io.github.razikallayi/razi-dev

Tools

• calculate_percentage

  Run one of four percentage calculations on two numbers. Returns JSON { operation, result } (plus unit: 'percent' for the 'change' operation). The meaning of value1 and value2 depends on the operation, so read their descriptions before calling. Exact arithmetic, no model involved, no rounding applied. Ratios and general expressions are not supported.

  shallow
• compare_text

  Compare two blocks of text line by line. Returns JSON { identical, linesCompared, changeCount, changes[] }, where each change carries a 1-based line number, a change of 'added' | 'removed' | 'modified', and the before/after text. Lines are matched by POSITION, not by content: this is not an LCS diff, so inserting one line near the top reports every following line as modified. There is no character-level or word-level detail, and no unified-diff patch output. Whitespace and case are significant; \r\n and \n line endings are treated the same. Runs locally and costs nothing.

  shallow
• decode_base64

  Decode a Base64 string back to UTF-8 text. Returns JSON { decoded }. Input is verified by re-encoding, so anything that is not genuine Base64 is rejected with an error instead of returning plausible garbage; binary payloads that are not valid UTF-8 will also fail. It handles Base64 and nothing else: a string of %20-style percent escapes is not Base64 and will be rejected rather than unescaped. For a JWT use decode_jwt, which splits the three segments and handles their base64url padding for you.

  shallow
• decode_jwt

  Decode a JWT's header and payload for inspection. Returns JSON { header, payload, signatureVerified, note, expiresAt, isExpired } — structured objects, not a rendered table. The signature is NEVER verified: that needs the issuer's key, which this service does not have, so signatureVerified is always false and the claims must be treated as untrusted, attacker-controllable input. Expiry is computed from the `exp` claim and is null when the token has none. Use decode_base64 for a bare Base64 string; this tool additionally splits the three segments and handles base64url padding.

  shallow
• draft_email

  Write a business email body from a short brief. Returns JSON { email, cached } containing the body only — no subject line, no recipient, and nothing is sent anywhere. Choose this over generate_text when the output should be a whole email; use humanize_text to rewrite an email you already drafted. Paid model call. Anonymous callers get 3 per hour per IP and are then refused with 401; signed-in callers get 15 per minute per IP. Length is capped at roughly 400 tokens. Identical briefs may return a cached draft.

  shallow
• encode_base64

  Encode UTF-8 text as standard Base64 (padded, A-Z a-z 0-9 + /), for embedding binary-unsafe content in JSON, data URIs, HTTP headers or Basic auth. Returns JSON { encoded }. The output uses the standard alphabet, so it is NOT URL-safe: '+' and '/' must still be percent-escaped before they go in a query string or path segment, and this tool does not do that. It is an encoding, not encryption — anyone can reverse it with decode_base64. Runs locally, no size limit beyond the request body.

  shallow
• format_json

  Validate and re-print a JSON string. Returns JSON { valid, formatted, minified } — the indented form and the whitespace-free form as plain strings, with no syntax highlighting or colour. Invalid JSON is rejected with the parser's own error message rather than returned as valid:false, so a successful call is proof the input parses. Round-tripping through the parser normalises the document: key order is kept but comments, trailing commas and duplicate keys are lost, and large integers lose precision.

  shallow
• generate_blog_outline

  Produce a markdown heading structure for a blog post — title, introduction, numbered sections with subsections, conclusion and an FAQ block. Returns JSON { outline } holding the markdown. It writes the skeleton only, not the article: use generate_text for body prose and humanize_text to rework text that already exists. Paid model call, capped at roughly 1,000 tokens, so a large section count yields thinner sections. 10 calls per minute per IP; identical requests may return a cached outline.

  shallow
• generate_fake_data

  Produce placeholder person records for testing and fixtures. Returns JSON { type, count, records } where records is an array of strings, or of objects when type is 'user'. The values are drawn from a fixed word list by index, so they are DETERMINISTIC: the same arguments always return the same records, and asking twice does not give you fresh data. Emails all use example.com and phone numbers all use the +1-555 reserved range. It fabricates people only — for lorem-style prose use generate_text.

  shallow
• generate_sql

  Translate a natural-language request into a SQL statement. Returns JSON { sql } containing the query text and nothing else — no validation report, no complexity score, and the query is never executed or checked against a real database. It has no knowledge of your schema beyond what the request states, so table and column names are guesses unless you supply them. Review before running, especially anything that writes. Paid model call. Anonymous callers get 3 per hour per IP and are then refused with 401; signed-in callers get 15 per minute per IP. Capped at roughly 500 tokens. Answers are cached, so the same request returns the same query.

  shallow
• generate_text

  Generate filler prose — lorem ipsum, random copy or sentences — for mockups and placeholder content. Returns JSON { text, provider, cached } with the blocks separated by newlines. A language model writes it, so it is a paid call and the output is approximate: type, length and count are phrased into the prompt rather than enforced, and the result will not match a requested character count exactly. For placeholder people (names, emails, addresses) use generate_fake_data, which is exact, free and deterministic. For a real email use draft_email, and to rework existing text use humanize_text. 15 calls per minute per IP; capped at roughly 1,500 tokens; identical requests may return a cached result.

  shallow
• humanize_text

  Rewrite text you already have so it reads less like model output — fewer stock phrases, more contractions, varied sentence rhythm. Returns JSON { humanizedText }. Meaning is meant to be preserved but wording is not: never use it on text that must stay verbatim, such as quotes, legal copy or code. Use generate_text to produce new prose from a prompt and draft_email for a whole email; this one only transforms text it is given. Requires a signed-in razi.pro account — an anonymous call is rejected with 401. Paid model call; input capped at 10,000 characters and output at roughly 2,000 tokens, so long passages come back truncated. 30 calls per hour per account, and identical inputs may return a cached result.

  shallow

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