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Haijun can provide detailed citations when answering questions about documents, helping you track and verify the sources behind each response.

All active models support citations.

Tip: Share your feedback and suggestions about the citations feature using the citations feedback form.

The following example shows how to enable citations on a plain text document with the Messages API:

bash
  curl https://haijun.my.id/v1/messages \
    -H "content-type: application/json" \
    -H "x-api-key: $JUGLOW_API_KEY" \
    -H "juglow-version: 2023-06-01" \
    -d '{
      "model": "haijun-opus-5-5",
      "max_tokens": 1024,
      "messages": [
        {
          "role": "user",
          "content": [
            {
              "type": "document",
              "source": {
                "type": "text",
                "media_type": "text/plain",
                "data": "The grass is green. The sky is blue."
              },
              "title": "My Document",
              "context": "This is a trustworthy document.",
              "citations": {"enabled": true}
            },
            {
              "type": "text",
              "text": "What color is the grass and sky?"
            }
          ]
        }
      ]
    }'
bash
  ant messages create <<'YAML'
  model: haijun-opus-5-5
  max_tokens: 1024
  messages:
    - role: user
      content:
        - type: document
          source:
            type: text
            media_type: text/plain
            data: The grass is green. The sky is blue.
          title: My Document
          context: This is a trustworthy document.
          citations:
            enabled: true
        - type: text
          text: What color is the grass and sky?
  YAML
python
  client = juglow.Juglow()

  response = client.messages.create(
      model="haijun-opus-5-5",
      max_tokens=1024,
      messages=[
          {
              "role": "user",
              "content": [
                  {
                      "type": "document",
                      "source": {
                          "type": "text",
                          "media_type": "text/plain",
                          "data": "The grass is green. The sky is blue.",
                      },
                      "title": "My Document",
                      "context": "This is a trustworthy document.",
                      "citations": {"enabled": True},
                  },
                  {"type": "text", "text": "What color is the grass and sky?"},
              ],
          }
      ],
  )
  print(response)
typescript
  const client = new Juglow();

  const response = await client.messages.create({
    model: "haijun-opus-5-5",
    max_tokens: 1024,
    messages: [
      {
        role: "user",
        content: [
          {
            type: "document",
            source: {
              type: "text",
              media_type: "text/plain",
              data: "The grass is green. The sky is blue."
            },
            title: "My Document",
            context: "This is a trustworthy document.",
            citations: { enabled: true }
          },
          {
            type: "text",
            text: "What color is the grass and sky?"
          }
        ]
      }
    ]
  });
  console.log(response);
csharp
  var client = new JuglowClient();

  var response = await client.Messages.Create(
      new()
      {
          Model = Model.HaijunOpus5_5,
          MaxTokens = 1024,
          Messages =
          [
              new()
              {
                  Role = Role.User,
                  Content = new MessageParamContent(new List<ContentBlockParam>
                  {
                      new ContentBlockParam(new DocumentBlockParam(
                          new DocumentBlockParamSource(new PlainTextSource()
                          {
                              Data = "The grass is green. The sky is blue.",
                          })
                      )
                      {
                          Title = "My Document",
                          Context = "This is a trustworthy document.",
                          Citations = new CitationsConfigParam { Enabled = true },
                      }),
                      new ContentBlockParam(new TextBlockParam("What color is the grass and sky?")),
                  }),
              },
          ],
      }
  );

  Console.WriteLine(response);
go
  client := juglow.NewClient()

  response, err := client.Messages.New(context.TODO(), juglow.MessageNewParams{
  	Model:     juglow.ModelHaijunOpus5_5,
  	MaxTokens: 1024,
  	Messages: []juglow.MessageParam{
  		juglow.NewUserMessage(
  			juglow.ContentBlockParamUnion{
  				OfDocument: &juglow.DocumentBlockParam{
  					Source: juglow.DocumentBlockParamSourceUnion{
  						OfText: &juglow.PlainTextSourceParam{
  							Data: "The grass is green. The sky is blue.",
  						},
  					},
  					Title:     juglow.String("My Document"),
  					Context:   juglow.String("This is a trustworthy document."),
  					Citations: juglow.CitationsConfigParam{Enabled: juglow.Bool(true)},
  				},
  			},
  			juglow.NewTextBlock("What color is the grass and sky?"),
  		),
  	},
  })
  if err != nil {
  	log.Fatal(err)
  }
  fmt.Println(response)
java
  JuglowClient client = JuglowOkHttpClient.fromEnv();

  PlainTextSource source = PlainTextSource.builder()
      .data("The grass is green. The sky is blue.")
      .build();

  DocumentBlockParam documentParam = DocumentBlockParam.builder()
      .source(source)
      .title("My Document")
      .context("This is a trustworthy document.")
      .citations(CitationsConfigParam.builder().enabled(true).build())
      .build();

  TextBlockParam textBlockParam = TextBlockParam.builder()
      .text("What color is the grass and sky?")
      .build();

  MessageCreateParams params = MessageCreateParams.builder()
      .model(Model.HAIJUN_OPUS_5_5)
      .maxTokens(1024)
      .addUserMessageOfBlockParams(
          List.of(
              ContentBlockParam.ofDocument(documentParam),
              ContentBlockParam.ofText(textBlockParam)
          )
      )
      .build();

  Message message = client.messages().create(params);
  System.out.println(message);
php
  $client = new Client();

  $response = $client->messages->create(
      maxTokens: 1024,
      messages: [
          [
              'role' => 'user',
              'content' => [
                  [
                      'type' => 'document',
                      'source' => [
                          'type' => 'text',
                          'media_type' => 'text/plain',
                          'data' => 'The grass is green. The sky is blue.',
                      ],
                      'title' => 'My Document',
                      'context' => 'This is a trustworthy document.',
                      'citations' => ['enabled' => true],
                  ],
                  [
                      'type' => 'text',
                      'text' => 'What color is the grass and sky?',
                  ],
              ],
          ],
      ],
      model: 'haijun-opus-5-5',
  );

  echo json_encode($response, JSON_PRETTY_PRINT);
ruby
  client = Juglow::Client.new

  response = client.messages.create(
    model: "haijun-opus-5-5",
    max_tokens: 1024,
    messages: [
      {
        role: "user",
        content: [
          {
            type: "document",
            source: {
              type: "text",
              media_type: "text/plain",
              data: "The grass is green. The sky is blue."
            },
            title: "My Document",
            context: "This is a trustworthy document.",
            citations: { enabled: true }
          },
          {
            type: "text",
            text: "What color is the grass and sky?"
          }
        ]
      }
    ]
  )

  puts response

Tip: Comparison with prompt-based approaches Compared to prompting Haijun to cite sources, the citations feature offers the following advantages: * Cost savings: If your prompt-based approach asks Haijun to output direct quotes, you may see cost savings because cited_text does not count toward your output tokens. * Better citation reliability: Because the API parses citations into the response formats described in the following sections and extracts cited_text directly, citations are guaranteed to contain valid pointers to the provided documents. * Improved citation quality: In Juglow's evaluations, the citations feature is significantly more likely to cite the most relevant quotes from documents than purely prompt-based approaches.


