool_calls?: ToolCall[];
    reasoning?: string;
    reasoning_details?: Array<{ type: string; text?: string }>;
  };
};

type ResponseUsage = {
  prompt_tokens: number;
  completion_tokens: number;
  total_tokens: number;
  cost: number;                      // USD amount charged to the customer for this request
  prompt_tokens_details?: {
    cached_tokens: number;           // Tokens served from prompt cache (reduced cost)
    cache_write_tokens?: number;     // Tokens written to cache in this request
    audio_tokens?: number;
  };
  completion_tokens_details?: {
    reasoning_tokens?: number;       // Thinking/reasoning tokens (e.g. o3, Qwen3, DeepSeek R1)
    image_tokens?: number;
  };
};

type ToolCall = {
  id: string;
  type: "function";
  function: { name: string; arguments: string };
};

curl -N https://api.bazaarlink.ai/v1/chat/completions \
  -H "Authorization: Bearer $BL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-5.4-image-2",
    "messages": [{"role":"user","content":"a red cat on a sofa"}],
    "modalities": ["image","text"],
    "stream": true
  }'

curl -N https://api.bazaarlink.ai/v1/chat/completions \
  -H "Authorization: Bearer $BL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-5.4-image-2",
    "messages": [{"role":"user","content":[
      {"type":"image_url","image_url":{"url":"data:image/png;base64,..."}},
      {"type":"text","text":"change the background to a night city"}
    ]}],
    "modalities": ["image"],
    "stream": true
  }'

curl https://api.bazaarlink.ai/v1/images/edits \
  -H "Authorization: Bearer $BL_API_KEY" \
  -F model="openai/gpt-5.4-image-2" \
  -F image=@cat.png \
  -F prompt="change the background to a night city"

curl https://api.bazaarlink.ai/v1/images/generations \
  -H "Authorization: Bearer $BL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-image-1",
    "prompt": "a red cat on a sofa",
    "size": "1024x1024"
  }'

# Streaming variant — progressive delivery for long generations
curl -N https://api.bazaarlink.ai/v1/images/generations \
  -H "Authorization: Bearer $BL_API_KEY" \
  -H "Accept: text/event-stream" \
  -H "Content-Type: application/json" \
  -d '{"model":"openai/gpt-5.4-image-2","prompt":"a red cat on a sofa","stream":true}'

: keep-alive

event: image
data: {"index": 0, "url": "https://api.bazaarlink.ai/v1/images/proxy/<token>"}

event: image-cached     # bazaarlink Redis-backed proxy URL (1 hr TTL)
data: {"index": 0, "url": "https://api.bazaarlink.ai/v1/images/proxy/<token>"}

event: usage            # final cost / token count
data: {"promptTokens": 12, "completionTokens": 7080, "cost": 0.226, "durationMs": 163400, "imageCount": 1}

event: done
data: {}

curl https://api.bazaarlink.ai/v1/videos \
  -H "Authorization: Bearer $BL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "bytedance/seedance-2.0",
    "prompt": "a bird flying over mountains",
    "duration": 3,
    "resolution": "720p",
    "generate_audio": false
  }'
# → 202 { "id": "vjob_xxx", "status": "pending" }

curl -H "Authorization: Bearer $BL_API_KEY" \
  https://api.bazaarlink.ai/v1/videos/vjob_xxx

curl -H "Authorization: Bearer $BL_API_KEY" \
  -o output.mp4 \
  https://api.bazaarlink.ai/v1/videos/vjob_xxx/content

curl https://api.bazaarlink.ai/v1/chat/completions \
  -H "$BAZAARLINK_AUTH_HEADER" \
  -H "Content-Type: application/json" \
  -d '{"model":"<audio-chat-model-id>","messages":[{"role":"user","content":"Say hi."}],"stream":true,"modalities":["text","audio"],"audio":{"voice":"alloy","format":"pcm16"},"max_tokens":32}'

{
  "id": "req_example",
  "object": "data.social",
  "platform": "twitter",
  "action": "search",
  "count": 1,
  "results": [
    {
      "id": "post_example",
      "url": "https://x.com/someone/status/post_example",
      "text": "Example post",
      "like_count": 120,
      "reply_count": 8,
      "retweet_count": 14,
      "view_count": 5400,
      "posted_at": "2026-10-07T00:48:38+00:00",
      "author_username": "someone",
      "author_name": "Someone",
      "platform": "twitter"
    }
  ],
  "usage": {
    "cost": 0.0048
  }
}

