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# GBNF Guide
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GBNF (GGML BNF) is a format for defining [formal grammars](https://en.wikipedia.org/wiki/Formal_grammar) to constrain model outputs in `llama.cpp`. For example, you can use it to force the model to generate valid JSON, or speak only in emojis. GBNF grammars are supported in various ways in `tools/cli`, `tools/completion` and `tools/server`.
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## Background
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[Backus-Naur Form (BNF)](https://en.wikipedia.org/wiki/Backus%E2%80%93Naur_form) is a notation for describing the syntax of formal languages like programming languages, file formats, and protocols. GBNF is an extension of BNF that primarily adds a few modern regex-like features.
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## Basics
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In GBNF, we define *production rules* that specify how a *non-terminal* (rule name) can be replaced with sequences of *terminals* (characters, specifically Unicode [code points](https://en.wikipedia.org/wiki/Code_point)) and other non-terminals. The basic format of a production rule is `nonterminal ::= sequence...`.
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## Example
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Before going deeper, let's look at some of the features demonstrated in `grammars/chess.gbnf`, a small chess notation grammar:
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```
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# `root` specifies the pattern for the overall output
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root ::= (
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# it must start with the characters "1. " followed by a sequence
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# of characters that match the `move` rule, followed by a space, followed
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# by another move, and then a newline
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"1. " move " " move "\n"
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# it's followed by one or more subsequent moves, numbered with one or two digits
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([1-9] [0-9]? ". " move " " move "\n")+
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)
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# `move` is an abstract representation, which can be a pawn, nonpawn, or castle.
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# The `[+#]?` denotes the possibility of checking or mate signs after moves
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move ::= (pawn | nonpawn | castle) [+#]?
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pawn ::= ...
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nonpawn ::= ...
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castle ::= ...
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```
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## Non-Terminals and Terminals
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Non-terminal symbols (rule names) stand for a pattern of terminals and other non-terminals. They are required to be a dashed lowercase word, like `move`, `castle`, or `check-mate`.
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Terminals are actual characters ([code points](https://en.wikipedia.org/wiki/Code_point)). They can be specified as a sequence like `"1"` or `"O-O"` or as ranges like `[1-9]` or `[NBKQR]`.
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## Characters and character ranges
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Terminals support the full range of Unicode. Unicode characters can be specified directly in the grammar, for example `hiragana ::= [ぁ-ゟ]`, or with escapes: 8-bit (`\xXX`), 16-bit (`\uXXXX`) or 32-bit (`\UXXXXXXXX`).
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Character ranges can be negated with `^`:
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```
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single-line ::= [^\n]+ "\n"
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```
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## Sequences and Alternatives
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The order of symbols in a sequence matters. For example, in `"1. " move " " move "\n"`, the `"1. "` must come before the first `move`, etc.
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Alternatives, denoted by `|`, give different sequences that are acceptable. For example, in `move ::= pawn | nonpawn | castle`, `move` can be a `pawn` move, a `nonpawn` move, or a `castle`.
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Parentheses `()` can be used to group sequences, which allows for embedding alternatives in a larger rule or applying repetition and optional symbols (below) to a sequence.
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## Repetition and Optional Symbols
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- `*` after a symbol or sequence means that it can be repeated zero or more times (equivalent to `{0,}`).
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- `+` denotes that the symbol or sequence should appear one or more times (equivalent to `{1,}`).
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- `?` makes the preceding symbol or sequence optional (equivalent to `{0,1}`).
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- `{m}` repeats the precedent symbol or sequence exactly `m` times
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- `{m,}` repeats the precedent symbol or sequence at least `m` times
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- `{m,n}` repeats the precedent symbol or sequence at between `m` and `n` times (included)
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- `{0,n}` repeats the precedent symbol or sequence at most `n` times (included)
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## Tokens
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Tokens allow grammars to match specific tokenizer tokens rather than character sequences. This is useful for constraining outputs based on special tokens (like `<think>` or `</think>`).