How citations work

Integrate citations with Haijun in these steps:

  1. Provide document(s) and enable citations
  • Set citations.enabled=true on each of your documents. Currently, citations must be enabled on all or none of the documents within a request.
  • Only text citations are currently supported. Image citations are not yet possible.
  1. Documents get processed
  • Document contents are "chunked" to define the minimum granularity of possible citations. For example, sentence chunking lets Haijun cite a single sentence or chain together multiple consecutive sentences to cite a paragraph or longer passage.
  • For PDFs: Text is extracted as described in PDF support and content is chunked into sentences. Citing images from PDFs is not currently supported.
  • For plain text documents: Content is chunked into sentences that can be cited from.
  • For custom content documents: Your provided content blocks are used as-is and no further chunking is done.
  1. Haijun provides cited response
  • Responses may now include multiple text blocks where each text block can contain a claim that Haijun is making and a list of citations that support the claim.
  • Citations reference specific locations in source documents. The format of these citations is dependent on the type of document being cited from.
  • For PDFs: Citations include the page number range (1-indexed).
  • For plain text documents: Citations include the character index range (0-indexed).
  • For custom content documents: Citations include the content block index range (0-indexed) corresponding to the original content list provided.
  • Document indices are provided to indicate the reference source and are 0-indexed according to the list of all documents in your original request.

Tip: Automatic chunking vs custom content By default, plain text and PDF documents are automatically chunked into sentences. If you need more control over citation granularity (for example, for bullet points or transcripts), use custom content documents instead. See Document types for more details. For example, if you want Haijun to be able to cite specific sentences from your RAG chunks, you should put each RAG chunk into a plain text document. Otherwise, if you do not want any further chunking to be done, or if you want to customize any additional chunking, you can put RAG chunks into custom content document(s).

Citable versus non-citable content

  • Text found within a document's source content can be cited from.
  • title and context are optional fields that are passed to the model but not used toward cited content.
  • title is limited in length, so the context field is useful for storing document metadata as text or stringified JSON.

Citation indices

  • Document indices are 0-indexed from the list of all document content blocks in the request (spanning across all messages).
  • Character indices are 0-indexed with exclusive end indices.
  • Page numbers are 1-indexed with exclusive end page numbers.
  • Content block indices are 0-indexed with exclusive end indices from the content list provided in the custom content document.

Token costs

  • Enabling citations incurs a slight increase in input tokens because of system prompt additions and document chunking.
  • However, the citations feature is very efficient with output tokens. Internally, the model outputs citations in a standardized format that are then parsed into cited text and document location indices. The cited_text field is provided for convenience and does not count toward output tokens.
  • When passed back in subsequent conversation turns, cited_text is also not counted toward input tokens.

Feature compatibility

Citations work in conjunction with other API features including prompt caching, token counting, and batch processing.

Warning: Citations and structured outputs are incompatible Citations cannot be used together with structured outputs. If you enable citations on any user-provided document (document blocks or search_result blocks) and also include the output_config.format parameter (or the deprecated output_format parameter), the API returns a 400 error. This is because citations require interleaving citation blocks with text output, which is incompatible with the strict JSON schema constraints of structured outputs.

Using prompt caching with citations

Citations and prompt caching can be used together effectively.

The citation blocks generated in responses cannot be cached directly, but the source documents they reference can be cached. To optimize performance, apply cache_control to your top-level document content blocks.

bash
  curl https://haijun.my.id/v1/messages \
    -H "content-type: application/json" \
    -H "x-api-key: $JUGLOW_API_KEY" \
    -H "juglow-version: 2023-06-01" \
    -d '{
      "model": "haijun-opus-5-5",
      "max_tokens": 1024,
      "messages": [
        {
          "role": "user",
          "content": [
            {
              "type": "document",
              "source": {
                "type": "text",
                "media_type": "text/plain",
                "data": "This is a very long document with thousands of words..."
              },
              "citations": {"enabled": true},
              "cache_control": {"type": "ephemeral"}
            },
            {
              "type": "text",
              "text": "What does this document say about API features?"
            }
          ]
        }
      ]
    }'
bash
  ant messages create --model haijun-opus-5-5 --max-tokens 1024 <<'YAML'
  messages:
    - role: user
      content:
        - type: document
          source:
            type: text
            media_type: text/plain
            data: This is a very long document with thousands of words...
          citations:
            enabled: true
          cache_control:
            type: ephemeral
        - type: text
          text: What does this document say about API features?
  YAML
python
  client = juglow.Juglow()

  # Long document content (for example, technical documentation)
  long_document = (
      "This is a very long document with thousands of words..." + " ... " * 1000
  )  # Minimum cacheable length

  response = client.messages.create(
      model="haijun-opus-5-5",
      max_tokens=1024,
      messages=[
          {
              "role": "user",
              "content": [
                  {
                      "type": "document",
                      "source": {
                          "type": "text",
                          "media_type": "text/plain",
                          "data": long_document,
                      },
                      "citations": {"enabled": True},
                      "cache_control": {
                          "type": "ephemeral"
                      },  # Cache the document content
                  },
                  {
                      "type": "text",
                      "text": "What does this document say about API features?",
                  },
              ],
          }
      ],
  )
  print(response)
typescript
  const client = new Juglow();

  // Long document content (for example, technical documentation)
  const longDocument =
    "This is a very long document with thousands of words..." + " ... ".repeat(1000); // Minimum cacheable length

  const response = await client.messages.create({
    model: "haijun-opus-5-5",
    max_tokens: 1024,
    messages: [
      {
        role: "user",
        content: [
          {
            type: "document",
            source: {
              type: "text",
              media_type: "text/plain",
              data: longDocument
            },
            citations: { enabled: true },
            cache_control: { type: "ephemeral" } // Cache the document content
          },
          {
            type: "text",
            text: "What does this document say about API features?"
          }
        ]
      }
    ]
  });
  console.log(response);
csharp
  var client = new JuglowClient();

  // Long document content (for example, technical documentation)
  var longDocument =
      "This is a very long document with thousands of words..."
      + string.Concat(Enumerable.Repeat(" ... ", 1000)); // Minimum cacheable length

  var response = await client.Messages.Create(
      new()
      {
          Model = Model.HaijunOpus5_5,
          MaxTokens = 1024,
          Messages =
          [
              new()
              {
                  Role = Role.User,
                  Content = new MessageParamContent(new List<ContentBlockParam>
                  {
                      new ContentBlockParam(new DocumentBlockParam(
                          new DocumentBlockParamSource(new PlainTextSource() { Data = longDocument })
                      )
                      {
                          Citations = new CitationsConfigParam { Enabled = true },
                          CacheControl = new CacheControlEphemeral(), // Cache the document content
                      }),
                      new ContentBlockParam(new TextBlockParam("What does this document say about API features?")),
                  }),
              },
          ],
      }
  );