{
  "platform": "instagram",
  "action": "discover",
  "params": {
    "keyword": "coffee"
  },
  "mode": "async"
}

{
  "id": "job_example",
  "object": "data.job",
  "status": "pending",
  "platform": "instagram",
  "action": "discover"
}

{
  "id": "job_example",
  "object": "data.social",
  "platform": "instagram",
  "action": "discover",
  "count": 1,
  "results": [
    {
      "id": "post_example",
      "url": "https://www.instagram.com/p/example/",
      "text": "Example result",
      "platform": "instagram"
    }
  ],
  "usage": {
    "cost": 0.0096
  }
}

{
  "object": "data.catalog",
  "product": "BazaarLink Data API",
  "platforms": [
    {
      "platform": "twitter",
      "actions": [
        {
          "action": "search",
          "label": "Keyword search",
          "required_params": [
            "keyword"
          ],
          "optional_params": [
            "sort"
          ],
          "max_limit": 200,
          "async": false,
          "price_usd": 0.0048
        }
      ]
    },
    {
      "platform": "instagram",
      "actions": [
        {
          "action": "discover",
          "label": "Discover",
          "required_params": [
            "keyword"
          ],
          "optional_params": [],
          "max_limit": null,
          "async": true,
          "price_usd": 0.0096
        }
      ]
    }
  ]
}

curl https://api.bazaarlink.ai/v1/data/social \
  -H "Authorization: Bearer $BAZAARLINK_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"platform":"twitter","action":"search","params":{"keyword":"BazaarLink","limit":5}}'

import os
import requests

response = requests.post(
    "https://api.bazaarlink.ai/v1/data/social",
    headers={"Authorization": f"Bearer {os.environ['BAZAARLINK_API_KEY']}"},
    json={"platform": "twitter", "action": "search", "params": {"keyword": "BazaarLink", "limit": 5}},
    timeout=30,
)
response.raise_for_status()
print(response.json())

const response = await fetch("https://api.bazaarlink.ai/v1/data/social", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.BAZAARLINK_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ platform: "twitter", action: "search", params: { keyword: "BazaarLink", limit: 5 } }),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());

export BAZAARLINK_AUTH_HEADER="Authorization: $(printf '%s %s' 'Bearer' "$BAZAARLINK_API_KEY")"

curl https://api.bazaarlink.ai/v1/alpha/decisions \
  -H "$BAZAARLINK_AUTH_HEADER" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "cloudflare/clef-flash",
    "state": "The support agent issued a full refund.",
    "questions": {
      "refunded": {
        "type": "noul",
        "instructions": "Was a refund issued?"
      }
    }
  }'

response = client.chat.completions.create(
    model="google/gemini-3.5-flash",
    messages=[{
        "role": "user",
        "content": [
            {
                "type": "video_url",
                "video_url": {"url": "https://example.com/video.mp4"},
            },
            {"type": "text", "text": "What is happening in this video?"},
        ],
    }],
)

import base64

with open("document.pdf", "rb") as f:
    pdf_data = base64.b64encode(f.read()).decode()

response = client.chat.completions.create(
    model="anthropic/claude-sonnet-4.6",
    messages=[{
        "role": "user",
        "content": [
            {
                "type": "file",
                "file": {
                    "filename": "document.pdf",
                    "file_data": f"data:application/pdf;base64,{pdf_data}",
                },
            },
            {"type": "text", "text": "Summarize this document."},
        ],
    }],
)

type ResponsesRequest = {
  model: string;                    // Listed id or alias from GET /v1/models
  input: string | InputItem[];      // string or multi-turn array

  // Optional
  instructions?: string;            // System-level message
  stream?: boolean;                 // Default: false
  max_output_tokens?: number;
  temperature?: number;
  top_p?: number;
  tools?: Tool[];
  tool_choice?: "auto" | "none" | "required" | object;
  parallel_tool_calls?: boolean;    // Default: true
  previous_response_id?: string;    // Not supported — use full input array
};

type InputItem =
  | { type?: "message"; role: "user" | "assistant" | "system" | "developer"; content: string | ContentBlock[] }
  | { type: "function_call_output"; call_id: string; output: string }   // tool result
  | { type: "function_call"; call_id: string; name: string; arguments: string };

type ContentBlock =
  | { type: "input_text"; text: string }
  | { type: "input_image"; image_url: string; detail?: "auto" | "low" | "high" };