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Tokens can be specified in two ways:
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1. **Token ID**: Use angle brackets with the token ID in square brackets: `<[token-id]>`. For example, `<[1000]>` matches the token with ID 1000.
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2. **Token string**: Use angle brackets with the token text directly: `<token>`. For example, `<think>` will match the token whose text is exactly `<think>`. This only works if the string tokenizes to exactly one token in the vocabulary, otherwise the grammar will fail to parse.
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You can negate token matches using the `!` prefix: `!<[1000]>` or `!<think>` matches any token *except* the specified one.
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```
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# Match a thinking block: <think>...</think>
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# Using token strings (requires these to be single tokens in the vocab)
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root ::= <think> thinking </think> .*
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thinking ::= !</think>*
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# Equivalent grammar using explicit token IDs
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# Assumes token 1000 = <think>, token 1001 = </think>
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root ::= <[1000]> thinking <[1001]> .*
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thinking ::= !<[1001]>*
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```
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## Comments and newlines
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Comments can be specified with `#`:
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```
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# defines optional whitespace
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ws ::= [ \t\n]+
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```
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Newlines are allowed between rules and between symbols or sequences nested inside parentheses. Additionally, a newline after an alternate marker `|` will continue the current rule, even outside of parentheses.
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## The root rule
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In a full grammar, the `root` rule always defines the starting point of the grammar. In other words, it specifies what the entire output must match.
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```
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# a grammar for lists
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root ::= ("- " item)+
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item ::= [^\n]+ "\n"
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```
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## Next steps
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This guide provides a brief overview. Check out the GBNF files in this directory (`grammars/`) for examples of full grammars. You can try them out with:
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```
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./llama-cli -m <model> --grammar-file grammars/some-grammar.gbnf -p 'Some prompt'
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```
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`llama.cpp` can also convert JSON schemas to grammars either ahead of time or at each request, see below.
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## Troubleshooting
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Grammars currently have performance gotchas (see https://github.com/ggml-org/llama.cpp/issues/4218).
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### Efficient optional repetitions
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A common pattern is to allow repetitions of a pattern `x` up to N times.
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While semantically correct, the syntax `x? x? x?.... x?` (with N repetitions) may result in extremely slow sampling. Instead, you can write `x{0,N}` (or `(x (x (x ... (x)?...)?)?)?` w/ N-deep nesting in earlier llama.cpp versions).
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## Using GBNF grammars
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You can use GBNF grammars:
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- In [llama-server](../tools/server)'s completion endpoints, passed as the `grammar` body field
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- In [llama-cli](../tools/cli) and [llama-completion](../tools/completion), passed as the `--grammar` & `--grammar-file` flags
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- With [test-gbnf-validator](../tests/test-gbnf-validator.cpp), to test them against strings.
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## JSON Schemas → GBNF
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`llama.cpp` supports converting a subset of https://json-schema.org/ to GBNF grammars:
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- In [llama-server](../tools/server):
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- For any completion endpoints, passed as the `json_schema` body field
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- For the `/chat/completions` endpoint, passed inside the `response_format` body field (e.g. `{"type", "json_object", "schema": {"items": {}}}` or `{ type: "json_schema", json_schema: {"schema": ...} }`)
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- In [llama-cli](../tools/cli) and [llama-completion](../tools/completion), passed as the `--json` / `-j` flag
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- To convert to a grammar ahead of time:
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- in CLI, with [examples/json_schema_to_grammar.py](../examples/json_schema_to_grammar.py)
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- in JavaScript with [json-schema-to-grammar.mjs](../tools/server/public_legacy/json-schema-to-grammar.mjs) (this is used by the [server](../tools/server)'s Web UI)
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Take a look at [tests](../tests/test-json-schema-to-grammar.cpp) to see which features are likely supported (you'll also find usage examples in https://github.com/ggml-org/llama.cpp/pull/5978, https://github.com/ggml-org/llama.cpp/pull/6659 & https://github.com/ggml-org/llama.cpp/pull/6555).