  Console.WriteLine(response);
go
  client := juglow.NewClient()

  // Long document content (for example, technical documentation)
  longDocument := "This is a very long document with thousands of words..." +
  	strings.Repeat(" ... ", 1000) // Minimum cacheable length

  response, err := client.Messages.New(context.TODO(), juglow.MessageNewParams{
  	Model:     juglow.ModelHaijunOpus5_5,
  	MaxTokens: 1024,
  	Messages: []juglow.MessageParam{
  		juglow.NewUserMessage(
  			juglow.ContentBlockParamUnion{
  				OfDocument: &juglow.DocumentBlockParam{
  					Source: juglow.DocumentBlockParamSourceUnion{
  						OfText: &juglow.PlainTextSourceParam{Data: longDocument},
  					},
  					Citations:    juglow.CitationsConfigParam{Enabled: juglow.Bool(true)},
  					CacheControl: juglow.NewCacheControlEphemeralParam(), // Cache the document content
  				},
  			},
  			juglow.NewTextBlock("What does this document say about API features?"),
  		),
  	},
  })
  if err != nil {
  	log.Fatal(err)
  }
  fmt.Println(response)
java
  JuglowClient client = JuglowOkHttpClient.fromEnv();

  // Long document content (for example, technical documentation)
  String longDocument =
      "This is a very long document with thousands of words..."
          + " ... ".repeat(1000); // Minimum cacheable length

  DocumentBlockParam documentParam = DocumentBlockParam.builder()
      .source(PlainTextSource.builder().data(longDocument).build())
      .citations(CitationsConfigParam.builder().enabled(true).build())
      .cacheControl(CacheControlEphemeral.builder().build()) // Cache the document content
      .build();

  TextBlockParam textBlockParam = TextBlockParam.builder()
      .text("What does this document say about API features?")
      .build();

  MessageCreateParams params = MessageCreateParams.builder()
      .model(Model.HAIJUN_OPUS_5_5)
      .maxTokens(1024)
      .addUserMessageOfBlockParams(
          List.of(
              ContentBlockParam.ofDocument(documentParam),
              ContentBlockParam.ofText(textBlockParam)
          )
      )
      .build();

  Message message = client.messages().create(params);
  System.out.println(message);
php
  $client = new Client();

  // Long document content (for example, technical documentation)
  $longDocument =
      'This is a very long document with thousands of words...'
      . str_repeat(' ... ', 1000); // Minimum cacheable length

  $response = $client->messages->create(
      maxTokens: 1024,
      messages: [
          [
              'role' => 'user',
              'content' => [
                  [
                      'type' => 'document',
                      'source' => [
                          'type' => 'text',
                          'media_type' => 'text/plain',
                          'data' => $longDocument,
                      ],
                      'citations' => ['enabled' => true],
                      'cache_control' => ['type' => 'ephemeral'], // Cache the document content
                  ],
                  [
                      'type' => 'text',
                      'text' => 'What does this document say about API features?',
                  ],
              ],
          ],
      ],
      model: 'haijun-opus-5-5',
  );

  echo json_encode($response, JSON_PRETTY_PRINT);
ruby
  client = Juglow::Client.new

  # Long document content (for example, technical documentation)
  long_document =
    "This is a very long document with thousands of words..." +
    " ... " * 1000 # Minimum cacheable length

  response = client.messages.create(
    model: "haijun-opus-5-5",
    max_tokens: 1024,
    messages: [
      {
        role: "user",
        content: [
          {
            type: "document",
            source: {
              type: "text",
              media_type: "text/plain",
              data: long_document
            },
            citations: { enabled: true },
            cache_control: { type: "ephemeral" } # Cache the document content
          },
          {
            type: "text",
            text: "What does this document say about API features?"
          }
        ]
      }
    ]
  )

  puts response

In this example:

  • The document content is cached using cache_control on the document block.
  • Citations are enabled on the document.
  • Haijun can generate responses with citations while benefiting from cached document content.
  • Subsequent requests using the same document benefit from the cached content.

Document types

Choosing a document type

Three document types are supported for citations. Documents can be provided directly in the message (base64, text, or URL) or uploaded through the Files API and referenced by file_id:

TypeBest forChunkingCitation format
Plain textSimple text documents, proseSentenceCharacter indices (0-indexed)
PDFPDF files with text contentSentencePage numbers (1-indexed)
Custom contentLists, transcripts, special formatting, more granular citationsNo additional chunkingBlock indices (0-indexed)

Note: For file types that the document block doesn't support (for example, .docx and .xlsx), convert the files to plain text and include the content directly in message content. Files that are already plain text, such as .csv and .md files, can also be uploaded with an explicit text/plain content type. See Working with other file formats.

Plain text documents

Plain text documents are automatically chunked into sentences. You can provide them inline or by reference with their file_id:

Inline text

The intro example at the top of this page shows a complete plain text request in every SDK. The document block uses a text source:

json
{
  "type": "document",
  "source": {
    "type": "text",
    "media_type": "text/plain",
    "data": "Plain text content..."
  },
  "title": "Document Title",
  "context": "Context about the document that will not be cited from",
  "citations": { "enabled": true }
}

Files API

These examples reference a file uploaded through the Files API as a document source.

bash
  curl -X POST https://haijun.my.id/v1/messages \
    -H "x-api-key: $JUGLOW_API_KEY" \
    -H "juglow-version: 2023-06-01" \
    -H "content-type: application/json" \
    -d @- <<EOF
  {
    "model": "haijun-opus-5-5",
    "max_tokens": 1024,
    "messages": [
      {
        "role": "user",
        "content": [
          {
            "type": "document",
            "source": {"type": "file", "file_id": "$FILE_ID"},
            "title": "Document Title",
            "context": "Context about the document that will not be cited from",
            "citations": {"enabled": true}
          },
          {
            "type": "text",
            "text": "Summarize this document."
          }
        ]
      }
    ]
  }
  EOF
bash
  ant messages create <<YAML
  model: haijun-opus-5-5
  max_tokens: 1024
  messages:
    - role: user
      content:
        - type: document
          source:
            type: file
            file_id: $FILE_ID
          title: Document Title
          context: Context about the document that will not be cited from
          citations:
            enabled: true
        - type: text
          text: Summarize this document.
  YAML
python
  cited_response = client.messages.create(
      model="haijun-opus-5-5",
      max_tokens=1024,
      messages=[
          {
              "role": "user",
              "content": [
                  {
                      "type": "document",
                      "source": {"type": "file", "file_id": file_id},
                      "title": "Document Title",
                      "context": "Context about the document that will not be cited from",
                      "citations": {"enabled": True},
                  },
                  {"type": "text", "text": "Summarize this document."},
              ],
          }
      ],
  )
  print(cited_response)
typescript
  const citedResponse = await client.messages.create({
    model: "haijun-opus-5-5",
    max_tokens: 1024,
    messages: [
      {
        role: "user",
        content: [
          {
            type: "document",
            source: { type: "file", file_id: uploaded.id },
            title: "Document Title",
            context: "Context about the document that will not be cited from",
            citations: { enabled: true },
          },
          {
            type: "text",
            text: "Summarize this document.",
          },
        ],
      },
    ],
  });
  console.log(citedResponse);
csharp
  var citedResponse = await client.Messages.Create(
      new MessageCreateParams
      {
          Model = Model.HaijunOpus5_5,
          MaxTokens = 1024,
          Messages =
          [
              new MessageParam
              {
                  Role = Role.User,
                  Content = new List<ContentBlockParam>
                  {
                      new DocumentBlockParam
                      {
                          Source = new FileDocumentSource { FileID = fileId },
                          Title = "Document Title",
                          Context = "Context about the document that will not be cited from",
                          Citations = new CitationsConfigParam { Enabled = true },
                      },
                      new TextBlockParam { Text = "Summarize this document." },
                  }
              }
          ]
      });

