PromptCapsule
Pass the prompt, not the payload.
Lossless prompt capsules with fail-closed integrity for agent-to-agent handoff.
As simple as a string. pack(text) turns a prompt into a capsule string you can store, log, or hand to another agent. unpack(capsule) gives back the exact original, or raises. Never silently corrupted text.
pip install promptcapsule # core: zero dependencies
pip install "promptcapsule[vault]" # adds S3 and GitHub Gist backends
Python 3.8–3.13 · MIT · 180+ tests on Linux, macOS and Windows · Frozen format spec · Changelog
Quick start
from promptcapsule import pack, unpack
capsule = pack("You are a helpful Python coding assistant.")
# 'cap_i_45b72418_c-o81FI7k^N>xZy$Vkm8NGr`z2&gQ{$j?(q&QHnAOIJuNF3v12Nz5zJ0{}*34}|'
prompt = unpack(capsule) # the exact original, or an exception
Nothing to configure. Prompts over 500 bytes are stored in a local SQLite vault, ~/.promptcapsule/vault.db, created on first use with owner-only permissions:
long_prompt = "You are a senior software architect reviewing a pull request. " * 40
capsule = pack(long_prompt) # 'cap_v_66152d9b_sql_JME_tuuntLjuEVRztHpH4A' (key part is random)
unpack(capsule) # works wherever that vault is available
A vault capsule is a verified reference to the stored text: the agent that unpacks it needs the same vault. To share one, point both sides at it with PROMPT_CAPSULE_VAULT=/shared/team.db, or pass vault= (a path or any backend below) to pack and unpack.
What's in a capsule
| Mode | When | Format | What travels |
|---|---|---|---|
| Inline | ≤ 500 bytes (UTF-8) | cap_i_<checksum8>_<zlib+base85> |
The whole prompt, self-contained |
| Vault | > 500 bytes | cap_v_<checksum8>_<key> |
A random key; the prompt stays in the vault |
Capsules are a packaging format, not a way to make prompts smaller: an inline capsule is usually a little longer than the prompt it carries, and the model always sees the full, unchanged text.
The format is frozen. SPEC.md defines it byte for byte, and every capsule produced since 0.1.0 will decode in every future release. CI enforces this with fixed test vectors.
Signed capsules (authenticity)
The 8-hex checksum detects corruption, but anyone can compute it. To check that a capsule was made by someone holding a shared secret key, sign it with HMAC-SHA256:
from promptcapsule import SignatureError
capsule = pack("Summarise the Q3 report", sign="shared-secret")
try:
text = unpack(capsule, verify_signature="shared-secret")
except SignatureError:
... # wrong key, tampered, or unsigned capsule: do not use
- Receivers must pass the key. When
verify_signatureis a key (orTrue), unsigned capsules — including ones with the_sig_…suffix stripped — are rejected before anything is decompressed or fetched from a vault. Without a key, unsigned capsules are accepted. sign=True/verify_signature=Trueread the key fromPROMPT_CAPSULE_HMAC_KEY. Empty keys are rejected.- The signature is a 128-bit truncated HMAC-SHA256 over the prompt text, compared in constant time.
- A valid signature proves only that the signer holds the shared key. It does not identify which key holder signed, and it does not prove when: a signed capsule can be replayed.
For metadata, use the class API: PromptCapsule().decompress(capsule, ...) returns a result with .text, .verified (checksum only) and .signed (True only when a signature was checked against the key).
When to use it
- Handing an exact prompt between agents, processes or services through a channel that should carry a short string: a queue message, a tool argument, a log line, a database column.
- You need to know the text arrived unchanged, and optionally that it came from a holder of a shared key.
- Referring to long prompts from tickets, configs or commits without pasting them in.
When not to use it
- To cut tokens or cost. PromptCapsule never shortens or rewrites what the model reads; use a prompt-optimization tool for that.
- To keep prompts secret. Capsules and vaults are not encrypted.
- When the receiver can't reach your vault. Long-prompt capsules need a vault both sides can read; otherwise send the text itself.
- For identity, access control or replay protection. Add those in your application.
- For general file archiving. Use gzip or zstd.
Command line
echo "You are a helpful assistant" | promptcapsule pack --file -
promptcapsule pack --file long_prompt.txt # long prompts use the default vault
promptcapsule unpack --file capsule.txt --vault team.db
promptcapsule verify --file capsule.txt # check without printing the prompt
promptcapsule inspect --file capsule.txt --json # mode, checksum, signed?
export PROMPT_CAPSULE_HMAC_KEY=... # or use --key-file PATH
promptcapsule pack --file prompt.txt --sign
promptcapsule unpack --file capsule.txt --require-signature
Keys are never accepted as command-line arguments, so they stay out of shell history and process listings.
Backends
| Backend | Import | Notes |
|---|---|---|
| In-memory | InMemoryBackend() |
Tests and prototypes |
| SQLite | SQLiteBackend("prompts.db") |
Local file, no dependencies; the default vault |
| GitHub Gist | GitHubGistBackend(token=...) |
Private gists; retrieval requires the gist to belong to the token's user |
| AWS S3 | S3Backend(bucket=..., region=...) |
Keys confined to the configured prefix |
All live in promptcapsule.backends. Both agents must reach the same backend. Vault keys are random (secrets.token_urlsafe), and the capsule checksum is bound to the stored content, so swapping keys between capsules fails verification.
Custom backend: subclass promptcapsule.core.VaultBackend and implement store(text, checksum) -> key, retrieve(key), and retrieve_with_checksum(key) -> (text, checksum).
Limits
| Limit | Value |
|---|---|
| Inline threshold | 500 bytes |
| Max prompt / capsule / decompressed size | 10 MiB each (blocks zip bombs) |
| Checksum in capsule | First 8 hex chars of SHA-256 |
Oversized input raises SizeLimitError.
Errors
All exceptions derive from PromptCapsuleError:
| Exception | Raised when |
|---|---|
IntegrityError |
Checksum mismatch, bad checksum prefix, vault content mismatch |
SignatureError |
Wrong key, tampered or missing signature (subclass of IntegrityError) |
FormatError |
Malformed capsule, trailing or truncated zlib data |
SizeLimitError |
Input or output over 10 MiB |
VaultError |
Vault not found or unreachable, or backend failure |
IntegrityError, FormatError and SizeLimitError also subclass ValueError.
Security model
Provides: exact reconstruction; tamper and corruption detection; optional authenticity with a shared secret key; zip-bomb protection (decoding is size-capped).
Does not provide:
- Encryption. Anyone holding an inline capsule, or with access to the vault, can read the prompt.
- Identity or access control. Protect your vault with its own ACLs (IAM, private gists, file permissions).
- Replay protection. Add your own nonce or expiry if you need it.
See TRUST.md for the full threat model.
Development
pip install -e ".[dev]"
pytest
See CONTRIBUTING.md. Report security issues privately via GitHub Security Advisories or data.pycap@gmail.com.
License
MIT — see LICENSE.
Release files for promptcapsule 0.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| promptcapsule-0.3.1.tar.gz | 39.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| promptcapsule-0.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 60.4 kB
Release files / promptcapsule-0.3.1.tar.gz
| Download URL | promptcapsule-0.3.1.tar.gz |
|---|---|
| Size | 39.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.9.6
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Release files / promptcapsule-0.3.1-py3-none-any.whl
| Download URL | promptcapsule-0.3.1-py3-none-any.whl |
|---|---|
| Size | 21.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.6
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