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Pydantic v2 patterns used across echo-sdk configs and schemas — ConfigDict, model_validate, field_validator, no v1 patterns. Use when adding/editing config or schema models.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
Router for any non-trivial echo-sdk task. Maps user intent to the right module skill and diagram. Invoke FIRST for any change to src/echo/ before reaching for a specific module skill.
Recipe for adding a new provider (LLM, transcriber, eval, prompt). Use whenever adding Cohere, Mistral, Deepgram, Phoenix, Promptlayer, etc. — anything that plugs into an existing get_*() factory.
End-to-end recipe for defining a Skill bundle and wiring it into a GenericAgent with the right activation mode and tool registry. Use when extending agent capability via swappable skills rather than baking tools in.
Building agents with BaseAgent / GenericAgent, including skill registration, activation modes (llm vs manual), and system-prompt composition. Use when editing src/echo/agents/ or building a new agent subclass.
Audio transcription provider abstraction (Gemini, EkaCare). Use when transcribing audio, adding a new transcriber, or shaping AudioInput.
Postgres support — asyncpg client, schema-aware binder, PgQueryTool surface. Use when querying postgres from a tool, modifying the binder, or adding a new DB engine.
| name | python-pydantic-v2 |
| description | Pydantic v2 patterns used across echo-sdk configs and schemas — ConfigDict, model_validate, field_validator, no v1 patterns. Use when adding/editing config or schema models. |
The project is Pydantic ≥2.12. Don't write v1 code.
ConfigDict not inner class Config. model_config = ConfigDict(frozen=True, ...).model_validate(data) not parse_obj(data).model_dump() not dict(). For JSON: orjson.dumps(model.model_dump()) — never model.model_dump_json() if you want orjson speed; use it if you want stdlib semantics.field_validator not validator. @field_validator("name") with @classmethod.model_validator(mode="after") not root_validator.Annotated[T, Field(...)] is preferred for field metadata over positional Field(...).Optional[T] = None is fine; list[T] = Field(default_factory=list) for mutable defaults (Pydantic 2 enforces this).model_config = ConfigDict(frozen=True) on configs that should not be mutated after construction.Message.content variants): Annotated[Union[...], Field(discriminator="type")].LLMConfig, AgentConfig, PersonaConfig, TaskConfig, MCPServerConfig, PostgresConfig — all Pydantic v2.ConversationContext, Message, ToolCall, ToolResult — Pydantic v2 with polymorphic content.class Config: arbitrary_types_allowed = True → model_config = ConfigDict(arbitrary_types_allowed=True).from pydantic import validator → field_validator..dict() / .json() → .model_dump() / orjson.dumps(.model_dump()).model_copy(update={...}).[[python-orjson-only]], [[python-typing-discipline]]