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Merge pull request #741 from Pipelex/release/v0.20.1
Release v0.20.1
2 parents 2ad3381 + aae1b85 commit 2ffc33f

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.pipelex-dev/test_profiles.toml

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################################################################################
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[profiles.coverage]
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description = "One model per backend for coverage"
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backends = ["anthropic", "openai", "google", "mistral", "internal"]
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backends = ["anthropic", "openai", "google", "mistral", "linkup", "internal"]
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llm_models = [
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"claude-4.5-haiku",
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"gpt-4o-mini",

.pipelex/inference/backends/pipelex_gateway_models.md

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> **AUTO-GENERATED FILE** - Do not edit manually.
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> Last updated: 2026-03-04T00:21:08Z
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> Last updated: 2026-03-04T07:00:39Z
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>
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> Run `pipelex-dev update-gateway-models` or `make ugm` to regenerate.

.pipelex/inference/backends/pipelex_gateway_models_plain.md

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> **AUTO-GENERATED FILE** - Do not edit manually.
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> Last updated: 2026-03-04T00:21:08Z
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> Last updated: 2026-03-04T07:00:39Z
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>
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> Run `pipelex-dev update-gateway-models` or `make ugm` to regenerate.

.pipelex/pipelex.toml

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####################################################################################################
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[pipelex.storage_config]
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# Storage method: "local", "in_memory" (default), "s3", or "gcp"
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# Storage method: "local", "in_memory", "s3", or "gcp"
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method = "local"
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# Whether to fetch remote HTTP URLs and store them locally
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is_fetch_remote_content_enabled = true

CHANGELOG.md

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# Changelog
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## [v0.20.1] - 2026-03-03
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### Changed
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- **Cost Report Consistency**: Renamed `platform_llm_id` field to `platform_model_id` in `LLMTokenCostReport`, aligning with all other report types (ImgGen, Extract, Search, Fetch) that already use `platform_model_id`.
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- **Test Coverage**: Added `linkup` backend to the coverage test profile.
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## [v0.20.0] - 2026-03-03
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### Added

pipelex/kit/configs/pipelex.toml

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####################################################################################################
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[pipelex.storage_config]
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# Storage method: "local", "in_memory" (default), "s3", or "gcp"
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# Storage method: "local", "in_memory", "s3", or "gcp"
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method = "local"
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# Whether to fetch remote HTTP URLs and store them locally
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is_fetch_remote_content_enabled = true

pyproject.toml

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[project]
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name = "pipelex"
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version = "0.20.0"
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version = "0.20.1"
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description = "Execute composable AI methods declared in the MTHDS open standard"
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authors = [{ name = "Evotis S.A.S.", email = "oss@pipelex.com" }]
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maintainers = [{ name = "Pipelex staff", email = "oss@pipelex.com" }]

uv.lock

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