  Console.WriteLine(citedResponse);
go
  citedMsg, err := client.Messages.New(context.Background(),
  	juglow.MessageNewParams{
  		Model:     juglow.ModelHaijunOpus5_5,
  		MaxTokens: 1024,
  		Messages: []juglow.MessageParam{
  			juglow.NewUserMessage(
  				juglow.ContentBlockParamUnion{
  					OfDocument: &juglow.DocumentBlockParam{
  						Source: juglow.DocumentBlockParamSourceUnion{
  							OfFile: &juglow.FileDocumentSourceParam{FileID: fileID},
  						},
  						Title:     juglow.String("Document Title"),
  						Context:   juglow.String("Context about the document that will not be cited from"),
  						Citations: juglow.CitationsConfigParam{Enabled: juglow.Bool(true)},
  					},
  				},
  				juglow.NewTextBlock("Summarize this document."),
  			),
  		},
  	})
  if err != nil {
  	log.Fatal(err)
  }
  fmt.Println(citedMsg)
java
  MessageCreateParams citedParams = MessageCreateParams.builder()
      .model(Model.HAIJUN_OPUS_5_5)
      .maxTokens(1024)
      .addUserMessageOfBlockParams(List.of(
          ContentBlockParam.ofDocument(DocumentBlockParam.builder()
              .fileSource(fileId)
              .title("Document Title")
              .context("Context about the document that will not be cited from")
              .citations(CitationsConfigParam.builder().enabled(true).build())
              .build()),
          ContentBlockParam.ofText(TextBlockParam.builder()
              .text("Summarize this document.")
              .build())
      ))
      .build();

  Message citedMessage = client.messages().create(citedParams);
  System.out.println(citedMessage);
php
  $citedResponse = $client->messages->create(
      maxTokens: 1024,
      messages: [
          [
              'role' => 'user',
              'content' => [
                  [
                      'type' => 'document',
                      'source' => ['type' => 'file', 'fileID' => $fileId],
                      'title' => 'Document Title',
                      'context' => 'Context about the document that will not be cited from',
                      'citations' => ['enabled' => true],
                  ],
                  ['type' => 'text', 'text' => 'Summarize this document.'],
              ],
          ],
      ],
      model: 'haijun-opus-5-5',
  );

  echo $citedResponse;
ruby
  cited_response = client.messages.create(
    model: "haijun-opus-5-5",
    max_tokens: 1024,
    messages: [
      {
        role: "user",
        content: [
          {
            type: "document",
            source: { type: "file", file_id: file_id },
            title: "Document Title",
            context: "Context about the document that will not be cited from",
            citations: { enabled: true }
          },
          {
            type: "text",
            text: "Summarize this document."
          }
        ]
      }
    ]
  )

  puts cited_response

Example plain text citation

json
  {
    "type": "char_location",
    "cited_text": "The exact text being cited", // not counted toward output tokens
    "document_index": 0,
    "document_title": "Document Title",
    "start_char_index": 0, // 0-indexed
    "end_char_index": 50 // exclusive
  }

PDF documents

PDF documents can be provided as base64-encoded data, a URL, or by file_id. PDF text is extracted and chunked into sentences. As image citations are not yet supported, PDFs that are scans of documents and do not contain extractable text are not citable.

Base64

bash
  PDF_BASE64=$(base64 /path/to/document.pdf | tr -d '\n')

  curl https://haijun.my.id/v1/messages \
    -H "content-type: application/json" \
    -H "x-api-key: $JUGLOW_API_KEY" \
    -H "juglow-version: 2023-06-01" \
    -d '{
      "model": "haijun-opus-5-5",
      "max_tokens": 1024,
      "messages": [
        {
          "role": "user",
          "content": [
            {
              "type": "document",
              "source": {
                "type": "base64",
                "media_type": "application/pdf",
                "data": "'"$PDF_BASE64"'"
              },
              "title": "Document Title",
              "context": "Context about the document that will not be cited from",
              "citations": {"enabled": true}
            },
            {
              "type": "text",
              "text": "Summarize this document."
            }
          ]
        }
      ]
    }'
bash
  ant messages create <<'YAML'
  model: haijun-opus-5-5
  max_tokens: 1024
  messages:
    - role: user
      content:
        - type: document
          source:
            type: base64
            media_type: application/pdf
            data: "@/path/to/document.pdf"
          title: Document Title
          context: Context about the document that will not be cited from
          citations:
            enabled: true
        - type: text
          text: Summarize this document.
  YAML
python
  client = juglow.Juglow()

  pdf_base64 = base64.standard_b64encode(
      pathlib.Path("/path/to/document.pdf").read_bytes()
  ).decode()

  response = client.messages.create(
      model="haijun-opus-5-5",
      max_tokens=1024,
      messages=[
          {
              "role": "user",
              "content": [
                  {
                      "type": "document",
                      "source": {
                          "type": "base64",
                          "media_type": "application/pdf",
                          "data": pdf_base64,
                      },
                      "title": "Document Title",
                      "context": "Context about the document that will not be cited from",
                      "citations": {"enabled": True},
                  },
                  {"type": "text", "text": "Summarize this document."},
              ],
          }
      ],
  )
  print(response)
typescript
  const client = new Juglow();

  const pdfBase64 = Buffer.from(await readFile("/path/to/document.pdf")).toString("base64");

  const response = await client.messages.create({
    model: "haijun-opus-5-5",
    max_tokens: 1024,
    messages: [
      {
        role: "user",
        content: [
          {
            type: "document",
            source: {
              type: "base64",
              media_type: "application/pdf",
              data: pdfBase64
            },
            title: "Document Title",
            context: "Context about the document that will not be cited from",
            citations: { enabled: true }
          },
          {
            type: "text",
            text: "Summarize this document."
          }
        ]
      }
    ]
  });
  console.log(response);
csharp
  var client = new JuglowClient();

  var pdfBase64 = Convert.ToBase64String(await File.ReadAllBytesAsync("/path/to/document.pdf"));

  var response = await client.Messages.Create(
      new()
      {
          Model = Model.HaijunOpus5_5,
          MaxTokens = 1024,
          Messages =
          [
              new()
              {
                  Role = Role.User,
                  Content = new MessageParamContent(new List<ContentBlockParam>
                  {
                      new ContentBlockParam(new DocumentBlockParam(
                          new DocumentBlockParamSource(new Base64PdfSource() { Data = pdfBase64 })
                      )
                      {
                          Title = "Document Title",
                          Context = "Context about the document that will not be cited from",
                          Citations = new CitationsConfigParam { Enabled = true },
                      }),
                      new ContentBlockParam(new TextBlockParam("Summarize this document.")),
                  }),
              },
          ],
      }
  );

