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Gemini helper wrappers for Sigil Python SDK

Project description

Sigil Python Provider Helper: Gemini

sigil-sdk-gemini provides strict Gemini Models wrappers and mappers for Sigil.

Installation

pip install sigil-sdk sigil-sdk-gemini google-genai

Public API

  • Wrappers:
    • models.generate_content(...)
    • models.generate_content_async(...)
    • models.generate_content_stream(...)
    • models.generate_content_stream_async(...)
    • models.embed_content(...)
    • models.embed_content_async(...)
  • Mappers:
    • models.from_request_response(...)
    • models.from_stream(...)
    • models.embedding_from_response(...)

Wrapper Mode (Sync)

from google.genai import types as genai_types
from sigil_sdk import Client, ClientConfig
from sigil_sdk_gemini import GeminiOptions, models

client = Client(ClientConfig())

model = "gemini-2.5-pro"
contents = [genai_types.Content(role="user", parts=[genai_types.Part(text="Hello")])]
config = genai_types.GenerateContentConfig(max_output_tokens=256)

response = models.generate_content(
    client,
    model,
    contents,
    config,
    lambda req_model, req_contents, req_config: gemini_client.models.generate_content(
        model=req_model,
        contents=req_contents,
        config=req_config,
    ),
    GeminiOptions(conversation_id="conv-1", agent_name="assistant", agent_version="1.0.0"),
)

Wrapper Mode (Stream)

from sigil_sdk_gemini import GeminiStreamSummary, models

summary = models.generate_content_stream(
    client,
    model,
    contents,
    config,
    lambda req_model, req_contents, req_config: GeminiStreamSummary(
        responses=list(gemini_client.models.generate_content_stream(
            model=req_model,
            contents=req_contents,
            config=req_config,
        ))
    ),
)

Mapper Mode

generation = models.from_request_response(model, contents, config, response)
stream_generation = models.from_stream(model, contents, config, summary)

Embedding example

embedding_response = models.embed_content(
    client,
    "gemini-embedding-001",
    contents,
    None,
    lambda req_model, req_contents, req_config: gemini_client.models.embed_content(
        model=req_model,
        contents=req_contents,
        config=req_config,
    ),
)

Raw Provider Artifacts (Opt-In)

options = GeminiOptions(raw_artifacts=True)

Raw artifacts are default OFF and should only be enabled for diagnostics.

Provider metadata mapping

Gemini-specific fields are mapped as follows:

  • usage.thoughts_token_count -> normalized usage.reasoning_tokens
  • usage.tool_use_prompt_token_count -> metadata sigil.gen_ai.usage.tool_use_prompt_tokens
  • config.thinking_config.thinking_budget -> metadata sigil.gen_ai.request.thinking.budget_tokens
  • config.thinking_config.thinking_level -> metadata sigil.gen_ai.request.thinking.level

Project details


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