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```bash
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llama-cli \
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-hfr bartowski/Phi-3-medium-128k-instruct-GGUF \
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-hff Phi-3-medium-128k-instruct-Q8_0.gguf \
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-j '{
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"type": "array",
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"items": {
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"type": "object",
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"properties": {
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"name": {
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"type": "string",
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"minLength": 1,
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"maxLength": 100
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},
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"age": {
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"type": "integer",
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"minimum": 0,
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"maximum": 150
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}
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},
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"required": ["name", "age"],
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"additionalProperties": false
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},
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"minItems": 10,
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"maxItems": 100
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}' \
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-p 'Generate a {name, age}[] JSON array with famous actors of all ages.'
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```
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<details>
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<summary>Show grammar</summary>
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You can convert any schema in command-line with:
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```bash
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examples/json_schema_to_grammar.py name-age-schema.json
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```
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```
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char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
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item ::= "{" space item-name-kv "," space item-age-kv "}" space
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item-age ::= ([0-9] | ([1-8] [0-9] | [9] [0-9]) | "1" ([0-4] [0-9] | [5] "0")) space
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item-age-kv ::= "\"age\"" space ":" space item-age
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item-name ::= "\"" char{1,100} "\"" space
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item-name-kv ::= "\"name\"" space ":" space item-name
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root ::= "[" space item ("," space item){9,99} "]" space
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space ::= | " " | "\n" [ \t]{0,20}
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```
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</details>
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Here is also a list of known limitations (contributions welcome):
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- `additionalProperties` defaults to `false` (produces faster grammars + reduces hallucinations).
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- `"additionalProperties": true` may produce keys that contain unescaped newlines.
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- Unsupported features are skipped silently. It is currently advised to use the command-line Python converter (see above) to see any warnings, and to inspect the resulting grammar / test it w/ [llama-gbnf-validator](../examples/gbnf-validator/gbnf-validator.cpp).
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- Can't mix `properties` w/ `anyOf` / `oneOf` in the same type (https://github.com/ggml-org/llama.cpp/issues/7703)
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- [prefixItems](https://json-schema.org/draft/2020-12/json-schema-core#name-prefixitems) is broken (but [items](https://json-schema.org/draft/2020-12/json-schema-core#name-items) works)
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- `minimum`, `exclusiveMinimum`, `maximum`, `exclusiveMaximum`: only supported for `"type": "integer"` for now, not `number`
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- Nested `$ref`s are broken (https://github.com/ggml-org/llama.cpp/issues/8073)
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- [pattern](https://json-schema.org/draft/2020-12/json-schema-validation#name-pattern)s must start with `^` and end with `$`
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- Remote `$ref`s not supported in the C++ version (Python & JavaScript versions fetch https refs)
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- `string` [formats](https://json-schema.org/draft/2020-12/json-schema-validation#name-defined-formats) lack `uri`, `email`
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- No [`patternProperties`](https://json-schema.org/draft/2020-12/json-schema-core#name-patternproperties)
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And a non-exhaustive list of other unsupported features that are unlikely to be implemented (hard and/or too slow to support w/ stateless grammars):
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- [`uniqueItems`](https://json-schema.org/draft/2020-12/json-schema-validation#name-uniqueitems)
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- [`contains`](https://json-schema.org/draft/2020-12/json-schema-core#name-contains) / `minContains`
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- `$anchor` (cf. [dereferencing](https://json-schema.org/draft/2020-12/json-schema-core#name-dereferencing))
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- [`not`](https://json-schema.org/draft/2020-12/json-schema-core#name-not)
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- [Conditionals](https://json-schema.org/draft/2020-12/json-schema-core#name-keywords-for-applying-subsche) `if` / `then` / `else` / `dependentSchemas`
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### A word about additionalProperties
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> [!WARNING]
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> The JSON schemas spec states `object`s accept [additional properties](https://json-schema.org/understanding-json-schema/reference/object#additionalproperties) by default.
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> Since this is slow and seems prone to hallucinations, we default to no additional properties.
