[codex] Add Moonshot JSON schema response format

[TuringTzu]

Summary

• add json_schema as a supported Moonshot response format option
• expose the json_schema parameter on built-in Moonshot/Kimi LLM model schemas
• convert Dify's response_format=json_schema parameter into Moonshot's structured output request shape
• bump the Moonshot plugin manifest to 0.1.8

Why

Moonshot/Kimi's current API supports structured output through response_format: {"type": "json_schema"}, but the Dify Moonshot plugin only exposed text and json_object. This lets workflow LLM nodes use Dify's JSON Schema structured output mode with Moonshot models.

Validation

• uv run ruff check models/llm/llm.py
• python -m compileall models/llm/llm.py
• parsed models/moonshot/manifest.yaml and all models/moonshot/models/llm/*.yaml with Ruby YAML
• local monkeypatch assertion for response_format=json_schema conversion into Moonshot API payload shape

[gemini-code-assist]

Code Review

This pull request adds support for the json_schema response format across several Moonshot LLM models by updating their configuration YAML files and modifying the invocation logic in llm.py to parse and format the schema. Feedback was provided to make the JSON schema parsing in llm.py more robust by checking if the schema is already a dictionary before attempting to load it as a string, which prevents potential runtime TypeErrors.

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[gemini-code-assist]

If json_schema is already passed as a dictionary (which is common in many orchestration frameworks or internal tool calls), calling json.loads() on it will raise a TypeError. To make this more robust, we should check if json_schema is a string before parsing it, and accept it directly if it is already a dictionary.

Suggested change

	try:
	schema = json.loads(json_schema)
	except Exception:
	raise ValueError(f"not correct json_schema format: {json_schema}")
	if isinstance(json_schema, str):
	try:
	schema = json.loads(json_schema)
	except Exception:
	raise ValueError(f"not correct json_schema format: {json_schema}")
	elif isinstance(json_schema, dict):
	schema = json_schema
	else:
	raise ValueError("json_schema must be a string or a dictionary")