deepset-ai/haystack · error · TypeError

Hook registered for hook point '{hook_point}' is callable bu

Error message

Hook registered for hook point '{hook_point}' is callable but is not a Hook object. If it is a function, wrap it with the @hook decorator.

What it means

After successful YAML parsing in _parse_frontmatter, the loaded value must be a mapping (dict). This ValueError is raised when the frontmatter parses to a non-dict (e.g. a YAML list, scalar string, or null). Skill frontmatter is required to be key/value metadata, so any other YAML root type is rejected.

Source

Thrown at haystack/components/agents/agent.py:129


def _validate_hooks(hooks: dict[HookPoint, list[Hook]]) -> None:
    """
    Validate a hooks mapping: known hook points, real Hook objects, and hook-point restrictions.

    :param hooks: Mapping of hook point to the hooks registered under it.
    :raises ValueError: If a hook point is unknown, or a hook is registered under a hook point it does not support.
    :raises TypeError: If a registered hook has no callable `run(state)`.
    """
    for hook_point, hook_list in hooks.items():
        if hook_point not in VALID_HOOK_POINTS:
            raise ValueError(
                f"Invalid hook point '{hook_point}'. Valid hook points are: {', '.join(VALID_HOOK_POINTS)}."
            )
        for h in hook_list:
            if not callable(getattr(h, "run", None)):
                if callable(h):
                    raise TypeError(
                        f"Hook registered for hook point '{hook_point}' is callable but is not a Hook object. "
                        "If it is a function, wrap it with the @hook decorator."
                    )
                raise TypeError(
                    f"Hook registered for hook point '{hook_point}' must have a callable 'run(state)', "
                    f"got an object of type '{type(h).__name__}'."
                )
            # A hook may declare `allowed_hook_points` to restrict where it can run (e.g. ConfirmationHook only
            # makes sense at "before_tool"). Hooks without it can be registered under any hook point.
            allowed_points = getattr(h, "allowed_hook_points", None)
            if allowed_points is not None and hook_point not in allowed_points:
                raise ValueError(
                    f"Hook of type '{type(h).__name__}' is registered under hook point '{hook_point}' but only "
                    f"supports: {', '.join(allowed_points)}."
                )


def _consume_continue_run(state: State) -> bool:

View on GitHub (pinned to e318778c9b)

Solutions

  1. Rewrite the frontmatter between the '---' lines as key: value pairs (name, description).
  2. Check that the first '---' is on line 1 and a second '---' closes the block, so only the mapping is parsed.
  3. Test the block with yaml.safe_load and confirm it returns a dict.

Example fix

# before
---
- name: my-skill
- description: does stuff
---
# after
---
name: my-skill
description: does stuff
---
Defensive patterns

Strategy: validation

Validate before calling

import yaml
from pathlib import Path

def frontmatter_is_mapping(skill_file: Path) -> bool:
    lines = skill_file.read_text(encoding="utf-8").splitlines()
    closing = lines.index("---", 1)
    block = "\n".join(lines[1:closing])
    loaded = yaml.safe_load(block) or {}
    return isinstance(loaded, dict) and "description" in loaded

Type guard

def is_frontmatter_mapping(loaded) -> bool:
    return isinstance(loaded, dict)

Try / catch

try:
    store.load_skill(name)
except ValueError as e:
    if "must be a YAML mapping" in str(e):
        logger.error("Frontmatter of %s must be key: value pairs", name)
    raise

Prevention

When it happens

Trigger: Frontmatter block that is a YAML sequence (lines starting with '-'), a bare scalar (just a word or number), or content that collapses to None/non-dict, e.g. malformed delimiters causing the wrong region to be parsed.

Common situations: Deleting all keys but leaving '---' lines; accidental indentation turning keys into a nested list; a stray '-' bullet inside frontmatter; delimiters mis-detected so body text is parsed as frontmatter.

Related errors


AI-assisted analysis of deepset-ai/haystack@e318778c9b (2026-08-30). Data as JSON: /api/errors/cef3027cc2398b94. Report an issue: GitHub.