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> You can set `"additionalProperties": true` in the the schema of any object to explicitly allow additional properties.
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If you're using [Pydantic](https://pydantic.dev/) to generate schemas, you can enable additional properties with the `extra` config on each model class:
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```python
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# pip install pydantic
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import json
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from typing import Annotated, List
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from pydantic import BaseModel, Extra, Field
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class QAPair(BaseModel):
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class Config:
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extra = 'allow' # triggers additionalProperties: true in the JSON schema
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question: str
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concise_answer: str
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justification: str
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class Summary(BaseModel):
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class Config:
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extra = 'allow'
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key_facts: List[Annotated[str, Field(pattern='- .{5,}')]]
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question_answers: List[Annotated[List[QAPair], Field(min_items=5)]]
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print(json.dumps(Summary.model_json_schema(), indent=2))
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```
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<details>
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<summary>Show JSON schema & grammar</summary>
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```json
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{
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"$defs": {
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"QAPair": {
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"additionalProperties": true,
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"properties": {
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"question": {
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"title": "Question",
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"type": "string"
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},
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"concise_answer": {
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"title": "Concise Answer",
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"type": "string"
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},
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"justification": {
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"title": "Justification",
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"type": "string"
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}
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},
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"required": [
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"question",
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"concise_answer",
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"justification"
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],
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"title": "QAPair",
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"type": "object"
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}
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},
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"additionalProperties": true,
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"properties": {
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"key_facts": {
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"items": {
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"pattern": "^- .{5,}$",
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"type": "string"
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},
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"title": "Key Facts",
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"type": "array"
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},
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"question_answers": {
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"items": {
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"items": {
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"$ref": "#/$defs/QAPair"
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},
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"minItems": 5,
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"type": "array"
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},
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"title": "Question Answers",
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"type": "array"
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}
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},
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"required": [
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"key_facts",
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"question_answers"
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],
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"title": "Summary",
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"type": "object"
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}
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```
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```
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QAPair ::= "{" space QAPair-question-kv "," space QAPair-concise-answer-kv "," space QAPair-justification-kv ( "," space ( QAPair-additional-kv ( "," space QAPair-additional-kv )* ) )? "}" space