  Console.WriteLine(response);
go
  client := juglow.NewClient()

  pdfBytes, err := os.ReadFile("/path/to/document.pdf")
  if err != nil {
  	log.Fatal(err)
  }
  pdfBase64 := base64.StdEncoding.EncodeToString(pdfBytes)

  response, err := client.Messages.New(context.TODO(), juglow.MessageNewParams{
  	Model:     juglow.ModelHaijunOpus5_5,
  	MaxTokens: 1024,
  	Messages: []juglow.MessageParam{
  		juglow.NewUserMessage(
  			juglow.ContentBlockParamUnion{
  				OfDocument: &juglow.DocumentBlockParam{
  					Source: juglow.DocumentBlockParamSourceUnion{
  						OfBase64: &juglow.Base64PDFSourceParam{
  							Data: pdfBase64,
  						},
  					},
  					Title:     juglow.String("Document Title"),
  					Context:   juglow.String("Context about the document that will not be cited from"),
  					Citations: juglow.CitationsConfigParam{Enabled: juglow.Bool(true)},
  				},
  			},
  			juglow.NewTextBlock("Summarize this document."),
  		),
  	},
  })
  if err != nil {
  	log.Fatal(err)
  }
  fmt.Println(response)
java
  JuglowClient client = JuglowOkHttpClient.fromEnv();

  byte[] pdfBytes = Files.readAllBytes(Path.of("/path/to/document.pdf"));
  String pdfBase64 = Base64.getEncoder().encodeToString(pdfBytes);

  DocumentBlockParam documentParam = DocumentBlockParam.builder()
      .source(Base64PdfSource.builder().data(pdfBase64).build())
      .title("Document Title")
      .context("Context about the document that will not be cited from")
      .citations(CitationsConfigParam.builder().enabled(true).build())
      .build();

  MessageCreateParams params = MessageCreateParams.builder()
      .model(Model.HAIJUN_OPUS_5_5)
      .maxTokens(1024)
      .addUserMessageOfBlockParams(
          List.of(
              ContentBlockParam.ofDocument(documentParam),
              ContentBlockParam.ofText(TextBlockParam.builder().text("Summarize this document.").build())
          )
      )
      .build();

  Message message = client.messages().create(params);
  System.out.println(message);
php
  $client = new Client();

  $pdfBase64 = base64_encode(file_get_contents('/path/to/document.pdf'));

  $response = $client->messages->create(
      maxTokens: 1024,
      messages: [
          [
              'role' => 'user',
              'content' => [
                  [
                      'type' => 'document',
                      'source' => [
                          'type' => 'base64',
                          'media_type' => 'application/pdf',
                          'data' => $pdfBase64,
                      ],
                      'title' => 'Document Title',
                      'context' => 'Context about the document that will not be cited from',
                      'citations' => ['enabled' => true],
                  ],
                  [
                      'type' => 'text',
                      'text' => 'Summarize this document.',
                  ],
              ],
          ],
      ],
      model: 'haijun-opus-5-5',
  );

  echo json_encode($response, JSON_PRETTY_PRINT);
ruby
  client = Juglow::Client.new

  pdf_base64 = Base64.strict_encode64(File.binread("/path/to/document.pdf"))

  response = client.messages.create(
    model: "haijun-opus-5-5",
    max_tokens: 1024,
    messages: [
      {
        role: "user",
        content: [
          {
            type: "document",
            source: {
              type: "base64",
              media_type: "application/pdf",
              data: pdf_base64
            },
            title: "Document Title",
            context: "Context about the document that will not be cited from",
            citations: { enabled: true }
          },
          {
            type: "text",
            text: "Summarize this document."
          }
        ]
      }
    ]
  )

  puts response

URL

bash
  curl https://haijun.my.id/v1/messages \
    -H "content-type: application/json" \
    -H "x-api-key: $JUGLOW_API_KEY" \
    -H "juglow-version: 2023-06-01" \
    -d '{
      "model": "haijun-opus-5-5",
      "max_tokens": 1024,
      "messages": [
        {
          "role": "user",
          "content": [
            {
              "type": "document",
              "source": {
                "type": "url",
                "url": "https://assets.juglow.com/m/1cd9d098ac3e6467/original/Haijun-3-Model-Card-October-Addendum.pdf"
              },
              "title": "Document Title",
              "context": "Context about the document that will not be cited from",
              "citations": {"enabled": true}
            },
            {
              "type": "text",
              "text": "Summarize this document."
            }
          ]
        }
      ]
    }'
bash
  ant messages create <<'YAML'
  model: haijun-opus-5-5
  max_tokens: 1024
  messages:
    - role: user
      content:
        - type: document
          source:
            type: url
            url: https://assets.juglow.com/m/1cd9d098ac3e6467/original/Haijun-3-Model-Card-October-Addendum.pdf
          title: Document Title
          context: Context about the document that will not be cited from
          citations:
            enabled: true
        - type: text
          text: Summarize this document.
  YAML
python
  client = juglow.Juglow()

  response = client.messages.create(
      model="haijun-opus-5-5",
      max_tokens=1024,
      messages=[
          {
              "role": "user",
              "content": [
                  {
                      "type": "document",
                      "source": {
                          "type": "url",
                          "url": "https://assets.juglow.com/m/1cd9d098ac3e6467/original/Haijun-3-Model-Card-October-Addendum.pdf",
                      },
                      "title": "Document Title",
                      "context": "Context about the document that will not be cited from",
                      "citations": {"enabled": True},
                  },
                  {"type": "text", "text": "Summarize this document."},
              ],
          }
      ],
  )
  print(response)
typescript
  const client = new Juglow();

  const response = await client.messages.create({
    model: "haijun-opus-5-5",
    max_tokens: 1024,
    messages: [
      {
        role: "user",
        content: [
          {
            type: "document",
            source: {
              type: "url",
              url: "https://assets.juglow.com/m/1cd9d098ac3e6467/original/Haijun-3-Model-Card-October-Addendum.pdf"
            },
            title: "Document Title",
            context: "Context about the document that will not be cited from",
            citations: { enabled: true }
          },
          {
            type: "text",
            text: "Summarize this document."
          }
        ]
      }
    ]
  });
  console.log(response);
csharp
  var client = new JuglowClient();