// Non-streaming response object
type ResponsesResponse = {
  id: string;             // Opaque BazaarLink request id; format may change
  object: "response";
  created_at: number;
  completed_at: number;
  status: "completed" | "failed" | "incomplete";
  model: string;
  output: OutputItem[];
  usage: {
    input_tokens: number;   // equivalent to prompt_tokens
    output_tokens: number;  // equivalent to completion_tokens
    total_tokens: number;
    cost?: number;          // USD amount charged to the customer for this request
  } | null;
  error: null | { code: string; message: string };
};

type OutputItem =
  | {
      type: "message";
      id: string;
      role: "assistant";
      status: "completed";
      content: Array<{ type: "output_text"; text: string; annotations: [] }>;
    }
  | { type: "function_call"; id: string; call_id: string; name: string; arguments: string; status: "completed" };

# Chat Completions (before)
response = client.chat.completions.create(
    model="openai/gpt-5.4-mini",
    messages=[
        {"role": "system", "content": "You are helpful."},
        {"role": "user",   "content": "Hello"},
    ]
)
text = response.choices[0].message.content

# Responses API (after)
response = client.responses.create(
    model="openai/gpt-5.4-mini",
    instructions="You are helpful.",
    input="Hello"
)
text = response.output[0].content[0].text

{
  "id": "85e6f35c71a31f19-SJC",
  "type": "message",
  "role": "assistant",
  "model": "anthropic/claude-opus-4.6",
  "content": [
    { "type": "text", "text": "Hello! How can I help you today?" }
  ],
  "stop_reason": "end_turn",
  "usage": {
    "input_tokens": 10,
    "output_tokens": 12,
    "cache_read_input_tokens": 0,
    "cache_creation_input_tokens": 0,
    "cost": 0.00042,
    "bz_cost": 0.00042
  }
}

{
  "data": [
    {
      "id": "openai/gpt-4o",
      "name": "GPT 4.1",
      "context_length": 1047576,
      "modality": "text+image+file->text",
      "pricing": {
        "prompt": "2.00",
        "completion": "8.00"
      }
    }
  ]
}

// /v1/models — Response Schema
type ModelsResponse = {
  data: Model[];
};

type Model = {
  id: string;                    // Model ID (e.g. "openai/gpt-4o")
  name: string;                  // Human-readable name
  context_length: number | null; // Max context window in tokens
  modality: string | null;       // e.g. "text->text", "text+image->text"
  architecture?: {
    input_modalities?: string[];
    output_modalities?: Array<
      "text" | "image" | "embeddings" | "audio" |
      "video" | "rerank" | "speech" | "transcription"
    >;
  };
  pricing: {
    prompt: string;              // Input price per 1M tokens (USD)
    completion: string;          // Output price per 1M tokens (USD)
    input_cache_read?: string;   // Cache read price per token (USD); only when the model publishes one
    input_cache_write?: string;  // Cache write price per token (USD); only when the model publishes one
    image_output?: string;       // Image output price per token (USD); only token-billed image models (display only)
  };
  description?: string | null;   // Model description
  top_provider?: {
    max_completion_tokens?: number;
  };
  supported_parameters?: string[]; // e.g. ["tools", "response_format", "reasoning"]
  pricing_tiers?: {               // Present only for models with input-length tiers
    above_prompt_tokens: number;  // Ascending; strict "greater than" threshold
    prompt: string;                // USD per token, override tier
    completion: string;            // USD per token, override tier
    input_cache_read?: string;     // USD per token, only when the tier overrides it
    input_cache_write?: string;    // USD per token, only when the tier overrides it
  }[];
};

{
  "id": "openai/gpt-4o",
  "name": "GPT 4.1",
  "pricing": {
    "prompt": "2.00",
    "completion": "8.00"
  },
  "pricing_tiers": [
    {
      "above_prompt_tokens": 128000,
      "prompt": "4.00",
      "completion": "16.00"
    }
  ]
}

