forktex-intelligence 0.2.3

Standalone Python SDK for the ForkTex Intelligence API — chat, agent runs, embeddings, retrieval, ecosystem indexing

forktex-intelligence

Standalone Python SDK for the ForkTex Intelligence API.

forktex-intelligence is the high-level Python client for the ForkTex Intelligence platform: multi-provider LLM chat (streaming + structured), embeddings, vector search, content extraction (PDF / DOCX / HTML), and image / audio generation. It backs the forktex intelligence ask / run / scrape CLI commands and is also usable directly from any Python application.

Install

pip install forktex-intelligence

Requires Python 3.12+. Tested on 3.12, 3.13, 3.14.

Quick Start

Single-shot prompt

from forktex_intelligence import Intelligence

async with Intelligence(endpoint="https://intelligence.forktex.com/api", api_key="sk-...") as ai:
    response = await ai.chat("Summarize the ForkTex stack in one sentence.")
    print(response.text)

Structured response (Pydantic schema)

from pydantic import BaseModel
from forktex_intelligence import Intelligence

class Summary(BaseModel):
    title: str
    bullets: list[str]

async with Intelligence(endpoint="...", api_key="...") as ai:
    result = await ai.extract_structured(
        prompt="Summarize the ForkTex stack.",
        schema=Summary,
    )
    print(result.parsed.title, result.parsed.bullets)

Streaming

from forktex_intelligence import Intelligence

async with Intelligence(endpoint="...", api_key="...") as ai:
    async for chunk in ai.stream("Tell me a story."):
        print(chunk, end="", flush=True)

Configuration

Pass endpoint and API key explicitly:

Intelligence(endpoint="https://intelligence.forktex.com/api", api_key="sk-...")

Or via an IntelligenceSettings object:

from forktex_intelligence import IntelligenceSettings, Intelligence

settings = IntelligenceSettings(endpoint="...", api_key="...")
async with Intelligence(settings=settings) as ai:
    ...

When used via the forktex CLI, settings are loaded from environment variables and .forktex/ config files automatically.

Variable	Description	Default
FORKTEX_INTELLIGENCE_ENDPOINT	Intelligence API endpoint	https://intelligence.forktex.com/api
FORKTEX_INTELLIGENCE_API_KEY	Intelligence API key	(required)

Local dev (point at your make local stack)

export FORKTEX_INTELLIGENCE_ENDPOINT=http://localhost:8001/api
export FORKTEX_INTELLIGENCE_API_KEY=dev-key

Or programmatically:

from forktex_intelligence import Intelligence
intel = Intelligence(endpoint="http://localhost:8001/api", api_key="dev-key")

What's in the package

Module	Purpose
forktex_intelligence.api	High-level Intelligence client (chat, structured, stream)
forktex_intelligence.client	Low-level ForktexIntelligenceClient (raw HTTP, advanced use)
forktex_intelligence.client.generated	Wire-level Pydantic models (ChatMessage, ChatResponse, …) generated from the OpenAPI spec
forktex_intelligence.streams	SSE event types and parser
forktex_intelligence.config	IntelligenceSettings — endpoint, API key

All response models come from the OpenAPI codegen pipeline — one source of truth shared between the server and every consumer.

Repository

This SDK lives inside the forktex/intelligence monorepo alongside the API server (api/). The SDK package is independently versioned and published to PyPI.

Development

The Makefile is generated by forktex fsd makefile sync from forktex.json — do not hand-edit.

make help              # list every available target
make deps              # editable install with the dev group
make format            # ruff format
make lint              # ruff check
make test              # pytest tests/
make codegen-check     # verify the generated client imports cleanly
make build             # python3 -m build → dist/
make ci                # format-check + lint + license-check + audit + test + build
make clean             # remove caches and dist/

make ci is the single command that gates a publish: format-check, lint, dual-license header check, dependency CVE audit, full test suite, and python -m build + twine check.

License headers

Every source file carries the AGPL-3.0 + Commercial dual-license SPDX header, applied idempotently via:

make license-check    # CI gate — fails if any source file is missing the header
make license-fix      # add or refresh headers across src/, tests/, scripts/
make license-strip    # remove headers (used before license-model changes)

License

Dual-licensed — AGPL-3.0-or-later for open-source use, commercial for everything else (proprietary products, SaaS without source release, redistribution in closed-source form). See LICENSE and NOTICE for the full terms.

Commercial licensing inquiries: [e-mail].

The 1.0.0 release on PyPI remains under MIT; from 0.2.3 onwards the package ships AGPL-3.0+Commercial.