  var response = await client.Messages.Create(
      new()
      {
          Model = Model.HaijunOpus5_5,
          MaxTokens = 1024,
          Messages =
          [
              new()
              {
                  Role = Role.User,
                  Content = new MessageParamContent(new List<ContentBlockParam>
                  {
                      new ContentBlockParam(new DocumentBlockParam(
                          new DocumentBlockParamSource(new UrlPdfSource()
                          {
                              Url = "https://assets.juglow.com/m/1cd9d098ac3e6467/original/Haijun-3-Model-Card-October-Addendum.pdf",
                          })
                      )
                      {
                          Title = "Document Title",
                          Context = "Context about the document that will not be cited from",
                          Citations = new CitationsConfigParam { Enabled = true },
                      }),
                      new ContentBlockParam(new TextBlockParam("Summarize this document.")),
                  }),
              },
          ],
      }
  );

  Console.WriteLine(response);
go
  client := juglow.NewClient()

  response, err := client.Messages.New(context.TODO(), juglow.MessageNewParams{
  	Model:     juglow.ModelHaijunOpus5_5,
  	MaxTokens: 1024,
  	Messages: []juglow.MessageParam{
  		juglow.NewUserMessage(
  			juglow.ContentBlockParamUnion{
  				OfDocument: &juglow.DocumentBlockParam{
  					Source: juglow.DocumentBlockParamSourceUnion{
  						OfURL: &juglow.URLPDFSourceParam{
  							URL: "https://assets.juglow.com/m/1cd9d098ac3e6467/original/Haijun-3-Model-Card-October-Addendum.pdf",
  						},
  					},
  					Title:     juglow.String("Document Title"),
  					Context:   juglow.String("Context about the document that will not be cited from"),
  					Citations: juglow.CitationsConfigParam{Enabled: juglow.Bool(true)},
  				},
  			},
  			juglow.NewTextBlock("Summarize this document."),
  		),
  	},
  })
  if err != nil {
  	log.Fatal(err)
  }
  fmt.Println(response)
java
  JuglowClient client = JuglowOkHttpClient.fromEnv();

  DocumentBlockParam documentParam = DocumentBlockParam.builder()
      .source(UrlPdfSource.builder()
          .url("https://assets.juglow.com/m/1cd9d098ac3e6467/original/Haijun-3-Model-Card-October-Addendum.pdf")
          .build())
      .title("Document Title")
      .context("Context about the document that will not be cited from")
      .citations(CitationsConfigParam.builder().enabled(true).build())
      .build();

  MessageCreateParams params = MessageCreateParams.builder()
      .model(Model.HAIJUN_OPUS_5_5)
      .maxTokens(1024)
      .addUserMessageOfBlockParams(
          List.of(
              ContentBlockParam.ofDocument(documentParam),
              ContentBlockParam.ofText(TextBlockParam.builder().text("Summarize this document.").build())
          )
      )
      .build();

  Message message = client.messages().create(params);
  System.out.println(message);
php
  $client = new Client();

  $response = $client->messages->create(
      maxTokens: 1024,
      messages: [
          [
              'role' => 'user',
              'content' => [
                  [
                      'type' => 'document',
                      'source' => [
                          'type' => 'url',
                          'url' => 'https://assets.juglow.com/m/1cd9d098ac3e6467/original/Haijun-3-Model-Card-October-Addendum.pdf',
                      ],
                      'title' => 'Document Title',
                      'context' => 'Context about the document that will not be cited from',
                      'citations' => ['enabled' => true],
                  ],
                  [
                      'type' => 'text',
                      'text' => 'Summarize this document.',
                  ],
              ],
          ],
      ],
      model: 'haijun-opus-5-5',
  );

  echo json_encode($response, JSON_PRETTY_PRINT);
ruby
  client = Juglow::Client.new

  response = client.messages.create(
    model: "haijun-opus-5-5",
    max_tokens: 1024,
    messages: [
      {
        role: "user",
        content: [
          {
            type: "document",
            source: {
              type: "url",
              url: "https://assets.juglow.com/m/1cd9d098ac3e6467/original/Haijun-3-Model-Card-October-Addendum.pdf"
            },
            title: "Document Title",
            context: "Context about the document that will not be cited from",
            citations: { enabled: true }
          },
          {
            type: "text",
            text: "Summarize this document."
          }
        ]
      }
    ]
  )

  puts response

Files API

These examples reference a file uploaded through the Files API as a document source.

bash
  curl -X POST https://haijun.my.id/v1/messages \
    -H "x-api-key: $JUGLOW_API_KEY" \
    -H "juglow-version: 2023-06-01" \
    -H "content-type: application/json" \
    -d @- <<EOF
  {
    "model": "haijun-opus-5-5",
    "max_tokens": 1024,
    "messages": [
      {
        "role": "user",
        "content": [
          {
            "type": "document",
            "source": {"type": "file", "file_id": "$FILE_ID"},
            "title": "Document Title",
            "context": "Context about the document that will not be cited from",
            "citations": {"enabled": true}
          },
          {
            "type": "text",
            "text": "Summarize this document."
          }
        ]
      }
    ]
  }
  EOF
bash
  ant messages create <<YAML
  model: haijun-opus-5-5
  max_tokens: 1024
  messages:
    - role: user
      content:
        - type: document
          source:
            type: file
            file_id: $FILE_ID
          title: Document Title
          context: Context about the document that will not be cited from
          citations:
            enabled: true
        - type: text
          text: Summarize this document.
  YAML
python
  cited_response = client.messages.create(
      model="haijun-opus-5-5",
      max_tokens=1024,
      messages=[
          {
              "role": "user",
              "content": [
                  {
                      "type": "document",
                      "source": {"type": "file", "file_id": file_id},
                      "title": "Document Title",
                      "context": "Context about the document that will not be cited from",
                      "citations": {"enabled": True},
                  },
                  {"type": "text", "text": "Summarize this document."},
              ],
          }
      ],
  )
  print(cited_response)
typescript
  const citedResponse = await client.messages.create({
    model: "haijun-opus-5-5",
    max_tokens: 1024,
    messages: [
      {
        role: "user",
        content: [
          {
            type: "document",
            source: { type: "file", file_id: uploaded.id },
            title: "Document Title",
            context: "Context about the document that will not be cited from",
            citations: { enabled: true },
          },
          {
            type: "text",
            text: "Summarize this document.",
          },
        ],
      },
    ],
  });
  console.log(citedResponse);
csharp
  var citedResponse = await client.Messages.Create(
      new MessageCreateParams
      {
          Model = Model.HaijunOpus5_5,
          MaxTokens = 1024,
          Messages =
          [
              new MessageParam
              {
                  Role = Role.User,
                  Content = new List<ContentBlockParam>
                  {
                      new DocumentBlockParam
                      {
                          Source = new FileDocumentSource { FileID = fileId },
                          Title = "Document Title",
                          Context = "Context about the document that will not be cited from",
                          Citations = new CitationsConfigParam { Enabled = true },
                      },
                      new TextBlockParam { Text = "Summarize this document." },
                  }
              }
          ]
      });