{
  "id": "eval-a3d350e5-2705-4a9b-be7c-838fa4e4eb2b",
  "object": "evaluation",
  "model": "typesafe-ai/jev",
  "answers": {
    "refunded": {
      "type": "boolean",
      "probability": 0.99
    },
    "tone": {
      "type": "choice",
      "choice": "apologetic",
      "probabilities": {
        "apologetic": 1,
        "neutral": 0,
        "hostile": 0
      }
    },
    "quality": {
      "type": "score",
      "score": 1.98,
      "probabilities": {
        "0": 0,
        "1": 0.02,
        "2": 0.98
      }
    }
  },
  "usage": {
    "input_tokens": 394,
    "output_tokens": 74,
    "total_tokens": 468
  },
  "rounding": {
    "probabilityDecimals": 2,
    "scoreDecimals": 2
  },
  "warnings": []
}

{
  "error": {
    "message": "<server-generated message>",
    "type": "invalid_request_error",
    "code": 400
  }
}

data: {"id":"85e6f35c71a31f19-SJC","choices":[{"delta":{"content":"Hello"},"index":0}]}

data: {"id":"85e6f35c71a31f19-SJC","choices":[{"delta":{"content":" world"},"index":0}]}

data: {"id":"85e6f35c71a31f19-SJC","choices":[{"delta":{},"finish_reason":"stop","index":0}],"usage":{"prompt_tokens":10,"completion_tokens":4,"total_tokens":14}}

data: [DONE]

: keepalive          <- SSE comment line — ignore, do NOT JSON.parse

data: {"id":"85e6f35c71a31f19-SJC","choices":[{"delta":{"content":"Hi"},"index":0}]}

data: {"id":"85e6f35c71a31f19-SJC","choices":[{"delta":{},"finish_reason":"stop","index":0}],"usage":{...}}

data: [DONE]

data: {"id":"85e6f35c71a31f19-SJC","choices":[{"delta":{"content":"The capital of "},"index":0}]}

data: {"error":{"message":"The request could not be completed.","type":"upstream_error","code":502}}

data: [DONE]

{
  "data": {
    "total_credits": 100.00,
    "total_usage": 12.34
  }
}

curl "https://api.bazaarlink.ai/v1/generation?id=BAZAARLINK_REQUEST_ID" \
  -H "Authorization: Bearer sk-bl-YOUR_KEY"

{
  "data": {
    "id": "85e6f35c71a31f19-SJC",
    "model": "openai/gpt-4o",
    "provider": "bazaarlink",
    "created_at": "2026-04-20T10:00:00.000Z",
    "app_name": "MyApp",
    "finish_reason": "stop",
    "status": 200,
    "duration_ms": 1234,
    "first_token_ms": 234,
    "throughput": 45.6,
    "usage": {
      "prompt_tokens": 100,
      "completion_tokens": 200,
      "total_tokens": 300,
      "prompt_tokens_details": { "cached_tokens": 50 },
      "completion_tokens_details": { "reasoning_tokens": 30 },
      "cost": 0.00123
    },
    "cost_breakdown": {
      "subtotal": 0.00123,
      "cache_discount": 0.00015,
      "total": 0.00108
    }
  }
}

{
  "data": {
    "label": "Production Key",
    "limit": null,
    "limit_remaining": 100.00,
    "limit_reset": null,
    "expires_at": null,
    "is_free_tier": false,
    "is_management_key": false,
    "is_provisioning_key": false,
    "usage": 12.34,
    "usage_daily": 0.12,
    "usage_weekly": 0.45,
    "usage_monthly": 1.23,
    "requests": 1234,
    "requests_daily": 10,
    "requests_weekly": 50,
    "requests_monthly": 200,
    "rate_limit": { "requests": 600, "interval": "1m", "note": "Paid-tier rate limit." }
  }
}

{
  "error": {
    "message": "Insufficient credits. Please top up to continue.",
    "type": "invalid_request_error",
    "code": "insufficient_credits"
  }
}

{
  "error": {
    "message": "Your prompt was blocked by content moderation.",
    "type": "invalid_request_error",
    "code": "content_filter"
  }
}

data: {"error":{"message":"The request could not be completed.","type":"upstream_error","code":502}}

data: [DONE]

// Branch on error.code; error.type can vary by failure path.

GET https://api.bazaarlink.ai/v1/models
Authorization: Bearer sk-bl-YOUR_API_KEY

# A model within 30 days of its deprecation date shows in the catalog
# with an "EOL" badge on the Models page. After the effective date it's
# dropped from the catalog and calls return:
# 410 { "error": { "type": "model_not_available", "code": "model_retired" } }