fix: add Bedrock models meta.llama4-scout-17b-instruct-v1:0 +3 more

[github-actions]

fix: add Bedrock models meta.llama4-scout-17b-instruct-v1:0 +3 more

Closes #557

Source issue: #557

Summary

Field	Value
Provider	bedrock
Primary model	meta.llama4-scout-17b-instruct-v1:0
Changed models	meta.llama4-scout-17b-instruct-v1:0 us.meta.llama4-scout-17b-instruct-v1:0 meta.llama4-maverick-17b-instruct-v1:0 us.meta.llama4-maverick-17b-instruct-v1:0
Added models	meta.llama4-scout-17b-instruct-v1:0 us.meta.llama4-scout-17b-instruct-v1:0 meta.llama4-maverick-17b-instruct-v1:0 us.meta.llama4-maverick-17b-instruct-v1:0
Updated models	None
Verification sources	1 2 3 4

Verified metadata

Model	Display name	Parent	Providers	Format	Flavor	Token limits	Pricing	Lifecycle
meta.llama4-scout-17b-instruct-v1:0	Llama 4 Scout		bedrock	converse	chat	input=10000000, output=8000	n/a	multimodal=true
us.meta.llama4-scout-17b-instruct-v1:0	US Llama 4 Scout	meta.llama4-scout-17b-instruct-v1:0	bedrock	converse	chat	input=10000000, output=8000	n/a	parent=meta.llama4-scout-17b-instruct-v1:0; multimodal=true
meta.llama4-maverick-17b-instruct-v1:0	Llama 4 Maverick		bedrock	converse	chat	input=1000000, output=8000	n/a	multimodal=true
us.meta.llama4-maverick-17b-instruct-v1:0	US Llama 4 Maverick	meta.llama4-maverick-17b-instruct-v1:0	bedrock	converse	chat	input=1000000, output=8000	n/a	parent=meta.llama4-maverick-17b-instruct-v1:0; multimodal=true

Verification notes

Verification

Sources and verified fields

• AWS Llama 4 Scout model card (https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-meta-llama-4-scout-17b-instruct.html): Verified model ID, geo inference ID, context window (10M), max output tokens (8K), multimodal (text+image input), format (Converse API), lifecycle (active), no global inference support
• AWS Llama 4 Maverick model card (https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-meta-llama-4-maverick-17b-instruct.html): Verified model ID, geo inference ID, context window (1M), max output tokens (8K), multimodal (text+image input), format (Converse API), lifecycle (active), no global inference support

sync_models (LiteLLM) cross-check

• No entries for meta.llama4-scout-17b-instruct-v1:0, us.meta.llama4-scout-17b-instruct-v1:0, meta.llama4-maverick-17b-instruct-v1:0, or us.meta.llama4-maverick-17b-instruct-v1:0 exist in the LiteLLM model_prices_and_context_window_backup.json catalog. All proposed values are sourced directly from official AWS documentation. No deviations to report since no sync_models baseline exists for comparison.

Fields not published / omitted

• input_cost_per_mil_tokens / output_cost_per_mil_tokens: The AWS Bedrock pricing page has a Llama 4 section but the actual pricing values are loaded dynamically and could not be extracted. Pricing fields are omitted rather than guessed.
• input_cache_read_cost_per_mil_tokens / input_cache_write_cost_per_mil_tokens: No cache pricing published for these models.
• supported_regions: Not applicable for Bedrock models (this field is for Vertex models only).

Display name rationale

• Display names follow the existing catalog pattern for Bedrock models (e.g., amazon.nova-pro-v1:0 → "Nova Pro", us.amazon.nova-pro-v1:0 → "US Nova Pro").
• "Llama 4 Scout" and "Llama 4 Maverick" match Meta's official naming; the US-prefixed variants add "US " prefix consistent with existing us. Bedrock entries.

Parent field rationale

• us.meta.llama4-scout-17b-instruct-v1:0 → parent meta.llama4-scout-17b-instruct-v1:0: The us. prefix is a Bedrock geo-scoped variant of the base model, following the same pattern as us.amazon.nova-pro-v1:0 → amazon.nova-pro-v1:0 in the existing catalog.
• us.meta.llama4-maverick-17b-instruct-v1:0 → parent meta.llama4-maverick-17b-instruct-v1:0: Same pattern.

sync_models vs proposed update

sync_models cross-check found differences. Official provider verification was used for the applied values, and sync_models discrepancies are listed below for review.

Model	Field	Proposed update	sync_models	sync_models source models
meta.llama4-scout-17b-instruct-v1:0	max_input_tokens	10000000	128000	meta.llama4-scout-17b-instruct-v1:0
meta.llama4-scout-17b-instruct-v1:0	max_output_tokens	8000	4096	meta.llama4-scout-17b-instruct-v1:0
meta.llama4-scout-17b-instruct-v1:0	input_cost_per_mil_tokens	n/a	0.17	meta.llama4-scout-17b-instruct-v1:0
meta.llama4-scout-17b-instruct-v1:0	output_cost_per_mil_tokens	n/a	0.66	meta.llama4-scout-17b-instruct-v1:0
us.meta.llama4-scout-17b-instruct-v1:0	max_input_tokens	10000000	128000	us.meta.llama4-scout-17b-instruct-v1:0
us.meta.llama4-scout-17b-instruct-v1:0	max_output_tokens	8000	4096	us.meta.llama4-scout-17b-instruct-v1:0
us.meta.llama4-scout-17b-instruct-v1:0	input_cost_per_mil_tokens	n/a	0.17	us.meta.llama4-scout-17b-instruct-v1:0
us.meta.llama4-scout-17b-instruct-v1:0	output_cost_per_mil_tokens	n/a	0.66	us.meta.llama4-scout-17b-instruct-v1:0
meta.llama4-maverick-17b-instruct-v1:0	max_input_tokens	1000000	128000	meta.llama4-maverick-17b-instruct-v1:0
meta.llama4-maverick-17b-instruct-v1:0	max_output_tokens	8000	4096	meta.llama4-maverick-17b-instruct-v1:0
meta.llama4-maverick-17b-instruct-v1:0	input_cost_per_mil_tokens	n/a	0.24	meta.llama4-maverick-17b-instruct-v1:0
meta.llama4-maverick-17b-instruct-v1:0	output_cost_per_mil_tokens	n/a	0.97	meta.llama4-maverick-17b-instruct-v1:0
us.meta.llama4-maverick-17b-instruct-v1:0	max_input_tokens	1000000	128000	us.meta.llama4-maverick-17b-instruct-v1:0
us.meta.llama4-maverick-17b-instruct-v1:0	max_output_tokens	8000	4096	us.meta.llama4-maverick-17b-instruct-v1:0
us.meta.llama4-maverick-17b-instruct-v1:0	input_cost_per_mil_tokens	n/a	0.24	us.meta.llama4-maverick-17b-instruct-v1:0
us.meta.llama4-maverick-17b-instruct-v1:0	output_cost_per_mil_tokens	n/a	0.97	us.meta.llama4-maverick-17b-instruct-v1:0

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