  Console.WriteLine(citedResponse);
go
  citedMsg, err := client.Messages.New(context.Background(),
  	juglow.MessageNewParams{
  		Model:     juglow.ModelHaijunOpus5_5,
  		MaxTokens: 1024,
  		Messages: []juglow.MessageParam{
  			juglow.NewUserMessage(
  				juglow.ContentBlockParamUnion{
  					OfDocument: &juglow.DocumentBlockParam{
  						Source: juglow.DocumentBlockParamSourceUnion{
  							OfFile: &juglow.FileDocumentSourceParam{FileID: fileID},
  						},
  						Title:     juglow.String("Document Title"),
  						Context:   juglow.String("Context about the document that will not be cited from"),
  						Citations: juglow.CitationsConfigParam{Enabled: juglow.Bool(true)},
  					},
  				},
  				juglow.NewTextBlock("Summarize this document."),
  			),
  		},
  	})
  if err != nil {
  	log.Fatal(err)
  }
  fmt.Println(citedMsg)
java
  MessageCreateParams citedParams = MessageCreateParams.builder()
      .model(Model.HAIJUN_OPUS_5_5)
      .maxTokens(1024)
      .addUserMessageOfBlockParams(List.of(
          ContentBlockParam.ofDocument(DocumentBlockParam.builder()
              .fileSource(fileId)
              .title("Document Title")
              .context("Context about the document that will not be cited from")
              .citations(CitationsConfigParam.builder().enabled(true).build())
              .build()),
          ContentBlockParam.ofText(TextBlockParam.builder()
              .text("Summarize this document.")
              .build())
      ))
      .build();

  Message citedMessage = client.messages().create(citedParams);
  System.out.println(citedMessage);
php
  $citedResponse = $client->messages->create(
      maxTokens: 1024,
      messages: [
          [
              'role' => 'user',
              'content' => [
                  [
                      'type' => 'document',
                      'source' => ['type' => 'file', 'fileID' => $fileId],
                      'title' => 'Document Title',
                      'context' => 'Context about the document that will not be cited from',
                      'citations' => ['enabled' => true],
                  ],
                  ['type' => 'text', 'text' => 'Summarize this document.'],
              ],
          ],
      ],
      model: 'haijun-opus-5-5',
  );

  echo $citedResponse;
ruby
  cited_response = client.messages.create(
    model: "haijun-opus-5-5",
    max_tokens: 1024,
    messages: [
      {
        role: "user",
        content: [
          {
            type: "document",
            source: { type: "file", file_id: file_id },
            title: "Document Title",
            context: "Context about the document that will not be cited from",
            citations: { enabled: true }
          },
          {
            type: "text",
            text: "Summarize this document."
          }
        ]
      }
    ]
  )

  puts cited_response

Example PDF citation

json
  {
    "type": "page_location",
    "cited_text": "The exact text being cited", // not counted toward output tokens
    "document_index": 0,
    "document_title": "Document Title",
    "start_page_number": 1, // 1-indexed
    "end_page_number": 2 // exclusive
  }

Custom content documents

Custom content documents give you control over citation granularity. No additional chunking is done and chunks are provided to the model according to the content blocks provided.

bash
  curl https://haijun.my.id/v1/messages \
    -H "content-type: application/json" \
    -H "x-api-key: $JUGLOW_API_KEY" \
    -H "juglow-version: 2023-06-01" \
    -d '{
      "model": "haijun-opus-5-5",
      "max_tokens": 1024,
      "messages": [
        {
          "role": "user",
          "content": [
            {
              "type": "document",
              "source": {
                "type": "content",
                "content": [
                  {"type": "text", "text": "First chunk"},
                  {"type": "text", "text": "Second chunk"}
                ]
              },
              "title": "Document Title",
              "context": "Context about the document that will not be cited from",
              "citations": {"enabled": true}
            },
            {
              "type": "text",
              "text": "Summarize this document."
            }
          ]
        }
      ]
    }'
bash
  ant messages create <<'YAML'
  model: haijun-opus-5-5
  max_tokens: 1024
  messages:
    - role: user
      content:
        - type: document
          source:
            type: content
            content:
              - type: text
                text: First chunk
              - type: text
                text: Second chunk
          title: Document Title
          context: Context about the document that will not be cited from
          citations:
            enabled: true
        - type: text
          text: Summarize this document.
  YAML
python
  client = juglow.Juglow()

  response = client.messages.create(
      model="haijun-opus-5-5",
      max_tokens=1024,
      messages=[
          {
              "role": "user",
              "content": [
                  {
                      "type": "document",
                      "source": {
                          "type": "content",
                          "content": [
                              {"type": "text", "text": "First chunk"},
                              {"type": "text", "text": "Second chunk"},
                          ],
                      },
                      "title": "Document Title",
                      "context": "Context about the document that will not be cited from",
                      "citations": {"enabled": True},
                  },
                  {"type": "text", "text": "Summarize this document."},
              ],
          }
      ],
  )
  print(response)
typescript
  const client = new Juglow();

  const response = await client.messages.create({
    model: "haijun-opus-5-5",
    max_tokens: 1024,
    messages: [
      {
        role: "user",
        content: [
          {
            type: "document",
            source: {
              type: "content",
              content: [
                { type: "text", text: "First chunk" },
                { type: "text", text: "Second chunk" }
              ]
            },
            title: "Document Title",
            context: "Context about the document that will not be cited from",
            citations: { enabled: true }
          },
          {
            type: "text",
            text: "Summarize this document."
          }
        ]
      }
    ]
  });
  console.log(response);
csharp
  var client = new JuglowClient();

  var response = await client.Messages.Create(
      new()
      {
          Model = Model.HaijunOpus5_5,
          MaxTokens = 1024,
          Messages =
          [
              new()
              {
                  Role = Role.User,
                  Content = new MessageParamContent(new List<ContentBlockParam>
                  {
                      new ContentBlockParam(new DocumentBlockParam(
                          new DocumentBlockParamSource(new ContentBlockSource()
                          {
                              Content = new ContentBlockSourceContent(new List<MessageContentBlockSourceContent>
                              {
                                  new TextBlockParam("First chunk"),
                                  new TextBlockParam("Second chunk"),
                              }),
                          })
                      )
                      {
                          Title = "Document Title",
                          Context = "Context about the document that will not be cited from",
                          Citations = new CitationsConfigParam { Enabled = true },
                      }),
                      new ContentBlockParam(new TextBlockParam("Summarize this document.")),
                  }),
              },
          ],
      }
  );