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QAPair-additional-k ::= ["] ( [c] ([o] ([n] ([c] ([i] ([s] ([e] ([_] ([a] ([n] ([s] ([w] ([e] ([r] char+ | [^"r] char*) | [^"e] char*) | [^"w] char*) | [^"s] char*) | [^"n] char*) | [^"a] char*) | [^"_] char*) | [^"e] char*) | [^"s] char*) | [^"i] char*) | [^"c] char*) | [^"n] char*) | [^"o] char*) | [j] ([u] ([s] ([t] ([i] ([f] ([i] ([c] ([a] ([t] ([i] ([o] ([n] char+ | [^"n] char*) | [^"o] char*) | [^"i] char*) | [^"t] char*) | [^"a] char*) | [^"c] char*) | [^"i] char*) | [^"f] char*) | [^"i] char*) | [^"t] char*) | [^"s] char*) | [^"u] char*) | [q] ([u] ([e] ([s] ([t] ([i] ([o] ([n] char+ | [^"n] char*) | [^"o] char*) | [^"i] char*) | [^"t] char*) | [^"s] char*) | [^"e] char*) | [^"u] char*) | [^"cjq] char* )? ["] space
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QAPair-additional-kv ::= QAPair-additional-k ":" space value
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QAPair-concise-answer-kv ::= "\"concise_answer\"" space ":" space string
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QAPair-justification-kv ::= "\"justification\"" space ":" space string
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QAPair-question-kv ::= "\"question\"" space ":" space string
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additional-k ::= ["] ( [k] ([e] ([y] ([_] ([f] ([a] ([c] ([t] ([s] char+ | [^"s] char*) | [^"t] char*) | [^"c] char*) | [^"a] char*) | [^"f] char*) | [^"_] char*) | [^"y] char*) | [^"e] char*) | [q] ([u] ([e] ([s] ([t] ([i] ([o] ([n] ([_] ([a] ([n] ([s] ([w] ([e] ([r] ([s] char+ | [^"s] char*) | [^"r] char*) | [^"e] char*) | [^"w] char*) | [^"s] char*) | [^"n] char*) | [^"a] char*) | [^"_] char*) | [^"n] char*) | [^"o] char*) | [^"i] char*) | [^"t] char*) | [^"s] char*) | [^"e] char*) | [^"u] char*) | [^"kq] char* )? ["] space
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additional-kv ::= additional-k ":" space value
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array ::= "[" space ( value ("," space value)* )? "]" space
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boolean ::= ("true" | "false") space
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char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
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decimal-part ::= [0-9]{1,16}
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dot ::= [^\x0A\x0D]
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integral-part ::= [0] | [1-9] [0-9]{0,15}
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key-facts ::= "[" space (key-facts-item ("," space key-facts-item)*)? "]" space
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key-facts-item ::= "\"" "- " key-facts-item-1{5,} "\"" space
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key-facts-item-1 ::= dot
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key-facts-kv ::= "\"key_facts\"" space ":" space key-facts
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null ::= "null" space
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number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
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object ::= "{" space ( string ":" space value ("," space string ":" space value)* )? "}" space
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question-answers ::= "[" space (question-answers-item ("," space question-answers-item)*)? "]" space
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question-answers-item ::= "[" space question-answers-item-item ("," space question-answers-item-item){4,} "]" space
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question-answers-item-item ::= QAPair
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question-answers-kv ::= "\"question_answers\"" space ":" space question-answers
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root ::= "{" space key-facts-kv "," space question-answers-kv ( "," space ( additional-kv ( "," space additional-kv )* ) )? "}" space
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space ::= | " " | "\n" [ \t]{0,20}
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string ::= "\"" char* "\"" space
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value ::= object | array | string | number | boolean | null
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||||
```
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</details>
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|
||||
If you're using [Zod](https://zod.dev/), you can make your objects to explicitly allow extra properties w/ `nonstrict()` / `passthrough()` (or explicitly no extra props w/ `z.object(...).strict()` or `z.strictObject(...)`) but note that [zod-to-json-schema](https://github.com/StefanTerdell/zod-to-json-schema) currently always sets `"additionalProperties": false` anyway.
|
||||
|
||||
```js
|
||||
import { z } from 'zod';
|
||||
import { zodToJsonSchema } from 'zod-to-json-schema';
|
||||
|
||||
const Foo = z.object({
|
||||
age: z.number().positive(),
|
||||
email: z.string().email(),
|
||||
}).strict();
|
||||
|
||||
console.log(zodToJsonSchema(Foo));
|
||||
```
|
||||
|
||||
<details>
|
||||
<summary>Show JSON schema & grammar</summary>
|
||||
|
||||
```json
|
||||
{
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"age": {
|
||||
"type": "number",
|
||||
"exclusiveMinimum": 0
|
||||
},
|
||||
"email": {
|
||||
"type": "string",
|
||||
"format": "email"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"age",
|
||||
"email"
|
||||
],
|
||||
"additionalProperties": false,
|
||||
"$schema": "http://json-schema.org/draft-07/schema#"
|
||||
}
|
||||
```
|
||||
|
||||
```
|
||||
age-kv ::= "\"age\"" space ":" space number
|
||||
char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
|
||||
decimal-part ::= [0-9]{1,16}
|
||||
email-kv ::= "\"email\"" space ":" space string
|
||||
integral-part ::= [0] | [1-9] [0-9]{0,15}
|
||||
number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
|
||||
root ::= "{" space age-kv "," space email-kv "}" space
|
||||
space ::= | " " | "\n" [ \t]{0,20}
|
||||
string ::= "\"" char* "\"" space
|
||||
```
|
||||
|
||||
</details>
|
||||
Reference in New Issue
Block a user