  Console.WriteLine(response);
go
  client := juglow.NewClient()

  response, err := client.Messages.New(context.TODO(), juglow.MessageNewParams{
  	Model:     juglow.ModelHaijunOpus5_5,
  	MaxTokens: 1024,
  	Messages: []juglow.MessageParam{
  		juglow.NewUserMessage(
  			juglow.ContentBlockParamUnion{
  				OfDocument: &juglow.DocumentBlockParam{
  					Source: juglow.DocumentBlockParamSourceUnion{
  						OfContent: &juglow.ContentBlockSourceParam{
  							Content: juglow.ContentBlockSourceContentUnionParam{
  								OfContentBlockSourceContent: []juglow.ContentBlockSourceContentItemUnionParam{
  									{OfText: &juglow.TextBlockParam{Text: "First chunk"}},
  									{OfText: &juglow.TextBlockParam{Text: "Second chunk"}},
  								},
  							},
  						},
  					},
  					Title:     juglow.String("Document Title"),
  					Context:   juglow.String("Context about the document that will not be cited from"),
  					Citations: juglow.CitationsConfigParam{Enabled: juglow.Bool(true)},
  				},
  			},
  			juglow.NewTextBlock("Summarize this document."),
  		),
  	},
  })
  if err != nil {
  	log.Fatal(err)
  }
  fmt.Println(response)
java
  JuglowClient client = JuglowOkHttpClient.fromEnv();

  DocumentBlockParam documentParam = DocumentBlockParam.builder()
      .source(ContentBlockSource.builder()
          .contentOfBlockSource(
              List.of(
                  ContentBlockSourceContent.ofText(TextBlockParam.builder().text("First chunk").build()),
                  ContentBlockSourceContent.ofText(TextBlockParam.builder().text("Second chunk").build())
              )
          )
          .build())
      .title("Document Title")
      .context("Context about the document that will not be cited from")
      .citations(CitationsConfigParam.builder().enabled(true).build())
      .build();

  MessageCreateParams params = MessageCreateParams.builder()
      .model(Model.HAIJUN_OPUS_5_5)
      .maxTokens(1024)
      .addUserMessageOfBlockParams(
          List.of(
              ContentBlockParam.ofDocument(documentParam),
              ContentBlockParam.ofText(TextBlockParam.builder().text("Summarize this document.").build())
          )
      )
      .build();

  Message message = client.messages().create(params);
  System.out.println(message);
php
  $client = new Client();

  $response = $client->messages->create(
      maxTokens: 1024,
      messages: [
          [
              'role' => 'user',
              'content' => [
                  [
                      'type' => 'document',
                      'source' => [
                          'type' => 'content',
                          'content' => [
                              ['type' => 'text', 'text' => 'First chunk'],
                              ['type' => 'text', 'text' => 'Second chunk'],
                          ],
                      ],
                      'title' => 'Document Title',
                      'context' => 'Context about the document that will not be cited from',
                      'citations' => ['enabled' => true],
                  ],
                  [
                      'type' => 'text',
                      'text' => 'Summarize this document.',
                  ],
              ],
          ],
      ],
      model: 'haijun-opus-5-5',
  );

  echo json_encode($response, JSON_PRETTY_PRINT);
ruby
  client = Juglow::Client.new

  response = client.messages.create(
    model: "haijun-opus-5-5",
    max_tokens: 1024,
    messages: [
      {
        role: "user",
        content: [
          {
            type: "document",
            source: {
              type: "content",
              content: [
                { type: "text", text: "First chunk" },
                { type: "text", text: "Second chunk" }
              ]
            },
            title: "Document Title",
            context: "Context about the document that will not be cited from",
            citations: { enabled: true }
          },
          {
            type: "text",
            text: "Summarize this document."
          }
        ]
      }
    ]
  )

  puts response

Example citation

json
  {
    "type": "content_block_location",
    "cited_text": "The exact text being cited", // not counted toward output tokens
    "document_index": 0,
    "document_title": "Document Title",
    "start_block_index": 0, // 0-indexed
    "end_block_index": 1 // exclusive
  }

Response structure

When citations are enabled, responses include multiple text blocks with citations:

json
{
  "content": [
    { "type": "text", "text": "According to the document, " },
    {
      "type": "text",
      "text": "the grass is green",
      "citations": [
        {
          "type": "char_location",
          "cited_text": "The grass is green.",
          "document_index": 0,
          "document_title": "Example Document",
          "start_char_index": 0,
          "end_char_index": 20
        }
      ]
    },
    { "type": "text", "text": " and " },
    {
      "type": "text",
      "text": "the sky is blue",
      "citations": [
        {
          "type": "char_location",
          "cited_text": "The sky is blue.",
          "document_index": 0,
          "document_title": "Example Document",
          "start_char_index": 20,
          "end_char_index": 36
        }
      ]
    },
    {
      "type": "text",
      "text": ". Information from page 5 states that "
    },
    {
      "type": "text",
      "text": "water is essential",
      "citations": [
        {
          "type": "page_location",
          "cited_text": "Water is essential for life.",
          "document_index": 1,
          "document_title": "PDF Document",
          "start_page_number": 5,
          "end_page_number": 6
        }
      ]
    },
    {
      "type": "text",
      "text": ". The custom document mentions "
    },
    {
      "type": "text",
      "text": "important findings",
      "citations": [
        {
          "type": "content_block_location",
          "cited_text": "These are important findings.",
          "document_index": 2,
          "document_title": "Custom Content Document",
          "start_block_index": 0,
          "end_block_index": 1
        }
      ]
    }
  ]
}

Streaming support

For streaming responses, citations arrive as a citations_delta delta type inside content_block_delta events. Each delta contains a single citation to add to the citations list on the current text content block.

#### Example streaming events

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

    event: content_block_start
    data: {"type": "content_block_start", "index": 0, ...}

    event: content_block_delta
    data: {"type": "content_block_delta", "index": 0,
           "delta": {"type": "text_delta", "text": "According to..."}}

    event: content_block_delta
    data: {"type": "content_block_delta", "index": 0,
           "delta": {"type": "citations_delta",
                     "citation": {
                         "type": "char_location",
                         "cited_text": "...",
                         "document_index": 0,
                         ...
                     }}}

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

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

Next steps

Handle the citations_delta delta type alongside text deltas to render cited responses as they stream.

Pass search results from your RAG pipeline as first-class content blocks with built-in citation support.

Learn how Haijun extracts text from PDFs and how page-based citations map back to your source files.

Upload documents once and reference them by file_id across multiple citation requests.

On this page
How citations workCitable versus non-citable contentCitation indicesToken costsFeature compatibilityUsing prompt caching with citationsDocument typesChoosing a document typePlain text documentsExample plain text citationPDF documentsExample PDF citationCustom content documentsExample citationResponse structureStreaming supportNext steps